{"meta":{"query_hash":"3bd13bab3a51","filters":{"topic":"Housing Market and Economics"},"cohort_total":2239,"direct_labels_cover":3,"predictions_cover":2239,"exported":2239,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/3bd13bab3a51","api":"https://metacan.xera.ac/api/v1/cohort?topic=Housing+Market+and+Economics"},"results":[{"id":"W100612750","doi":"","title":"Explaining the United States' Uniquely Bad Housing Market","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Real estate; Economics; Business; Monetary economics; Finance","score_opus":0.02255285102472465,"score_gpt":0.2065302321149535,"score_spread":0.18397738109022885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W100612750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93120825,0.0015487436,0.011663823,0.001642325,0.00050247967,0.00012001988,0.00000922083,0.00006734666,0.0532378],"genre_scores_gemma":[0.9638129,0.032998275,0.00018142679,0.00059100514,0.00024099315,0.0000046996147,0.000012556346,0.000058173933,0.0021000095],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969425,0.0000672247,0.00064866163,0.00026999018,0.00004787451,0.0020237565],"domain_scores_gemma":[0.9989922,0.000120632634,0.00045623354,0.00029009298,0.000041954903,0.00009885383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035334746,0.0002057608,0.0003222479,0.00033322023,0.0008891139,0.00013212606,0.0004421533,0.00009976962,0.00024801077],"category_scores_gemma":[0.00011127799,0.00019091954,0.00016264406,0.00037211468,0.000113446964,0.0003091275,0.000061660474,0.0015556385,0.00015901738],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028237616,0.00016252235,0.10713069,0.000012199322,0.00048996904,0.00005447834,0.003954494,0.0035888827,0.0000073982706,0.85980445,0.009184521,0.015328012],"study_design_scores_gemma":[0.0016511432,0.00029640997,0.0061502936,0.000031466105,0.000023139939,0.0016432856,0.003975725,0.02607824,0.000016320146,0.72742987,0.23184964,0.00085444114],"about_ca_topic_score_codex":0.00041737466,"about_ca_topic_score_gemma":0.0003347764,"teacher_disagreement_score":0.22266513,"about_ca_system_score_codex":0.0009774637,"about_ca_system_score_gemma":0.00046108375,"threshold_uncertainty_score":0.7785473},"labels":[],"label_agreement":null},{"id":"W102049173","doi":"","title":"Inflation Dynamics over the Last Quarter Century","year":2008,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic rent; Quarter (Canadian coin); Economics; Econometrics; Inflation (cosmology); Poisson distribution; Percentage point; Statistics; Mathematics; Microeconomics; Finance; Physics","score_opus":0.015009025898608787,"score_gpt":0.18187813045846474,"score_spread":0.16686910455985596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W102049173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61277556,0.00004961535,0.0017054308,0.0004215322,0.0004145511,0.00007112771,0.000011660466,0.000036635658,0.38451388],"genre_scores_gemma":[0.99782515,0.000406348,0.00017840948,0.00047339572,0.00014258253,0.000005085627,0.000017186594,0.000015509266,0.0009363544],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992812,0.000006456593,0.00032457567,0.0001842509,0.000015328498,0.00018818038],"domain_scores_gemma":[0.9995292,0.000037730224,0.00012786698,0.0002585467,0.000009659721,0.000037000485],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00020581835,0.000091318,0.00014965366,0.00007493068,0.00017908029,0.000047614558,0.00013776153,0.00006744531,0.0009773992],"category_scores_gemma":[0.000019986284,0.00008094588,0.00007686103,0.00009979926,0.000054000233,0.00021499934,0.00003231894,0.00009580764,0.000961216],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013155512,0.000053061485,0.6426592,0.0000068037457,0.000034718287,0.000002633548,0.0010381121,0.0003208018,0.0000020458826,0.33712512,0.015834145,0.0029101933],"study_design_scores_gemma":[0.00059397647,0.000035523124,0.61848783,0.0000036226497,0.000003830419,0.000016866306,0.00023095349,0.10184038,0.0000064186484,0.016457347,0.26193404,0.00038923425],"about_ca_topic_score_codex":0.00011384705,"about_ca_topic_score_gemma":0.00019531554,"teacher_disagreement_score":0.38504955,"about_ca_system_score_codex":0.000102476304,"about_ca_system_score_gemma":0.000009740891,"threshold_uncertainty_score":0.99993587},"labels":[],"label_agreement":null},{"id":"W1027360071","doi":"","title":"Perception versus reality: The portfolio allocations of UK property companies","year":2000,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Portfolio; Black–Litterman model; Rate of return on a portfolio; Separation property; Asset allocation; Property (philosophy); Modern portfolio theory; Asset (computer security); Capital asset pricing model; Business; Quarter (Canadian coin); Economics; Actuarial science; Portfolio optimization; Replicating portfolio; Financial economics; Econometrics; Computer science","score_opus":0.06458206734622225,"score_gpt":0.2400797922516121,"score_spread":0.17549772490538984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1027360071","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34164262,0.000033856668,0.00013017692,0.0013561468,0.00014904987,0.00009994511,0.000016620423,0.000023113009,0.6565485],"genre_scores_gemma":[0.9892495,0.0006991325,0.00022756396,0.00013058819,0.00006859875,0.000009322083,0.000017601076,0.000010157704,0.009587506],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99926555,0.000009673846,0.00040075678,0.00016998265,0.000016010457,0.00013800997],"domain_scores_gemma":[0.9994898,0.000033844626,0.000110406,0.0003180226,0.000018170174,0.00002977308],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003403985,0.00007715754,0.00018929856,0.00005293635,0.00010910064,0.000039190723,0.00016578761,0.000046882724,0.011524869],"category_scores_gemma":[0.000021618609,0.00005472095,0.00007508604,0.0001078002,0.000088384324,0.00010888896,0.000018339286,0.00006114578,0.00070340396],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007257368,0.00058857887,0.09208944,0.00008523102,0.00040740817,0.0000015571086,0.0056805364,0.0052254745,0.000071436865,0.5320104,0.09660372,0.26651052],"study_design_scores_gemma":[0.0017557787,0.00020936808,0.17702788,0.000016732327,0.000033613323,0.000005069892,0.0018641164,0.039905272,0.000029556673,0.022111809,0.7564329,0.0006079311],"about_ca_topic_score_codex":0.0022887208,"about_ca_topic_score_gemma":0.0003430966,"teacher_disagreement_score":0.65982914,"about_ca_system_score_codex":0.00005108042,"about_ca_system_score_gemma":0.000015575104,"threshold_uncertainty_score":0.98937875},"labels":[],"label_agreement":null},{"id":"W107003358","doi":"","title":"Macroeconomic Factors and the German Real Estate Market: A Stock-Market-Based Forecasting Experiment","year":2012,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; Economics; Stock market; Stock market index; Econometrics; Financial economics; Stock (firearms); Index (typography); German; Macro; Finance; Computer science","score_opus":0.03598774184154176,"score_gpt":0.24060062291123055,"score_spread":0.20461288106968878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W107003358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86775357,0.044190735,0.000051284245,0.00054181414,0.000377977,0.0006114364,0.00012083037,0.000013898397,0.08633847],"genre_scores_gemma":[0.53178114,0.4672095,0.0004975461,0.00023741653,0.00006769818,0.000046537265,0.000007693439,0.000031356736,0.0001211433],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99782646,0.000045459874,0.001195847,0.00043340836,0.000014263007,0.0004845503],"domain_scores_gemma":[0.99804115,0.00030512168,0.0010659616,0.0004644921,0.000017889268,0.00010541132],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021632765,0.00032433213,0.0011104491,0.000103907136,0.00018193503,0.00006879898,0.0002339787,0.00009130199,0.00019248588],"category_scores_gemma":[0.000085779524,0.0002901604,0.00021746299,0.00007027665,0.000312561,0.00035428928,0.00013384543,0.00014349942,0.000014099478],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074337126,0.00041668897,0.23445308,0.009260979,0.00052475254,0.0000033822112,0.0051451726,0.00013919825,0.000004175313,0.4382339,0.0060682492,0.30500704],"study_design_scores_gemma":[0.005275283,0.00018180611,0.045137055,0.0017959388,0.00013721187,0.000042011987,0.00022281706,0.14267692,0.00010872655,0.008877092,0.79365087,0.001894247],"about_ca_topic_score_codex":0.0002917025,"about_ca_topic_score_gemma":0.00003609526,"teacher_disagreement_score":0.78758264,"about_ca_system_score_codex":0.000111768786,"about_ca_system_score_gemma":0.00003615094,"threshold_uncertainty_score":0.99995506},"labels":[],"label_agreement":null},{"id":"W109190487","doi":"","title":"Homebuilders Choice Behaviour analysis/Une Analyse Du Comportement Des Constructeurs Immobiliers Dans Leur Choix","year":2008,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Multinomial logistic regression; Discrete choice; Spatial analysis; Mixed logit; Econometrics; Welfare economics; Humanities; Geography; Economics; Mathematics; Logistic regression; Statistics; Art","score_opus":0.04057779591153716,"score_gpt":0.2259523656123546,"score_spread":0.18537456970081745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W109190487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9821065,0.0048037777,0.0015348803,0.004735602,0.0023018937,0.00011708682,0.00011785858,0.0000057875272,0.004276631],"genre_scores_gemma":[0.99277836,0.0034732865,0.0021602847,0.00038833029,0.00033001,0.0000018226788,0.000009619233,0.000025059853,0.0008332542],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965448,0.000052876316,0.0014726584,0.0006098856,0.00020663856,0.0011131726],"domain_scores_gemma":[0.99561,0.00011106355,0.0015228508,0.00043785185,0.0003946022,0.001923635],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.002052517,0.000326276,0.0009311941,0.0025552597,0.0014315175,0.0003000647,0.0012500272,0.000158075,0.0005043989],"category_scores_gemma":[0.00027798617,0.00041071197,0.0006635875,0.003546164,0.007237058,0.0013328543,0.000046932902,0.00045078038,0.00004751636],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009659287,0.00005509019,0.9820736,0.000011922144,0.00035293435,0.00035014594,0.0017175451,0.008248403,0.000012040109,0.0025024884,0.003053441,0.0016127232],"study_design_scores_gemma":[0.0006732391,0.00014585692,0.9488225,0.000069401314,0.00031413196,0.0013325396,0.0017063464,0.0040838583,0.000015980084,0.0009339566,0.041369695,0.00053246954],"about_ca_topic_score_codex":0.11967627,"about_ca_topic_score_gemma":0.22334418,"teacher_disagreement_score":0.1036679,"about_ca_system_score_codex":0.002516707,"about_ca_system_score_gemma":0.0038155068,"threshold_uncertainty_score":0.9998685},"labels":[],"label_agreement":null},{"id":"W1135412266","doi":"10.1080/10835547.2013.12090363","title":"Valuing Historical Land Claims and Its Loss of Use","year":2013,"lang":"en","type":"article","venue":"Journal of Real Estate Literature","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Arbitration; Asset (computer security); Economics; Compensation (psychology); Government (linguistics); Law and economics; Actuarial science; Law; Political science; Computer science","score_opus":0.019108531250089964,"score_gpt":0.20040458898609784,"score_spread":0.18129605773600788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1135412266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99168074,0.0009904095,0.00003726627,0.00041540805,0.00047142425,0.000056742087,0.000024968454,0.0000047570197,0.00631829],"genre_scores_gemma":[0.98098946,0.017170202,0.0009602239,0.000046498688,0.00020275485,7.181441e-7,0.0000033145375,0.000017549688,0.0006092835],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989784,0.000016052612,0.0006836353,0.00012613188,0.00003152643,0.0001642734],"domain_scores_gemma":[0.99891996,0.00007853,0.0006704884,0.00010400121,0.00010500319,0.00012200795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000353525,0.00010971785,0.0004282706,0.00020751574,0.000034884022,0.00016918487,0.00010924404,0.00011893674,0.000046022607],"category_scores_gemma":[0.00007489165,0.00010107772,0.000103734295,0.0001185625,0.000018860934,0.00085021975,0.000028337172,0.00026950892,0.000011093875],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003506844,0.00027483082,0.92702407,0.00049684703,0.0002800833,0.00022040438,0.010659719,0.000349032,0.0005342186,0.012295016,0.012687303,0.034827784],"study_design_scores_gemma":[0.005375293,0.0013777716,0.49498352,0.00087141537,0.00008825077,0.0012857608,0.00019584323,0.011372949,0.00026442748,0.05094947,0.43182415,0.0014111316],"about_ca_topic_score_codex":0.00012946194,"about_ca_topic_score_gemma":0.000005412319,"teacher_disagreement_score":0.43204054,"about_ca_system_score_codex":0.00012331051,"about_ca_system_score_gemma":0.000016596592,"threshold_uncertainty_score":0.41218296},"labels":[],"label_agreement":null},{"id":"W1153193293","doi":"","title":"DOME DISEASES: PARTY COMPETITION, LEGISLATIVE OVERSIGHT AND GOVERNMENT ACCOUNTABILITY IN THREE CANADIAN PROVINCES","year":2011,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Accountability; Legislature; Government (linguistics); Competition (biology); Political science; Business; Dome (geology); Public administration; Law; Biology","score_opus":0.020175279708449637,"score_gpt":0.17384161152024816,"score_spread":0.1536663318117985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1153193293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70929503,0.000081535516,0.000096761454,0.00011194319,0.00014940041,0.00019695733,0.00042506374,0.000019542449,0.28962377],"genre_scores_gemma":[0.99923027,0.00015616948,0.00009053514,0.00009191602,0.000024622925,0.000001395814,0.000016820144,0.000011383222,0.00037687254],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99898416,0.000020085205,0.00022637832,0.00042436775,0.000034318018,0.00031068863],"domain_scores_gemma":[0.9993403,0.00003966472,0.0001371739,0.00024238364,0.000017392831,0.0002230707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000186185,0.00015246312,0.0002745934,0.00023548622,0.00014971259,0.00004435227,0.00021904918,0.000096057476,0.0007794238],"category_scores_gemma":[0.00002483406,0.00019842318,0.000060520484,0.00024373128,0.00015300482,0.00067994604,0.00008006564,0.00012339967,0.0000809284],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073372816,0.00006419536,0.9466765,0.00001362533,0.000022937966,0.000024574694,0.00017254199,0.000006980286,3.0879846e-8,0.052392237,0.0002734655,0.0002795205],"study_design_scores_gemma":[0.0014596557,0.000085398584,0.71308696,0.000027423472,0.000022838005,1.1395615e-8,0.0079713,0.00072401226,0.0000107032565,0.019455709,0.2565906,0.00056534534],"about_ca_topic_score_codex":0.11561105,"about_ca_topic_score_gemma":0.95434904,"teacher_disagreement_score":0.83873796,"about_ca_system_score_codex":0.0010012803,"about_ca_system_score_gemma":0.00008781356,"threshold_uncertainty_score":0.89027816},"labels":[],"label_agreement":null},{"id":"W1173005345","doi":"10.1111/jmcb.12304","title":"Determinants of Mortgage Default and Consumer Credit Use: The Effects of Foreclosure Laws and Foreclosure Delays","year":2015,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University","keywords":"Default; Foreclosure; Home equity; Debt; Synthetic CDO; Business; Mortgage underwriting; Financial system; Shared appreciation mortgage; Credit card; Credit history; Household debt; iTraxx; Equity (law); Mortgage insurance; Credit derivative; Credit reference; Monetary economics; Finance; Credit risk; Economics; Credit enhancement; Credit valuation adjustment; Payment; Law; Insurance policy","score_opus":0.0320427324671742,"score_gpt":0.22802621697188394,"score_spread":0.19598348450470973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1173005345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917914,0.0065066246,0.00015954659,0.000082866485,0.0006495383,0.00012292311,0.00002942258,0.0000035858407,0.0006540646],"genre_scores_gemma":[0.99606335,0.0029039977,0.0006929021,0.000037260845,0.00024018943,0.0000015589995,0.000001097595,0.00002036104,0.000039277973],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99870694,0.000031578875,0.0008319293,0.00016323497,0.00006729095,0.00019902775],"domain_scores_gemma":[0.9980818,0.0004136899,0.0011182138,0.00015371853,0.000106740714,0.00012584207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001319756,0.00015799626,0.0006487936,0.00017445761,0.00008837614,0.00008196994,0.00013803958,0.00013650206,0.00000691559],"category_scores_gemma":[0.0005407806,0.00012705047,0.00009060202,0.00008252355,0.0001990225,0.00043718878,0.000090969,0.00021020499,5.826081e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016246566,0.00004703136,0.98713726,0.00022946483,0.00012517862,0.000022717659,0.0012066559,0.00001643029,0.00009315087,0.0007582498,0.0014506688,0.008750737],"study_design_scores_gemma":[0.011343205,0.0026225469,0.8714837,0.0013161814,0.0005816511,0.0010942043,0.0010433702,0.014235174,0.003086877,0.071776554,0.020322701,0.00109383],"about_ca_topic_score_codex":0.00008754891,"about_ca_topic_score_gemma":0.000057328365,"teacher_disagreement_score":0.115653545,"about_ca_system_score_codex":0.000022589553,"about_ca_system_score_gemma":0.00003510106,"threshold_uncertainty_score":0.5180968},"labels":[],"label_agreement":null},{"id":"W1196080688","doi":"10.1016/j.jeca.2011.02.007","title":"Causes of the Financial Crisis and Great Recession: The Role of U.S. Monetary Policy","year":2011,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bust; Economics; Boom; Monetary policy; Recession; Monetary economics; Financial crisis; Great recession; Business cycle; Argument (complex analysis); Macroeconomics; Keynesian economics; Capital (architecture)","score_opus":0.023402576373157867,"score_gpt":0.20773370907062502,"score_spread":0.18433113269746715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1196080688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9677127,0.006428563,0.000042812764,0.0015194521,0.0005655198,0.000112227724,0.00004876767,0.0000033507733,0.023566594],"genre_scores_gemma":[0.99414086,0.0052322494,0.00012787798,0.00015561903,0.00024550525,0.0000010309207,2.8473585e-7,0.000016370148,0.00008017173],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985357,0.000060876722,0.0010683202,0.000117374315,0.00002989161,0.000187829],"domain_scores_gemma":[0.9975311,0.00021714243,0.0017559243,0.0004065031,0.000040395826,0.000048914102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015558132,0.00014488057,0.00053304195,0.00025020225,0.00016761964,0.000024423485,0.00065752165,0.000084301435,0.0001413959],"category_scores_gemma":[0.00027386728,0.00008533436,0.0002000764,0.00018952682,0.00037863365,0.00027511548,0.00017461134,0.00020813211,0.000012031542],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011967353,0.00019014977,0.7225935,0.00009674544,0.00076526526,0.00000192562,0.02009638,0.0006574196,0.000061649414,0.21130946,0.008904744,0.03412604],"study_design_scores_gemma":[0.0013722362,0.0004902255,0.4094454,0.00009681871,0.00020427792,0.0001432344,0.0057473467,0.0007451276,0.011136738,0.5300475,0.040078297,0.00049285707],"about_ca_topic_score_codex":0.0015255599,"about_ca_topic_score_gemma":0.00021217477,"teacher_disagreement_score":0.31873798,"about_ca_system_score_codex":0.000072512295,"about_ca_system_score_gemma":0.000115311974,"threshold_uncertainty_score":0.34798342},"labels":[],"label_agreement":null},{"id":"W1197080197","doi":"10.59139/ws.2014.08.6","title":"Wpływ uwarunkowań rynkowych i regulacyjnych na zdolność do zakupu mieszkań","year":2014,"lang":"en","type":"article","venue":"Wiadomości Statystyczne The Polish Statistician","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Loan; Real estate; Business; Interest rate; Period (music); Finance; Geography","score_opus":0.018542341339245705,"score_gpt":0.2172526606013412,"score_spread":0.1987103192620955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1197080197","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16004625,0.0008441427,0.10401889,0.008931942,0.006667598,0.0014802242,0.0033097873,0.00061134587,0.7140898],"genre_scores_gemma":[0.98734283,0.0003504753,0.0037032655,0.0025176345,0.0010733175,0.0000670273,0.00014382733,0.00018522244,0.0046163723],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.995786,0.00018086669,0.0014937246,0.0010252006,0.00014904235,0.0013651684],"domain_scores_gemma":[0.9963936,0.00070793723,0.0008736201,0.0015366423,0.000108157496,0.00038002848],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0020876923,0.0005992028,0.0010665866,0.00039477888,0.0007631231,0.0007141801,0.0011610916,0.0002378544,0.0011363039],"category_scores_gemma":[0.00091093115,0.0005899183,0.00026552664,0.00051464705,0.0005205321,0.00045255994,0.0002651322,0.0005087489,0.0027679726],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013841424,0.00028908547,0.009250306,0.000114884366,0.00019096276,0.000014212963,0.0031596022,0.00014743043,0.000017182174,0.86545175,0.08889859,0.032327596],"study_design_scores_gemma":[0.0031196102,0.00028076454,0.022376241,0.00008186545,0.000072678835,0.000036722733,0.00075937324,0.013183474,0.000055080043,0.38552994,0.57296264,0.0015416472],"about_ca_topic_score_codex":0.0017213393,"about_ca_topic_score_gemma":0.0004523019,"teacher_disagreement_score":0.8272966,"about_ca_system_score_codex":0.00034825408,"about_ca_system_score_gemma":0.00008297375,"threshold_uncertainty_score":0.9997768},"labels":[],"label_agreement":null},{"id":"W13019631","doi":"","title":"The impact of infrastructure charges on house prices in Australia","year":2014,"lang":"en","type":"article","venue":"Canadian hospital","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); House price; Public infrastructure; Business; Public economics; Empirical evidence; Economics; Finance; Monetary economics","score_opus":0.01152301990648221,"score_gpt":0.20957803319874496,"score_spread":0.19805501329226274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W13019631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97723484,0.000045092806,0.000004590421,0.0002662304,0.00036497082,0.00009680862,0.000069943504,0.000008897634,0.02190862],"genre_scores_gemma":[0.99962544,0.000060856295,0.000030252068,0.000035229947,0.00009103802,0.000004362226,0.000003857355,0.000020371386,0.00012858002],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991904,0.0000055307214,0.00028248996,0.00017577842,0.000012318885,0.00033349704],"domain_scores_gemma":[0.99938977,0.00004358096,0.00015056427,0.00024896642,0.000010036789,0.00015709785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002747244,0.000108845095,0.00020759739,0.00019604218,0.000068658606,0.000063841886,0.00023035971,0.00008760236,0.00016956216],"category_scores_gemma":[0.00012197182,0.00009641914,0.00008960441,0.000118846074,0.000057949983,0.00009216197,0.000010756252,0.00012631268,0.00018670634],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009932378,0.00001816926,0.9221571,0.0000070696715,0.00003074165,0.0000021145486,0.0006534418,0.0008280243,0.0000014162082,0.06532177,0.007427133,0.0035430545],"study_design_scores_gemma":[0.00020829328,0.00016306531,0.9703114,0.000007730095,9.0659523e-7,4.8662315e-7,0.000033732438,0.0007833779,0.000008181004,0.013090417,0.015229003,0.00016338532],"about_ca_topic_score_codex":0.09123517,"about_ca_topic_score_gemma":0.05120074,"teacher_disagreement_score":0.052231357,"about_ca_system_score_codex":0.000323342,"about_ca_system_score_gemma":0.00006213791,"threshold_uncertainty_score":0.9661124},"labels":[],"label_agreement":null},{"id":"W134916165","doi":"","title":"Competition in the Canadian Mortgage Market","year":2011,"lang":"en","type":"article","venue":"Bank of Canada review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Shared appreciation mortgage; Collateralized mortgage obligation; Competition (biology); Economics; Secondary mortgage market; Interest rate; Mortgage insurance; Financial system; Floating interest rate; Commercial mortgage-backed security; Mortgage underwriting; Monetary economics; Business; Finance","score_opus":0.04048108012130446,"score_gpt":0.19024659029847446,"score_spread":0.14976551017717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W134916165","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036126156,0.01296821,0.0000064989645,0.00141659,0.00018143878,0.00022422467,0.000059747606,0.0000026591845,0.98152804],"genre_scores_gemma":[0.97551304,0.020697251,0.000101827834,0.0033869857,0.000022605307,0.000017486751,0.000011530081,0.000010768688,0.00023852655],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99915874,0.000027896705,0.00045623007,0.00012851135,0.00002525744,0.00020334625],"domain_scores_gemma":[0.9994553,0.000024811363,0.00017355567,0.0002675739,0.000013094492,0.00006570063],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011238105,0.00007622346,0.00029976555,0.000071373615,0.00005338998,0.000009615437,0.00024644527,0.000030129779,0.0028396852],"category_scores_gemma":[0.00007306647,0.00007365327,0.00004789616,0.00014574063,0.000024227948,0.000057724297,0.000009687871,0.00008570711,0.0000197062],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012977886,0.00007538457,0.09000563,0.0024665464,0.000053892596,0.000082749066,0.0005598472,0.0000050704043,1.9200692e-7,0.553872,0.33205375,0.020811938],"study_design_scores_gemma":[0.00009175792,0.000009300332,0.09071085,0.0002677499,0.000005482462,0.0000055732976,0.000018878447,0.00008047482,8.4513545e-7,0.0030807701,0.90559375,0.00013456482],"about_ca_topic_score_codex":0.9774151,"about_ca_topic_score_gemma":0.9987002,"teacher_disagreement_score":0.9812895,"about_ca_system_score_codex":0.00024040345,"about_ca_system_score_gemma":0.00035897957,"threshold_uncertainty_score":0.99807185},"labels":[],"label_agreement":null},{"id":"W135227492","doi":"","title":"An Expert System for Online Residential Properties Valuation","year":2011,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Residential property; Valuation (finance); Legislation; Property market; Market value; Property value; Property (philosophy); Business; Actuarial science; Econometrics; Economics; Finance; Real estate; Economic geography","score_opus":0.11523114478064596,"score_gpt":0.2514993227796228,"score_spread":0.13626817799897684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W135227492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79534423,0.18388373,0.002957048,0.00044631827,0.0011888004,0.0015185196,0.00045228648,0.000051123156,0.014157976],"genre_scores_gemma":[0.60791606,0.38412464,0.0074314396,0.00020294584,0.00013859743,0.0000693843,0.00003302926,0.000029598075,0.000054330354],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984783,0.000013345594,0.0009333645,0.00037681576,0.000008448156,0.00018970971],"domain_scores_gemma":[0.99889326,0.000014533557,0.00063995057,0.00036460918,0.00004794439,0.00003967627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082269026,0.00015120802,0.0006390366,0.000081575905,0.00007640122,0.000026447822,0.00020100453,0.00007575565,0.000021895929],"category_scores_gemma":[0.000044131226,0.00016818993,0.00012323263,0.000046134915,0.00007683121,0.00035059004,0.00003232788,0.00004603669,0.0000163089],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013242937,0.00025442516,0.0011848919,0.006666553,0.00007626112,6.426797e-7,0.000765928,0.000065675944,0.000031647025,0.91650915,0.0004287154,0.07388369],"study_design_scores_gemma":[0.004927489,0.0018587294,0.013630495,0.014207788,0.00018262808,0.00005910836,0.0006552542,0.21255592,0.0034631172,0.121543944,0.62352216,0.0033933902],"about_ca_topic_score_codex":0.00013531592,"about_ca_topic_score_gemma":0.00003733897,"teacher_disagreement_score":0.7949652,"about_ca_system_score_codex":0.000062137704,"about_ca_system_score_gemma":0.000033594417,"threshold_uncertainty_score":0.6858586},"labels":[],"label_agreement":null},{"id":"W138641958","doi":"10.2139/ssrn.907147","title":"Inflation Expectation and Asset Allocation in the Presence of an Indexed Bond","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Bond; Treasury; Asset allocation; Economics; Interest rate; Financial economics; Equity (law); Real estate; Inflation (cosmology); Monetary economics; Real estate investment trust; Real interest rate; Portfolio; Finance","score_opus":0.010278290052916458,"score_gpt":0.20924526467846383,"score_spread":0.19896697462554735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W138641958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99235517,0.00042298192,0.002021065,0.00026612566,0.000050292623,0.0000802023,0.0000016995467,0.000003916188,0.004798539],"genre_scores_gemma":[0.9990674,0.0006515277,0.00011994611,0.000016361573,0.00008597299,0.0000036391152,0.000010694024,0.0000068904296,0.00003755877],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990682,0.000028268609,0.00037824063,0.00011427923,0.00002630018,0.0003846973],"domain_scores_gemma":[0.99953943,0.00004076266,0.00029452707,0.00009625882,0.000016454023,0.000012545356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019426262,0.000059245078,0.00011583071,0.00015238083,0.00006435518,0.000055841218,0.000111714864,0.00004927983,0.0000058686596],"category_scores_gemma":[0.000045368295,0.000058201378,0.000022488282,0.000119637654,0.000024346306,0.00043015784,0.000007417799,0.00030602008,0.0000034737207],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049628525,0.00010011175,0.24471928,0.000008053818,0.000015747475,5.370305e-7,0.0015290473,0.0012312173,0.00019634447,0.74211675,0.00003919469,0.009994074],"study_design_scores_gemma":[0.00050965056,0.0001123175,0.27247912,0.0000056309477,0.0000033079975,0.000032069125,0.0013439639,0.0077608684,0.000047607813,0.71733016,0.00027342743,0.00010190316],"about_ca_topic_score_codex":0.00045117966,"about_ca_topic_score_gemma":0.0032936134,"teacher_disagreement_score":0.027759828,"about_ca_system_score_codex":0.00017934214,"about_ca_system_score_gemma":0.00009714438,"threshold_uncertainty_score":0.23733832},"labels":[],"label_agreement":null},{"id":"W1437000020","doi":"10.1016/j.jeca.2006.01.006","title":"International Analysis of Savings","year":2006,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Consolidation (business); Unison; Economics; Private sector; Unit root; Public sector; European union; Empirical evidence; Public economics; Macroeconomics; International economics; Accounting; Econometrics; Economy; Economic growth","score_opus":0.015801730980306627,"score_gpt":0.21490352804909388,"score_spread":0.19910179706878725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1437000020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8016973,0.0006243265,0.0021290944,0.0008525,0.001032343,0.000041926793,0.00007349635,0.0000060793577,0.19354293],"genre_scores_gemma":[0.99807245,0.00064582,0.00045627367,0.000052798034,0.00029596605,4.195716e-7,0.000005737089,0.000012954531,0.00045756696],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983686,0.000018091083,0.0013249668,0.00010633538,0.000029047775,0.00015294325],"domain_scores_gemma":[0.99756116,0.0002639753,0.001867576,0.00022304256,0.000050703413,0.000033541204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017969175,0.00010866839,0.0006085829,0.0010733102,0.00005762031,0.000056122717,0.00053658657,0.000056396908,0.00065136777],"category_scores_gemma":[0.000099705154,0.00009719515,0.00035976132,0.00032348844,0.00012693414,0.0003261882,0.00006112755,0.00012122912,0.000066191154],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003059029,0.00015995382,0.62764114,0.000014593172,0.004297957,0.0000029991447,0.0008098582,0.036681496,0.00006611472,0.31341183,0.011909711,0.0046984167],"study_design_scores_gemma":[0.0025832541,0.00032923752,0.4472029,0.000036793415,0.0015232146,0.00006862827,0.0011934736,0.030894406,0.0016914455,0.15394473,0.3596349,0.00089701137],"about_ca_topic_score_codex":0.0005400475,"about_ca_topic_score_gemma":0.00012015947,"teacher_disagreement_score":0.3477252,"about_ca_system_score_codex":0.00018558394,"about_ca_system_score_gemma":0.000031565094,"threshold_uncertainty_score":0.713202},"labels":[],"label_agreement":null},{"id":"W144979010","doi":"10.2139/ssrn.1787337","title":"New in Town: Demographics, Immigration, and the Price of Real Estate","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Immigration; Real estate; Proxy (statistics); Economics; Population; Demographic economics; Demographics; Variation (astronomy); Population growth; Demographic change; Econometrics; Fertility; Geography; Demography; Statistics; Finance","score_opus":0.0055112832270766176,"score_gpt":0.1873600821324513,"score_spread":0.1818487989053747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W144979010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9643975,0.00061595446,0.0026151263,0.0020822345,0.00028970215,0.000098662924,0.0000023639782,0.0000067558367,0.029891696],"genre_scores_gemma":[0.9269252,0.07222542,0.00032929803,0.00002842367,0.00013560438,0.0000014895318,0.000001019193,0.0000118121825,0.00034172664],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998633,0.00001660571,0.00050425134,0.0001425341,0.000020891714,0.0006827073],"domain_scores_gemma":[0.99937683,0.000067806366,0.00034103292,0.00014456124,0.00001873627,0.000051044255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030565937,0.000088652865,0.0002448447,0.0001828526,0.00008301585,0.00005568017,0.00018697353,0.00007143206,0.000041146108],"category_scores_gemma":[0.00007700087,0.0000771279,0.00007306596,0.00017026247,0.00008909995,0.0001819151,0.00002429437,0.0010272458,0.000006500881],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000084618485,0.000018122464,0.14223434,0.0000031162383,0.00004390654,3.8976205e-7,0.0006586397,0.00001586443,0.000021936463,0.8077588,0.000060193248,0.04910004],"study_design_scores_gemma":[0.0022750502,0.00008026111,0.029071074,0.0000055504356,0.000008724111,0.000089104746,0.0006129821,0.001484621,0.000012808798,0.95699704,0.0091811,0.0001816596],"about_ca_topic_score_codex":0.002018105,"about_ca_topic_score_gemma":0.023720136,"teacher_disagreement_score":0.14923823,"about_ca_system_score_codex":0.000084927844,"about_ca_system_score_gemma":0.00034116232,"threshold_uncertainty_score":0.99409443},"labels":[],"label_agreement":null},{"id":"W1479889722","doi":"","title":"Unsecured Credit and Self{Employment ⁄","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Bankruptcy; Debt; Liability; Limited liability; Incentive; Business; Context (archaeology); Entrepreneurship; Welfare; Liability insurance; Economics; Actuarial science; Finance; Microeconomics; Market economy","score_opus":0.0347658295963852,"score_gpt":0.2704665447158818,"score_spread":0.23570071511949658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1479889722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5244532,0.0009546157,0.000014676305,0.00047317872,0.0012096103,0.0008103146,0.00028571262,0.00011855783,0.47168013],"genre_scores_gemma":[0.9429024,0.048682995,0.002592446,0.0001593609,0.0010239885,0.0003609966,0.0002390507,0.00025094367,0.0037878577],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99511373,0.00010674511,0.0016437385,0.0017951897,0.00007997622,0.0012606089],"domain_scores_gemma":[0.9974434,0.00032472354,0.0005742675,0.0013004387,0.000057113368,0.00030007382],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0031738072,0.0005551782,0.0012627173,0.0011604816,0.00023667427,0.00051197835,0.00080215395,0.00086518517,0.00018904847],"category_scores_gemma":[0.00021025313,0.0007626633,0.00025958195,0.00015801941,0.00031856753,0.00020015221,0.0014902587,0.001746834,0.0001188188],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047353757,0.0031833635,0.48603716,0.0018610528,0.0012686446,0.00027092843,0.003991125,0.022673024,0.000020135258,0.068397805,0.009621583,0.40220162],"study_design_scores_gemma":[0.0026818477,0.00025970122,0.059757996,0.0002855174,0.000024846082,0.00002860114,0.00023315547,0.06950113,0.000033394448,0.122478224,0.742136,0.0025795887],"about_ca_topic_score_codex":0.0008997891,"about_ca_topic_score_gemma":0.00082782493,"teacher_disagreement_score":0.73251444,"about_ca_system_score_codex":0.0016393968,"about_ca_system_score_gemma":0.00025935308,"threshold_uncertainty_score":0.99948245},"labels":[],"label_agreement":null},{"id":"W1484508018","doi":"10.1111/cjag.12052","title":"Hedonic Valuation in an Urban High‐Rise Housing Market","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Utah Agricultural Experiment Station","keywords":"Apartment; Valuation (finance); Dimension (graph theory); High rise; Econometrics; Economics; Market value; Economic geography; Mathematics; Finance; Engineering; Civil engineering","score_opus":0.027205679829871408,"score_gpt":0.16533572568223506,"score_spread":0.13813004585236366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1484508018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98088616,0.00029315267,0.00006854793,0.0018642525,0.0027432032,0.00026160592,0.00012995099,0.000016310149,0.013736814],"genre_scores_gemma":[0.9968998,0.00013853185,0.0006029155,0.00044425798,0.0013738858,0.000011407119,0.000056576664,0.00006783433,0.0004048168],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99580896,0.00009861581,0.0021884246,0.00069262966,0.000010586892,0.0012007566],"domain_scores_gemma":[0.9959625,0.00013686626,0.0015820048,0.00050899683,0.00013507166,0.0016745322],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0023778502,0.000461742,0.0012246881,0.0011364347,0.00026236393,0.0004641075,0.00083949877,0.00031110927,0.00089466694],"category_scores_gemma":[0.00026189935,0.0005251259,0.00032498082,0.00025264837,0.0001382931,0.0018079672,0.000032954875,0.0004936491,0.00017035971],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018419632,0.00012608182,0.72883993,0.000113481314,0.0002788799,0.00007503935,0.0051144003,0.04111222,0.000024781382,0.20465016,0.007857091,0.011623696],"study_design_scores_gemma":[0.0033290132,0.0008992431,0.8298264,0.00015465017,0.00006179639,0.0002879794,0.0014599189,0.014694009,0.00003282595,0.077878825,0.06943188,0.0019434675],"about_ca_topic_score_codex":0.03414425,"about_ca_topic_score_gemma":0.7778538,"teacher_disagreement_score":0.7437095,"about_ca_system_score_codex":0.00375486,"about_ca_system_score_gemma":0.0005135552,"threshold_uncertainty_score":0.99972004},"labels":[],"label_agreement":null},{"id":"W1486255324","doi":"","title":"Factors Driving the Silicon Valley Housing Market in 2007","year":2007,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bust; Labour economics; Quarter (Canadian coin); Salary; Investment (military); Economics; Index (typography); Wage; Demographic economics; Business; Market economy; Boom; Geography","score_opus":0.02450165169417376,"score_gpt":0.20269732800246404,"score_spread":0.17819567630829028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1486255324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7076455,0.00021202919,0.00028297812,0.00031845827,0.00037584457,0.00018271386,0.0002625088,0.0001316995,0.2905883],"genre_scores_gemma":[0.9977636,0.00007388557,0.0001563884,0.00037916235,0.00023964039,0.000005127718,0.0000931325,0.00011122789,0.0011778419],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974166,0.000030808784,0.0010632355,0.000580066,0.00006916974,0.0008401234],"domain_scores_gemma":[0.9984316,0.00046567825,0.0003397562,0.00051433285,0.0000103761895,0.00023821824],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014071885,0.00035206068,0.00047443146,0.0004213904,0.00021057094,0.0013771179,0.0006343618,0.0002259796,0.0016759783],"category_scores_gemma":[0.00047388065,0.00032327793,0.00023360463,0.0005132115,0.00012348985,0.0029861378,0.0002615059,0.0005926555,0.001586848],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000396749,0.00008259021,0.98986673,0.000015429416,0.000021787087,0.000013000733,0.000058114132,0.00001839287,0.0000027620292,0.0040463386,0.0018552596,0.003979894],"study_design_scores_gemma":[0.00056028925,0.000035094712,0.5874994,0.000058347123,0.000004602514,0.0000036616036,0.00018568366,0.0006725858,0.00015283164,0.02966711,0.38045493,0.00070549065],"about_ca_topic_score_codex":0.000023371036,"about_ca_topic_score_gemma":0.000040700535,"teacher_disagreement_score":0.40236738,"about_ca_system_score_codex":0.00014595367,"about_ca_system_score_gemma":0.00003699652,"threshold_uncertainty_score":0.9999219},"labels":[],"label_agreement":null},{"id":"W1487047816","doi":"10.1108/17506200810861221","title":"Communities of disentrepreneurship","year":2008,"lang":"en","type":"article","venue":"Journal of Enterprising Communities People and Places in the Global Economy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Originality; Value (mathematics); Continuation; Public relations; Political science; Sociology; Computer science; Social science","score_opus":0.03249021941478362,"score_gpt":0.22665863681022366,"score_spread":0.19416841739544005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1487047816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9158851,0.0014983622,0.00015978843,0.00039723451,0.00025032694,0.000060253486,0.0000355634,0.000004345592,0.081709035],"genre_scores_gemma":[0.9955858,0.0038392867,0.00020418088,0.00027962515,0.000058446094,0.0000016247403,0.0000056342865,0.000008229337,0.000017199465],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99860805,0.00014991385,0.0009529359,0.000061988685,0.000030018378,0.00019709466],"domain_scores_gemma":[0.99820197,0.00054493133,0.00082155544,0.00034970627,0.000037018963,0.000044810484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011453993,0.00014364497,0.0005618201,0.00018907087,0.00019399256,0.000089835536,0.0006718842,0.000063248655,0.000069689675],"category_scores_gemma":[0.000035405774,0.0001338667,0.00013895269,0.00012657755,0.00025868617,0.00042801572,0.00013383752,0.00028993163,0.0000050460358],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000100283476,0.00010222822,0.9651144,0.000041842737,0.000051149284,0.000005249341,0.024427325,0.0003004214,1.0820107e-7,0.0092501445,0.00026545327,0.00034139684],"study_design_scores_gemma":[0.0050663636,0.0010193789,0.5204022,0.0007293959,0.00008354791,0.0031054574,0.1927243,0.005860239,0.00002060111,0.22176439,0.048083745,0.0011404022],"about_ca_topic_score_codex":0.002080735,"about_ca_topic_score_gemma":0.0021354402,"teacher_disagreement_score":0.4447122,"about_ca_system_score_codex":0.000087769244,"about_ca_system_score_gemma":0.00003599228,"threshold_uncertainty_score":0.5458926},"labels":[],"label_agreement":null},{"id":"W1487824577","doi":"10.1080/10835547.2002.12091072","title":"Landscaping and House Values: An Empirical Investigation","year":2002,"lang":"en","type":"article","venue":"Journal of Real Estate Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":174,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Landscaping; Real estate; Valuation (finance); Lawn; Residential real estate; Market value; Hedge; Price premium; Property value; Differential (mechanical device); Business; Agricultural economics; Actuarial science; Economics; Willingness to pay; Finance; Engineering; Microeconomics","score_opus":0.2146688894186282,"score_gpt":0.3542468610843874,"score_spread":0.13957797166575922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1487824577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9616861,0.00020202546,0.00006063028,0.000925851,0.000111455054,0.000052711035,0.0000036140204,0.000012954946,0.03694469],"genre_scores_gemma":[0.9638226,0.03479967,0.0008755009,0.000038032344,0.00025665658,0.0000011371391,9.716206e-7,0.00002863273,0.00017679323],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99881357,0.000094578216,0.0005490326,0.00016890083,0.00008198565,0.00029191043],"domain_scores_gemma":[0.9990624,0.00017335048,0.00025040665,0.0001479712,0.00010540395,0.00026044366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034472246,0.00007692712,0.0002688129,0.0004892547,0.00014210196,0.00018379319,0.00016493439,0.000077182485,0.000092014394],"category_scores_gemma":[0.00025773604,0.00007777483,0.000049892245,0.00020987561,0.00012689603,0.0005564778,0.000044661432,0.0003977038,0.0000861388],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013615657,0.00022320331,0.8319774,0.000116195246,0.00008318947,0.00012286336,0.015076101,0.00033005222,0.00013239523,0.002169516,0.0105214,0.1391115],"study_design_scores_gemma":[0.006923593,0.0049489294,0.34833977,0.00034901215,0.00003533504,0.00089836476,0.005106533,0.3021449,0.00038872956,0.20183437,0.12751617,0.0015143093],"about_ca_topic_score_codex":0.00017973049,"about_ca_topic_score_gemma":0.000031600986,"teacher_disagreement_score":0.48363766,"about_ca_system_score_codex":0.00011570628,"about_ca_system_score_gemma":0.000029555964,"threshold_uncertainty_score":0.31715652},"labels":[],"label_agreement":null},{"id":"W1487946699","doi":"","title":"Estimating the Value of Statistical Life in Pakistan","year":2011,"lang":"en","type":"article","venue":"OpenDocs (Institute of Development Studies)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre; International Centre for Integrated Mountain Development; Direktoratet for Utviklingssamarbeid; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Value (mathematics); Statistics; Econometrics; Mathematics","score_opus":0.07877115158889063,"score_gpt":0.290752745353156,"score_spread":0.21198159376426534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1487946699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7873665,0.0009189844,0.012185479,0.0001613748,0.0016540278,0.00050613325,0.000042005206,0.000018305183,0.1971472],"genre_scores_gemma":[0.89513814,0.00022155084,0.104427956,0.00006315987,0.000019120764,0.000024690886,0.0000064955443,0.000013604746,0.000085296284],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99811405,0.000013600402,0.001293843,0.00027275633,0.000044621254,0.00026115353],"domain_scores_gemma":[0.9990782,0.00007394465,0.0005152258,0.00024485606,0.000036702808,0.000051063893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011113412,0.00015287199,0.00061658956,0.0001282675,0.000115738,0.000012669029,0.0003154149,0.000040189196,0.00012895065],"category_scores_gemma":[0.00027063015,0.0001391438,0.00004457711,0.0001786926,0.0002323155,0.00018839742,0.00021263887,0.000106089065,0.000058034897],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001131043,0.00033187694,0.27751222,0.00036027387,0.00049996027,0.000024542613,0.01706663,0.0016332692,0.000004726857,0.6893091,0.00095981994,0.01218446],"study_design_scores_gemma":[0.0067032315,0.00030415205,0.7455487,0.0008888935,0.000081340775,0.000018510842,0.005254697,0.019251252,0.0010034184,0.10365249,0.1150817,0.002211563],"about_ca_topic_score_codex":0.0004307461,"about_ca_topic_score_gemma":0.00027277024,"teacher_disagreement_score":0.58565664,"about_ca_system_score_codex":0.00011343582,"about_ca_system_score_gemma":0.0001380831,"threshold_uncertainty_score":0.5674119},"labels":[],"label_agreement":null},{"id":"W1487956133","doi":"","title":"A Structural Model for Net Rental Income in the U.S. Leasing Industry","year":2007,"lang":"en","type":"article","venue":"EERS. Estudios económicos regionales y sectoriales","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Apartment; Renting; Liberian dollar; Lease; Net income; Real estate; Business; Investment (military); Real estate investment trust; Finance; Quarter (Canadian coin); Economics; Agricultural economics; Geography","score_opus":0.06600269946279756,"score_gpt":0.2572738338914516,"score_spread":0.191271134428654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1487956133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893107,0.0007476224,0.0014695292,0.0007594629,0.002079911,0.0006332884,0.00009716248,0.000050298186,0.00485206],"genre_scores_gemma":[0.99631625,0.00014517888,0.0009816189,0.0003886261,0.001853307,0.000049548187,0.000057112058,0.00005471689,0.0001536358],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977419,0.000028652663,0.0009333483,0.00058040494,0.000069124,0.00064662046],"domain_scores_gemma":[0.9985813,0.00046452758,0.0004266104,0.00039889186,0.00003394867,0.0000947226],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017576504,0.00031408464,0.0005644418,0.0003375847,0.00027786367,0.00014103495,0.00053717796,0.0003871387,0.000034468965],"category_scores_gemma":[0.00021932113,0.0003111179,0.00023842773,0.00024034575,0.00016169813,0.00033329235,0.000079188794,0.0005015442,0.000038711714],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005774781,0.00019366136,0.65289956,0.00014347029,0.0002205714,0.000028132865,0.0077626784,0.008501625,0.000047439487,0.32153556,0.005984619,0.002105204],"study_design_scores_gemma":[0.010941532,0.00039850108,0.37250128,0.00025317358,0.00008354993,0.00023943224,0.004658333,0.25326824,0.000103827624,0.26830992,0.0857342,0.0035080095],"about_ca_topic_score_codex":0.00012699609,"about_ca_topic_score_gemma":0.0013859991,"teacher_disagreement_score":0.28039828,"about_ca_system_score_codex":0.00042251512,"about_ca_system_score_gemma":0.000075138116,"threshold_uncertainty_score":0.9999341},"labels":[],"label_agreement":null},{"id":"W1488156890","doi":"10.3968/6167","title":"Analysis on Influencing Factors on the Fluctuation of Commercial Housing Prices Based on ECM Model: Taking Changsha as an Example","year":2014,"lang":"en","type":"article","venue":"Advances in natural science/Advances in natural sciences","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Investment (military); Real estate; Per capita; Error correction model; Term (time); Urbanization; Economics; Agricultural economics; Econometrics; Finance; Economic growth; Cointegration","score_opus":0.036404237164881746,"score_gpt":0.2902865546328907,"score_spread":0.253882317468009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1488156890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97738993,0.00095961586,0.0003379209,0.00026904483,0.0011418967,0.0003060786,0.000010055987,0.00003879333,0.019546667],"genre_scores_gemma":[0.9972197,0.00039031997,0.0016357831,0.0006231996,0.00008721391,0.000014897592,0.000008140706,0.000013954555,0.000006788378],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965064,0.00008631167,0.0008931335,0.001220294,0.00046376453,0.00083009206],"domain_scores_gemma":[0.99706465,0.0011394498,0.0011082595,0.0005171515,0.00006989463,0.0001005791],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0043499484,0.0003618698,0.0006622953,0.0019584298,0.00084094104,0.00028489163,0.0016397702,0.0001032344,0.000039266884],"category_scores_gemma":[0.0014782654,0.00026721315,0.00015411581,0.0052776886,0.0012747026,0.004139296,0.00011784075,0.00054932316,0.00000883923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009028288,0.00008587441,0.09443027,0.000015183889,0.000005740579,6.2520127e-7,0.0010058293,0.7803672,0.00010259767,0.07934183,8.451109e-7,0.044553716],"study_design_scores_gemma":[0.0003554783,0.0003756185,0.05296714,0.00012335264,0.000008611674,2.989399e-7,0.0005769747,0.9092128,0.0012014755,0.03417165,0.00049457926,0.00051198533],"about_ca_topic_score_codex":0.0009007208,"about_ca_topic_score_gemma":0.0042732386,"teacher_disagreement_score":0.12884563,"about_ca_system_score_codex":0.00051861606,"about_ca_system_score_gemma":0.00010749402,"threshold_uncertainty_score":0.999978},"labels":[],"label_agreement":null},{"id":"W1491544437","doi":"","title":"The reaction speeds of prices and transaction volume in the Finnish housing market to demand shocks","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Shock (circulatory); Predictive power; Demand shock; Monetary economics; Database transaction; Quarter (Canadian coin); Econometrics; Transaction data; Volume (thermodynamics)","score_opus":0.03207142026359451,"score_gpt":0.27241125929889043,"score_spread":0.24033983903529593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1491544437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8054901,0.0004221084,0.000058176,0.0017927627,0.00044356802,0.0009137772,0.00004713951,0.000015662361,0.19081675],"genre_scores_gemma":[0.96687496,0.03176748,0.0003757045,0.00012517736,0.00018296052,0.000085749816,0.000012554151,0.000047769634,0.0005276255],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99687576,0.00019107241,0.0013107088,0.00084019924,0.000083279876,0.0006989767],"domain_scores_gemma":[0.9978031,0.00066221785,0.00050073874,0.0008843155,0.000045923498,0.00010371775],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008487395,0.00030013538,0.0007028394,0.00075179135,0.00028391217,0.000417362,0.00074986485,0.00042322348,0.00003802057],"category_scores_gemma":[0.00035855884,0.00028766785,0.00015955731,0.0002673199,0.0002358942,0.00021741637,0.00023616917,0.0013033685,0.000009027254],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001006479,0.00043243103,0.114702515,0.0004513786,0.0001950684,0.000021086982,0.005181702,0.014037096,0.000071100694,0.004339635,0.0007850021,0.8587765],"study_design_scores_gemma":[0.0017582743,0.0004623137,0.65885484,0.0005392981,0.000028622242,0.000031036892,0.003787432,0.07560934,0.000081315564,0.0619828,0.19536072,0.0015039976],"about_ca_topic_score_codex":0.0005221622,"about_ca_topic_score_gemma":0.002358347,"teacher_disagreement_score":0.8572725,"about_ca_system_score_codex":0.00072618714,"about_ca_system_score_gemma":0.00013050434,"threshold_uncertainty_score":0.99995756},"labels":[],"label_agreement":null},{"id":"W1492261247","doi":"","title":"The Effects of Price Uncertainty on Housing Demand: Empirical Evidence from U.S. Markets","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Incentive; Hedge; Economics; Empirical evidence; Monetary economics; Microeconomics","score_opus":0.016991048104490425,"score_gpt":0.2356943166379418,"score_spread":0.21870326853345137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1492261247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98805106,0.0031970455,0.0021011871,0.0009984482,0.0015098165,0.00013869426,0.0000043351106,0.000019340314,0.0039800736],"genre_scores_gemma":[0.9839326,0.015140869,0.00013453512,0.00012211417,0.00043545107,0.000004755695,0.0000011699058,0.000030794392,0.00019769106],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99752706,0.00006446129,0.0006324737,0.00030773907,0.00006601582,0.0014022245],"domain_scores_gemma":[0.9974677,0.0014043845,0.0005997206,0.00038934874,0.00003918146,0.00009966392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037292647,0.00018429178,0.00036048095,0.000118428274,0.00039140813,0.00013991378,0.00052840135,0.00014415389,0.0000490014],"category_scores_gemma":[0.0014347704,0.0001542717,0.00019208108,0.00014730079,0.00010854598,0.00022125278,0.000060904535,0.0019359719,0.00008977403],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018597548,0.00055194745,0.44490236,0.000109702356,0.0012135736,0.00002278527,0.0016946078,0.0006007618,0.002934513,0.34428573,0.0022888482,0.19953543],"study_design_scores_gemma":[0.0016413433,0.0006938068,0.062939785,0.0001933704,0.000049299644,0.00006872472,0.00027515073,0.004320862,0.0008114318,0.9086063,0.019717317,0.00068263157],"about_ca_topic_score_codex":0.00019591076,"about_ca_topic_score_gemma":0.0011281199,"teacher_disagreement_score":0.56432056,"about_ca_system_score_codex":0.00048630842,"about_ca_system_score_gemma":0.00046604752,"threshold_uncertainty_score":0.8410942},"labels":[],"label_agreement":null},{"id":"W1493455328","doi":"","title":"Can the Inclusion of Calendar and Temperature Effects Improve Nowcasts and Forecasts of Construction Sector Output Based on Business Surveys","year":2010,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nowcasting; Production (economics); Industrial production; Work (physics); Index (typography); Econometrics; Secondary sector of the economy; Quarter (Canadian coin); Cover (algebra); Business cycle; Economics; Business; Computer science; Geography; Meteorology; Engineering; Economy; Macroeconomics","score_opus":0.010630051718756911,"score_gpt":0.19288549641507588,"score_spread":0.18225544469631896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1493455328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98632693,0.00068952766,0.0001729014,0.00050527457,0.0055392347,0.00094096526,0.003124874,0.000040028837,0.0026602554],"genre_scores_gemma":[0.9980248,0.0004187138,0.0007966936,0.000108835746,0.00033161216,0.00004689684,0.00008890697,0.00008259385,0.00010094511],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99699247,0.0001812802,0.001269226,0.0010402271,0.000087581815,0.0004291993],"domain_scores_gemma":[0.9961977,0.00071011495,0.0017574137,0.0009592933,0.00018764293,0.00018783782],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002288538,0.0006218007,0.0015257831,0.0006146996,0.00036585022,0.00008685733,0.00041327687,0.0009951973,0.00010940545],"category_scores_gemma":[0.0005117128,0.00055740733,0.00023355732,0.00019019538,0.0010704005,0.00014521909,0.00092652853,0.0011477858,0.000007441895],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017158722,0.00018217995,0.97577924,0.0020137548,0.0002246478,0.0000080012915,0.0010174747,0.00026961794,0.0007343155,0.0019292969,0.0003568548,0.017313043],"study_design_scores_gemma":[0.0039443956,0.00044123674,0.9622,0.0010006751,0.00015953075,0.00007913844,0.00011404062,0.01427482,0.0037783692,0.009787037,0.0023547616,0.0018660332],"about_ca_topic_score_codex":0.0010151102,"about_ca_topic_score_gemma":0.0014071149,"teacher_disagreement_score":0.015447008,"about_ca_system_score_codex":0.00022111968,"about_ca_system_score_gemma":0.00040080666,"threshold_uncertainty_score":0.99968773},"labels":[],"label_agreement":null},{"id":"W1494409795","doi":"","title":"BUBBLE IN THE INDIAN REAL ESTATE MARKETS: IDENTIFICATION USING REGIME-SWITCHING METHODOLOGY","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Real estate; Economic bubble; Economics; Bubble; Economy; Financial economics; Monetary economics; Business; Finance","score_opus":0.06056485904115047,"score_gpt":0.27918998711574095,"score_spread":0.21862512807459047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1494409795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9662103,0.0007580499,0.01693789,0.0005308142,0.0006558996,0.000121536534,0.0000026841183,0.00001349937,0.0147693055],"genre_scores_gemma":[0.98423153,0.014134029,0.0009301283,0.00008799562,0.00042401714,0.00000500812,0.00000408364,0.000030069623,0.0001531501],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968503,0.00024485047,0.00072734535,0.00021469321,0.00003841849,0.0019244091],"domain_scores_gemma":[0.9988923,0.00016979323,0.00058821664,0.00026874623,0.000015156338,0.00006578016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018822068,0.00014499789,0.00029124029,0.0003498201,0.00026447792,0.00014160306,0.0003843614,0.0001169129,0.0000376329],"category_scores_gemma":[0.00020643434,0.00014104089,0.00010600649,0.00025451215,0.000031441825,0.0006702287,0.00003499074,0.0012539634,0.00008841857],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017267164,0.00022758447,0.34489724,0.000026997664,0.00021295245,0.000008368075,0.017516403,0.0003664905,0.00031467492,0.5013483,0.00010342149,0.1348049],"study_design_scores_gemma":[0.0013621016,0.00010314998,0.06865673,0.000026970476,0.000042248594,0.0014711729,0.017317025,0.0042342064,0.000049066202,0.8941312,0.011854314,0.00075185375],"about_ca_topic_score_codex":0.0011255789,"about_ca_topic_score_gemma":0.0012149279,"teacher_disagreement_score":0.39278287,"about_ca_system_score_codex":0.0011331424,"about_ca_system_score_gemma":0.0002503828,"threshold_uncertainty_score":0.6523391},"labels":[],"label_agreement":null},{"id":"W1494879376","doi":"10.1787/5k9d192klphd-en","title":"Do House Prices Impact Consumption and Interest Rate?","year":2012,"lang":"en","type":"paratext","venue":"OECD Economics Department working papers","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"House price; Economics; Shock (circulatory); Consumption (sociology); Interest rate; Private consumption; Monetary economics; Nominal interest rate; Demand shock; Vector autoregression; Investment (military); Macroeconomics; Real interest rate; Fiscal policy","score_opus":0.06003678537180424,"score_gpt":0.2560000753665944,"score_spread":0.19596328999479018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1494879376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54999006,0.01209056,0.000021116846,0.00014560769,0.009612837,0.0007531261,0.0006009631,0.0001343763,0.42665136],"genre_scores_gemma":[0.9186411,0.069913656,0.00029003475,0.00035393485,0.001988041,0.0001252051,0.0006565004,0.00037798847,0.0076535605],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9959724,0.000054210723,0.0014842779,0.0013202869,0.000025671849,0.0011431703],"domain_scores_gemma":[0.9967964,0.0002495156,0.0016295407,0.0008566081,0.000011784205,0.00045609794],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012576081,0.0009273081,0.0015496509,0.00057323393,0.00032516138,0.00094950874,0.0005026992,0.00076819974,0.0077639776],"category_scores_gemma":[0.000021051637,0.0011165058,0.0004729136,0.00007211256,0.00021390693,0.00038372027,0.00031976873,0.0006163042,0.03262883],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011885215,0.0012007973,0.57457674,0.0015612559,0.0072123334,0.00003334267,0.0022146828,0.0036962896,0.000055529796,0.05443412,0.29428923,0.059537176],"study_design_scores_gemma":[0.00090265326,0.00009385869,0.005165026,0.00011612171,0.000077792356,0.000021794518,0.00003567248,0.00022443483,0.000020847934,0.00059291,0.9913423,0.0014065988],"about_ca_topic_score_codex":0.00007644994,"about_ca_topic_score_gemma":0.0001424749,"teacher_disagreement_score":0.6970531,"about_ca_system_score_codex":0.0012474813,"about_ca_system_score_gemma":0.00007718692,"threshold_uncertainty_score":0.9991285},"labels":[],"label_agreement":null},{"id":"W1495363364","doi":"10.1111/j.1540-6229.2010.00284.x","title":"Subprime Lending and Real Estate Prices","year":2010,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":141,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Economics; Real estate; Context (archaeology); Constraint (computer-aided design); Monetary economics; Asset (computer security); Deregulation; Finance; Macroeconomics","score_opus":0.017457627319494167,"score_gpt":0.20966678242762388,"score_spread":0.19220915510812972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1495363364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5989839,0.0000074701234,0.000030349278,0.00015950244,0.0008194953,0.00012228246,0.00008690306,0.000078197656,0.3997119],"genre_scores_gemma":[0.8897541,0.10562207,0.0034390115,0.000065043176,0.0003867309,0.000018445384,0.000058207646,0.00011101434,0.00054535875],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976462,0.0000108754475,0.0009164359,0.0007613032,0.000017147782,0.0006480014],"domain_scores_gemma":[0.998452,0.00014234238,0.00057126436,0.00051966246,0.000020617827,0.000294079],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00092746515,0.00032994902,0.00063727045,0.00029636335,0.00023989465,0.00035448108,0.00031978762,0.00022658477,0.00021883406],"category_scores_gemma":[0.000051816045,0.00042943563,0.00012572082,0.00010080842,0.000190096,0.0007469041,0.00016425784,0.00037844016,0.0005396732],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015717067,0.00016942272,0.32415548,0.00013531769,0.00019466196,0.00002655052,0.0039721783,0.0003910743,0.00040342423,0.2137816,0.00044877804,0.45616433],"study_design_scores_gemma":[0.0035933575,0.00032814467,0.2215435,0.000029768074,0.00006161386,0.00015692755,0.0009173087,0.05755802,0.00064850744,0.054640926,0.6571227,0.0033992422],"about_ca_topic_score_codex":0.005133549,"about_ca_topic_score_gemma":0.0032453886,"teacher_disagreement_score":0.6566739,"about_ca_system_score_codex":0.00015103487,"about_ca_system_score_gemma":0.00006584789,"threshold_uncertainty_score":0.99981576},"labels":[],"label_agreement":null},{"id":"W1496298053","doi":"","title":"A Reconciliation between the Consumer Price Index and the Personal Consumption Expenditures Price Index","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Producer price index; Economics; Consumer price index (South Africa); Price index; Personal consumption expenditures price index; Consumption (sociology); Econometrics; Quarter (Canadian coin); Wholesale price index; Price level; Percentage point; Goods and services; Relative price; Consumer confidence index; Microeconomics; Monetary economics; Macroeconomics; Mid price; Economy; Monetary policy; Finance","score_opus":0.05900470265232846,"score_gpt":0.3000596590259605,"score_spread":0.24105495637363203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1496298053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83798015,0.002366574,0.00021038919,0.0020810307,0.0010875266,0.002139493,0.00025299564,0.000063141255,0.15381871],"genre_scores_gemma":[0.9661922,0.031164967,0.000109978464,0.00035440782,0.0006862103,0.00029492017,0.0000904759,0.000096678814,0.0010101757],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9951773,0.0003568542,0.0017467326,0.0014175248,0.0001571534,0.0011444008],"domain_scores_gemma":[0.99454993,0.0028681129,0.0011080782,0.0011539537,0.00008999223,0.0002299345],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.011750598,0.0005382397,0.0011641826,0.0008297742,0.0006403074,0.000692962,0.0010635185,0.000937017,0.00035698529],"category_scores_gemma":[0.00093016075,0.00047496083,0.000305208,0.0001639141,0.0015240147,0.00028221693,0.001204212,0.0030870491,0.0001046551],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008481029,0.0001269094,0.88365865,0.00033195748,0.00056939677,0.000011052621,0.0043306123,0.0011278575,0.0000015663198,0.008529636,0.0006067449,0.09985749],"study_design_scores_gemma":[0.0070811072,0.000106487074,0.6338859,0.00029950068,0.000052679705,0.000044642966,0.0022038892,0.08590855,0.000017982697,0.050650638,0.21778296,0.0019656213],"about_ca_topic_score_codex":0.00070751173,"about_ca_topic_score_gemma":0.0006061078,"teacher_disagreement_score":0.24977274,"about_ca_system_score_codex":0.0014075022,"about_ca_system_score_gemma":0.0003260483,"threshold_uncertainty_score":0.9997702},"labels":[],"label_agreement":null},{"id":"W1497062378","doi":"","title":"Half a Loaf. Are New Urban \"Hybrids\" a Marketable Option?","year":2009,"lang":"en","type":"article","venue":"Theoretical and Empirical Researches in Urban Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Urbanism; New Urbanism; Homogeneous; Urban planning; Sociology; Political science; Geography; Architecture; Archaeology; Civil engineering; Engineering","score_opus":0.049144117674096266,"score_gpt":0.28739215074991475,"score_spread":0.2382480330758185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1497062378","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1455752,0.0012651217,0.004324595,0.030649869,0.00014690697,0.00060057547,0.000013905396,0.00009233608,0.8173315],"genre_scores_gemma":[0.98835796,0.0013546254,0.0014802658,0.0013712936,0.0001741059,0.000017440727,0.000007386448,0.000023775094,0.007213172],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977946,0.00007074483,0.00059082394,0.00066609227,0.0001032236,0.0007745003],"domain_scores_gemma":[0.99879175,0.00017188737,0.00009028767,0.0004347439,0.000015497008,0.00049581553],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017847688,0.00022411259,0.00047940624,0.0003741357,0.00011687683,0.00024151013,0.00037898947,0.0001181085,0.0010269976],"category_scores_gemma":[0.00039857556,0.00022941422,0.00010330788,0.00038435656,0.00036476704,0.00018397957,0.00027286046,0.0003625365,0.00044541818],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022558402,0.00018797813,0.035470217,0.0000467974,0.000028400735,0.000046630215,0.00019232718,0.000016743375,5.701806e-7,0.9167338,0.035072166,0.011978774],"study_design_scores_gemma":[0.00089619105,0.00015357877,0.05245062,0.00005487211,0.000007480323,0.0000028941502,0.00009494443,0.0076241223,0.000004976686,0.812064,0.12632395,0.00032235848],"about_ca_topic_score_codex":0.000046996487,"about_ca_topic_score_gemma":0.000008233862,"teacher_disagreement_score":0.84278274,"about_ca_system_score_codex":0.00020781487,"about_ca_system_score_gemma":0.000025029298,"threshold_uncertainty_score":0.9998862},"labels":[],"label_agreement":null},{"id":"W1497457939","doi":"","title":"The Property Rights Battle in Oregon: The Influence of Ballot Titles on Voter Opinion","year":2010,"lang":"en","type":"article","venue":"Sound Ideas (University of Puget Sound)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ballot; Battle; Political science; Public opinion; Property (philosophy); Voting; Secret ballot; Law and economics; Property rights; Law; Public administration; Economics; Geography; Politics; Philosophy","score_opus":0.015411103630462147,"score_gpt":0.19030870826483404,"score_spread":0.1748976046343719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1497457939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96791375,0.000038676062,0.00009602319,0.0006411737,0.00043776506,0.00012587481,0.000021674367,0.000010745577,0.030714327],"genre_scores_gemma":[0.99861425,0.000098800825,0.00009672237,0.000032102776,0.0000472159,4.4044748e-7,0.000003657089,0.000008457499,0.0010983507],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993225,0.000021165326,0.00022371419,0.00020725565,0.000039988172,0.00018540856],"domain_scores_gemma":[0.9991247,0.00016931539,0.00024992548,0.0003827273,0.000036593774,0.00003673937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057411136,0.00009910933,0.00021400566,0.0001058084,0.00027467322,0.00003938698,0.00048538882,0.000096330645,0.00017381372],"category_scores_gemma":[0.000082231585,0.00007207924,0.00009241429,0.00014192893,0.00035982134,0.0002127087,0.000093346265,0.00021706759,0.00020162066],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069054244,0.000054977914,0.046756305,0.000017283186,0.000027747805,9.233389e-7,0.0009371241,0.00031217924,0.000009035302,0.950935,0.0007425904,0.00013775978],"study_design_scores_gemma":[0.00033656767,0.00004247875,0.060258783,0.000013052246,0.0000031870773,0.0000015304754,0.00024223245,0.00062528945,0.000001614593,0.9100441,0.028315278,0.00011591898],"about_ca_topic_score_codex":0.0018594255,"about_ca_topic_score_gemma":0.006417154,"teacher_disagreement_score":0.04089095,"about_ca_system_score_codex":0.00005017885,"about_ca_system_score_gemma":0.000025502522,"threshold_uncertainty_score":0.35809225},"labels":[],"label_agreement":null},{"id":"W1497950018","doi":"10.22004/ag.econ.18812","title":"DOES PROXIMITY TO A GOLF COURSE MATTER?","year":2003,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mile; Quarter (Canadian coin); Value (mathematics); Space (punctuation); Course (navigation); Geography; Agricultural economics; Property value; Living space; Statistics; Mathematics; Demographic economics; Business; Engineering; Economics; Archaeology; Computer science","score_opus":0.034944339309138976,"score_gpt":0.2215158665483611,"score_spread":0.18657152723922213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1497950018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8871189,0.000101019024,0.0017082753,0.003735073,0.0010367531,0.0007099078,0.0007847476,0.00003926629,0.104766056],"genre_scores_gemma":[0.9683662,0.001000974,0.0059342002,0.0003385148,0.00013673284,0.00000421256,0.00009067152,0.00007535958,0.024053147],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99756867,0.000077917095,0.0005166796,0.0010913638,0.00008715934,0.0006581968],"domain_scores_gemma":[0.99786186,0.000084732346,0.0004987572,0.0010839954,0.0001144167,0.0003562544],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012598704,0.0003670718,0.0010450116,0.0005332434,0.00022544636,0.00010866154,0.0010523638,0.00045752784,0.007088245],"category_scores_gemma":[0.00004504522,0.0004497604,0.00038014067,0.00024392016,0.00023630587,0.0003785189,0.0010344214,0.0006547193,0.0050382265],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055146666,0.0015293525,0.8160145,0.0025753262,0.0013738502,0.00028898573,0.014995512,0.0017289228,0.00009763228,0.027722238,0.11329621,0.019825963],"study_design_scores_gemma":[0.0037329784,0.00044378825,0.4621829,0.00054341106,0.00020631743,0.000021178894,0.005406224,0.0051263627,0.00023965567,0.036429323,0.48146775,0.004200082],"about_ca_topic_score_codex":0.0029855645,"about_ca_topic_score_gemma":0.0016017603,"teacher_disagreement_score":0.36817154,"about_ca_system_score_codex":0.00033479268,"about_ca_system_score_gemma":0.0001740666,"threshold_uncertainty_score":0.99979544},"labels":[],"label_agreement":null},{"id":"W1498116718","doi":"","title":"Which House Price","year":2005,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"House price; Judgement; Price index; Econometrics; Index (typography); Economics; Lag; Measure (data warehouse); Composite index; Actuarial science; Computer science; Composite indicator; Data mining","score_opus":0.046224127551273364,"score_gpt":0.2839460442527523,"score_spread":0.23772191670147896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1498116718","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26238838,0.00043312434,0.000020631069,0.001159052,0.001352161,0.0007885264,0.00017892788,0.00018954936,0.73348963],"genre_scores_gemma":[0.95048594,0.04013055,0.0019404247,0.00022677268,0.0013342347,0.0003135609,0.00008428521,0.00038055825,0.0051036775],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9937014,0.00013465805,0.0021088314,0.0021732207,0.00009934847,0.0017825642],"domain_scores_gemma":[0.9959635,0.00044319907,0.00079351664,0.0022570293,0.00012433746,0.00041841686],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0050263945,0.0006566588,0.0015261259,0.0016083587,0.00026821173,0.0005705089,0.0017056917,0.0011876691,0.0009307827],"category_scores_gemma":[0.0009307932,0.0009201276,0.00038666633,0.00037459988,0.00027236986,0.00033960762,0.0019494862,0.0031381978,0.00117856],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006783197,0.002429639,0.22470804,0.0014150916,0.0010766841,0.00011366562,0.0047713793,0.11912738,0.00003300053,0.07120665,0.0044676852,0.56997246],"study_design_scores_gemma":[0.002501118,0.00018887542,0.033207674,0.0003652037,0.000016637909,0.000030320634,0.00047280014,0.08889977,0.000060557257,0.06097334,0.81000495,0.0032787537],"about_ca_topic_score_codex":0.00032537404,"about_ca_topic_score_gemma":0.0016797568,"teacher_disagreement_score":0.8055373,"about_ca_system_score_codex":0.0027489602,"about_ca_system_score_gemma":0.00053424964,"threshold_uncertainty_score":0.9999825},"labels":[],"label_agreement":null},{"id":"W1498185411","doi":"10.1080/10835547.2012.12091832","title":"Sustainability and Income-Producing Property Valuation: North American Status and Recommended Procedures","year":2012,"lang":"en","type":"article","venue":"Journal of Sustainable Real Estate","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Valuation (finance); Income approach; Real estate; Sustainability; Actuarial science; Business; Environmental economics; Accounting; Economics; Finance","score_opus":0.020506938169519352,"score_gpt":0.24121077981010436,"score_spread":0.220703841640585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1498185411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914301,0.0003310444,0.00010652889,0.0011136266,0.00011781991,0.00028936568,0.0000055411065,0.0000148982845,0.006591095],"genre_scores_gemma":[0.9862733,0.012150178,0.00086527213,0.000047235393,0.00017974533,0.000008126216,0.000002232245,0.000027787104,0.00044613535],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980931,0.000057674028,0.0008357418,0.00024681125,0.000053015305,0.00071365695],"domain_scores_gemma":[0.9980659,0.00009254024,0.0009878854,0.00019176061,0.0003243332,0.00033760778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024698477,0.0001826622,0.00054937764,0.0003274889,0.00021471857,0.00015823904,0.00010518904,0.000041408333,0.000012885181],"category_scores_gemma":[0.0009905678,0.00015503724,0.00005910137,0.00031276583,0.00015102807,0.0012562525,0.000116920426,0.00023880236,0.000002295147],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016476399,0.000092755276,0.9374817,0.0003849094,0.000051508883,0.000013674152,0.005375103,0.00012401116,6.1944513e-7,0.0019581313,0.00011092849,0.054241884],"study_design_scores_gemma":[0.0007847794,0.0003590496,0.951135,0.000015872572,0.00002680228,0.000072340044,0.01153323,0.00046440068,0.0000062466615,0.010058127,0.025228154,0.00031602103],"about_ca_topic_score_codex":0.003010908,"about_ca_topic_score_gemma":0.00019245928,"teacher_disagreement_score":0.053925864,"about_ca_system_score_codex":0.0006680778,"about_ca_system_score_gemma":0.00026905912,"threshold_uncertainty_score":0.63222355},"labels":[],"label_agreement":null},{"id":"W1498266545","doi":"","title":"Long run relationships between City office rents and the economy in the UK: creating a database for research","year":2007,"lang":"en","type":"preprint","venue":"CentAUR (University of Reading)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Real Estate Foundation of British Columbia; University of Reading","keywords":"Economic rent; Renting; Real estate; Stock (firearms); Database; Finance; Business; Index (typography); Investment (military); Economics; Economy; Engineering; Market economy; Political science; Computer science","score_opus":0.17936333230657753,"score_gpt":0.2947536484285094,"score_spread":0.11539031612193185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1498266545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9000353,0.00029137774,0.0052055866,0.00086797704,0.00014428594,0.000980713,0.00032870832,0.000012987291,0.09213304],"genre_scores_gemma":[0.9972031,0.0005965269,0.0012734546,0.000026535059,0.000120222496,0.0000030669544,0.00025741107,0.000016812888,0.00050286535],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99843377,0.00015808092,0.00043645673,0.00053746044,0.00004914136,0.0003851026],"domain_scores_gemma":[0.99667823,0.0020182612,0.00054591754,0.0006150038,0.000066811044,0.00007579556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010663479,0.0001647222,0.00053475035,0.0004949558,0.0007203439,0.00012474682,0.0007624921,0.00026480475,0.000057540903],"category_scores_gemma":[0.00047934082,0.00017679037,0.00015410938,0.00022851341,0.00044183867,0.00020779474,0.0006952883,0.0010370649,0.000018397743],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033514912,0.00006419934,0.90884995,0.00030884656,0.00013641332,0.000006194324,0.009666661,0.00006804963,2.4571594e-7,0.07745288,0.0014998538,0.001611527],"study_design_scores_gemma":[0.007634101,0.0000881975,0.77693826,0.0007435976,0.00018659362,0.000007744031,0.027215973,0.013101854,0.000008096896,0.13187574,0.041094918,0.001104925],"about_ca_topic_score_codex":0.004273583,"about_ca_topic_score_gemma":0.0017230253,"teacher_disagreement_score":0.13191171,"about_ca_system_score_codex":0.00029428396,"about_ca_system_score_gemma":0.00006619891,"threshold_uncertainty_score":0.7209302},"labels":[],"label_agreement":null},{"id":"W1498505304","doi":"10.1007/s10901-009-9176-7","title":"A. Baranzini, J. Ramirez, C. Schaerer and P. Thalmann (eds), Hedonic methods in housing markets: pricing environmental amenities and segregation","year":2009,"lang":"en","type":"article","venue":"Journal of Housing and the Built Environment","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Human geography; Hedonic pricing; Economics; Economic geography; Econometrics","score_opus":0.01656943074735716,"score_gpt":0.22967655732160214,"score_spread":0.21310712657424496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1498505304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97727245,0.01761476,0.0025573669,0.0010644016,0.00012527018,0.00015384548,0.0000034358518,0.000006516818,0.0012019682],"genre_scores_gemma":[0.961673,0.029888613,0.008049662,0.00024354125,0.00007677972,0.000001691878,9.5169304e-7,0.000021559355,0.00004416448],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9985407,0.00011944963,0.0007698305,0.0002541199,0.000057271845,0.00025860214],"domain_scores_gemma":[0.998964,0.00017606698,0.0006062592,0.00016789383,0.0000026431437,0.000083097344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024443879,0.00020699573,0.000536205,0.00023063099,0.00021404978,0.00015262105,0.000102769176,0.00009283515,0.000028060562],"category_scores_gemma":[0.000040298248,0.00017742022,0.000076258046,0.000048006903,0.00028327774,0.0003525195,0.00008335506,0.0002818589,0.0000029071382],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012672438,0.00037120577,0.11932306,0.000099829274,0.00024910478,0.00006583923,0.007585636,0.0032795505,0.0011955661,0.0064896313,0.000044201384,0.86002916],"study_design_scores_gemma":[0.020687455,0.0010629013,0.6550963,0.0005549898,0.00031614662,0.0012152554,0.00409991,0.06923221,0.00096011796,0.21483438,0.029911531,0.0020287884],"about_ca_topic_score_codex":0.000046839217,"about_ca_topic_score_gemma":0.0000044450962,"teacher_disagreement_score":0.85800034,"about_ca_system_score_codex":0.00016046484,"about_ca_system_score_gemma":0.000008837477,"threshold_uncertainty_score":0.7234987},"labels":[],"label_agreement":null},{"id":"W1499893511","doi":"","title":"Mortgage Debt and Procyclicality in the Housing Market","year":2011,"lang":"en","type":"article","venue":"Bank of Canada review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Collateral; Boom; Economics; Debt; Volatility (finance); Monetary economics; Loan-to-value ratio; House price; Loan; Value (mathematics); Financial system; Financial economics; Mortgage insurance; Finance","score_opus":0.043866583950191926,"score_gpt":0.20742549466455096,"score_spread":0.16355891071435902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1499893511","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12815037,0.06142776,0.00005423362,0.0014400291,0.00015586842,0.00055018073,0.00003710372,0.000008432415,0.80817604],"genre_scores_gemma":[0.94986373,0.047967367,0.00025467624,0.0017979147,0.000018179207,0.000016525746,0.0000016030355,0.000011385813,0.000068634334],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990744,0.000034113717,0.00052409625,0.00017129217,0.00002482292,0.00017125774],"domain_scores_gemma":[0.9994242,0.00004948172,0.00021990777,0.00025808142,0.000008939907,0.000039373466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013474462,0.00008605937,0.00037877716,0.000032336557,0.000037003734,0.00001007597,0.00017551139,0.000028650204,0.00036895426],"category_scores_gemma":[0.00014421086,0.00007589793,0.000039467002,0.00011429829,0.000036836467,0.00006904206,0.000027969505,0.00008431035,0.0000023088382],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065574364,0.00024971913,0.59023726,0.010575802,0.00010857511,0.00006961483,0.0011531255,0.0000024123185,0.0000016570094,0.113816276,0.1024674,0.18125261],"study_design_scores_gemma":[0.00034937327,0.000029299616,0.37998226,0.0008754688,0.000025162812,0.00001650479,0.00006334014,0.00032489895,0.000008778095,0.011288806,0.6066316,0.00040453998],"about_ca_topic_score_codex":0.11860851,"about_ca_topic_score_gemma":0.23591353,"teacher_disagreement_score":0.8217133,"about_ca_system_score_codex":0.000059473943,"about_ca_system_score_gemma":0.00008334773,"threshold_uncertainty_score":0.88726074},"labels":[],"label_agreement":null},{"id":"W1500407789","doi":"","title":"The Hypothecation Discourse: Viability and Issues for Funding Urban Transport Investment","year":2011,"lang":"en","type":"article","venue":"European Transport Conference 2011Association for European Transport (AET)Transportation Research Board","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Finance; Government (linguistics); Private sector; General partnership; Public sector; Investment fund; Business; Localism; Public transport; Economics; Public administration; Economic policy; Economic growth; Economy; Political science","score_opus":0.13949893598393043,"score_gpt":0.3025914773028288,"score_spread":0.1630925413188984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1500407789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.748958,0.00078881,0.067082234,0.0025565904,0.0013000051,0.0059700003,0.0038090104,0.0005521537,0.16898319],"genre_scores_gemma":[0.98854226,0.001450382,0.0026096778,0.00013960197,0.00033815537,0.00025353825,0.0014552061,0.00025709855,0.0049540885],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99416316,0.00033156865,0.0023230133,0.0014725522,0.00035071114,0.0013589773],"domain_scores_gemma":[0.99681693,0.0003378631,0.0009114422,0.00081630267,0.0006384037,0.00047907207],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.010508208,0.0006138237,0.0008107721,0.00041541795,0.0015504538,0.00017402433,0.0009182434,0.00018351054,0.00022586426],"category_scores_gemma":[0.0001304975,0.0006266338,0.00052587944,0.0004105108,0.0007479418,0.0009490584,0.000010460135,0.0005763041,0.00014983428],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009990964,0.00053836865,0.68935734,0.00048715997,0.00041656545,0.0000266111,0.023862286,0.000050100352,0.00018164443,0.27696612,0.0020197574,0.0050949194],"study_design_scores_gemma":[0.0020175586,0.00036543334,0.8249961,0.00007868626,0.00011171845,5.6707177e-7,0.0011295603,0.00026963535,0.00013549971,0.011640355,0.1584778,0.0007770712],"about_ca_topic_score_codex":0.0007829072,"about_ca_topic_score_gemma":0.0026338075,"teacher_disagreement_score":0.26532578,"about_ca_system_score_codex":0.00024689778,"about_ca_system_score_gemma":0.00015338941,"threshold_uncertainty_score":0.99974936},"labels":[],"label_agreement":null},{"id":"W1501027042","doi":"10.1111/jmcb.12205","title":"Discussion of Cesa‐Bianchi, Cespedes, and Rebucci","year":2015,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Boom; Credit cycle; Economics; Market liquidity; Bust; Interest rate; Monetary economics; Real estate; Index (typography); Price index; Business cycle; Macroeconomics; Finance; Engineering","score_opus":0.039839238770984824,"score_gpt":0.22441877319416428,"score_spread":0.18457953442317945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1501027042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97997713,0.0026887825,0.0005734509,0.0008674385,0.0007804263,0.000038421695,0.000009243999,0.0000048163465,0.015060309],"genre_scores_gemma":[0.9965068,0.0013501549,0.001470796,0.000036340512,0.0004888126,2.8101596e-7,0.0000010310304,0.000012224512,0.000133578],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990339,0.000012459108,0.0006497806,0.00012418642,0.000040459847,0.00013916413],"domain_scores_gemma":[0.9989408,0.000037190373,0.0007531862,0.0000947702,0.000043445165,0.00013060188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010862855,0.00009446626,0.00040048512,0.00019801086,0.00005241637,0.000067944246,0.00010057647,0.00007360411,0.000036153215],"category_scores_gemma":[0.00013198984,0.0000745412,0.00006226294,0.00007016263,0.00005634258,0.00036455767,0.000058648428,0.00014174658,0.0000031223667],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057451404,0.000219982,0.8627761,0.0002212475,0.00023243258,0.000050198272,0.0066994047,0.00020987542,0.00045455157,0.014964719,0.018877365,0.094719596],"study_design_scores_gemma":[0.009841436,0.0020034327,0.20647609,0.00095146435,0.00016391564,0.0006206943,0.0031277712,0.011960916,0.0010658766,0.40505767,0.35726893,0.0014618079],"about_ca_topic_score_codex":0.000030454928,"about_ca_topic_score_gemma":0.000009194259,"teacher_disagreement_score":0.6563,"about_ca_system_score_codex":0.000033992845,"about_ca_system_score_gemma":0.000026073803,"threshold_uncertainty_score":0.3039702},"labels":[],"label_agreement":null},{"id":"W1501195115","doi":"","title":"THE ROLE OF PRICE EXPECTATIONS IN THE U.K. MARKET HOUSING","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bounded rationality; Institution; Rationality; Bounded function; Economics; Logistic regression; Real estate; Actuarial science; Function (biology); Econometrics; Survey data collection; Microeconomics; Financial economics; Finance; Mathematics; Statistics; Law; Political science","score_opus":0.02849047517202047,"score_gpt":0.2748233768124683,"score_spread":0.24633290164044785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1501195115","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4286943,0.00074271235,0.0000052836454,0.0005994363,0.0005757345,0.000705567,0.000079533915,0.000015494663,0.56858194],"genre_scores_gemma":[0.9849062,0.013413229,0.0005148767,0.000047323687,0.00024581503,0.0002863044,0.00002236542,0.00007668695,0.00048722493],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962704,0.00024353496,0.0016127548,0.00085682713,0.000090133275,0.0009263063],"domain_scores_gemma":[0.9954965,0.0019145601,0.0007501933,0.0016801016,0.00006616089,0.0000924576],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.007238729,0.00032149465,0.0007248879,0.000736987,0.00036859946,0.00040718986,0.0018317208,0.0005511925,0.00014036126],"category_scores_gemma":[0.0011177866,0.0002973449,0.00026633343,0.00029755585,0.0005227822,0.00015867966,0.0008044858,0.0026785338,0.000033821874],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005726111,0.0012282035,0.26388445,0.00043374006,0.00039970773,0.000037276557,0.0195536,0.011197434,0.000115663686,0.13079382,0.0007027994,0.5710807],"study_design_scores_gemma":[0.0016764908,0.00014334137,0.0701678,0.00030055927,0.000015793335,0.000018616764,0.0226194,0.1270044,0.00017368891,0.35455087,0.42161733,0.0017116943],"about_ca_topic_score_codex":0.0004520187,"about_ca_topic_score_gemma":0.003438441,"teacher_disagreement_score":0.569369,"about_ca_system_score_codex":0.00059710257,"about_ca_system_score_gemma":0.00032308925,"threshold_uncertainty_score":0.99994785},"labels":[],"label_agreement":null},{"id":"W1502440949","doi":"10.2139/ssrn.2233380","title":"Advertising Expensive Mortgages","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Business; Advertising","score_opus":0.01172949621413756,"score_gpt":0.1968454108628407,"score_spread":0.18511591464870314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1502440949","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88692784,0.0037558961,0.009013558,0.0013997942,0.00070490345,0.0001604419,0.0000026990335,0.000052555544,0.09798232],"genre_scores_gemma":[0.9898504,0.006413635,0.0002360503,0.0002513209,0.00033402475,0.0000075223666,0.000002230966,0.000036756006,0.0028680847],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973894,0.000015767642,0.0005123162,0.00024118804,0.000026590496,0.0018147515],"domain_scores_gemma":[0.9993289,0.00003086222,0.00030900323,0.00019221824,0.000039412633,0.00009957766],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00097555446,0.00014899344,0.000290977,0.00018179175,0.00022587675,0.0001900362,0.00024549617,0.00008341103,0.0009948612],"category_scores_gemma":[0.00008427722,0.00016772478,0.00014154329,0.00009698445,0.00003766986,0.0005930013,0.000040468294,0.0009191493,0.0032274406],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021604288,0.00008518104,0.059571788,0.000009278473,0.00027645638,0.0000058259993,0.0006197017,0.0001556669,0.00010895404,0.85530794,0.0028146636,0.08102294],"study_design_scores_gemma":[0.00051169633,0.000099188204,0.0055768928,0.000009995287,0.0000058366895,0.00020352096,0.0011955681,0.0009671097,0.000034155437,0.98003954,0.01102649,0.00032999975],"about_ca_topic_score_codex":0.000340616,"about_ca_topic_score_gemma":0.00015030237,"teacher_disagreement_score":0.12473161,"about_ca_system_score_codex":0.00076727563,"about_ca_system_score_gemma":0.00021219517,"threshold_uncertainty_score":0.99991834},"labels":[],"label_agreement":null},{"id":"W1506559947","doi":"10.2139/ssrn.978517","title":"As the Nation's Multifamily Goes, so Goes Manhattan: Are Tightening Local Regulations Really to Blame for Reduced Coastal Housing Supply?","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Blame; Business; Public administration; Political science; Environmental planning; Geography; Psychology","score_opus":0.016368151368120993,"score_gpt":0.23143099086617117,"score_spread":0.21506283949805016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1506559947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7388483,0.0009983095,0.24528687,0.005930097,0.0009873272,0.0005477578,0.000063562096,0.00006736907,0.007270385],"genre_scores_gemma":[0.99442333,0.00073223654,0.001798582,0.0004438247,0.0008333797,0.000014417296,0.000028158045,0.00007339367,0.0016526817],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99672574,0.000025064946,0.000847076,0.00039839256,0.00007637882,0.0019273702],"domain_scores_gemma":[0.99863476,0.00020515616,0.0005991464,0.00028569388,0.000120713135,0.00015452127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004096733,0.00023571335,0.0003676768,0.0003526491,0.0010193613,0.0003451187,0.00039988107,0.00014944343,0.000048746984],"category_scores_gemma":[0.00023659607,0.00023135605,0.00022197423,0.0002773064,0.00010199808,0.0003478748,0.000062229374,0.00083056826,0.00011695013],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072477345,0.0001972567,0.019620005,0.00002744061,0.0005317184,0.000011713635,0.002475842,0.008055262,0.00041737617,0.7820924,0.0015921503,0.18425405],"study_design_scores_gemma":[0.0037693519,0.0009302826,0.032029748,0.00013430476,0.000084996,0.00055437285,0.01242185,0.01943383,0.00044985165,0.73694235,0.19167437,0.0015747038],"about_ca_topic_score_codex":0.0004101194,"about_ca_topic_score_gemma":0.011046942,"teacher_disagreement_score":0.255575,"about_ca_system_score_codex":0.0013514927,"about_ca_system_score_gemma":0.00059954275,"threshold_uncertainty_score":0.9434426},"labels":[],"label_agreement":null},{"id":"W1507844484","doi":"10.1108/mf-07-2013-0195","title":"An assessment of the risk and return of residential real estate","year":2015,"lang":"en","type":"article","venue":"Managerial Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Real estate; Capital asset pricing model; Risk–return spectrum; Capitalization rate; Actuarial science; Economics; Financial economics; Risk premium; Leverage (statistics); Market liquidity; Cost approach; Market risk; Real estate investment trust; Econometrics; Business; Finance; Portfolio; Computer science","score_opus":0.02181284708398998,"score_gpt":0.24921778242910161,"score_spread":0.22740493534511164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1507844484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9261708,0.000034288423,0.00043845532,0.00006944063,0.0007643024,0.00011580268,0.00007317102,0.000008716962,0.07232503],"genre_scores_gemma":[0.99596775,0.002096544,0.0016179701,0.000008732482,0.00010166799,0.0000036777783,0.0000031450986,0.000013738329,0.00018679127],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990903,0.000037666287,0.00046585093,0.00023317298,0.00003061881,0.0001423776],"domain_scores_gemma":[0.9989086,0.000022821427,0.00058537646,0.00042328046,0.000023945051,0.000036006826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090503733,0.000089874935,0.0003057184,0.000063376196,0.000053348576,0.000034197623,0.00023966056,0.00005869241,0.000014709896],"category_scores_gemma":[0.00007021451,0.00008795932,0.000056620363,0.000118036216,0.00012246193,0.0001819353,0.0001025724,0.0000836476,0.0000039137763],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025595244,0.00016251646,0.8433002,0.00010954855,0.00006363825,0.000004778546,0.0019200686,0.002704244,0.0001975112,0.1156627,0.0015442441,0.03407456],"study_design_scores_gemma":[0.001608761,0.00026325096,0.8987303,0.0000319457,0.000026088175,0.0000022345039,0.00019085048,0.02341776,0.00044837382,0.050971147,0.023965072,0.0003442437],"about_ca_topic_score_codex":0.0025081472,"about_ca_topic_score_gemma":0.00034030568,"teacher_disagreement_score":0.072138235,"about_ca_system_score_codex":0.000038966897,"about_ca_system_score_gemma":0.000033515636,"threshold_uncertainty_score":0.3791585},"labels":[],"label_agreement":null},{"id":"W1509733005","doi":"","title":"Residential investment over the real estate cycle","year":2006,"lang":"en","type":"article","venue":"FRB SF weekly letter","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Quarter (Canadian coin); Residential real estate; Investment (military); Economics; House price; Economic slowdown; Monetary economics; Finance; Business; Macroeconomics; Geography","score_opus":0.013964180203559547,"score_gpt":0.19086277065005444,"score_spread":0.1768985904464949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1509733005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6149981,0.00003028114,0.00023144731,0.007480827,0.00069766043,0.00011891368,0.000036309397,0.000045070552,0.3763614],"genre_scores_gemma":[0.978972,0.00026081738,0.0004610482,0.011330752,0.0023101529,0.00003531903,0.00006879798,0.00006787119,0.006493199],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986905,0.000022367889,0.00050505786,0.0003560563,0.00003711041,0.0003888976],"domain_scores_gemma":[0.9992382,0.000044546272,0.00021228942,0.00044901777,0.00000881517,0.000047165522],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00041626004,0.00016326789,0.00023893394,0.00010185768,0.00017804025,0.00020576782,0.0002638059,0.00008945002,0.00081262056],"category_scores_gemma":[0.000012863356,0.00015391271,0.00012907555,0.00010189121,0.00009262037,0.00022265111,0.000084744286,0.00017218264,0.0019582508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004645067,0.00013486693,0.14417136,0.000022903838,0.00008385498,0.0000389279,0.00061340193,0.0009149224,0.00016453353,0.06988812,0.78138715,0.0025334998],"study_design_scores_gemma":[0.00045928528,0.000019890906,0.19129336,0.0000042113006,0.000007870226,0.0000024148503,0.000012237195,0.0013944266,0.000046311936,0.031324662,0.7751662,0.00026915013],"about_ca_topic_score_codex":0.0062112175,"about_ca_topic_score_gemma":0.0006583493,"teacher_disagreement_score":0.3698682,"about_ca_system_score_codex":0.000120018914,"about_ca_system_score_gemma":0.00001306489,"threshold_uncertainty_score":0.9988188},"labels":[],"label_agreement":null},{"id":"W1511056075","doi":"","title":"Living on a Noisy and Dusty Street: Implications for Environmental Evaluation","year":2004,"lang":"en","type":"preprint","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Ministère des Transports","keywords":"Context (archaeology); Hedonic pricing; Valuation (finance); Humanities; Welfare economics; Geography; Economics; Art; Econometrics; Archaeology; Finance","score_opus":0.03285455049886999,"score_gpt":0.23066232928607694,"score_spread":0.19780777878720696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1511056075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95006245,0.0040823817,0.0016672454,0.00086253136,0.0008455968,0.0019971482,0.01038401,0.00006399759,0.030034622],"genre_scores_gemma":[0.9902446,0.0070556425,0.0005936632,0.0000322642,0.00011616047,0.000008897409,0.0011608633,0.000029288827,0.0007586126],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997947,0.000041463205,0.00054613774,0.0011389077,0.000067031084,0.0002595056],"domain_scores_gemma":[0.9974765,0.00019591434,0.00097180577,0.0011696785,0.00003417179,0.00015192921],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000619176,0.00030046923,0.0005850911,0.00020660272,0.0004551792,0.000104894665,0.00050758786,0.0002795496,0.0000493749],"category_scores_gemma":[0.000075037286,0.00041086372,0.000106112995,0.000036743975,0.0002203682,0.00037609265,0.0010132298,0.00021088778,0.000007083627],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081857963,0.0021042358,0.772305,0.0014687387,0.0030328697,0.00005333797,0.0014211219,0.003793057,0.00019973998,0.024904089,0.018051255,0.17184798],"study_design_scores_gemma":[0.006234847,0.0004992987,0.8236081,0.00083431863,0.0011739096,0.00004379272,0.00094589044,0.01565743,0.00003307473,0.022199096,0.12665895,0.0021112922],"about_ca_topic_score_codex":0.004161835,"about_ca_topic_score_gemma":0.0024889882,"teacher_disagreement_score":0.1697367,"about_ca_system_score_codex":0.0007254632,"about_ca_system_score_gemma":0.000097552285,"threshold_uncertainty_score":0.9998343},"labels":[],"label_agreement":null},{"id":"W1511096967","doi":"","title":"Analysis of the various factors impact on apartment and dwelling house prices in the Pomurska region","year":2010,"lang":"en","type":"other","venue":"Repozitorij Univerze v Ljubljani (Univerze v Lgubljani)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Apartment; Real estate; Tourism; Geography; Market value; Quarter (Canadian coin); House price; Agricultural economics; Business; Mathematics; Economics; Engineering; Econometrics; Civil engineering; Finance","score_opus":0.019412442519484055,"score_gpt":0.20694071909885206,"score_spread":0.187528276579368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1511096967","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52016175,0.0012441005,0.00042103705,0.00039410018,0.0030526351,0.0013799298,0.00040231502,0.0002297887,0.4727143],"genre_scores_gemma":[0.9790376,0.0031394728,0.000114990595,0.000063824766,0.00045089377,0.0000075282683,0.000062299085,0.00046985134,0.016653536],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971529,0.00011032081,0.0008774802,0.001060312,0.00018168108,0.00061727746],"domain_scores_gemma":[0.99554765,0.0003539595,0.0020850326,0.0018219653,0.00004285791,0.00014854221],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006983855,0.00071253895,0.0015345569,0.0023439343,0.00023610734,0.00020114165,0.0012287522,0.0008147703,0.00044548008],"category_scores_gemma":[0.00009941528,0.0005365094,0.00078625686,0.0021555952,0.00027705092,0.00020545069,0.0002040075,0.0009397808,0.000049655333],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037659437,0.0015663553,0.6468454,0.00043861597,0.008963754,0.0002823261,0.014237186,0.0032693285,0.000042359836,0.2734291,0.04433096,0.006218024],"study_design_scores_gemma":[0.0018033454,0.0004788667,0.16075514,0.0003876435,0.0015289435,0.0000370653,0.00229435,0.0052108476,0.000023582244,0.0033148031,0.8219197,0.0022457198],"about_ca_topic_score_codex":0.0076541505,"about_ca_topic_score_gemma":0.002766475,"teacher_disagreement_score":0.7775887,"about_ca_system_score_codex":0.0005130522,"about_ca_system_score_gemma":0.00013206145,"threshold_uncertainty_score":0.99970865},"labels":[],"label_agreement":null},{"id":"W1511142169","doi":"10.1016/j.jeconom.2012.11.002","title":"Chi-squared tests for evaluation and comparison of asset pricing models","year":2012,"lang":"en","type":"article","venue":"Journal of Econometrics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Concordia University","funders":"Social Sciences and Humanities Research Council of Canada; Emory University; National Science Foundation","keywords":"Capital asset pricing model; Model selection; Nonlinear system; Cover (algebra); Linear model; Selection (genetic algorithm); Asset (computer security); Measure (data warehouse); Sample size determination; Econometrics; Computer science; Sample (material); Mathematics; Mathematical optimization; Data mining; Statistics; Machine learning; Engineering","score_opus":0.30495827489790717,"score_gpt":0.3225942743613321,"score_spread":0.017635999463424923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1511142169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9583765,0.0063895565,0.021964855,0.000099677316,0.0009802326,0.0002747267,0.000051841314,0.000005256332,0.011857346],"genre_scores_gemma":[0.99125725,0.00048774874,0.007897988,0.000030883122,0.0002697258,0.0000054197767,0.0000067175015,0.000023492412,0.000020765097],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980329,0.00001932805,0.0014723671,0.0001476045,0.000049539092,0.00027821548],"domain_scores_gemma":[0.9970067,0.0003704345,0.0021320486,0.00016567048,0.00017756438,0.00014758453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004264305,0.00013203117,0.0007229552,0.0012440046,0.00006684154,0.00006075805,0.00016652956,0.000095128846,0.000058521175],"category_scores_gemma":[0.0009832755,0.00015058248,0.00014659118,0.00039557792,0.000033740736,0.0009994935,0.00003693742,0.00013552923,0.0000065996423],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013070181,0.00058196747,0.92265755,0.00016653797,0.00020402191,1.6145749e-7,0.001444375,0.00974446,0.000022186103,0.03477396,0.0014475752,0.028826492],"study_design_scores_gemma":[0.007067488,0.0016617383,0.2159444,0.000091822054,0.00022027949,0.00004013429,0.00085436227,0.6602349,0.00034655185,0.0968513,0.015831623,0.00085536647],"about_ca_topic_score_codex":0.000011095551,"about_ca_topic_score_gemma":0.0000046952628,"teacher_disagreement_score":0.7067132,"about_ca_system_score_codex":0.00021612394,"about_ca_system_score_gemma":0.000045041743,"threshold_uncertainty_score":0.61405754},"labels":[],"label_agreement":null},{"id":"W1513230442","doi":"10.2139/ssrn.2471754","title":"Endogenous Savings Rate with Forward-Looking Households in a Recursive Dynamic CGE Model: Application to South Africa","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Computable general equilibrium; Economics; Macroeconomics; Econometrics","score_opus":0.012398655402891177,"score_gpt":0.1879701498816777,"score_spread":0.17557149447878653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1513230442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56146884,0.0003152894,0.4236477,0.00044268812,0.0000832976,0.00029559972,0.000011131232,0.000044209693,0.013691213],"genre_scores_gemma":[0.9977748,0.0006219432,0.00092168245,0.00014771752,0.00008959796,0.00003539444,0.000004692254,0.00007416396,0.00033004954],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99709725,0.000031120315,0.00056355563,0.0004402853,0.000041861804,0.0018259098],"domain_scores_gemma":[0.99906594,0.000038895043,0.0004390835,0.000295355,0.00003250781,0.00012822148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00271201,0.0002187998,0.00041981082,0.00035793762,0.00018695598,0.00011995562,0.0003470718,0.000108393324,0.0000068470013],"category_scores_gemma":[0.00006889398,0.00024054924,0.000096223725,0.00029947006,0.000027721271,0.0002452893,0.000044762222,0.00087870256,0.00011548597],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007880199,0.0002913306,0.036899388,0.000046287067,0.0003275977,0.000008199149,0.015182526,0.17593135,0.00042255362,0.72711116,0.000058723705,0.04293285],"study_design_scores_gemma":[0.002045756,0.0006613363,0.0010578659,0.000049499,0.000029119647,0.00014539942,0.0010452146,0.18519253,0.000032849966,0.8050007,0.0038987123,0.0008410267],"about_ca_topic_score_codex":0.000087202236,"about_ca_topic_score_gemma":0.0013311286,"teacher_disagreement_score":0.4363059,"about_ca_system_score_codex":0.001753008,"about_ca_system_score_gemma":0.0003206489,"threshold_uncertainty_score":0.98093134},"labels":[],"label_agreement":null},{"id":"W1513413642","doi":"","title":"Dynamics of the Condominium Market in Singapore","year":2001,"lang":"en","type":"article","venue":"Journal of the Asian Real Estate Society","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economics; Inflation (cosmology); Speculation; Supply and demand; Stock (firearms); Interest rate; Monetary economics; Finance; Macroeconomics","score_opus":0.013555435186636629,"score_gpt":0.20838266745213951,"score_spread":0.1948272322655029,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1513413642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76868165,0.000029397233,0.000060914368,0.005801165,0.0007652965,0.00009664973,0.00002996333,0.0000031037696,0.22453186],"genre_scores_gemma":[0.9939278,0.0043459814,0.00048570544,0.0001475179,0.00009492899,7.0022065e-7,7.792748e-7,0.000021055903,0.0009755399],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99863106,0.000046360637,0.0009237206,0.00011858376,0.00005138316,0.00022889854],"domain_scores_gemma":[0.9981719,0.000073254785,0.0013521734,0.00031123427,0.00004110165,0.00005031432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014836092,0.00011680844,0.00041131684,0.00005002325,0.00008881075,0.000037454305,0.0005496409,0.00010393949,0.00007972096],"category_scores_gemma":[0.000096397765,0.000083911335,0.00059025094,0.00028147985,0.00015420203,0.00016586481,0.00010575182,0.00038174394,0.0000037277016],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025733229,0.00024602716,0.9500925,0.00007318519,0.00022518293,0.000011969428,0.0068834936,0.0011610722,0.000039802875,0.0068850145,0.009612195,0.02451222],"study_design_scores_gemma":[0.004701328,0.00015244207,0.84624034,0.0002375883,0.000063119965,0.00027907168,0.0076343506,0.033474468,0.00010637736,0.07009483,0.036456227,0.0005598469],"about_ca_topic_score_codex":0.00018174331,"about_ca_topic_score_gemma":0.0003187279,"teacher_disagreement_score":0.22524613,"about_ca_system_score_codex":0.00033138963,"about_ca_system_score_gemma":0.00010564162,"threshold_uncertainty_score":0.3421805},"labels":[],"label_agreement":null},{"id":"W1515573417","doi":"10.34989/swp-2010-19","title":"A Model of Housing Stock for Canada","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Humanities; Stock (firearms); Political science; Geography; Art; Archaeology","score_opus":0.04197025015434372,"score_gpt":0.21861651239997743,"score_spread":0.1766462622456337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1515573417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9288235,0.0021256804,0.009215663,0.00028026113,0.00543022,0.00080853386,0.0028496783,0.00007280193,0.050393704],"genre_scores_gemma":[0.98638326,0.00043758098,0.010832945,0.0003410689,0.000422663,0.00016187076,0.00023340844,0.0001670511,0.0010201575],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99564105,0.000030351974,0.002110755,0.0013540742,0.00007085944,0.00079293177],"domain_scores_gemma":[0.99609864,0.00025340938,0.0019225266,0.0012809413,0.00017247863,0.00027199],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008863228,0.0006522937,0.0020667736,0.00042737494,0.00021606832,0.00019413288,0.00074501295,0.0006502673,0.0006369977],"category_scores_gemma":[0.00030336375,0.0009483176,0.0007048409,0.00012847093,0.00021208066,0.00023877846,0.0005540725,0.0006672637,0.000024082134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001248738,0.00031453013,0.8979351,0.0017609495,0.0010528964,0.000019462457,0.0010129545,0.053913165,0.00005995981,0.018218057,0.02341969,0.0021683997],"study_design_scores_gemma":[0.0046795798,0.00017941889,0.017532963,0.0010514763,0.00034495274,0.000046629262,0.00088414573,0.8907484,0.000829737,0.03702078,0.040447902,0.0062340423],"about_ca_topic_score_codex":0.08847436,"about_ca_topic_score_gemma":0.30887374,"teacher_disagreement_score":0.8804021,"about_ca_system_score_codex":0.0015804003,"about_ca_system_score_gemma":0.003600035,"threshold_uncertainty_score":0.9992967},"labels":[],"label_agreement":null},{"id":"W1515892454","doi":"","title":"Ein kubischer Spline zur temporalen Disaggregation von Stromgrößen und seine Anwendbarkeit auf Immobilienindizes","year":2006,"lang":"de","type":"preprint","venue":"publish.UP (University of Potsdam)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Mathematics; Art","score_opus":0.02089325882468723,"score_gpt":0.19923726634620498,"score_spread":0.17834400752151774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1515892454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8723459,0.0031000103,0.008910145,0.003322472,0.004867877,0.0013035932,0.003697005,0.000213995,0.102239005],"genre_scores_gemma":[0.9484851,0.0020530266,0.003940595,0.00005525012,0.0010024308,0.000004885329,0.005260389,0.00017719796,0.039021134],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99475545,0.00022710119,0.0015813025,0.0020737536,0.00022967168,0.0011327363],"domain_scores_gemma":[0.9937598,0.00024275297,0.0035075822,0.0017208667,0.00032332868,0.00044562927],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0031156563,0.00094426994,0.0021305073,0.0015385811,0.000555231,0.0006948719,0.0020268967,0.0014037982,0.0038922546],"category_scores_gemma":[0.00028442492,0.0014713409,0.0009634591,0.0008344637,0.0006550464,0.0023710073,0.0016422418,0.0012481279,0.0009808127],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014481801,0.003524579,0.69898164,0.0032198417,0.006716395,0.00018216444,0.008317898,0.013876641,0.000110189605,0.02387229,0.16063328,0.07911687],"study_design_scores_gemma":[0.00925204,0.00055419595,0.46400335,0.00091975037,0.0014213265,0.000011130482,0.0031008658,0.051782403,0.00007686524,0.019032512,0.44473463,0.005110941],"about_ca_topic_score_codex":0.009189055,"about_ca_topic_score_gemma":0.0028820254,"teacher_disagreement_score":0.28410134,"about_ca_system_score_codex":0.0010538778,"about_ca_system_score_gemma":0.00038905098,"threshold_uncertainty_score":0.9998926},"labels":[],"label_agreement":null},{"id":"W1517766639","doi":"10.3828/jtep.2004.38.1.1","title":"Meta-Analysis of Airport Noise and Hedonic Property Values","year":2004,"lang":"en","type":"article","venue":"Journal of transport economics and policy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":185,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Depreciation (economics); Noise (video); Property value; Econometrics; Residential property; Specification; Economics; Aircraft noise; Decibel; Sample (material); Regression analysis; Hedonic pricing; Statistics; Mathematics; Computer science; Microeconomics; Real estate; Telecommunications; Economic geography; Noise reduction; Finance","score_opus":0.06207971127388406,"score_gpt":0.24243155462795002,"score_spread":0.18035184335406595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1517766639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9868296,0.0026416911,0.00025071925,0.0025081155,0.00010978663,0.00009241191,0.00017426866,0.0000049510927,0.00738847],"genre_scores_gemma":[0.98238504,0.015997663,0.0009687576,0.00028057216,0.00012085172,0.00000197423,0.0000060475786,0.000023201166,0.00021590602],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9979707,0.000008197308,0.0015226094,0.00025021544,0.000022123348,0.00022613109],"domain_scores_gemma":[0.99829286,0.00003095812,0.0012133602,0.00023264169,0.00004600786,0.00018417656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010173032,0.0001996374,0.0017540642,0.00074945105,0.000066223154,0.000043881424,0.00017887459,0.00011028822,0.00009899563],"category_scores_gemma":[0.000016384893,0.00016636786,0.0009214117,0.00022283012,0.00013525753,0.00036680352,0.00001946283,0.00014231248,0.0000038135315],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045517547,0.0007018953,0.31399128,0.0002846369,0.21781568,0.000040701092,0.006394397,0.05467787,0.0000498113,0.40104455,0.00010676141,0.004437241],"study_design_scores_gemma":[0.007000163,0.0012727194,0.45337546,0.000039347306,0.11545452,0.00031743228,0.00037839686,0.0044296766,0.00041230454,0.33099833,0.08415465,0.0021669907],"about_ca_topic_score_codex":0.0009909354,"about_ca_topic_score_gemma":0.0002510062,"teacher_disagreement_score":0.13938418,"about_ca_system_score_codex":0.000086187174,"about_ca_system_score_gemma":0.0001444991,"threshold_uncertainty_score":0.6784284},"labels":[],"label_agreement":null},{"id":"W1518466918","doi":"","title":"Bulles spéculatives sur le marché du logement : États-Unis et Canada","year":2010,"lang":"fr","type":"article","venue":"Archipelago (Université du Québec à Montréal)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.009591535183266853,"score_gpt":0.15322697222688839,"score_spread":0.14363543704362153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1518466918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8917043,0.0048106867,0.0007972812,0.07876703,0.0025409737,0.0002981151,0.0003492833,0.00005550848,0.020676777],"genre_scores_gemma":[0.98483735,0.006332195,0.0014705725,0.0009387084,0.0003307637,0.0000065340237,0.00005518863,0.000093826544,0.0059348615],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99742883,0.000092713155,0.00066589715,0.0008343273,0.00010131035,0.0008769089],"domain_scores_gemma":[0.9977571,0.00046398008,0.0005283569,0.00076362694,0.00008940439,0.0003975776],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007194704,0.00048554764,0.0007631556,0.00033392513,0.0010442819,0.00015592838,0.00076809543,0.00023024972,0.0019724013],"category_scores_gemma":[0.0002011811,0.00064381165,0.0003177648,0.0002675846,0.0005648446,0.0006197297,0.0005498019,0.0007464765,0.00034599748],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048262769,0.0012461134,0.25136858,0.00035464877,0.0013317112,0.0009509243,0.09829186,0.0038709203,0.00012629436,0.302445,0.12273755,0.21679376],"study_design_scores_gemma":[0.001711318,0.000095471994,0.13305718,0.00004872816,0.00005503948,0.000051069204,0.0064689773,0.013957814,0.000019249483,0.0052222162,0.83841896,0.00089399493],"about_ca_topic_score_codex":0.994093,"about_ca_topic_score_gemma":0.9992486,"teacher_disagreement_score":0.7156814,"about_ca_system_score_codex":0.0009265179,"about_ca_system_score_gemma":0.002162702,"threshold_uncertainty_score":0.9996013},"labels":[],"label_agreement":null},{"id":"W1518630644","doi":"10.2139/ssrn.2230691","title":"Empirical Analysis of Accounting Estimates When Predictions are Poor","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Accounting; Econometrics; Economics; Statistics; Mathematics","score_opus":0.025272422367405595,"score_gpt":0.24592658226214673,"score_spread":0.22065415989474113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1518630644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95538527,0.003417429,0.02679562,0.00066322304,0.00045170056,0.00006225218,0.000036748093,0.000033355063,0.01315443],"genre_scores_gemma":[0.9974837,0.0014007681,0.0004539296,0.00007423588,0.0003074536,0.0000028574184,0.000008981713,0.000021650305,0.0002464654],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976533,0.000014433088,0.00065291364,0.0001664144,0.000037135243,0.0014757742],"domain_scores_gemma":[0.9989492,0.000071655675,0.0006732371,0.0001722152,0.000037449798,0.000096223885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002263902,0.0001279409,0.0004810115,0.0006022195,0.00017727267,0.000061316954,0.00020996775,0.00009553961,0.0002950088],"category_scores_gemma":[0.00017812868,0.00014134994,0.00029913115,0.0004158209,0.00004004178,0.00047390073,0.00003969146,0.00063728786,0.000077719415],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001182034,0.00008684682,0.9629507,0.0000044742424,0.0011032097,1.6109773e-7,0.00028067973,0.00050725526,0.0000034613722,0.033893857,0.00022364683,0.0009338948],"study_design_scores_gemma":[0.0008719011,0.00014559877,0.6179908,0.000023718205,0.0010673956,0.00009968752,0.00217858,0.04148819,0.000030430205,0.32170597,0.013736112,0.00066159724],"about_ca_topic_score_codex":0.00010148378,"about_ca_topic_score_gemma":0.00029835282,"teacher_disagreement_score":0.34495988,"about_ca_system_score_codex":0.0005987932,"about_ca_system_score_gemma":0.00015202783,"threshold_uncertainty_score":0.5764083},"labels":[],"label_agreement":null},{"id":"W1519620327","doi":"","title":"EVIDENCE ON HOUSEHOLD SAVINGS IN ITALY","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Population; Business; Economics; Age structure; Demographic economics; Geography; Demography","score_opus":0.07736388262051287,"score_gpt":0.21182848639094137,"score_spread":0.13446460377042851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1519620327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9138375,0.0022362832,0.0008103345,0.0002629791,0.00037007395,0.00007795834,0.00000290811,0.000027456312,0.082374536],"genre_scores_gemma":[0.9862397,0.012346763,0.00008807604,0.00019729235,0.00013199264,0.0000040372292,4.9458123e-7,0.00003436388,0.0009572901],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975674,0.000018513812,0.0005480664,0.00024435247,0.000029656372,0.0015920176],"domain_scores_gemma":[0.9993477,0.00004598186,0.00029034272,0.00023109467,0.000010666977,0.000074205294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026355651,0.00014963798,0.00028593672,0.00034291824,0.00009355219,0.00006229403,0.00036498666,0.00009465455,0.0001733669],"category_scores_gemma":[0.00014816089,0.00017167749,0.00011886927,0.0001738766,0.00003415338,0.0004430079,0.00003459483,0.0012049156,0.0004704976],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015047983,0.00015618508,0.24017543,0.0000069107114,0.00005495047,0.0000104423125,0.0008708783,0.000046222223,0.000013383118,0.74440646,0.00016205003,0.01394659],"study_design_scores_gemma":[0.00075479737,0.0005169022,0.05368991,0.000097641634,0.000006434466,0.00012657781,0.00057735614,0.00017123285,0.000059292008,0.94150615,0.0020280795,0.00046563064],"about_ca_topic_score_codex":0.000358381,"about_ca_topic_score_gemma":0.0008483791,"teacher_disagreement_score":0.19709967,"about_ca_system_score_codex":0.0011583745,"about_ca_system_score_gemma":0.00025390656,"threshold_uncertainty_score":0.70008045},"labels":[],"label_agreement":null},{"id":"W1519870971","doi":"","title":"The Impact of Oil and Natural Gas Facilities on Rural Residential Property","year":2005,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Amenity; Residential property; Natural gas; Property value; Rural housing; Fossil fuel; Geography; Environmental science; Business; Rural area; Real estate; Engineering; Waste management; Regional science; Medicine","score_opus":0.03258588442727111,"score_gpt":0.28422362607907287,"score_spread":0.25163774165180175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1519870971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76404154,0.0007728593,2.2978368e-7,0.0005317058,0.00055435783,0.00022190336,0.00024444642,0.000021151527,0.23361182],"genre_scores_gemma":[0.920783,0.06342087,0.00006366444,0.00001655839,0.00036651167,0.00008378689,0.000036972426,0.00006811394,0.01516053],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99656796,0.00013722552,0.0013878094,0.00085547054,0.00008130184,0.0009702365],"domain_scores_gemma":[0.9974497,0.00060583465,0.0005692354,0.0011328262,0.00007402291,0.00016836004],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0029144008,0.000435678,0.0009725318,0.00061238965,0.00033043147,0.00044450583,0.0008631015,0.00043421044,0.0001386889],"category_scores_gemma":[0.00065644295,0.00033895965,0.00042648794,0.00009863463,0.00075991027,0.00020024419,0.0009843564,0.001757694,0.000042861095],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001225418,0.00024702778,0.037927862,0.00033910281,0.0005141873,0.000011157259,0.002456299,0.014599918,0.000026090447,0.004770163,0.00058541045,0.93729734],"study_design_scores_gemma":[0.011005558,0.002645718,0.22377563,0.0021515677,0.00005588215,0.00012171416,0.010754615,0.31814167,0.00035789888,0.16562806,0.25759646,0.00776524],"about_ca_topic_score_codex":0.0023872913,"about_ca_topic_score_gemma":0.0012882289,"teacher_disagreement_score":0.9295321,"about_ca_system_score_codex":0.0013850441,"about_ca_system_score_gemma":0.0003520885,"threshold_uncertainty_score":0.99990624},"labels":[],"label_agreement":null},{"id":"W1520276044","doi":"","title":"Characteristics of High-Foreclosure Neighborhoods in the Tenth District","year":2009,"lang":"en","type":"article","venue":"Econometric Reviews","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Foreclosure; Quarter (Canadian coin); Financial crisis; Demographic economics; Economics; Business; Geography; Finance","score_opus":0.03897548901475804,"score_gpt":0.232000980627959,"score_spread":0.19302549161320098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1520276044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72982186,0.021368267,0.00089438213,0.0016928278,0.0010453106,0.0012650855,0.00022958411,0.00003276091,0.24364994],"genre_scores_gemma":[0.9675147,0.03110353,0.00041466518,0.0005527034,0.0001878579,0.000026793214,0.000048708203,0.000016871358,0.00013418504],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99714154,0.000062190295,0.0019557741,0.0004274369,0.000032576394,0.0003804849],"domain_scores_gemma":[0.99787736,0.00015570098,0.0011483125,0.0007306027,0.000016424974,0.000071624556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027227115,0.00024516953,0.0012107897,0.0008063711,0.00006312315,0.000091979404,0.0006709262,0.00011829312,0.000528351],"category_scores_gemma":[0.000607398,0.0002093746,0.0002886819,0.0016804525,0.00004806362,0.0002723096,0.0000356151,0.0002335614,0.0005278775],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025648396,0.00047309994,0.41677588,0.0001495142,0.000031696323,0.000006003282,0.00043503236,0.000020684545,9.061818e-7,0.15884311,0.004844688,0.41839373],"study_design_scores_gemma":[0.0004148252,0.00015111407,0.74414766,0.000032605083,0.000011324834,0.000005062213,0.000019410914,0.0002827033,0.0000029217074,0.013330309,0.2412982,0.00030384635],"about_ca_topic_score_codex":0.00008545665,"about_ca_topic_score_gemma":0.000012374677,"teacher_disagreement_score":0.41808987,"about_ca_system_score_codex":0.00013308821,"about_ca_system_score_gemma":0.000018434921,"threshold_uncertainty_score":0.8538048},"labels":[],"label_agreement":null},{"id":"W1520934863","doi":"10.24148/wp2008-12","title":"Climate Change and Housing Prices: Hedonic Estimates for North American Ski Resorts","year":2009,"lang":"en","type":"article","venue":"Federal Reserve Bank of San Francisco, Working Paper Series","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Snow; Real estate; Climate change; Geography; Precipitation; Census; Land Values; Environmental science; Climatology; Meteorology; Economics; Land use; Population; Finance; Ecology","score_opus":0.043696520721950495,"score_gpt":0.23897634994269498,"score_spread":0.1952798292207445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1520934863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9823968,0.0042559076,0.00020230966,0.0009868894,0.00036929114,0.00053429743,0.000103009115,0.0001051974,0.011046297],"genre_scores_gemma":[0.9878209,0.0023135555,0.00881261,0.00053743896,0.00031452213,0.000052686108,0.000046207177,0.00006150389,0.00004055519],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977239,0.00001467767,0.00084845244,0.00061276066,0.00006016247,0.0007400453],"domain_scores_gemma":[0.99858904,0.00014382372,0.0006814245,0.0004146614,0.00004411981,0.00012690946],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00053059804,0.0003356178,0.00088626076,0.00021933664,0.00047101965,0.00036637543,0.0002763571,0.00009748151,0.00003865119],"category_scores_gemma":[0.00015536454,0.0003808977,0.0001529662,0.00032628514,0.00022003436,0.0007991778,0.000110698275,0.00017101209,0.000011283483],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007191374,0.00011695745,0.88791984,0.0003015103,0.00008734259,0.000009795223,0.0016617755,0.000107738524,0.000059628648,0.015374564,0.0003576758,0.093284026],"study_design_scores_gemma":[0.0010849416,0.0009116887,0.9451029,0.00034327875,0.000028919372,0.000009802925,0.00025867327,0.0014758923,0.00015882625,0.01396454,0.035711974,0.000948581],"about_ca_topic_score_codex":0.00028640986,"about_ca_topic_score_gemma":0.0028880225,"teacher_disagreement_score":0.09233544,"about_ca_system_score_codex":0.00006924593,"about_ca_system_score_gemma":0.000017742635,"threshold_uncertainty_score":0.9998643},"labels":[],"label_agreement":null},{"id":"W1521271506","doi":"","title":"Housing in the Macroeconomy","year":2003,"lang":"en","type":"article","venue":"Canadian parliamentary review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Monetary economics; Keynesian economics","score_opus":0.037158075722033904,"score_gpt":0.2203562602659006,"score_spread":0.18319818454386672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1521271506","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030844338,0.09872575,0.00003630924,0.0065570576,0.00057774596,0.0007873027,0.00006965068,0.00001520139,0.86238664],"genre_scores_gemma":[0.8410561,0.10598516,0.00045310514,0.052029185,0.00009612175,0.00010368955,0.00004006734,0.000043844702,0.00019274275],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987036,0.000050096787,0.0005343675,0.0002800555,0.000013905995,0.00041795272],"domain_scores_gemma":[0.99928975,0.000033033855,0.00012792811,0.00039006656,0.0000050052968,0.0001542121],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012919656,0.00013874733,0.0003598594,0.00014978841,0.000103890896,0.0000704005,0.00027637754,0.000042441363,0.0025089507],"category_scores_gemma":[0.000051019288,0.00014125857,0.0000985731,0.00022977857,0.000037604463,0.00016445633,0.000007821352,0.00014820138,0.0012414686],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035560067,0.00008786809,0.55174935,0.0010918083,0.000082823906,0.00014871356,0.00067162607,0.00003482456,3.42976e-7,0.18562162,0.17421883,0.08628863],"study_design_scores_gemma":[0.0001370294,0.0000080184445,0.0015789483,0.0001663826,0.0000056960475,0.0000149248535,0.00009288842,0.000019645204,6.306991e-7,0.0041347193,0.99365175,0.00018937714],"about_ca_topic_score_codex":0.046955276,"about_ca_topic_score_gemma":0.17606473,"teacher_disagreement_score":0.8621939,"about_ca_system_score_codex":0.0004170024,"about_ca_system_score_gemma":0.0001135134,"threshold_uncertainty_score":0.99953616},"labels":[],"label_agreement":null},{"id":"W1522807269","doi":"10.2139/ssrn.1316891","title":"Subprime Lending and House Price Volatility","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Volatility (finance); House price; Monetary economics; Economics; Business; Subprime crisis; Financial system; Financial economics; Financial crisis; Keynesian economics","score_opus":0.013315581382167761,"score_gpt":0.20251621768492709,"score_spread":0.18920063630275932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1522807269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9577333,0.00357844,0.0070493775,0.0009321842,0.00022364718,0.000076973745,0.000003069492,0.00006421046,0.030338822],"genre_scores_gemma":[0.9909934,0.007901918,0.0001694677,0.00014907088,0.00021743345,6.795988e-7,8.469909e-7,0.000023391625,0.00054383196],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978185,0.000015355861,0.00044755102,0.00026266315,0.00002385679,0.0014320376],"domain_scores_gemma":[0.99941564,0.000027852906,0.00027028087,0.0001699992,0.000015315743,0.00010089864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002225651,0.00013996707,0.00028437303,0.00016423929,0.00022545531,0.0001397775,0.00017474062,0.000085667525,0.000056419747],"category_scores_gemma":[0.00008085639,0.00016274868,0.000086681524,0.00010973273,0.000029976227,0.00038786768,0.000023199584,0.00088321976,0.00008926868],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006849098,0.00009132855,0.11956922,0.0000064143182,0.000085150015,0.000003049372,0.00033154868,0.000017402805,0.000044405788,0.8268332,0.00014943971,0.052800372],"study_design_scores_gemma":[0.0006712984,0.00022649427,0.03665921,0.000007314201,0.000008041905,0.00019533583,0.00014248276,0.0019399115,0.000017451626,0.9496557,0.010169282,0.0003074462],"about_ca_topic_score_codex":0.000043881268,"about_ca_topic_score_gemma":0.00008225597,"teacher_disagreement_score":0.12282255,"about_ca_system_score_codex":0.0006834114,"about_ca_system_score_gemma":0.00018777445,"threshold_uncertainty_score":0.6636699},"labels":[],"label_agreement":null},{"id":"W1523931246","doi":"10.1108/eum0000000006188","title":"Crossing the great divide?","year":2001,"lang":"en","type":"article","venue":"Journal of Property Investment and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Publication; Publishing; Ranking (information retrieval); Real estate; Political science; Library science; Reading (process); Estate; Geography; Regional science; Law","score_opus":0.04754215619143546,"score_gpt":0.2156506733763104,"score_spread":0.16810851718487493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1523931246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90723073,0.0065237246,0.00067955477,0.005847635,0.00066158234,0.00012983324,0.0000046562213,0.0000086214,0.07891364],"genre_scores_gemma":[0.9812009,0.009439334,0.00086213823,0.0017844961,0.00036095965,0.0000035485184,5.190397e-7,0.000017271694,0.006330867],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990473,0.000013212758,0.00056980987,0.00013889864,0.00003031159,0.00020047577],"domain_scores_gemma":[0.99921733,0.000029069404,0.000517384,0.0001612964,0.000031929772,0.00004299119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007503423,0.00011362219,0.00028885444,0.00007617801,0.0002797805,0.00025451966,0.00019641804,0.00005109972,0.000047909256],"category_scores_gemma":[0.00006817552,0.000065774744,0.000090347065,0.00010377653,0.00018366352,0.0003911461,0.00004884676,0.00016776774,0.000039791434],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004445806,0.00038289969,0.48080498,0.0000816751,0.00027713706,0.00018492706,0.0058870306,0.00059793965,0.00013923658,0.24181424,0.056694265,0.2126911],"study_design_scores_gemma":[0.00052629254,0.00012689059,0.015354937,0.00004161826,0.000008561753,0.0001646064,0.00003200056,0.0012818839,0.00003108461,0.048118256,0.9341615,0.00015235969],"about_ca_topic_score_codex":0.000042270312,"about_ca_topic_score_gemma":0.000010812837,"teacher_disagreement_score":0.8774673,"about_ca_system_score_codex":0.000060207793,"about_ca_system_score_gemma":0.000032791973,"threshold_uncertainty_score":0.26822165},"labels":[],"label_agreement":null},{"id":"W1524170490","doi":"","title":"On the New Town’s Rise and Fall and Location Choice Based on Alonso Model: A Case Study of Pukou University Town of Nanjing","year":2015,"lang":"en","type":"article","venue":"Canadian social science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bidding; Urbanization; Order (exchange); Business; Economics; Computer science; Operations research; Economic growth; Marketing; Finance; Engineering","score_opus":0.04763131388443338,"score_gpt":0.22059637239200228,"score_spread":0.17296505850756888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1524170490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95848507,0.000015741081,0.00009656277,0.00038450793,0.000049669154,0.00012580515,0.00002246036,0.0000028830239,0.040817298],"genre_scores_gemma":[0.9997524,0.00000356796,0.00003343536,0.00010113857,0.000015453836,4.0602626e-7,2.838937e-7,0.0000032843932,0.000090030495],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995027,0.000011761275,0.0001224654,0.00018865563,0.000030365092,0.0001440535],"domain_scores_gemma":[0.9994663,0.000055221677,0.00011053671,0.00011680859,0.000047658476,0.00020347584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000674787,0.000054168777,0.0001227676,0.00017327018,0.00024375146,0.000036393747,0.00013626684,0.000032895732,0.000006907386],"category_scores_gemma":[0.0001606981,0.0000581317,0.000010389618,0.00032554407,0.00019721068,0.0001313263,0.000022107866,0.000052939704,0.0000011088073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001852585,0.00044229298,0.57877976,0.000051565243,0.00005502823,0.00012035449,0.08189846,0.01877803,0.000020944153,0.27323458,0.0075222985,0.038911402],"study_design_scores_gemma":[0.0048258803,0.0011127389,0.045573246,0.00006293605,0.00005129966,0.000017032871,0.061943762,0.86096936,0.000035575536,0.00904719,0.015314728,0.001046242],"about_ca_topic_score_codex":0.1877904,"about_ca_topic_score_gemma":0.14769574,"teacher_disagreement_score":0.84219134,"about_ca_system_score_codex":0.00029001693,"about_ca_system_score_gemma":0.000430571,"threshold_uncertainty_score":0.8678566},"labels":[],"label_agreement":null},{"id":"W1525431705","doi":"10.3968/j.css.1923669720120801.1130","title":"Study on Impact of House Prices on the Level of the Residents’ Consumption: Based on the Analysis of Liaoning Province","year":2012,"lang":"en","type":"article","venue":"Canadian social science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cointegration; Error correction model; Economy; Humanities; Political science; Welfare economics; Economics; Art","score_opus":0.14163494896383522,"score_gpt":0.289606587489328,"score_spread":0.14797163852549278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1525431705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9729976,0.000011043781,0.0000065786508,0.0003894578,0.00012430377,0.00023846971,0.0001450968,0.0000029477442,0.026084473],"genre_scores_gemma":[0.9996972,0.000003847398,0.0000050509075,0.00020604239,0.000033979213,0.0000052925857,3.588011e-7,0.0000071550544,0.00004106693],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990825,0.000047330002,0.00031244973,0.00017631866,0.00009581732,0.00028556795],"domain_scores_gemma":[0.99873954,0.0002675068,0.00047665776,0.00039157923,0.00003830589,0.00008639776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002353379,0.00008694,0.00024161006,0.00030856006,0.00043928035,0.000046260782,0.0006497729,0.0000368058,0.000111324385],"category_scores_gemma":[0.00040406,0.000054445896,0.00016534308,0.0010122822,0.0004956969,0.00010825638,0.00003208886,0.000107947526,0.00001319583],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010839387,0.00006868713,0.97397536,0.0000028545235,0.000064111744,1.2193888e-7,0.002288519,0.00034833158,0.000011458093,0.022839995,0.00016921542,0.00022053267],"study_design_scores_gemma":[0.00007781954,0.0000575797,0.99807763,0.00000977614,0.000025520876,2.9142498e-8,0.0006885127,0.00074595085,0.00008950158,0.00009004972,0.000071113805,0.00006649034],"about_ca_topic_score_codex":0.022513654,"about_ca_topic_score_gemma":0.018346334,"teacher_disagreement_score":0.026699578,"about_ca_system_score_codex":0.00046527092,"about_ca_system_score_gemma":0.00036065077,"threshold_uncertainty_score":0.9995663},"labels":[],"label_agreement":null},{"id":"W1526204994","doi":"10.2139/ssrn.1719864","title":"The Housing Problem and Revealed Preference Theory: Duality and an Application","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Duality (order theory); Preference; Mathematical economics; Revealed preference; Mathematics; Econometrics; Pure mathematics; Statistics","score_opus":0.023456661225805753,"score_gpt":0.22804316078999304,"score_spread":0.20458649956418729,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1526204994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9698596,0.0069404487,0.011893844,0.00043461152,0.00010419648,0.00016321399,0.00000335535,0.000020727037,0.010580021],"genre_scores_gemma":[0.98603505,0.013234592,0.00021615798,0.00004621427,0.00023864685,0.000007991092,0.0000016714619,0.000016830514,0.00020287516],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99840146,0.000057835565,0.00031659333,0.00017183268,0.000019373774,0.0010328934],"domain_scores_gemma":[0.9993739,0.00006719991,0.0002796104,0.00016712098,0.000015284582,0.0000968538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063986406,0.00010090588,0.00016001309,0.00004715028,0.00049082766,0.0001699025,0.00012619149,0.00006027545,0.000005113028],"category_scores_gemma":[0.000048221922,0.000087131455,0.000025993379,0.000057919722,0.00007451928,0.00046890823,0.000038882496,0.00050956575,0.00001297626],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026858957,0.000019950978,0.06981969,0.0000046094806,0.000026533544,3.6121204e-8,0.00033014984,0.000001743303,0.000008754513,0.8624996,0.000005738776,0.06725636],"study_design_scores_gemma":[0.00024877719,0.00005829515,0.015916167,0.0000039623237,0.000008539877,0.00005432386,0.0005164928,0.000401134,0.00000395683,0.9772224,0.0054232357,0.0001427568],"about_ca_topic_score_codex":0.00004726562,"about_ca_topic_score_gemma":0.00032880544,"teacher_disagreement_score":0.11472279,"about_ca_system_score_codex":0.00023197621,"about_ca_system_score_gemma":0.0000846321,"threshold_uncertainty_score":0.37750992},"labels":[],"label_agreement":null},{"id":"W1528185433","doi":"10.3968/4360","title":"Financial Geography in Xikang Region During the Late Qing and the Republic of China Era","year":2014,"lang":"en","type":"article","venue":"Canadian social science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Modernization theory; Currency; Promotion (chess); Maturity (psychological); Geography; Economy; Political science; Finance; Business; Economic growth; Economics","score_opus":0.008304149792171001,"score_gpt":0.1697577835862044,"score_spread":0.1614536337940334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1528185433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89386386,0.0000730724,0.000018612127,0.0016626262,0.00017430488,0.00008397719,0.0000041944204,0.000004260919,0.1041151],"genre_scores_gemma":[0.9995057,0.00006539783,0.000011952475,0.00024953167,0.00009493586,0.0000046968953,3.0072812e-7,0.0000049075675,0.00006255693],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99922127,0.000020275667,0.00023369998,0.00018330327,0.000024697667,0.00031677596],"domain_scores_gemma":[0.9995879,0.000035117035,0.00014772224,0.0001493774,0.000013256879,0.00006662362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018268394,0.00006164525,0.00016607279,0.00024743224,0.00063238683,0.00012084221,0.00031575802,0.00004488068,0.000010043096],"category_scores_gemma":[0.0002949329,0.000051967632,0.000046791854,0.0005770805,0.0008187952,0.000202699,0.000043900553,0.00012696953,0.000003243995],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000113138785,0.0000040147956,0.47852486,0.000010992018,0.0000030383846,0.0000010067085,0.003918237,0.000016074035,0.000005076776,0.5062556,0.00006645491,0.011183323],"study_design_scores_gemma":[0.00035827098,0.000005145684,0.9686828,0.0000070672418,0.0000011928237,0.0000013733966,0.00013249087,0.0013801843,0.000004295308,0.023088554,0.0062356964,0.000102898004],"about_ca_topic_score_codex":0.028587276,"about_ca_topic_score_gemma":0.023773378,"teacher_disagreement_score":0.490158,"about_ca_system_score_codex":0.00012838855,"about_ca_system_score_gemma":0.000088904635,"threshold_uncertainty_score":0.9940402},"labels":[],"label_agreement":null},{"id":"W1528439944","doi":"10.3917/redp.253.0317","title":"Le capital logement contribue-t-il aux inégalités? :Retour sur le capital au XXIe siècle de Thomas Piketty","year":2014,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Capital (architecture); Economics; Political science; Art","score_opus":0.019657372820419385,"score_gpt":0.2050478696546884,"score_spread":0.18539049683426903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1528439944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7394126,0.0023320315,0.05485705,0.025768198,0.0015006426,0.00071799033,0.0006588217,0.0001909476,0.17456171],"genre_scores_gemma":[0.9635912,0.0025644638,0.008912291,0.00031735323,0.00022126325,0.00011948324,0.0009450359,0.00016603337,0.023162887],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9919642,0.0025162874,0.0019769035,0.0017665258,0.00018835162,0.0015877344],"domain_scores_gemma":[0.9919255,0.0014421397,0.0019050189,0.0030277534,0.0011465282,0.0005530586],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.014303115,0.00080077106,0.001429267,0.00039129425,0.0013942801,0.0011237751,0.0021228138,0.00087617466,0.00041976344],"category_scores_gemma":[0.0024582432,0.0011694417,0.00075028697,0.00033923337,0.00079743954,0.0005176471,0.002046766,0.0011289521,0.0006870657],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005357672,0.0017288267,0.09168194,0.0003791336,0.0003935795,0.000013193036,0.012338739,0.00088819687,0.0002184209,0.86779374,0.003919988,0.020590678],"study_design_scores_gemma":[0.0062793978,0.000009428299,0.15125503,0.0019651428,0.00018385255,0.000057984114,0.0021053369,0.10176433,0.010939435,0.087600105,0.6340154,0.0038245607],"about_ca_topic_score_codex":0.054066077,"about_ca_topic_score_gemma":0.050802585,"teacher_disagreement_score":0.7801936,"about_ca_system_score_codex":0.0013094242,"about_ca_system_score_gemma":0.00208419,"threshold_uncertainty_score":0.99991316},"labels":[],"label_agreement":null},{"id":"W1528978702","doi":"","title":"Residential Property Price Indexes for Japan: An Outline of the Japanese Official RPPI","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Depreciation (economics); Residential property; Order (exchange); Economics; Context (archaeology); Quality (philosophy); Price index; House price; Property market; Property (philosophy); Econometrics; Microeconomics; Real estate; Finance; Geography; Economic geography","score_opus":0.047631388102186444,"score_gpt":0.28770624546326967,"score_spread":0.24007485736108322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1528978702","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.888863,0.00011287939,0.00003552554,0.0006039701,0.0022504367,0.0022182085,0.0004960262,0.000046842415,0.105373114],"genre_scores_gemma":[0.9924539,0.0015610494,0.0005343279,0.00010883329,0.0011029836,0.00032966066,0.000104600505,0.0001660592,0.0036385967],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99492025,0.00022333057,0.0021449393,0.0015134169,0.000116382354,0.0010816656],"domain_scores_gemma":[0.99575716,0.00047778364,0.0012355279,0.0021320947,0.0001783498,0.00021910747],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006007298,0.0004972175,0.0014425887,0.0007423544,0.0003128694,0.0002875756,0.0020654493,0.00089590845,0.00014321605],"category_scores_gemma":[0.001550726,0.00044588355,0.0005481352,0.00019741704,0.0005633619,0.00024226852,0.0015093973,0.0015052345,0.000022774791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0062928963,0.005439002,0.3295211,0.007242297,0.0021542078,0.000016686095,0.023552436,0.21417288,0.00048976333,0.03704977,0.0033582097,0.37071076],"study_design_scores_gemma":[0.010682457,0.0017944302,0.087066315,0.0013372339,0.00013042355,0.000032781903,0.003542201,0.44684964,0.0010650469,0.104409225,0.33709446,0.005995792],"about_ca_topic_score_codex":0.0011020787,"about_ca_topic_score_gemma":0.0021745716,"teacher_disagreement_score":0.36471495,"about_ca_system_score_codex":0.000878851,"about_ca_system_score_gemma":0.0005499971,"threshold_uncertainty_score":0.9997993},"labels":[],"label_agreement":null},{"id":"W1529689379","doi":"10.7202/601273ar","title":"Élasticité de la demande de logement au Canada","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Welfare economics; Metropolitan area; Estimation; Economics; Geography; Humanities; Economy; Econometrics; Art; Archaeology","score_opus":0.018366158039232926,"score_gpt":0.21010579961257506,"score_spread":0.19173964157334214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1529689379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77781177,0.0012323895,0.0061777546,0.008766733,0.0017823321,0.0002451689,0.0002690429,0.000048654816,0.20366614],"genre_scores_gemma":[0.9805721,0.002183814,0.0023333938,0.0070916484,0.0011942068,0.000021940497,0.000030999403,0.00006107809,0.0065108105],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967482,0.0001649421,0.0011074794,0.0006569726,0.000022081886,0.0013003377],"domain_scores_gemma":[0.9977965,0.00068846135,0.00051967014,0.0005342985,0.000025589094,0.00043552494],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020282173,0.00043053651,0.00081996404,0.00016033655,0.00023191726,0.00026058502,0.0004793807,0.0005155398,0.001148023],"category_scores_gemma":[0.0004541007,0.0006346161,0.00022103215,0.00012794891,0.00016936228,0.00029639713,0.0000842795,0.0004766925,0.00019569467],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001287286,0.00040721917,0.11774864,0.00018606705,0.00027961482,0.00011180989,0.002416061,0.009985753,0.000037015823,0.76263404,0.023271916,0.08279315],"study_design_scores_gemma":[0.0010506724,0.00014139111,0.120482944,0.00010820149,0.000047548223,0.000074846124,0.00018656961,0.014114525,0.0004067337,0.0873825,0.77506715,0.0009369079],"about_ca_topic_score_codex":0.54274255,"about_ca_topic_score_gemma":0.5040726,"teacher_disagreement_score":0.75179523,"about_ca_system_score_codex":0.006077599,"about_ca_system_score_gemma":0.0020975363,"threshold_uncertainty_score":0.99976504},"labels":[],"label_agreement":null},{"id":"W1532650685","doi":"10.3386/w18069","title":"Estimating Racial Price Differentials in the Housing Market","year":2012,"lang":"en","type":"article","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; National Science Foundation","keywords":"Metropolitan area; Race (biology); Racial composition; Panel Study of Income Dynamics; Quality (philosophy); Racial differences; Demographic economics; Persistence (discontinuity); Prejudice (legal term); Panel data; Economics; Geography; Econometrics; Ethnic group; Political science; Sociology","score_opus":0.27892516882286317,"score_gpt":0.43605466718247327,"score_spread":0.1571294983596101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1532650685","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3762176,0.00026031106,0.00016273504,0.00058433315,0.0005196542,0.00026839113,0.000021476166,0.000009331653,0.62195617],"genre_scores_gemma":[0.997444,0.000057627836,0.0012965726,0.0000642458,0.0008282506,0.000039535367,0.000019734136,0.000022083239,0.00022798842],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99807787,0.00013668844,0.00081791746,0.00027837823,0.000117408985,0.0005717582],"domain_scores_gemma":[0.99832284,0.001008237,0.00029139998,0.0002438842,0.00006339391,0.00007021294],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.010644984,0.0001242415,0.00033930922,0.0005969509,0.00017751115,0.000117445874,0.0004843044,0.00011957021,0.0010784247],"category_scores_gemma":[0.000852825,0.0001260734,0.00010020747,0.00023042157,0.00014015008,0.0005031431,0.00011329977,0.00033576082,0.0003785143],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052776246,0.00018596044,0.12723112,0.00004179733,0.00003355184,5.6860625e-7,0.0013580655,0.0007013522,0.00001859935,0.86448526,0.0044396366,0.0014513002],"study_design_scores_gemma":[0.00092649076,0.000046597863,0.07510374,0.000035810346,0.0000035046144,0.0000072245325,0.00030729896,0.044618737,0.000053955195,0.8711599,0.007393478,0.00034328332],"about_ca_topic_score_codex":0.0003371338,"about_ca_topic_score_gemma":0.00007250376,"teacher_disagreement_score":0.6217282,"about_ca_system_score_codex":0.00050551613,"about_ca_system_score_gemma":0.000090640446,"threshold_uncertainty_score":0.9998347},"labels":[],"label_agreement":null},{"id":"W1532910917","doi":"","title":"A Synthetic Cohort Analysis of Canadian Housing Careers","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cohort; Cohort effect; Cohort study; Demographic economics; Econometrics; Psychology; Gerontology; Economics; Medicine; Statistics; Mathematics","score_opus":0.04275327403857714,"score_gpt":0.26543191571856783,"score_spread":0.22267864167999069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1532910917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51937246,0.0002621134,0.0000075674257,0.00014241357,0.0005951477,0.00049823255,0.00054157537,0.000019237757,0.47856122],"genre_scores_gemma":[0.98161006,0.016472042,0.00059457927,0.0000873456,0.000077515215,0.00011380117,0.0001812469,0.00012527099,0.00073816685],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9947779,0.00015736945,0.0019513619,0.0016266411,0.000090568035,0.0013961139],"domain_scores_gemma":[0.9963435,0.00033455217,0.0007683653,0.0019269635,0.00011549518,0.0005111339],"candidate_categories":["metaepi_narrow","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.005061917,0.00047786123,0.0021226027,0.01144814,0.00019842605,0.00023549417,0.001017133,0.00084508775,0.00067670376],"category_scores_gemma":[0.0006993713,0.0006880678,0.00073566684,0.0016642237,0.0004114431,0.00012927147,0.00045270348,0.001439638,0.000049075225],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050294966,0.00016897316,0.86016864,0.00024722487,0.0033255985,0.000043161366,0.0008819365,0.10227494,0.00000509836,0.010106014,0.00014730905,0.022580838],"study_design_scores_gemma":[0.0024309463,0.0002559661,0.42332432,0.0007005978,0.0011252989,0.000016748629,0.0025450187,0.29626715,0.00011477856,0.030962786,0.23625255,0.006003863],"about_ca_topic_score_codex":0.10461711,"about_ca_topic_score_gemma":0.2468499,"teacher_disagreement_score":0.47782308,"about_ca_system_score_codex":0.0033722064,"about_ca_system_score_gemma":0.0009695775,"threshold_uncertainty_score":0.9997563},"labels":[],"label_agreement":null},{"id":"W1533069450","doi":"","title":"A Longitudinal Study of the Residential Mobility of the Elderly in Canada","year":2002,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Asset (computer security); Estimator; Panel Study of Income Dynamics; Consumption (sociology); Longitudinal data; Longitudinal study; Panel data; Economics; Variable (mathematics); Demographic economics; Econometrics; Survey data collection; Business; Statistics; Demography; Computer science; Sociology; Mathematics","score_opus":0.05573465763713064,"score_gpt":0.2728734357930885,"score_spread":0.21713877815595783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1533069450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94272816,0.00011226207,3.8703652e-7,0.00020205669,0.0010542946,0.0012530446,0.00016631087,0.000004052301,0.054479413],"genre_scores_gemma":[0.9979266,0.0012515261,0.000021138834,0.000012343195,0.00007267117,0.00010287291,0.0000027013475,0.000044226927,0.0005659123],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99578947,0.00029847646,0.0021208737,0.0009726238,0.0001406604,0.000677909],"domain_scores_gemma":[0.9961496,0.00039978133,0.0010584964,0.0022379467,0.00007134327,0.00008281373],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0029990878,0.00030562675,0.0010985866,0.00039781723,0.00013196176,0.000064646985,0.0019573756,0.0002775475,0.0002252121],"category_scores_gemma":[0.0006450608,0.0002840389,0.00027956977,0.0003535915,0.000321121,0.00008969763,0.0019652077,0.0016961438,0.0000030327021],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067076144,0.0004912908,0.9716668,0.00017260251,0.00008502829,0.000004808469,0.0007131341,0.01918538,0.0000015086774,0.0003663287,0.00006662325,0.0071794293],"study_design_scores_gemma":[0.0010666666,0.00011399672,0.9830642,0.00015009244,0.000007977568,0.0000022862278,0.0014093759,0.007527696,0.000029126084,0.0050912467,0.0011839649,0.00035341378],"about_ca_topic_score_codex":0.7205422,"about_ca_topic_score_gemma":0.9530082,"teacher_disagreement_score":0.232466,"about_ca_system_score_codex":0.003082789,"about_ca_system_score_gemma":0.0014266608,"threshold_uncertainty_score":0.9999612},"labels":[],"label_agreement":null},{"id":"W1533645879","doi":"","title":"EXTRACTING THE LAND VALUE OUT OF THE VALUES OF IMPROVED PROPERTIES","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Real estate; Value (mathematics); Economics; Apportionment; Market price; Land price; Economic shortage; Land use; Empirical research; Property (philosophy); Market value; Microeconomics; Agricultural economics; Geography; Mathematics; Law; Finance","score_opus":0.058816197763075076,"score_gpt":0.275136138087986,"score_spread":0.21631994032491092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1533645879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7821055,0.0005990694,0.000007542954,0.0004599162,0.0012037614,0.00084157236,0.00014210907,0.000016082648,0.21462442],"genre_scores_gemma":[0.99382156,0.0036319033,0.00028695966,0.000033401415,0.00027817476,0.0000909053,0.000012111596,0.00008037356,0.0017646054],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964695,0.000193587,0.0018161063,0.00076743035,0.00008232705,0.0006710705],"domain_scores_gemma":[0.9963131,0.00053123507,0.0013844621,0.0016134194,0.00009586997,0.00006189942],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004723065,0.00033234197,0.0009939949,0.00035828797,0.00022418823,0.00014460579,0.0014960315,0.00044004136,0.00004326939],"category_scores_gemma":[0.00087071623,0.00026370975,0.00044346042,0.00013393938,0.00074088376,0.00013251955,0.0014018179,0.001456079,0.000009348328],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045299527,0.00087171426,0.7572112,0.002124049,0.00077667757,0.000004887228,0.0058954186,0.094379425,0.0007763641,0.009012935,0.00037649774,0.12811783],"study_design_scores_gemma":[0.004549294,0.00045114788,0.29865,0.0024945838,0.00012010808,0.000019569885,0.0033083914,0.45308495,0.0073330156,0.15947287,0.066835664,0.0036804092],"about_ca_topic_score_codex":0.0017720801,"about_ca_topic_score_gemma":0.0008637346,"teacher_disagreement_score":0.4585612,"about_ca_system_score_codex":0.00051965873,"about_ca_system_score_gemma":0.00034219297,"threshold_uncertainty_score":0.9999815},"labels":[],"label_agreement":null},{"id":"W1534296997","doi":"10.1002/9781444301021.ch6","title":"Mass Appraisal, Hedonic Price Modelling and Urban Externalities: Understanding Property Value Shaping Processes","year":2008,"lang":"en","type":"other","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Externality; Hedonic pricing; Context (archaeology); Residential property; Economics; Property (philosophy); Value (mathematics); Hedonic index; Property value; Microeconomics; Hedonic regression; Public economics; Economic geography; Econometrics; Geography; Computer science; Price index; Epistemology","score_opus":0.11887269429646458,"score_gpt":0.23596836619761188,"score_spread":0.11709567190114731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1534296997","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00010244092,0.005917055,0.19411069,0.000085017535,0.00046574223,0.00029349705,0.00005212068,0.00024236632,0.7987311],"genre_scores_gemma":[0.030169543,0.05704917,0.013238535,0.00031133535,0.0012200945,0.00006114696,0.00004584731,0.0013128329,0.8965915],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978167,0.000015085267,0.0006949636,0.0008722524,0.000049452876,0.00055158476],"domain_scores_gemma":[0.9987569,0.00010702022,0.0005990199,0.00037971424,0.000015378708,0.00014198275],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003668978,0.0004583795,0.00083870924,0.0005026618,0.00018962701,0.00028525712,0.00030260792,0.00038949228,0.001247667],"category_scores_gemma":[0.00006874625,0.00043645804,0.00010385168,0.00018900975,0.00014419974,0.00026772087,0.00009200967,0.0002762934,0.00019865396],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010220725,0.00026395678,0.018967003,0.008006397,0.0011454272,0.00005774798,0.005383214,0.0074109333,0.0000025010224,0.4882371,0.46990108,0.0005224192],"study_design_scores_gemma":[0.00057752046,0.000045077373,0.0000040822392,0.0005612736,0.000019814506,0.000024879291,0.0004144071,0.066843,0.0000027865888,0.017868605,0.9123938,0.0012447345],"about_ca_topic_score_codex":0.001020015,"about_ca_topic_score_gemma":0.00006495624,"teacher_disagreement_score":0.4703685,"about_ca_system_score_codex":0.00031805172,"about_ca_system_score_gemma":0.000112060756,"threshold_uncertainty_score":0.9998087},"labels":[],"label_agreement":null},{"id":"W1535137439","doi":"10.2139/ssrn.2581622","title":"Do State Regulations Affect Payday Lender Concentration?","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Affect (linguistics); Business; State (computer science); Psychology; Computer science","score_opus":0.028776173232389617,"score_gpt":0.23453823894521045,"score_spread":0.20576206571282082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1535137439","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8157963,0.004937437,0.04267697,0.0019124234,0.0015699861,0.00025463355,0.000027126893,0.00008537257,0.13273975],"genre_scores_gemma":[0.99388534,0.002637519,0.00016363463,0.000090078334,0.00031213663,0.0000043003533,0.000008225743,0.000030861433,0.0028679143],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977572,0.00003590098,0.0005112345,0.00024516313,0.00004381941,0.0014066818],"domain_scores_gemma":[0.9992216,0.0000332148,0.00031874335,0.00021261779,0.000053512686,0.00016028735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002793124,0.00014382528,0.0002626218,0.00011901748,0.00018122203,0.00019911022,0.00020179956,0.00007134888,0.00011394372],"category_scores_gemma":[0.000107635016,0.0001602142,0.000114015114,0.00014844563,0.00004336533,0.00045305295,0.000025668716,0.00069417123,0.0004957417],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057872585,0.00007607094,0.083518706,0.000004055959,0.0001833183,0.0000026375785,0.0008502457,0.0019534728,0.000006933526,0.89921886,0.0021165663,0.012011253],"study_design_scores_gemma":[0.0010978784,0.00014593061,0.0027502875,0.000005678613,0.000008740158,0.00010317016,0.00049894006,0.0019055848,0.000011970298,0.966786,0.026408898,0.00027690924],"about_ca_topic_score_codex":0.00006084037,"about_ca_topic_score_gemma":0.0002554435,"teacher_disagreement_score":0.17808904,"about_ca_system_score_codex":0.0012808217,"about_ca_system_score_gemma":0.0007892106,"threshold_uncertainty_score":0.6533345},"labels":[],"label_agreement":null},{"id":"W1537081261","doi":"","title":"Fund Flows and Commercial Real Estate Investment: Evidence from theCommercial Mortgage Market","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Real estate; Monetary economics; Umbrella fund; Business; Finance; Return of capital; Quarter (Canadian coin); Real estate investment trust; Closed-end fund; Investment fund; Economics; Return on investment; Financial system; Investment performance; Open-ended investment company; Microeconomics; Market liquidity","score_opus":0.028677661312442603,"score_gpt":0.22636482152102083,"score_spread":0.19768716020857824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1537081261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8705406,0.0018208082,0.0007167604,0.0007978368,0.00049021584,0.00012705909,0.000049914222,0.000034391345,0.12542242],"genre_scores_gemma":[0.9335459,0.06379973,0.00037258957,0.00020497439,0.0010204106,0.0000069219313,0.000020268008,0.000051805746,0.0009774326],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996968,0.00007361216,0.0007829302,0.00041988996,0.000052931675,0.0017026367],"domain_scores_gemma":[0.9989691,0.00016004484,0.00045277414,0.0002679596,0.000022268061,0.00012788628],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024853314,0.00026200095,0.0004789487,0.00019572706,0.00038455782,0.00027310193,0.00032795046,0.00013956345,0.00032306722],"category_scores_gemma":[0.000059512327,0.00029834322,0.00014534211,0.00012591075,0.00008777749,0.00059467665,0.000094317285,0.0011184888,0.000115466246],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068850646,0.0003154289,0.5706671,0.000025778161,0.00040433704,0.000036007656,0.0012746147,0.00021461662,0.00009875711,0.24676877,0.0067219967,0.17278408],"study_design_scores_gemma":[0.0016361398,0.0002454107,0.20730625,0.00004374514,0.000049260903,0.000106753,0.00032688692,0.0050757024,0.000011396126,0.7468983,0.037558213,0.00074196205],"about_ca_topic_score_codex":0.01030348,"about_ca_topic_score_gemma":0.023537472,"teacher_disagreement_score":0.5001295,"about_ca_system_score_codex":0.0008245647,"about_ca_system_score_gemma":0.0002876688,"threshold_uncertainty_score":0.9999469},"labels":[],"label_agreement":null},{"id":"W1539231819","doi":"","title":"Environmental Information Disclosure of Listed Company Study on the Cost of Debt Capital Empirical Data: Based on Thermal Power Industry","year":2014,"lang":"en","type":"article","venue":"Canadian social science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cost of capital; Weighted average cost of capital; Business; Debt; Finance; Debt financing; Debt ratio; Accounting; Capital (architecture); Capital structure; Economic capital; Economics; Economic growth; Human capital; Individual capital","score_opus":0.04128769587029822,"score_gpt":0.23932385133535267,"score_spread":0.19803615546505443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1539231819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89651126,0.0000013666192,0.00001813562,0.0004051897,0.00015593792,0.00018056305,0.00041736866,0.0000031020277,0.1023071],"genre_scores_gemma":[0.99934924,3.7680894e-7,0.000006108102,0.0005720149,0.000036721533,0.0000034417212,0.000018229297,0.000004930946,0.000008933958],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991836,0.000025804,0.00031121034,0.00018032631,0.000073278556,0.00022575885],"domain_scores_gemma":[0.9992437,0.00006410411,0.00022253099,0.00033714346,0.000010471928,0.00012207846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010860668,0.00008070247,0.0001782432,0.00014913159,0.00025407542,0.000059027247,0.0005832673,0.00008399913,0.00016695501],"category_scores_gemma":[0.00013671594,0.00007408895,0.00003140267,0.00020330687,0.00041691482,0.0003096281,0.000050835533,0.00017519713,0.000049120274],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021630585,0.00015367013,0.97854525,0.0000036660003,0.000011199247,4.5878355e-7,0.0041686078,0.0001672648,0.00001641099,0.01216769,0.00080401386,0.003940153],"study_design_scores_gemma":[0.00028664107,0.000119361524,0.98700285,0.0000042689603,0.0000028874322,1.04983954e-7,0.0023639083,0.0050214203,0.000017664977,0.0000747206,0.004984961,0.00012119578],"about_ca_topic_score_codex":0.0023042837,"about_ca_topic_score_gemma":0.001493285,"teacher_disagreement_score":0.10283801,"about_ca_system_score_codex":0.00026162562,"about_ca_system_score_gemma":0.00013686145,"threshold_uncertainty_score":0.3483403},"labels":[],"label_agreement":null},{"id":"W1539510389","doi":"","title":"First Time Underwater: The Impact of the First-time Homebuyer Tax Credit","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tax credit; Business; Stimulus (psychology); Quarter (Canadian coin); Creditor; Deflation; Monetary economics; Economics; Finance; Debt; Monetary policy; Public economics","score_opus":0.03444254312236479,"score_gpt":0.2686532900531094,"score_spread":0.23421074693074462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1539510389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6518707,0.00060329883,0.00000535125,0.0022046005,0.0013217987,0.0015408309,0.00093769724,0.00005211397,0.3414636],"genre_scores_gemma":[0.98455316,0.0069009257,0.000114578936,0.00008473424,0.0008418879,0.00018825907,0.0000633297,0.00019126646,0.0070618587],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9952254,0.0001634171,0.0018048915,0.0011490748,0.00012011852,0.0015370785],"domain_scores_gemma":[0.9947847,0.0008772226,0.0011596454,0.002839419,0.000090061694,0.00024894578],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0049325833,0.0006378375,0.0014329546,0.0006145109,0.0005342609,0.00036765792,0.0026790588,0.00083810306,0.002639446],"category_scores_gemma":[0.0004967023,0.00050745666,0.0010955193,0.00029886558,0.00083322,0.00028656362,0.0027799574,0.0020996516,0.000995741],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00093765545,0.002223351,0.6232276,0.0013427917,0.003558302,0.000022808183,0.007978939,0.28072882,0.00006048023,0.0060624285,0.032670446,0.041186377],"study_design_scores_gemma":[0.0033008445,0.00039861025,0.31308162,0.0008216966,0.00008550708,0.000054577242,0.00035027927,0.21748191,0.00014058844,0.062988654,0.3976471,0.003648618],"about_ca_topic_score_codex":0.0016231923,"about_ca_topic_score_gemma":0.00060463365,"teacher_disagreement_score":0.36497667,"about_ca_system_score_codex":0.0025004838,"about_ca_system_score_gemma":0.00042435311,"threshold_uncertainty_score":0.9997821},"labels":[],"label_agreement":null},{"id":"W1541279108","doi":"10.3386/w20254","title":"The Agglomeration of Bankruptcy","year":2014,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Science Foundation","keywords":"Bankruptcy; Economies of agglomeration; Business; Economics; Economic geography; Microeconomics; Finance","score_opus":0.38502215012278174,"score_gpt":0.46846464758821443,"score_spread":0.0834424974654327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1541279108","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026071682,0.0016208116,0.000040650964,0.0007657629,0.001466978,0.0003864888,0.00017700442,0.000010984606,0.99292415],"genre_scores_gemma":[0.97260463,0.012477345,0.00017799203,0.000018738201,0.0015140553,0.000079199686,0.00033021596,0.00008111621,0.01271669],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965158,0.00009959509,0.0020236254,0.00056185987,0.00033911155,0.00046002233],"domain_scores_gemma":[0.99510795,0.0015560996,0.00157062,0.0006171969,0.0010626774,0.00008548572],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.016504895,0.00022363965,0.00086309476,0.0008312271,0.0002713596,0.00012499512,0.0008298614,0.00044578605,0.0006998359],"category_scores_gemma":[0.0026801617,0.00022686065,0.00033417254,0.00017333358,0.00046880762,0.0001720396,0.0001908823,0.00060462055,0.0007983458],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041946463,0.000045941713,0.002733495,0.00016170695,0.00018275318,2.554613e-7,0.00004957682,0.0003794927,0.000006191791,0.909872,0.081907086,0.0046195607],"study_design_scores_gemma":[0.00028497932,0.00007996769,0.00081353216,0.000051672097,0.0000053562467,0.000004079304,0.00002013539,0.0021733812,0.00005792892,0.6397348,0.35656112,0.0002130075],"about_ca_topic_score_codex":0.0020153506,"about_ca_topic_score_gemma":0.00039546186,"teacher_disagreement_score":0.98020744,"about_ca_system_score_codex":0.0015231267,"about_ca_system_score_gemma":0.0015291438,"threshold_uncertainty_score":0.9999797},"labels":[],"label_agreement":null},{"id":"W1542789622","doi":"10.2139/ssrn.1102396","title":"Empirical Likelihood Estimators for Stochastic Discount Factors","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Estimator; Econometrics; Economics; Mathematics; Stochastic discount factor; Statistics; Capital asset pricing model","score_opus":0.03272946287006162,"score_gpt":0.24699776725271694,"score_spread":0.21426830438265532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1542789622","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7928013,0.0010323672,0.20234956,0.00048312324,0.00070242514,0.00017605847,0.000028679557,0.000040965744,0.002385517],"genre_scores_gemma":[0.9972619,0.001287049,0.0003641049,0.000089619105,0.00038103663,0.000011764637,0.000010482899,0.00005627417,0.0005377609],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967843,0.000011490936,0.0006343452,0.00032806405,0.0000407287,0.0022010684],"domain_scores_gemma":[0.99916136,0.00010148384,0.00034717013,0.00019890968,0.000031721444,0.00015933168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011408712,0.00022047448,0.0004398546,0.0002223797,0.00047405908,0.000074070595,0.00029426825,0.00012105543,0.00006818726],"category_scores_gemma":[0.00019272846,0.00022787937,0.00027987355,0.00012580883,0.00007419171,0.00029775134,0.000032018732,0.00082485453,0.00015154901],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003072536,0.0004961425,0.53582436,0.0000356396,0.00078606774,0.000009692233,0.002704825,0.002510681,0.0000110398105,0.44709826,0.0034382322,0.0067777885],"study_design_scores_gemma":[0.0017588738,0.000545631,0.012321923,0.000013372839,0.00002891139,0.00046028153,0.0007001115,0.00749408,0.000009820301,0.96521264,0.010711109,0.00074323727],"about_ca_topic_score_codex":0.000053181582,"about_ca_topic_score_gemma":0.00015604134,"teacher_disagreement_score":0.52350247,"about_ca_system_score_codex":0.0011782281,"about_ca_system_score_gemma":0.0007429497,"threshold_uncertainty_score":0.9292651},"labels":[],"label_agreement":null},{"id":"W1545146360","doi":"","title":"CITY OF SANTA FE V. KOMIS REVISITED: AN ANALYSIS OF THE ACTUAL IMPACTS OF CONSTRUCTION AND OPERATION OF THE SANTA FE BYPASS ON THE VALUE OF NEARBY REAL ESTATE","year":2003,"lang":"en","type":"article","venue":"University of North Texas Digital Library (University of North Texas)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Lawsuit; Quarter (Canadian coin); Environmental science; Civil engineering; Agricultural economics; Archaeology; Engineering; Waste management; Geography; Business; Finance; Political science; Economics","score_opus":0.012838099481957297,"score_gpt":0.1655593348313138,"score_spread":0.1527212353493565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1545146360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9851233,0.00001514462,0.00007031019,0.00006613748,0.00003944946,0.00022917385,0.0025626703,0.0000074550435,0.011886371],"genre_scores_gemma":[0.9985952,0.0009410693,0.00022834922,0.000010521052,0.0000046221335,1.0887386e-8,0.00008321903,0.0000098943,0.00012715717],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988517,0.00009954254,0.00047731688,0.00029242903,0.00011609717,0.00016292356],"domain_scores_gemma":[0.99749637,0.00017393079,0.0015683513,0.0005942008,0.00009254202,0.00007458644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023267497,0.0001723693,0.0007368629,0.00038754975,0.00015123747,0.000017414925,0.0006487003,0.00009617155,0.0001410421],"category_scores_gemma":[0.000058370562,0.00016393054,0.00037543706,0.0008987668,0.00092082605,0.0012357157,0.0002734403,0.00014197375,0.0000012766192],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025881737,0.0001717925,0.992775,0.00008660079,0.0004637107,8.361094e-7,0.00038684695,0.0011693115,0.000003875099,0.0030095633,0.00007871238,0.0015949353],"study_design_scores_gemma":[0.0005642801,0.00018408177,0.99585444,0.000044002823,0.00022721052,0.0000012464411,0.00043682856,0.0016083724,0.00028220384,0.00012479065,0.0005321267,0.00014043879],"about_ca_topic_score_codex":0.0020788203,"about_ca_topic_score_gemma":0.0013034584,"teacher_disagreement_score":0.013471869,"about_ca_system_score_codex":0.00004629113,"about_ca_system_score_gemma":0.00013062594,"threshold_uncertainty_score":0.66848934},"labels":[],"label_agreement":null},{"id":"W1546204329","doi":"","title":"A Cross-Country Quarterly Database of Real House Prices: A Methodological Note","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"GDP deflator; Economics; Price index; Purchasing power parity; Per capita; Index (typography); Purchasing power; Real gross domestic product; Econometrics; Personal consumption expenditures price index; Consumption (sociology); Population; Consumer price index (South Africa); Quarter (Canadian coin); Price level; Database; Macroeconomics; Personal income; Monetary policy; Geography; Computer science","score_opus":0.15099920206374007,"score_gpt":0.3666865697469749,"score_spread":0.21568736768323482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1546204329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62666804,0.00028652203,0.00018269957,0.000046673624,0.0011341418,0.00084962597,0.00094575004,0.000115834024,0.36977074],"genre_scores_gemma":[0.92930347,0.046885643,0.020774161,0.000099897676,0.00069456577,0.00039539757,0.0002895285,0.00037792005,0.0011794425],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9933343,0.00027829784,0.002762315,0.002106295,0.00011096634,0.0014078339],"domain_scores_gemma":[0.99435765,0.001160176,0.0014763747,0.0025274889,0.00013096556,0.00034735585],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.010094269,0.000631679,0.002101847,0.0013095981,0.00017928187,0.0003207383,0.0018509013,0.0012610158,0.00066912995],"category_scores_gemma":[0.0011073344,0.00077616127,0.0004918588,0.00028008554,0.0008998647,0.00041675507,0.0013573755,0.002453702,0.00015946775],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004411158,0.0039812503,0.3417104,0.0054888497,0.0014836526,0.00039836075,0.014953342,0.008271268,0.00037527506,0.15642674,0.00039384514,0.46210587],"study_design_scores_gemma":[0.013293291,0.0035935887,0.23342592,0.0024957336,0.00016185989,0.00013368888,0.0032210066,0.086106524,0.0010999194,0.5270807,0.11801243,0.011375335],"about_ca_topic_score_codex":0.0031320313,"about_ca_topic_score_gemma":0.001045313,"teacher_disagreement_score":0.45073053,"about_ca_system_score_codex":0.0011240366,"about_ca_system_score_gemma":0.0005133134,"threshold_uncertainty_score":0.99984765},"labels":[],"label_agreement":null},{"id":"W1548534539","doi":"10.1111/cjag.12040","title":"The Effect of Agricultural Zoning on Rural Residential Property Values: An Application to Ontario's Greenbelt","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Amenity; Zoning; Context (archaeology); Property value; Residential property; Legislation; Residential area; Rural area; Agriculture; Agricultural land; Land use; Land Values; Value (mathematics); Land value; Agricultural economics; Geography; Environmental planning; Business; Economic geography; Civil engineering; Economics; Law; Real estate; Mathematics; Statistics; Archaeology; Engineering","score_opus":0.011763039580865772,"score_gpt":0.16072434072688435,"score_spread":0.14896130114601858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1548534539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9840129,0.00007443682,0.00003828508,0.0020631815,0.0021234711,0.0005734764,0.00008544414,0.000013424804,0.011015377],"genre_scores_gemma":[0.9969674,0.000032722728,0.00013793826,0.00021973265,0.0011393897,0.000034310473,0.000050749033,0.000045183908,0.0013725699],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99639577,0.00010249978,0.0018946757,0.0005616333,0.000018399223,0.0010269957],"domain_scores_gemma":[0.9957367,0.00027373282,0.0016561896,0.0005942214,0.00016264127,0.0015765163],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019913139,0.0004893067,0.0011419686,0.00042927073,0.0006379538,0.000424605,0.0011848127,0.00022792614,0.00013424589],"category_scores_gemma":[0.00029046743,0.0003298639,0.00045919386,0.00018822182,0.00016491032,0.0008300484,0.00004761648,0.0004859705,0.00017221387],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020379461,0.0001700538,0.5103202,0.00033575643,0.0020658835,0.000033076845,0.026058784,0.2068865,0.0006380167,0.15820542,0.025667394,0.06758097],"study_design_scores_gemma":[0.0028975513,0.006376218,0.88554025,0.00023522653,0.00014135288,0.000385432,0.0024022,0.0011438775,0.00065999635,0.0071779545,0.09115845,0.0018814948],"about_ca_topic_score_codex":0.2477766,"about_ca_topic_score_gemma":0.954016,"teacher_disagreement_score":0.70623934,"about_ca_system_score_codex":0.0032421916,"about_ca_system_score_gemma":0.00032874744,"threshold_uncertainty_score":0.99991536},"labels":[],"label_agreement":null},{"id":"W1549527007","doi":"10.1108/17468801111144030","title":"Consumption behavior of Chinese urban residents during economic transition","year":2011,"lang":"en","type":"article","venue":"International Journal of Emerging Markets","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Consumption (sociology); China; Economics; Originality; Empirical research; Value (mathematics); Econometric model; Public economics; Consumer behaviour; Econometrics; Marketing; Sociology; Business; Political science; Social science; Computer science","score_opus":0.027729423197681336,"score_gpt":0.2505550815175143,"score_spread":0.22282565831983298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1549527007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98531485,0.00018307313,0.00038460124,0.000111294095,0.0023306424,0.00005777293,0.00004190876,0.00000916814,0.011566674],"genre_scores_gemma":[0.9980784,0.00069832156,0.0007612633,0.000021930186,0.00030115226,0.0000026015816,0.0000057565185,0.000021199918,0.00010939144],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986166,0.000021942229,0.0009966476,0.00015819678,0.00006166792,0.00014495137],"domain_scores_gemma":[0.9985637,0.00003239746,0.0011181836,0.00012819687,0.000090048496,0.00006744362],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006733005,0.00012433423,0.00031642042,0.00053667324,0.000038358296,0.000032848355,0.0003656436,0.000067100715,0.0014262999],"category_scores_gemma":[0.00006118379,0.00014479738,0.00021925867,0.00003974372,0.000047448022,0.00055843976,0.000038357764,0.00013267504,0.00006532648],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061043946,0.00017392672,0.993164,0.000030301622,0.00025269223,0.000049837985,0.0020557735,0.00009093658,0.00045440288,0.0014190808,0.00031301385,0.0013855671],"study_design_scores_gemma":[0.0013818218,0.000048040834,0.99232,0.00007473184,0.00001969611,0.000115388124,0.000048897222,0.0006920326,0.0006803564,0.0039596763,0.0004662534,0.00019308268],"about_ca_topic_score_codex":0.00009339715,"about_ca_topic_score_gemma":0.000016758906,"teacher_disagreement_score":0.012763519,"about_ca_system_score_codex":0.00019831049,"about_ca_system_score_gemma":0.000024697478,"threshold_uncertainty_score":0.9994865},"labels":[],"label_agreement":null},{"id":"W1550065478","doi":"","title":"Random Walks and Market Efficiency: Evidence from International Real Estate","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Real estate; Random walk; Financial economics; Economics; Diversification (marketing strategy); Econometrics; Cointegration; Random walk hypothesis; Real estate investment trust; Stock (firearms); Unit root; Stock market; Efficient-market hypothesis; Market integration; Unit root test; Business; Mathematics; Geography; Finance; Statistics; Macroeconomics","score_opus":0.012942742784399473,"score_gpt":0.22248487252908855,"score_spread":0.20954212974468908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1550065478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8201898,0.0009874515,0.02096427,0.00050398003,0.0008603568,0.00007697873,0.000012267941,0.000024438647,0.1563805],"genre_scores_gemma":[0.8660344,0.13236678,0.00038586516,0.00004612297,0.000402842,0.0000013177298,0.000003713594,0.00002158601,0.0007374058],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977015,0.000021015496,0.00061438925,0.00031728137,0.000050820196,0.0012949542],"domain_scores_gemma":[0.99909943,0.0002501382,0.00035296765,0.0001544253,0.000030398358,0.00011266318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057229106,0.00014980577,0.00028265198,0.00021716321,0.00017076297,0.00016843053,0.00031404634,0.00008957263,0.00028687093],"category_scores_gemma":[0.00019857727,0.00016584776,0.00009859901,0.00009448629,0.00006408056,0.0004082911,0.000061721934,0.00079587667,0.00008257471],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021421805,0.00016680038,0.32086226,0.000012133655,0.00056145457,0.000035253284,0.0025753651,0.00020426021,0.00012999153,0.03492924,0.0008801532,0.63750094],"study_design_scores_gemma":[0.014495229,0.0008514072,0.18350473,0.00020660524,0.00010222882,0.00095341285,0.00470161,0.04616703,0.00013875881,0.6142254,0.13226281,0.0023907693],"about_ca_topic_score_codex":0.0010267969,"about_ca_topic_score_gemma":0.0021642589,"teacher_disagreement_score":0.63511014,"about_ca_system_score_codex":0.00084499165,"about_ca_system_score_gemma":0.0002210531,"threshold_uncertainty_score":0.67630756},"labels":[],"label_agreement":null},{"id":"W1550404322","doi":"10.1515/jbnst-2010-0105","title":"What Drives Housing Prices Down? Evidence from an International Panel","year":2010,"lang":"en","type":"article","venue":"Jahrbücher für Nationalökonomie und Statistik","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Overheating (electricity); Per capita; Consumption (sociology); Urbanization; Interest rate; Population growth; Private consumption; Monetary economics; Population; Economic growth","score_opus":0.059312683755466104,"score_gpt":0.30812784640875235,"score_spread":0.24881516265328624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1550404322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9564128,0.00060736557,0.010764454,0.0025924665,0.0067590917,0.00027152387,0.00057585863,0.0001314622,0.021884957],"genre_scores_gemma":[0.95562834,0.0014671593,0.039772104,0.00058749656,0.0011777544,0.000044402335,0.0004611607,0.00007066536,0.00079091784],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99775815,0.000028862589,0.0008853057,0.00085346954,0.000105705454,0.00036848936],"domain_scores_gemma":[0.9978848,0.0006288558,0.00063005375,0.000530244,0.00012436425,0.00020167512],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000865064,0.0002939328,0.0004156379,0.00035131813,0.00024892716,0.0012684077,0.0007386266,0.00022663033,0.0031832196],"category_scores_gemma":[0.0005462735,0.00036515543,0.000114184084,0.00016072438,0.00016160907,0.0047685225,0.00012696731,0.0004135483,0.0008992987],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001961454,0.0005602955,0.5718633,0.00003406892,0.00054919894,0.000019113708,0.0041015013,0.0010612088,0.0010557097,0.33539662,0.0028501751,0.08231264],"study_design_scores_gemma":[0.0012392958,0.00007116191,0.6605243,0.00008106346,0.00003668889,0.00000537547,0.00043246584,0.032499183,0.00023738305,0.15412958,0.14958236,0.001161138],"about_ca_topic_score_codex":0.00083426526,"about_ca_topic_score_gemma":0.0018571017,"teacher_disagreement_score":0.18126705,"about_ca_system_score_codex":0.00027311957,"about_ca_system_score_gemma":0.00011614435,"threshold_uncertainty_score":0.99988},"labels":[],"label_agreement":null},{"id":"W1551034569","doi":"10.1023/a:1021905518866","title":"A Hedonic Price Function for a Northern BC Community","year":2003,"lang":"en","type":"article","venue":"Social Indicators Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Ordinary least squares; Quality of Life Research; George (robot); Econometrics; Estimation; Economics; Statistics; Mathematics; Public health; Medicine; Computer science","score_opus":0.1458384065763604,"score_gpt":0.3380724471645858,"score_spread":0.19223404058822538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1551034569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7232564,0.00014201176,0.0011319023,0.00033917534,0.00029891296,0.0004276627,0.000037252852,0.00004258134,0.2743241],"genre_scores_gemma":[0.9982447,0.00006124754,0.000115969844,0.00006934937,0.00019135255,0.00013113064,0.000020924472,0.000040561627,0.0011247674],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984485,0.00022416085,0.00038558745,0.00026590898,0.000062394545,0.0006134282],"domain_scores_gemma":[0.99907225,0.00029520175,0.00016635003,0.00028360263,0.00007193846,0.00011063481],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005842615,0.00011086904,0.00027683072,0.0005016519,0.0015742112,0.00013244056,0.00031360678,0.00020761913,0.00035456495],"category_scores_gemma":[0.0006918222,0.0001415892,0.00014428397,0.0006804901,0.00020643063,0.00014357253,0.000068161964,0.0006893039,0.00070691976],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016756202,0.0005518681,0.2035894,0.00014103405,0.00017785937,9.557737e-7,0.008842514,0.0000082454835,0.00001929849,0.76673734,0.006595041,0.013168882],"study_design_scores_gemma":[0.0012198581,0.0002885366,0.0221649,0.00000798084,0.0000071378863,0.0000010213142,0.0031316504,0.00017560128,0.00006782239,0.38858786,0.5839266,0.00042101377],"about_ca_topic_score_codex":0.0007590739,"about_ca_topic_score_gemma":0.0006080221,"teacher_disagreement_score":0.57733154,"about_ca_system_score_codex":0.00046037495,"about_ca_system_score_gemma":0.00014778606,"threshold_uncertainty_score":0.9997256},"labels":[],"label_agreement":null},{"id":"W1554680488","doi":"10.21991/c9zw91","title":"FEDERAL HOUSE COMMITTEE REFORM: MINDLESS ADVERSARIALISM WELL DONE","year":2011,"lang":"en","type":"article","venue":"Constitutional Forum / Forum constitutionnel","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"House of Representatives; Political science; Public administration; Law; Politics","score_opus":0.04128013979092135,"score_gpt":0.20979684209302113,"score_spread":0.16851670230209978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1554680488","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026652304,0.0006530498,0.08472655,0.001970252,0.005795519,0.0005975772,0.0005738842,0.0004682899,0.87856257],"genre_scores_gemma":[0.992622,0.00021050163,0.0041300687,0.0014792534,0.0002933322,0.00007293542,0.00013410368,0.00004809423,0.0010096763],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99649507,0.000032611697,0.0013673569,0.0008835951,0.00011502637,0.0011063444],"domain_scores_gemma":[0.9981395,0.000057917725,0.00057438656,0.00072885107,0.00013068647,0.00036863744],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.00067542586,0.00052065094,0.00079371856,0.00048445075,0.0013697254,0.00019449438,0.00065878726,0.00041699543,0.0020672374],"category_scores_gemma":[0.0001403353,0.0006080477,0.0004267111,0.00032796152,0.0032273533,0.0012654539,0.00029004193,0.0004379537,0.004461161],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014474614,0.0002345842,0.0515856,0.000021499494,0.00013671153,0.00003391896,0.00016335263,0.00010447364,0.000010510973,0.940571,0.0066104517,0.00038315367],"study_design_scores_gemma":[0.006837862,0.00021655398,0.00573415,0.00017275482,0.00007861463,0.0005645562,0.0021548707,0.003117769,0.0005176867,0.3003405,0.6776219,0.00264276],"about_ca_topic_score_codex":0.0016762265,"about_ca_topic_score_gemma":0.00054873805,"teacher_disagreement_score":0.96596974,"about_ca_system_score_codex":0.00077877636,"about_ca_system_score_gemma":0.00044139475,"threshold_uncertainty_score":0.9999304},"labels":[],"label_agreement":null},{"id":"W1554794896","doi":"10.7208/chicago/9780226239668.003.0011","title":"The Measurement of Quality-Adjusted Price Changes","year":2003,"lang":"en","type":"book-chapter","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Cardiff University","keywords":"Superlative; Proxy (statistics); Econometrics; Hedonic index; Price index; Quality (philosophy); Matching (statistics); Variable (mathematics); Statistics; Scanner; Computer science; Index (typography); Mathematics; Artificial intelligence","score_opus":0.12418535706981916,"score_gpt":0.2315704578543854,"score_spread":0.10738510078456624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1554794896","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000043521402,0.0025708985,0.00020030202,0.0012547543,0.00081044756,0.00026357156,0.00005459896,0.000029006313,0.9947729],"genre_scores_gemma":[0.007008767,0.016357467,0.00043910206,0.0010650846,0.00028906332,0.00002503342,0.000019482417,0.00015754496,0.97463846],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982304,0.000010513824,0.000996814,0.00040313212,0.00007222218,0.00028693757],"domain_scores_gemma":[0.9979642,0.00010195759,0.0010878815,0.0006708101,0.0001062606,0.000068898946],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0025209247,0.0002779091,0.00070784084,0.00015738688,0.00013237138,0.00006132805,0.00033707023,0.0002875465,0.0011999719],"category_scores_gemma":[0.00011103939,0.0002548421,0.00022103159,0.000031657026,0.00010837255,0.000043710617,0.000067070185,0.00021749946,0.00047824642],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018389066,0.000013034255,0.000062664774,0.00006543299,0.00014676081,3.8216695e-7,0.00005747564,0.0000030404353,0.0000013919154,0.9874811,0.0072501423,0.004900194],"study_design_scores_gemma":[0.00018562656,0.000033430664,0.000079325844,0.000029026502,0.000010966465,6.872532e-7,0.000019026931,0.000029635497,0.000022990873,0.10784035,0.891442,0.00030693976],"about_ca_topic_score_codex":0.00008495727,"about_ca_topic_score_gemma":0.0006293773,"teacher_disagreement_score":0.8841919,"about_ca_system_score_codex":0.00024998636,"about_ca_system_score_gemma":0.000037026988,"threshold_uncertainty_score":0.9999904},"labels":[],"label_agreement":null},{"id":"W1556042350","doi":"10.1108/jrf-02-2015-0020","title":"The dynamics of risk premium: the case of the Taiwan real estate market","year":2015,"lang":"en","type":"article","venue":"The Journal of Risk Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Real estate; Volatility (finance); Real estate investment trust; Autoregressive conditional heteroskedasticity; Risk premium; Economics; Financial economics; Capitalization rate; Cost approach; Investment (military); Business; Finance","score_opus":0.015316269298991497,"score_gpt":0.20840717952171664,"score_spread":0.19309091022272515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1556042350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9739139,0.0010448995,0.00040136257,0.0010481217,0.00095030846,0.00015618408,0.00025577823,0.0000040039345,0.022225432],"genre_scores_gemma":[0.9546841,0.04450491,0.00023993787,0.000018078501,0.00013256948,0.0000016597024,4.8097326e-7,0.000024153793,0.00039414136],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980392,0.00027800072,0.0011990429,0.00012980701,0.00007189592,0.00028203908],"domain_scores_gemma":[0.99415433,0.00082783477,0.003952271,0.00084419624,0.00016883292,0.00005253737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00785779,0.00016761992,0.000450854,0.00006081781,0.00039864684,0.000050619852,0.0011196587,0.0000800516,0.000016098027],"category_scores_gemma":[0.0010907399,0.00008457288,0.00025570957,0.00027396897,0.00047552065,0.00017236886,0.0001755004,0.00059197017,0.00001139817],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025961024,0.00042547373,0.58065015,0.00008311844,0.00068483374,0.00008428742,0.02785715,0.040005166,0.000005302849,0.062032137,0.04125149,0.24432482],"study_design_scores_gemma":[0.0048678485,0.000770661,0.30116037,0.0002569121,0.00059047376,0.0023720786,0.01770249,0.27986157,0.00019110017,0.29916307,0.09204894,0.0010144635],"about_ca_topic_score_codex":0.002930417,"about_ca_topic_score_gemma":0.003218309,"teacher_disagreement_score":0.27948976,"about_ca_system_score_codex":0.00015691898,"about_ca_system_score_gemma":0.00012656441,"threshold_uncertainty_score":0.44299334},"labels":[],"label_agreement":null},{"id":"W1556725854","doi":"10.2139/ssrn.378523","title":"Measuring the Social Discount Rate Under Uncertainty: A Methodology and Application","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Econometrics; Economics","score_opus":0.07146080754550138,"score_gpt":0.25306699199781985,"score_spread":0.18160618445231846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1556725854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76903033,0.007002283,0.19380534,0.013332663,0.00041957677,0.00023524914,0.0000073176175,0.000038909973,0.01612831],"genre_scores_gemma":[0.9915431,0.0072234445,0.00008844202,0.0002796108,0.00036328626,0.00000953586,0.0000011292608,0.000019871486,0.0004715402],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983922,0.00008103227,0.00034287898,0.00020894024,0.000020842921,0.00095409073],"domain_scores_gemma":[0.99945104,0.0001016342,0.00027522127,0.00012000242,0.000016076669,0.000036049278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004177152,0.00011063125,0.0002276181,0.00008581249,0.00051086594,0.00010792589,0.00018639267,0.00007509455,0.000058753227],"category_scores_gemma":[0.000059516304,0.000097277065,0.000078317615,0.00009567742,0.00008284839,0.00014327801,0.000035124,0.0007432101,0.00009008063],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021728067,0.000024153582,0.0022201582,0.000004424796,0.00012601605,2.990626e-7,0.00079771504,0.00051143067,0.000039733666,0.96532905,0.000092010705,0.030833274],"study_design_scores_gemma":[0.0004935263,0.000045167413,0.0022873776,0.0000022278746,0.000016058606,0.0000999165,0.0012808383,0.013495337,0.0000043339646,0.9710169,0.011063547,0.0001947613],"about_ca_topic_score_codex":0.00013756007,"about_ca_topic_score_gemma":0.0004856193,"teacher_disagreement_score":0.22251278,"about_ca_system_score_codex":0.0005774031,"about_ca_system_score_gemma":0.000064561915,"threshold_uncertainty_score":0.39668438},"labels":[],"label_agreement":null},{"id":"W1559721840","doi":"10.1111/reec.12007","title":"Elective Stock Dividends and REITs: Evidence from the Financial Crisis","year":2013,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Real estate investment trust; Dividend; Dividend policy; Financial crisis; Economics; Stock (firearms); Cash flow; Shareholder; Monetary economics; Business; Financial economics; Free cash flow; Financial system; Real estate; Finance; Corporate governance; Macroeconomics","score_opus":0.03104360278048011,"score_gpt":0.2150244923858551,"score_spread":0.183980889605375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1559721840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9658778,0.00037904235,0.00041228102,0.0029560064,0.0005313765,0.00035380386,0.00013447425,0.00005619886,0.029299058],"genre_scores_gemma":[0.94920063,0.04859695,0.000777244,0.0006721075,0.0004059827,0.00008145478,0.000022299015,0.00005543942,0.00018789608],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980092,0.000033946955,0.0007631523,0.00068950205,0.000018749095,0.00048542072],"domain_scores_gemma":[0.9982953,0.0005264412,0.00044237945,0.00053469103,0.000037360445,0.00016379716],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00057462114,0.00027514607,0.00051831413,0.0000985814,0.00027828861,0.00042497856,0.00041230672,0.00016432375,0.00042153886],"category_scores_gemma":[0.00026317255,0.00027899706,0.00012264494,0.000113868475,0.00012944928,0.0010590177,0.0001964426,0.0002742313,0.000922704],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021829047,0.00014454566,0.5640571,0.000054824388,0.00034553412,0.000008229042,0.011842333,0.0013690961,0.000030860978,0.035576954,0.0350719,0.35128033],"study_design_scores_gemma":[0.0011059442,0.00023037578,0.74080265,0.000059267637,0.000046238565,0.000013215667,0.0008413639,0.05301673,0.00007651812,0.14827734,0.054152705,0.0013776618],"about_ca_topic_score_codex":0.020398008,"about_ca_topic_score_gemma":0.0021928023,"teacher_disagreement_score":0.34990266,"about_ca_system_score_codex":0.00025845927,"about_ca_system_score_gemma":0.000065357985,"threshold_uncertainty_score":0.9999662},"labels":[],"label_agreement":null},{"id":"W1560447828","doi":"","title":"DEVELOPING HISTORICAL TIME SERIES IN A MARKET WITHOUT EXTERNAL MARKET VALUATIONS PART 2: AN INVENTORY OF POSSIBILITIES","year":2000,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Index (typography); Asset (computer security); Real estate investment trust; Investment (military); Estate; Business; Economy; Geography; Economics; Actuarial science; Finance; Political science; Law","score_opus":0.07129230788904023,"score_gpt":0.29844501426574227,"score_spread":0.22715270637670204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1560447828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6603163,0.0004294634,0.000012210028,0.00022882763,0.00065443205,0.0006704178,0.00018990983,0.000039330884,0.33745912],"genre_scores_gemma":[0.8364964,0.05254077,0.014402443,0.00020685056,0.001248468,0.0010707894,0.00029441743,0.0005016848,0.09323818],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9944179,0.00043107878,0.0025439295,0.0014484486,0.00012413117,0.0010345281],"domain_scores_gemma":[0.99719983,0.00036963864,0.000743147,0.0013582683,0.00008695252,0.00024213905],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0071211657,0.00050628785,0.0015877155,0.0017057032,0.00014723415,0.00021374735,0.0010339946,0.00068183104,0.0032205633],"category_scores_gemma":[0.00065903086,0.00068344636,0.0002904924,0.00024245963,0.00039328914,0.0005527495,0.00069107115,0.0013869418,0.000049492417],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023812114,0.0014324231,0.839681,0.0014712075,0.00039348082,0.000073995725,0.007011769,0.011803051,0.000015977555,0.009369696,0.0022657507,0.12410039],"study_design_scores_gemma":[0.0042601884,0.000653177,0.19176523,0.0024014884,0.0000373698,0.000055263583,0.0015536002,0.1920678,0.00005765651,0.4467319,0.15601194,0.004404377],"about_ca_topic_score_codex":0.0011064963,"about_ca_topic_score_gemma":0.0016290002,"teacher_disagreement_score":0.64791584,"about_ca_system_score_codex":0.006207731,"about_ca_system_score_gemma":0.0010527179,"threshold_uncertainty_score":0.99956167},"labels":[],"label_agreement":null},{"id":"W1561018326","doi":"10.2139/ssrn.2126625","title":"Price Negotiation in Differentiated Product Markets: Evidence from the Canadian Mortgage Market","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"HEC Montréal; Bank of Canada; Government of Canada","funders":"","keywords":"Negotiation; Secondary mortgage market; Mortgage underwriting; Business; Shared appreciation mortgage; Collateralized mortgage obligation; Product differentiation; Mortgage insurance; Loan-to-value ratio; Product (mathematics); Monetary economics; Economics; Financial system; Finance; Market economy","score_opus":0.022108522993954643,"score_gpt":0.20609617319278495,"score_spread":0.18398765019883032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1561018326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9663146,0.011764541,0.00056016166,0.0028130708,0.0010407255,0.0002485078,0.000024796913,0.000019125198,0.01721445],"genre_scores_gemma":[0.9893833,0.008968091,0.000051933963,0.00018532448,0.0006636991,0.000009491389,0.000014745453,0.000031903575,0.00069151964],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99666446,0.00011380367,0.0005961926,0.00027312292,0.000050336876,0.0023020962],"domain_scores_gemma":[0.99893564,0.00017491591,0.00036890898,0.00032087936,0.000025710113,0.0001739545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056809247,0.00018004088,0.00027338613,0.00022751935,0.0003372246,0.00020005506,0.00043292443,0.00009833843,0.0006896548],"category_scores_gemma":[0.0005980858,0.0001677097,0.00009575328,0.00027961208,0.000036449546,0.0008137094,0.00003959485,0.0013465382,0.00018483191],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005316545,0.000046780515,0.977668,0.000003538658,0.00007418773,0.0000010954851,0.0006406195,0.000017202137,0.000005084467,0.0149791045,0.001177623,0.0053336243],"study_design_scores_gemma":[0.00039520787,0.000024110823,0.92486787,0.00003825212,0.000013536022,0.000037626163,0.00028028231,0.0013005872,0.000006452498,0.06150588,0.0112329135,0.00029730576],"about_ca_topic_score_codex":0.0944632,"about_ca_topic_score_gemma":0.50123394,"teacher_disagreement_score":0.4067707,"about_ca_system_score_codex":0.0034021488,"about_ca_system_score_gemma":0.0008028394,"threshold_uncertainty_score":0.91156685},"labels":[],"label_agreement":null},{"id":"W1564987228","doi":"","title":"Initial Public Offerings in Canada: A Test of the Underpricing Theories and Aftermarket Performance","year":2007,"lang":"en","type":"article","venue":"ASAC","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Initial public offering; Test (biology); Business; Accounting","score_opus":0.015215543666404603,"score_gpt":0.17954601550592253,"score_spread":0.16433047183951793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1564987228","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9197689,0.000097367265,0.000051505896,0.00037947888,0.00022463014,0.00005774998,0.000011760366,0.0000040167006,0.07940456],"genre_scores_gemma":[0.99954706,0.00012616963,0.000039452905,0.00018311443,0.000029429744,0.0000019269278,7.077237e-7,0.000009317986,0.00006282201],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99927723,0.000005037298,0.00034890434,0.00013349985,0.000018234115,0.00021707041],"domain_scores_gemma":[0.9994969,0.00015744132,0.00014758352,0.00015490285,0.000009191549,0.00003400204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000644017,0.00007374679,0.00018097223,0.000084859326,0.000055335287,0.000023457675,0.00013227433,0.00003363003,0.000033611323],"category_scores_gemma":[0.00014048614,0.00007102055,0.000020563122,0.00012267823,0.00006230114,0.00014917688,0.00007351749,0.00009171927,0.0000027667215],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010287123,0.000009115886,0.9860532,0.00002211847,0.0000049108194,0.0000010081776,0.000225222,0.000006471062,0.0000047172052,0.00791276,0.000039387472,0.0057107927],"study_design_scores_gemma":[0.0002214568,0.000012694633,0.9921582,0.000018444585,0.000001183684,0.000002819911,0.00012699918,0.0011327078,0.00015514003,0.0030225893,0.0030380697,0.00010972112],"about_ca_topic_score_codex":0.13796584,"about_ca_topic_score_gemma":0.58754677,"teacher_disagreement_score":0.4495809,"about_ca_system_score_codex":0.00020505303,"about_ca_system_score_gemma":0.00012773866,"threshold_uncertainty_score":0.86777455},"labels":[],"label_agreement":null},{"id":"W1565647834","doi":"10.3386/w18432","title":"Housing Dynamics over the Business Cycle","year":2012,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business cycle; Dynamics (music); Economics; Business; Keynesian economics; Physics","score_opus":0.3283061539825022,"score_gpt":0.43611818070656794,"score_spread":0.10781202672406576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1565647834","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012463595,0.0019256647,0.000060053244,0.0009759349,0.0027990085,0.0005034437,0.00050751265,0.00002960665,0.9807352],"genre_scores_gemma":[0.98338914,0.0056116018,0.00017081808,0.000055888228,0.0032616374,0.00008056375,0.00067171844,0.00016820319,0.0065904465],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99627376,0.00008758462,0.0016385315,0.0007370951,0.000400528,0.0008625044],"domain_scores_gemma":[0.9960536,0.0008982532,0.001179642,0.00077985204,0.00094169175,0.0001469717],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.012283244,0.0003601844,0.0009747129,0.0011627754,0.00038151717,0.00025054527,0.00108426,0.00064823497,0.00195105],"category_scores_gemma":[0.0013710824,0.00036864425,0.00033801125,0.00043397147,0.0004946514,0.00044543613,0.00044471872,0.0010585331,0.0013573485],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046169378,0.00015568748,0.027377388,0.00028108002,0.00034378265,0.0000019219979,0.00011948996,0.0015618461,0.0000013175897,0.904308,0.06065639,0.005146889],"study_design_scores_gemma":[0.0005659369,0.000033167904,0.019509614,0.00011253532,0.000022592752,0.000022925366,0.00006699493,0.0127895195,0.000005780548,0.73517126,0.23098212,0.00071755145],"about_ca_topic_score_codex":0.0065132948,"about_ca_topic_score_gemma":0.0012050825,"teacher_disagreement_score":0.97414476,"about_ca_system_score_codex":0.005347873,"about_ca_system_score_gemma":0.0018293775,"threshold_uncertainty_score":0.99987656},"labels":[],"label_agreement":null},{"id":"W1565907438","doi":"10.3386/w10865","title":"An Equilibrium Model of Sorting in an Urban Housing Market","year":2004,"lang":"en","type":"article","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; National Science Foundation","keywords":"Microdata (statistics); Sorting; Economics; Discrete choice; Econometrics; Inequality; General equilibrium theory; Characterization (materials science); Census; Microeconomics; Computer science; Mathematics; Population","score_opus":0.2738001957808959,"score_gpt":0.42165294869817904,"score_spread":0.14785275291728311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1565907438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7778059,0.00006437524,0.00016609875,0.00018329838,0.000087512606,0.00017515387,0.000047729252,0.000012556892,0.22145736],"genre_scores_gemma":[0.9970011,0.00005559832,0.0025746832,0.000024776953,0.00014862166,0.000014588766,0.000041735166,0.00003894061,0.00009995582],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976906,0.000051588137,0.0011883745,0.00050810364,0.00010277087,0.0004585287],"domain_scores_gemma":[0.9987872,0.00015509437,0.00040896144,0.00037272173,0.00015136969,0.00012461752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004907177,0.0001408559,0.0004749885,0.0010849562,0.00006933086,0.000074035815,0.0005158622,0.00016855598,0.00022333027],"category_scores_gemma":[0.0002440788,0.00019267715,0.00009653306,0.000218154,0.00019451334,0.0009798012,0.000094375726,0.000279574,0.000047445534],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011818139,0.00025933518,0.066287294,0.000044500594,0.00001974488,8.35747e-7,0.0004869222,0.2277155,0.00094644725,0.70357907,0.00013127728,0.0004108736],"study_design_scores_gemma":[0.000743246,0.00010220574,0.0023214177,0.00002172337,9.89643e-7,7.5704975e-7,0.000092487935,0.32571298,0.00053984614,0.6702755,0.00002618997,0.00016265121],"about_ca_topic_score_codex":0.00081362994,"about_ca_topic_score_gemma":0.0004182925,"teacher_disagreement_score":0.2213574,"about_ca_system_score_codex":0.00083922053,"about_ca_system_score_gemma":0.00039843307,"threshold_uncertainty_score":0.7857146},"labels":[],"label_agreement":null},{"id":"W1567543929","doi":"10.3386/w8530","title":"Demographic Fluctuations, Generational Welfare and Intergenerational Transfers","year":2001,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Advanced Research","keywords":"Welfare; Demographic economics; Economics; Labour economics; Market economy","score_opus":0.28168933898214826,"score_gpt":0.42292983656983874,"score_spread":0.14124049758769047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1567543929","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015883485,0.002522295,0.00029491633,0.004126392,0.0015542948,0.0006318323,0.0012440772,0.00003368507,0.97370905],"genre_scores_gemma":[0.9716372,0.016896555,0.0010057776,0.000059198,0.0019905944,0.000171797,0.0028404375,0.00010527529,0.005293154],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9963677,0.000083424144,0.0017163383,0.0009367657,0.0004041201,0.0004916602],"domain_scores_gemma":[0.9977215,0.0003407026,0.0005109876,0.00033893762,0.0009072943,0.00018056927],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0058140648,0.00033764084,0.0008154024,0.0021717043,0.0004193587,0.00020703216,0.00044609362,0.00058817153,0.0036465542],"category_scores_gemma":[0.00067251694,0.0004386736,0.0002929459,0.00029903484,0.00040774103,0.0003772271,0.00012329569,0.00070062303,0.00023326541],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038946586,0.00008410883,0.0076440866,0.00011707434,0.00030561324,0.0000019607153,0.00007781615,0.0010541372,0.000016317512,0.9490621,0.038888,0.0027098248],"study_design_scores_gemma":[0.0008714488,0.00014304221,0.00512027,0.0000631555,0.00001894208,0.00006102491,0.000059170572,0.008867218,0.000029145878,0.7240686,0.25999063,0.0007073577],"about_ca_topic_score_codex":0.0010068814,"about_ca_topic_score_gemma":0.00068518956,"teacher_disagreement_score":0.96841586,"about_ca_system_score_codex":0.0014237753,"about_ca_system_score_gemma":0.0013559036,"threshold_uncertainty_score":0.9998065},"labels":[],"label_agreement":null},{"id":"W1567586049","doi":"10.2139/ssrn.1742640","title":"Toxic Asset Subsidies and the Early Redemption of TALF Loans","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Loan; Asset (computer security); Subsidy; Business; Investment (military); Quarter (Canadian coin); Value (mathematics); Monetary economics; Finance; Financial system; Economics; Market economy","score_opus":0.021004882338211506,"score_gpt":0.18722477652030747,"score_spread":0.16621989418209596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1567586049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9587541,0.0038549316,0.0017923176,0.0002897117,0.00022051102,0.000076736076,0.0000050490275,0.000009459427,0.03499718],"genre_scores_gemma":[0.98211044,0.0171525,0.000079536956,0.000028589408,0.00009983569,0.0000025080735,9.055663e-7,0.000014842552,0.00051086483],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99865496,0.000026913012,0.00044408988,0.00014047598,0.000020823501,0.0007127412],"domain_scores_gemma":[0.9993804,0.000036231417,0.00038219296,0.00014631245,0.000019343921,0.00003553223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002547198,0.00009659073,0.00027026414,0.00011108184,0.00013350863,0.000041834806,0.00017864532,0.000063939464,0.00007753506],"category_scores_gemma":[0.000057758974,0.000081952574,0.00010234398,0.00007438678,0.00014171207,0.00021755774,0.00003063021,0.0005085178,0.000040365492],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016000251,0.000030226198,0.0645925,0.0000059868116,0.00013650075,4.8674855e-7,0.0014835638,0.000003056844,0.0000095973255,0.9291318,0.000044428976,0.00440181],"study_design_scores_gemma":[0.0011469749,0.00017403412,0.025029374,0.000008089166,0.000017011454,0.00008062315,0.0006776067,0.00022927985,0.000058672627,0.9713676,0.001065264,0.00014549002],"about_ca_topic_score_codex":0.00038725015,"about_ca_topic_score_gemma":0.0005490082,"teacher_disagreement_score":0.042235747,"about_ca_system_score_codex":0.00015833591,"about_ca_system_score_gemma":0.000102091886,"threshold_uncertainty_score":0.3341929},"labels":[],"label_agreement":null},{"id":"W1570789454","doi":"10.1111/caje.12195","title":"Consumption, housing collateral and the Canadian business cycle","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Collateral; Economics; Consumption (sociology); Business cycle; Collateralized debt obligation; Boom; Debt; Bust; Econometrics; Household debt; Microeconomics; Monetary economics; Macroeconomics; Finance; Engineering","score_opus":0.09735301229396248,"score_gpt":0.1670338941757831,"score_spread":0.06968088188182062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1570789454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97470814,0.00059263664,0.00010463377,0.012487325,0.0020882608,0.00026518072,0.0003078516,0.000007958834,0.009437988],"genre_scores_gemma":[0.996729,0.0009819866,0.00022787652,0.0010353718,0.0005775364,0.000011396339,0.000005082172,0.000070828224,0.0003609008],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99719507,0.00005153547,0.0013297591,0.00043546598,0.0000018556486,0.0009862983],"domain_scores_gemma":[0.99629086,0.00023667351,0.000947903,0.00045849013,0.00016416376,0.0019018779],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018692353,0.00032040788,0.0008907637,0.0010059421,0.00060422777,0.00046078156,0.0005732206,0.00025440642,0.00058989],"category_scores_gemma":[0.0003519907,0.0002883715,0.00019719705,0.00015114594,0.00076647196,0.00071007625,0.000030433928,0.00024995816,0.00015997216],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001630658,0.0000056041677,0.1219154,0.00003044671,0.00018562304,0.00006947659,0.00092827674,0.000650038,0.0000016874731,0.8693362,0.00071944884,0.005994736],"study_design_scores_gemma":[0.005563411,0.000105966355,0.032291982,0.00019422949,0.00005400672,0.0008751775,0.00015101428,0.0019719775,0.000015304056,0.8034859,0.15424117,0.0010499053],"about_ca_topic_score_codex":0.7843265,"about_ca_topic_score_gemma":0.99887186,"teacher_disagreement_score":0.21454538,"about_ca_system_score_codex":0.003042108,"about_ca_system_score_gemma":0.0019731268,"threshold_uncertainty_score":0.99995685},"labels":[],"label_agreement":null},{"id":"W1570883217","doi":"","title":"Medium-Term Fluctuations in Canadian House Prices","year":2011,"lang":"en","type":"article","venue":"Bank of Canada review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"House price; Economics; Market liquidity; Theme (computing); Term (time); Medium term; Financial economics; Empirical research; Short run; Macroeconomics; Monetary economics","score_opus":0.03535420798116747,"score_gpt":0.2049369251838593,"score_spread":0.16958271720269183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1570883217","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07876932,0.07427137,0.000038920054,0.0025786033,0.00094664417,0.0007010277,0.0001902445,0.000027672691,0.8424762],"genre_scores_gemma":[0.94063216,0.057491805,0.0003741488,0.0012289508,0.000034243494,0.000024845423,0.0000093918325,0.000029868213,0.00017457652],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988629,0.000008908574,0.0006220572,0.00017885117,0.000023948736,0.00030329826],"domain_scores_gemma":[0.9992649,0.000021112155,0.00024018632,0.0002731355,0.000020549034,0.00018013977],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00054586516,0.000097045246,0.0004176063,0.00015397988,0.00003769175,0.00000764689,0.0002293107,0.000040182847,0.0016071958],"category_scores_gemma":[0.00015003764,0.00011626684,0.000050054507,0.00019708979,0.000023315797,0.00010673772,0.00001609888,0.00006977695,0.000043290875],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018219744,0.0001741501,0.587098,0.0063522663,0.00019694936,0.00010948863,0.0015696187,0.000030229125,0.0000036910376,0.23199028,0.11413347,0.05832366],"study_design_scores_gemma":[0.00021900985,0.000017524279,0.30554205,0.0005954352,0.000014165626,0.000004283377,0.00001613101,0.00011876259,0.000013079827,0.0023588052,0.69074994,0.0003507953],"about_ca_topic_score_codex":0.9822244,"about_ca_topic_score_gemma":0.9987726,"teacher_disagreement_score":0.86186284,"about_ca_system_score_codex":0.00037554195,"about_ca_system_score_gemma":0.0010762949,"threshold_uncertainty_score":0.9993055},"labels":[],"label_agreement":null},{"id":"W1571763974","doi":"10.1007/978-1-4757-5988-4_3","title":"Mortgage Contracts, Strategic Options and Stochastic Collateral","year":2002,"lang":"en","type":"book-chapter","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Arbitrage; Collateral; Mortgage underwriting; Collateralized debt obligation; Shared appreciation mortgage; Valuation (finance); Prepayment of loan; Economics; Tranche; Liberian dollar; Business; Mortgage insurance; Monetary economics; Microeconomics; Actuarial science; Financial economics; Finance; Insurance policy","score_opus":0.05757176786211834,"score_gpt":0.20052917546063026,"score_spread":0.14295740759851192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1571763974","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012568431,0.0014381575,0.00033047702,0.0001515396,0.00046362658,0.00027450826,0.00027884258,0.00007847201,0.99572754],"genre_scores_gemma":[0.20110351,0.0037639283,0.00039469858,0.00021273097,0.00030595582,0.0000113857095,0.00007234491,0.00011830612,0.79401714],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983503,0.0000031807579,0.000736014,0.0005674419,0.000022885491,0.00032013498],"domain_scores_gemma":[0.9990155,0.000059568316,0.0003920581,0.0003488613,0.000020034058,0.00016395014],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00022230484,0.00036241516,0.00073843246,0.00020900766,0.00013536913,0.0002386859,0.00014751394,0.00040985658,0.008726073],"category_scores_gemma":[0.000008262118,0.00044778353,0.00014369219,0.000020099978,0.00011418991,0.00015316697,0.00006264596,0.0003334717,0.0021377578],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000075200473,0.000015641679,0.000054142158,0.000021040536,0.00009075787,0.000011256529,0.000039276445,0.00011386484,3.024308e-7,0.9979656,0.0010930973,0.0005875137],"study_design_scores_gemma":[0.0009802956,0.00011693934,0.0002047823,0.00007370505,0.000057537767,0.000053727206,0.0000192545,0.0153918,2.8930853e-7,0.73971015,0.24204284,0.0013486729],"about_ca_topic_score_codex":0.000057618963,"about_ca_topic_score_gemma":0.0000580869,"teacher_disagreement_score":0.25825542,"about_ca_system_score_codex":0.00012229172,"about_ca_system_score_gemma":0.000019904744,"threshold_uncertainty_score":0.9997974},"labels":[],"label_agreement":null},{"id":"W1572107676","doi":"","title":"Commentary on \"House prices and the stance of monetary policy \"","year":2008,"lang":"en","type":"article","venue":"Canadian parliamentary review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"GDP deflator; Economics; Boom; Monetary policy; Monetary economics; Demand shock; Bust; Inflation (cosmology); Business cycle; Interest rate; Real gross domestic product; Macroeconomics","score_opus":0.028789062918406924,"score_gpt":0.21462116510583293,"score_spread":0.18583210218742602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1572107676","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2662805,0.4503773,0.000028302808,0.15471658,0.0006221641,0.002019072,0.0008381707,0.000060630824,0.12505728],"genre_scores_gemma":[0.37805387,0.54513556,0.00015573415,0.076359436,0.0001399778,0.000027590577,0.0000221543,0.000031141502,0.00007456325],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99887776,0.00003070048,0.00054351497,0.00025068608,0.000025198675,0.000272114],"domain_scores_gemma":[0.9990587,0.00007652568,0.0002550025,0.00039979423,0.000008972207,0.00020095987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004895818,0.00015044918,0.0005496459,0.00015014116,0.00016552498,0.000013614266,0.00023364145,0.00003511302,0.0002464063],"category_scores_gemma":[0.000039155384,0.00013564121,0.000101493155,0.00017522984,0.0002683133,0.0001243837,0.000027666323,0.00011682604,0.0001173606],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012743185,0.00010788689,0.15729769,0.0019584196,0.00038205547,0.000054048764,0.0013428393,0.000055086955,6.1761756e-7,0.046183944,0.74069154,0.05179843],"study_design_scores_gemma":[0.0009736672,0.0000620235,0.0076695313,0.0004928372,0.000024035153,0.00002108608,0.000051263432,0.00016140018,0.0000038072371,0.0028229032,0.98743284,0.0002846191],"about_ca_topic_score_codex":0.17088217,"about_ca_topic_score_gemma":0.035106815,"teacher_disagreement_score":0.24674128,"about_ca_system_score_codex":0.00022412765,"about_ca_system_score_gemma":0.00008194051,"threshold_uncertainty_score":0.98249996},"labels":[],"label_agreement":null},{"id":"W1572132168","doi":"","title":"Disentangling the wealth effect: some international evidence","year":2007,"lang":"en","type":"article","venue":"FRB SF weekly letter","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Economics; Wealth effect; National wealth; Monetary economics; International economics; Demographic economics; Finance; Monetary policy","score_opus":0.028796183260578014,"score_gpt":0.24169399026392732,"score_spread":0.21289780700334932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1572132168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8655358,0.0008098855,0.0047428897,0.05407279,0.0060622585,0.00031682136,0.000025652243,0.00009502595,0.06833888],"genre_scores_gemma":[0.98417735,0.00017083783,0.00023377387,0.0116933705,0.002549895,0.000010646608,0.000012989524,0.000030420963,0.0011207265],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99873227,0.000017532957,0.00048549793,0.00033552502,0.000045451434,0.00038370994],"domain_scores_gemma":[0.99901843,0.00033027175,0.00022295608,0.00034505685,0.000012518766,0.00007079298],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018349234,0.00014618775,0.00022519358,0.00013391979,0.00015910577,0.00014883078,0.0004380313,0.00007987941,0.000468041],"category_scores_gemma":[0.00015929795,0.00013022653,0.00012680849,0.00009684311,0.00006752374,0.00043209243,0.00009942269,0.00024331105,0.001853132],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011508684,0.000057815727,0.89659965,0.000042709988,0.00010470361,0.000035872614,0.00074977253,0.00009531314,0.00009946442,0.03389229,0.053450014,0.01475732],"study_design_scores_gemma":[0.0007957258,0.00009283848,0.09941362,0.00008711816,0.000015725436,0.000015578335,0.00005439855,0.004859182,0.00031508482,0.0128475595,0.880907,0.0005961829],"about_ca_topic_score_codex":0.00007310833,"about_ca_topic_score_gemma":0.00003453366,"teacher_disagreement_score":0.82745695,"about_ca_system_score_codex":0.00018230529,"about_ca_system_score_gemma":0.000008806535,"threshold_uncertainty_score":0.998924},"labels":[],"label_agreement":null},{"id":"W1572688267","doi":"","title":"Multifamily Mortgage Lending: A Comparison of the U.S. and Canada","year":2007,"lang":"en","type":"article","venue":"Journal of the Asian Real Estate Society","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Prepayment of loan; Mortgage underwriting; Loan; Mortgage insurance; Default; Market liquidity; Secondary market; Business; Shared appreciation mortgage; Secondary mortgage market; Financial system; Cost of funds index; Monetary economics; Economics; Finance","score_opus":0.02125740686803127,"score_gpt":0.23163731378637648,"score_spread":0.2103799069183452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1572688267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96278614,0.00007044129,0.00009786847,0.001071334,0.00076167536,0.00006456248,0.000021740063,0.0000021819944,0.03512406],"genre_scores_gemma":[0.9981455,0.00093405717,0.00057423854,0.00011183894,0.00007841657,1.611124e-7,2.7465236e-7,0.000012555728,0.00014290714],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998897,0.000015993053,0.0007382853,0.000094853116,0.000055821474,0.00019802533],"domain_scores_gemma":[0.9984721,0.00006886928,0.0011598542,0.00019612437,0.000031983545,0.00007107011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001115514,0.00009275264,0.00032843725,0.000023715134,0.00015451777,0.000027216325,0.0003175583,0.000057816927,0.000007884709],"category_scores_gemma":[0.0000553858,0.00006558274,0.00025431265,0.00010217306,0.00010530013,0.00009162524,0.00008346536,0.0002980099,6.099728e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031066706,0.000053726064,0.9696873,0.000039411985,0.00013661865,0.0000023306784,0.00561808,0.0002999017,0.00010927987,0.00091030565,0.0060114437,0.017100522],"study_design_scores_gemma":[0.00067642896,0.000041494906,0.96505004,0.00004167118,0.000027269056,0.000027680491,0.005100182,0.0018336565,0.00042426272,0.0012993438,0.025312446,0.0001655454],"about_ca_topic_score_codex":0.07324699,"about_ca_topic_score_gemma":0.09711698,"teacher_disagreement_score":0.035359416,"about_ca_system_score_codex":0.000242529,"about_ca_system_score_gemma":0.00016128636,"threshold_uncertainty_score":0.93292433},"labels":[],"label_agreement":null},{"id":"W1574864537","doi":"10.2139/ssrn.2232332","title":"Moving to a Job: The Role of Home Equity, Debt, and Access to Credit","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Home equity; Metropolitan area; Equity (law); Debt; Business; Labour economics; Loan; Demographic economics; Economics; Finance; Geography","score_opus":0.01707314144958384,"score_gpt":0.23407611430289282,"score_spread":0.217002972853309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1574864537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96567965,0.0016246402,0.002176991,0.0028703387,0.00022250772,0.00021326788,0.0000057411703,0.000011177119,0.027195688],"genre_scores_gemma":[0.99718684,0.0016603419,0.00012982778,0.0003885125,0.0002585206,0.000013559385,4.057672e-7,0.000023878267,0.0003381076],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980777,0.000014543494,0.00045516138,0.00020845649,0.000036500674,0.0012076297],"domain_scores_gemma":[0.999345,0.000050508123,0.00021523621,0.00020821771,0.000038015256,0.00014300749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016311031,0.00012148989,0.0002818092,0.00021508257,0.000171552,0.00035488448,0.0005851296,0.00005571191,0.00015258085],"category_scores_gemma":[0.00010211982,0.00010973202,0.000074377334,0.00018032802,0.000028248207,0.00042805728,0.00036553983,0.0004967023,0.00019635366],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065580076,0.000064248765,0.22164518,0.0000170501,0.00022282497,7.2159054e-7,0.001186775,0.0003934527,0.0003334881,0.5270186,0.0013550916,0.247697],"study_design_scores_gemma":[0.00027747787,0.00019807178,0.03737413,0.000014182775,0.00000796298,0.000054729437,0.0006243911,0.00092542265,0.00006313968,0.9513295,0.008897867,0.0002331016],"about_ca_topic_score_codex":0.00076853164,"about_ca_topic_score_gemma":0.00096108415,"teacher_disagreement_score":0.42431092,"about_ca_system_score_codex":0.00037141,"about_ca_system_score_gemma":0.00018617482,"threshold_uncertainty_score":0.44747418},"labels":[],"label_agreement":null},{"id":"W1577000067","doi":"","title":"Getting the Most from a Principles Discussion of Rent Control","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick; University of Fredericton","funders":"","keywords":"Reading (process); Context (archaeology); Legislation; Control (management); Law and economics; Competition (biology); Economics; Eviction; Rent-seeking; Microeconomics; Free market; Public economics; Law; Political science; Politics; Management","score_opus":0.013918872139875594,"score_gpt":0.19645905600100963,"score_spread":0.18254018386113405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1577000067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9167458,0.005664004,0.027555984,0.0029950116,0.00076907984,0.0002212077,0.00003601353,0.000021355934,0.045991562],"genre_scores_gemma":[0.9961084,0.0028306092,0.00012931407,0.00009925154,0.00015806609,0.000003355948,0.0000023125529,0.000021382906,0.00064732315],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99809825,0.000051515035,0.0006462383,0.00018654458,0.000034046072,0.0009833972],"domain_scores_gemma":[0.99901944,0.00008145776,0.00060195656,0.0002270508,0.00002124906,0.000048838192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027302986,0.000120120916,0.0002943844,0.0000791105,0.00021579833,0.000062633335,0.0002524506,0.00006346346,0.00012369594],"category_scores_gemma":[0.0002492397,0.00007976886,0.00013778356,0.00009924388,0.000045674835,0.00013383993,0.000021554399,0.0007260589,0.000046844074],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047552563,0.00007264682,0.062202323,0.0000043105733,0.00020892723,8.033951e-7,0.0003969677,0.0005510292,0.00009292781,0.92235696,0.00007526195,0.013990305],"study_design_scores_gemma":[0.001495664,0.000115752584,0.0047167125,0.000026169313,0.0000255451,0.000040010713,0.0012593858,0.0029017811,0.00010794655,0.9289474,0.060093407,0.00027022703],"about_ca_topic_score_codex":0.00012652503,"about_ca_topic_score_gemma":0.0003116637,"teacher_disagreement_score":0.0793626,"about_ca_system_score_codex":0.00041015,"about_ca_system_score_gemma":0.000314738,"threshold_uncertainty_score":0.32528797},"labels":[],"label_agreement":null},{"id":"W1579233817","doi":"10.2139/ssrn.2184500","title":"Heterogeneity and Aggregation in the Labor Market: Implications for Aggregate Preference Shifts","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Aggregate (composite); Preference; Economics; Microeconomics","score_opus":0.02844225314098791,"score_gpt":0.23587065459720397,"score_spread":0.20742840145621605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1579233817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9791357,0.003273926,0.008663885,0.005470435,0.00010137228,0.0002761527,0.00003159529,0.000008366182,0.0030385596],"genre_scores_gemma":[0.98682064,0.012527103,0.00025959112,0.00017648692,0.00009930038,0.000032820382,0.0000050968924,0.000014435119,0.000064521686],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985466,0.000019706786,0.00037028387,0.00021142059,0.000015777041,0.00083621586],"domain_scores_gemma":[0.99946016,0.000058585556,0.00025260798,0.00016989255,0.000021211454,0.000037528112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020994016,0.00010457862,0.00016696354,0.00011923562,0.00021251533,0.00012182143,0.00022549793,0.0000649346,0.000008196787],"category_scores_gemma":[0.000095869014,0.000097946664,0.00006205915,0.00013294302,0.00003551078,0.00023753029,0.000017765124,0.00041153154,0.000013265198],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005807933,0.00007623914,0.09803744,0.00001041054,0.00004836444,3.0353007e-7,0.00041333,0.000108797925,0.00001110097,0.86525434,0.000031492,0.035950087],"study_design_scores_gemma":[0.00078172324,0.00008691617,0.11265417,0.000010808523,0.0000052188366,0.00004836211,0.000119158176,0.00015649693,0.000010646898,0.8831296,0.0028734058,0.00012349761],"about_ca_topic_score_codex":0.000059136015,"about_ca_topic_score_gemma":0.0032116934,"teacher_disagreement_score":0.03582659,"about_ca_system_score_codex":0.0004798785,"about_ca_system_score_gemma":0.00022818531,"threshold_uncertainty_score":0.3994149},"labels":[],"label_agreement":null},{"id":"W1579417232","doi":"","title":"Determinants of Mortgage indebtedness in Canada","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Interest rate; Debt; Monetary economics; Economics; Floating interest rate; Shared appreciation mortgage; Stock (firearms); Financial system; Value (mathematics); Secondary mortgage market; Outflow; Mortgage insurance; Finance; Geography","score_opus":0.04968845295063744,"score_gpt":0.2902010703858508,"score_spread":0.24051261743521335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1579417232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7800503,0.00021696661,0.0000025362115,0.000039814666,0.00096725987,0.0004758738,0.00021779859,0.000010353508,0.21801914],"genre_scores_gemma":[0.99102366,0.007771418,0.00023731946,0.00006486995,0.00012257136,0.00007759912,0.00004052665,0.000103890736,0.0005581438],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9946479,0.000094536204,0.0026038664,0.0012454849,0.000100552556,0.0013076555],"domain_scores_gemma":[0.9970032,0.00048928894,0.00090101676,0.0013059506,0.00006427098,0.00023630116],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0045316988,0.00043456064,0.001638888,0.001677429,0.00007354393,0.00008022218,0.0011789756,0.00062867184,0.0002311711],"category_scores_gemma":[0.0005272744,0.0006127609,0.00019493261,0.0003180979,0.00023086161,0.00015159305,0.0011025625,0.0019570095,0.000019286408],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009387789,0.00012914914,0.910503,0.0003209288,0.000036311954,0.00011102201,0.00031102775,0.0071132146,0.0000020593095,0.0006607902,0.000039694256,0.080678955],"study_design_scores_gemma":[0.0027655906,0.000117255484,0.84567535,0.0008696731,0.000008967576,0.000020352058,0.0017562417,0.09846934,0.00028543128,0.021599611,0.026026074,0.0024061017],"about_ca_topic_score_codex":0.66147804,"about_ca_topic_score_gemma":0.94639766,"teacher_disagreement_score":0.28491965,"about_ca_system_score_codex":0.005607291,"about_ca_system_score_gemma":0.0026161154,"threshold_uncertainty_score":0.99963236},"labels":[],"label_agreement":null},{"id":"W1582170030","doi":"10.1111/fire.12020","title":"Liquidity Risk of Private Assets: Evidence from Real Estate Markets","year":2013,"lang":"en","type":"article","venue":"Financial Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Market liquidity; Liquidity risk; Real estate; Business; Asset (computer security); Liquidity crisis; Accounting liquidity; Finance; Financial system; Monetary economics; Financial economics; Economics","score_opus":0.03694966360321052,"score_gpt":0.2398053273546181,"score_spread":0.20285566375140757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1582170030","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9393017,0.022863392,0.0005053757,0.0004658974,0.00062912796,0.00070121046,0.00030906522,0.00004705758,0.035177153],"genre_scores_gemma":[0.19263993,0.8049978,0.0018293704,0.00017084148,0.0001455966,0.00006331162,0.000023329372,0.000027098442,0.00010268548],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9978407,0.00007871205,0.001219252,0.00047459564,0.000044368626,0.00034236524],"domain_scores_gemma":[0.99779797,0.0002718524,0.001102195,0.0006528422,0.000060507995,0.0001146579],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015011781,0.00021976403,0.0009502202,0.00007617666,0.00008082828,0.000047036316,0.0004133739,0.00012270425,0.0019761713],"category_scores_gemma":[0.002556923,0.0002399422,0.00025737673,0.0002227156,0.000070655165,0.0005337764,0.00013601547,0.0002095601,0.0022322761],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070522925,0.00016457647,0.3169572,0.0023701133,0.0000937739,0.0000073356255,0.00026509445,0.000011232141,0.000041675554,0.0034368525,0.038588826,0.6379928],"study_design_scores_gemma":[0.00029105367,0.00009002988,0.64587045,0.0029728496,0.000055755467,0.0000012786629,0.0000022959982,0.0005477819,0.00006710281,0.016021375,0.33353695,0.000543077],"about_ca_topic_score_codex":0.004787193,"about_ca_topic_score_gemma":0.00010150126,"teacher_disagreement_score":0.7821344,"about_ca_system_score_codex":0.00009946244,"about_ca_system_score_gemma":0.000065312095,"threshold_uncertainty_score":0.9989362},"labels":[],"label_agreement":null},{"id":"W1583599140","doi":"","title":"House Prices and Consumer Spending","year":2008,"lang":"en","type":"article","venue":"Bank of Canada review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Consumer spending; Economics; Consumption (sociology); House price; Monetary economics; Securitization; Liberalization; Equity (law); Financial system; Macroeconomics; Market economy; Recession","score_opus":0.03732038614459161,"score_gpt":0.2044137917313664,"score_spread":0.1670934055867748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1583599140","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2778539,0.44759592,0.000084848485,0.0012950117,0.00051804323,0.00040442083,0.00006818368,0.000035577104,0.27214408],"genre_scores_gemma":[0.5653013,0.43338025,0.00038882485,0.00057881343,0.000028490676,0.0000047928743,0.0000019898107,0.000021035377,0.00029451193],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991981,0.000005866116,0.00044936492,0.00016659554,0.000021800603,0.00015830253],"domain_scores_gemma":[0.99942935,0.000039853723,0.00027187218,0.00017777819,0.0000107972155,0.00007035769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028792227,0.00008653712,0.00044547126,0.000041396936,0.00006507277,0.000007115929,0.000097650576,0.000024148412,0.00036786764],"category_scores_gemma":[0.00009126901,0.00009779028,0.000040768562,0.000077684876,0.000046025736,0.00008473687,0.000027094798,0.000049245584,0.000020049696],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002327848,0.00008909606,0.542404,0.009335676,0.00027323276,0.00009975984,0.00027444167,0.000015047886,0.0000085991105,0.10070804,0.27941948,0.06734935],"study_design_scores_gemma":[0.00015576118,0.000009777785,0.019218603,0.0002917109,0.000009671678,0.000032965585,0.000004296897,0.000055655237,0.000012330335,0.00037930033,0.9796454,0.00018453298],"about_ca_topic_score_codex":0.049070597,"about_ca_topic_score_gemma":0.039516184,"teacher_disagreement_score":0.7002259,"about_ca_system_score_codex":0.000063969615,"about_ca_system_score_gemma":0.000107646374,"threshold_uncertainty_score":0.9780101},"labels":[],"label_agreement":null},{"id":"W1583640411","doi":"","title":"The Risk-Return Relationship in Housing Markets: Financial Risk Versus Consumption Insurance","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Hedge; Consumption (sociology); Risk–return spectrum; Economics; Incentive; Asset (computer security); Capital asset pricing model; Financial asset; Financial economics; Finance; Microeconomics","score_opus":0.026102020022085528,"score_gpt":0.21654387238483772,"score_spread":0.19044185236275218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1583640411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98549366,0.005825029,0.0021233796,0.00018938996,0.0011157913,0.00012157854,0.000018443969,0.000026691898,0.0050860285],"genre_scores_gemma":[0.895515,0.10382627,0.00008884743,0.000018756002,0.0002839265,0.00000643608,0.0000028228703,0.00002835996,0.0002295592],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971862,0.00013902174,0.0007833269,0.00028779794,0.00005131617,0.001552373],"domain_scores_gemma":[0.9983101,0.0004904387,0.00085847644,0.00024692385,0.00002739023,0.00006669408],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0049308804,0.00018116926,0.00028693562,0.0002237787,0.0013278421,0.00010429709,0.00029975126,0.00015614666,0.000025534862],"category_scores_gemma":[0.0014492441,0.00018128763,0.00016009202,0.0002475023,0.00013637953,0.0003874624,0.000034404526,0.0025286896,0.00020499922],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003958554,0.00002750361,0.9325197,0.0000020545467,0.000032682696,0.0000031177888,0.00018381266,0.00022546842,2.4079367e-7,0.05862525,0.000085820706,0.007898503],"study_design_scores_gemma":[0.0019946967,0.00008098924,0.763027,0.000011453865,0.000008418405,0.000070097325,0.00011341354,0.0016443022,0.0000012745617,0.22800577,0.0047904365,0.00025217442],"about_ca_topic_score_codex":0.00031914495,"about_ca_topic_score_gemma":0.005572157,"teacher_disagreement_score":0.1694927,"about_ca_system_score_codex":0.0015107943,"about_ca_system_score_gemma":0.00054472697,"threshold_uncertainty_score":0.9999723},"labels":[],"label_agreement":null},{"id":"W1585507116","doi":"","title":"Comment on \"Federal Credit and Insurance Programs: Housing\"","year":2005,"lang":"en","type":"article","venue":"Canadian parliamentary review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Mortgage insurance; Finance; Competitor analysis; Government (linguistics); Financial system; Insurance policy; Casualty insurance; Marketing","score_opus":0.03839905951490698,"score_gpt":0.22474875063358707,"score_spread":0.1863496911186801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1585507116","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24389406,0.21747313,0.00004476268,0.23978354,0.0016768128,0.0028196028,0.0007241441,0.0001612425,0.29342273],"genre_scores_gemma":[0.6758281,0.17006628,0.001015208,0.15216935,0.00045440876,0.00009810471,0.00012299516,0.000060516173,0.0001850607],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99865246,0.000017871185,0.00050518435,0.000376164,0.000023621767,0.00042470582],"domain_scores_gemma":[0.999101,0.000017278093,0.00016091396,0.00031062672,0.0000098663,0.00040034534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041195014,0.0001934246,0.0004581067,0.00011731058,0.00016925645,0.00010370484,0.0001644995,0.00005616741,0.00062998437],"category_scores_gemma":[0.000018672958,0.00022866025,0.00008310658,0.00010452996,0.000058689333,0.00019353142,0.000022914484,0.00014290694,0.0007239008],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009653494,0.00008881634,0.17937478,0.0005984477,0.000072693125,0.000015283716,0.00012205989,0.000009185349,1.1983964e-7,0.0066376706,0.23986135,0.57320994],"study_design_scores_gemma":[0.00025262963,0.000060825176,0.0032251992,0.00054056174,0.00000612069,0.0000059907625,0.000014095981,0.00010868844,0.0000010169636,0.00041233475,0.9951023,0.0002702685],"about_ca_topic_score_codex":0.023814294,"about_ca_topic_score_gemma":0.061022658,"teacher_disagreement_score":0.7552409,"about_ca_system_score_codex":0.00053275545,"about_ca_system_score_gemma":0.000055404376,"threshold_uncertainty_score":0.9826862},"labels":[],"label_agreement":null},{"id":"W1589734833","doi":"","title":"Why Didn't Canada's Housing Market Go Bust?","year":2009,"lang":"en","type":"article","venue":"Economic Commentary (Federal Reserve Bank of Cleveland)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bust; Financial crisis; Economics; Financial market; Financial system; Monetary economics; Business; Keynesian economics; Finance; Boom","score_opus":0.021058483986009336,"score_gpt":0.21597536748879387,"score_spread":0.19491688350278452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1589734833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76067454,0.0006185333,0.00034432224,0.036919594,0.0014831531,0.00041355423,0.00069347344,0.00006444029,0.1987884],"genre_scores_gemma":[0.98329675,0.0004170322,0.00096053595,0.013830146,0.00041970305,0.000009368968,0.00013183893,0.000057225712,0.00087737077],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99702364,0.0000527443,0.0014738243,0.0006623633,0.0000605733,0.00072682335],"domain_scores_gemma":[0.99810976,0.00019918777,0.0006952164,0.0007143817,0.000026945436,0.0002544823],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000843996,0.00039519262,0.0009764692,0.00023367765,0.00028097647,0.00016979397,0.00068563595,0.00014937992,0.0033693612],"category_scores_gemma":[0.00006599454,0.0005015544,0.00025056416,0.000102492806,0.000076280674,0.00052214845,0.0001729601,0.00029271617,0.0000812383],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029368093,0.00012507533,0.15760083,0.00003933097,0.00015614885,0.000016875912,0.00009825722,0.00041537924,0.000006003285,0.0041945535,0.82911164,0.007942221],"study_design_scores_gemma":[0.0030070657,0.00028759392,0.124646746,0.00008608304,0.000020895108,0.000014005819,0.00013793036,0.007730794,0.00022238564,0.024780702,0.8379267,0.0011390975],"about_ca_topic_score_codex":0.3434643,"about_ca_topic_score_gemma":0.41012096,"teacher_disagreement_score":0.22262226,"about_ca_system_score_codex":0.0010523298,"about_ca_system_score_gemma":0.00018200267,"threshold_uncertainty_score":0.9997436},"labels":[],"label_agreement":null},{"id":"W1590126083","doi":"10.2139/ssrn.1033215","title":"Hedonic Imputation Versus Time Dummy Hedonic Indexes","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Hedonic index; Weighting; Imputation (statistics); Econometrics; Superlative; Index (typography); Statistics; Inflation (cosmology); Computer science; Economics; Price index; Mathematics; Missing data","score_opus":0.012042875889128371,"score_gpt":0.2161775603096178,"score_spread":0.20413468442048943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1590126083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9112855,0.0033339167,0.015809564,0.0005525056,0.0014806581,0.00015153275,0.000007878851,0.00008350384,0.06729491],"genre_scores_gemma":[0.9931684,0.0038113594,0.00020579906,0.000088023124,0.00064606534,0.0000021316744,0.000011932223,0.00005360983,0.0020126759],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9963104,0.000019203384,0.0008012107,0.00033851928,0.00005447923,0.0024761995],"domain_scores_gemma":[0.9989729,0.00010620336,0.0005156587,0.00022868592,0.000037487578,0.00013907703],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0047197375,0.0002144922,0.000367294,0.00039063385,0.00028147048,0.00014866311,0.00032818606,0.00017291465,0.0003218429],"category_scores_gemma":[0.000116831055,0.0002579716,0.00021186534,0.00025959703,0.00005331667,0.00044831506,0.00004692661,0.0012277162,0.001945124],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092295854,0.00020545446,0.024751488,0.000015966727,0.00061858224,0.000016492415,0.0005293236,0.00068776467,0.00008468649,0.8744082,0.0005974412,0.09716168],"study_design_scores_gemma":[0.004819082,0.00087873347,0.006811076,0.000018854726,0.000039517952,0.00031586102,0.0006529519,0.0030139831,0.000081232305,0.9527066,0.029716304,0.00094583567],"about_ca_topic_score_codex":0.000088892164,"about_ca_topic_score_gemma":0.0007912105,"teacher_disagreement_score":0.096215844,"about_ca_system_score_codex":0.0021818865,"about_ca_system_score_gemma":0.0005345402,"threshold_uncertainty_score":0.99998724},"labels":[],"label_agreement":null},{"id":"W1590840244","doi":"","title":"Demographic Changes and Real Housing Prices in Canada","year":2000,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Asset (computer security); Per capita income; Population; Population growth; Demographic economics; Real gross domestic product; Per capita; Labour economics; Monetary economics; Demography","score_opus":0.03519044352474406,"score_gpt":0.252605460897712,"score_spread":0.21741501737296795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1590840244","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75843215,0.0006900306,6.0983893e-7,0.00043335478,0.00043402147,0.00045253983,0.00013396947,0.000021927275,0.2394014],"genre_scores_gemma":[0.8498322,0.14903595,0.0003341502,0.00011276016,0.00019591699,0.00011643469,0.000046569574,0.00009787839,0.00022817276],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995924,0.00007698498,0.0012189776,0.0014644123,0.0000713566,0.0012442727],"domain_scores_gemma":[0.99804914,0.00036475653,0.00042968805,0.00087235484,0.000025279618,0.00025878742],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0023025621,0.0004491978,0.0011790278,0.0015665666,0.00016237331,0.00027999922,0.00067689846,0.0004987598,0.0001864333],"category_scores_gemma":[0.0001311846,0.0006243343,0.00010644099,0.0002843234,0.00023506714,0.00015982092,0.00073592766,0.0015847879,0.000011336672],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011171469,0.00008699287,0.693149,0.0003094297,0.00008551556,0.00008097259,0.00055717694,0.005080957,0.0000023702466,0.0017516894,0.000070816044,0.29871342],"study_design_scores_gemma":[0.003276826,0.00019728334,0.7140139,0.0010120259,0.000019671095,0.000032162214,0.002208026,0.09509799,0.000026167207,0.05142803,0.1286185,0.0040694587],"about_ca_topic_score_codex":0.7114936,"about_ca_topic_score_gemma":0.9720586,"teacher_disagreement_score":0.29464397,"about_ca_system_score_codex":0.0030920594,"about_ca_system_score_gemma":0.0011829359,"threshold_uncertainty_score":0.9996208},"labels":[],"label_agreement":null},{"id":"W1592043672","doi":"","title":"The Wealth of Older Americans and the Sub-Prime Debacle The Wealth of Older Americans and the Sub-Prime Debacle","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Economic bubble; National wealth; Boom; Real estate; Home equity; Quarter (Canadian coin); Asset (computer security); Equity (law); Survey data collection; Pension; Demographic economics; Monetary economics; Labour economics; Finance; Political science; Geography","score_opus":0.025069258272129864,"score_gpt":0.2791868655108221,"score_spread":0.25411760723869226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1592043672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9307502,0.005259599,0.000098901575,0.008949169,0.0004919543,0.0025355406,0.00020058901,0.000029757335,0.0516843],"genre_scores_gemma":[0.81858736,0.17990743,0.00022148831,0.00045530242,0.00018297497,0.000176041,0.000015256992,0.000092302485,0.00036182115],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9943484,0.00080425455,0.002213865,0.0012088256,0.00016171216,0.0012629139],"domain_scores_gemma":[0.9913319,0.0040227156,0.0019125583,0.0023717557,0.0001282729,0.00023283731],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.01146218,0.0005681679,0.0018406044,0.00037338224,0.0008568588,0.00036779107,0.0018631442,0.00037392366,0.000045658442],"category_scores_gemma":[0.0008689295,0.00036947848,0.00044616318,0.00037310921,0.005680787,0.00015221586,0.0014124609,0.0019796062,0.000013408507],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029883708,0.00056357874,0.08342037,0.00050752616,0.001420171,0.0000074889335,0.01443726,0.0029669008,0.000049389873,0.06738473,0.00082826155,0.8254259],"study_design_scores_gemma":[0.0243596,0.0009995196,0.55320835,0.00094386435,0.00030366494,0.00010245329,0.019588035,0.15119228,0.0009921608,0.17449671,0.069851846,0.003961497],"about_ca_topic_score_codex":0.004528151,"about_ca_topic_score_gemma":0.0020912495,"teacher_disagreement_score":0.8214645,"about_ca_system_score_codex":0.00054221787,"about_ca_system_score_gemma":0.00058384065,"threshold_uncertainty_score":0.9998757},"labels":[],"label_agreement":null},{"id":"W1592676125","doi":"10.1111/roiw.12229","title":"Alternative Approaches to Commercial Property Price Indexes for Tokyo","year":2016,"lang":"en","type":"article","venue":"Review of Income and Wealth","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Depreciation (economics); Economics; Balance sheet; Price index; Property (philosophy); Asset (computer security); Real estate; Value (mathematics); Productivity; Econometrics; Microeconomics; Macroeconomics; Finance; Capital formation; Computer science","score_opus":0.1224989410792881,"score_gpt":0.2657267548211486,"score_spread":0.1432278137418605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1592676125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47413176,0.16812694,0.06927361,0.06447595,0.0020927014,0.009787592,0.0016699254,0.00014375032,0.21029776],"genre_scores_gemma":[0.787343,0.20629106,0.0034182298,0.0019887437,0.0002469205,0.00013413388,0.0000071929476,0.000032670763,0.000538025],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99895346,0.000016787617,0.00056666025,0.00024966433,0.000017844448,0.00019555735],"domain_scores_gemma":[0.9992689,0.000095874406,0.00032287472,0.0001935942,0.000022065577,0.000096697106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010311347,0.00011041737,0.00056029327,0.00008609497,0.000057125548,0.000013224978,0.00015494891,0.000039950297,0.000048476584],"category_scores_gemma":[0.000167007,0.00007022347,0.00008055286,0.00008503181,0.00003901334,0.00012232029,0.00006723167,0.00003784937,0.00004776775],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008016522,0.00011629623,0.08191856,0.009962012,0.00007881695,3.2311797e-7,0.0003597827,0.0000013472044,0.0000056485924,0.17117566,0.0027673952,0.733534],"study_design_scores_gemma":[0.0016654817,0.0006999648,0.04468834,0.008429455,0.000027248454,0.000006122643,0.000019262008,0.00023392083,0.00015723622,0.035064988,0.90824825,0.0007597254],"about_ca_topic_score_codex":0.00009591663,"about_ca_topic_score_gemma":0.000019448422,"teacher_disagreement_score":0.90548086,"about_ca_system_score_codex":0.000062899984,"about_ca_system_score_gemma":0.000028015234,"threshold_uncertainty_score":0.286363},"labels":[],"label_agreement":null},{"id":"W1592707876","doi":"10.2139/ssrn.2528944","title":"Reverse Mortgages: What Homeowners (Donnt) Know and How it Matters","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Business; Actuarial science","score_opus":0.011102042114942468,"score_gpt":0.19029187994084779,"score_spread":0.1791898378259053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1592707876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79064655,0.016569966,0.02475465,0.13149989,0.0034505355,0.00038944045,0.0000147535875,0.00013273399,0.03254146],"genre_scores_gemma":[0.8963023,0.09575263,0.00021913653,0.002313628,0.00047225188,0.000004254502,0.0000045365045,0.00005492382,0.0048763803],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975616,0.000037932637,0.00036454585,0.00035422095,0.000036879494,0.001644855],"domain_scores_gemma":[0.9991423,0.00006577845,0.00036981705,0.000252027,0.00002123338,0.00014886826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029400748,0.00020835013,0.00040233976,0.00025918483,0.0002433956,0.000602439,0.0002608908,0.00011667919,0.000106795225],"category_scores_gemma":[0.00010113023,0.00022911982,0.00013515798,0.00011486767,0.00008040671,0.0010779636,0.000053132273,0.0009859692,0.0002342274],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014841142,0.00014222454,0.041451734,0.000092378126,0.00072592637,0.000011942154,0.001667619,0.00022702805,0.000069161695,0.60607356,0.033073295,0.31631672],"study_design_scores_gemma":[0.0015663452,0.00027962134,0.0011036701,0.00006932918,0.000029949071,0.0003562502,0.0048263944,0.0026274913,0.000011415621,0.33049154,0.6579145,0.0007234755],"about_ca_topic_score_codex":0.00004761075,"about_ca_topic_score_gemma":0.00033367824,"teacher_disagreement_score":0.6248412,"about_ca_system_score_codex":0.0006625506,"about_ca_system_score_gemma":0.00015344635,"threshold_uncertainty_score":0.9343235},"labels":[],"label_agreement":null},{"id":"W1593026203","doi":"10.2139/ssrn.2381868","title":"Household Risk Management and Actual Mortgage Choice in the Euro Area","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Mortgage underwriting; Business; Risk management; Shared appreciation mortgage; Mortgage insurance; Actuarial science; Economics; Finance","score_opus":0.017834350674052427,"score_gpt":0.19259355911572326,"score_spread":0.17475920844167084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1593026203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93914014,0.0012426524,0.0047122026,0.00048673383,0.00019918231,0.000119764736,0.000009445529,0.000017419325,0.054072473],"genre_scores_gemma":[0.9834825,0.0154582625,0.00008532783,0.0002935222,0.00019289402,0.000005053732,0.0000021210283,0.000023940398,0.0004564034],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981379,0.00005787877,0.00039514495,0.00024179963,0.00003278126,0.00113451],"domain_scores_gemma":[0.999337,0.00011194255,0.00026787317,0.00023139629,0.0000049972964,0.000046799094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041442565,0.00013726375,0.00022434918,0.00018417776,0.00019850995,0.00015937722,0.00031993492,0.000055727956,0.000020964408],"category_scores_gemma":[0.00008929905,0.00012326441,0.000070266084,0.00012514753,0.00003646134,0.00018313373,0.00004742769,0.0011158235,0.00004428114],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003600204,0.0001051915,0.36665416,0.0000127226795,0.00013983127,0.000005572026,0.0005318299,0.00037868324,7.267584e-7,0.57841164,0.0007358443,0.052987818],"study_design_scores_gemma":[0.001638361,0.00021685973,0.13175495,0.000013479475,0.000029558681,0.00014331599,0.0008356949,0.0037522204,0.0000014166721,0.71434194,0.14687072,0.0004015082],"about_ca_topic_score_codex":0.00014553874,"about_ca_topic_score_gemma":0.0011112827,"teacher_disagreement_score":0.2348992,"about_ca_system_score_codex":0.00026954577,"about_ca_system_score_gemma":0.000037630725,"threshold_uncertainty_score":0.50265765},"labels":[],"label_agreement":null},{"id":"W1594472099","doi":"10.2139/ssrn.271628","title":"Acquisitions by Real Estate Investment Trusts as a Strategy for Minimisation of Investor Tax Liability","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Business; Minimisation (clinical trials); Liability; Finance; Estate; Estate tax; Real estate; Monetary economics; Actuarial science; Economics; Tax avoidance; Double taxation; Medicine","score_opus":0.023815784201448014,"score_gpt":0.24274073272175423,"score_spread":0.21892494852030622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1594472099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9437065,0.00027597437,0.0026569937,0.00075799675,0.00018717992,0.00025444254,0.000090677335,0.00001704557,0.052053172],"genre_scores_gemma":[0.97905517,0.018354231,0.00032581386,0.00015485637,0.00015666899,0.000026314896,0.000044131953,0.000030026675,0.001852811],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978658,0.000028485732,0.0007406791,0.00026510903,0.00003462662,0.0010653058],"domain_scores_gemma":[0.99900043,0.000062343424,0.00057105883,0.00019928819,0.000052105235,0.00011480271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018559383,0.00014956717,0.00033085444,0.00015422367,0.00016022113,0.000060626455,0.0001863903,0.00010514336,0.00012935774],"category_scores_gemma":[0.00010627487,0.00017734584,0.00016269836,0.00013085494,0.00007064918,0.00029818216,0.00001695482,0.00036691982,0.000039122187],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046327626,0.00057608495,0.02779379,0.000050018618,0.00036368181,0.0000016246304,0.0010371526,0.00075224007,0.00033303033,0.91937923,0.0031952974,0.04605455],"study_design_scores_gemma":[0.001435104,0.0008866744,0.0021751674,0.000009596275,0.000024292996,0.00006346599,0.000871439,0.0021479751,0.0001057999,0.95391554,0.038064793,0.00030012752],"about_ca_topic_score_codex":0.00077377126,"about_ca_topic_score_gemma":0.00084498787,"teacher_disagreement_score":0.05020036,"about_ca_system_score_codex":0.0011523023,"about_ca_system_score_gemma":0.0006621324,"threshold_uncertainty_score":0.7231953},"labels":[],"label_agreement":null},{"id":"W1596988484","doi":"","title":"Price negotiation in differentiated product markets: An analysis of the market for insured mortgages in Canada","year":2010,"lang":"en","type":"article","venue":"2010 Meeting Papers","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Negotiation; Discounting; Product (mathematics); Database transaction; Product differentiation; Business; Price discrimination; Economics; Market power; Microeconomics; Financial economics; Finance","score_opus":0.011184264303964561,"score_gpt":0.1892802898306508,"score_spread":0.17809602552668624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1596988484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9835757,0.000029920082,0.000004486351,0.00022772046,0.0008231255,0.00027676282,0.00008651562,0.000007994961,0.014967752],"genre_scores_gemma":[0.9993497,0.00003833924,0.0002619165,0.000059334117,0.000034797537,0.000024340996,0.000033495315,0.00001899282,0.00017908936],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998662,0.00004524265,0.00064001436,0.00034935764,0.00003543171,0.00026793458],"domain_scores_gemma":[0.9989294,0.00016258343,0.00043837857,0.0004029555,0.00002363218,0.0000430899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013185794,0.0001266688,0.00040459135,0.00031659185,0.000059396058,0.000029373368,0.0002748107,0.0000723645,0.00023526931],"category_scores_gemma":[0.00070938613,0.00012523025,0.000094623676,0.0005868879,0.000029030089,0.00011046239,0.000036580805,0.00019653229,6.71593e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004159141,0.000045398247,0.99647903,0.000024755249,0.00007205995,2.3352348e-7,0.00027911458,0.0009783611,0.0008257735,0.00017048969,0.00013426018,0.00094894506],"study_design_scores_gemma":[0.00030079918,0.0000054909888,0.9575828,0.00001024029,0.000026973792,1.4100208e-7,0.0001347217,0.040198922,0.00019491224,0.000110296445,0.0012852473,0.000149464],"about_ca_topic_score_codex":0.4539164,"about_ca_topic_score_gemma":0.9636781,"teacher_disagreement_score":0.5097617,"about_ca_system_score_codex":0.00022000166,"about_ca_system_score_gemma":0.00014181975,"threshold_uncertainty_score":0.54972},"labels":[],"label_agreement":null},{"id":"W1597395068","doi":"","title":"HOUSEHOLD DEMAND FOR ISLAMIC FINANCE IN SELECTED COUNTRIES","year":2013,"lang":"en","type":"article","venue":"European Scientific Journal ESJ","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Islam; Commission; Context (archaeology); Finance; Investment (military); Islamic finance; Islamic economics; Financial services; Population; Business; Economics; Law; Political science; Sociology; Politics","score_opus":0.025636852985048912,"score_gpt":0.1966582637570257,"score_spread":0.17102141077197677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1597395068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9554331,0.00047328512,0.0028829337,0.00036949528,0.0019344792,0.0002418906,0.00004458292,0.00003249425,0.038587783],"genre_scores_gemma":[0.9927792,0.0003100972,0.0011017789,0.00015983883,0.00023022569,0.000007400041,0.000008549499,0.000048621994,0.0053542936],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981808,0.00004637512,0.0008052015,0.00041294884,0.000040622694,0.0005140373],"domain_scores_gemma":[0.99906594,0.000065531225,0.00042373087,0.00027974686,0.00009632524,0.00006873388],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0028057075,0.00015489267,0.00030617896,0.00043376273,0.00039633526,0.0012034323,0.00042672356,0.00004294711,0.0002803084],"category_scores_gemma":[0.0002159675,0.00017071966,0.000100145255,0.0004095591,0.00012927891,0.0006579064,0.000055021126,0.00023879884,0.0015800116],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021405818,0.00070014835,0.28659204,0.00023949654,0.00019217102,0.00013509893,0.025229463,0.010318101,0.0012270102,0.04476923,0.601006,0.029377185],"study_design_scores_gemma":[0.0040443763,0.00019644602,0.16682956,0.00016738233,0.000013828902,0.00016366669,0.00068138813,0.023274869,0.0002245755,0.08593129,0.7171066,0.0013660035],"about_ca_topic_score_codex":0.000022189373,"about_ca_topic_score_gemma":0.000037145488,"teacher_disagreement_score":0.11976248,"about_ca_system_score_codex":0.00013418669,"about_ca_system_score_gemma":0.00005244505,"threshold_uncertainty_score":0.9998334},"labels":[],"label_agreement":null},{"id":"W1598621971","doi":"10.2139/ssrn.469222","title":"DB to DC and Back: Valuation of the Florida Pension Election","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Download; Valuation (finance); Pension; Computer science; Actuarial science; Business; Internet privacy; World Wide Web; Finance","score_opus":0.020629242035425783,"score_gpt":0.20721492960319385,"score_spread":0.18658568756776805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1598621971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9720189,0.0006547231,0.006632023,0.00054359477,0.00061793934,0.0001228054,0.0000014733453,0.00000504097,0.019403525],"genre_scores_gemma":[0.99641407,0.0020457301,0.00012910733,0.00008285225,0.000091583344,0.0000016045275,5.319772e-7,0.0000137313,0.0012207836],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988077,0.000032429285,0.00035644765,0.0001564219,0.000029598385,0.0006173713],"domain_scores_gemma":[0.99951744,0.000021210632,0.00024636215,0.00013853668,0.000032682467,0.000043741577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021960698,0.000084086416,0.0001714751,0.00011799199,0.00015818761,0.00004064888,0.00009939318,0.000055464072,0.00009565523],"category_scores_gemma":[0.000162249,0.000077717516,0.00007058939,0.00017450166,0.000019036444,0.00014100558,0.000018169545,0.00040056038,0.00008042112],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063734005,0.000048881866,0.0650133,0.000010499485,0.000090538015,1.5870022e-7,0.00039486625,0.0007365864,0.0006948215,0.9130615,0.00036481497,0.019520286],"study_design_scores_gemma":[0.0008504944,0.00028266115,0.017464278,0.000019145302,0.00001770482,0.00016204042,0.00033435406,0.0014719251,0.0011777313,0.95710856,0.020848043,0.00026305922],"about_ca_topic_score_codex":0.00006234272,"about_ca_topic_score_gemma":0.00030873533,"teacher_disagreement_score":0.047549024,"about_ca_system_score_codex":0.00044177525,"about_ca_system_score_gemma":0.00019944548,"threshold_uncertainty_score":0.31692284},"labels":[],"label_agreement":null},{"id":"W1600578241","doi":"","title":"Understanding the Roots of the US Subprime Crisis and its Subsequent Effects","year":2009,"lang":"en","type":"article","venue":"The Romanian Economic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Securitization; Granger causality; Gross domestic product; Economics; Financial crisis; Subprime crisis; Real estate; Quarter (Canadian coin); Value (mathematics); Monetary economics; Product (mathematics); Financial system; Macroeconomics; Finance; Econometrics; Geography","score_opus":0.04046986657521726,"score_gpt":0.211080754448468,"score_spread":0.17061088787325074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1600578241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97201425,0.001392626,0.00032277242,0.0062645264,0.0010228967,0.00023279393,0.000013423069,0.000012200387,0.018724514],"genre_scores_gemma":[0.99795765,0.00092196645,0.00002078997,0.00066363637,0.00028988288,0.0000020711984,3.9991957e-7,0.000022535281,0.00012106622],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986005,0.000074054304,0.0006949912,0.00022918002,0.000030239698,0.00037104855],"domain_scores_gemma":[0.99860656,0.00015039064,0.00072902197,0.00041229004,0.000010627462,0.0000910907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016309073,0.00019068999,0.0003895083,0.000102306156,0.00061865104,0.00024080079,0.0006649842,0.00008242303,0.00011685282],"category_scores_gemma":[0.000048403726,0.00012202473,0.00021264616,0.000085850996,0.00010077483,0.00025738825,0.0000923516,0.00037197114,0.0000940319],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018617227,0.00014730442,0.08801171,0.00007040042,0.00064336916,0.00001587278,0.005116374,0.005288033,0.00030079996,0.88880223,0.007838137,0.0035795826],"study_design_scores_gemma":[0.0019177643,0.00026529614,0.45197874,0.00009307753,0.00010620454,0.0005794761,0.0008706175,0.013022673,0.0006389641,0.5232948,0.0065701506,0.00066222914],"about_ca_topic_score_codex":0.0000457433,"about_ca_topic_score_gemma":0.000078045035,"teacher_disagreement_score":0.36550742,"about_ca_system_score_codex":0.00048765144,"about_ca_system_score_gemma":0.000052404164,"threshold_uncertainty_score":0.49760237},"labels":[],"label_agreement":null},{"id":"W1601378605","doi":"10.3386/w16175","title":"The Role of Mortgage Brokers in the Subprime Crisis","year":2010,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"","keywords":"Business; Financial system; Subprime crisis; Subprime mortgage crisis; Secondary mortgage market; Financial crisis; Mortgage underwriting; Mortgage insurance; Finance; Economics","score_opus":0.24812925418679546,"score_gpt":0.44146889999987043,"score_spread":0.19333964581307497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1601378605","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025597183,0.0030228025,0.0000014119832,0.0012519017,0.00075742457,0.0005214259,0.0002734301,0.000006555871,0.96856785],"genre_scores_gemma":[0.9855789,0.011386121,0.000079447535,0.00002823703,0.0006259376,0.00010337344,0.00015238838,0.000058428785,0.0019871548],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965732,0.00013057915,0.001810254,0.0005666275,0.0003670049,0.0005523429],"domain_scores_gemma":[0.99559844,0.0019606294,0.0010737123,0.000818624,0.00048315592,0.000065443106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021422893,0.0002345568,0.00075926434,0.0009719787,0.00023552951,0.00015148097,0.0016223527,0.0005444623,0.00044564225],"category_scores_gemma":[0.0016322167,0.0002004804,0.00034282508,0.00031483997,0.0004765622,0.00017420478,0.00021734826,0.0015271282,0.00033804995],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007742562,0.0001419132,0.021943083,0.00011185528,0.00019466878,0.0000014297436,0.00042691984,0.00017957385,0.000029797902,0.92297703,0.05032773,0.003588591],"study_design_scores_gemma":[0.00027282938,0.000046387442,0.002618526,0.000027052676,0.000004999746,0.0000061458295,0.0004682625,0.00064841955,0.000092938964,0.6539152,0.34168264,0.00021656431],"about_ca_topic_score_codex":0.009569123,"about_ca_topic_score_gemma":0.0026073765,"teacher_disagreement_score":0.9665807,"about_ca_system_score_codex":0.0009804174,"about_ca_system_score_gemma":0.0014819115,"threshold_uncertainty_score":0.99702626},"labels":[],"label_agreement":null},{"id":"W1602115351","doi":"","title":"Behavioral Housing Search Choice Set Formation: A Spatial Hazard-Based Screening Model","year":2012,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Replicate; Hazard; Set (abstract data type); Process (computing); Choice set; Discrete choice; Work (physics); Computer science; Econometrics; Operations research; Economics; Engineering; Statistics; Mathematics","score_opus":0.14025355164313602,"score_gpt":0.2880881893918424,"score_spread":0.14783463774870637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1602115351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5170309,0.000062797044,0.44591114,0.0001986633,0.00023531022,0.00013412732,0.000049775343,0.000092943694,0.036284365],"genre_scores_gemma":[0.9799933,0.00001176028,0.018947788,0.00033939525,0.0003112402,0.000012823341,0.000057766592,0.000042209867,0.00028376252],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856,0.000014188264,0.0005304132,0.0002475444,0.000043184853,0.0006046601],"domain_scores_gemma":[0.999279,0.00004050498,0.0001648942,0.00030456367,0.000027111073,0.00018388336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008015206,0.00017392679,0.0003025175,0.00024248517,0.00023012956,0.00016901507,0.00018350896,0.00012723073,0.0005887232],"category_scores_gemma":[0.000024568431,0.00021534442,0.00012873099,0.0001342632,0.000041048013,0.0010612523,0.000074195064,0.00017974593,0.00047381298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000100729056,0.00041950768,0.83728707,0.00009843438,0.000044759203,0.0000022059833,0.0020674346,0.10212742,0.000049543996,0.013463896,0.0028830746,0.041455917],"study_design_scores_gemma":[0.0006671178,0.000029132469,0.0059588095,0.000009859925,0.000007954429,0.0000021825783,0.000080389764,0.98582983,0.00026090804,0.00025910093,0.0065359697,0.00035874418],"about_ca_topic_score_codex":0.0010205585,"about_ca_topic_score_gemma":0.0003258597,"teacher_disagreement_score":0.8837024,"about_ca_system_score_codex":0.00015738823,"about_ca_system_score_gemma":0.00002941221,"threshold_uncertainty_score":0.8781491},"labels":[],"label_agreement":null},{"id":"W1602759962","doi":"10.1108/14635781311305372","title":"Dynamic interactions among property types","year":2013,"lang":"en","type":"article","venue":"Journal of Property Investment and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cointegration; Diversification (marketing strategy); Economics; Endogeneity; Econometrics; Business","score_opus":0.022898494224646924,"score_gpt":0.2028532822285579,"score_spread":0.17995478800391096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1602759962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90855885,0.001398947,0.00024963994,0.0025087819,0.00075507973,0.00025919816,0.000005960696,0.000013477585,0.086250074],"genre_scores_gemma":[0.9744225,0.0031048679,0.002887235,0.0005798556,0.00009423075,0.000016738257,0.0000015227802,0.000021569398,0.018871477],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989463,0.000012463882,0.0006460308,0.00017181056,0.000027149243,0.00019623549],"domain_scores_gemma":[0.9991428,0.000017168206,0.0005594556,0.00014819062,0.00006524591,0.00006711342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003013931,0.00013297725,0.00034307392,0.00014762835,0.00010073411,0.00013456962,0.00015874158,0.000056147335,0.00020125246],"category_scores_gemma":[0.00006089551,0.00007988347,0.00008810519,0.00008838286,0.00010642833,0.00089957746,0.00004711776,0.00020619105,0.00021761189],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036156972,0.0019267256,0.43415868,0.00042781697,0.0009956344,0.00008932368,0.007305745,0.0015772145,0.0014114261,0.102633364,0.18590736,0.26320514],"study_design_scores_gemma":[0.0012400985,0.00048504726,0.081169695,0.0001948404,0.000027343202,0.00011533508,0.00017718368,0.05566735,0.00010552981,0.03964481,0.8205715,0.00060129754],"about_ca_topic_score_codex":0.00019591568,"about_ca_topic_score_gemma":0.00003565093,"teacher_disagreement_score":0.6346641,"about_ca_system_score_codex":0.00009741152,"about_ca_system_score_gemma":0.000027704504,"threshold_uncertainty_score":0.32575536},"labels":[],"label_agreement":null},{"id":"W1603356718","doi":"","title":"Uneven Renaissance: Urban Development in Saint John, 1955-1976","year":2010,"lang":"fr","type":"article","venue":"Journal of New Brunswick Studies / Revue d’études sur le Nouveau-Brunswick","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"The Renaissance; SAINT; Humanities; Urban planning; Political science; Economy; Economic history; History; Art; Art history; Economics; Engineering","score_opus":0.042421823244662,"score_gpt":0.24711591571062402,"score_spread":0.204694092465962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1603356718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8898661,0.060484063,0.00021984699,0.020483864,0.01611061,0.00068692636,0.00001391493,0.000055912733,0.012078733],"genre_scores_gemma":[0.9159806,0.043230217,0.016153716,0.0009939233,0.0058416766,0.000010541779,0.000015804459,0.00031542013,0.017458135],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9903561,0.00017442362,0.0059651486,0.0012795365,0.0002888065,0.0019359728],"domain_scores_gemma":[0.99196833,0.0007365355,0.004722379,0.0011214735,0.0006733152,0.0007779872],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0050986186,0.0011888752,0.0036875799,0.0014492219,0.0005892992,0.00036815292,0.0015888396,0.00095503835,0.0003141797],"category_scores_gemma":[0.0019814232,0.0014707532,0.0009635361,0.0011817502,0.0006004351,0.0014860234,0.00064949284,0.0030821837,0.0004275579],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085084804,0.003113296,0.6337888,0.0020428079,0.0034770386,0.0009775445,0.039622206,0.003147615,0.0001305894,0.13348883,0.128396,0.050964408],"study_design_scores_gemma":[0.0043844865,0.00043871586,0.11562006,0.0013968773,0.0001075618,0.00037639655,0.0018273342,0.00047450935,0.00014586674,0.0018806735,0.8718514,0.0014961266],"about_ca_topic_score_codex":0.015409257,"about_ca_topic_score_gemma":0.19234209,"teacher_disagreement_score":0.7434554,"about_ca_system_score_codex":0.0027839383,"about_ca_system_score_gemma":0.00910153,"threshold_uncertainty_score":0.99921775},"labels":[],"label_agreement":null},{"id":"W1603896524","doi":"","title":"HOUSING CONSTRUCTION CYCLES AND INTEREST RATES","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Interest rate; Economics; Investment (military); Sensitivity (control systems); Business cycle; Econometrics; Monetary economics; Macroeconomics; Engineering","score_opus":0.0627914717324563,"score_gpt":0.2965211466194666,"score_spread":0.2337296748870103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1603896524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8328618,0.00056505884,0.00003668146,0.0004600503,0.0011348882,0.0004927169,0.00012268462,0.00006586762,0.1642603],"genre_scores_gemma":[0.9692168,0.028040467,0.0018571537,0.00006778138,0.0003459519,0.00007691219,0.00006041416,0.00011736125,0.00021711776],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99622697,0.00010068625,0.0013238479,0.0014091659,0.000041344632,0.0008980012],"domain_scores_gemma":[0.998004,0.00031322864,0.0005485471,0.00085255434,0.00004970877,0.00023191709],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025186774,0.0004451231,0.0010285426,0.0011513535,0.00029929873,0.0005999807,0.00052805437,0.00069028937,0.00015059781],"category_scores_gemma":[0.00045437663,0.0006090232,0.00019180907,0.0001363052,0.00071339286,0.0002771071,0.0011502199,0.0019933952,0.000069402224],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029508257,0.00038965305,0.35344747,0.0010712196,0.0004150848,0.00007972657,0.0018736506,0.018058147,0.000040942556,0.096252516,0.00007537358,0.5280011],"study_design_scores_gemma":[0.004782584,0.00032199052,0.07524723,0.0017380916,0.00003367118,0.00013628349,0.003485502,0.05118276,0.0003677084,0.8079386,0.050560825,0.0042047864],"about_ca_topic_score_codex":0.00045279373,"about_ca_topic_score_gemma":0.0008915836,"teacher_disagreement_score":0.7116861,"about_ca_system_score_codex":0.001574984,"about_ca_system_score_gemma":0.0002805201,"threshold_uncertainty_score":0.9996361},"labels":[],"label_agreement":null},{"id":"W1604899850","doi":"","title":"Systemic Risk and Market Institutions","year":2009,"lang":"en","type":"article","venue":"Yale journal on regulation","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Systemic risk; Business; Asset (computer security); Incentive; Inflation (cosmology); Credit risk; Monetary economics; Capital asset pricing model; Financial system; Economics; Financial economics; Finance; Financial crisis; Microeconomics","score_opus":0.024279156683295864,"score_gpt":0.21568467819229456,"score_spread":0.1914055215089987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1604899850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81020826,0.0004107321,0.006487699,0.0005859015,0.0005147945,0.000085757805,0.00001392981,0.000026156367,0.18166676],"genre_scores_gemma":[0.9970793,0.0012193914,0.00048237937,0.00013452423,0.00023229393,8.843146e-7,0.0000027916985,0.0000070938836,0.00084132154],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992717,0.000020256153,0.00040222594,0.00014745588,0.000021746111,0.0001366394],"domain_scores_gemma":[0.9993696,0.000026448415,0.00037900184,0.00012740152,0.000017623259,0.00007991604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006677937,0.00008423845,0.00017939984,0.00021648922,0.00025939132,0.00013575843,0.000062166626,0.00007014759,0.0002165413],"category_scores_gemma":[0.00007624282,0.00009254602,0.000057617362,0.000084841755,0.000022269292,0.00026869742,0.000006795155,0.000158954,0.000114454735],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024396666,0.00020746887,0.21745543,0.000027399608,0.000081111124,0.000015146099,0.00055186206,0.011212399,0.00008415683,0.55436563,0.014500078,0.20125534],"study_design_scores_gemma":[0.0010573106,0.00021224614,0.75237936,0.00008885953,0.000015075929,0.00029433783,0.000038063416,0.026338076,0.000013977511,0.12153634,0.097703464,0.00032289408],"about_ca_topic_score_codex":0.0000064748765,"about_ca_topic_score_gemma":0.0000029090877,"teacher_disagreement_score":0.5349239,"about_ca_system_score_codex":0.00014253975,"about_ca_system_score_gemma":0.000015612552,"threshold_uncertainty_score":0.3773917},"labels":[],"label_agreement":null},{"id":"W1605552890","doi":"","title":"Housing Finance of Austrian Households","year":2009,"lang":"en","type":"article","venue":"Monetary Policy & the Economy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Debt; Residence; Household debt; Loan; Finance; Currency; Economics; Apartment; Value (mathematics); Quarter (Canadian coin); Investment (military); Labour economics; Business; Demographic economics; Monetary economics; Geography","score_opus":0.033778557224345925,"score_gpt":0.21739985461173522,"score_spread":0.1836212973873893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1605552890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6724858,0.00073635194,0.0004249708,0.007848869,0.00026633914,0.0002687561,0.00006865658,0.0000696553,0.3178306],"genre_scores_gemma":[0.9958036,0.000480714,0.0005038476,0.0018178247,0.0005677286,0.0000075334533,0.000010679025,0.000031975775,0.00077609235],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981874,0.000021644397,0.0008815581,0.00039912225,0.000019032708,0.00049124716],"domain_scores_gemma":[0.99853605,0.000053250737,0.000559024,0.0007598015,0.00001400683,0.00007785979],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005938132,0.00023984934,0.000575282,0.00023642107,0.00018102888,0.00008607522,0.000554889,0.00012468861,0.00012862822],"category_scores_gemma":[0.00004532974,0.0002472975,0.0002293025,0.00028921358,0.00013541395,0.00036933555,0.00006247597,0.00019855074,0.00034222275],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021903032,0.00051108445,0.0989884,0.00008229555,0.0003641874,0.000016923013,0.0028896153,0.02683987,0.000076007025,0.72298634,0.022484874,0.124541394],"study_design_scores_gemma":[0.0016842822,0.00029722688,0.0989292,0.00004143719,0.000032930293,0.000021412015,0.00009628861,0.0144210635,0.0005253512,0.34606564,0.53677946,0.0011057166],"about_ca_topic_score_codex":0.0011236097,"about_ca_topic_score_gemma":0.000042740747,"teacher_disagreement_score":0.51429456,"about_ca_system_score_codex":0.00014073857,"about_ca_system_score_gemma":0.00005824945,"threshold_uncertainty_score":0.9999979},"labels":[],"label_agreement":null},{"id":"W1614548842","doi":"","title":"Factors that influence listing prices and selling prices of owner-occupied residential properties in Germany","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Listing (finance); Database transaction; Business; Value (mathematics); Work (physics); Transaction data; Economics; Finance; Database; Mathematics; Statistics","score_opus":0.10790035344985245,"score_gpt":0.28261294508787704,"score_spread":0.1747125916380246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1614548842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93926036,0.0007397108,0.000005561097,0.000051197756,0.00038594284,0.00067722594,0.000062314626,0.000035467012,0.058782227],"genre_scores_gemma":[0.980165,0.018698856,0.000515761,0.000016719778,0.00008610767,0.00008572159,0.000017561752,0.000092405586,0.00032183444],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99552673,0.00009770475,0.0018910991,0.0013972877,0.000094013434,0.0009931371],"domain_scores_gemma":[0.9971683,0.0004098286,0.0012645765,0.0008975433,0.00007730229,0.00018241844],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003360302,0.0005124109,0.0014066275,0.0016043446,0.00017597432,0.00033947726,0.0009718781,0.00065532577,0.00007534211],"category_scores_gemma":[0.0006733834,0.0005165983,0.00019129556,0.00020680804,0.00063600676,0.0005864514,0.0013614795,0.0015011765,0.000010529734],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020015032,0.00023432233,0.9661802,0.0014525887,0.00015729641,0.000016089567,0.0082343025,0.0065821004,0.000106301144,0.0026045893,0.0000045283405,0.014227542],"study_design_scores_gemma":[0.001517812,0.00018178755,0.9312193,0.0016710344,0.000023895984,0.000007021553,0.0032173393,0.026724264,0.0013844301,0.028078536,0.0037846526,0.0021899345],"about_ca_topic_score_codex":0.003413028,"about_ca_topic_score_gemma":0.0022561986,"teacher_disagreement_score":0.058460396,"about_ca_system_score_codex":0.0006315395,"about_ca_system_score_gemma":0.00026093694,"threshold_uncertainty_score":0.99972856},"labels":[],"label_agreement":null},{"id":"W1621076046","doi":"10.1111/0033-0124.5503003","title":"Business Geography and New Real Estate Market Analysis","year":2003,"lang":"en","type":"article","venue":"The Professional Geographer","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Real estate; Economic geography; Geography; Business; Regional science; Finance","score_opus":0.020011270656865303,"score_gpt":0.22260657597555714,"score_spread":0.20259530531869183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1621076046","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6067799,0.0004684988,0.00048924645,0.0009191248,0.0006369235,0.0001864768,0.000034656437,0.000049354385,0.39043584],"genre_scores_gemma":[0.97971064,0.0074071893,0.0016341844,0.00042168473,0.00011569998,0.000028633107,0.000022374103,0.00004259725,0.010617002],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99866295,0.00006479549,0.00044699444,0.00040663086,0.00004494271,0.0003737058],"domain_scores_gemma":[0.9990594,0.00011805973,0.0002491613,0.00039308937,0.000035269768,0.00014501782],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010868919,0.00019714101,0.000389487,0.0004225022,0.0003133385,0.000097366974,0.00021688658,0.00010626087,0.002427432],"category_scores_gemma":[0.00005378633,0.00016024982,0.00021818535,0.001301497,0.00015296294,0.00017178492,0.00007615353,0.0001736768,0.00007978612],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004796557,0.000059715163,0.96921074,0.000012733522,0.0004668195,0.0000017615022,0.0002924891,0.00006155668,0.0000020015787,0.020593062,0.003365915,0.0058852173],"study_design_scores_gemma":[0.000457114,0.000012329474,0.8697671,0.000008702417,0.000111811656,0.0000032895234,0.00015234447,0.00053108437,0.0000026147766,0.0449476,0.08369616,0.0003097894],"about_ca_topic_score_codex":0.0013576767,"about_ca_topic_score_gemma":0.00021903965,"teacher_disagreement_score":0.37981886,"about_ca_system_score_codex":0.000013903107,"about_ca_system_score_gemma":0.00003631467,"threshold_uncertainty_score":0.9984845},"labels":[],"label_agreement":null},{"id":"W1621619261","doi":"10.1111/cjag.12045","title":"The Effect of Ontario's Greenbelt on the Price of Vacant Farmland","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Zoning; Endogeneity; Legislation; Hedonic regression; Land Values; Property value; Residential property; Agricultural economics; Economics; Regression analysis; Geography; Econometrics; Land use; Economic geography; Statistics; Mathematics; Civil engineering; Law; Engineering; Political science; Real estate","score_opus":0.014222351279663441,"score_gpt":0.14223038318858258,"score_spread":0.12800803190891913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1621619261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96135235,0.00024470614,0.000007461092,0.0031116363,0.0017435894,0.0003062227,0.0001187324,0.0000037155885,0.033111576],"genre_scores_gemma":[0.9981232,0.00011668961,0.000036260706,0.00018742219,0.0004091454,0.000010236948,0.000009322349,0.000030642383,0.0010770439],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969265,0.0000796728,0.0018596438,0.00035158783,0.000012170002,0.0007704246],"domain_scores_gemma":[0.9952692,0.0009242539,0.0024381564,0.0005517917,0.00011442338,0.0007022155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025529608,0.00036428627,0.0011187611,0.00029099855,0.00037384522,0.00014856811,0.0011269691,0.0001719353,0.000374975],"category_scores_gemma":[0.00042994518,0.00023829173,0.0005261884,0.00014179098,0.00028109679,0.00028388712,0.000038139846,0.00046354867,0.00006213549],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071613793,0.00005751029,0.42623183,0.0002299174,0.0017193493,0.000019663123,0.007280265,0.01590197,0.000042505282,0.51852655,0.0167107,0.012563574],"study_design_scores_gemma":[0.002998317,0.0039533763,0.45494133,0.0002434351,0.00014614478,0.0003065242,0.0008475772,0.00084512663,0.00078990293,0.021049356,0.5126238,0.0012551117],"about_ca_topic_score_codex":0.17177036,"about_ca_topic_score_gemma":0.91771144,"teacher_disagreement_score":0.74594104,"about_ca_system_score_codex":0.0022256596,"about_ca_system_score_gemma":0.0005737421,"threshold_uncertainty_score":0.97172546},"labels":[],"label_agreement":null},{"id":"W1636702949","doi":"10.1016/j.jeca.2008.02.006","title":"Asymmetric Behaviour of Spanish Regional House Prices: A Multivariate Approach","year":2008,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cointegration; Univariate; Economics; Multivariate statistics; House price; Real estate; Econometrics; Multivariate analysis; Estate; Mathematics; Finance; Statistics","score_opus":0.05686850286937907,"score_gpt":0.2279529338952867,"score_spread":0.17108443102590765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1636702949","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9158086,0.0038370166,0.008651043,0.00051608874,0.0011602041,0.00030021375,0.00007915176,0.000042987675,0.069604665],"genre_scores_gemma":[0.9901889,0.0041016666,0.0048182867,0.00011715538,0.00041779285,0.0000030419353,0.000003187763,0.000069455295,0.00028049047],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972475,0.00007222306,0.0019609882,0.00025888422,0.00007145024,0.00038894312],"domain_scores_gemma":[0.99573195,0.0004879559,0.0030534274,0.00048768334,0.000094718154,0.0001442877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030894103,0.00027184968,0.0010322896,0.0009991325,0.00023289821,0.00005185937,0.00088183826,0.00016010166,0.00007901956],"category_scores_gemma":[0.0002674994,0.00024122535,0.00040702254,0.00046008112,0.00037634707,0.00063008576,0.00012671237,0.0003869198,0.00014161182],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023507732,0.0026285273,0.64627284,0.0003087343,0.0031407282,0.00006348888,0.0164589,0.017183848,0.00010278082,0.23289043,0.06562539,0.012973536],"study_design_scores_gemma":[0.01730141,0.0027030269,0.7241534,0.00022600216,0.0007025847,0.004641978,0.0062437328,0.015610163,0.002881115,0.087891325,0.1336717,0.0039735567],"about_ca_topic_score_codex":0.0005636293,"about_ca_topic_score_gemma":0.000017251632,"teacher_disagreement_score":0.1449991,"about_ca_system_score_codex":0.0002918649,"about_ca_system_score_gemma":0.0001778149,"threshold_uncertainty_score":0.9836885},"labels":[],"label_agreement":null},{"id":"W1637739258","doi":"10.1111/j.0008-3658.2005.00097.x","title":"Property developers and the robust downtown:  the case of four major Canadian downtowns","year":2005,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Downtown; Business; Metropolitan area; Politics; Property (philosophy); Geography; Political science","score_opus":0.01602916707429469,"score_gpt":0.16462791205251032,"score_spread":0.14859874497821562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1637739258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7963597,0.006371316,0.000007860442,0.032838088,0.0008221464,0.0010901382,0.000812999,0.000052121995,0.1616456],"genre_scores_gemma":[0.9933231,0.0033385765,0.00029835931,0.0018835509,0.00018599034,0.00010234379,0.000021695245,0.000058522157,0.0007878696],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99709845,0.000066979745,0.00085444277,0.00061015424,0.000042022275,0.0013279736],"domain_scores_gemma":[0.99745196,0.00018999331,0.00031249865,0.0008056228,0.00012005281,0.0011198764],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0013452852,0.0004278601,0.0006687323,0.002646973,0.0015339312,0.00029263186,0.0007251466,0.00021864136,0.00040991223],"category_scores_gemma":[0.0002228294,0.0002845767,0.0003121292,0.0022775948,0.0028506883,0.0003438277,0.000067735724,0.0003453874,0.000030717147],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015193268,0.000038019603,0.27726826,0.00016862262,0.001375595,0.00077783514,0.014394975,0.0006600382,0.0000012566,0.5496694,0.042081587,0.113412485],"study_design_scores_gemma":[0.0022372743,0.000083984654,0.05308724,0.000054012333,0.00013590224,0.0019388264,0.011775306,0.0018844291,0.000004236638,0.00874175,0.9186649,0.0013921491],"about_ca_topic_score_codex":0.9934344,"about_ca_topic_score_gemma":0.9999179,"teacher_disagreement_score":0.8765833,"about_ca_system_score_codex":0.00024873577,"about_ca_system_score_gemma":0.000389605,"threshold_uncertainty_score":0.99996066},"labels":[],"label_agreement":null},{"id":"W1647381466","doi":"10.19030/iber.v1i12.4007","title":"Evidence Of Method Effects In Budget-Related Behavior Research","year":2011,"lang":"en","type":"article","venue":"International Business & Economics Research Journal (IBER)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Context (archaeology); Econometrics; Structural equation modeling; Psychology; Response bias; Test (biology); Survey research; Applied psychology; Computer science; Social psychology; Economics; Machine learning; Geography","score_opus":0.25058641516831504,"score_gpt":0.40373472870435406,"score_spread":0.15314831353603903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1647381466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89914626,0.0015826244,0.001022545,0.0013288269,0.0023265155,0.0005422769,0.000031956275,0.00001918665,0.09399983],"genre_scores_gemma":[0.98381954,0.009086679,0.0057531903,0.000040400526,0.00030617774,0.0000861324,0.000008246817,0.00007357333,0.0008260367],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957599,0.00039406118,0.001960737,0.00070409826,0.00022270191,0.0009584897],"domain_scores_gemma":[0.9958263,0.0014782373,0.0006937656,0.00054497406,0.0011877518,0.0002689433],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.015961718,0.00025211187,0.0007220675,0.003432305,0.00025448634,0.00033810394,0.0017563708,0.00029323105,0.0017431583],"category_scores_gemma":[0.0028606365,0.00030048098,0.00021189202,0.0010679187,0.00040897622,0.0015142987,0.00054602546,0.0016120315,0.00076537667],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014495077,0.0018425089,0.5984085,0.00028506757,0.00050042657,0.00046116687,0.004922711,0.001776036,0.0008076614,0.31203294,0.0017582763,0.07575515],"study_design_scores_gemma":[0.0029037758,0.00036861576,0.57780033,0.0009955907,0.000016345897,0.00039381636,0.00051798625,0.009277868,0.0013080172,0.39392397,0.011641869,0.0008518445],"about_ca_topic_score_codex":0.0017047641,"about_ca_topic_score_gemma":0.000271245,"teacher_disagreement_score":0.0931738,"about_ca_system_score_codex":0.0012574747,"about_ca_system_score_gemma":0.0003709574,"threshold_uncertainty_score":0.99994475},"labels":[],"label_agreement":null},{"id":"W1655966","doi":"","title":"Discussant remarks on Filipa Sá, Pascal Towbin and Tomasz Wieladek’s paper \"Capital inflows,financial innovation and housing booms\"","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Boom; Fell; Economics; Financial crisis; Asset (computer security); Finance; Keynesian economics; Geography","score_opus":0.03138941132989161,"score_gpt":0.2672488335776606,"score_spread":0.23585942224776899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1655966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8861529,0.0005514185,0.000018123761,0.0009196701,0.0012397121,0.00081150886,0.0002243023,0.00005751812,0.11002485],"genre_scores_gemma":[0.984929,0.01180393,0.00075280917,0.00034652126,0.0009990189,0.00016895757,0.0001538243,0.00015424532,0.0006916825],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99480945,0.00014323201,0.0018597352,0.0017024603,0.00011374552,0.0013713908],"domain_scores_gemma":[0.9974369,0.00042644993,0.0006695324,0.0010785693,0.00007364343,0.000314952],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0039842143,0.00067207904,0.0013022624,0.001423793,0.000377841,0.0005740031,0.00049582456,0.001116468,0.0002466146],"category_scores_gemma":[0.0011014332,0.0007978391,0.00017742383,0.0002937385,0.00054326403,0.00064135704,0.0014427757,0.0023918513,0.000048303733],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009757016,0.0008158926,0.24715465,0.0010021082,0.00032739536,0.000055444583,0.005303196,0.001959765,0.00014708012,0.15103446,0.0007880746,0.5904362],"study_design_scores_gemma":[0.0073908046,0.0009372518,0.5144909,0.0016666589,0.00007673322,0.00007837466,0.0027600417,0.030617917,0.000218062,0.21728472,0.21750848,0.0069700535],"about_ca_topic_score_codex":0.00023251318,"about_ca_topic_score_gemma":0.00062633114,"teacher_disagreement_score":0.5834662,"about_ca_system_score_codex":0.0011362637,"about_ca_system_score_gemma":0.00023461855,"threshold_uncertainty_score":0.9999097},"labels":[],"label_agreement":null},{"id":"W1686069590","doi":"10.1111/j.1540-6229.2010.00273.x","title":"Testing for Cointegration between House Prices and Economic Fundamentals","year":2010,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Cointegration; Economics; Econometrics; Nonlinear system; Empirical evidence; Macroeconomics; Physics","score_opus":0.041665836687039215,"score_gpt":0.2420315158362884,"score_spread":0.2003656791492492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1686069590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93336624,0.000012180965,0.0003771855,0.00022099585,0.0007849497,0.0004148378,0.0004555912,0.00013350972,0.064234525],"genre_scores_gemma":[0.9845049,0.0014061973,0.013054654,0.0000634836,0.0005975828,0.00005493828,0.0000774072,0.0001179351,0.00012295229],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980225,0.000006525621,0.0008960439,0.0006223357,0.000008913882,0.0004436823],"domain_scores_gemma":[0.99843496,0.00039919032,0.0006219545,0.00033345347,0.00002007466,0.00019039368],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008717829,0.00026630715,0.0005757287,0.00020513064,0.00023527854,0.00035389725,0.00021858755,0.00018397428,0.00006193669],"category_scores_gemma":[0.00010422117,0.0003456627,0.000108077824,0.000045755507,0.00012608142,0.000614512,0.00007615681,0.00020511905,0.00026553834],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007219084,0.000060621456,0.7116567,0.000104180755,0.00014377362,0.0000011584697,0.0008678254,0.00040606744,0.0002824092,0.105697535,0.00043276267,0.18027478],"study_design_scores_gemma":[0.0053302213,0.0008595679,0.3857341,0.00004164751,0.00010628898,0.00005613473,0.0007089638,0.11638332,0.001125576,0.16496241,0.32147253,0.0032192322],"about_ca_topic_score_codex":0.0015119413,"about_ca_topic_score_gemma":0.001612768,"teacher_disagreement_score":0.32592258,"about_ca_system_score_codex":0.00020759711,"about_ca_system_score_gemma":0.000070259564,"threshold_uncertainty_score":0.99989957},"labels":[],"label_agreement":null},{"id":"W169430430","doi":"10.2139/ssrn.276292","title":"Are Fund Managers Better in Financial Centers?","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Business; Finance; Financial system","score_opus":0.020010069815480553,"score_gpt":0.2055104213470285,"score_spread":0.18550035153154792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W169430430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9462239,0.0012034245,0.0021984505,0.0019090502,0.00059446495,0.00008000889,0.000004999208,0.000018833462,0.047766868],"genre_scores_gemma":[0.9901009,0.0071667773,0.000050910337,0.0007081655,0.00039692514,0.000003440254,0.0000024183212,0.00002936865,0.0015410571],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997253,0.000017264865,0.000531208,0.00027107852,0.000027084483,0.0019003692],"domain_scores_gemma":[0.99930936,0.000016721806,0.00042000724,0.00017133322,0.0000109807725,0.00007161619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013884804,0.00015354478,0.00031964167,0.00035338855,0.00012115444,0.000100127814,0.00026844756,0.00010584607,0.00022215955],"category_scores_gemma":[0.00004604556,0.00018812326,0.00013904972,0.00020626187,0.00003096483,0.00031539984,0.000035851182,0.0011047384,0.00041618987],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000100440106,0.00010062161,0.85260725,0.0000069133575,0.000054586766,0.00005701443,0.00012888946,0.00012776733,0.0000021887047,0.12116614,0.0008054306,0.024842743],"study_design_scores_gemma":[0.0019147316,0.00010477095,0.1534746,0.000029982299,0.0000075362163,0.00026788565,0.00055542245,0.00064871804,0.0000024111462,0.7181616,0.12430722,0.00052516203],"about_ca_topic_score_codex":0.00012595975,"about_ca_topic_score_gemma":0.0030062816,"teacher_disagreement_score":0.6991327,"about_ca_system_score_codex":0.001197107,"about_ca_system_score_gemma":0.00013421262,"threshold_uncertainty_score":0.7671444},"labels":[],"label_agreement":null},{"id":"W170754804","doi":"10.1007/978-1-4615-1047-5_3","title":"Turnpikes in Multi-Discount Rate Environments and Gcc Policy Evaluation","year":2002,"lang":"en","type":"book-chapter","venue":"Advances in computational management science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Economics; Business; Computer science","score_opus":0.04255061984139426,"score_gpt":0.27569016292730864,"score_spread":0.2331395430859144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W170754804","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026671959,0.0031461155,0.0075768973,0.00041891827,0.0005064855,0.00078542856,0.000039626357,0.000015164724,0.98484415],"genre_scores_gemma":[0.91635627,0.026815306,0.012944462,0.00053425407,0.00011602175,0.00008345408,0.00007012151,0.00005806122,0.04302204],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99821466,0.000009699945,0.0006111446,0.00075500447,0.0001333232,0.00027617178],"domain_scores_gemma":[0.9993061,0.00006358559,0.00037012453,0.00019694453,0.000011989224,0.0000512483],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014723833,0.00021274839,0.000294631,0.0011962809,0.00010522798,0.000113532325,0.00030335796,0.00006186956,0.0001785431],"category_scores_gemma":[0.000044379143,0.00027357996,0.00003354568,0.00017480693,0.00035386236,0.00089245616,0.00018870202,0.00013956949,0.00023442227],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000065790323,0.000043626736,0.00418621,0.000044238524,0.0000085212905,0.0000063034613,0.0001230221,0.19249381,1.9546799e-7,0.7657014,0.000011914317,0.037374157],"study_design_scores_gemma":[0.00077748497,0.000018513558,0.0300944,0.000096655254,0.0000048582015,0.0000012134971,0.000016486236,0.3222031,2.6161243e-7,0.6022483,0.044174213,0.0003644725],"about_ca_topic_score_codex":0.000017088938,"about_ca_topic_score_gemma":0.000039294864,"teacher_disagreement_score":0.9418221,"about_ca_system_score_codex":0.00076137745,"about_ca_system_score_gemma":0.000024748853,"threshold_uncertainty_score":0.9999716},"labels":[],"label_agreement":null},{"id":"W1730852394","doi":"10.2139/ssrn.2405392","title":"Positional Portfolio Management","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; University of Toronto","funders":"","keywords":"Business; Project portfolio management; Economics; Management; Project management","score_opus":0.007498404973287876,"score_gpt":0.18384538076105367,"score_spread":0.1763469757877658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1730852394","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17292407,0.00064862147,0.059522234,0.0010078977,0.0007283953,0.00008976195,0.000005493098,0.000044770662,0.7650288],"genre_scores_gemma":[0.9901236,0.0038387969,0.00046145037,0.00028182226,0.0004334755,0.0000037383159,0.0000072913276,0.000025771458,0.004824022],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979901,0.000013265292,0.00041477065,0.00021335807,0.00003078777,0.0013377386],"domain_scores_gemma":[0.9995015,0.000014487033,0.0002304936,0.00016449904,0.0000140780185,0.00007490751],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002050384,0.000115961084,0.00020447116,0.00020567642,0.00017945841,0.000086805856,0.00022768466,0.000055785862,0.0003645406],"category_scores_gemma":[0.000015876167,0.00013729044,0.00012773233,0.00009257983,0.000024070683,0.00018631907,0.000035552377,0.0005663809,0.0009057427],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013353876,0.000033156703,0.008352158,0.0000033300055,0.00009089285,0.0000012988835,0.000015076939,0.00005718136,0.000001048646,0.97688746,0.000491163,0.014053878],"study_design_scores_gemma":[0.0005037818,0.00008129544,0.008479913,0.000005109987,0.000007684064,0.00014431351,0.000073881,0.0006307138,0.0000016388544,0.9143114,0.07557115,0.00018913789],"about_ca_topic_score_codex":0.00002061503,"about_ca_topic_score_gemma":0.000039094535,"teacher_disagreement_score":0.8171996,"about_ca_system_score_codex":0.00060748775,"about_ca_system_score_gemma":0.000081706305,"threshold_uncertainty_score":0.99987215},"labels":[],"label_agreement":null},{"id":"W1731988853","doi":"10.1111/1540-6229.12073","title":"Dual Agent Distortions in Real Estate Transactions","year":2015,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Dual (grammatical number); Real estate; Price on application; Economics; Monetary economics; Government (linguistics); Microeconomics; Financial economics; Finance; Cost approach; Real estate investment trust","score_opus":0.059939847749599914,"score_gpt":0.23743551055386214,"score_spread":0.1774956628042622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1731988853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.615849,0.000009595141,0.0006480137,0.00027204026,0.0009279822,0.0001718202,0.000237442,0.00007483986,0.38180923],"genre_scores_gemma":[0.943136,0.053741623,0.0012303508,0.00006172473,0.00019950057,0.000061333194,0.00013692596,0.00009846875,0.0013341081],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975336,0.000027901939,0.0011858904,0.00061912386,0.000023018612,0.00061041786],"domain_scores_gemma":[0.99866605,0.00006457051,0.0003857122,0.00047546794,0.000026527807,0.00038166431],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000854616,0.0002855177,0.0006049344,0.0003934733,0.00012190473,0.000144164,0.00022693754,0.00016774503,0.0001730253],"category_scores_gemma":[0.000031809428,0.00039581605,0.00017615138,0.00019304185,0.000111966845,0.00060995255,0.000037986247,0.0002661634,0.0010543959],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006448796,0.0015309739,0.15653913,0.0001301372,0.00037454106,0.00018016505,0.026747752,0.20899318,0.000012878756,0.059327893,0.003310888,0.5422076],"study_design_scores_gemma":[0.007060381,0.0004921668,0.06423479,0.0000392209,0.00006216529,0.000098521414,0.004015386,0.18956785,0.000056750156,0.03795849,0.6933385,0.0030757445],"about_ca_topic_score_codex":0.011936676,"about_ca_topic_score_gemma":0.013089798,"teacher_disagreement_score":0.69002765,"about_ca_system_score_codex":0.0012558395,"about_ca_system_score_gemma":0.00017617785,"threshold_uncertainty_score":0.9998494},"labels":[],"label_agreement":null},{"id":"W1756187322","doi":"10.1111/grow.12013","title":"Effects of the Housing Boom and Bust on <scp>U</scp>.<scp>S</scp>. Metro Employment","year":2013,"lang":"en","type":"article","venue":"Growth and Change","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Boom; Metropolitan area; Bust; Unemployment; Recession; Hospitality; Great recession; Labour economics; Economics; Demographic economics; Tourism; Economic growth; Geography; Engineering; Keynesian economics","score_opus":0.024394181640274636,"score_gpt":0.18797499583969104,"score_spread":0.16358081419941642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1756187322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97730225,0.0026250014,0.00004165208,0.00023245312,0.00051370513,0.00050252845,0.000039134004,0.000030104247,0.018713169],"genre_scores_gemma":[0.9965503,0.0017217988,0.00008734745,0.0007638702,0.0002609421,0.000072472656,0.000004686729,0.00004184265,0.0004966998],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987127,0.000026044861,0.0003734585,0.00040472168,0.000045118486,0.00043793969],"domain_scores_gemma":[0.9987844,0.0004744139,0.00030200783,0.00026610203,0.00002069709,0.00015235435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002640624,0.00023770944,0.00045129738,0.00019997213,0.0001911606,0.00014161886,0.00018619011,0.0001456919,0.000012683818],"category_scores_gemma":[0.00034007392,0.00021484858,0.00010074271,0.0001735289,0.00010570315,0.0002529588,0.00015501613,0.00016278445,0.000074815645],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001603814,0.0004919344,0.921906,0.0014172434,0.00038399146,0.000011649862,0.012196261,0.0000067903447,0.0005960297,0.02359482,0.02014028,0.019238979],"study_design_scores_gemma":[0.0026943104,0.000613439,0.92777646,0.00024128954,0.00009918596,0.000008982813,0.0012277617,0.0013381959,0.007991323,0.017637651,0.04004525,0.00032616188],"about_ca_topic_score_codex":0.00074783363,"about_ca_topic_score_gemma":0.000064808664,"teacher_disagreement_score":0.019904971,"about_ca_system_score_codex":0.00004798926,"about_ca_system_score_gemma":0.000008793621,"threshold_uncertainty_score":0.8761271},"labels":[],"label_agreement":null},{"id":"W1759954944","doi":"10.2139/ssrn.2156045","title":"Get in Line: Chapter 11 Restructuring in Crowded Bankruptcy Courts","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Dartmouth College; Harvard Business School; Harvard University; Northwestern University; University of Southern California; Ohio State University; York University; Brigham Young University; Yale University","keywords":"Bankruptcy; Restructuring; Line (geometry); Business; Law and economics; Economics; Finance; Mathematics; Geometry","score_opus":0.017198509954665056,"score_gpt":0.21417925359422657,"score_spread":0.19698074363956153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1759954944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9814222,0.002621025,0.00038577698,0.00043313613,0.0005716791,0.00008388274,0.0000029146574,0.000011584965,0.0144677935],"genre_scores_gemma":[0.99417585,0.0048266132,0.00010670152,0.0000875206,0.000448452,0.0000035558264,0.00000215783,0.000036143414,0.00031303326],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99678427,0.000019299234,0.0007028981,0.00021761199,0.000029750201,0.0022461836],"domain_scores_gemma":[0.9994079,0.000028850694,0.00027208257,0.00018161883,0.000009905519,0.00009964291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028830108,0.00016552073,0.00034665997,0.0004833107,0.00007676802,0.00006514239,0.00022665254,0.00012505159,0.00017947405],"category_scores_gemma":[0.000071593066,0.0001974398,0.00009075469,0.0001226497,0.00002764551,0.00054073666,0.000044711873,0.001180802,0.00014170795],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035620105,0.000059139966,0.5739297,0.000006047003,0.000020964211,0.0000044369363,0.0004434588,0.00026273643,0.000015594205,0.4191703,0.000012036479,0.0060399706],"study_design_scores_gemma":[0.0023854764,0.0001106258,0.19533077,0.000043674223,0.0000064456776,0.00030668202,0.0004833623,0.0017187934,0.0000883483,0.7826894,0.016134588,0.000701843],"about_ca_topic_score_codex":0.00033851757,"about_ca_topic_score_gemma":0.0029647446,"teacher_disagreement_score":0.37859893,"about_ca_system_score_codex":0.0011419522,"about_ca_system_score_gemma":0.00014590971,"threshold_uncertainty_score":0.80513614},"labels":[],"label_agreement":null},{"id":"W176812832","doi":"10.7202/803043ar","title":"L’économique de l’habitation : une revue de lalittérature","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Cegep de Trois-Rivieres; Université de Sherbrooke","funders":"","keywords":"Principal (computer security); Economics; Section (typography); Subject (documents); Positive economics; Nothing; Interpretation (philosophy); Econometric model; Subject matter; Field (mathematics); Economic Thought; Epistemology; Econometrics; Welfare economics; Philosophy; Computer science; Mathematics","score_opus":0.03408963067525988,"score_gpt":0.217624215468295,"score_spread":0.1835345847930351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W176812832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7948056,0.00017940781,0.004645654,0.010825133,0.0003176008,0.00028263987,0.000069711845,0.00019086085,0.1886834],"genre_scores_gemma":[0.98455644,0.00044036243,0.0059901606,0.0058038034,0.0007131034,0.000039648006,0.000055967368,0.000057163033,0.0023433673],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976885,0.00005620921,0.0009076594,0.00063311413,0.000008170307,0.0007063592],"domain_scores_gemma":[0.99847835,0.00016369221,0.00047514934,0.00058866624,0.00003056498,0.00026356638],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013023425,0.00032205545,0.0006317699,0.00024477573,0.00015425861,0.00023981612,0.0004094773,0.00044490967,0.0002750213],"category_scores_gemma":[0.00028213588,0.00043454222,0.00024386242,0.0002201156,0.00006299108,0.0005438155,0.000039105107,0.00038145282,0.00046993926],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007487746,0.0001138584,0.019347917,0.00004166791,0.000045973142,0.000011215692,0.0016278309,0.00088174816,0.00028408674,0.9671472,0.0019323877,0.008491286],"study_design_scores_gemma":[0.00085420924,0.00015287747,0.049225755,0.000046697653,0.000012390466,0.00005077817,0.00013010802,0.0063499575,0.00082131935,0.8080632,0.13350914,0.0007835295],"about_ca_topic_score_codex":0.00053427933,"about_ca_topic_score_gemma":0.0003229824,"teacher_disagreement_score":0.18975084,"about_ca_system_score_codex":0.0007285781,"about_ca_system_score_gemma":0.00011642688,"threshold_uncertainty_score":0.99981064},"labels":[],"label_agreement":null},{"id":"W1786454470","doi":"","title":"Home equity, fiscal policy and the demand for housing","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Equity (law); Economics; Demographic economics; Business; Advertising; Geography; Political science","score_opus":0.058169427100175454,"score_gpt":0.32520114711251735,"score_spread":0.2670317200123419,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1786454470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6390883,0.0007000386,0.00016026538,0.0047899378,0.0016221579,0.002139123,0.0004379803,0.00006405338,0.35099816],"genre_scores_gemma":[0.9740946,0.020990092,0.0012272956,0.000314121,0.0014877758,0.00044428094,0.000060154194,0.00015565149,0.0012260028],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99584466,0.00011514684,0.001365536,0.0013301709,0.00006542243,0.0012790544],"domain_scores_gemma":[0.9962746,0.001561974,0.0005807704,0.0012766226,0.000052411266,0.00025360542],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00858301,0.000455492,0.0013082938,0.0009773367,0.0004992515,0.0008917059,0.0011511004,0.0009175066,0.000063361214],"category_scores_gemma":[0.0016937926,0.0004697169,0.00037894226,0.0001487227,0.0011641555,0.00018832168,0.003127829,0.002228501,0.000025304655],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013237095,0.00028905057,0.038567163,0.0010042681,0.00045022054,0.000013371024,0.0021502667,0.0054350076,0.000014669369,0.4331513,0.0003961488,0.5172048],"study_design_scores_gemma":[0.005554376,0.000101984646,0.0095063895,0.00015042385,0.000020656656,0.000020048734,0.00024940437,0.10687234,0.00001981544,0.7654037,0.110817686,0.0012831892],"about_ca_topic_score_codex":0.000552723,"about_ca_topic_score_gemma":0.0012513046,"teacher_disagreement_score":0.51592165,"about_ca_system_score_codex":0.00087703567,"about_ca_system_score_gemma":0.00034293783,"threshold_uncertainty_score":0.99977547},"labels":[],"label_agreement":null},{"id":"W1825935329","doi":"10.3368/le.87.1.126","title":"Are Housing Bubbles Contagious? A Case Study of Las Vegas and Los Angeles Home Prices","year":2010,"lang":"en","type":"article","venue":"Land Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Vedecká Grantová Agentúra MŠVVaŠ SR a SAV","keywords":"Las vegas; Quarter (Canadian coin); Disequilibrium; Economics; House price; Econometrics; Geography; Metropolitan area","score_opus":0.025890943891484337,"score_gpt":0.2126325734169407,"score_spread":0.18674162952545637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1825935329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924606,0.00022820219,0.000018743609,0.000046425022,0.0006666288,0.00028815094,0.00022377867,0.000043112705,0.006024373],"genre_scores_gemma":[0.99892896,0.00026185965,0.0004032886,0.000075253505,0.00021367872,0.000014073412,0.00000622979,0.000049064478,0.000047606492],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99839866,0.000010912518,0.0007545026,0.0004952169,0.00001386525,0.000326866],"domain_scores_gemma":[0.99842995,0.00010832634,0.0008739302,0.00042803123,0.000024692616,0.00013508086],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005014188,0.0002372119,0.00072373805,0.0002480398,0.0001765635,0.00018712797,0.00018682396,0.00016250437,0.00009526094],"category_scores_gemma":[0.000043821274,0.00027512843,0.00007893565,0.0000707769,0.000102843376,0.00034640607,0.00012307777,0.0002294549,0.000026914962],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004141513,0.00023663443,0.9939587,0.00005965677,0.00009463585,0.00010293605,0.0009151303,0.00014685153,0.0000085426545,0.0027200296,0.00010788091,0.0016075529],"study_design_scores_gemma":[0.019423518,0.001476832,0.7806102,0.00013208542,0.00031054718,0.0033286472,0.028740302,0.036544114,0.00029948348,0.061651506,0.062331587,0.005151149],"about_ca_topic_score_codex":0.0019406533,"about_ca_topic_score_gemma":0.033410702,"teacher_disagreement_score":0.21334851,"about_ca_system_score_codex":0.000043662225,"about_ca_system_score_gemma":0.000018231574,"threshold_uncertainty_score":0.9999701},"labels":[],"label_agreement":null},{"id":"W1828803271","doi":"","title":"Rethinking Shelter-Cost-to-Income Ratios in Housing Allowances","year":2015,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Economics; Labour economics; Public economics","score_opus":0.041583742664417056,"score_gpt":0.21226460857751242,"score_spread":0.17068086591309536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1828803271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8817115,0.00007238765,0.0021322013,0.00048385773,0.000639238,0.00024363156,0.000027609816,0.000083526495,0.11460609],"genre_scores_gemma":[0.99698037,0.00008664771,0.0014401798,0.00029626992,0.0001028778,0.0000013565293,0.000013268848,0.000029650044,0.0010493704],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99864596,0.000033340908,0.00037191418,0.000492973,0.00004460027,0.00041123442],"domain_scores_gemma":[0.9991615,0.000049832266,0.00018110916,0.00033999083,0.000037014597,0.00023059164],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00063418504,0.000187804,0.0003915436,0.0008586502,0.000115609706,0.00011509161,0.00042940787,0.00014669802,0.000100366255],"category_scores_gemma":[0.00010342381,0.00026844288,0.000088727196,0.0007363506,0.00005001337,0.000692618,0.00015836318,0.00022514768,0.0005900296],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007726258,0.000039597933,0.9867296,0.0000118669905,0.00001724984,0.00006919611,0.00031113735,0.002223845,5.672124e-7,0.00758239,0.0015921573,0.0013450972],"study_design_scores_gemma":[0.003805381,0.00018214194,0.015935171,0.00014591194,0.000019805091,3.153557e-8,0.009298531,0.0072892983,0.00020564739,0.030681899,0.93099916,0.0014369952],"about_ca_topic_score_codex":0.00069989735,"about_ca_topic_score_gemma":0.053942695,"teacher_disagreement_score":0.97079444,"about_ca_system_score_codex":0.0005950396,"about_ca_system_score_gemma":0.000067305606,"threshold_uncertainty_score":0.99997675},"labels":[],"label_agreement":null},{"id":"W1841090190","doi":"","title":"First Quarter 2015: March Madness: Hotels Remain Hot","year":2015,"lang":"en","type":"article","venue":"Cornell Peter and Stephanie Nolan School of Hotel Administration (Cornell University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); History","score_opus":0.058179249302597075,"score_gpt":0.20525248139924238,"score_spread":0.1470732320966453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1841090190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9297302,0.00018112404,0.008317266,0.000016087664,0.00041311613,0.00025933285,0.000102573926,0.000056798097,0.060923498],"genre_scores_gemma":[0.9975151,0.00025590757,0.0004215969,0.00008729403,0.00013086546,0.0000014781555,0.000042780535,0.000030339868,0.0015146293],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99824154,0.000048163798,0.000621944,0.0006648495,0.000051894138,0.00037163423],"domain_scores_gemma":[0.9984062,0.00008203566,0.00044043717,0.0005039121,0.000109252964,0.00045816266],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005939726,0.0002829306,0.0005362927,0.0003715353,0.00008900303,0.00014665251,0.00035319367,0.00021552094,0.00040529584],"category_scores_gemma":[0.00009572304,0.00036010586,0.00014630758,0.0002834172,0.00014457069,0.00061976345,0.000098375975,0.00022563522,0.0004630122],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013833914,0.0003272218,0.98813826,0.00018348254,0.00013526027,0.00015494843,0.00066089333,0.00044895062,0.000051655326,0.0012084033,0.0072688786,0.00003863108],"study_design_scores_gemma":[0.0042338236,0.0012242793,0.95965284,0.000070837916,0.00007295697,0.000060897055,0.0012961519,0.0012728018,0.00026545202,0.02623859,0.0044798995,0.0011314767],"about_ca_topic_score_codex":0.00007213309,"about_ca_topic_score_gemma":0.0002734925,"teacher_disagreement_score":0.067784905,"about_ca_system_score_codex":0.00016231353,"about_ca_system_score_gemma":0.00012582932,"threshold_uncertainty_score":0.9998851},"labels":[],"label_agreement":null},{"id":"W1842329897","doi":"10.1111/jmcb.12193","title":"Building Stable Mortgage Markets: Lessons from Canada's Experience","year":2015,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Underwriting; Mortgage underwriting; Shared appreciation mortgage; Bust; Secondary mortgage market; Mortgage insurance; Collateralized mortgage obligation; Debt; Boom; Interest rate; Business; Financial system; Loan-to-value ratio; Finance; Monetary policy; Economics; Monetary economics; Insurance policy; Casualty insurance","score_opus":0.04512923131898879,"score_gpt":0.24051787470394836,"score_spread":0.19538864338495956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1842329897","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98379576,0.0020943393,0.0021308847,0.0007079465,0.0016357176,0.000034046745,0.00003875684,0.0000073646693,0.009555198],"genre_scores_gemma":[0.9946967,0.0004459099,0.003912853,0.00014272984,0.0007192584,0.0000010851504,0.000001895482,0.00001837745,0.000061222694],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99880177,0.000016068287,0.0006649321,0.00018819052,0.000071163005,0.00025785834],"domain_scores_gemma":[0.99885684,0.00009391196,0.00063614,0.00014537138,0.000055597004,0.0002121223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000896269,0.00012857514,0.00041417114,0.0001322985,0.00011057541,0.00015871723,0.00022102028,0.000066710105,0.00013268097],"category_scores_gemma":[0.00023527538,0.00013890342,0.000058869144,0.00008959701,0.000036574493,0.00046007422,0.00007360818,0.00021369418,0.0000030897893],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005387152,0.00018289767,0.85116893,0.00006308419,0.0004542646,0.00050655135,0.007385258,0.0014404577,0.0006266383,0.015771965,0.07194818,0.04991309],"study_design_scores_gemma":[0.004861753,0.00024494628,0.19797295,0.00040947372,0.00008836072,0.00024034936,0.0057768216,0.018667907,0.0013291248,0.14043051,0.628333,0.0016448189],"about_ca_topic_score_codex":0.07674008,"about_ca_topic_score_gemma":0.013321152,"teacher_disagreement_score":0.6531959,"about_ca_system_score_codex":0.00024562684,"about_ca_system_score_gemma":0.00018427234,"threshold_uncertainty_score":0.929408},"labels":[],"label_agreement":null},{"id":"W1845923519","doi":"10.1111/j.1744-7976.2012.01265.x","title":"Are Agricultural and Developable Land Prices Governed by the Same Spatial Rules? The Case of Belgium","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Urbanization; Agricultural land; Agriculture; Agricultural economics; Geography; Economic geography; Land Values; Population; Economics; Land use; Econometric model; Econometrics; Ecology; Economic growth; Demography","score_opus":0.022709607609738666,"score_gpt":0.16005103528310197,"score_spread":0.1373414276733633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1845923519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9849188,0.0028134354,0.000008521336,0.0051476383,0.0017855699,0.0002843898,0.00081759726,0.0000063171806,0.0042177825],"genre_scores_gemma":[0.9974934,0.00032306617,0.00011421975,0.0004654254,0.001009395,0.00001177536,0.000031197327,0.00003130728,0.0005202033],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99714106,0.000045087705,0.0014552453,0.00034614583,0.000009459139,0.0010030137],"domain_scores_gemma":[0.99551475,0.00025447085,0.002716819,0.000327946,0.00012143848,0.0010645826],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012076298,0.00039453662,0.0009056474,0.0001757853,0.00054581184,0.00030024958,0.0006665614,0.00019975392,0.00022206974],"category_scores_gemma":[0.00020810775,0.00026328786,0.00027764653,0.00014319111,0.00030325787,0.00097301614,0.00006689124,0.0004169679,0.00005584341],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010614688,0.00013636066,0.8671411,0.00026088912,0.0014946657,0.00014213833,0.0144022405,0.0018172872,0.000034696124,0.062236227,0.046333965,0.0058942665],"study_design_scores_gemma":[0.0010817541,0.00015226641,0.9168252,0.00005965745,0.00012764407,0.006350857,0.007946346,0.00015276406,0.0000744572,0.003113649,0.063257135,0.00085830066],"about_ca_topic_score_codex":0.10128139,"about_ca_topic_score_gemma":0.6967469,"teacher_disagreement_score":0.5954655,"about_ca_system_score_codex":0.0011379005,"about_ca_system_score_gemma":0.0001897432,"threshold_uncertainty_score":0.99998194},"labels":[],"label_agreement":null},{"id":"W1856653744","doi":"10.2139/ssrn.2159800","title":"Dynamically Consistent Noise Infusion and Partially Synthetic Data as Confidentiality Protection Measures for Related Time Series","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Alfred P. Sloan Foundation; National Science Foundation","keywords":"Confidentiality; Series (stratigraphy); Noise (video); Computer science; Computer security; Data mining; Internet privacy; Artificial intelligence; Biology","score_opus":0.02400224909800222,"score_gpt":0.22258197505280536,"score_spread":0.19857972595480314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1856653744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95795804,0.0038925342,0.02659405,0.0020488913,0.000995739,0.0008413159,0.00009023362,0.00007982062,0.0074994005],"genre_scores_gemma":[0.9953329,0.003415165,0.00018607586,0.000040313458,0.00017929569,0.000014742318,0.00003153285,0.000032388307,0.0007675898],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99772054,0.000053577874,0.0006568794,0.00031335416,0.00004338682,0.0012122695],"domain_scores_gemma":[0.998988,0.000044894372,0.00044359706,0.0003404627,0.000053943455,0.00012913167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050446875,0.00016216026,0.0003362953,0.00011875602,0.00032391123,0.00017700029,0.00024358011,0.00014367425,0.000108236454],"category_scores_gemma":[0.0004630245,0.00017711053,0.00008729881,0.0000699931,0.00008934403,0.00086493447,0.00010489002,0.00056221744,0.00014202819],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019039256,0.00067823794,0.021823302,0.00016207456,0.0015455426,0.0000027972283,0.0011985863,0.000121391095,0.0026545778,0.83875555,0.00045540478,0.13069859],"study_design_scores_gemma":[0.0026707146,0.0009170356,0.0056712804,0.000083160325,0.00021733914,0.0017376364,0.00064469024,0.026104566,0.0002232845,0.9146885,0.04592532,0.0011164552],"about_ca_topic_score_codex":0.00017295581,"about_ca_topic_score_gemma":0.00038995832,"teacher_disagreement_score":0.12958214,"about_ca_system_score_codex":0.00042808973,"about_ca_system_score_gemma":0.00029806606,"threshold_uncertainty_score":0.7222358},"labels":[],"label_agreement":null},{"id":"W1856934243","doi":"10.3968/j.sms.1923845220130701.606","title":"The Innovation and Martingale Pricing of Mortgage Insurance Under O-U Process","year":2013,"lang":"en","type":"article","venue":"Studies in mathematical sciences","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Martingale (probability theory); Martingale pricing; Real estate; Actuarial science; Business; Mortgage insurance; Financial economics; Local martingale; Econometrics; Economics; Insurance policy; Mathematics; Finance; General insurance; Applied mathematics","score_opus":0.09446824957281764,"score_gpt":0.3138131645697332,"score_spread":0.21934491499691555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1856934243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95520186,0.00041290672,0.00026340754,0.0006314731,0.00007543359,0.00013162942,0.0000012401946,0.0000058891346,0.04327613],"genre_scores_gemma":[0.9987796,0.00024353017,0.0008016159,0.000043702817,0.000012637873,0.000023646287,5.4462994e-8,0.0000030005692,0.00009222874],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99915725,0.000008253934,0.00049061095,0.00015026981,0.00003064889,0.00016295319],"domain_scores_gemma":[0.99933606,0.00032940359,0.0002127194,0.00007756846,0.000033276043,0.000010939735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015737735,0.000057937472,0.00019832504,0.00007612339,0.00020400649,0.000052453466,0.00013333475,0.000019655929,0.000019583656],"category_scores_gemma":[0.000816503,0.000040494906,0.00001196958,0.0004384504,0.00068974175,0.00020225577,0.00006481153,0.000052026127,0.000020418724],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017756004,0.0000314608,0.20446382,0.00016351728,0.000013934417,1.2604164e-7,0.0028213756,0.0001159774,0.0000149683265,0.7891565,0.00009208578,0.0031244354],"study_design_scores_gemma":[0.00007112062,0.000019878342,0.03779693,0.000044877102,6.238683e-7,7.148611e-7,0.0036137209,0.004689762,0.000035478624,0.9536194,0.000039904728,0.00006754768],"about_ca_topic_score_codex":0.000020567311,"about_ca_topic_score_gemma":0.00001815224,"teacher_disagreement_score":0.1666669,"about_ca_system_score_codex":0.000019900803,"about_ca_system_score_gemma":0.000007215455,"threshold_uncertainty_score":0.2541382},"labels":[],"label_agreement":null},{"id":"W1861659330","doi":"","title":"Testing the Temporal Stability of Accessibility Value in Residential Hedonic Prices","year":2006,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Centrality; Valuation (finance); Hedonic pricing; Business; Willingness to pay; Value (mathematics); Bridging (networking); Value of time; Neighbourhood (mathematics); Supply and demand; Distribution (mathematics); Marketing; Economics; Travel time; Transport engineering; Microeconomics; Econometrics; Computer science; Finance; Engineering","score_opus":0.0354140385122864,"score_gpt":0.2313587887516414,"score_spread":0.19594475023935498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1861659330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8971875,0.0007488768,0.00009211684,0.00021040681,0.0009739651,0.0003947754,0.000093041206,0.000059619913,0.10023973],"genre_scores_gemma":[0.9984291,0.000025876188,0.001073648,0.000049112074,0.00026970674,0.000022218406,0.000012545794,0.00003523632,0.00008256126],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99650955,0.00009938261,0.001955705,0.0007980283,0.00006292162,0.0005743899],"domain_scores_gemma":[0.99716574,0.00065529684,0.0011530921,0.00088231306,0.000060182752,0.00008338251],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0032955406,0.00030304494,0.0008064424,0.00030626814,0.00021949329,0.00014502225,0.00065726397,0.0002058052,0.0008420502],"category_scores_gemma":[0.0006127763,0.000312055,0.00023715569,0.00046713027,0.000558548,0.0006399797,0.00019108731,0.000367688,0.00015056398],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003385556,0.00017530328,0.9881504,0.00006495062,0.00002071895,0.000003077973,0.0001630909,0.00017384099,0.000059732578,0.010605319,0.00030562098,0.00024409576],"study_design_scores_gemma":[0.00067269395,0.00004308373,0.972196,0.00003167546,0.000009555368,0.000007829484,0.00011738121,0.002699709,0.00034140662,0.022194857,0.0013211616,0.00036466678],"about_ca_topic_score_codex":0.009516871,"about_ca_topic_score_gemma":0.004094346,"teacher_disagreement_score":0.10124163,"about_ca_system_score_codex":0.00050749996,"about_ca_system_score_gemma":0.00026211634,"threshold_uncertainty_score":0.9999332},"labels":[],"label_agreement":null},{"id":"W1861923579","doi":"","title":"Are Mortgage Rates Bubbling Up Trouble for Canadas Metropolitan Housing Sector","year":2009,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Vancouver Island University","funders":"","keywords":"Metropolitan area; Interest rate; Economics; Recession; Secondary mortgage market; Monetary economics; Mortgage insurance; Business; Finance; Macroeconomics; Geography","score_opus":0.058995886608277016,"score_gpt":0.23102460655108673,"score_spread":0.17202871994280972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1861923579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8437224,0.0026273602,0.009247723,0.0019206129,0.0017283608,0.0017098802,0.0075939815,0.00026255,0.13118714],"genre_scores_gemma":[0.9688572,0.0027628262,0.021661438,0.00027675348,0.0003659569,0.000005074372,0.0006958412,0.00017788987,0.005197017],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99636364,0.00013391115,0.0009537221,0.0014005491,0.00014587662,0.0010023039],"domain_scores_gemma":[0.9956459,0.00034109753,0.0020623934,0.0013565283,0.00018549044,0.00040862418],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011154215,0.00071359455,0.0017976591,0.0009752617,0.0008150624,0.00013163786,0.0016962374,0.0005062927,0.00039589615],"category_scores_gemma":[0.00031830897,0.0010646014,0.0010439809,0.00025113442,0.00046245853,0.0002906296,0.0010899593,0.0011292695,0.000032453707],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.013647538,0.005201515,0.32225725,0.016194358,0.014861067,0.0015250439,0.11273846,0.026443765,0.00086048484,0.2869661,0.14607893,0.053225506],"study_design_scores_gemma":[0.011353652,0.0009386837,0.06005932,0.002461808,0.0008985838,0.00004873992,0.05480314,0.22466476,0.00023716547,0.20333032,0.433787,0.007416853],"about_ca_topic_score_codex":0.031569738,"about_ca_topic_score_gemma":0.039276436,"teacher_disagreement_score":0.28770804,"about_ca_system_score_codex":0.0016914031,"about_ca_system_score_gemma":0.00042534032,"threshold_uncertainty_score":0.99918044},"labels":[],"label_agreement":null},{"id":"W1864811937","doi":"10.5430/ijfr.v6n4p151","title":"Mortgage Rates and the Corporate Bond Index at the Time of QEs in California","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Government bond; Interest rate; Treasury; Bond; Monetary economics; Loan; Economics; Corporate bond; Affect (linguistics); Yield (engineering); Government (linguistics); Shared appreciation mortgage; Business; Financial system; Mortgage insurance; Finance","score_opus":0.10599239415813848,"score_gpt":0.32056028633110295,"score_spread":0.21456789217296446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1864811937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98231006,0.0007457737,0.000060701357,0.003751696,0.00030499123,0.00009041385,0.000043968597,0.0000010625857,0.012691321],"genre_scores_gemma":[0.99841684,0.000593901,0.000035967467,0.00009091238,0.00020347809,0.0000028790166,0.000001896957,0.000007725205,0.0006463784],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99888134,0.00007354168,0.00062677544,0.00010013745,0.00015725549,0.00016092512],"domain_scores_gemma":[0.9985476,0.00040769676,0.00054476236,0.0001069256,0.00033692652,0.00005607213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006921232,0.000062328705,0.0002469199,0.00030133527,0.000059157457,0.00007908659,0.0004608154,0.000053309206,0.00008418565],"category_scores_gemma":[0.0019452247,0.000042510757,0.00006464797,0.00016098432,0.00038799556,0.00014207928,0.00019103571,0.0003282784,0.00009245319],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0039760186,0.00015392649,0.8602768,0.0000142289355,0.00010534704,0.000094243354,0.002893343,0.00075455074,0.00006212688,0.08785403,0.021791749,0.022023642],"study_design_scores_gemma":[0.0082478775,0.00024489439,0.46187672,0.00011728145,0.000006864095,0.00013121907,0.00027145582,0.013424715,0.0005510939,0.4309683,0.08389524,0.00026431927],"about_ca_topic_score_codex":0.00038926222,"about_ca_topic_score_gemma":0.00026899704,"teacher_disagreement_score":0.39840007,"about_ca_system_score_codex":0.00019359803,"about_ca_system_score_gemma":0.00018185949,"threshold_uncertainty_score":0.23987748},"labels":[],"label_agreement":null},{"id":"W1870692829","doi":"10.5539/ass.v11n24p26","title":"Exploring the Elements of Housing Price in Malaysia","year":2015,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Economics","score_opus":0.11635441586190257,"score_gpt":0.2575457378454305,"score_spread":0.14119132198352793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1870692829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.572847,0.000012708094,0.000093962146,0.00032121895,0.0002772568,0.000054038526,0.0000020943799,0.000006772444,0.42638496],"genre_scores_gemma":[0.99944466,0.000019373767,0.00034623744,0.00005492301,0.00008911562,0.0000070858932,3.1631035e-7,0.0000067718806,0.000031501324],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991042,0.000009756481,0.00034781103,0.00020257855,0.000051548628,0.00028410778],"domain_scores_gemma":[0.99957585,0.00001319439,0.00019984161,0.00013487168,0.000022653145,0.0000536048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002018885,0.000060593007,0.00015732078,0.00014063879,0.00014450337,0.0000669461,0.0003810747,0.000020023226,0.000015546259],"category_scores_gemma":[0.00013946634,0.00006149712,0.00003270925,0.0007156409,0.00024452969,0.0005685351,0.00009997722,0.000077583165,0.00005452771],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026391104,0.000117477764,0.40650162,0.000017905493,0.000012123687,0.000003603139,0.029249705,0.00007077084,0.00012294427,0.36561963,0.00026398565,0.19799386],"study_design_scores_gemma":[0.0009894868,0.00006850761,0.89251035,0.000027083024,0.0000041359053,0.0000017748057,0.009957044,0.0024393545,0.00036750754,0.071720146,0.02140787,0.00050675153],"about_ca_topic_score_codex":0.00016526073,"about_ca_topic_score_gemma":0.00002805855,"teacher_disagreement_score":0.48600873,"about_ca_system_score_codex":0.00021600141,"about_ca_system_score_gemma":0.00006816504,"threshold_uncertainty_score":0.250778},"labels":[],"label_agreement":null},{"id":"W1874082291","doi":"10.3968/j.pam.1925252820110201.z40","title":"The Actuary Pricing of an Innovative Housing Mortgage Insurance","year":2011,"lang":"en","type":"article","venue":"Progress in applied mathematics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Actuary; Mortgage insurance; Actuarial science; Collateralized mortgage obligation; Business; Bond insurance; Insurance policy; Property insurance; Casualty insurance; General insurance; Auto insurance risk selection","score_opus":0.049368695537644315,"score_gpt":0.24111045985119592,"score_spread":0.1917417643135516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1874082291","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86084306,0.00025321826,0.0020824387,0.000014559407,0.00012683721,0.00034392453,0.0000099561385,0.0000412413,0.13628474],"genre_scores_gemma":[0.94215804,0.000113532595,0.057578277,0.000017193905,0.000027160375,0.00005632155,0.0000024400092,0.000036996407,0.00001006386],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99854714,0.000007114519,0.0008739189,0.00024071221,0.000035767473,0.00029534515],"domain_scores_gemma":[0.99871534,0.00009474942,0.0006892243,0.00043789952,0.000027824237,0.000034972072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011504815,0.00015516799,0.0003961602,0.00015328177,0.00011020307,0.00004793088,0.00036660666,0.0000858898,0.00002110973],"category_scores_gemma":[0.00005100871,0.00014346655,0.00003536887,0.00039495432,0.00020668734,0.0001383008,0.00009497747,0.00018099239,0.000025607762],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007983293,0.00070369337,0.09406065,0.0003270469,0.00006779109,0.000005654144,0.02388655,0.00003341925,0.00003482149,0.7613806,0.0000121148605,0.11940783],"study_design_scores_gemma":[0.0021978675,0.00021525833,0.06831549,0.000279501,0.000015615637,0.000010612713,0.005039285,0.033770688,0.009858392,0.87720996,0.0016658677,0.0014214673],"about_ca_topic_score_codex":0.00001284139,"about_ca_topic_score_gemma":0.000020350104,"teacher_disagreement_score":0.13627468,"about_ca_system_score_codex":0.000057572204,"about_ca_system_score_gemma":0.000019605064,"threshold_uncertainty_score":0.5850396},"labels":[],"label_agreement":null},{"id":"W1879450074","doi":"","title":"Boston Properties (B)","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadian Seaplants (Canada)","funders":"","keywords":"Arbitrage; Hedge fund; Convertible bond; Convertible arbitrage; Bond; Stochastic game; Mathematical economics; Financial economics; Margin (machine learning); Economics; Investment (military); Risk arbitrage; Asset (computer security); Microeconomics; Business; Capital asset pricing model; Arbitrage pricing theory; Computer science; Finance; Political science; Law; Computer security","score_opus":0.03983612214560356,"score_gpt":0.18157088507160718,"score_spread":0.14173476292600362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1879450074","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63882786,0.0041649584,0.0040603857,0.00029297892,0.00073733437,0.00009679906,0.0000029051414,0.000053687265,0.35176307],"genre_scores_gemma":[0.99051106,0.0058736773,0.00017194453,0.00010449071,0.00021291546,0.0000036884317,8.210066e-7,0.0000306444,0.0030907695],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978178,0.000011753134,0.0004270879,0.00019612393,0.000019318319,0.0015278936],"domain_scores_gemma":[0.9994906,0.0000051311163,0.00024121185,0.00017366445,0.000019875413,0.00006949353],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015198879,0.00012383201,0.00023079992,0.00015584212,0.00016788731,0.00005753411,0.00026596573,0.000073988056,0.00034961093],"category_scores_gemma":[0.000043393626,0.00012767506,0.00011839299,0.000082600585,0.000044021937,0.00031234877,0.00003285746,0.0007684765,0.00094285375],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006674975,0.00007717406,0.02820868,0.000005618651,0.000111068104,0.0000023771265,0.00086105766,0.000004934322,0.000018848967,0.9579639,0.00017407857,0.012505533],"study_design_scores_gemma":[0.00047173057,0.00020907282,0.0019710797,0.000008996101,0.0000075801636,0.00019491318,0.0007172167,0.00022628388,0.00012005079,0.97603637,0.019726083,0.00031063746],"about_ca_topic_score_codex":0.00021400259,"about_ca_topic_score_gemma":0.0002610014,"teacher_disagreement_score":0.35168317,"about_ca_system_score_codex":0.0005456986,"about_ca_system_score_gemma":0.0002650114,"threshold_uncertainty_score":0.999835},"labels":[],"label_agreement":null},{"id":"W1890775038","doi":"10.3386/w24934","title":"Insolvency After the 2005 Bankruptcy Reform","year":2018,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Waterloo","keywords":"Bankruptcy; Insolvency; Foreclosure; Reform Act; Business; Consumer Protection Act; Legislation; Market liquidity; Debt; Financial system; Finance; Monetary economics; Economics; Law; Political science","score_opus":0.33969581417829947,"score_gpt":0.4538748803442545,"score_spread":0.11417906616595502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1890775038","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0039794375,0.0024100938,0.000006876033,0.0015897342,0.0020648753,0.0005269887,0.000480232,0.000022761758,0.988919],"genre_scores_gemma":[0.9127551,0.015649244,0.00029404633,0.0001593454,0.00681704,0.0004054467,0.0005200603,0.00020655902,0.06319319],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958265,0.00007564439,0.0019036023,0.0009272921,0.0003975976,0.0008693782],"domain_scores_gemma":[0.9965523,0.00044991096,0.0010139974,0.0009590544,0.00086394127,0.00016080159],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.014468376,0.00036034704,0.0009328702,0.0012519613,0.00029346172,0.00021183977,0.0012734267,0.00068402657,0.008304819],"category_scores_gemma":[0.00097455573,0.00034127483,0.00044634374,0.00023478446,0.00071694166,0.00035712324,0.00045100087,0.0010599719,0.005966505],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027060646,0.0001905062,0.0059112594,0.00029527003,0.0005460959,0.0000060356697,0.00032191115,0.000054031665,0.0000017827603,0.56747705,0.42210022,0.0028251973],"study_design_scores_gemma":[0.00025529286,0.00006788496,0.0015848702,0.000064239786,0.000006902432,0.000015996127,0.000035107452,0.00041601065,0.000008625854,0.4163576,0.5808708,0.00031664886],"about_ca_topic_score_codex":0.0039950274,"about_ca_topic_score_gemma":0.0014310746,"teacher_disagreement_score":0.9257258,"about_ca_system_score_codex":0.006266106,"about_ca_system_score_gemma":0.0023781175,"threshold_uncertainty_score":0.9999039},"labels":[],"label_agreement":null},{"id":"W1891779451","doi":"10.1093/oxfordhb/9780195380620.013.0023","title":"The Economics of New Urbanism and Smart Growth: Comparing Price Gains and Costs between New Urbanist and Conventional Developments","year":2012,"lang":"en","type":"book-chapter","venue":"Oxford University Press eBooks","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Urbanism; New Urbanism; Walkability; Smart growth; Sustainability; Diversity (politics); Quality (philosophy); Architectural engineering; Architecture; Environmental planning; Geography; Urban planning; Transport engineering; Built environment; Economic geography; Civil engineering; Engineering; Political science; Ecology","score_opus":0.058984146486045275,"score_gpt":0.19293384377195297,"score_spread":0.1339496972859077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1891779451","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020872088,0.0011791013,0.00033800353,0.000048564383,0.0001909337,0.00027806984,0.00013622771,0.000020210684,0.9769368],"genre_scores_gemma":[0.12754974,0.016189253,0.001349512,0.000054041353,0.00025233725,7.863944e-7,0.00008068882,0.00009548596,0.8544282],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988684,0.000008401208,0.00042976582,0.00039490734,0.000027240156,0.00027128495],"domain_scores_gemma":[0.9987695,0.00013404166,0.0005937596,0.00020623235,0.000025016814,0.0002713985],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026638224,0.0002766266,0.0005790973,0.00013831114,0.00029900222,0.000118581986,0.00023685278,0.00025045313,0.000025291587],"category_scores_gemma":[0.0000102116655,0.00034231163,0.00007482578,0.000006388039,0.0002491222,0.00017829187,0.00043284803,0.00022590627,0.0000019917031],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005235116,0.0000043493123,0.033037804,0.000051338036,0.0002619045,0.0000011774347,0.0002624866,4.429107e-7,2.5180628e-7,0.9557365,0.0006502583,0.00994109],"study_design_scores_gemma":[0.0009362451,0.000028675102,0.010843791,0.000055614346,0.000069671296,0.0000052674022,0.000022884546,0.000053660344,0.000005369316,0.0115925,0.97600764,0.0003787],"about_ca_topic_score_codex":0.00037697307,"about_ca_topic_score_gemma":0.000121095814,"teacher_disagreement_score":0.97535735,"about_ca_system_score_codex":0.00017965827,"about_ca_system_score_gemma":0.00009152617,"threshold_uncertainty_score":0.9999029},"labels":[],"label_agreement":null},{"id":"W1895392821","doi":"10.5539/ass.v11n24p224","title":"The Secondary Mortgage Market in the USA: Features and Structure","year":2015,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Secondary mortgage market; Secondary market; Security market; Work (physics); Mortgage insurance; Business; Commercial mortgage-backed security; Market structure; Collateralized mortgage obligation; Shared appreciation mortgage; Financial system; Economics; Actuarial science; Finance; Physics; Industrial organization","score_opus":0.02133546860690866,"score_gpt":0.234863197697735,"score_spread":0.21352772909082635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1895392821","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22494027,0.00018350549,0.0000055009727,0.002723244,0.000346752,0.00009281712,0.0000184555,0.0000062973977,0.77168316],"genre_scores_gemma":[0.99877375,0.000055103243,0.00006414188,0.00046298283,0.00016016123,0.0000039637825,8.6774537e-7,0.000005697449,0.00047331263],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991672,0.000027795071,0.00019446366,0.00025030482,0.00005331648,0.00030694267],"domain_scores_gemma":[0.9995889,0.000052398755,0.000108591674,0.00017393159,0.000014182285,0.00006199295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002271401,0.000082672086,0.00013060181,0.00006341332,0.00064846914,0.0004199677,0.00052445347,0.000058262016,0.000053635784],"category_scores_gemma":[0.00017548828,0.000059673614,0.000027174487,0.00036142184,0.00063514494,0.0003068271,0.000091304515,0.00021989863,0.000018863147],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035962472,0.000026710795,0.13842228,0.000008778163,0.00001126141,0.000010021061,0.021317385,0.0000010475437,0.000012520823,0.52135396,0.037877552,0.28092256],"study_design_scores_gemma":[0.00017733026,0.000013284938,0.8272401,0.0000012844677,0.00000103232,0.000008839261,0.0021090738,0.000047275968,0.0000025362835,0.08542563,0.08486086,0.000112758884],"about_ca_topic_score_codex":0.00023912296,"about_ca_topic_score_gemma":0.001467428,"teacher_disagreement_score":0.7738335,"about_ca_system_score_codex":0.000089710134,"about_ca_system_score_gemma":0.00007665784,"threshold_uncertainty_score":0.4987566},"labels":[],"label_agreement":null},{"id":"W1898365123","doi":"","title":"Measuring the value of life and limb : estimating compensating wage differentials among workers in Chennai and Mumbai","year":2004,"lang":"en","type":"preprint","venue":"OpenDocs (Institute of Development Studies)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute for Social and Economic Change; Department for International Development; International Development Research Centre; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Wage; Value (mathematics); Preference; Economics; Value of life; Wonder; Demographic economics; Labour economics; Actuarial science; Business; Statistics; Psychology; Mathematics","score_opus":0.07788160521486437,"score_gpt":0.24973707289843314,"score_spread":0.17185546768356877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1898365123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98627824,0.0048886444,0.0007729354,0.00016236778,0.0010977037,0.00073166005,0.000015022608,0.000016208622,0.006037221],"genre_scores_gemma":[0.9780709,0.003063658,0.018631045,0.000029324181,0.00005853099,0.000062583014,0.000013654508,0.000034337605,0.000035926776],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969499,0.000032142,0.0018984611,0.0006611778,0.000082034385,0.0003762889],"domain_scores_gemma":[0.99782664,0.0001417433,0.0015412638,0.0003525664,0.000052127332,0.000085680054],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017704043,0.0004035582,0.001541925,0.00028821777,0.0002524082,0.00009579648,0.00037011594,0.00015393131,0.00000882657],"category_scores_gemma":[0.0005553484,0.00039756668,0.000092620205,0.00012539078,0.00041140016,0.00022010767,0.0017591879,0.0004198178,0.00000315533],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006199931,0.00012984623,0.93573266,0.0024264548,0.0012316561,0.000011837412,0.015832316,0.026495954,0.000008784976,0.006655828,0.000027598697,0.011385078],"study_design_scores_gemma":[0.0025829643,0.000038822916,0.9696603,0.0042233123,0.00006749544,0.0000047302033,0.0025431635,0.0098754605,0.00015768444,0.009162244,0.0005238797,0.0011599625],"about_ca_topic_score_codex":0.00087260926,"about_ca_topic_score_gemma":0.0009986103,"teacher_disagreement_score":0.03392763,"about_ca_system_score_codex":0.00026600438,"about_ca_system_score_gemma":0.00024735005,"threshold_uncertainty_score":0.99984765},"labels":[],"label_agreement":null},{"id":"W1902503975","doi":"10.1111/j.1540-6229.2010.00292.x","title":"The Economic Impact of Anticipated House Price Changes—Evidence from Home Sales","year":2011,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Metropolitan area; Quarter (Canadian coin); Gross domestic product; House price; Collateral; Per capita; Economic impact analysis; Macroeconomics; Monetary economics; Econometrics; Agricultural economics; Labour economics; Finance; Microeconomics","score_opus":0.07881720639718277,"score_gpt":0.2508479450823426,"score_spread":0.17203073868515983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1902503975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9630495,0.0002358556,0.00007393062,0.00007586484,0.00085077895,0.0002767642,0.0005291138,0.00010978848,0.03479845],"genre_scores_gemma":[0.9085292,0.09047959,0.00052487873,0.000020497844,0.00017620833,0.00002237997,0.000029702353,0.00011489115,0.00010264086],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973527,0.00004123376,0.0012332138,0.0006602059,0.00001891394,0.00069371436],"domain_scores_gemma":[0.9970784,0.0004517028,0.00126217,0.00095380173,0.00003293628,0.0002209594],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010273454,0.00037211733,0.00083932286,0.00021607707,0.00020538358,0.00015035328,0.0007984334,0.0001907375,0.00035066542],"category_scores_gemma":[0.0000815514,0.00036417486,0.00033697337,0.00010779596,0.00027650117,0.00057421334,0.00019054236,0.00020567015,0.0013125445],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019868226,0.0003013062,0.8591261,0.00011853145,0.0020632057,0.000026736994,0.018732447,0.010750845,0.00018806521,0.033770654,0.0019217861,0.07101352],"study_design_scores_gemma":[0.002677091,0.001155985,0.82137376,0.00013837556,0.00011607655,0.000022891847,0.00076780084,0.10325517,0.0010972127,0.053486597,0.013289268,0.0026197487],"about_ca_topic_score_codex":0.03101441,"about_ca_topic_score_gemma":0.004609412,"teacher_disagreement_score":0.09250432,"about_ca_system_score_codex":0.0011306634,"about_ca_system_score_gemma":0.00025947037,"threshold_uncertainty_score":0.999881},"labels":[],"label_agreement":null},{"id":"W1902632097","doi":"10.1111/pirs.12003","title":"A Bayesian approach to hedonic price analysis","year":2014,"lang":"en","type":"article","venue":"Papers of the Regional Science Association","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University; St. Mary's University; McMaster University","funders":"","keywords":"Econometrics; Bayesian probability; Economics; Hedonic pricing; Inference; Bayesian inference; Microeconomics; Computer science; Statistics; Mathematics","score_opus":0.01462878210204886,"score_gpt":0.20054126008807302,"score_spread":0.18591247798602417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1902632097","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28397134,0.000026491665,0.007149699,0.005506035,0.00028980325,0.00018854578,0.00000891857,0.000022217122,0.70283693],"genre_scores_gemma":[0.9974573,0.000015586178,0.0012917633,0.0004386116,0.000047513346,0.000005621353,0.0000016365142,0.000004595654,0.00073734834],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990826,0.000020090498,0.0002764489,0.00027775447,0.00010797544,0.00023510153],"domain_scores_gemma":[0.9990921,0.000075848584,0.00045926403,0.00026448863,0.000042231368,0.00006606894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025946693,0.00006534866,0.0002140013,0.00023297689,0.0002130036,0.00005692177,0.00048722443,0.00004647059,0.000019842837],"category_scores_gemma":[0.0006277799,0.000059435322,0.00016909691,0.0015867575,0.00006037381,0.0001524948,0.00007161278,0.00005673562,0.000037381247],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010078167,0.00011402206,0.7525776,0.000010239677,0.00018174356,1.4594351e-8,0.0011458452,0.017700396,0.00032378707,0.22532059,0.00084650645,0.0017691616],"study_design_scores_gemma":[0.00021754023,0.00002582885,0.8687181,0.0000065707263,0.000053532498,4.197308e-7,0.00010362045,0.08441486,0.000071583265,0.015705993,0.030420229,0.00026174882],"about_ca_topic_score_codex":0.00013747634,"about_ca_topic_score_gemma":0.00002886316,"teacher_disagreement_score":0.71348596,"about_ca_system_score_codex":0.0005224328,"about_ca_system_score_gemma":0.00003880663,"threshold_uncertainty_score":0.2423702},"labels":[],"label_agreement":null},{"id":"W1905800624","doi":"","title":"Factors Affecting Residential Property Values in a Small Historic Canadian University Town","year":2007,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Zoning; Renting; Residential property; Sound (geography); Property value; Residence; Geography; Landlord; Nova scotia; Bay; Borough; Externality; Real estate; Population; Decibel; Business; Demographic economics; Archaeology; Demography; Economics; Geology; Civil engineering; Engineering; Sociology; Finance","score_opus":0.05201448236373475,"score_gpt":0.19666839094103353,"score_spread":0.14465390857729876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1905800624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7760165,0.00040161252,0.0003355927,0.00026930848,0.0006740813,0.0005528283,0.0008097287,0.000074372794,0.22086602],"genre_scores_gemma":[0.98164886,0.0019450842,0.0028688356,0.000040984876,0.000119295975,3.1332527e-7,0.00032618956,0.00008493554,0.012965499],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966578,0.00021716022,0.00070321973,0.001314406,0.000111852605,0.0009955782],"domain_scores_gemma":[0.997088,0.00027882276,0.00087540306,0.0010967242,0.00010393929,0.0005571044],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014304807,0.00061484415,0.001307822,0.0022776981,0.0006182126,0.000063714666,0.0018688748,0.00065719837,0.0006572239],"category_scores_gemma":[0.00025498297,0.00080718694,0.00069009815,0.00042726967,0.0005265273,0.00026836197,0.0015562017,0.001644251,0.000050391474],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021476003,0.0012612308,0.745352,0.0018919999,0.0017208827,0.0021144685,0.20691554,0.0038403978,0.00007312238,0.0071318494,0.008175571,0.019375319],"study_design_scores_gemma":[0.0061445194,0.0005872193,0.550897,0.0018165116,0.00037474377,0.00003460782,0.07147858,0.029096011,0.00003282236,0.015597847,0.31821504,0.0057250843],"about_ca_topic_score_codex":0.6651579,"about_ca_topic_score_gemma":0.76781803,"teacher_disagreement_score":0.31003946,"about_ca_system_score_codex":0.003677757,"about_ca_system_score_gemma":0.0010221057,"threshold_uncertainty_score":0.9994379},"labels":[],"label_agreement":null},{"id":"W1907594784","doi":"","title":"High-Interest Loans and Class: Do Payday and Title Loans Really Serve the Middle Class?","year":2012,"lang":"en","type":"article","venue":"Loyola consumer law review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bankruptcy; Middle class; Loan; Demographics; Class (philosophy); Business; Accounting; Actuarial science; Political science; Finance; Law; Sociology; Demography; Computer science; Artificial intelligence","score_opus":0.06205416457038168,"score_gpt":0.23090738054420695,"score_spread":0.16885321597382527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1907594784","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039678793,0.36136824,0.00005159574,0.00391206,0.0011017056,0.00052105414,0.00013088381,0.00006039824,0.5931753],"genre_scores_gemma":[0.79021066,0.20420371,0.00024473452,0.0030269471,0.00017485651,0.000023942488,0.000015582029,0.000044119373,0.0020554208],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99910355,0.000031295494,0.00037500952,0.00022250527,0.000016752332,0.0002508853],"domain_scores_gemma":[0.99930066,0.000085379805,0.00016491004,0.0003364127,0.000014201166,0.00009841024],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006280444,0.00014410705,0.00038639084,0.000026325239,0.000094018375,0.00008897026,0.00012925678,0.000072983166,0.0008684064],"category_scores_gemma":[0.00004078858,0.000119353106,0.000066848566,0.00006432047,0.00012950173,0.00016592896,0.00007740708,0.00014390613,0.0016324549],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000055158107,0.000044988672,0.026234744,0.0009774349,0.000096142045,0.0000018699861,0.00016991378,1.289956e-7,0.0000015381112,0.9300496,0.021704325,0.020713795],"study_design_scores_gemma":[0.00012712096,0.000009585502,0.0017786497,0.00025315644,0.000033780183,0.000013662176,0.00000703556,0.000018342347,0.0000022856193,0.0019187981,0.9956699,0.00016768633],"about_ca_topic_score_codex":0.00021533598,"about_ca_topic_score_gemma":0.00026002913,"teacher_disagreement_score":0.9739656,"about_ca_system_score_codex":0.00003489125,"about_ca_system_score_gemma":0.000011706685,"threshold_uncertainty_score":0.9991449},"labels":[],"label_agreement":null},{"id":"W1922508329","doi":"","title":"Una nota sobre el exceso de oferta de viviendas y la duración del ajuste del sector","year":2009,"lang":"es","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Welfare economics; Quarter (Canadian coin); Economics; Supply and demand; Economy; Humanities; Geography; Macroeconomics; Art","score_opus":0.027499671945659155,"score_gpt":0.2943359135585887,"score_spread":0.2668362416129295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1922508329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6690048,0.0005294879,0.00004809221,0.0011388395,0.00036779314,0.0004993401,0.00021550198,0.00006427113,0.32813185],"genre_scores_gemma":[0.94294816,0.051090267,0.00107749,0.0006917373,0.0007353984,0.000066124485,0.00004788076,0.00019330799,0.0031496016],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9927478,0.0003916577,0.0020428519,0.0017724275,0.00012702406,0.002918248],"domain_scores_gemma":[0.9955871,0.0011848664,0.0006925854,0.001612249,0.00010556158,0.0008176299],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0062102396,0.0007616828,0.0014699814,0.0014740016,0.00057895,0.0008851179,0.0015221129,0.001086311,0.0005533142],"category_scores_gemma":[0.0011730677,0.0010528049,0.0005419462,0.0005540957,0.0004962724,0.0007213457,0.0004202804,0.0019703442,0.0004033279],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010629308,0.001662468,0.3833501,0.00066573895,0.0004654143,0.00034446307,0.0037388487,0.013944537,0.00048603327,0.05396394,0.0011059154,0.5392096],"study_design_scores_gemma":[0.0062771463,0.0010243674,0.4309802,0.000875876,0.00006616971,0.00025835793,0.0019716057,0.2621962,0.0004703954,0.05328101,0.23866057,0.003938077],"about_ca_topic_score_codex":0.0005488639,"about_ca_topic_score_gemma":0.0005582601,"teacher_disagreement_score":0.5352715,"about_ca_system_score_codex":0.0035380928,"about_ca_system_score_gemma":0.0010199825,"threshold_uncertainty_score":0.99919224},"labels":[],"label_agreement":null},{"id":"W192654773","doi":"","title":"Generational Differences and Future Housing Markets","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Regional Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Population; Immigration; Geography; Demographic economics; Census; Political science; Futures contract; Humanities; Welfare economics; Demography; Sociology; Economics; Finance","score_opus":0.04280827043365915,"score_gpt":0.18567408126089147,"score_spread":0.14286581082723232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W192654773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9609427,0.0028998926,0.00014528017,0.006737963,0.00087284367,0.000028499298,0.000008075952,0.0000025413415,0.028362237],"genre_scores_gemma":[0.9969151,0.0008348636,0.0011022397,0.00038955285,0.0006066939,3.1287868e-7,2.3165094e-7,0.000005108114,0.00014589177],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992564,0.0000064319333,0.0002880346,0.00015713151,0.00004789898,0.0002441466],"domain_scores_gemma":[0.9991708,0.000022797842,0.00023042364,0.00007798818,0.00006223421,0.000435801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000602499,0.00007209857,0.0001577736,0.00038242893,0.00035612483,0.00022380224,0.00024666512,0.000039426868,0.00050469686],"category_scores_gemma":[0.000057314133,0.000073727846,0.000041934745,0.00022101862,0.0004061813,0.00048289236,0.0000102113445,0.00010374391,0.000021873671],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012277899,0.000027792297,0.6203992,0.0000138579035,0.000032792275,0.00007968596,0.0016715188,0.0000739911,0.000043472195,0.29732645,0.017109104,0.06320991],"study_design_scores_gemma":[0.00040549846,0.0000707625,0.53894943,0.000028939403,0.0000049940927,0.00044148308,0.00021306767,0.008763413,0.000007771065,0.022302741,0.42845568,0.0003561774],"about_ca_topic_score_codex":0.00038614523,"about_ca_topic_score_gemma":0.0013774524,"teacher_disagreement_score":0.41134658,"about_ca_system_score_codex":0.0001444302,"about_ca_system_score_gemma":0.00021556493,"threshold_uncertainty_score":0.55260766},"labels":[],"label_agreement":null},{"id":"W1933180264","doi":"10.1111/reec.12015","title":"Bidding Wars for Houses","year":2013,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Bidding; Boom; Economics; Bust; Irrationality; Fell; Stadium; Monetary economics; Microeconomics; Political science; Rationality; Engineering","score_opus":0.03467987138914597,"score_gpt":0.2106069623479666,"score_spread":0.17592709095882064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1933180264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7410422,0.000025196758,0.0009974577,0.00040748733,0.0007761475,0.00044496966,0.00014188449,0.00011290324,0.25605172],"genre_scores_gemma":[0.9733912,0.01609019,0.007679174,0.00034049834,0.00044981658,0.00023288353,0.00008272839,0.00016217805,0.001571378],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980913,0.0000066222788,0.0008031638,0.00052272005,0.000008709308,0.00056751346],"domain_scores_gemma":[0.99886876,0.0001486862,0.000395448,0.00038515968,0.000029208708,0.0001727495],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00041190605,0.0002342577,0.0005174068,0.00021482752,0.0001637946,0.00027517427,0.00028650174,0.00013769034,0.00043501367],"category_scores_gemma":[0.00006184729,0.00030427994,0.00020262283,0.000071976945,0.00006754205,0.00065711583,0.000067202156,0.000102601334,0.0022740618],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012153712,0.00027678555,0.07466441,0.00024352736,0.00037159276,0.000003413107,0.0022541457,0.009171682,0.00006141715,0.35449898,0.018416699,0.5399158],"study_design_scores_gemma":[0.0024517046,0.00025137878,0.01783583,0.000023913693,0.000023654473,0.000015212503,0.0005298401,0.17406584,0.00022882696,0.22055899,0.58219296,0.0018218281],"about_ca_topic_score_codex":0.0015540966,"about_ca_topic_score_gemma":0.00017649058,"teacher_disagreement_score":0.5637763,"about_ca_system_score_codex":0.00025789675,"about_ca_system_score_gemma":0.000038044753,"threshold_uncertainty_score":0.99994093},"labels":[],"label_agreement":null},{"id":"W1934816454","doi":"10.3968/7482","title":"Macroeconomic Drivers of House Prices in Malaysia","year":2015,"lang":"en","type":"article","venue":"Canadian social science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Inflation (cosmology); Monetary economics; Money supply; House price; Stock (firearms); Stock market; Economic bubble; Inflation rate; Interest rate; Macroeconomics","score_opus":0.028908846249822165,"score_gpt":0.2138266033987719,"score_spread":0.18491775714894976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1934816454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6461042,0.000026185118,0.000011825364,0.00018714118,0.0002654569,0.000055271583,0.000022366963,0.000009019239,0.35331848],"genre_scores_gemma":[0.9994699,0.000018895515,0.00021512237,0.00015206884,0.000057368205,0.000002998706,8.7465696e-7,0.000011411822,0.000071381364],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989945,0.0000037362483,0.00030414353,0.0002649586,0.000024110574,0.00040853285],"domain_scores_gemma":[0.99936116,0.000009785658,0.00015937157,0.0001314684,0.000025410453,0.00031281993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093769154,0.00007378438,0.00021923495,0.00047850687,0.000094642426,0.00006448158,0.00041766203,0.00006139685,0.00008552011],"category_scores_gemma":[0.00008322602,0.000103427614,0.00003828572,0.00048733182,0.00038858352,0.0003743096,0.000035995155,0.00007158543,0.00026384802],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000050665763,0.0000139539125,0.7801178,0.000006621243,0.000004380395,0.0000056007566,0.0037488732,0.00008638401,0.000013695757,0.21243577,0.0010364072,0.00252543],"study_design_scores_gemma":[0.0029598104,0.00015838651,0.5531557,0.000034960172,0.000009788719,0.00000835807,0.011495362,0.011494879,0.000305348,0.09162125,0.32688022,0.0018759253],"about_ca_topic_score_codex":0.03647316,"about_ca_topic_score_gemma":0.033389736,"teacher_disagreement_score":0.35336563,"about_ca_system_score_codex":0.0010912991,"about_ca_system_score_gemma":0.00049372035,"threshold_uncertainty_score":0.9842484},"labels":[],"label_agreement":null},{"id":"W1934926634","doi":"10.1111/jmcb.12194","title":"Explaining House Price Dynamics: Isolating the Role of Nonfundamentals","year":2015,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":96,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; House price; Volatility (finance); Proxy (statistics); Market liquidity; Econometrics; Market sentiment; Boom; Quarter (Canadian coin); Relative price; Monetary economics; Financial economics; Computer science","score_opus":0.027187337209015224,"score_gpt":0.21485012225540534,"score_spread":0.1876627850463901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1934926634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96708614,0.0020617207,0.0015555378,0.0002556297,0.0005826376,0.000054950167,0.000008228991,0.000009585413,0.028385594],"genre_scores_gemma":[0.99727035,0.00031723105,0.0018644345,0.000051471812,0.00044914102,8.0558266e-7,7.682774e-7,0.000023114826,0.000022666589],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988339,0.000018606626,0.00079655595,0.00011446004,0.0000528526,0.00018360403],"domain_scores_gemma":[0.9984064,0.00012997419,0.001194185,0.00012584841,0.0000584115,0.00008519004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018619597,0.00010438838,0.00037009022,0.00016445041,0.000103898485,0.00010631017,0.00019999089,0.000062399944,0.000029709203],"category_scores_gemma":[0.00019589308,0.00009057157,0.00009429923,0.00009763503,0.000055431923,0.0003806858,0.00007712473,0.00020224082,0.000006536242],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036400295,0.00019680905,0.866609,0.00007829719,0.00042702557,0.000024008787,0.021457639,0.0029854905,0.0006929961,0.039243214,0.0016416968,0.06627981],"study_design_scores_gemma":[0.0065789144,0.0017074702,0.031742018,0.000815617,0.00018861264,0.00069794664,0.04895061,0.5535228,0.002118295,0.2738786,0.07817677,0.0016222958],"about_ca_topic_score_codex":0.000057387802,"about_ca_topic_score_gemma":0.000011405868,"teacher_disagreement_score":0.834867,"about_ca_system_score_codex":0.000106708416,"about_ca_system_score_gemma":0.000035916193,"threshold_uncertainty_score":0.36934015},"labels":[],"label_agreement":null},{"id":"W1940192045","doi":"","title":"Do Open Sewers Lead to a Reduction in Housing Prices? Evidence from Rawalpindi, Pakistan","year":2013,"lang":"en","type":"preprint","venue":"OpenDocs (Institute of Development Studies)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre; Direktoratet for Utviklingssamarbeid; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Sanitary sewer; Lead (geology); Value (mathematics); Reduction (mathematics); Business; Natural resource economics; Economics; Environmental engineering; Engineering; Mathematics; Geology; Statistics","score_opus":0.13839277304641243,"score_gpt":0.3331481880109364,"score_spread":0.19475541496452395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1940192045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.957055,0.003944532,0.0012635583,0.000981031,0.0058960565,0.0029873673,0.00008449898,0.000046501507,0.027741479],"genre_scores_gemma":[0.85277915,0.011191777,0.13377798,0.0001932116,0.00021147523,0.0007157269,0.00013100322,0.000102999475,0.00089668774],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9950658,0.000033147306,0.002471933,0.0016534274,0.00012557316,0.0006501354],"domain_scores_gemma":[0.9969314,0.000079657264,0.001711734,0.00096548366,0.00014736775,0.00016435377],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018928553,0.00061678095,0.0019491942,0.00069301197,0.00027752615,0.0005963843,0.0017245206,0.00028136914,0.00020272743],"category_scores_gemma":[0.00036216536,0.0007530127,0.00014214993,0.00045552803,0.00015326757,0.0012556647,0.004576191,0.00053757615,0.0005760671],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020394602,0.00219151,0.3760542,0.0052640736,0.008515343,0.00032345785,0.17226414,0.062007908,0.00035691014,0.024939489,0.05143068,0.29461282],"study_design_scores_gemma":[0.00857232,0.00034797142,0.17167774,0.02464102,0.00023465989,0.000020721429,0.0119024515,0.0020437136,0.0028229426,0.05621377,0.71103966,0.0104830405],"about_ca_topic_score_codex":0.0074609783,"about_ca_topic_score_gemma":0.0024464326,"teacher_disagreement_score":0.65960896,"about_ca_system_score_codex":0.0019721396,"about_ca_system_score_gemma":0.0006237591,"threshold_uncertainty_score":0.9994921},"labels":[],"label_agreement":null},{"id":"W1942389511","doi":"","title":"Not Here? Housing Market Policy and the Risk of a Housing Bust","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bust; Underwriting; Boom; Deindustrialization; Default; Economics; Foreclosure; Business; Monetary economics; Finance; Economy; Engineering","score_opus":0.03457305331024239,"score_gpt":0.2778100029099649,"score_spread":0.2432369495997225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1942389511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7044825,0.00037284906,0.000022709493,0.0008436551,0.0006878606,0.0007915571,0.00032963394,0.000035415676,0.29243383],"genre_scores_gemma":[0.9434081,0.053344242,0.0013391804,0.00014138526,0.00070446444,0.0000968039,0.000017920387,0.00015930024,0.00078864465],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9951305,0.00034485216,0.0019334976,0.0013601256,0.000096635085,0.0011343849],"domain_scores_gemma":[0.9946046,0.0018031854,0.0014636628,0.0018008014,0.00009576194,0.00023200206],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.010614155,0.0005362993,0.0016862692,0.0013704916,0.0004220085,0.00049132394,0.0011217087,0.00094804825,0.0001808397],"category_scores_gemma":[0.00312481,0.0005561266,0.00044225607,0.0002790304,0.0016681749,0.00020490374,0.002043641,0.0035049848,0.000020005584],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029370326,0.0005553917,0.31777173,0.0014396926,0.0012663602,0.000038349623,0.004247355,0.016484646,0.00004619737,0.07531442,0.00027434475,0.5796245],"study_design_scores_gemma":[0.015068423,0.00026631966,0.10264769,0.0011227449,0.00015256053,0.00006231107,0.0028583873,0.4498649,0.00027419077,0.29719627,0.12589774,0.0045884936],"about_ca_topic_score_codex":0.0040711053,"about_ca_topic_score_gemma":0.0023554848,"teacher_disagreement_score":0.575036,"about_ca_system_score_codex":0.00082608836,"about_ca_system_score_gemma":0.00053642073,"threshold_uncertainty_score":0.99968904},"labels":[],"label_agreement":null},{"id":"W1962685253","doi":"","title":"The environmental sustainability of Australia's private rental housing stock","year":2010,"lang":"en","type":"article","venue":"ANU Open Research (Australian National University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Australian Housing and Urban Research Institute; Australian Government","keywords":"Renting; Stock (firearms); Sustainability; Business; Rental housing; Finance; Geography; Political science; Archaeology","score_opus":0.11355032220888875,"score_gpt":0.32208025139089563,"score_spread":0.20852992918200688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1962685253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94571316,0.0000034483437,0.000023056291,0.0019434151,0.00016013948,0.0004928287,0.00017421793,0.000008601225,0.05148115],"genre_scores_gemma":[0.97353345,0.00004752664,0.00029526922,0.0000071336754,0.000057072764,0.0000022860181,0.000029737314,0.000012017797,0.026015505],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99862933,0.000075202865,0.00033285617,0.00037828728,0.0001439767,0.00044036304],"domain_scores_gemma":[0.9990041,0.00021764231,0.00019166757,0.00033437024,0.00011766588,0.0001345441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025848416,0.000111382345,0.00019620228,0.00027540614,0.00062923343,0.00023419628,0.0011619646,0.00011939096,0.00075527845],"category_scores_gemma":[0.00021046004,0.00012337179,0.00009191942,0.0004030559,0.00065465027,0.0006583652,0.0005343752,0.0005312378,0.00013894496],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019404794,0.00022479099,0.19433257,0.000019675503,0.00006758498,0.000014727203,0.00015322088,0.0000568468,0.0003880714,0.797378,0.006012852,0.0011576047],"study_design_scores_gemma":[0.0009678429,0.00010822248,0.15153226,0.000008419915,0.000004374073,0.000004215228,0.0007451857,0.00021115258,0.00077058,0.08379929,0.76155436,0.00029408647],"about_ca_topic_score_codex":0.0011853538,"about_ca_topic_score_gemma":0.00038235882,"teacher_disagreement_score":0.7555415,"about_ca_system_score_codex":0.00058237195,"about_ca_system_score_gemma":0.00014188708,"threshold_uncertainty_score":0.82697695},"labels":[],"label_agreement":null},{"id":"W1963129297","doi":"","title":"Systemic Risk through Securitization: The Result of Deregulation and Regulatory Failure","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Securitization; Business; Financial system; Asset (computer security); Secondary market; Systemic risk; Loan-to-value ratio; Finance; Monetary economics; Mortgage insurance; Financial crisis; Economics","score_opus":0.00733261869450765,"score_gpt":0.1867023911073292,"score_spread":0.17936977241282154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963129297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9705001,0.009380577,0.010913111,0.0017050309,0.00016476445,0.00013697614,0.000011062922,0.000018435145,0.0071699405],"genre_scores_gemma":[0.9860782,0.013341951,0.00013667814,0.00006204969,0.00020676384,0.0000010403371,0.0000032997116,0.000012142006,0.00015785971],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99861664,0.000037877544,0.00054421223,0.00017043985,0.00003261805,0.0005981948],"domain_scores_gemma":[0.9990729,0.000036881742,0.00062557636,0.00019973291,0.00003684157,0.000028072564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018166841,0.00010370148,0.0002304645,0.0000778474,0.00023620352,0.00006252604,0.00015287769,0.00008882371,0.000015003272],"category_scores_gemma":[0.00007075956,0.000094327435,0.000075070464,0.00012713672,0.00005105673,0.00028716167,0.000013460179,0.0005347655,0.000010577949],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034012683,0.000020131953,0.014061017,0.000009329194,0.000068500354,2.9713374e-7,0.0009026706,0.00047512495,0.000019988609,0.9742395,0.0001855209,0.0099838665],"study_design_scores_gemma":[0.00057789194,0.00011804291,0.013224566,0.000025814583,0.000017318365,0.00022840337,0.00082343095,0.001350208,0.00002292338,0.9805951,0.0028700875,0.00014617167],"about_ca_topic_score_codex":0.00004140102,"about_ca_topic_score_gemma":0.00014892753,"teacher_disagreement_score":0.0155781135,"about_ca_system_score_codex":0.00027959872,"about_ca_system_score_gemma":0.00013289736,"threshold_uncertainty_score":0.3846561},"labels":[],"label_agreement":null},{"id":"W1963868347","doi":"10.1093/restud/rds004","title":"Housing Liquidity, Mobility, and the Labour Market","year":2012,"lang":"en","type":"article","venue":"The Review of Economic Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":162,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Economics; Market liquidity; Labour economics; Monetary economics","score_opus":0.06281936713312523,"score_gpt":0.28591732441232315,"score_spread":0.2230979572791979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963868347","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22035381,0.7013162,0.000013174793,0.0059691905,0.0009784644,0.00057317654,0.000042211523,0.00002048533,0.070733294],"genre_scores_gemma":[0.51431507,0.48425418,0.000059812985,0.0008224649,0.00022797394,0.00003428596,6.312636e-7,0.00001482598,0.0002707488],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99843913,0.00009741353,0.00091265305,0.00022073765,0.00001710566,0.00031293242],"domain_scores_gemma":[0.9980583,0.0006970195,0.0006426534,0.0005340091,0.000021410693,0.00004656786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066032954,0.00018539961,0.0009921533,0.00004553886,0.00021503252,0.000029578767,0.0003113865,0.000038626782,0.00033534374],"category_scores_gemma":[0.00044230957,0.00012015888,0.00019883382,0.00006336034,0.00061637646,0.00021364389,0.00038501466,0.000117412026,0.00017514621],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015613671,0.00012673039,0.06794755,0.009153331,0.0013574765,3.6573317e-7,0.0034450537,0.000021543963,7.772775e-7,0.8564916,0.043061428,0.018237988],"study_design_scores_gemma":[0.003033982,0.00009937504,0.03389446,0.003316499,0.00039050347,0.000044974317,0.0018373578,0.0010654088,0.00003781685,0.18111722,0.773936,0.0012264205],"about_ca_topic_score_codex":0.000119226956,"about_ca_topic_score_gemma":0.000023376459,"teacher_disagreement_score":0.73087454,"about_ca_system_score_codex":0.000108163644,"about_ca_system_score_gemma":0.000014671082,"threshold_uncertainty_score":0.4899937},"labels":[],"label_agreement":null},{"id":"W1964180441","doi":"10.1111/1540-6229.00801","title":"Space‐Varying Regression Coefficients: A Semi‐parametric Approach Applied to Real Estate Markets","year":2000,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":129,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Real estate; Econometrics; Hedonic regression; Parametric statistics; Curse of dimensionality; Smoothing; Economics; Space (punctuation); Covariate; Computer science; Semiparametric model; Database transaction; Mathematics; Statistics; Nonparametric statistics; Finance","score_opus":0.020666476743610544,"score_gpt":0.21765629446851067,"score_spread":0.19698981772490012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964180441","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4981251,0.000009932661,0.00037900812,0.00012628513,0.00030565908,0.00042256346,0.00013757328,0.00012968149,0.5003642],"genre_scores_gemma":[0.9049633,0.0810523,0.008205821,0.0002717335,0.00035423756,0.00013306098,0.00030003008,0.0002706598,0.0044488125],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956197,0.000043955948,0.0015460162,0.0015039179,0.000057217476,0.0012291507],"domain_scores_gemma":[0.9975054,0.00019270694,0.00061377056,0.0010510852,0.00003314874,0.00060383463],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013578009,0.0006317185,0.0011968152,0.000853553,0.00036365862,0.0004170973,0.000683788,0.00033081364,0.00073809933],"category_scores_gemma":[0.00006393915,0.00077386183,0.00026324164,0.0007414056,0.00012346904,0.00046661604,0.0001925791,0.00040146962,0.003073553],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014169004,0.0006828544,0.010615532,0.00017635438,0.00021770957,0.000025032083,0.0036170015,0.14633888,0.000029272609,0.00977645,0.0036773428,0.82342666],"study_design_scores_gemma":[0.0055119083,0.00036288443,0.015599637,0.00009978712,0.000075090335,0.000076565055,0.0007887104,0.36597347,0.00019347631,0.0056200977,0.6015552,0.0041431384],"about_ca_topic_score_codex":0.0019712045,"about_ca_topic_score_gemma":0.000089600464,"teacher_disagreement_score":0.81928355,"about_ca_system_score_codex":0.00086854794,"about_ca_system_score_gemma":0.000101031656,"threshold_uncertainty_score":0.99947125},"labels":[],"label_agreement":null},{"id":"W1964563073","doi":"10.1111/j.0017-4815.2004.00246.x","title":"Housing Demand, Coping Strategy, and Selection Bias","year":2004,"lang":"en","type":"article","venue":"Growth and Change","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital","funders":"","keywords":"Economics; Renting; Coping (psychology); Selection bias; Variables; Public economics; Microeconomics; Labour economics","score_opus":0.07832159419074099,"score_gpt":0.2195597424905081,"score_spread":0.1412381482997671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964563073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98050356,0.0014789681,0.0010533317,0.00045906278,0.00013215607,0.00011168015,0.0000110405435,0.000042706513,0.016207524],"genre_scores_gemma":[0.9966861,0.0024588965,0.00027247358,0.00030719265,0.00022226194,0.000009373939,0.00000410595,0.000015733796,0.000023857903],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99935085,0.0000046242226,0.00019193444,0.00023491852,0.000010430098,0.00020723983],"domain_scores_gemma":[0.999763,0.0000119380275,0.0000940726,0.000046701494,0.0000071588865,0.00007712747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018358238,0.00010065481,0.00018318795,0.00011962079,0.00015404687,0.0001147564,0.00003469919,0.000076500626,0.000020187115],"category_scores_gemma":[0.000016759284,0.0001212224,0.000023746465,0.00009180012,0.000036457997,0.00027102968,0.000027138083,0.000072848736,0.000024463005],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006793457,0.00010081474,0.6836467,0.00040080765,0.00007947998,0.000012032495,0.0045634187,0.000055107204,0.00017538611,0.28165758,0.00017471619,0.029066062],"study_design_scores_gemma":[0.007830629,0.0010154857,0.5604622,0.00027075098,0.00006381105,0.00017609744,0.00092494296,0.005919863,0.0014982417,0.4000599,0.019149637,0.0026284324],"about_ca_topic_score_codex":0.00067442126,"about_ca_topic_score_gemma":0.00020405387,"teacher_disagreement_score":0.12318448,"about_ca_system_score_codex":0.000034297675,"about_ca_system_score_gemma":0.0000073732435,"threshold_uncertainty_score":0.4943306},"labels":[],"label_agreement":null},{"id":"W1964763104","doi":"10.1007/s11293-013-9371-5","title":"The Monetary Transmission Mechanism, Non-residential Fixed Investment and Housing","year":2013,"lang":"en","type":"article","venue":"Atlantic Economic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Economics; Interest rate; Monetary economics; Vector autoregression; Monetary policy; Debt; Investment (military); Consumption (sociology); Macroeconomics","score_opus":0.01293156049828274,"score_gpt":0.1884345169225588,"score_spread":0.17550295642427607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964763104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9803563,0.0007067223,0.00326277,0.0021329396,0.0011625835,0.00024293423,0.0000035501257,0.000022628794,0.012109574],"genre_scores_gemma":[0.99280554,0.0048226104,0.0011722525,0.00038487028,0.0004439869,0.00001052834,0.000003883582,0.000039510298,0.0003168253],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982793,0.000027290505,0.0008784138,0.0003148988,0.00002547537,0.00047467268],"domain_scores_gemma":[0.99894774,0.00010288934,0.00045304955,0.00024344452,0.0000137409315,0.00023912679],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00091098255,0.00020840365,0.00037819816,0.00013982072,0.00069455995,0.0008110423,0.00029251253,0.000107405685,0.00062840735],"category_scores_gemma":[0.000018261526,0.00018537583,0.00014165833,0.000035511555,0.00009276471,0.0005545082,0.00007304712,0.00029305383,0.00088397984],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035617803,0.000338665,0.3867254,0.00019893303,0.001921239,0.00012727699,0.005575512,0.002649346,0.0016815164,0.34045288,0.09199723,0.16797584],"study_design_scores_gemma":[0.0035303456,0.0002577171,0.069483526,0.0001111063,0.00007187158,0.00057850673,0.0006725096,0.22150797,0.0003448034,0.63404465,0.06809325,0.0013037514],"about_ca_topic_score_codex":0.0010939939,"about_ca_topic_score_gemma":0.00009365209,"teacher_disagreement_score":0.31724185,"about_ca_system_score_codex":0.00017714831,"about_ca_system_score_gemma":0.000053107717,"threshold_uncertainty_score":0.99989396},"labels":[],"label_agreement":null},{"id":"W1964986950","doi":"10.1111/j.1538-4632.2000.tb00427.x","title":"The Diurnal Cycle of Regional Commuter Systems: North Wales, 1991","year":2000,"lang":"en","type":"article","venue":"Geographical Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Diurnal cycle; Geography; Climatology; Geology; Meteorology","score_opus":0.013587246710895803,"score_gpt":0.18488589889095186,"score_spread":0.17129865218005605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964986950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9735869,0.0016049328,0.00023590866,0.00080062746,0.00009347044,0.00007207282,0.00008729646,0.000024326178,0.023494426],"genre_scores_gemma":[0.9937281,0.005479129,0.00007768769,0.00010969181,0.00008931453,0.000010425718,0.0000627985,0.000011688853,0.0004311915],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984948,0.000037642647,0.00080500613,0.00029467276,0.000056226425,0.0003116634],"domain_scores_gemma":[0.9989177,0.0001368729,0.00027963007,0.00052976725,0.000031024643,0.0001049981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061500137,0.00013670528,0.00052085886,0.00034896974,0.0002929652,0.000112975176,0.00040180938,0.00008918809,0.0006646741],"category_scores_gemma":[0.000016234539,0.000114638955,0.0006355939,0.0012225732,0.00023472102,0.0000985085,0.000039550345,0.00017426742,0.00015214915],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056134446,0.00011087438,0.96121055,0.000015840054,0.001496628,0.0000026753034,0.000077629076,0.0066426294,1.8602339e-7,0.020841943,0.000890314,0.008654603],"study_design_scores_gemma":[0.0004169657,0.000046564357,0.7015932,0.000008947602,0.0003209773,0.0000060779143,0.00004755615,0.0503247,4.2644083e-7,0.010532712,0.23634543,0.00035643857],"about_ca_topic_score_codex":0.002300664,"about_ca_topic_score_gemma":0.0015187707,"teacher_disagreement_score":0.25961733,"about_ca_system_score_codex":0.000023167715,"about_ca_system_score_gemma":0.0000061158357,"threshold_uncertainty_score":0.7277715},"labels":[],"label_agreement":null},{"id":"W1966064820","doi":"","title":"Tennessee Housing Market Brief, 3rd Quarter 2007","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economics; Business; Geography; Archaeology","score_opus":0.04022952884476584,"score_gpt":0.26950820614843163,"score_spread":0.2292786773036658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966064820","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24237648,0.0005297659,0.00004354586,0.0005060992,0.0023694788,0.0008290153,0.00028566658,0.00012396758,0.752936],"genre_scores_gemma":[0.91115135,0.0768675,0.0016995412,0.00039115848,0.0016323844,0.00030364055,0.00017401208,0.00039395056,0.0073864395],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9927411,0.00019921143,0.002425379,0.0024214203,0.0001269084,0.002085954],"domain_scores_gemma":[0.99562865,0.0005737935,0.00092475064,0.002294011,0.00011754037,0.00046124798],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.00448703,0.00081784435,0.001884604,0.0017850847,0.0004419081,0.0005748059,0.001543147,0.0012998062,0.0017538978],"category_scores_gemma":[0.00059885945,0.001128915,0.0006116712,0.00029409287,0.0006158477,0.0004138064,0.0015812741,0.0030069696,0.0004978671],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017289438,0.00280326,0.36502486,0.0024128887,0.0017710415,0.0014384504,0.005189064,0.029396411,0.000028079563,0.016759396,0.07647841,0.4969692],"study_design_scores_gemma":[0.0035324313,0.00025795086,0.038096227,0.0006346985,0.00002477209,0.00013596941,0.0009739036,0.108410895,0.00004217213,0.041483667,0.8020055,0.0044017723],"about_ca_topic_score_codex":0.00062909257,"about_ca_topic_score_gemma":0.00046120162,"teacher_disagreement_score":0.74554956,"about_ca_system_score_codex":0.0023358248,"about_ca_system_score_gemma":0.0004471803,"threshold_uncertainty_score":0.9999967},"labels":[],"label_agreement":null},{"id":"W1966161831","doi":"10.1007/s11146-009-9197-8","title":"House Prices and Economic Growth","year":2009,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":129,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Collateral; Metropolitan area; Economics; House price; Wealth effect; Quarter (Canadian coin); Statistic; Econometrics; Monetary economics; Finance; Geography; Monetary policy; Mathematics; Statistics","score_opus":0.013945078168486513,"score_gpt":0.19693202438519647,"score_spread":0.18298694621670997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966161831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.971834,0.0007386396,0.00008005109,0.0015007744,0.00030524383,0.000083971245,0.000021158303,0.000014908208,0.025421225],"genre_scores_gemma":[0.6979007,0.30118656,0.00050476973,0.00018220361,0.00015417601,5.696391e-7,6.6397723e-7,0.000020047337,0.00005027095],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9986138,0.000014592213,0.00086239737,0.00020348602,0.000012349668,0.00029337907],"domain_scores_gemma":[0.9985601,0.000111046495,0.0010047709,0.00020530536,0.00002131682,0.00009747116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011610858,0.00019208016,0.0005396095,0.00015771014,0.0001653251,0.00013406388,0.00026776156,0.0000851777,0.000013516446],"category_scores_gemma":[0.000023444694,0.0001740533,0.00008463775,0.000044669945,0.00013565437,0.00068977376,0.000048801838,0.00020824271,0.000045438945],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013949695,0.00024251433,0.09691836,0.00011289862,0.00033876524,0.00003702688,0.0110546,0.0065207165,0.000029861447,0.4053872,0.004135367,0.47382775],"study_design_scores_gemma":[0.005623489,0.0025798976,0.38970602,0.00012401705,0.00015888628,0.0013735987,0.0014254831,0.024725689,0.00029179125,0.37413695,0.19783157,0.002022612],"about_ca_topic_score_codex":0.00030385444,"about_ca_topic_score_gemma":0.00009726301,"teacher_disagreement_score":0.47180513,"about_ca_system_score_codex":0.00010506781,"about_ca_system_score_gemma":0.000046680896,"threshold_uncertainty_score":0.70976883},"labels":[],"label_agreement":null},{"id":"W1966621010","doi":"10.1068/b3023","title":"The Impact of Surrounding Land Use and Vegetation on Single-Family House Prices","year":2004,"lang":"en","type":"article","venue":"Environment and Planning B Planning and Design","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Zoning; Land use; Vegetation (pathology); Spatial analysis; Geography; Built environment; Externality; Spatial heterogeneity; Environmental resource management; Econometrics; Environmental science; Remote sensing; Economics; Civil engineering; Ecology","score_opus":0.0756351511499351,"score_gpt":0.2292951604783534,"score_spread":0.1536600093284183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966621010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98880005,0.0036692051,0.0062523913,0.000027677086,0.00007039823,0.000116677045,0.0000074387417,0.000023149567,0.0010330274],"genre_scores_gemma":[0.99765766,0.00095741625,0.0012631101,0.000022888558,0.000043269007,0.00000379271,0.000004510447,0.000021135816,0.000026230886],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921006,0.000020827609,0.00027816722,0.00025455278,0.000029616125,0.000206754],"domain_scores_gemma":[0.99912983,0.00046011366,0.00022106021,0.000115210976,0.000002942864,0.00007083231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006013222,0.00015471294,0.0002329533,0.00010522043,0.00028051005,0.00023294993,0.000050717357,0.00007416737,0.0000016293899],"category_scores_gemma":[0.00006350542,0.00012985559,0.00003235967,0.000035822726,0.00009973773,0.0002312783,0.000025984718,0.00010646016,0.0000057600396],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020708809,0.000044687462,0.9048369,0.000021720292,0.00007632158,0.00000890375,0.0025996468,0.08933817,0.00023375214,0.0011687885,0.00008187656,0.001382135],"study_design_scores_gemma":[0.0011809203,0.0006931413,0.98355186,0.00017710213,0.00001777317,0.000013882089,0.00024280898,0.0072541987,0.00011498205,0.005518072,0.00087126996,0.00036397832],"about_ca_topic_score_codex":0.00013617003,"about_ca_topic_score_gemma":6.44279e-7,"teacher_disagreement_score":0.08208397,"about_ca_system_score_codex":0.00005256383,"about_ca_system_score_gemma":0.000008436458,"threshold_uncertainty_score":0.5295357},"labels":[],"label_agreement":null},{"id":"W1966982905","doi":"10.1177/0739456x07305796","title":"Public Finance in Planning Education and Practice","year":2007,"lang":"en","type":"article","venue":"Journal of Planning Education and Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Syllabus; Curriculum; Public finance; Public relations; Comprehensive planning; Finance; Public administration; Political science; Business; Sociology; Economics; Economic growth; Environmental planning; Pedagogy","score_opus":0.18881794079427375,"score_gpt":0.41425951633522357,"score_spread":0.22544157554094982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966982905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89048105,0.009134897,0.00028652773,0.0037788847,0.00077541335,0.00007562886,8.457393e-7,0.0000032687553,0.095463455],"genre_scores_gemma":[0.99449944,0.0012880838,0.0029827734,0.00019439409,0.0003702518,0.000002391591,0.0000021616484,0.000010311122,0.00065021106],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99894047,0.00005827219,0.0005305077,0.00015705712,0.00006103624,0.00025265562],"domain_scores_gemma":[0.9986521,0.0005762601,0.00037263072,0.000092321454,0.00019162286,0.00011505339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00810367,0.00006691468,0.00017980131,0.0010717822,0.00014003407,0.00019912673,0.000110573266,0.00008458728,0.00001683634],"category_scores_gemma":[0.0020029645,0.000072868475,0.000020051955,0.00031852952,0.00006488323,0.00064631016,0.00003336023,0.00045716806,0.0000097242955],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024998173,0.0009174763,0.7477586,0.00010699716,0.00003227743,0.000019570172,0.021460278,0.00008068398,0.000057512872,0.05019279,0.013759456,0.16536433],"study_design_scores_gemma":[0.0005328827,0.0001573813,0.43911162,0.00029209448,0.000003505341,0.00042971678,0.012346381,0.00034465204,0.000017426779,0.020474004,0.5260901,0.00020026226],"about_ca_topic_score_codex":0.000079748104,"about_ca_topic_score_gemma":0.000006842316,"teacher_disagreement_score":0.51233065,"about_ca_system_score_codex":0.00015530833,"about_ca_system_score_gemma":0.00040130943,"threshold_uncertainty_score":0.29714903},"labels":[],"label_agreement":null},{"id":"W1967320432","doi":"10.3141/2133-04","title":"Intrametropolitan Location of Business Establishments","year":2009,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Multinomial logistic regression; Census; Point (geometry); Central business district; Economies of agglomeration; Population; Discrete choice; Consistency (knowledge bases); Estimation; Business; Marketing; Econometrics; Economics; Transport engineering; Microeconomics; Statistics; Computer science; Engineering","score_opus":0.08408619728789274,"score_gpt":0.33302270861803485,"score_spread":0.2489365113301421,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967320432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98743343,0.00037423722,0.0040804883,0.003775871,0.00062164775,0.0005181198,0.00005507865,0.000014892569,0.0031262047],"genre_scores_gemma":[0.99622583,0.0015517198,0.0016526323,0.000048893373,0.00016148515,0.000010682284,0.000014754861,0.000031346615,0.00030266304],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959705,0.00026702337,0.0020446398,0.00034956227,0.00069763866,0.0006706272],"domain_scores_gemma":[0.9945857,0.00035834353,0.00095414586,0.00048808064,0.0033756741,0.0002380526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052053463,0.00018523754,0.00058505003,0.0014324874,0.0003080671,0.00012480411,0.0009648113,0.0001771479,0.00028190506],"category_scores_gemma":[0.0004828473,0.00016944204,0.00024015404,0.0035414905,0.00042574032,0.0008717919,0.0000048046227,0.001094317,0.00003873246],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017974713,0.0010791252,0.8020482,0.0005881165,0.00022653738,0.000038511404,0.003922034,0.0042695147,0.0011585497,0.15240355,0.008060699,0.02440767],"study_design_scores_gemma":[0.0010606473,0.00041917153,0.9386131,0.00021783414,0.000014557734,2.930921e-7,0.00070604373,0.0002145181,0.0005139567,0.050707284,0.007367535,0.00016503064],"about_ca_topic_score_codex":0.0071870526,"about_ca_topic_score_gemma":0.005101651,"teacher_disagreement_score":0.13656491,"about_ca_system_score_codex":0.00036801046,"about_ca_system_score_gemma":0.00036966088,"threshold_uncertainty_score":0.99942416},"labels":[],"label_agreement":null},{"id":"W1968164432","doi":"10.1016/s0047-2727(00)00081-5","title":"Property tax limits, local fiscal behavior, and property values: evidence from Massachusetts under Proposition","year":2001,"lang":"en","type":"article","venue":"Journal of Public Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":171,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Economic Research Institute; University of British Columbia; Harvard University","keywords":"Property tax; California Proposition 13; Economics; Property value; Capitalization; Referendum; Revenue; Ad valorem tax; Proposition; Property (philosophy); Tax revenue; Public economics; Tax reform; Monetary economics; Demographic economics; Macroeconomics; Finance; Law; Political science; Real estate","score_opus":0.07724602955735825,"score_gpt":0.2397412711532568,"score_spread":0.16249524159589857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968164432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96461964,0.0013291497,0.014476323,0.009553895,0.0010945835,0.00033726494,0.000074315896,0.000032383698,0.008482423],"genre_scores_gemma":[0.9869194,0.0076940977,0.0027338504,0.00046440208,0.00065449043,0.000015511843,0.000014059398,0.0000616933,0.0014425127],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973337,0.00006986591,0.0015602271,0.000502332,0.000051863884,0.00048198734],"domain_scores_gemma":[0.99772817,0.00012792452,0.0012802645,0.00038561414,0.00011578151,0.0003622393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018991329,0.00029787893,0.0007596272,0.00036021444,0.00018864869,0.00057225255,0.00047513106,0.00026972697,0.00043668435],"category_scores_gemma":[0.0002133282,0.00022874106,0.00021846524,0.00013711998,0.00022202234,0.0024424149,0.0001128874,0.000469588,0.00014439542],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032909669,0.0007220918,0.8550882,0.00005766131,0.00037350907,0.000067433444,0.0007794696,0.0011414936,0.00008906215,0.005657911,0.0069747698,0.12871934],"study_design_scores_gemma":[0.0073009995,0.002207431,0.4385317,0.0005889683,0.00035091073,0.0017060443,0.0019051055,0.08640462,0.00033869882,0.093571424,0.36378935,0.0033047644],"about_ca_topic_score_codex":0.00032809668,"about_ca_topic_score_gemma":0.0002925815,"teacher_disagreement_score":0.41655648,"about_ca_system_score_codex":0.00064271194,"about_ca_system_score_gemma":0.00017637886,"threshold_uncertainty_score":0.932779},"labels":[],"label_agreement":null},{"id":"W1969538659","doi":"10.1007/s10690-005-4227-x","title":"Investor Familiarity and Home Bias: Japanese Evidence","year":2003,"lang":"en","type":"article","venue":"Asia-Pacific Financial Markets","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Japan Securities Scholarship Foundation","keywords":"Psychology","score_opus":0.044888435072102786,"score_gpt":0.21265342244098764,"score_spread":0.16776498736888484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969538659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77521616,0.0023399105,0.00009630972,0.00035970588,0.0013872606,0.0002779487,0.000048386824,0.00008360901,0.22019072],"genre_scores_gemma":[0.99414784,0.00240293,0.0008920164,0.00020135552,0.00015511588,0.000037487407,0.000006560359,0.00005021828,0.0021064652],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975664,0.00010052554,0.0008025554,0.000839491,0.000057449804,0.0006335733],"domain_scores_gemma":[0.99844956,0.0002973681,0.00035165122,0.0006147984,0.00004105869,0.00024556744],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019734197,0.00034830652,0.00066775293,0.0002879517,0.0002749031,0.00018819328,0.00027987603,0.00029583924,0.0003655123],"category_scores_gemma":[0.0021887133,0.00043116446,0.00014941406,0.00041938655,0.00023253473,0.00064709794,0.000088977984,0.00031401627,0.00058027025],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023483805,0.00021707868,0.82806045,0.00023037764,0.00004804965,0.000046189063,0.0020828166,0.000004503536,0.000052492676,0.13852632,0.020225234,0.010271663],"study_design_scores_gemma":[0.0012460182,0.00018414392,0.5733151,0.00016307963,0.000022517494,0.000073202005,0.00066737796,0.0006781198,0.0001097047,0.07431678,0.34769845,0.0015255008],"about_ca_topic_score_codex":0.00017883483,"about_ca_topic_score_gemma":0.000069475886,"teacher_disagreement_score":0.32747322,"about_ca_system_score_codex":0.00016968371,"about_ca_system_score_gemma":0.00010502182,"threshold_uncertainty_score":0.99981403},"labels":[],"label_agreement":null},{"id":"W1971054041","doi":"10.1068/a34129","title":"Social and Geographic Inequities in the Residential Property Tax: A Review and Case Study—A Commentary","year":2002,"lang":"en","type":"review","venue":"Environment and Planning A Economy and Space","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Property tax; Property (philosophy); Residential property; Point (geometry); Public economics; Quality (philosophy); Actuarial science; Location; Tax planning; Social impact assessment; Business; Regional science; Economics; Sociology; Environmental planning; Tax reform; Geography; Tax avoidance; Mathematics","score_opus":0.07700506066157606,"score_gpt":0.2589130129314919,"score_spread":0.18190795226991582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971054041","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011341913,0.9838942,0.000002338883,0.0011130378,0.000041389918,0.00103437,0.00005453992,0.000008420191,0.002509755],"genre_scores_gemma":[0.0069799167,0.9919272,0.000024242965,0.00050431053,0.00013618502,0.00013160054,0.000022256272,0.000027180147,0.00024711931],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982602,0.00012948494,0.0007106295,0.0005961367,0.000019969864,0.00028359878],"domain_scores_gemma":[0.9991644,0.00015465132,0.00040576607,0.00020054514,0.0000015153656,0.00007314131],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011974438,0.00038554327,0.0014425991,0.0002108607,0.00038409035,0.0002488118,0.00011408175,0.00016268373,0.000061708204],"category_scores_gemma":[0.000011696049,0.00030126338,0.00008595899,0.000059631926,0.00019952531,0.00020495302,0.00019444857,0.00039850123,0.000007411346],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004634166,0.0006270423,0.2632353,0.047198422,0.0013239672,0.002336707,0.037351377,0.0000044428693,6.5314945e-9,0.0017209395,0.029426428,0.616729],"study_design_scores_gemma":[0.0004322338,0.000099286124,0.0005628596,0.0010426429,0.0003003653,0.0005617937,0.0018525115,0.000045342444,1.5255485e-9,0.0002294815,0.9944162,0.0004573086],"about_ca_topic_score_codex":0.0007266285,"about_ca_topic_score_gemma":0.00010790437,"teacher_disagreement_score":0.9649897,"about_ca_system_score_codex":0.000039593426,"about_ca_system_score_gemma":0.0000060226325,"threshold_uncertainty_score":0.999944},"labels":[],"label_agreement":null},{"id":"W1971534717","doi":"10.1257/aer.100.5.1967","title":"The Political Economy of the US Mortgage Default Crisis","year":2010,"lang":"en","type":"article","venue":"American Economic Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":369,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Default; Foreclosure; Voting; Legislation; Ideology; Economics; Politics; Political economy; Financial crisis; Market economy; Political science; Finance; Law; Keynesian economics","score_opus":0.014047613640406083,"score_gpt":0.24073911899105904,"score_spread":0.22669150535065297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971534717","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13683657,0.0058208965,0.000052067415,0.036655214,0.0018563133,0.0007132783,0.000101635036,0.0000442428,0.8179198],"genre_scores_gemma":[0.9741301,0.015169967,0.00021467675,0.009882765,0.0002546872,0.0000701371,0.0000045789116,0.000053270152,0.00021985092],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976198,0.000047882837,0.0013105433,0.0004461088,0.000018804902,0.0005568497],"domain_scores_gemma":[0.99711263,0.00023430612,0.0011349693,0.0013372195,0.000022732118,0.00015815787],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011096986,0.00023542209,0.0008719885,0.00005695149,0.00023480563,0.000087057044,0.0009854968,0.00006082117,0.0003725442],"category_scores_gemma":[0.00018586376,0.00017928492,0.0004841886,0.00013885883,0.0007102015,0.00016949726,0.00018576012,0.00037093338,0.0008797291],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000070019637,0.00003652141,0.04245072,0.00017097016,0.00010961758,5.2812317e-7,0.00003133892,0.000008177264,0.00000433358,0.91734654,0.014074834,0.025759403],"study_design_scores_gemma":[0.00017601391,0.000032201526,0.009851947,0.00005663583,0.00003455365,0.000018588218,0.00008747811,0.0004812181,0.00004634122,0.061248217,0.9276223,0.00034449963],"about_ca_topic_score_codex":0.00084442337,"about_ca_topic_score_gemma":0.0005062848,"teacher_disagreement_score":0.91354746,"about_ca_system_score_codex":0.0001489997,"about_ca_system_score_gemma":0.00010292888,"threshold_uncertainty_score":0.9998982},"labels":[],"label_agreement":null},{"id":"W1971794754","doi":"10.1080/13658810802672469","title":"Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices","year":2010,"lang":"en","type":"article","venue":"International Journal of Geographical Information Systems","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1440,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Chinese University of Hong Kong","keywords":"Ordinary least squares; Geographically Weighted Regression; Weighting; Statistics; Sample (material); Regression analysis; Spatial variability; Econometrics; Goodness of fit; Geography; Regression; Spatial analysis; Cartography; Computer science; Mathematics","score_opus":0.01643088557462788,"score_gpt":0.23215629891365092,"score_spread":0.21572541333902304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971794754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9503983,0.00010083403,0.044890117,0.0008368896,0.002425886,0.00025365746,0.000043125532,0.000026611193,0.0010245714],"genre_scores_gemma":[0.99529064,0.0002480675,0.004011271,0.00009607927,0.00028771313,0.000014885998,0.00003317164,0.000013725395,0.0000044498115],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99779767,0.000016069867,0.0017564992,0.00013292806,0.00013174217,0.00016507982],"domain_scores_gemma":[0.9978262,0.000097158605,0.0014013288,0.000114206065,0.00045810605,0.00010296554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019256189,0.00013583008,0.00034930176,0.0013735543,0.00006586151,0.00041107493,0.0003005294,0.00020639501,0.000016152546],"category_scores_gemma":[0.00021006545,0.00013028743,0.00014311472,0.00020988124,0.000043555916,0.0019665489,0.000039955343,0.00031357477,0.000008018952],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007935272,0.00019651651,0.804366,0.000118514545,0.0002496365,0.000005587745,0.001843841,0.004905164,0.00007579168,0.18175426,0.00019668706,0.0054944833],"study_design_scores_gemma":[0.0039785146,0.0002139796,0.07713412,0.00021714524,0.0000156278,0.00012025819,0.00024279136,0.8353109,0.000007489244,0.030895816,0.051383294,0.00048006687],"about_ca_topic_score_codex":0.0003285159,"about_ca_topic_score_gemma":0.00009402108,"teacher_disagreement_score":0.8304057,"about_ca_system_score_codex":0.00004115231,"about_ca_system_score_gemma":0.00003907459,"threshold_uncertainty_score":0.53129673},"labels":[],"label_agreement":null},{"id":"W1972887835","doi":"10.1162/rest_a_00038","title":"School Quality and Residential Property Values: Evidence from Vancouver Rezoning","year":2010,"lang":"en","type":"article","venue":"The Review of Economics and Statistics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":124,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Capitalization; Residential property; Property value; Quality (philosophy); Control (management); Economics; Agricultural economics; Demographic economics; Business; Public economics; Finance; Real estate","score_opus":0.06183142241359459,"score_gpt":0.2828152444670379,"score_spread":0.22098382205344327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972887835","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83109534,0.1143253,0.00985804,0.0032874201,0.0036895156,0.0014928294,0.002280861,0.00004930391,0.03392139],"genre_scores_gemma":[0.16288969,0.80371773,0.031374443,0.0009987581,0.0003357103,0.000021170594,0.000025642847,0.000045475837,0.0005913895],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982477,0.00004651783,0.0011039315,0.0003827004,0.00001910143,0.00020003827],"domain_scores_gemma":[0.99804455,0.0005198669,0.000763173,0.00050835573,0.000046138273,0.000117897434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002293683,0.00017413269,0.0006844269,0.000046475645,0.00015604496,0.00010549342,0.00025203556,0.00007853984,0.00038431218],"category_scores_gemma":[0.0013418988,0.00013491546,0.00006571711,0.00004577066,0.00023633633,0.00024725482,0.00015452059,0.00026268204,0.000047890608],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002465073,0.00016714158,0.09597835,0.009712008,0.0005770592,0.0000050980666,0.0018138646,0.00010901462,0.00012482559,0.6337275,0.05037669,0.20716196],"study_design_scores_gemma":[0.0014663076,0.00020544794,0.07492262,0.004249572,0.00025502656,0.000015111075,0.0002450544,0.027233085,0.00008300632,0.7062172,0.18346196,0.0016456002],"about_ca_topic_score_codex":0.0014674555,"about_ca_topic_score_gemma":0.0009746777,"teacher_disagreement_score":0.68939245,"about_ca_system_score_codex":0.00003153551,"about_ca_system_score_gemma":0.00006161955,"threshold_uncertainty_score":0.5501693},"labels":[],"label_agreement":null},{"id":"W1973754801","doi":"10.2139/ssrn.984908","title":"Dynamic Residential Housing Cycles Analysis","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Housing First; Psychology","score_opus":0.009450182278153653,"score_gpt":0.2238911122203806,"score_spread":0.21444092994222697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973754801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8146093,0.0020300476,0.16070065,0.00027171118,0.0004624453,0.000054612483,0.000005462772,0.00004259291,0.021823194],"genre_scores_gemma":[0.9939644,0.0043034274,0.00053775415,0.0000658324,0.000233274,6.839965e-7,0.0000073001156,0.000036110563,0.0008512549],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965875,0.000016486594,0.0007920487,0.0003170938,0.00004674148,0.002240085],"domain_scores_gemma":[0.9990806,0.000046315177,0.0004888324,0.00024490166,0.000027715514,0.00011162839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052078366,0.00016805506,0.00042337662,0.0009095459,0.00031430146,0.00018187445,0.00030774396,0.00012037066,0.00016624681],"category_scores_gemma":[0.00006751852,0.00020382175,0.00037413626,0.0005886651,0.00004814478,0.00031844171,0.000043360065,0.0009878129,0.00023282312],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002179137,0.00016282087,0.3586407,0.000011079097,0.0035303524,0.000031803287,0.0004735288,0.0023275993,0.0000752038,0.5809462,0.000110687026,0.05347212],"study_design_scores_gemma":[0.0010205043,0.00013161032,0.07069132,0.000008833222,0.00025988912,0.00014642351,0.0011654607,0.007845631,0.00003012063,0.9132987,0.004695413,0.0007060804],"about_ca_topic_score_codex":0.0003167131,"about_ca_topic_score_gemma":0.011147023,"teacher_disagreement_score":0.33235252,"about_ca_system_score_codex":0.0015120923,"about_ca_system_score_gemma":0.00023928528,"threshold_uncertainty_score":0.83116096},"labels":[],"label_agreement":null},{"id":"W1974294538","doi":"10.1108/14630010210811741","title":"European versus US corporations: A comparison of property holdings","year":2001,"lang":"en","type":"article","venue":"Journal of Corporate Real Estate","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Balance sheet; Variety (cybernetics); Accounting; Benchmark (surveying); Property (philosophy); Business; Balance (ability); European market; Financial economics; Economics; Industrial organization; Actuarial science; Commerce; Statistics; Mathematics; Geography","score_opus":0.12913139954494846,"score_gpt":0.2669598914028771,"score_spread":0.13782849185792867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974294538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79381,0.00009755924,0.000560087,0.00017841623,0.00068582484,0.0000806772,0.00001612359,0.000013078007,0.20455825],"genre_scores_gemma":[0.9875091,0.010456,0.001399279,0.000021161104,0.00016353,8.3796675e-7,0.000007415154,0.000035482793,0.000407249],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979407,0.000049631562,0.0015585399,0.00017018507,0.00005816678,0.00022276802],"domain_scores_gemma":[0.9951565,0.000057594603,0.0042551043,0.00021129631,0.00018200312,0.00013745527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013019315,0.00015593943,0.0006423454,0.00029633884,0.00007443218,0.00008184242,0.0002705647,0.000055118657,0.00007747512],"category_scores_gemma":[0.00010754192,0.00013681968,0.00016598341,0.0002846291,0.000101010795,0.00045994975,0.00004179345,0.00022262747,0.00012292662],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035625326,0.0009272433,0.8230914,0.000121019766,0.00042162067,0.0003465178,0.0027242685,0.009376863,0.0006941491,0.014139864,0.0059443763,0.13865013],"study_design_scores_gemma":[0.020592486,0.0074013034,0.24601874,0.00048481955,0.0002798011,0.0005789732,0.0019258258,0.0528191,0.0012518374,0.0405508,0.6255426,0.0025537221],"about_ca_topic_score_codex":0.00019109927,"about_ca_topic_score_gemma":0.00006075512,"teacher_disagreement_score":0.6195982,"about_ca_system_score_codex":0.00011048542,"about_ca_system_score_gemma":0.00007846672,"threshold_uncertainty_score":0.55793446},"labels":[],"label_agreement":null},{"id":"W1974550463","doi":"10.1016/j.qref.2010.09.004","title":"The impact of land policy on the relation between housing and land prices: Evidence from China","year":2010,"lang":"en","type":"article","venue":"The Quarterly Review of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":129,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Program for New Century Excellent Talents in University; Ministry of Education of the People's Republic of China; Ministry of Land and Resources of the People's Republic of China; National Natural Science Foundation of China","keywords":"Beijing; Real estate; China; Granger causality; Economics; Land price; Agricultural economics; Natural resource economics; Geography; Finance; Econometrics","score_opus":0.030183670453792114,"score_gpt":0.25519145591325376,"score_spread":0.22500778545946165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974550463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9751742,0.019350711,0.000026353691,0.0026163938,0.000110594396,0.0003078209,0.00012280722,0.000004452526,0.0022866598],"genre_scores_gemma":[0.78986186,0.20982605,0.00006734357,0.00006228929,0.00014279797,0.000008252526,0.00000388775,0.000013685873,0.000013865114],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998743,0.00003394059,0.0007472906,0.00026337418,0.00001618522,0.00019620969],"domain_scores_gemma":[0.9975816,0.00077640294,0.0009978967,0.0005920592,0.000020115922,0.000031925272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016750484,0.00017320986,0.0005271569,0.000048437658,0.0002483277,0.00009671064,0.00034386673,0.00007488707,0.000012628862],"category_scores_gemma":[0.00013999057,0.00010197269,0.00013754857,0.0001014273,0.00025409897,0.00021090342,0.000042356656,0.00023856455,0.000011989508],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011661973,0.000055225624,0.5594101,0.00046075127,0.00025232462,3.5805053e-7,0.0022933835,0.00018723827,0.000021485728,0.2023109,0.00028583655,0.23460576],"study_design_scores_gemma":[0.00028188463,0.0003090363,0.9082052,0.0008216121,0.000025923291,0.0000027354517,0.00002148624,0.004616428,0.000009249898,0.07878985,0.006672809,0.0002437461],"about_ca_topic_score_codex":0.002346084,"about_ca_topic_score_gemma":0.00023545926,"teacher_disagreement_score":0.34879512,"about_ca_system_score_codex":0.000031084226,"about_ca_system_score_gemma":0.000054246855,"threshold_uncertainty_score":0.41583258},"labels":[],"label_agreement":null},{"id":"W1974672776","doi":"10.2495/sdp-v3-n4-367-376","title":"The tragedy of local service shortage in cities – a willingness to pay study","year":2008,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dilemma; Business; Service (business); Marketing; Affect (linguistics)","score_opus":0.027603913918763674,"score_gpt":0.23303308864070166,"score_spread":0.20542917472193797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974672776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948495,0.0002336134,0.0020488536,0.00031110813,0.00029807346,0.000091149835,0.0000014807206,0.0000024891683,0.002163738],"genre_scores_gemma":[0.99903727,0.00009070233,0.00035067255,0.000080253696,0.00006349442,0.000003918711,0.0000011860901,0.0000072618673,0.00036522344],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989432,0.000012114995,0.0007089525,0.00009812869,0.000068555244,0.00016905536],"domain_scores_gemma":[0.99930495,0.000103929546,0.00030198717,0.00004825411,0.00019551833,0.00004534202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011122227,0.00008070828,0.00022081,0.00029823705,0.00011859634,0.000059253136,0.00025191891,0.000028402359,0.00001107454],"category_scores_gemma":[0.00007354824,0.00006565485,0.000025402578,0.00013955605,0.000026523052,0.00021746258,0.000067442415,0.00012987063,0.0000021431101],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002986557,0.00010913686,0.92625904,0.000023786271,0.0001468646,0.0008815323,0.059146482,0.0047920276,0.0000013469225,0.0032435507,0.00015632693,0.0049412614],"study_design_scores_gemma":[0.0012929481,0.00012399007,0.7875666,0.000097832395,0.0000042403462,0.00009008042,0.17251725,0.00074030797,0.000085665124,0.002166896,0.03506968,0.00024451458],"about_ca_topic_score_codex":0.00012273627,"about_ca_topic_score_gemma":0.000050789902,"teacher_disagreement_score":0.13869244,"about_ca_system_score_codex":0.00013630436,"about_ca_system_score_gemma":0.00010599421,"threshold_uncertainty_score":0.2677327},"labels":[],"label_agreement":null},{"id":"W1976298089","doi":"10.1080/15568310903093362","title":"Does an Improved Urban Bus Service Affect House Values?","year":2010,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"Ministère des Transports","keywords":"Amenity; Service (business); Transport engineering; Bus network; Business; Public transport; Quality (philosophy); Service quality; Geography; Computer science; Marketing; Engineering; Finance; Control bus","score_opus":0.00879389101424333,"score_gpt":0.22215391504319223,"score_spread":0.2133600240289489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976298089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99169743,0.000028279357,0.0026622466,0.0010683094,0.0025542423,0.00012969974,0.00003552914,0.000038216793,0.0017860332],"genre_scores_gemma":[0.9970647,0.0000804485,0.0013968351,0.00023473767,0.0007165459,0.0000048819647,0.000030680683,0.000041198276,0.0004299821],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99868184,0.000011723524,0.0007895749,0.00020111351,0.00007768733,0.00023806326],"domain_scores_gemma":[0.99828315,0.00004277364,0.0007935737,0.00016105677,0.0005974665,0.00012197733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008764501,0.00013948887,0.00026587874,0.00039104072,0.000075614225,0.000185875,0.00046009725,0.00011471768,0.00029924727],"category_scores_gemma":[0.00008060342,0.00012409563,0.00013539955,0.00013174118,0.00003303568,0.001502759,0.000006866869,0.00030522756,0.000026356576],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022194816,0.0015667567,0.5945141,0.00032879913,0.0010386815,0.0008807799,0.022675257,0.004914724,0.006392635,0.35261616,0.0013637342,0.011488944],"study_design_scores_gemma":[0.008164059,0.0008227408,0.61218935,0.000082469924,0.00013581147,0.00010023292,0.009244848,0.013680777,0.0037501387,0.22715595,0.12313259,0.0015410447],"about_ca_topic_score_codex":0.00057305966,"about_ca_topic_score_gemma":0.0005477813,"teacher_disagreement_score":0.1254602,"about_ca_system_score_codex":0.00013277042,"about_ca_system_score_gemma":0.0000891045,"threshold_uncertainty_score":0.5060473},"labels":[],"label_agreement":null},{"id":"W1977353724","doi":"10.1080/00420980220135509","title":"Sharing the Risk of Home-ownership: A Portfolio Approach","year":2002,"lang":"en","type":"article","venue":"Urban Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Attractiveness; Risk aversion (psychology); Portfolio; Economics; Moral hazard; Hedge; Investment (military); Hazard; Risk–return spectrum; Investment portfolio; Herding; Microeconomics; Actuarial science; Business; Financial economics; Expected utility hypothesis; Incentive","score_opus":0.08529610174958852,"score_gpt":0.21752629014306854,"score_spread":0.13223018839348002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977353724","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46837077,0.03018965,0.0001720032,0.0002766571,0.0004894206,0.00018257013,0.00004439552,0.00005258906,0.5002219],"genre_scores_gemma":[0.9880305,0.0070499927,0.00029032608,0.000064468266,0.00016125463,0.000018858143,0.0000014825868,0.000020283862,0.0043628323],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989374,0.000011161465,0.0004842934,0.0002973725,0.00002308246,0.00024666009],"domain_scores_gemma":[0.9990731,0.00008738056,0.000382634,0.00040276806,0.000022856071,0.00003128743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006480875,0.00013616863,0.00043812886,0.00011914945,0.00018270641,0.000035351655,0.00027490273,0.00004866657,0.00016397804],"category_scores_gemma":[0.000156515,0.00010997648,0.00014678086,0.00018186547,0.00015451171,0.000105509935,0.00014659183,0.00013610373,0.00018058319],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010618574,0.00010976465,0.8883526,0.00006949243,0.0006135916,0.0000012750229,0.0072483397,0.00017962542,5.86619e-7,0.062249396,0.03814894,0.003015811],"study_design_scores_gemma":[0.003679832,0.00036305914,0.24480838,0.00012108262,0.00036289956,0.000025500585,0.014926008,0.079249896,0.000067530935,0.22166508,0.4320926,0.002638141],"about_ca_topic_score_codex":0.000059174698,"about_ca_topic_score_gemma":0.000011349166,"teacher_disagreement_score":0.6435442,"about_ca_system_score_codex":0.00005451347,"about_ca_system_score_gemma":0.0000021133887,"threshold_uncertainty_score":0.44847107},"labels":[],"label_agreement":null},{"id":"W1978549132","doi":"10.1016/j.jue.2007.02.003","title":"The price of residential land in large US cities","year":2007,"lang":"en","type":"article","venue":"Journal of Urban Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":309,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"AGE-WELL","keywords":"Metropolitan area; Land Values; Agricultural economics; Sample (material); Land value; Land price; Volatility (finance); Value (mathematics); Land use; Geography; Economics; Econometrics; Statistics","score_opus":0.014611467633303708,"score_gpt":0.20208628095455922,"score_spread":0.1874748133212555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978549132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96002036,0.0012442283,0.0006822908,0.00024417057,0.0012012626,0.000068360765,0.000023307435,0.0000034885484,0.036512554],"genre_scores_gemma":[0.9961668,0.0025355294,0.00039417125,0.00008461496,0.00041557074,5.556931e-7,0.0000011323631,0.000022106524,0.00037949238],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977653,0.000014209745,0.0017066114,0.00013589769,0.000021767197,0.0003561899],"domain_scores_gemma":[0.9978333,0.0002562587,0.0015636408,0.00022283343,0.000044597076,0.000079361875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003884566,0.00011912306,0.0004871384,0.00036052344,0.00008375382,0.00008410065,0.00037320406,0.00010370606,0.00006676954],"category_scores_gemma":[0.00017675341,0.00011705955,0.00018713095,0.00010647644,0.00007918167,0.000339636,0.000059091635,0.00024362063,0.000027025351],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026038388,0.00007666006,0.95029193,0.000018646304,0.00006439302,0.000009899208,0.0006094733,0.00038352047,0.0000053960407,0.045746423,0.0014548555,0.0010784073],"study_design_scores_gemma":[0.0035700463,0.0002681493,0.64624596,0.00005738532,0.000019244231,0.00007936742,0.0008471426,0.0022646347,0.00032455722,0.052151356,0.29368368,0.00048849947],"about_ca_topic_score_codex":0.00008363221,"about_ca_topic_score_gemma":0.00095451163,"teacher_disagreement_score":0.304046,"about_ca_system_score_codex":0.00022787492,"about_ca_system_score_gemma":0.00006835741,"threshold_uncertainty_score":0.477355},"labels":[],"label_agreement":null},{"id":"W1978973742","doi":"10.1002/bref.133","title":"Mortgage-backed securities in Canada: the size of the market and prospects for the future","year":2005,"lang":"en","type":"article","venue":"Briefings in Real Estate Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Debt; Commercial mortgage-backed security; Financial system; Security market; Financial market; Secondary mortgage market; Economics; Business; Finance; Mortgage insurance","score_opus":0.009274397748879821,"score_gpt":0.18219224910817997,"score_spread":0.17291785135930016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978973742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97033006,0.0012289324,0.00000960667,0.011335012,0.00028798694,0.00055229716,0.0001354243,0.0000058846704,0.016114807],"genre_scores_gemma":[0.9763526,0.022072064,0.00021560385,0.0007053543,0.00010231447,0.00007811198,0.0000011668646,0.000020697398,0.0004521019],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988538,0.000017232253,0.00052372523,0.0002577851,0.000032286447,0.00031515578],"domain_scores_gemma":[0.99887705,0.00044499122,0.0003260073,0.00031823138,0.000016809667,0.000016916094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006997881,0.000139383,0.00029648474,0.000029677487,0.00013961938,0.00004179769,0.00034110795,0.000054675034,0.000017531202],"category_scores_gemma":[0.00014542723,0.00009852401,0.000052849144,0.00018863149,0.00014839094,0.00011941688,0.000081257946,0.00020510786,7.5153025e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004544443,0.00013384392,0.66018355,0.00042020003,0.00006453028,0.000013846657,0.011123333,0.0043453416,0.0000072371026,0.122866645,0.036988176,0.16339885],"study_design_scores_gemma":[0.00063289853,0.000013528643,0.7448637,0.00004666637,0.0000032901232,0.000005707462,0.00033874004,0.010975999,0.00003045032,0.004990126,0.23792921,0.00016970206],"about_ca_topic_score_codex":0.44331986,"about_ca_topic_score_gemma":0.86935335,"teacher_disagreement_score":0.42603347,"about_ca_system_score_codex":0.00025381334,"about_ca_system_score_gemma":0.00021079206,"threshold_uncertainty_score":0.56038713},"labels":[],"label_agreement":null},{"id":"W1979307712","doi":"","title":"The Effect of Wealth on Consumption Expenditures: Cross Country and Cross Socio-Demographic Group Comparisons","year":2008,"lang":"en","type":"article","venue":"Ekonomia. Rynek, Gospodarka, Społeczeństwo","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Developed country; National wealth; Cross country; Demographic economics; Economics; Developing country; Wealth effect; Economic growth; Demography; Population; Finance","score_opus":0.019868814652136597,"score_gpt":0.2563383344276897,"score_spread":0.2364695197755531,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979307712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9827073,0.0026617004,0.00018594219,0.00016859216,0.0015390638,0.0006675029,0.00029280328,0.000106296844,0.0116708055],"genre_scores_gemma":[0.9927605,0.005952187,0.00015420301,0.00016565628,0.0003456509,0.00007359455,0.00007742463,0.00008884146,0.00038199124],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965523,0.00012634,0.0014337568,0.0009064539,0.0001046396,0.000876549],"domain_scores_gemma":[0.9966333,0.0010799018,0.0011038013,0.00088993384,0.00003350428,0.00025959374],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0023509262,0.0005399182,0.0011458698,0.00029372177,0.0015270665,0.0003063718,0.0006000622,0.00037735357,0.00012280094],"category_scores_gemma":[0.00015328269,0.0005077701,0.0003441524,0.00018768408,0.0014962855,0.00041870453,0.00016521872,0.00060514355,0.0002514274],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008535037,0.00009162669,0.9814027,0.000119556404,0.00013382378,0.000008744564,0.00042746754,0.00033614502,0.000007874739,0.011834171,0.003546455,0.0012379225],"study_design_scores_gemma":[0.0038990676,0.000627174,0.91330403,0.00005983064,0.00002612521,0.00004071674,0.00008561772,0.0019590638,0.0001241115,0.0010062866,0.078134626,0.00073332904],"about_ca_topic_score_codex":0.00044843426,"about_ca_topic_score_gemma":0.00022235603,"teacher_disagreement_score":0.07458817,"about_ca_system_score_codex":0.00028474236,"about_ca_system_score_gemma":0.000056383826,"threshold_uncertainty_score":0.9997728},"labels":[],"label_agreement":null},{"id":"W1981628810","doi":"10.3141/2245-16","title":"Analysis of House Prices to Assess Economic Impacts of New Public Transport Infrastructure","year":2011,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Ministerio de Ciencia e Innovación; Universidad Complutense de Madrid","keywords":"Capitalization; Real estate; Ordinary least squares; Spillover effect; Public transport; Property value; Econometrics; Transportation infrastructure; Transport infrastructure; Hedonic regression; Hedonic pricing; Lag; Business; Transport engineering; Economics; Computer science; Finance; Microeconomics; Engineering","score_opus":0.18493692083671592,"score_gpt":0.3524920132127778,"score_spread":0.16755509237606186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981628810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930651,0.00013586247,0.0032562588,0.0006508103,0.00042279073,0.00057210046,0.00030443908,0.000017891864,0.0015746984],"genre_scores_gemma":[0.9946235,0.0012164273,0.0038054253,0.000026160536,0.000090553054,0.000014070202,0.00001784213,0.00006628372,0.00013978254],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9949654,0.00020879487,0.002918388,0.00047703498,0.00063313416,0.00079727086],"domain_scores_gemma":[0.9956391,0.00038571414,0.0015602278,0.0006889791,0.0011043928,0.0006215921],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005345705,0.00026238264,0.001195939,0.003988996,0.00019541956,0.00006540954,0.0014929675,0.00023934114,0.0016517604],"category_scores_gemma":[0.00017138873,0.00024014598,0.0008461325,0.0033542616,0.00038229168,0.0009060172,0.0000103626135,0.0010144139,0.000029517678],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009156156,0.00018888597,0.9714615,0.00015909364,0.0011183898,0.000011489029,0.00774601,0.0026817785,0.00028800376,0.0122626545,0.0009848294,0.0021818047],"study_design_scores_gemma":[0.0008666942,0.00046064722,0.9855936,0.00008119107,0.00015652548,1.9123927e-7,0.0009863065,0.00020582674,0.00087736885,0.005966879,0.004593307,0.0002114317],"about_ca_topic_score_codex":0.027666723,"about_ca_topic_score_gemma":0.072809294,"teacher_disagreement_score":0.045142572,"about_ca_system_score_codex":0.00031687238,"about_ca_system_score_gemma":0.00085509074,"threshold_uncertainty_score":0.99926084},"labels":[],"label_agreement":null},{"id":"W1982131835","doi":"10.2139/ssrn.512022","title":"Insider Ownership and Firm Value: Evidences from Real Estate Investment Trusts","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Insider; Real estate investment trust; Accounting; Real estate; Value (mathematics); Finance; Investment (military); Law","score_opus":0.024837853967498966,"score_gpt":0.21966291937033253,"score_spread":0.19482506540283356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982131835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96423215,0.0026603483,0.00042756484,0.0017049144,0.00036707715,0.000090440684,0.000010252417,0.000027810247,0.03047947],"genre_scores_gemma":[0.91603124,0.08254264,0.0005250812,0.00032180126,0.00029423807,0.000004030164,0.000005295965,0.000029095041,0.00024655834],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99767727,0.000026398433,0.0005569533,0.00035023203,0.000043822514,0.001345349],"domain_scores_gemma":[0.99922824,0.000059143702,0.00035912148,0.00018655074,0.000016107833,0.0001508551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015354607,0.00019049029,0.00034498156,0.00016617046,0.00021930134,0.00019389228,0.00021105776,0.00010757176,0.00006283486],"category_scores_gemma":[0.000086787266,0.00019561163,0.000099276156,0.00010797015,0.000081831415,0.0004693291,0.000047432215,0.0008164829,0.00011068293],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000113379705,0.00010915096,0.102692045,0.000013042938,0.00036142545,0.000017523931,0.0024882378,0.001106654,0.000021857482,0.85245013,0.00011020955,0.040516317],"study_design_scores_gemma":[0.0010908969,0.0001916003,0.011358953,0.00002472386,0.000017327753,0.00007978952,0.000771993,0.00042817887,0.000019544856,0.9816828,0.0040332554,0.00030093556],"about_ca_topic_score_codex":0.003294739,"about_ca_topic_score_gemma":0.0032727467,"teacher_disagreement_score":0.12923265,"about_ca_system_score_codex":0.0012404184,"about_ca_system_score_gemma":0.0005739208,"threshold_uncertainty_score":0.7976811},"labels":[],"label_agreement":null},{"id":"W1982902812","doi":"10.1111/j.1467-940x.2005.00099.x","title":"HOUSING POLICY ISSUES IN A RICH COUNTRY WITH HIGH POPULATION GROWTH: THE CASE OF RIYADH, SAUDI ARABIA","year":2005,"lang":"en","type":"article","venue":"Review of Urban and Regional Development Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Allowance (engineering); Renting; Stock (firearms); Rental housing; Middle class; Economic growth; Investment (military); Population; Context (archaeology); Subdivision; Business; Demographic economics; Economics; Geography; Political science; Operations management; Sociology; Politics; Market economy; Demography","score_opus":0.035753835307516135,"score_gpt":0.260358586163674,"score_spread":0.2246047508561579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982902812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66907257,0.32036757,0.000013026598,0.007749047,0.00006206128,0.00030622835,0.000012388923,0.000009410035,0.0024076859],"genre_scores_gemma":[0.7018282,0.29612052,0.001507933,0.00036798304,0.00006930763,0.000011134502,0.000008018051,0.000008804196,0.00007813102],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989745,0.00001812899,0.0006565077,0.00018210185,0.000031502903,0.00013724322],"domain_scores_gemma":[0.9993388,0.00007124131,0.00041014256,0.00010631173,0.000052368756,0.000021153048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000567091,0.00012772674,0.0005585008,0.00014304936,0.000103893624,0.000008683881,0.00006654686,0.000031043655,0.0000062258073],"category_scores_gemma":[0.000084695064,0.00009230362,0.000032124146,0.00024808504,0.0001201354,0.00010199233,0.000047522837,0.00005872707,0.0000035179983],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009800867,0.00031917985,0.65310407,0.015131297,0.0007638317,0.000041106898,0.009614042,0.00014778135,8.2972184e-7,0.2692932,0.012006541,0.039480105],"study_design_scores_gemma":[0.0025368913,0.00020502045,0.554364,0.020907665,0.00012305274,0.0002657917,0.0017620967,0.0004353316,0.000032979275,0.020090861,0.39784077,0.0014355124],"about_ca_topic_score_codex":0.0006734296,"about_ca_topic_score_gemma":0.00059272564,"teacher_disagreement_score":0.38583422,"about_ca_system_score_codex":0.000117627904,"about_ca_system_score_gemma":0.00003758143,"threshold_uncertainty_score":0.37640324},"labels":[],"label_agreement":null},{"id":"W1983592122","doi":"10.1257/aer.104.4.1172","title":"Search, Liquidity, and the Dynamics of House Prices and Construction","year":2014,"lang":"en","type":"article","venue":"American Economic Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":248,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Economics; Database transaction; Market liquidity; Dynamics (music); House price; Microeconomics; Population; Transaction data; Econometrics; Variation (astronomy); Financial economics; Monetary economics; Computer science; Database","score_opus":0.015123596857166747,"score_gpt":0.2231509823497903,"score_spread":0.20802738549262356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983592122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9070849,0.02164617,0.0023004017,0.0065513654,0.0003395981,0.0006455531,0.00005249454,0.000058130325,0.061321404],"genre_scores_gemma":[0.66804665,0.3301174,0.0011207255,0.00058006984,0.00006068404,0.000013422604,0.000003758236,0.000025858573,0.00003141936],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987899,0.0000553102,0.0006598575,0.0003054915,0.0000122987585,0.00017715746],"domain_scores_gemma":[0.998692,0.00023297536,0.0006645013,0.0003318935,0.000010698728,0.00006796605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015589992,0.00013628927,0.0008270069,0.00007357436,0.00007450105,0.000047727677,0.00016588374,0.000029178856,0.000051372506],"category_scores_gemma":[0.00010322917,0.00012223171,0.000087737586,0.000068016896,0.001167334,0.00015081943,0.00010857089,0.00009690734,0.0000686976],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036087462,0.000013567837,0.041448023,0.000648327,0.00008096495,1.3982933e-7,0.00014857296,0.00002887195,3.4204297e-7,0.57394433,0.00029231154,0.38335845],"study_design_scores_gemma":[0.007787026,0.0010583891,0.060392145,0.001807331,0.00040394906,0.00031599062,0.0012428324,0.29649743,0.000047031263,0.13880843,0.48868775,0.0029516832],"about_ca_topic_score_codex":0.0007836668,"about_ca_topic_score_gemma":0.00011289931,"teacher_disagreement_score":0.48839545,"about_ca_system_score_codex":0.00006658087,"about_ca_system_score_gemma":0.000017301021,"threshold_uncertainty_score":0.49844646},"labels":[],"label_agreement":null},{"id":"W1984248873","doi":"10.4236/am.2014.519278","title":"Duration Dependence in Housing Price Market: A Metro Level Test in United States","year":2014,"lang":"en","type":"article","venue":"Applied Mathematics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; University of Calgary","funders":"","keywords":"Spell; Predictability; Contraction (grammar); Duration (music); Economics; Econometrics; Monotone polygon; Mathematics; Statistics; Medicine; Physics; Geometry","score_opus":0.03353991575462904,"score_gpt":0.2130570446395379,"score_spread":0.17951712888490884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984248873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7697977,0.000030371437,0.06021838,0.00016570215,0.000101947226,0.00037895585,0.00002251236,0.00006247222,0.169222],"genre_scores_gemma":[0.96799767,0.0001301024,0.03144189,0.00017379838,0.000034797595,0.000036933547,0.00002405554,0.000042918306,0.000117803385],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983733,0.0000098484725,0.0009048721,0.00032247076,0.00003865668,0.00035084938],"domain_scores_gemma":[0.99868786,0.0005297865,0.0003934237,0.00032064476,0.000014887304,0.00005336629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016485645,0.00018158216,0.00042833577,0.0005846419,0.000053510088,0.00010032274,0.00021409258,0.00011974523,0.00011813858],"category_scores_gemma":[0.0004282736,0.00022358217,0.000036260106,0.00056362286,0.000034830202,0.0001537842,0.000064794665,0.00018189041,0.00020454443],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010806856,0.0021347997,0.20571636,0.0014049339,0.00007061112,0.00001667313,0.010908663,0.009214784,0.00054192514,0.75526685,0.00096886203,0.013647488],"study_design_scores_gemma":[0.0016174742,0.00004885534,0.020156046,0.0001295206,0.00000816961,0.0000036989848,0.0010744225,0.6242918,0.00035145355,0.34630853,0.005227993,0.0007820645],"about_ca_topic_score_codex":0.00017028647,"about_ca_topic_score_gemma":0.0007555018,"teacher_disagreement_score":0.615077,"about_ca_system_score_codex":0.0002096832,"about_ca_system_score_gemma":0.000015450703,"threshold_uncertainty_score":0.9117416},"labels":[],"label_agreement":null},{"id":"W1984325031","doi":"10.2139/ssrn.1834805","title":"The Contagion Effect of Neighboring Foreclosures","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Monetary economics; Emotional contagion; Business; Economics; Neuroscience; Psychology","score_opus":0.015370894581243456,"score_gpt":0.19501183996024424,"score_spread":0.17964094537900077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984325031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8673391,0.0039732447,0.002147139,0.00008652351,0.0006419643,0.00010548521,0.0000022445536,0.000014627352,0.12568967],"genre_scores_gemma":[0.9921325,0.007116299,0.00002724095,0.000011240652,0.0001393841,0.00000366012,5.2927675e-7,0.000019779463,0.00054938416],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998276,0.00002995912,0.00047009398,0.00013059976,0.000022269161,0.0010711018],"domain_scores_gemma":[0.9992559,0.00009833162,0.00041164499,0.00017510798,0.000017339411,0.00004169258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036016402,0.000108883796,0.00026023935,0.00008460342,0.00021801917,0.000036806836,0.00028361977,0.000058632504,0.000039769107],"category_scores_gemma":[0.00009113953,0.00008531792,0.00016331978,0.000073641364,0.000055797984,0.00015445855,0.000027943948,0.0005776573,0.000055541364],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019277836,0.000017338874,0.15760173,0.0000067676356,0.00014686196,6.9598195e-7,0.00021022889,0.000005156429,0.000010947757,0.8086711,0.000050880426,0.033085477],"study_design_scores_gemma":[0.0011150406,0.0009876868,0.008992039,0.000014542974,0.000021453641,0.00008927976,0.0002502988,0.00033790577,0.0006940629,0.9776956,0.009569363,0.0002327225],"about_ca_topic_score_codex":0.00016149276,"about_ca_topic_score_gemma":0.00044080493,"teacher_disagreement_score":0.16902447,"about_ca_system_score_codex":0.0002977483,"about_ca_system_score_gemma":0.00011257754,"threshold_uncertainty_score":0.3479164},"labels":[],"label_agreement":null},{"id":"W1985392933","doi":"10.1016/j.ecolecon.2004.06.025","title":"Remote tourism and forest management: a spatial hedonic analysis","year":2005,"lang":"en","type":"article","venue":"Ecological Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of Alberta; Ministry of Natural Resources and Forestry; Natural Resources Canada","funders":"Ministry of Natural Resources","keywords":"Tourism; Forest management; Environmental resource management; Geography; Business; Forestry; Economics; Archaeology","score_opus":0.015771199202001974,"score_gpt":0.19495715134658836,"score_spread":0.17918595214458638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985392933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81982964,0.0001818086,0.0039970465,0.0012807985,0.00024298321,0.00020454192,0.0000373035,0.00007393177,0.17415193],"genre_scores_gemma":[0.9879583,0.0025689376,0.0070135156,0.00076048035,0.00032155978,0.000012095131,0.000030474437,0.00002797389,0.001306673],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99789536,0.000016209813,0.0008394951,0.00072769367,0.000013576791,0.0005076679],"domain_scores_gemma":[0.99894685,0.000087349115,0.0003518313,0.00041396118,0.000009828546,0.0001901921],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00064008,0.00024863804,0.0007150787,0.00039826325,0.00018012874,0.00018522993,0.00029130353,0.00022708463,0.0015254205],"category_scores_gemma":[0.000040833034,0.00029444357,0.00026803528,0.00020149458,0.00011165583,0.00027384332,0.00022890182,0.00018472198,0.0009773306],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001516622,0.00045772013,0.36811304,0.000056174616,0.0021317105,0.00004016089,0.00029641268,0.050164685,7.1806204e-7,0.3743785,0.0015360109,0.20267318],"study_design_scores_gemma":[0.0012350108,0.000115819596,0.33654442,0.0000035853398,0.00015090863,0.000009162402,0.000049006394,0.4017385,0.0000031998477,0.08252372,0.17689353,0.00073312974],"about_ca_topic_score_codex":0.00013668776,"about_ca_topic_score_gemma":0.0020780885,"teacher_disagreement_score":0.35157382,"about_ca_system_score_codex":0.00027003573,"about_ca_system_score_gemma":0.000009864934,"threshold_uncertainty_score":0.99995077},"labels":[],"label_agreement":null},{"id":"W1985474545","doi":"10.1080/00036840701748995","title":"Econometric issues in hedonic price indices: the case of internet service providers","year":2008,"lang":"en","type":"article","venue":"Applied Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"North Pacific Marine Science Organization; Statistics Canada; Lakehead University","funders":"","keywords":"Econometrics; Economics; Index (typography); Multiplicative function; Price index; Hedonic index; Regression analysis; Regression; The Internet; Unit (ring theory); Service (business); Hedonic regression; Quality (philosophy); Function (biology); Econometric model; Statistics; Mathematics; Computer science; Economy","score_opus":0.029379300185463815,"score_gpt":0.2054436011149073,"score_spread":0.1760643009294435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985474545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8930381,0.0005371374,0.000075970056,0.0007279886,0.00029050861,0.0004773338,0.000046170375,0.00003414344,0.10477263],"genre_scores_gemma":[0.99609345,0.0020853553,0.0005480689,0.00071595993,0.00011568024,0.00008047207,0.000018577857,0.00006127126,0.00028118666],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99738514,0.000017388305,0.001422524,0.0006446648,0.00001414339,0.00051611726],"domain_scores_gemma":[0.99805295,0.00023074729,0.0008819814,0.0007097689,0.00002058457,0.00010395923],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009794172,0.00029925565,0.0007860053,0.0006746509,0.00012670213,0.000080371516,0.0006397905,0.00020080383,0.0003642242],"category_scores_gemma":[0.00005157857,0.00032796414,0.00013549159,0.00062314485,0.00019473446,0.00040354853,0.00020613024,0.00030091178,0.0007126799],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036069276,0.0008180607,0.19392852,0.0005593408,0.0005622919,0.00018175074,0.02401816,0.026774246,0.000009255153,0.7348933,0.0040745432,0.013819804],"study_design_scores_gemma":[0.016472232,0.00067414006,0.11451283,0.00015226108,0.00011671318,0.0037067055,0.015588365,0.16425544,0.0018071479,0.28885916,0.38647854,0.007376473],"about_ca_topic_score_codex":0.0040457,"about_ca_topic_score_gemma":0.0027404462,"teacher_disagreement_score":0.4460342,"about_ca_system_score_codex":0.000336272,"about_ca_system_score_gemma":0.00008059122,"threshold_uncertainty_score":0.99991727},"labels":[],"label_agreement":null},{"id":"W1985596952","doi":"10.1111/j.1080-8620.2004.00093.x","title":"Transaction‐Based Office Price Indexes: A Spatiotemporal Modeling Approach","year":2004,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Econometrics; Autoregressive model; Transaction data; Database transaction; Heteroscedasticity; Transaction cost; Economics; Order (exchange); Bayesian probability; Computer science; Microeconomics; Finance; Database","score_opus":0.03711799851282654,"score_gpt":0.2075688590454167,"score_spread":0.17045086053259015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985596952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61638075,0.000021922855,0.14321756,0.00027220824,0.0004126321,0.00027808946,0.00011098816,0.0001444834,0.23916137],"genre_scores_gemma":[0.98162234,0.0028565885,0.014784368,0.00018191301,0.0001759578,0.000034673092,0.00013128089,0.00009988689,0.000112994276],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99757123,0.000014304968,0.0010672203,0.00074747694,0.00002519752,0.00057454925],"domain_scores_gemma":[0.9987521,0.000034815854,0.00045194096,0.0005121495,0.000030579526,0.00021837855],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000668044,0.00033264657,0.00061869813,0.00035210996,0.00020816048,0.00020022955,0.00033862202,0.00023684365,0.00009203054],"category_scores_gemma":[0.000023429891,0.00045491353,0.00023599567,0.00019301406,0.00009005682,0.0006518415,0.000031531385,0.0002911294,0.00048692533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001245463,0.00022300806,0.001448915,0.000066597975,0.000057834954,0.0000027308165,0.000754926,0.96733963,0.000004165556,0.023946917,0.000016531243,0.006014221],"study_design_scores_gemma":[0.0026036515,0.00009645891,0.00054852356,0.000018262333,0.000016456868,0.000012629116,0.00021479305,0.9682087,0.00007823366,0.019363232,0.007913402,0.0009257072],"about_ca_topic_score_codex":0.0033966834,"about_ca_topic_score_gemma":0.00031969164,"teacher_disagreement_score":0.3652416,"about_ca_system_score_codex":0.00080271106,"about_ca_system_score_gemma":0.00021303835,"threshold_uncertainty_score":0.99979025},"labels":[],"label_agreement":null},{"id":"W1986003248","doi":"10.3905/joi.2002.319513","title":"Predicting Municipal Bond Fund Returns","year":2002,"lang":"en","type":"article","venue":"The Journal of Investing","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Expense ratio; Bond; Economics; Closed-end fund; Income fund; Open-end fund; Investment (military); Passive management; Econometrics; Monetary economics; Fund of funds; Business; Institutional investor; Finance","score_opus":0.11445211911935176,"score_gpt":0.2302597231701292,"score_spread":0.11580760405077743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986003248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8339551,0.0011917839,0.000108131906,0.0008449629,0.00045339242,0.000034942663,0.0000031111304,0.000012280774,0.16339631],"genre_scores_gemma":[0.996967,0.00045105402,0.0012170668,0.0003293693,0.0005522693,3.4688526e-7,2.2778018e-7,0.000021359083,0.0004613187],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987537,0.000028940529,0.0008491711,0.00008743187,0.000034008004,0.00024673826],"domain_scores_gemma":[0.99836415,0.00024729045,0.0010603374,0.00020645771,0.000032467873,0.00008929236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023668653,0.0001004844,0.00027926743,0.00013217844,0.00020096853,0.00007468477,0.00035031862,0.000055612618,0.00021585079],"category_scores_gemma":[0.00067492697,0.0000861538,0.000095567746,0.00014277671,0.00007537272,0.00037483007,0.00006386297,0.00037413166,0.00009942133],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012182622,0.00023383676,0.86853707,0.00014023838,0.00045395942,0.00006919748,0.05151886,0.007769705,0.00053164,0.03939339,0.019827684,0.01140262],"study_design_scores_gemma":[0.0049389917,0.0011493762,0.03632601,0.0008451671,0.00023426246,0.0028255577,0.0101168,0.62646174,0.0005564133,0.16019204,0.15441917,0.0019344641],"about_ca_topic_score_codex":0.000094220624,"about_ca_topic_score_gemma":0.00003619458,"teacher_disagreement_score":0.832211,"about_ca_system_score_codex":0.00007231465,"about_ca_system_score_gemma":0.000008265577,"threshold_uncertainty_score":0.351325},"labels":[],"label_agreement":null},{"id":"W1986242544","doi":"10.5539/jsd.v4n3p199","title":"The Impact of Jacuzzi Bathtubs on House Prices","year":2011,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"House price; Value (mathematics); Hedonic pricing; Sample (material); Agricultural economics; Economics; Business; Econometrics; Statistics; Mathematics","score_opus":0.030823794967211174,"score_gpt":0.21874226894128676,"score_spread":0.18791847397407557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986242544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9373647,0.0003886043,0.00022295822,0.000068596564,0.00022127043,0.00011020862,0.0000013399156,0.00000820013,0.0616141],"genre_scores_gemma":[0.9969421,0.0005851415,0.0013404896,0.000021814436,0.000056058478,0.0000032250534,2.5582884e-7,0.000025481237,0.0010254375],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984593,0.000011773728,0.0009993766,0.000118806885,0.000047792797,0.00036294933],"domain_scores_gemma":[0.99828285,0.000078179866,0.001187662,0.00018804564,0.0001662652,0.00009698585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014870875,0.00013484855,0.00036621586,0.0003042752,0.00017507155,0.00006354103,0.00036223876,0.00006041919,0.00014758487],"category_scores_gemma":[0.00017293946,0.00009815125,0.00018513383,0.00017506155,0.00005006465,0.00026476974,0.000062855506,0.00016076743,0.00005378119],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032765162,0.0023580212,0.47337484,0.00036779922,0.0028957766,0.00062908966,0.057911433,0.0020843449,0.000043769538,0.3808251,0.02725176,0.048981555],"study_design_scores_gemma":[0.0019100952,0.0013278266,0.7983882,0.00008340567,0.000019330659,0.00006270388,0.009050033,0.00021628424,0.0013000369,0.05559868,0.1314,0.0006434309],"about_ca_topic_score_codex":0.000092785805,"about_ca_topic_score_gemma":0.0000034697734,"teacher_disagreement_score":0.32522643,"about_ca_system_score_codex":0.0005479588,"about_ca_system_score_gemma":0.0003081086,"threshold_uncertainty_score":0.40024915},"labels":[],"label_agreement":null},{"id":"W1986705000","doi":"10.5942/jawwa.2013.105.0071","title":"Homeowners' decision‐making in a premise plumbing failure–prone area","year":2013,"lang":"en","type":"article","venue":"American Water Works Association","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Premise; Business; Risk analysis (engineering); Preference; Process (computing); Computer science; Economics; Microeconomics","score_opus":0.008649029589151458,"score_gpt":0.19140216636366417,"score_spread":0.18275313677451271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986705000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97906274,0.000046940295,0.0029997623,0.0011604516,0.00026811648,0.00025782952,0.000005271879,0.00006020196,0.016138662],"genre_scores_gemma":[0.9963876,0.00011759946,0.0025302188,0.00033280454,0.000100370846,0.00006806807,0.000017774151,0.00003594696,0.0004096284],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998287,0.000027033435,0.00066264224,0.00041100584,0.000050638027,0.0005616861],"domain_scores_gemma":[0.9989784,0.00016623587,0.0005089197,0.00024776525,0.00003425193,0.000064421074],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007861942,0.0001661266,0.00046868031,0.00031101785,0.00009684683,0.00034193884,0.00019097312,0.00012277074,0.00065048196],"category_scores_gemma":[0.00021748956,0.00017337225,0.00009816328,0.00033649695,0.000033891647,0.0006292639,0.000079207035,0.00023306723,0.0011154287],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018329269,0.000072069124,0.9064095,0.0000062852755,0.00005001034,0.0000017564548,0.0021680126,0.0012722997,0.000038575286,0.00019276807,0.0029193934,0.08685101],"study_design_scores_gemma":[0.0028761486,0.00015480495,0.82179844,0.0004134313,0.000027680213,0.000004048992,0.0023305495,0.073789574,0.0001245318,0.074035645,0.022350337,0.0020948162],"about_ca_topic_score_codex":0.0013675607,"about_ca_topic_score_gemma":0.0004939141,"teacher_disagreement_score":0.084756196,"about_ca_system_score_codex":0.0010138449,"about_ca_system_score_gemma":0.000010805095,"threshold_uncertainty_score":0.99966234},"labels":[],"label_agreement":null},{"id":"W1988540479","doi":"10.1068/a3757","title":"The Life Stages and Housing Decisions of Young Households: An Insider Perspective","year":2005,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Endogeneity; Microdata (statistics); Economics; Housing tenure; Consumption (sociology); Permanent income hypothesis; Insider; Consumption function; Demographic economics; Labour economics; Microeconomics; Census; Life-cycle hypothesis; Econometrics; Production (economics); Sociology; Population","score_opus":0.030152511226515803,"score_gpt":0.21357928832679557,"score_spread":0.18342677710027977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988540479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97435284,0.009010225,0.0005303243,0.0011581108,0.00006134138,0.00011092527,0.000020152194,0.000015132516,0.014740964],"genre_scores_gemma":[0.99156415,0.0068902625,0.0010820519,0.00011897734,0.000113923095,0.0000055478936,0.000002464746,0.000018190443,0.00020442744],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999103,0.000018049232,0.00031368717,0.0003412276,0.000014465642,0.00020956859],"domain_scores_gemma":[0.9992704,0.00020170516,0.00020310536,0.00018745108,0.000004248025,0.00013308947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005000099,0.00014857682,0.0002748274,0.00006935461,0.0003684861,0.0001589542,0.000071320814,0.0000773635,0.00002912178],"category_scores_gemma":[0.000058753387,0.00014417974,0.000030396735,0.00002449543,0.00019598253,0.0003618117,0.000079963014,0.00012235859,0.000008604975],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000090568254,0.00006776638,0.9090896,0.0000140272505,0.0001329633,0.000003257775,0.012231964,0.0019188442,0.000011485624,0.0656654,0.00045381417,0.01032026],"study_design_scores_gemma":[0.0031471774,0.0004894373,0.546507,0.00010746491,0.00008980693,0.000045390432,0.031128494,0.034051683,0.00010756767,0.04540418,0.33731133,0.0016104477],"about_ca_topic_score_codex":0.00011696788,"about_ca_topic_score_gemma":0.000052672865,"teacher_disagreement_score":0.36258262,"about_ca_system_score_codex":0.00004109989,"about_ca_system_score_gemma":0.00000905931,"threshold_uncertainty_score":0.58794785},"labels":[],"label_agreement":null},{"id":"W1988597884","doi":"10.2478/remav-2013-0006","title":"Primary and Secondary Residential Real Estate Markets in Poland – Analogies in Offer and Transaction Price Development","year":2013,"lang":"en","type":"article","venue":"Real Estate Management and Valuation","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Database transaction; Quarter (Canadian coin); Secondary market; Real estate investment trust; Business; Residential real estate; Economics; Convergence (economics); Price index; Financial economics; Monetary economics; Finance; Econometrics; Database; Macroeconomics; Geography; Computer science","score_opus":0.024631493790874533,"score_gpt":0.21470035409092028,"score_spread":0.19006886030004574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988597884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8604523,0.00006435777,0.00030465686,0.00013890074,0.000063298416,0.0004068162,0.0000034541438,0.000016133728,0.13855007],"genre_scores_gemma":[0.9472253,0.05115225,0.0010276882,0.00002981903,0.000014597264,0.000041991745,0.000046681806,0.000015218369,0.0004464981],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99883723,0.000038594575,0.0004920201,0.00036387143,0.00003973431,0.00022853051],"domain_scores_gemma":[0.99966735,0.000034253215,0.00014487802,0.000092325055,0.000011026244,0.000050177903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010126604,0.00014126414,0.00024244432,0.0004341521,0.00007552562,0.00016207925,0.000045212055,0.0000630454,0.0000466114],"category_scores_gemma":[0.000006871163,0.00016633881,0.000014725949,0.00012051827,0.000038498212,0.0005858141,0.000054810447,0.00009136489,0.000014559054],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011502913,0.000046762234,0.21262257,0.0003246921,0.000037946345,0.0000074863087,0.0029053593,0.00006776217,0.000019341825,0.0008631179,0.000059098977,0.78293085],"study_design_scores_gemma":[0.001183128,0.00002800267,0.985201,0.000027042468,0.0000068048694,0.0000016542297,0.00032779883,0.008624205,0.0000049652544,0.0034136402,0.0009869108,0.00019481915],"about_ca_topic_score_codex":0.0029242332,"about_ca_topic_score_gemma":0.0016526992,"teacher_disagreement_score":0.782736,"about_ca_system_score_codex":0.00013712558,"about_ca_system_score_gemma":0.000016417373,"threshold_uncertainty_score":0.67831},"labels":[],"label_agreement":null},{"id":"W1989168730","doi":"10.1509/jppm.11.116","title":"Minimum Payment Warnings and Information Disclosure Effects on Consumer Debt Repayment Decisions","year":2013,"lang":"en","type":"article","venue":"Journal of Public Policy & Marketing","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Payment; Debt; Loan; Business; Credit card; Actuarial science; Finance","score_opus":0.01777752947244284,"score_gpt":0.22817664856307723,"score_spread":0.21039911909063438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989168730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9527202,0.00031301953,0.00021523963,0.010343893,0.0004203414,0.00020051256,0.000009124237,0.000016439584,0.035761215],"genre_scores_gemma":[0.9962483,0.0014174742,0.0006175152,0.0012070795,0.00035189206,0.000011633631,0.0000038047885,0.000019394567,0.00012293016],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9980058,0.00010330861,0.0012206603,0.00016868177,0.00008501695,0.00041653967],"domain_scores_gemma":[0.9969876,0.0009729912,0.0013904966,0.0002177211,0.00013234228,0.00029886301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038726924,0.0001851927,0.00044365844,0.00082347443,0.0001842862,0.0005512608,0.00021167989,0.00010786001,0.00018961346],"category_scores_gemma":[0.0072008898,0.00017241343,0.00015093862,0.00021794114,0.00005280926,0.0020414547,0.00010723833,0.00028153116,0.00016408131],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015197598,0.00017543073,0.257595,0.00015347426,0.00031875368,0.000008016962,0.001767652,0.000026606016,0.000064587526,0.030943373,0.030976329,0.67781883],"study_design_scores_gemma":[0.0033242523,0.00044834756,0.5624309,0.0004543936,0.00003344013,0.00014877677,0.00045473737,0.004787902,0.00006143004,0.02220348,0.4048984,0.0007539309],"about_ca_topic_score_codex":0.00009562189,"about_ca_topic_score_gemma":0.0000030376343,"teacher_disagreement_score":0.6770649,"about_ca_system_score_codex":0.0002863834,"about_ca_system_score_gemma":0.000100728575,"threshold_uncertainty_score":0.8620658},"labels":[],"label_agreement":null},{"id":"W1989408548","doi":"10.3846/1648715x.2013.862190","title":"CAN WE BEAT THE “BUY-AND-HOLD” STRATEGY? ANALYSIS ON EUROPEAN AND AMERICAN SECURITIZED REAL ESTATE INDICES","year":2014,"lang":"en","type":"article","venue":"International Journal of Strategic Property Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Hong Kong Polytechnic University","keywords":"Real estate; Database transaction; Index (typography); Estate; Trading strategy; Property (philosophy); Order (exchange); Business; Predictive power; Computer science; Finance; Database","score_opus":0.035564289498267114,"score_gpt":0.23315094654673157,"score_spread":0.19758665704846445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989408548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63439417,0.00005283933,0.00012639511,0.0038812885,0.00019629355,0.0000842971,0.000017106777,0.000009984428,0.36123762],"genre_scores_gemma":[0.98534876,0.013663571,0.00017398626,0.00025874728,0.00016406729,0.0000025189902,0.000005596644,0.000015529358,0.00036724607],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99882823,0.00006843128,0.00060343085,0.00023740421,0.0000948946,0.00016760758],"domain_scores_gemma":[0.9989841,0.00004659399,0.0006807085,0.00015034186,0.000051993124,0.00008624354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012007197,0.00014789951,0.00032398952,0.00040954264,0.000089230394,0.00042062832,0.00041034992,0.000019279376,0.000045141827],"category_scores_gemma":[0.000011869648,0.00009651155,0.00010620275,0.00015090678,0.00013688396,0.00015328184,0.000098441305,0.00016986692,0.000015849566],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005887943,0.00032613924,0.03139731,0.00007533914,0.0066689756,0.0002282818,0.0028477488,0.005327666,0.000020546111,0.31271803,0.00045379464,0.6393474],"study_design_scores_gemma":[0.010940533,0.003737206,0.46404138,0.00044377925,0.0015781028,0.0002441946,0.01793904,0.11270074,0.000051867908,0.23507826,0.15065801,0.0025868972],"about_ca_topic_score_codex":0.0005226593,"about_ca_topic_score_gemma":0.00018236066,"teacher_disagreement_score":0.6367605,"about_ca_system_score_codex":0.00007481104,"about_ca_system_score_gemma":0.0000102062595,"threshold_uncertainty_score":0.40561286},"labels":[],"label_agreement":null},{"id":"W1989575659","doi":"10.1007/s11146-011-9309-0","title":"Developers, Herding, and Overbuilding","year":2011,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Herding; Reputation; Real estate; Copying; Order (exchange); Economics; Business; Marketing; Finance; Sociology; Geography; Political science","score_opus":0.036997806492717694,"score_gpt":0.19689322819125415,"score_spread":0.15989542169853646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989575659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9057455,0.0004443753,0.00013930647,0.00014161543,0.00028576262,0.00005175196,0.000010423426,0.0000057663624,0.09317552],"genre_scores_gemma":[0.7941792,0.20374423,0.0017795045,0.00008521881,0.00007667788,7.6481433e-7,4.811827e-7,0.000019785453,0.00011415933],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99890375,0.000013659932,0.00067533995,0.00015302443,0.0000107311125,0.00024350207],"domain_scores_gemma":[0.99896103,0.00006388288,0.0007222708,0.00015722071,0.000022283139,0.00007331796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012028989,0.00014515551,0.0003987756,0.00011565746,0.0001547756,0.00005835962,0.00020224175,0.00006831276,0.000030103241],"category_scores_gemma":[0.000026166581,0.00012997302,0.000058075842,0.000047411846,0.0001341824,0.0005063361,0.00006538374,0.00017864427,0.000017883702],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092370325,0.0001391742,0.25328702,0.00011945407,0.00037913595,0.000038882572,0.04077618,0.0008572505,0.000030281166,0.21196193,0.0014372513,0.49004972],"study_design_scores_gemma":[0.00463513,0.0012548032,0.39482322,0.00021448976,0.00014995449,0.0017163679,0.0041010184,0.011832753,0.0006194288,0.17745441,0.401161,0.0020374379],"about_ca_topic_score_codex":0.0003972395,"about_ca_topic_score_gemma":0.00006861209,"teacher_disagreement_score":0.48801228,"about_ca_system_score_codex":0.000063465886,"about_ca_system_score_gemma":0.000034493565,"threshold_uncertainty_score":0.53001463},"labels":[],"label_agreement":null},{"id":"W1989750380","doi":"10.1007/s11146-005-7011-9","title":"The Neighborhood Effect of Real Estate Maintenance","year":2005,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Subsidy; Externality; Real estate; Loan; Microeconomics; Investment (military); Finance; Property tax; Economics; Business; Value (mathematics); Land Values; Market economy; Land use","score_opus":0.0093421122656776,"score_gpt":0.20243645181937042,"score_spread":0.19309433955369282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989750380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9065536,0.00033823922,0.00007040197,0.0010780578,0.00044913523,0.0001458061,0.000042603264,0.0000078005605,0.09131431],"genre_scores_gemma":[0.6122306,0.38711846,0.00015742303,0.000035465164,0.0001772502,0.0000023213352,0.0000013357952,0.00002512205,0.00025203216],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978717,0.00005989646,0.0013730964,0.0002073452,0.00003032075,0.00045765887],"domain_scores_gemma":[0.9969855,0.0005786228,0.0018774748,0.00041517048,0.00005275132,0.00009049893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003234103,0.00024901595,0.0007381622,0.000108905355,0.0002782982,0.00009662657,0.0005437667,0.00009547968,0.000015955313],"category_scores_gemma":[0.00008281929,0.00017324858,0.00020267612,0.00010301654,0.00030561147,0.00050473446,0.00009687675,0.0003278791,0.00004319633],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017003869,0.00007096215,0.031926647,0.00007250332,0.0002514333,0.00000822649,0.002917333,0.011684107,0.000019603629,0.02054464,0.0016753857,0.92912877],"study_design_scores_gemma":[0.009326727,0.004022282,0.08308793,0.00025698717,0.00029907242,0.00071743946,0.0013412563,0.08970882,0.0013399981,0.02397985,0.78414524,0.0017744254],"about_ca_topic_score_codex":0.0004623061,"about_ca_topic_score_gemma":0.00042277796,"teacher_disagreement_score":0.92735434,"about_ca_system_score_codex":0.00015367377,"about_ca_system_score_gemma":0.00006847347,"threshold_uncertainty_score":0.7064872},"labels":[],"label_agreement":null},{"id":"W1990329567","doi":"10.1080/19463138.2011.552942","title":"Contamination by the Israeli military industry and its impact on apartment sale prices in an adjacent Tel Aviv neighborhood: a hedonic pricing model study","year":2011,"lang":"en","type":"article","venue":"International Journal of Urban Sustainable Development","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Centers for Disease Control and Prevention; Athabasca University","keywords":"Apartment; Contamination; Business; Sample (material); Agricultural economics; Economics; Natural resource economics; Engineering","score_opus":0.02823758712551638,"score_gpt":0.2524181478480564,"score_spread":0.22418056072254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990329567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957095,0.00088785344,0.0003552074,0.00018540035,0.0002096215,0.00036056427,0.000010214403,0.0000065279974,0.0022751116],"genre_scores_gemma":[0.998987,0.00015986936,0.00022974826,0.00016733461,0.00005756802,0.000021183521,0.000007544345,0.000019033905,0.0003507132],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983853,0.000030231517,0.0009039371,0.0002501178,0.00012969732,0.0003007283],"domain_scores_gemma":[0.99898094,0.000047017806,0.0005234808,0.00012333854,0.00021681518,0.00010841955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013117498,0.00018624263,0.00030020322,0.00045827343,0.0000996481,0.0000876103,0.000408582,0.000092991926,0.000070362905],"category_scores_gemma":[0.00007659185,0.0001564179,0.00005499082,0.00011980442,0.000022046654,0.0006652794,0.00010706976,0.00034964745,0.000006992932],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000914154,0.0031948388,0.9102008,0.0000384564,0.00057532097,0.00019559958,0.057375446,0.0072557745,0.000012066921,0.011989391,0.0012115756,0.007036594],"study_design_scores_gemma":[0.0046863263,0.0013348376,0.89772695,0.00011984269,0.000026489433,0.000053486612,0.039278127,0.047990527,0.00022953365,0.0049021896,0.0029624226,0.0006892333],"about_ca_topic_score_codex":0.0001695828,"about_ca_topic_score_gemma":0.00004730943,"teacher_disagreement_score":0.040734753,"about_ca_system_score_codex":0.0014844645,"about_ca_system_score_gemma":0.0002251589,"threshold_uncertainty_score":0.6378537},"labels":[],"label_agreement":null},{"id":"W1993018897","doi":"10.1093/jeg/lbr007","title":"The effects of land transfer taxes on real estate markets: evidence from a natural experiment in Toronto","year":2011,"lang":"en","type":"article","venue":"Journal of Economic Geography","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":176,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Ontario Brain Institute","funders":"","keywords":"Economics; Welfare; Real estate; Property tax; Natural experiment; Revenue; Deadweight loss; Monetary economics; Tax deferral; Ad valorem tax; Tax revenue; Transfer (computing); Estate tax; Tax reform; Labour economics; Public economics; Finance; State income tax; Market economy; Gross income","score_opus":0.01663624656091641,"score_gpt":0.21701999144130976,"score_spread":0.20038374488039334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993018897","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9740379,0.0038784428,0.000016132093,0.000051555322,0.0016327278,0.00014607207,0.00002274757,0.0000045142515,0.020209903],"genre_scores_gemma":[0.963447,0.03613499,0.0002333731,0.00002732729,0.00011097211,0.000008108096,8.784101e-7,0.000018424134,0.000018961076],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982971,0.000048110116,0.0011320354,0.00022597004,0.000028846558,0.00026791374],"domain_scores_gemma":[0.99852765,0.0005174911,0.0005727098,0.00027937774,0.00001909392,0.00008369866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009522248,0.00017754859,0.00054409215,0.00021186577,0.00005845391,0.000052410658,0.00040110425,0.00007853859,0.00019059287],"category_scores_gemma":[0.000058975424,0.00015316842,0.00033927723,0.00004939503,0.00009163466,0.00047236923,0.000028959175,0.00018384274,0.000017515054],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022625471,0.00027584218,0.9662489,0.000060884347,0.00049885083,0.000023633544,0.005943043,0.000065094304,0.00014204615,0.0026735708,0.00039612292,0.021409461],"study_design_scores_gemma":[0.0027544913,0.00096269144,0.98056173,0.00039442224,0.0000381369,0.000009508778,0.0008789623,0.0006650918,0.0021015995,0.008424947,0.0027114896,0.00049695204],"about_ca_topic_score_codex":0.0129031455,"about_ca_topic_score_gemma":0.005444075,"teacher_disagreement_score":0.032256547,"about_ca_system_score_codex":0.00025698016,"about_ca_system_score_gemma":0.000031211017,"threshold_uncertainty_score":0.99367005},"labels":[],"label_agreement":null},{"id":"W1993191935","doi":"10.5539/ass.v7n10p188","title":"Dynamic Impact of Interest Rate Policy on Real Estate Market","year":2011,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; Vector autoregression; Interest rate; Capitalization rate; Economics; Monetary policy; Impulse response; Financial economics; Monetary economics; Real estate investment trust; Finance","score_opus":0.052786866934697356,"score_gpt":0.28284166090412927,"score_spread":0.2300547939694319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993191935","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3994022,0.0000011401265,0.000025341877,0.00007863655,0.00012985847,0.00004629584,0.000035400833,0.000013759151,0.60026735],"genre_scores_gemma":[0.99923056,0.00018294147,0.00016679986,0.00003655227,0.000055376604,0.0000025986326,0.0000015426061,0.000014204776,0.00030943172],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.998877,0.000017338654,0.00035778177,0.000323234,0.000023160048,0.00040151662],"domain_scores_gemma":[0.99932086,0.000019509778,0.00031199795,0.00021266464,0.000024828827,0.00011012834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010836464,0.00011928588,0.00026187627,0.00034031676,0.00018899351,0.000056554873,0.00044627898,0.000060788447,0.0004159877],"category_scores_gemma":[0.00012734992,0.00012942975,0.0001384762,0.0005627437,0.00051464094,0.00031193605,0.00008078468,0.00009936107,0.0001788032],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027087695,0.00029282962,0.07482859,0.000024126492,0.0000647726,0.0000094518155,0.014160769,0.0000027905694,0.0003303026,0.44781134,0.0009833627,0.46122077],"study_design_scores_gemma":[0.00023510102,0.00017203235,0.9606301,0.000007286461,0.000001756289,0.0000011916491,0.00023198448,0.00049692206,0.000052828727,0.037409797,0.000543504,0.0002175013],"about_ca_topic_score_codex":0.0032403963,"about_ca_topic_score_gemma":0.00019571476,"teacher_disagreement_score":0.8858015,"about_ca_system_score_codex":0.00043500634,"about_ca_system_score_gemma":0.00019679301,"threshold_uncertainty_score":0.5277992},"labels":[],"label_agreement":null},{"id":"W1993613519","doi":"10.1111/j.1467-9663.2007.00436.x","title":"SUBPRIME MORTGAGE SEGMENTATION IN THE AMERICAN URBAN SYSTEM","year":2007,"lang":"en","type":"article","venue":"Tijdschrift voor Economische en Sociale Geografie","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Credit Union Administration","keywords":"Metropolitan area; Boom; Denial; Subprime mortgage crisis; Proposition; Financial system; Business; Economics; Geography; Financial crisis; Keynesian economics","score_opus":0.015137388270675236,"score_gpt":0.23096249117977613,"score_spread":0.2158251029091009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993613519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7628899,0.00022122347,0.0007041045,0.00043649785,0.0005079773,0.00042987123,0.000045009197,0.00010395651,0.23466146],"genre_scores_gemma":[0.9970871,0.00012959812,0.0007442867,0.00060721894,0.00081819645,0.00005848759,0.000053205087,0.00006248217,0.0004393951],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972123,0.000092000526,0.0012298208,0.00062040694,0.000052741587,0.0007927555],"domain_scores_gemma":[0.99810964,0.0003608989,0.0008418116,0.000537084,0.000023106113,0.00012746072],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00497095,0.00031682325,0.0007357191,0.00038245454,0.00027830477,0.00023594646,0.00061853265,0.00017869526,0.00017537743],"category_scores_gemma":[0.000088141,0.00034962143,0.00026743967,0.00043958574,0.00020006577,0.00039362352,0.00008254649,0.00043779382,0.0013625661],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016682039,0.0002549712,0.75835407,0.00008942811,0.00017583216,0.00004473684,0.006139225,0.00010083345,0.00006711084,0.21288082,0.0036546828,0.01807145],"study_design_scores_gemma":[0.0033135626,0.00021663084,0.7578379,0.000041305466,0.00005148807,0.000031596923,0.01516523,0.0018427237,0.00025421003,0.0035713725,0.21603236,0.0016416174],"about_ca_topic_score_codex":0.002584052,"about_ca_topic_score_gemma":0.001642032,"teacher_disagreement_score":0.23422207,"about_ca_system_score_codex":0.00041744707,"about_ca_system_score_gemma":0.00006288916,"threshold_uncertainty_score":0.9998956},"labels":[],"label_agreement":null},{"id":"W1994109453","doi":"10.1002/bref.96","title":"Property investment and development finance in Italy","year":2003,"lang":"en","type":"article","venue":"Briefings in Real Estate Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Smiths Detection (Canada)","funders":"","keywords":"Investment (military); Perspective (graphical); Property (philosophy); Relation (database); Finance; Economics; Actuarial science; Business; Political science; Law; Computer science","score_opus":0.03095878969480424,"score_gpt":0.20811299424023724,"score_spread":0.177154204545433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994109453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74739593,0.00027660033,0.000081749386,0.00030015825,0.00012984789,0.00024670985,0.000007647074,0.000021893597,0.25153944],"genre_scores_gemma":[0.9597105,0.02486832,0.012431097,0.00091526925,0.000015761858,0.00012784319,0.0000098566725,0.000052761367,0.0018686389],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979969,0.0000202542,0.00081670505,0.0006215213,0.000030409194,0.0005142079],"domain_scores_gemma":[0.999398,0.00003954476,0.00025646537,0.00024545338,0.000012773961,0.000047782956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078589673,0.00022626604,0.00045916872,0.00021475338,0.00007865064,0.000067837624,0.00015081558,0.00010958896,0.000016955939],"category_scores_gemma":[0.00012426707,0.00024307765,0.000029010169,0.00027675708,0.00009658759,0.00030002117,0.00006088443,0.00019754287,0.00008704921],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000119113756,0.00055582915,0.57443607,0.00024326507,0.000022992708,0.00018289033,0.009050431,0.0024248767,0.000014942128,0.22285067,0.0020997254,0.18799922],"study_design_scores_gemma":[0.0011843629,0.0000455265,0.17718683,0.00009908828,8.121456e-7,0.000013942743,0.000046443896,0.0014036504,0.0001177179,0.008711118,0.8106532,0.00053731597],"about_ca_topic_score_codex":0.0026332173,"about_ca_topic_score_gemma":0.0013806722,"teacher_disagreement_score":0.80855346,"about_ca_system_score_codex":0.0002939751,"about_ca_system_score_gemma":0.00011295511,"threshold_uncertainty_score":0.9912419},"labels":[],"label_agreement":null},{"id":"W1994119483","doi":"10.1080/10511482.2004.9521516","title":"Has mortgage capital found an inner‐city spatial fix?","year":2004,"lang":"en","type":"article","venue":"Housing Policy Debate","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Securitization; Restructuring; Capital (architecture); Nexus (standard); Investment (military); Economics; Financial system; Finance; Political science; Geography","score_opus":0.05764486846071873,"score_gpt":0.2518988998987874,"score_spread":0.19425403143806866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994119483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9475513,0.00007529434,0.0054665813,0.0013051376,0.0007720146,0.00016450415,0.000087666616,0.00020337667,0.04437411],"genre_scores_gemma":[0.9959937,0.0000936361,0.0014155131,0.0008837807,0.0012037329,0.000009677773,0.000038911607,0.00009404746,0.00026702217],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978983,0.000020049158,0.000696182,0.0006033303,0.00004459911,0.00073754264],"domain_scores_gemma":[0.99875224,0.000026198632,0.00034097518,0.00059407845,0.000028017681,0.00025848366],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00049950427,0.00030374376,0.00050454773,0.0004588942,0.0004572278,0.00049586385,0.00033888762,0.0001954596,0.00019958969],"category_scores_gemma":[0.00014206421,0.00038734922,0.00016112658,0.00028351814,0.00019444313,0.0006309364,0.00011507738,0.00024986384,0.00076883286],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049462286,0.002305551,0.21909644,0.00028697093,0.0006030113,0.00042290438,0.030007815,0.04415256,0.0007426356,0.6211933,0.0017337857,0.07896045],"study_design_scores_gemma":[0.0077574016,0.0007214038,0.1425242,0.00011883409,0.000050052615,0.000173375,0.0003440152,0.015649622,0.0015288913,0.6916511,0.13548648,0.003994596],"about_ca_topic_score_codex":0.034372434,"about_ca_topic_score_gemma":0.0053259376,"teacher_disagreement_score":0.1337527,"about_ca_system_score_codex":0.0005732398,"about_ca_system_score_gemma":0.0001888129,"threshold_uncertainty_score":0.99985784},"labels":[],"label_agreement":null},{"id":"W1994878515","doi":"10.1016/j.landurbplan.2010.01.003","title":"The value of public and private green spaces under water restrictions","year":2010,"lang":"en","type":"article","venue":"Landscape and Urban Planning","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Recreation; Neighbourhood (mathematics); Value (mathematics); Private space; Private property; Business; Geography; Economics; Natural resource economics; Ecology; Mathematics; Marketing; Statistics","score_opus":0.02467334821172386,"score_gpt":0.20634134036290075,"score_spread":0.1816679921511769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994878515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9732391,0.00078196044,0.0001573717,0.0010213767,0.00023054722,0.000048103197,0.000009395978,0.000016757329,0.024495376],"genre_scores_gemma":[0.99882746,0.00035324093,0.000112051326,0.000049268623,0.00011106955,0.000003179047,0.0000064698593,0.000010876414,0.0005263629],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993824,0.000007785642,0.00022778497,0.00016378093,0.000014120483,0.0002041407],"domain_scores_gemma":[0.99960136,0.00008287647,0.0000943366,0.00015378282,0.000008408933,0.000059237285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004269576,0.00007997144,0.00015593249,0.00008926935,0.00024769036,0.00015652346,0.000087280256,0.000068979374,0.000030405972],"category_scores_gemma":[0.000024925464,0.000057868438,0.000025243067,0.000052179108,0.00006888425,0.00014032773,0.00006152127,0.0001411802,0.000010367061],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000067343476,0.0000071930776,0.91641176,0.000008807192,0.000025783862,6.4330993e-7,0.00045769112,0.000010555087,0.00008485513,0.08180647,0.00071598403,0.00046350257],"study_design_scores_gemma":[0.00087332644,0.00008456875,0.5147666,0.000018521274,0.000019223553,0.000028102972,0.0005716978,0.010751338,0.00017628746,0.050868273,0.4214325,0.00040961613],"about_ca_topic_score_codex":0.000056385914,"about_ca_topic_score_gemma":0.000030787472,"teacher_disagreement_score":0.4207165,"about_ca_system_score_codex":0.0000038059875,"about_ca_system_score_gemma":0.0000051020907,"threshold_uncertainty_score":0.23598063},"labels":[],"label_agreement":null},{"id":"W1995571271","doi":"10.1016/j.geoforum.2006.12.009","title":"Intra-metropolitan preferences of property developers in greater Toronto’s office market","year":2007,"lang":"en","type":"article","venue":"Geoforum","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Real estate; Downtown; Notice; Market segmentation; Property (philosophy); Economic geography; Property market; Real estate development; Segmentation; Business; Marketing; Economics; Geography; Artificial intelligence; Finance; Computer science; Political science; Law","score_opus":0.02574294266146449,"score_gpt":0.21273882004455216,"score_spread":0.18699587738308768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995571271","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46598232,0.00017249827,0.00032751108,0.000109123175,0.0002905092,0.00011936696,0.000021282092,0.000016406502,0.532961],"genre_scores_gemma":[0.9945267,0.00022181631,0.0012271653,0.000106052285,0.00005273771,0.0000063312496,0.00000682838,0.000021086818,0.0038312867],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997945,0.000012133729,0.00075812836,0.00032601034,0.000028949715,0.00092976185],"domain_scores_gemma":[0.99937576,0.000041348303,0.00021906914,0.0002599418,0.000024680801,0.000079189165],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022549115,0.00015491687,0.00039287857,0.0001812375,0.000075356176,0.0000311612,0.00025146556,0.0001247035,0.0018685181],"category_scores_gemma":[0.00009086332,0.00013764645,0.00006882454,0.00015728733,0.00007769847,0.0002960967,0.00012635568,0.00009937421,0.00013318355],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031305978,0.00013452483,0.9370565,0.00008645399,0.000059073398,0.000006661475,0.0010228028,0.000010980104,0.000024904755,0.028942512,0.0048431447,0.027499394],"study_design_scores_gemma":[0.0013240428,0.0002188045,0.85746527,0.00006913534,0.000007778702,0.000007963334,0.0038421499,0.0007840776,0.0006425108,0.0074489256,0.12736638,0.0008229478],"about_ca_topic_score_codex":0.0069783344,"about_ca_topic_score_gemma":0.011899137,"teacher_disagreement_score":0.5291297,"about_ca_system_score_codex":0.00050453754,"about_ca_system_score_gemma":0.00003788479,"threshold_uncertainty_score":0.99963427},"labels":[],"label_agreement":null},{"id":"W1996577247","doi":"10.1111/1540-6229.00029","title":"Housing Price Volatility Changes and Their Effects","year":2002,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Volatility (finance); Economics; Volatility risk premium; Volatility smile; Volatility swap; Econometrics; Monetary economics; Financial economics; Forward volatility; Implied volatility","score_opus":0.026230033549956983,"score_gpt":0.18627659827747628,"score_spread":0.1600465647275193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996577247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79985815,0.00023467273,0.00021605295,0.0003659942,0.00043846708,0.00019689048,0.00006321843,0.00008746259,0.19853911],"genre_scores_gemma":[0.957472,0.041192714,0.00056194543,0.00019309527,0.00019302987,0.000015543206,0.000011556698,0.00006275039,0.00029733608],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983894,0.00001990152,0.00050581957,0.00058870297,0.000008947938,0.00048719105],"domain_scores_gemma":[0.9988662,0.00018556078,0.0003473358,0.00040268135,0.00001328555,0.00018493894],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000491823,0.00028068642,0.00057843263,0.00017992005,0.0001847176,0.00018775229,0.00018077974,0.00014790999,0.00016662356],"category_scores_gemma":[0.000055698016,0.00033045548,0.000087068416,0.000092121685,0.00010918073,0.00035366302,0.00011134687,0.00016769524,0.00026452268],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060785642,0.00021934687,0.11028423,0.00033177738,0.00019484271,0.000011099764,0.0061710575,0.0003794088,0.00003744561,0.021905104,0.00079242553,0.85961246],"study_design_scores_gemma":[0.0021624384,0.00030457813,0.030866764,0.000049385453,0.000021502776,0.000035547484,0.00035143644,0.72842205,0.00033312614,0.030015292,0.20566112,0.0017767894],"about_ca_topic_score_codex":0.00043352062,"about_ca_topic_score_gemma":0.0004201697,"teacher_disagreement_score":0.8578357,"about_ca_system_score_codex":0.00021238996,"about_ca_system_score_gemma":0.000009372229,"threshold_uncertainty_score":0.99991477},"labels":[],"label_agreement":null},{"id":"W1996824651","doi":"10.1111/1756-2171.12022","title":"Days on market and home sales","year":2013,"lang":"en","type":"article","venue":"The RAND Journal of Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Listing (finance); Business; Economics; Commerce; Monetary economics; Finance","score_opus":0.022357194436882347,"score_gpt":0.18175781047829834,"score_spread":0.15940061604141598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996824651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92111623,0.0007661587,0.00007892231,0.0020929605,0.0006964764,0.00011358921,0.000015522077,0.000006002162,0.07511416],"genre_scores_gemma":[0.99220514,0.0059843496,0.0002881703,0.00050995604,0.0003648737,0.0000030989877,0.0000010194772,0.000026694077,0.0006166891],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998798,0.000022322783,0.0007848586,0.00015791405,0.000011300721,0.0002255936],"domain_scores_gemma":[0.99867946,0.00023863644,0.00070012157,0.00024214832,0.000025991965,0.00011362759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012095342,0.00014795178,0.00047374133,0.00017350241,0.00012303464,0.00021155957,0.00028882385,0.00007548969,0.0006794164],"category_scores_gemma":[0.000062781946,0.00012104158,0.00014234443,0.00004204599,0.00010635886,0.00038399483,0.000048230668,0.00021166854,0.0003807043],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019992357,0.00059066765,0.15370406,0.00020967456,0.0016026775,0.000024356947,0.0048128255,0.004958894,0.000052143194,0.58265805,0.10953581,0.13985159],"study_design_scores_gemma":[0.0056739138,0.0005948754,0.092037156,0.00009407879,0.000050140134,0.00030303226,0.0005392426,0.015036346,0.00005927362,0.7189503,0.16576596,0.00089572096],"about_ca_topic_score_codex":0.000026322141,"about_ca_topic_score_gemma":0.000009956778,"teacher_disagreement_score":0.13895586,"about_ca_system_score_codex":0.00007104192,"about_ca_system_score_gemma":0.000020373845,"threshold_uncertainty_score":0.7439133},"labels":[],"label_agreement":null},{"id":"W1998272823","doi":"10.4296/cwrj13","title":"Full Cost Accounting for Water Supply and Sewage Treatment: Concepts and Case Application","year":2004,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sewage; Water supply; Environmental full-cost accounting; Cost accounting; Accounting method; Business; Water industry; Environmental science; Water resource management; Accounting; Natural resource economics; Economics; Accounting information system; Environmental engineering; Throughput accounting; Financial accounting","score_opus":0.01846301535589617,"score_gpt":0.20567674248706105,"score_spread":0.18721372713116488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998272823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947294,0.0016689074,0.00024185936,0.0009988021,0.0001409842,0.0005012041,0.00025847598,0.000028486073,0.001431892],"genre_scores_gemma":[0.9972664,0.0010405316,0.0005382538,0.00022767208,0.00044276981,0.00007137272,0.00006124232,0.000077155644,0.0002746029],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976711,0.000027194887,0.00064874574,0.0005382134,0.000017099526,0.0010976412],"domain_scores_gemma":[0.9984033,0.00004630972,0.00021106281,0.0002564749,0.00007220062,0.0010106436],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00056873437,0.0003285396,0.00052521966,0.0005527336,0.0011394954,0.000712421,0.00019695933,0.00018829238,0.000050278923],"category_scores_gemma":[0.000046584955,0.00028494818,0.000114975504,0.00007148457,0.0002961624,0.0004396823,0.000032931588,0.00019481848,0.000020463265],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002214733,0.000049656945,0.028826784,0.00037148586,0.00036178634,0.0022161917,0.905211,0.0016012397,0.0009779291,0.0004530542,0.000018918663,0.05969049],"study_design_scores_gemma":[0.0013876241,0.00033085258,0.000268795,0.00008456047,0.000042504078,0.008836922,0.0014598671,0.0012010064,0.0014087382,0.011298494,0.9730809,0.00059978315],"about_ca_topic_score_codex":0.16622709,"about_ca_topic_score_gemma":0.610258,"teacher_disagreement_score":0.9730619,"about_ca_system_score_codex":0.0011302608,"about_ca_system_score_gemma":0.0000071865375,"threshold_uncertainty_score":0.99996024},"labels":[],"label_agreement":null},{"id":"W1998336043","doi":"10.5539/ass.v4n4p114","title":"In the Current Real Estate Macroeconomic Regulation and Control Should Pay Attention Questions","year":2009,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; Control (management); Order (exchange); Government (linguistics); Economics; Estate; Real estate investment trust; Macroeconomics; Finance","score_opus":0.023234343738840327,"score_gpt":0.271280283484062,"score_spread":0.2480459397452217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998336043","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46172783,0.000035814915,0.0006733624,0.013662632,0.0005205937,0.00027179634,0.000021880303,0.00002573763,0.5230604],"genre_scores_gemma":[0.99911106,0.00038434824,0.0000614406,0.00023611158,0.00015819671,0.0000071930112,0.0000027882345,0.000004073616,0.00003479412],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9990979,0.000020569112,0.000307922,0.00028572025,0.000031136027,0.00025677859],"domain_scores_gemma":[0.99964476,0.000018272744,0.00016272033,0.000119265205,0.000012832262,0.000042154377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013610087,0.00008028928,0.00015163432,0.00013736579,0.00037487983,0.00020388709,0.00020175536,0.00003808162,0.000020834554],"category_scores_gemma":[0.000035645917,0.000072595874,0.000038938277,0.00025792007,0.00022398791,0.0005725386,0.00001484629,0.00013542359,0.000050344162],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000103819475,0.000045795783,0.023993079,0.000003174353,0.0000018930518,7.775918e-7,0.0021338928,0.0000049684277,0.0000629881,0.19336392,0.00021465632,0.7801645],"study_design_scores_gemma":[0.00026640142,0.000020745398,0.90698403,0.000003226437,0.0000023147554,0.0000014518299,0.00011628323,0.00082901074,0.0000017874864,0.08428224,0.0073833093,0.00010920099],"about_ca_topic_score_codex":0.00018488089,"about_ca_topic_score_gemma":0.000109866145,"teacher_disagreement_score":0.88299096,"about_ca_system_score_codex":0.0001642525,"about_ca_system_score_gemma":0.000034776756,"threshold_uncertainty_score":0.2960374},"labels":[],"label_agreement":null},{"id":"W1999120423","doi":"10.1503/cmaj.100808","title":"In primary care, when is chest pain due to coronary artery disease?","year":2010,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Pfizer (Canada)","funders":"National Institute for Health and Care Research","keywords":"Possession (linguistics); Statute; Property (philosophy); Adverse possession; Property rights; Coronary artery disease; Chest pain; Medicine; Law and economics; Land law; Law; Economics; Cardiology; Land tenure; Political science; Linguistics; History","score_opus":0.009063449564216397,"score_gpt":0.17462601115468745,"score_spread":0.16556256159047106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999120423","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0086589595,0.0004049436,0.00008887863,0.95705605,0.0044619497,0.000252002,0.0007503399,0.0000151609,0.02831173],"genre_scores_gemma":[0.003861888,0.00021621543,0.00019823067,0.98193115,0.011060111,0.000025232152,0.00026673946,0.000080505895,0.0023599342],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971109,0.00012127131,0.0011185259,0.00047317348,0.00025545698,0.0009206466],"domain_scores_gemma":[0.9971255,0.00023896735,0.00056873553,0.00029123444,0.00010070134,0.0016748693],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.0031305675,0.0002954166,0.000748242,0.0008288238,0.0001900872,0.0002968677,0.0006102016,0.0024797646,0.0097656455],"category_scores_gemma":[0.0010927082,0.00038349532,0.00023801212,0.00015894118,0.000037229685,0.00023640224,0.000043859207,0.006101204,0.0017235157],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000049399537,0.000010410395,0.052893728,0.00005347124,0.00005236205,0.0028191805,0.00054309424,8.150396e-7,3.1053574e-8,0.00002710275,0.9291534,0.014441488],"study_design_scores_gemma":[0.0003649372,0.000020501864,0.0403646,0.00008527525,0.000008059039,0.000081681734,0.000028111504,0.0000732415,4.2808615e-8,0.0043066773,0.95425034,0.00041656525],"about_ca_topic_score_codex":0.0031337887,"about_ca_topic_score_gemma":0.025579134,"teacher_disagreement_score":0.025951795,"about_ca_system_score_codex":0.0051322165,"about_ca_system_score_gemma":0.002666414,"threshold_uncertainty_score":0.9998617},"labels":[],"label_agreement":null},{"id":"W1999366593","doi":"10.1080/15378020.2012.706177","title":"Wealth Effects on Consumer Spending: Investigation of Casual Dining and Quick Service Restaurant","year":2012,"lang":"en","type":"article","venue":"Journal of Foodservice Business Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Casual; Consumption (sociology); Quarter (Canadian coin); Business; Service (business); Asset (computer security); Consumer spending; Marketing; Advertising; Food service; Full service; Economics; Commerce; Recession","score_opus":0.1302270067697328,"score_gpt":0.32910574134672216,"score_spread":0.19887873457698935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999366593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918743,0.001430447,0.00006050659,0.0020593684,0.00060141267,0.00016708662,0.000008150154,0.0000063493508,0.0037924312],"genre_scores_gemma":[0.9975205,0.0010877746,0.0007051857,0.00018566499,0.00043817263,0.0000031558127,0.0000031734658,0.000032482676,0.000023872964],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980526,0.00013947635,0.00092589314,0.00019772784,0.00016894384,0.0005153601],"domain_scores_gemma":[0.99746186,0.00070398574,0.000826731,0.00025095337,0.00047416298,0.00028232543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005100314,0.00015362362,0.00056068087,0.000848459,0.00016455002,0.000093472125,0.0002923849,0.00013389038,0.00004514934],"category_scores_gemma":[0.00054139085,0.00015533011,0.000056044482,0.00088664144,0.000090247966,0.00072702474,0.0001234311,0.00048484615,0.000058718644],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006175132,0.00019454345,0.9697369,0.00219917,0.00014500195,0.00001610934,0.0042054853,0.00010236918,0.0015940844,0.013688457,0.00047275538,0.0070276326],"study_design_scores_gemma":[0.002037485,0.0004252684,0.9801229,0.00073842023,0.000022883067,0.00010118319,0.00084966887,0.0008310803,0.002246454,0.007833833,0.004450833,0.0003399608],"about_ca_topic_score_codex":0.000643951,"about_ca_topic_score_gemma":0.00008841422,"teacher_disagreement_score":0.010386053,"about_ca_system_score_codex":0.00017724815,"about_ca_system_score_gemma":0.00012155321,"threshold_uncertainty_score":0.6334178},"labels":[],"label_agreement":null},{"id":"W1999493439","doi":"10.1016/j.regsciurbeco.2010.10.001","title":"Fifty years of urban accessibility: The impact of the urban railway network on the land gradient in Berlin 1890–1936","year":2010,"lang":"en","type":"article","venue":"Regional Science and Urban Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Counterfactual thinking; Endogeneity; Decentralization; Economics; Benchmark (surveying); Comparative statics; Transport network; Explanatory power; Econometrics; Quarter (Canadian coin); Economic geography; Regional science; Geography; Transport engineering; Microeconomics; Cartography; Engineering","score_opus":0.027743865832739373,"score_gpt":0.22938594826958741,"score_spread":0.20164208243684803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999493439","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99062,0.00015637965,0.000002300784,0.0012438786,0.00043069024,0.00026522428,0.000037747825,0.0000049013165,0.007238838],"genre_scores_gemma":[0.99910784,0.00026033566,0.00003364266,0.00027430183,0.00020354966,0.000009153873,0.0000015971912,0.000013057533,0.00009653138],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984763,0.000028636778,0.0006175078,0.00042620164,0.000055495715,0.00039581975],"domain_scores_gemma":[0.99826086,0.00035067298,0.00055781024,0.00070662133,0.00003683694,0.000087207736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029702964,0.00016006373,0.0003554153,0.000121132194,0.00026374613,0.0001180709,0.00097629323,0.000093715746,0.00005390954],"category_scores_gemma":[0.00022133556,0.00010225564,0.00018625805,0.0004270339,0.001287856,0.00026735672,0.00018765258,0.00032640595,0.000011194015],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003744402,0.00005915193,0.91658115,0.000004408117,0.00001870363,1.7905747e-7,0.0006583636,0.0013370904,0.000010522816,0.07672348,0.0033275278,0.0012419665],"study_design_scores_gemma":[0.0003034819,0.0000666539,0.9554006,0.000017666622,0.000004408215,0.0000034403715,0.000055765,0.013643929,0.000020339698,0.0208722,0.009442651,0.00016887304],"about_ca_topic_score_codex":0.0006555764,"about_ca_topic_score_gemma":0.00057763595,"teacher_disagreement_score":0.05585128,"about_ca_system_score_codex":0.00015883184,"about_ca_system_score_gemma":0.00022185314,"threshold_uncertainty_score":0.4745159},"labels":[],"label_agreement":null},{"id":"W2000418697","doi":"10.2469/faj.v61.n6.2776","title":"A Sustainable Spending Rate without Simulation","year":2005,"lang":"en","type":"article","venue":"Financial Analysts Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Economics; Rate of return; Econometrics; Investment (military); Value (mathematics); Monte Carlo method; Measure (data warehouse); Interest rate; Simple (philosophy); Actuarial science; Monetary economics; Computer science; Finance; Mathematics; Statistics","score_opus":0.02397210164672428,"score_gpt":0.240635763831037,"score_spread":0.2166636621843127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000418697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88249576,0.0004188308,0.03024512,0.0006517968,0.00056724565,0.00012976752,0.000009229122,0.00004736738,0.08543487],"genre_scores_gemma":[0.9916931,0.00015852736,0.0010948363,0.00019744613,0.0016117904,0.000002410567,0.000004876158,0.000026344138,0.005210699],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99834496,0.000025414744,0.0007938821,0.0002717881,0.000036600773,0.00052736705],"domain_scores_gemma":[0.99898845,0.00003862012,0.00057160016,0.00018267632,0.00006631601,0.00015232734],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0016674111,0.00016757793,0.0004284832,0.00044843342,0.0004633384,0.00032484136,0.00021713396,0.00011001255,0.0010029486],"category_scores_gemma":[0.00040027674,0.00019234499,0.00021247845,0.00029605796,0.000031483323,0.0008581049,0.000051027582,0.00030451198,0.0008324022],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003093898,0.00028484123,0.4552214,0.00006236316,0.00019039576,0.00016264981,0.0019077692,0.2873978,0.00004854341,0.21172762,0.0058091856,0.036878046],"study_design_scores_gemma":[0.0017419816,0.000105972096,0.07544379,0.000037029844,0.00004079409,0.00008275613,0.00015855845,0.25111163,0.00006188807,0.07829594,0.59209377,0.0008258957],"about_ca_topic_score_codex":0.00006387341,"about_ca_topic_score_gemma":0.00006266241,"teacher_disagreement_score":0.5862846,"about_ca_system_score_codex":0.00040586074,"about_ca_system_score_gemma":0.000064955915,"threshold_uncertainty_score":0.9999456},"labels":[],"label_agreement":null},{"id":"W2000705503","doi":"10.5539/ijef.v7n2p156","title":"The Relationship between House Prices and Stock Prices in Saudi Arabia: An Empirical Analysis","year":2015,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Granger causality; Stock market; Stock (firearms); Econometrics; Vector autoregression; Autoregressive model; House price; Impulse response; Variance decomposition of forecast errors; Financial economics; Monetary economics; Mathematics","score_opus":0.09819070865277846,"score_gpt":0.29632928630044064,"score_spread":0.19813857764766218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000705503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99389607,0.0014206169,0.00049213786,0.0023945328,0.00037875227,0.000054556156,0.000026924723,0.0000042132483,0.0013322079],"genre_scores_gemma":[0.9928412,0.005376389,0.0013663463,0.00010389494,0.00024885815,0.0000025716756,0.0000034946945,0.00001456588,0.000042718653],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998647,0.000015859565,0.00091410725,0.00022860791,0.000030273275,0.00016419058],"domain_scores_gemma":[0.9983824,0.00038245297,0.00092092744,0.00014541653,0.00007719724,0.000091617454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015699195,0.00011873436,0.00039096954,0.00040847654,0.000085132844,0.0003026727,0.00035252684,0.00008863755,0.0000027224414],"category_scores_gemma":[0.00029159605,0.00011318063,0.000087143904,0.00014743414,0.000099500976,0.0007043462,0.0000755534,0.0002084357,0.0000070255614],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000586746,0.000029947954,0.9471419,0.0000016065943,0.00013391233,0.0000034769773,0.00050465285,0.0028773225,3.162379e-8,0.045456562,0.00006927625,0.0037226607],"study_design_scores_gemma":[0.0006469409,0.00008404792,0.8710516,0.000008725595,0.000022594499,0.000014954753,0.00010991759,0.014229731,8.6106695e-7,0.0881565,0.025525928,0.00014817058],"about_ca_topic_score_codex":0.00009835979,"about_ca_topic_score_gemma":0.00040771914,"teacher_disagreement_score":0.07609025,"about_ca_system_score_codex":0.0001545776,"about_ca_system_score_gemma":0.0000582162,"threshold_uncertainty_score":0.4615372},"labels":[],"label_agreement":null},{"id":"W2002546038","doi":"10.2139/ssrn.905313","title":"Global Financial Integration and Real Estate Security Returns","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Real estate; Business; Finance; Commercial mortgage-backed security; Financial system; Real estate investment trust; Economics; Capitalization rate","score_opus":0.00843101036867595,"score_gpt":0.21476738059554887,"score_spread":0.20633637022687293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002546038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88919127,0.00039621323,0.011424111,0.00031459634,0.0004682237,0.00006818316,0.000015198273,0.00002589215,0.098096296],"genre_scores_gemma":[0.97333354,0.025887592,0.00017050677,0.000059034675,0.00038420566,8.384006e-7,0.000005876493,0.000013671114,0.00014475695],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99779767,0.000013184117,0.00051856885,0.00024041902,0.000028638411,0.0014015102],"domain_scores_gemma":[0.99942815,0.000023812807,0.0002946364,0.00011899309,0.00002716072,0.00010721689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003413068,0.00014008727,0.0002446299,0.000115862,0.00019023394,0.00010842891,0.00013800093,0.0001262579,0.000026348283],"category_scores_gemma":[0.00011257122,0.00015928531,0.00008413575,0.00015268353,0.000050433267,0.00030373302,0.000031750074,0.0006952729,0.00003879285],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012724558,0.00004093335,0.081852905,0.0000046024047,0.000035884557,0.000006260104,0.000539901,0.00000561229,0.000004943159,0.8014264,0.00014645494,0.11580884],"study_design_scores_gemma":[0.0006318422,0.00017853722,0.034232903,0.000006936484,0.000007796823,0.00025182808,0.00059206923,0.00051694893,0.0000086727605,0.9562027,0.007117555,0.0002522382],"about_ca_topic_score_codex":0.00077060313,"about_ca_topic_score_gemma":0.020220945,"teacher_disagreement_score":0.15477626,"about_ca_system_score_codex":0.0012346208,"about_ca_system_score_gemma":0.00031891087,"threshold_uncertainty_score":0.9976575},"labels":[],"label_agreement":null},{"id":"W2002705739","doi":"10.1108/09699980310489951","title":"The accuracy of housing forecasting in Australia","year":2003,"lang":"en","type":"article","venue":"Engineering Construction & Architectural Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Housing industry; Quarter (Canadian coin); Private sector; Consensus forecast; Demand forecasting; Business; Actuarial science; Finance; Economics; Operations research; Marketing; Econometrics; Engineering; Geography; Economic growth","score_opus":0.0272948032429649,"score_gpt":0.20434710586729982,"score_spread":0.1770523026243349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002705739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97548366,0.00009075314,0.009664534,0.00006445986,0.00088966516,0.00018441858,0.0000026476587,0.00003435454,0.013585504],"genre_scores_gemma":[0.98683584,0.00005440647,0.01296191,0.000005342776,0.000028662957,0.000011341308,0.0000010498111,0.000014556254,0.0000869029],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902225,0.000010360319,0.00049126986,0.00018849228,0.00002414639,0.00026345928],"domain_scores_gemma":[0.9995,0.00009435234,0.00018191102,0.00018683099,0.000006820926,0.00003011198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004362221,0.00011588417,0.00017906637,0.00022593568,0.000076296594,0.0000528299,0.00012140038,0.000029679048,0.000036442936],"category_scores_gemma":[0.00013451261,0.000117297495,0.000064843625,0.00022171225,0.000047174453,0.000088687644,0.000036274552,0.0001293382,0.000014820227],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025533162,0.000021139143,0.05206675,0.00018819998,0.000113664464,0.000008796068,0.00046605905,0.17263263,0.000049725084,0.6713935,0.000029355539,0.103004605],"study_design_scores_gemma":[0.00661718,0.0002341178,0.24326956,0.0008053427,0.00007629608,0.00039220054,0.0023932066,0.32155234,0.0026644787,0.23756455,0.18097423,0.0034564838],"about_ca_topic_score_codex":0.0000546696,"about_ca_topic_score_gemma":0.000020951735,"teacher_disagreement_score":0.43382898,"about_ca_system_score_codex":0.000085861386,"about_ca_system_score_gemma":0.0000035852224,"threshold_uncertainty_score":0.4783253},"labels":[],"label_agreement":null},{"id":"W2003344049","doi":"10.1016/j.ccs.2012.06.017","title":"The impact of professional sports facilities on housing values: Evidence from census block group data","year":2012,"lang":"en","type":"article","venue":"City Culture and Society","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":115,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"University of Illinois at Urbana-Champaign","keywords":"Census; Externality; Real estate; Residential property; Block (permutation group theory); Subsidy; Property value; Business; Value (mathematics); Economics; Geography; Finance; Regional science; Demography; Sociology; Microeconomics; Statistics; Mathematics","score_opus":0.08736097310291226,"score_gpt":0.28659615680330264,"score_spread":0.1992351837003904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003344049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918816,0.003113355,0.000040230454,0.00009450152,0.00045927434,0.000106952495,0.0006954631,0.000017205592,0.0035913826],"genre_scores_gemma":[0.99484986,0.0037915527,0.00033895107,0.000056206456,0.0003161806,0.0000022512997,0.00008283182,0.000009513131,0.0005526802],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990825,0.000018066587,0.0003249422,0.0002639869,0.000042873442,0.00026762672],"domain_scores_gemma":[0.9990498,0.00016560688,0.00023726898,0.00044510595,0.000020341022,0.0000819203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008649208,0.00013886408,0.00026810996,0.000010583756,0.0003593121,0.000070525326,0.00024421417,0.00013811397,0.00004356141],"category_scores_gemma":[0.00009759218,0.000097772805,0.00016402102,0.00005798592,0.0001459196,0.00041998012,0.00016400212,0.00019820272,0.000007438956],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063700056,0.00018494793,0.92853,0.000050070958,0.00022144846,3.8065497e-7,0.026776487,0.000034449877,0.00006784409,0.0024018162,0.03902794,0.0026409246],"study_design_scores_gemma":[0.00058531377,0.00009975236,0.93279606,0.00021417587,0.000035244233,0.0000029882042,0.009105761,0.0032013485,0.000063632724,0.013293272,0.040011343,0.00059112336],"about_ca_topic_score_codex":0.00053053425,"about_ca_topic_score_gemma":0.000009661744,"teacher_disagreement_score":0.017670726,"about_ca_system_score_codex":0.00007274269,"about_ca_system_score_gemma":0.00001876396,"threshold_uncertainty_score":0.39870593},"labels":[],"label_agreement":null},{"id":"W2003358461","doi":"10.1007/s11146-007-9015-0","title":"Spatial Autocorrelations and Urban Housing Market Segmentation","year":2007,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":87,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Market segmentation; Econometrics; Segmentation; Residual; Database transaction; Variogram; Variance (accounting); Statistics; Economics; Function (biology); Mathematics; Computer science; Algorithm; Artificial intelligence; Microeconomics; Kriging","score_opus":0.015501822756710623,"score_gpt":0.21186569820609533,"score_spread":0.19636387544938472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003358461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9605682,0.00021311645,0.00467915,0.00026340495,0.00041855715,0.00011502864,0.000019395091,0.000007595139,0.033715554],"genre_scores_gemma":[0.9429169,0.055086613,0.0015148512,0.000077578734,0.00020691709,9.0020956e-7,0.0000025839945,0.000021346163,0.00017229423],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9987799,0.000015796637,0.00080707384,0.00014136788,0.00001569972,0.00024014596],"domain_scores_gemma":[0.99869543,0.00017585472,0.0008937859,0.0001365713,0.000026033733,0.00007231043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020624986,0.00013339848,0.00031758205,0.00016060314,0.00020983045,0.00008488745,0.000119116834,0.00007302458,0.000025884203],"category_scores_gemma":[0.000029407895,0.0001282014,0.00005590579,0.000063059415,0.00011820643,0.0004740387,0.000045239758,0.00018359395,0.00000994904],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087856135,0.00009699897,0.4515965,0.00005956509,0.00015633379,0.000017081778,0.00838725,0.0033834283,0.00003058071,0.018336406,0.0017586498,0.51529866],"study_design_scores_gemma":[0.0037289918,0.0006878788,0.7838491,0.00009823166,0.00012322744,0.00044154242,0.002537859,0.07024802,0.00018279669,0.029934585,0.10715571,0.001012061],"about_ca_topic_score_codex":0.0003804881,"about_ca_topic_score_gemma":0.00036570395,"teacher_disagreement_score":0.5142866,"about_ca_system_score_codex":0.000104532926,"about_ca_system_score_gemma":0.0000320204,"threshold_uncertainty_score":0.52279013},"labels":[],"label_agreement":null},{"id":"W2005996603","doi":"10.1080/09603107.2011.605752","title":"Extreme risk measures for REITs: a comparison among alternative methods","year":2011,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Econometrics; Value at risk; Autoregressive conditional heteroskedasticity; Real estate investment trust; Extreme value theory; Volatility (finance); Economics; Expected shortfall; Exponential smoothing; Nonparametric statistics; Autoregressive model; Financial economics; Real estate; Actuarial science; Risk management; Statistics; Mathematics; Finance","score_opus":0.1156668148138413,"score_gpt":0.26546522820112695,"score_spread":0.14979841338728564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005996603","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29656577,0.000266483,0.35500982,0.000035873287,0.0020151816,0.0010393272,0.00036324625,0.0001401514,0.34456414],"genre_scores_gemma":[0.8946652,0.0009819311,0.10285095,0.00022983146,0.0005610627,0.00034871433,0.000038547845,0.00011877283,0.00020498825],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99685216,0.000030259629,0.0014663182,0.00094229163,0.000019187108,0.0006897615],"domain_scores_gemma":[0.9975599,0.00022402154,0.0013659041,0.000615905,0.00004555794,0.00018873067],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021494776,0.00041074946,0.0011028642,0.00029768373,0.0003263122,0.0001080398,0.0005966853,0.0003602597,0.00017204203],"category_scores_gemma":[0.00035918332,0.0005473344,0.000329166,0.00013999741,0.00019792024,0.00032819883,0.00013286303,0.00035310775,0.0003294665],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037187288,0.00019240675,0.04370323,0.00002361586,0.00015065177,7.072809e-7,0.0029034307,0.00052275916,0.000008621183,0.8208585,0.0011889527,0.13007529],"study_design_scores_gemma":[0.0022916433,0.00017882908,0.030472891,0.000013297433,0.00006305694,0.0000017596556,0.00025635233,0.025801096,0.0016409997,0.70702,0.2308916,0.0013684826],"about_ca_topic_score_codex":0.0006943816,"about_ca_topic_score_gemma":0.0005163701,"teacher_disagreement_score":0.5980994,"about_ca_system_score_codex":0.00028582447,"about_ca_system_score_gemma":0.00007317989,"threshold_uncertainty_score":0.9996978},"labels":[],"label_agreement":null},{"id":"W2007061665","doi":"10.1002/bref.103","title":"Structuring European real estate private equity funds","year":2004,"lang":"en","type":"article","venue":"Briefings in Real Estate Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Private equity; Private equity fund; Real estate; Private equity firm; Private equity secondary market; Club deal; Finance; Business; Structuring; Real estate investment trust; Real estate development; Equity capital markets; Private investment in public equity; Corporate Real Estate","score_opus":0.03712132330013925,"score_gpt":0.24629863065321578,"score_spread":0.20917730735307652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007061665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60928607,0.000016044094,0.000329995,0.00029000576,0.0002855246,0.00013740668,0.000057551904,0.00010021906,0.3894972],"genre_scores_gemma":[0.9489169,0.046151128,0.0041526305,0.00020345821,0.00013022398,0.000014241043,0.00003458172,0.00010879061,0.00028801317],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99693674,0.000030614636,0.001149648,0.00088248024,0.00006139289,0.00093909627],"domain_scores_gemma":[0.9985917,0.000046446265,0.00061962253,0.00059333065,0.00002421976,0.00012463401],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011854548,0.00036459122,0.00062077877,0.0002664397,0.00020145491,0.0002190709,0.00058220414,0.00012304589,0.000038018956],"category_scores_gemma":[0.00010116622,0.0004845292,0.00013385907,0.00038354108,0.00016985291,0.00058388576,0.00039612013,0.00040299847,0.00037478836],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027520696,0.0002946566,0.07167433,0.0002992941,0.00005879118,0.0006462721,0.007427631,0.038272023,0.00017338946,0.17679645,0.00036622788,0.70371574],"study_design_scores_gemma":[0.0042977245,0.00022868857,0.7201718,0.0002444143,0.000010879497,0.0000659391,0.00008781141,0.0026618869,0.00042146293,0.08631088,0.18361694,0.0018815645],"about_ca_topic_score_codex":0.014890014,"about_ca_topic_score_gemma":0.0012487454,"teacher_disagreement_score":0.70183414,"about_ca_system_score_codex":0.0005520496,"about_ca_system_score_gemma":0.00006911857,"threshold_uncertainty_score":0.9997606},"labels":[],"label_agreement":null},{"id":"W2007602111","doi":"10.1177/0002716209344172","title":"The New Urbanity: The Rise of a New America","year":2009,"lang":"en","type":"article","venue":"The Annals of the American Academy of Political and Social Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Urbanity; Baby boom; Boom; Oil boom; Quarter (Canadian coin); Metropolitan area; Population; Baby boomers; Geography; Demographic economics; Economic growth; Economy; Economics; Socioeconomics; Demography; Sociology; Engineering; Archaeology","score_opus":0.08133107607014511,"score_gpt":0.3284992578997731,"score_spread":0.24716818182962796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007602111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6716393,0.0006512419,0.000074487405,0.29558757,0.00007453607,0.00015367946,0.000025289948,0.000008143248,0.031785727],"genre_scores_gemma":[0.9929276,0.00056544464,0.000045179855,0.005791793,0.00017819485,7.168392e-7,5.1631265e-8,0.0000047251997,0.00048629002],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987102,0.00005405837,0.00046784294,0.00018093095,0.00010805706,0.0004789204],"domain_scores_gemma":[0.998697,0.0002837803,0.0006556295,0.0002143407,0.000024953895,0.00012432491],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0013363713,0.00010287972,0.00036889492,0.00004193,0.00054833514,0.000047595848,0.0012830874,0.000033141623,0.0000117853115],"category_scores_gemma":[0.00037248534,0.00005333215,0.00016970062,0.0005480722,0.0059181233,0.00010807955,0.0001945347,0.00021783673,0.0000061911283],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036043606,0.00002250464,0.0009031974,0.000002772579,0.000015473042,2.429574e-8,0.0011432362,0.0000032787693,0.00008270746,0.95375794,0.0040862695,0.039946575],"study_design_scores_gemma":[0.00014904742,0.00014268846,0.19729954,0.0000109032735,0.000017215933,0.0000018421937,0.0011665872,0.00043180722,0.0009937261,0.72812325,0.071507454,0.00015593825],"about_ca_topic_score_codex":0.0018450697,"about_ca_topic_score_gemma":0.000004429859,"teacher_disagreement_score":0.3212883,"about_ca_system_score_codex":0.000019206778,"about_ca_system_score_gemma":0.00010668052,"threshold_uncertainty_score":0.9967872},"labels":[],"label_agreement":null},{"id":"W2007736900","doi":"10.1142/s0219091506000793","title":"Canadian REITs and Stock Prices: Fractional Cointegration and Long Memory","year":2006,"lang":"en","type":"article","venue":"Review of Pacific Basin Financial Markets and Policies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Cointegration; Diversification (marketing strategy); Economics; Portfolio; Financial economics; Real estate investment trust; Econometrics; Stock (firearms); Statistic; Long memory; Real estate; Rescaled range; Business; Mathematics; Statistics; Finance; Volatility (finance); Geography","score_opus":0.012224290505482993,"score_gpt":0.20933282800101397,"score_spread":0.19710853749553098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007736900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43827772,0.18285753,0.0003442395,0.004983035,0.00053292717,0.0007157868,0.00048017636,0.000028454753,0.37178013],"genre_scores_gemma":[0.8095014,0.18846475,0.00031793435,0.0004881204,0.00021616508,0.0000140621005,0.000037416317,0.000019673918,0.0009404788],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989582,0.00002215344,0.0005213911,0.00025031852,0.000026451075,0.00022151183],"domain_scores_gemma":[0.9993648,0.00007808082,0.00028753182,0.00013369048,0.000034958324,0.00010095399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007089824,0.00015477698,0.00047578232,0.0001849422,0.00016281252,0.000063195715,0.000053468917,0.00009712224,0.000097740005],"category_scores_gemma":[0.00015750705,0.00016368013,0.000051646723,0.00012328611,0.00012067891,0.00019693344,0.000024731706,0.00010002455,0.0000067852443],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007639957,0.000100768586,0.3798627,0.008821131,0.000056135625,0.000011917111,0.00067663117,0.0000024605051,0.000011738152,0.44435993,0.04093456,0.12508564],"study_design_scores_gemma":[0.00022950984,0.000036788304,0.54695874,0.0009491171,0.000017885264,0.000039942723,0.00004082765,0.00014796702,0.0000050065514,0.0054738615,0.44582188,0.0002784859],"about_ca_topic_score_codex":0.02910158,"about_ca_topic_score_gemma":0.015175934,"teacher_disagreement_score":0.43888605,"about_ca_system_score_codex":0.00006647884,"about_ca_system_score_gemma":0.00008330742,"threshold_uncertainty_score":0.9773637},"labels":[],"label_agreement":null},{"id":"W2008007961","doi":"10.1108/ijhma-04-2014-0010","title":"ARIMA modelling of Lithuanian house price index","year":2015,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre","funders":"","keywords":"Autoregressive integrated moving average; Real estate; House price; Context (archaeology); Economics; Originality; Lithuanian; Government (linguistics); Market price; Value (mathematics); Inflation (cosmology); Business; Finance; Econometrics; Computer science; Time series","score_opus":0.04481458948433286,"score_gpt":0.2345915674346001,"score_spread":0.18977697795026724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008007961","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8321358,0.00068333186,0.15284024,0.00037905955,0.00048517605,0.000026491369,0.000017389959,0.000010962936,0.013421526],"genre_scores_gemma":[0.9944938,0.000830911,0.00431493,0.00007100844,0.00018612163,3.044511e-7,0.0000023748103,0.000020385993,0.00008017423],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99859786,0.000023131948,0.000952062,0.00017167341,0.000112086884,0.00014316985],"domain_scores_gemma":[0.9981935,0.000066212866,0.0011657871,0.00013098537,0.000309481,0.00013405764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014310717,0.00011784156,0.0005235067,0.0012858111,0.000034528053,0.00014442237,0.00029009682,0.00006805609,0.00006124616],"category_scores_gemma":[0.00013005227,0.00012240597,0.00026248532,0.00037057823,0.000059491864,0.00036625052,0.0000690578,0.0001347851,0.0000050249564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005874959,0.0002897019,0.85661477,0.000025433985,0.004611943,0.00006611876,0.0015297224,0.11424372,0.000016586135,0.006815255,0.00040100198,0.01479827],"study_design_scores_gemma":[0.0025659862,0.00015754026,0.042855125,0.0001257626,0.00048215015,0.000087844484,0.00057214324,0.9003061,0.00007153454,0.03149036,0.020688042,0.00059740205],"about_ca_topic_score_codex":0.00019162755,"about_ca_topic_score_gemma":0.000016205431,"teacher_disagreement_score":0.8137596,"about_ca_system_score_codex":0.00011547529,"about_ca_system_score_gemma":0.00005355951,"threshold_uncertainty_score":0.49915704},"labels":[],"label_agreement":null},{"id":"W2008645995","doi":"10.5539/res.v6n1p23","title":"Housing Tenure Choice and Housing Expenditures in the Czech Republic","year":2014,"lang":"en","type":"article","venue":"Review of European Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Housing tenure; Residence; Czech; Probit model; Economics; Marital status; Demographic economics; Probit; Sample (material); Ordered probit; Household income; Labour economics; Econometric model; Econometrics; Geography; Demography; Sociology","score_opus":0.06980693348902701,"score_gpt":0.27890240128159044,"score_spread":0.20909546779256344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008645995","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21090648,0.5166881,0.00009293032,0.0025713404,0.0003817196,0.00038071343,0.000009905379,0.00004106299,0.26892775],"genre_scores_gemma":[0.7094619,0.28853554,0.00025407923,0.0014664248,0.00020853506,0.0000045962047,0.0000022160384,0.00002597708,0.00004068818],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986367,0.00016793521,0.0006835218,0.00028668236,0.000029306682,0.00019585846],"domain_scores_gemma":[0.9989401,0.00024092532,0.0004148303,0.00035774594,0.000022599133,0.000023793344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035198242,0.00014705,0.0005958547,0.00010863596,0.00011758606,0.00005198204,0.00019306151,0.000020178204,0.000012400486],"category_scores_gemma":[0.0009962721,0.0001167448,0.00008218806,0.00013916675,0.00010715548,0.00015499606,0.00013791965,0.00012734515,0.000033887798],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023257775,0.00036405437,0.34171206,0.029435072,0.00057275646,0.00004115584,0.009480664,0.000056857138,0.000025274107,0.114867516,0.06058579,0.44283554],"study_design_scores_gemma":[0.00043558076,0.000068907684,0.102142885,0.00417172,0.000035996607,0.000011941055,0.0005632022,0.00010165988,0.000004159409,0.0020487506,0.89002556,0.00038962014],"about_ca_topic_score_codex":0.000024639674,"about_ca_topic_score_gemma":0.00002472599,"teacher_disagreement_score":0.8294398,"about_ca_system_score_codex":0.000026257394,"about_ca_system_score_gemma":0.0000040229847,"threshold_uncertainty_score":0.47607148},"labels":[],"label_agreement":null},{"id":"W2011035804","doi":"10.5539/ijef.v2n2p62","title":"Empirical Investigation on the Performance of the Malaysian Real Estate Investment Trusts in Pre-Crisis, During Crisis and Post-Crisis Period","year":2010,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate investment trust; Treynor ratio; Financial crisis; Index (typography); Portfolio; Real estate; Business; Investment (military); Investment portfolio; Financial economics; Capitalization rate; Economics; Financial system; Actuarial science; Sharpe ratio; Finance","score_opus":0.016945331802145962,"score_gpt":0.22046413047411617,"score_spread":0.2035187986719702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011035804","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98792297,0.00004988973,9.576659e-7,0.010041667,0.0007084441,0.000094537034,0.000040881245,0.0000017447779,0.0011388852],"genre_scores_gemma":[0.98809576,0.010822185,0.0002254548,0.00068745966,0.00012353872,0.000005048034,0.0000016028,0.000014239276,0.000024703844],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987577,0.000019045476,0.00082163856,0.00021446422,0.000035577264,0.00015155734],"domain_scores_gemma":[0.99879783,0.000056405697,0.00084004947,0.00019487804,0.00006519662,0.000045639717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006691731,0.00013706886,0.00028859492,0.00019800552,0.000084926054,0.00010718532,0.00036628323,0.000082093495,0.000017680864],"category_scores_gemma":[0.00006007358,0.000111667876,0.000090074136,0.00006576304,0.000114350034,0.00032586834,0.00010313311,0.00032766946,0.0000031199047],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053676544,0.00017021678,0.9177073,0.00004072267,0.00017367744,0.000008511829,0.008818303,0.007856283,0.0002200699,0.06001668,0.00061726867,0.0038341992],"study_design_scores_gemma":[0.00086206465,0.00012906238,0.97033125,0.000043046362,0.000008325868,0.00007846371,0.00041327308,0.013491235,0.00091428286,0.010064831,0.003461982,0.00020218267],"about_ca_topic_score_codex":0.00025849298,"about_ca_topic_score_gemma":0.0002239256,"teacher_disagreement_score":0.05262395,"about_ca_system_score_codex":0.00009574182,"about_ca_system_score_gemma":0.000054878,"threshold_uncertainty_score":0.45536837},"labels":[],"label_agreement":null},{"id":"W2012406595","doi":"10.1108/10222529200400007","title":"Value‐added tax on new residential properties: A comparative study regarding developers registered for VAT purposes","year":2004,"lang":"en","type":"article","venue":"Meditari Accountancy Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Value-added tax; Value (mathematics); Public economics; Accounting; Economics; Computer science","score_opus":0.3153541146518043,"score_gpt":0.36803747749070764,"score_spread":0.05268336283890335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012406595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9250211,0.0006954624,0.0010173036,0.0034745364,0.0021263785,0.0037099503,0.00007672102,0.000108450586,0.063770086],"genre_scores_gemma":[0.9926761,0.00015103898,0.0013748227,0.00013428145,0.0011597244,0.00037045992,0.000024091747,0.00007933077,0.0040301867],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.996561,0.000088464265,0.0010008167,0.0010532407,0.00027966537,0.0010168294],"domain_scores_gemma":[0.9981498,0.00026931352,0.00028767425,0.00079991866,0.0002503676,0.00024293835],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0038462286,0.00032714845,0.00080963474,0.00076455495,0.00074906735,0.0005697087,0.00085061364,0.00018302372,0.00019038709],"category_scores_gemma":[0.0013612689,0.00033513692,0.00016164049,0.0006182517,0.00022981867,0.00068729057,0.00020765961,0.00060005666,0.0007952633],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.016082786,0.006286545,0.06614049,0.0011448447,0.002946437,0.0003176143,0.15653238,0.0067292196,0.00090872997,0.3060947,0.42530975,0.0115065025],"study_design_scores_gemma":[0.047627304,0.009523202,0.030114593,0.0018418604,0.00013268758,0.000052634477,0.05850328,0.0037862365,0.006248037,0.41695803,0.419884,0.0053281463],"about_ca_topic_score_codex":0.0037427607,"about_ca_topic_score_gemma":0.0039072363,"teacher_disagreement_score":0.11086331,"about_ca_system_score_codex":0.0012426922,"about_ca_system_score_gemma":0.00057949155,"threshold_uncertainty_score":0.9999827},"labels":[],"label_agreement":null},{"id":"W2013919177","doi":"10.3138/cpp.33.4.441","title":"Local Willingness-to-Pay Estimates for the Remediation of the Sydney Tar Ponds in Nova Scotia","year":2007,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Nova scotia; Willingness to pay; Environmental science; Residential property; tar (computing); Environmental remediation; Property value; Hedonic pricing; Hazardous waste; Geography; Economics; Waste management; Engineering; Archaeology; Contamination; Econometrics; Ecology","score_opus":0.02881344786962249,"score_gpt":0.23935266924041396,"score_spread":0.21053922137079145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013919177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81811243,0.00042250787,0.025111986,0.08632089,0.0030958424,0.0014271544,0.00073590764,0.00003916844,0.06473412],"genre_scores_gemma":[0.99714005,0.000012859242,0.00020520021,0.00215095,0.00027550035,0.000008041389,0.00001405506,0.000024967045,0.00016840197],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986946,0.000006097552,0.0004942156,0.00021132629,0.000023822065,0.0005699662],"domain_scores_gemma":[0.998964,0.0001775168,0.00018284326,0.00036834067,0.000042897784,0.00026441892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013554125,0.000113013804,0.00021727562,0.00059461663,0.00012313324,0.000077643796,0.0004545164,0.00011057412,0.00008557791],"category_scores_gemma":[0.0011934654,0.000090223184,0.00008208465,0.0007530649,0.000107220454,0.0001569687,0.000033607914,0.00012186714,0.00006311119],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015427475,0.00002503146,0.5353899,0.0000377434,0.000038277005,0.0000010819238,0.00083725114,0.0007990631,0.00000931549,0.43499836,0.0053386427,0.022509914],"study_design_scores_gemma":[0.000744853,0.000044393706,0.6469094,0.000027783572,0.000008863457,0.0000059918134,0.0001358666,0.023778412,0.00016067736,0.029278504,0.29848322,0.00042204792],"about_ca_topic_score_codex":0.28994814,"about_ca_topic_score_gemma":0.7214341,"teacher_disagreement_score":0.431486,"about_ca_system_score_codex":0.00082156394,"about_ca_system_score_gemma":0.0008253273,"threshold_uncertainty_score":0.71478015},"labels":[],"label_agreement":null},{"id":"W2014510281","doi":"10.1080/14616710802256686","title":"Projecting Demand for Rental Homes in Denmark","year":2008,"lang":"en","type":"article","venue":"International Journal of Housing Policy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Realdania","keywords":"Danish; Renting; Per capita; Economics; Rental housing; Quarter (Canadian coin); Demographic economics; Labour economics; Geography; Political science; Demography","score_opus":0.045405892842130924,"score_gpt":0.2867767739121177,"score_spread":0.24137088106998678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014510281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9831865,0.00021905704,0.002339684,0.0011042529,0.0011684729,0.00007519369,0.000018408262,0.000006693923,0.011881759],"genre_scores_gemma":[0.99503386,0.0004736766,0.002890518,0.00020119274,0.0012299556,0.0000022057036,0.0000022023817,0.000021196285,0.00014516877],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988876,0.000009334764,0.00074238767,0.00012583473,0.000045860957,0.00018899774],"domain_scores_gemma":[0.99909955,0.000084945714,0.0006158795,0.00006735894,0.00008536956,0.000046912788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005632004,0.00009140538,0.00026853767,0.0008437188,0.0000651868,0.000063027495,0.00026857966,0.000054582073,0.000028978871],"category_scores_gemma":[0.00042201258,0.00010508422,0.000147864,0.00011678368,0.000041869094,0.00032984724,0.000038171693,0.00012240376,0.000018670678],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005893531,0.00037902998,0.9376603,0.000037151432,0.00030747085,0.00016711338,0.004590288,0.0030739468,0.0001945229,0.026735887,0.0032053138,0.023059662],"study_design_scores_gemma":[0.023665648,0.0011017689,0.50313646,0.00092286704,0.000044876982,0.005938761,0.0015355975,0.026045263,0.003111127,0.22159638,0.21035817,0.0025430762],"about_ca_topic_score_codex":0.0002323596,"about_ca_topic_score_gemma":0.000051966294,"teacher_disagreement_score":0.4345238,"about_ca_system_score_codex":0.00039276434,"about_ca_system_score_gemma":0.00012285833,"threshold_uncertainty_score":0.428521},"labels":[],"label_agreement":null},{"id":"W2015004648","doi":"10.22004/ag.econ.273609","title":"The Economic Opportunity Cost of Capital for Canada - An Empirical Update","year":2007,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Opportunity cost; Net present value; Present value; Investment (military); Economic cost; Estimation; Economic impact analysis; Social discount rate; Value (mathematics); Discounting; Cost of capital; Interest rate; Cost–benefit analysis; Public economics; Macroeconomics; Microeconomics; Finance; Production (economics)","score_opus":0.08019501601175086,"score_gpt":0.2652244861455878,"score_spread":0.18502947013383694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015004648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98044,0.00017878652,0.0011344315,0.0013991733,0.0008787886,0.0006701797,0.0032914274,0.000013638684,0.0119935665],"genre_scores_gemma":[0.99453026,0.0021605473,0.0011006965,0.000110393084,0.0001441479,0.0000026239811,0.00042300997,0.000045339293,0.0014829998],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979017,0.000059990478,0.00070216553,0.0006629546,0.000072648836,0.0006005485],"domain_scores_gemma":[0.99731624,0.00039917696,0.000868673,0.0009041161,0.0001300666,0.0003817382],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023086036,0.00027930204,0.00086970994,0.0002818479,0.00038761177,0.000061866456,0.001240042,0.00034715552,0.0010344794],"category_scores_gemma":[0.00008176128,0.00036540156,0.0003143028,0.00007562662,0.00043426047,0.00027872797,0.0006349716,0.00049269863,0.0000781791],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0039233626,0.0012917431,0.36874714,0.0030179657,0.004098011,0.00028904175,0.01929833,0.019369619,0.000038454695,0.14294331,0.25157568,0.18540733],"study_design_scores_gemma":[0.0037090692,0.0005357189,0.09645556,0.00010323686,0.00014809206,0.000015374555,0.0138887195,0.08396749,0.00015135264,0.019402914,0.77940726,0.0022152336],"about_ca_topic_score_codex":0.4514242,"about_ca_topic_score_gemma":0.78775287,"teacher_disagreement_score":0.52783155,"about_ca_system_score_codex":0.0010877007,"about_ca_system_score_gemma":0.001886143,"threshold_uncertainty_score":0.9998798},"labels":[],"label_agreement":null},{"id":"W2015046358","doi":"10.1007/s11146-014-9461-4","title":"Differential Impacts of Structural and Cyclical Unemployment on Mortgage Default and Prepayment","year":2014,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Prepayment of loan; Unemployment; Economics; Recession; Quarter (Canadian coin); Loan; Unemployment rate; Sample (material); Mortgage underwriting; Monetary economics; Incentive; Labour economics; Mortgage insurance; Finance; Macroeconomics","score_opus":0.013448991274300031,"score_gpt":0.2166208406361745,"score_spread":0.2031718493618745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015046358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995911,0.00013991204,0.000062165556,0.00037020375,0.00020767204,0.000091224945,0.00003323125,0.0000036695835,0.0031808969],"genre_scores_gemma":[0.952097,0.0475293,0.00017034356,0.000057318208,0.00009131224,8.8952794e-7,0.00000177819,0.00001666528,0.000035386965],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988116,0.00002614017,0.0007478519,0.00017369135,0.00002065659,0.0002200511],"domain_scores_gemma":[0.99873334,0.00014799628,0.00082360505,0.00018053938,0.000016999653,0.000097531134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006351421,0.00016605316,0.00052184315,0.000098971024,0.000103428276,0.000056729026,0.0001301697,0.000068243644,0.000010889357],"category_scores_gemma":[0.000033013723,0.0001347059,0.00006215657,0.000028236314,0.00016963462,0.0001978629,0.00007894123,0.00016889766,0.0000024250678],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033706522,0.0002690124,0.46378645,0.000375001,0.00055526063,0.000010463452,0.010331515,0.0081275385,0.00026758268,0.11232807,0.00047233058,0.40010613],"study_design_scores_gemma":[0.0055006146,0.003059866,0.8297081,0.00018419028,0.00013504158,0.00032312897,0.0004777251,0.08304202,0.0009480184,0.06392446,0.011769014,0.0009278049],"about_ca_topic_score_codex":0.00020092916,"about_ca_topic_score_gemma":0.00008963217,"teacher_disagreement_score":0.39917833,"about_ca_system_score_codex":0.000050929557,"about_ca_system_score_gemma":0.000016408525,"threshold_uncertainty_score":0.54931474},"labels":[],"label_agreement":null},{"id":"W2015242007","doi":"10.1080/09654310601016788","title":"Revitalisation of the Main Street of a Distinguished Old Neighbourhood in Istanbul","year":2006,"lang":"en","type":"article","venue":"European Planning Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Restructuring; Disinvestment; Redevelopment; Economic geography; Quarter (Canadian coin); Geography; Economy; Political science; Business; Foreign direct investment; Economics; Archaeology; Finance","score_opus":0.039491696795273486,"score_gpt":0.23374305519439773,"score_spread":0.19425135839912425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015242007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8124515,0.0012305408,0.000035559537,0.00008752961,0.00019777303,0.000074869684,0.000050518673,0.000010158468,0.18586157],"genre_scores_gemma":[0.99924636,0.00006558281,0.00019162573,0.000027027421,0.00008388701,0.000001345454,0.000005323051,0.000017118718,0.00036171253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894464,0.000046806403,0.00066529284,0.00017690854,0.000022689701,0.00014366825],"domain_scores_gemma":[0.99916774,0.00009037738,0.00050097867,0.00021159426,0.000019805748,0.000009476661],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082708366,0.000098493976,0.00032925408,0.000094372735,0.00005470562,0.0000130458475,0.0001627401,0.000017536651,0.000010009626],"category_scores_gemma":[0.00039935356,0.000091167385,0.00006953856,0.00015892011,0.000089885885,0.000053634547,0.000095288706,0.00007235092,0.000007469622],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012192268,0.00004371311,0.9659133,0.00008738544,0.000033445238,0.000004808645,0.0025068114,0.0010833626,0.000028232653,0.028297622,0.0017396918,0.00024941188],"study_design_scores_gemma":[0.0004324228,0.000030066325,0.98938614,0.0002413498,0.00000737424,6.843581e-7,0.00096357166,0.00022429944,0.00007156356,0.006518932,0.0019687782,0.00015482787],"about_ca_topic_score_codex":0.00019380556,"about_ca_topic_score_gemma":0.00010841978,"teacher_disagreement_score":0.1867949,"about_ca_system_score_codex":0.00005435762,"about_ca_system_score_gemma":0.000005338744,"threshold_uncertainty_score":0.3717698},"labels":[],"label_agreement":null},{"id":"W2016298288","doi":"10.1007/s00168-009-0310-y","title":"An empirical analysis of household choices on housing and travel mode in Boston","year":2009,"lang":"en","type":"article","venue":"The Annals of Regional Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Elevator; Mode (computer interface); Wright; Mode choice; Estimation; Logistic regression; Travel behavior; Demographic economics; Economics; Econometrics; Transport engineering; Engineering; Computer science; Statistics; Mathematics; Public transport; Management","score_opus":0.1913205008285663,"score_gpt":0.35157494381714666,"score_spread":0.16025444298858035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016298288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99293256,0.00014319141,0.00010220518,0.0021451118,0.000020265612,0.000044093827,0.000016382906,0.00000463331,0.0045915665],"genre_scores_gemma":[0.9984885,0.0004941136,0.00013548623,0.000849791,0.000017011695,5.7893277e-7,0.0000015702605,0.0000033949088,0.000009564193],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911666,0.000013332909,0.00034056394,0.00026764077,0.00006417713,0.00019761185],"domain_scores_gemma":[0.99933,0.00006885,0.00025101972,0.000266099,0.000023819322,0.00006020572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001337665,0.000075946715,0.000310232,0.0005734617,0.000082821505,0.000035650395,0.00035306424,0.000035537847,0.0000050044964],"category_scores_gemma":[0.00004710292,0.00006541973,0.000071706694,0.0009891583,0.00037648657,0.00027854228,0.000020161835,0.00006817236,0.0000012915032],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042783533,0.0009892411,0.64827263,0.000023278602,0.00014453747,0.0000033697638,0.005650045,0.11224487,0.0028755318,0.19837843,0.00037968328,0.030610569],"study_design_scores_gemma":[0.00011288808,0.00014285122,0.9136833,0.000012589399,0.000009264752,5.6531013e-7,0.000069625166,0.067852974,0.00048268767,0.01729496,0.00023002454,0.00010827532],"about_ca_topic_score_codex":0.00032674236,"about_ca_topic_score_gemma":0.00010587363,"teacher_disagreement_score":0.2654107,"about_ca_system_score_codex":0.000018222434,"about_ca_system_score_gemma":0.000027369528,"threshold_uncertainty_score":0.2667739},"labels":[],"label_agreement":null},{"id":"W2018669905","doi":"10.3141/2174-16","title":"Hedonic Analysis of Office Space Rent","year":2010,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"University of Toronto","keywords":"Central business district; Space (punctuation); Cluster analysis; Transport engineering; Quality (philosophy); Variation (astronomy); Econometrics; Economic rent; Hedonic pricing; Business; Economics; Environmental economics; Economic geography; Computer science; Microeconomics; Statistics; Engineering; Mathematics","score_opus":0.08526907921537684,"score_gpt":0.3391635971979545,"score_spread":0.25389451798257767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018669905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920641,0.00015155147,0.0010696847,0.0020926022,0.00085194194,0.00039817605,0.00016065524,0.000013181279,0.003198089],"genre_scores_gemma":[0.9963069,0.0012278073,0.0015900788,0.000022672051,0.00013742117,0.000017407077,0.000022105618,0.00004126325,0.0006343443],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957425,0.00026760082,0.002115179,0.00042352005,0.0007436628,0.0007075475],"domain_scores_gemma":[0.995573,0.00079522975,0.0011012141,0.0007005204,0.0015243238,0.00030574508],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007849535,0.00019718068,0.00082807266,0.0026448912,0.00034097882,0.0001104582,0.0011471965,0.0002253076,0.0015168319],"category_scores_gemma":[0.00033735874,0.00017792803,0.00080522744,0.0038686856,0.00058673864,0.00049596047,0.000009139157,0.002177912,0.00005875759],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009649623,0.00040058506,0.91676724,0.00015992663,0.0010814028,0.000023583252,0.0024073476,0.0031212203,0.00264456,0.06715521,0.0025165654,0.002757382],"study_design_scores_gemma":[0.00082428876,0.00023483814,0.96164167,0.000052972006,0.0001301194,1.9165857e-7,0.00049615465,0.000993327,0.0006258357,0.0074194283,0.027394526,0.00018666095],"about_ca_topic_score_codex":0.012070098,"about_ca_topic_score_gemma":0.08005297,"teacher_disagreement_score":0.067982875,"about_ca_system_score_codex":0.00015491374,"about_ca_system_score_gemma":0.0003110749,"threshold_uncertainty_score":0.9993959},"labels":[],"label_agreement":null},{"id":"W2019931753","doi":"10.5430/ijba.v1n1p19","title":"Ripple Effect of Housing Prices among Chinese Deputy Provincial Cities Based on an Alternative Approach","year":2010,"lang":"en","type":"article","venue":"International Journal of Business Administration","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; National Science Foundation","keywords":"Beijing; Ripple; Economics; Economic geography; Business; China; Geography; Engineering","score_opus":0.013037960033740133,"score_gpt":0.24310407578347987,"score_spread":0.23006611574973973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019931753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9739707,0.0000074693826,0.015099044,0.00013285912,0.0020531004,0.00012961782,0.00005653398,0.000010932967,0.008539758],"genre_scores_gemma":[0.996581,0.000010830892,0.0022674443,0.000033784818,0.0010196139,0.000005378625,0.000049614195,0.000021345199,0.000010944962],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986913,0.00002771596,0.00081454427,0.00019893545,0.00014294437,0.00012454818],"domain_scores_gemma":[0.99779886,0.00012033983,0.0015172989,0.00014952663,0.0003467794,0.000067191824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009795066,0.00016772155,0.0003764437,0.0004452717,0.000059578884,0.00018941048,0.00039823927,0.00010384974,0.00007099348],"category_scores_gemma":[0.00042263846,0.00015643923,0.00012566375,0.00014129737,0.000102068596,0.0008506441,0.000023021748,0.00023701452,0.000003834243],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002071576,0.00091488194,0.95658,0.000119470154,0.00018564385,0.000038820028,0.0005089465,0.017877249,0.0011925077,0.011135778,0.000039476086,0.009335659],"study_design_scores_gemma":[0.0038868324,0.0015405078,0.7588301,0.00012824088,0.00004012418,0.00008378327,0.00007887396,0.22013608,0.006697371,0.007503636,0.00047861697,0.0005958604],"about_ca_topic_score_codex":0.00014094239,"about_ca_topic_score_gemma":0.0001878085,"teacher_disagreement_score":0.20225883,"about_ca_system_score_codex":0.00008256469,"about_ca_system_score_gemma":0.00012743336,"threshold_uncertainty_score":0.6379407},"labels":[],"label_agreement":null},{"id":"W2022210002","doi":"10.3905/jsf.2014.20.3.046","title":"Alternative Capital Markets Solutions in Renewable Energy Finance","year":2014,"lang":"en","type":"article","venue":"The journal of structured finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Finance; Business; Taxable income; Renewable energy; Real estate investment trust; Project finance; Revenue bond; Debt; Bond; Economics; Real estate; Accounting","score_opus":0.013169240014227186,"score_gpt":0.18887499302826508,"score_spread":0.1757057530140379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022210002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88670444,0.0033935357,0.0568666,0.00067423756,0.002909969,0.00014177446,0.00007517531,0.000016658985,0.049217604],"genre_scores_gemma":[0.9954268,0.0020921065,0.0011616442,0.00020038302,0.0003403536,0.000003899656,0.0000024964982,0.000027319378,0.0007450155],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99823064,0.0000587466,0.0009644562,0.00024741972,0.000057286743,0.00044148267],"domain_scores_gemma":[0.99829614,0.00013975064,0.0010856536,0.00036547417,0.000065093394,0.00004788732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012227194,0.00020528681,0.0005262581,0.00024625825,0.00016741097,0.00005738371,0.00061812386,0.00012883599,0.000072084],"category_scores_gemma":[0.00009165761,0.00019217552,0.0001454967,0.0002731601,0.00013328371,0.00033460418,0.00008435531,0.00031849137,0.000021337819],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00114621,0.000352432,0.051659174,0.00008045351,0.00028180634,0.00008419992,0.004858259,0.36879942,0.0002896444,0.4601367,0.022928558,0.089383125],"study_design_scores_gemma":[0.0020875526,0.00020822501,0.085289866,0.000095199735,0.00001554968,0.00017282204,0.00009510277,0.060297728,0.00026113397,0.62379736,0.22707328,0.0006061883],"about_ca_topic_score_codex":0.001359459,"about_ca_topic_score_gemma":0.002072577,"teacher_disagreement_score":0.3085017,"about_ca_system_score_codex":0.00018774866,"about_ca_system_score_gemma":0.00005448935,"threshold_uncertainty_score":0.783669},"labels":[],"label_agreement":null},{"id":"W2022343723","doi":"10.1080/17538963.2010.562047","title":"A study of prepayment risks in China's mortgage-backed securitization","year":2010,"lang":"en","type":"article","venue":"China Economic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Simon Fraser University","keywords":"Prepayment of loan; Securitization; Tobit model; Loan; Mortgage underwriting; Economics; Debt; Business; Actuarial science; Finance; Mortgage insurance; Econometrics","score_opus":0.024871998034678162,"score_gpt":0.25075482028690943,"score_spread":0.22588282225223127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022343723","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.948312,0.000067790075,0.00008997833,0.00013557963,0.0017216419,0.00030985766,0.000025708427,0.000017721713,0.04931974],"genre_scores_gemma":[0.99902433,0.00025700498,0.0002207217,0.000019312814,0.00033887892,0.000013488513,0.0000066418106,0.0000400371,0.00007955872],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977428,0.000036396432,0.0014547881,0.00038112744,0.000027082171,0.00035786242],"domain_scores_gemma":[0.998446,0.000029348847,0.0009773383,0.00039631737,0.0000132792675,0.0001377375],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017047498,0.00021235309,0.00061218516,0.0004989463,0.00013987413,0.00015106918,0.00038624916,0.00013127096,0.00113164],"category_scores_gemma":[0.00007151296,0.00025674413,0.00014091437,0.00010154448,0.000054619817,0.0004845733,0.00008738012,0.0006846001,0.00013170332],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070895265,0.00071902375,0.9755578,0.00001722021,0.00008619007,0.000021988595,0.0066921115,0.0032219286,0.000031372852,0.01066956,0.00023412636,0.0026777936],"study_design_scores_gemma":[0.0034215476,0.00027322638,0.9400753,0.000018815917,0.000012930759,0.00012303262,0.0006811266,0.0109127285,0.000049707796,0.042896837,0.0011157912,0.00041897898],"about_ca_topic_score_codex":0.00088563166,"about_ca_topic_score_gemma":0.0013344688,"teacher_disagreement_score":0.050712373,"about_ca_system_score_codex":0.0002493782,"about_ca_system_score_gemma":0.000071646005,"threshold_uncertainty_score":0.9999885},"labels":[],"label_agreement":null},{"id":"W2022482116","doi":"10.1007/s11146-011-9347-7","title":"Commercial Property Rent Dynamics in U.S. Metropolitan Areas: An Examination of Office, Industrial, Flex and Retail Space","year":2011,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Renting; Metropolitan area; Quarter (Canadian coin); Business; Space (punctuation); Quality (philosophy); Debt; Property (philosophy); Industrial organization; Finance; Engineering; Computer science; Geography","score_opus":0.06579764024002903,"score_gpt":0.21994251321220298,"score_spread":0.15414487297217394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022482116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9610456,0.00014798711,0.00004183375,0.00017193778,0.00021326158,0.00013730944,0.000048107173,0.0000041617695,0.038189773],"genre_scores_gemma":[0.9360811,0.06324976,0.00045023847,0.00002308211,0.0000703723,0.0000015965165,0.0000060955654,0.000022712387,0.000095045034],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99840003,0.00006727832,0.0010679347,0.00019372256,0.00002223506,0.00024877014],"domain_scores_gemma":[0.99829596,0.00007728804,0.0012516342,0.0002443395,0.00004854735,0.00008221656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022329756,0.00017550864,0.0006152927,0.00027834417,0.00008343378,0.00003997554,0.00025173562,0.00013579964,0.00001913401],"category_scores_gemma":[0.00006149996,0.00014347787,0.000058478974,0.000119950215,0.00022023401,0.00065713254,0.00007050513,0.00028362885,0.0000032305215],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019686697,0.0004904535,0.3188224,0.000102987644,0.00013452633,0.000013295423,0.0108122425,0.00047507117,0.000008124371,0.08085456,0.00015183384,0.58616585],"study_design_scores_gemma":[0.00531668,0.0025692482,0.8982761,0.00021586487,0.00011245545,0.00019214772,0.011348284,0.05367489,0.00020655841,0.016831167,0.010189448,0.0010671578],"about_ca_topic_score_codex":0.0033787012,"about_ca_topic_score_gemma":0.003227403,"teacher_disagreement_score":0.5850987,"about_ca_system_score_codex":0.00037221622,"about_ca_system_score_gemma":0.00006359528,"threshold_uncertainty_score":0.58508575},"labels":[],"label_agreement":null},{"id":"W2022526194","doi":"10.2139/ssrn.2130142","title":"An Optimal Strategy for Maximizing the Expected Real-Estate Selling Price: Accept or Reject an Offer?","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Real estate; Business; Microeconomics; Actuarial science; Financial economics; Economics; Finance","score_opus":0.05293405622233272,"score_gpt":0.2795473571923587,"score_spread":0.22661330097002597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022526194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9567039,0.0007671748,0.02955323,0.00020345482,0.00054411223,0.00033959383,0.000021530557,0.00007634966,0.011790648],"genre_scores_gemma":[0.98009,0.01653605,0.0016217795,0.000054960874,0.0011854405,0.000024285095,0.000023089488,0.000088768866,0.0003755836],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9959012,0.00007054597,0.000744472,0.00035150137,0.000045994897,0.0028862774],"domain_scores_gemma":[0.99864066,0.000105427556,0.0005841815,0.00039838915,0.000052706866,0.00021862576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004600262,0.00026099558,0.0004188122,0.000194394,0.0006521036,0.00038244238,0.0005683304,0.00014446526,0.00018918666],"category_scores_gemma":[0.000064979446,0.0002195913,0.00016601518,0.00020228313,0.00004780229,0.0014233273,0.000029447614,0.0010384632,0.000042007174],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037195901,0.0014198527,0.036494628,0.000088621935,0.0012912797,0.000009815109,0.01577643,0.025445146,0.00048680737,0.50334257,0.00045227483,0.41147298],"study_design_scores_gemma":[0.015023053,0.012886281,0.028326577,0.00011846516,0.0004637429,0.0031650062,0.096556075,0.3345392,0.0012720181,0.382509,0.11778931,0.0073512727],"about_ca_topic_score_codex":0.0001656033,"about_ca_topic_score_gemma":0.00048733826,"teacher_disagreement_score":0.40412173,"about_ca_system_score_codex":0.00091780344,"about_ca_system_score_gemma":0.0005801871,"threshold_uncertainty_score":0.8954673},"labels":[],"label_agreement":null},{"id":"W2023445305","doi":"10.1007/s10287-014-0203-0","title":"Risk and reward of home equity borrowing for investment in Canada, a stochastic analysis","year":2014,"lang":"en","type":"article","venue":"Computational Management Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Economics; Volatility (finance); Equity (law); Stochastic game; Interest rate; Monetary economics; Actuarial science; Business; Financial economics; Microeconomics","score_opus":0.02193808457273074,"score_gpt":0.22853055006289535,"score_spread":0.2065924654901646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023445305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6006488,0.000032291773,0.39213327,0.00010616159,0.00011906077,0.00016116693,0.000029864985,0.0000042500506,0.0067651067],"genre_scores_gemma":[0.99046296,0.000009468488,0.009337109,0.00014675893,0.000007906569,0.0000116485135,0.00000566264,0.000003413205,0.000015088918],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911785,0.000006882267,0.00033895476,0.00030116897,0.00005601001,0.0001791153],"domain_scores_gemma":[0.9994905,0.00011356397,0.00020557584,0.0001181152,0.000019828192,0.0000524326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013567269,0.000062658575,0.00021002803,0.00048068888,0.000095147145,0.000042146516,0.00018963478,0.00000942378,0.00000729802],"category_scores_gemma":[0.00008585537,0.000077733246,0.000032109056,0.00059108256,0.00007622612,0.00013644272,0.00014235909,0.000027645647,0.0000019165977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000065001273,0.000015236203,0.1455774,0.000032228694,0.000038908707,1.867526e-7,0.00008616316,0.5679391,3.0555358e-7,0.28228578,0.000028905499,0.003989278],"study_design_scores_gemma":[0.00017836996,0.000009705592,0.34994382,0.0000040572154,0.000013146089,4.764347e-8,0.000029711062,0.54235214,3.5573134e-7,0.1073174,0.0000889113,0.000062363855],"about_ca_topic_score_codex":0.04793181,"about_ca_topic_score_gemma":0.05201878,"teacher_disagreement_score":0.3898141,"about_ca_system_score_codex":0.00030620967,"about_ca_system_score_gemma":0.00006335691,"threshold_uncertainty_score":0.9652794},"labels":[],"label_agreement":null},{"id":"W2023515542","doi":"10.1016/j.rfe.2013.05.006","title":"The spirit of capitalism among the income classes","year":2013,"lang":"en","type":"article","venue":"Review of Financial Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Capitalism; Consumption (sociology); Economics; Context (archaeology); Consumption function; Asset (computer security); Cointegration; Capital (architecture); Conspicuous consumption; Microeconomics; Neoclassical economics; Econometrics; Sociology; Law; Social science","score_opus":0.013315785248074126,"score_gpt":0.20264536128408397,"score_spread":0.18932957603600986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023515542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8479928,0.062001795,0.00006105127,0.0040248185,0.0011179447,0.0010359561,0.000098321994,0.000019475348,0.08364784],"genre_scores_gemma":[0.71852976,0.27997866,0.00018610437,0.0006873134,0.00019952763,0.00008319373,0.000007579779,0.000034790726,0.00029307778],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976604,0.00002998474,0.0016904562,0.00027499552,0.000022511982,0.0003216604],"domain_scores_gemma":[0.99737936,0.0002621421,0.0014605342,0.0007579723,0.00007654873,0.000063437765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014305988,0.00019905309,0.000830521,0.00006981107,0.00017877972,0.00006715906,0.0007421924,0.00011079821,0.00032079723],"category_scores_gemma":[0.0005157411,0.0001529451,0.00036697736,0.00015162613,0.00039379305,0.0003247781,0.00014484453,0.00017569975,0.0003406949],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010836123,0.000069249676,0.06696464,0.002186724,0.0000839897,4.1991856e-7,0.00019447936,0.00005435635,0.0000027638512,0.85274816,0.012145381,0.065538995],"study_design_scores_gemma":[0.0004003435,0.00009502762,0.22552267,0.0011102493,0.000034349265,0.000004846861,0.000050436945,0.0010722672,0.000071496936,0.087826476,0.6833006,0.00051125174],"about_ca_topic_score_codex":0.00071908196,"about_ca_topic_score_gemma":0.00024101917,"teacher_disagreement_score":0.76492167,"about_ca_system_score_codex":0.00009267897,"about_ca_system_score_gemma":0.0000952494,"threshold_uncertainty_score":0.62369204},"labels":[],"label_agreement":null},{"id":"W2023807491","doi":"10.5539/ijef.v5n12p183","title":"An Analysis of the LPCs’ Returns in the Middle East Markets: The Search for the Efficient Frontier","year":2013,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Econometrics; Stock (firearms); Real estate; Portfolio; Economics; Frontier; Equity (law); Efficient frontier; Financial economics; Finance; Geography","score_opus":0.03743628783849884,"score_gpt":0.22655585505692713,"score_spread":0.1891195672184283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023807491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98818064,0.0008400793,0.0006771009,0.0074540903,0.0008606955,0.00022033209,0.000100948695,7.898589e-7,0.0016653495],"genre_scores_gemma":[0.99699765,0.0021178895,0.00016749224,0.0003918181,0.00021217858,0.000015254332,0.0000027000906,0.000009765407,0.000085263215],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880946,0.000035335415,0.00078888424,0.00016383681,0.000039044953,0.00016343046],"domain_scores_gemma":[0.998474,0.00031911465,0.00074741023,0.00032603735,0.0001161631,0.000017274135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019142545,0.00010308222,0.0002915776,0.00018164737,0.00012569193,0.00022937334,0.0011514629,0.000051506082,0.000053471114],"category_scores_gemma":[0.000057515506,0.000057228044,0.0002700704,0.0001481912,0.00015417334,0.00018872578,0.00006953385,0.00018430733,0.000003974152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003207046,0.00037742054,0.15008005,0.0000129056125,0.0013326523,0.0000016964701,0.0075704264,0.40063298,0.000009961703,0.4238064,0.0014051108,0.014449706],"study_design_scores_gemma":[0.0005341186,0.000041707484,0.33649063,0.00001679666,0.000055879384,0.000011991927,0.0014788124,0.6278766,0.000015381274,0.013245279,0.020115433,0.000117384145],"about_ca_topic_score_codex":0.0003121709,"about_ca_topic_score_gemma":0.0002731561,"teacher_disagreement_score":0.4105611,"about_ca_system_score_codex":0.000090553316,"about_ca_system_score_gemma":0.000038658472,"threshold_uncertainty_score":0.23336919},"labels":[],"label_agreement":null},{"id":"W2024178854","doi":"10.1111/j.1744-7976.2006.00053.x","title":"A Hedonic Price Analysis of Farmland Option Premiums Under Urban Influences","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Valuation of options; Option value; Economics; Heteroscedasticity; Value (mathematics); Welfare economics; Financial economics; Econometrics; Microeconomics; Mathematics; Finance; Statistics; Incentive","score_opus":0.019317334901602437,"score_gpt":0.15917904146714737,"score_spread":0.13986170656554492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024178854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98207444,0.0009000687,0.00009644163,0.0009646384,0.001169238,0.00020499119,0.0004527605,0.000011038847,0.014126373],"genre_scores_gemma":[0.9979282,0.00020529886,0.00028322457,0.00017848393,0.0005972189,0.000007639193,0.00011573792,0.000033697583,0.00065049186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99606264,0.00003148509,0.002439421,0.00054566225,0.0000115677085,0.0009092143],"domain_scores_gemma":[0.9958124,0.00012805489,0.0025824546,0.00039868834,0.00018877276,0.00088962476],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00086488575,0.0004029594,0.0015190297,0.0016470111,0.0002099711,0.00024948473,0.0007228898,0.000269129,0.00055083627],"category_scores_gemma":[0.00007480779,0.00042169052,0.00076952984,0.00064246275,0.00017221921,0.00093941286,0.000030679,0.0003065476,0.000059857502],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007086209,0.00006978836,0.565067,0.000072832336,0.0024170796,0.000022025395,0.001551257,0.21516174,0.00005725381,0.21243954,0.0026317288,0.00043888815],"study_design_scores_gemma":[0.0010126507,0.0002620709,0.95045215,0.000051710504,0.00045175359,0.00011886121,0.00097443565,0.00270913,0.000054764085,0.020317199,0.02268046,0.0009148202],"about_ca_topic_score_codex":0.0773217,"about_ca_topic_score_gemma":0.67799467,"teacher_disagreement_score":0.60067296,"about_ca_system_score_codex":0.002300045,"about_ca_system_score_gemma":0.00049941335,"threshold_uncertainty_score":0.9998235},"labels":[],"label_agreement":null},{"id":"W2024467329","doi":"10.2469/faj.v67.n3.6","title":"The Margin of Safety and Turning Points in House Prices: Observations from Three Developed Markets","year":2011,"lang":"en","type":"article","venue":"Financial Analysts Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mean reversion; Economics; Economic rent; Quarter (Canadian coin); Inflation (cosmology); Margin (machine learning); Econometrics; Monetary economics; Financial economics; Market economy; Geography","score_opus":0.05887028493107427,"score_gpt":0.20498004250152682,"score_spread":0.14610975757045255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024467329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98779356,0.00077427994,0.003885494,0.00022865148,0.00034535435,0.000083426945,0.0000335457,0.000010702909,0.006844986],"genre_scores_gemma":[0.99124366,0.0025617888,0.0058675115,0.00007835604,0.00013690373,0.0000031951029,0.000003932601,0.000024937768,0.000079710226],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99837303,0.000030323774,0.0010598621,0.00021542201,0.000038071517,0.00028327023],"domain_scores_gemma":[0.9987793,0.00015008541,0.000747256,0.00019308036,0.00005097306,0.0000792826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016309198,0.00013746528,0.00041668914,0.00022159313,0.00031743615,0.00008078178,0.00029167905,0.000099344754,0.00014288742],"category_scores_gemma":[0.0005340986,0.0001244509,0.00010124448,0.00030774946,0.0000811385,0.00031715995,0.00008232467,0.0002920221,0.000024476392],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021087399,0.000039599145,0.98089206,0.0000065749146,0.000053715867,0.000011367712,0.0012720102,0.000017502369,0.000006086653,0.009863208,0.00015308883,0.007473916],"study_design_scores_gemma":[0.0005071279,0.0000180287,0.93670475,0.00003720543,0.0000100032,0.000006942234,0.000054515953,0.0013455781,0.000008402563,0.054476175,0.0066810194,0.0001502425],"about_ca_topic_score_codex":0.0005084186,"about_ca_topic_score_gemma":0.004048988,"teacher_disagreement_score":0.04461297,"about_ca_system_score_codex":0.00009995666,"about_ca_system_score_gemma":0.000089504465,"threshold_uncertainty_score":0.50749606},"labels":[],"label_agreement":null},{"id":"W2024548758","doi":"10.5038/2375-0901.15.4.3","title":"The Effect of Proximity to Urban Rail on Housing Prices in Ottawa","year":2012,"lang":"en","type":"article","venue":"Journal of Public Transportation","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Real estate; Urban rail transit; Business; Geographically Weighted Regression; Economic geography; Property value; Rail transit; Property (philosophy); Transport engineering; Geography; Finance; Engineering","score_opus":0.022566499527212337,"score_gpt":0.2250394699383933,"score_spread":0.20247297041118095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024548758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941601,0.00023809135,0.0012677369,0.00062216196,0.0005265907,0.00013114358,0.0000074723803,0.0000043244527,0.0030423754],"genre_scores_gemma":[0.9994134,0.00006278421,0.00031314392,0.000032276323,0.00014560255,0.0000034217883,0.0000022950176,0.000011647462,0.000015485586],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998825,0.000025465934,0.00080939877,0.0000794436,0.00004625141,0.0002144167],"domain_scores_gemma":[0.9988765,0.00016586184,0.0007337853,0.0001028947,0.000032538206,0.00008839354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033886987,0.000082570885,0.00028026674,0.00029483563,0.000053071824,0.000047056645,0.00014672408,0.000054014647,0.000018070765],"category_scores_gemma":[0.00017738598,0.000066629684,0.00010371645,0.00022449414,0.000020963133,0.00064370834,0.0000020078157,0.00014005323,0.000009936257],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009545263,0.00006389114,0.97476035,0.000029969106,0.000025242787,7.5223375e-7,0.0011215642,0.00025266752,0.000033269673,0.012802735,0.0002073859,0.0106067285],"study_design_scores_gemma":[0.0007295993,0.00034218252,0.9756054,0.000031563166,0.000008288061,0.0000011348617,0.00007615886,0.00008487158,0.0004750008,0.00058424845,0.02195766,0.0001038655],"about_ca_topic_score_codex":0.000037917438,"about_ca_topic_score_gemma":0.00021402193,"teacher_disagreement_score":0.021750275,"about_ca_system_score_codex":0.00009819585,"about_ca_system_score_gemma":0.000020376532,"threshold_uncertainty_score":0.27170798},"labels":[],"label_agreement":null},{"id":"W2024832837","doi":"10.3828/tpr.2011.28","title":"Viewpoint: The planning research agenda: after the 'Great Recession' <i>Recalibrating the applications of economic analysis in urban policy</i>","year":2011,"lang":"en","type":"article","venue":"Town Planning Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Recession; Great recession; Political science; Economics; Urban policy; Public economics; Urban planning; Keynesian economics; Engineering","score_opus":0.1314168919321599,"score_gpt":0.3392667680364621,"score_spread":0.2078498761043022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024832837","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.079818934,0.36215642,0.0014483861,0.020225879,0.00035349,0.003346736,0.00021401008,0.000089387875,0.5323467],"genre_scores_gemma":[0.9645785,0.030494068,0.00026896366,0.0029794937,0.00030746253,0.00068027235,0.00002585473,0.000045106986,0.00062025065],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977285,0.0002156838,0.0011621914,0.00040969672,0.000056116114,0.00042776152],"domain_scores_gemma":[0.9977765,0.0005728343,0.0005916274,0.0009795806,0.000026308968,0.000053160937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005913239,0.00018832623,0.00065688073,0.00035885317,0.00036765813,0.00008797345,0.0009189089,0.00008101543,0.0007174306],"category_scores_gemma":[0.0002021273,0.0001136947,0.0002654576,0.0013405738,0.00022143303,0.0001786292,0.00022651673,0.0004905215,0.00016602494],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015765316,0.0001657836,0.82041335,0.0014399266,0.0010606847,0.000013444344,0.027922682,0.0023602992,0.0000036817462,0.04488652,0.035474997,0.06610099],"study_design_scores_gemma":[0.00039102844,0.00007062551,0.10654864,0.002467029,0.00030595032,0.00001851048,0.0009967006,0.007913047,0.00002187315,0.017602446,0.8629415,0.00072265853],"about_ca_topic_score_codex":0.0010699119,"about_ca_topic_score_gemma":0.00007767769,"teacher_disagreement_score":0.8847596,"about_ca_system_score_codex":0.00012398668,"about_ca_system_score_gemma":0.000074614545,"threshold_uncertainty_score":0.78553617},"labels":[],"label_agreement":null},{"id":"W2025553029","doi":"10.1111/j.1835-2561.2006.tb00040.x","title":"How Much Investment Choice is Enough for Members?","year":2006,"lang":"en","type":"article","venue":"Australian Accounting Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Asset allocation; Asset (computer security); Quarter (Canadian coin); Business; Investment (military); Sample (material); Finance; Investment decisions; Alternative asset; Economics; Actuarial science; Marketing; Behavioral economics; Computer science; Portfolio; Politics","score_opus":0.05533277856597191,"score_gpt":0.25929104997040614,"score_spread":0.20395827140443423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025553029","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1466671,0.10368621,0.0006937256,0.14465378,0.0041075405,0.0058474233,0.00078523165,0.0005638123,0.59299517],"genre_scores_gemma":[0.7432985,0.076217204,0.01799219,0.041421935,0.0045567364,0.0007738542,0.0005449499,0.00041515025,0.11477949],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99815696,0.000009257535,0.00075601233,0.00052857783,0.000035871668,0.00051332],"domain_scores_gemma":[0.9987335,0.00007207571,0.0006313799,0.0004503469,0.000044736593,0.000067928915],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008436075,0.0002536539,0.00066009763,0.00009819115,0.0001515568,0.0003484067,0.00031096805,0.000115923474,0.0006264286],"category_scores_gemma":[0.00018003807,0.00029527448,0.00028713074,0.00021619006,0.00004339964,0.00051696814,0.000043503907,0.00012644763,0.00043694122],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004966592,0.000121480676,0.03409582,0.004863033,0.00009955746,0.0000024199487,0.0000685232,0.000006610199,0.0000150539845,0.10279305,0.84754944,0.010380019],"study_design_scores_gemma":[0.00027979506,0.000015909496,0.0015895908,0.00039079232,0.000031983793,0.0000032063288,0.000011041057,0.000081285856,0.000052839812,0.00994968,0.9872371,0.00035679305],"about_ca_topic_score_codex":0.0005649191,"about_ca_topic_score_gemma":0.00006823582,"teacher_disagreement_score":0.5966314,"about_ca_system_score_codex":0.00014608861,"about_ca_system_score_gemma":0.000019376712,"threshold_uncertainty_score":0.99994993},"labels":[],"label_agreement":null},{"id":"W2027087419","doi":"10.1111/1540-5982.00147","title":"Comparing Consumption–Based Asset–Pricing models","year":2002,"lang":"fr","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Economics; Capital asset pricing model; Econometrics; Stock exchange","score_opus":0.2900002459119343,"score_gpt":0.1863211567084987,"score_spread":0.1036790892034356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027087419","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93062246,0.01324163,0.0018256787,0.0076543405,0.01225595,0.00037350328,0.0006588764,0.000017976028,0.033349596],"genre_scores_gemma":[0.98466,0.0049028113,0.00267577,0.0013180011,0.0016705132,0.000014039146,0.000032994147,0.0002088801,0.0045169354],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9934811,0.00011725052,0.0033455063,0.00091853115,0.0000035811297,0.0021340412],"domain_scores_gemma":[0.99241316,0.0003778411,0.0029225901,0.00092572835,0.00022793286,0.0031327468],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002169451,0.00076189346,0.0022048838,0.0022772078,0.000552875,0.00078157964,0.0012354525,0.00075589085,0.0052880542],"category_scores_gemma":[0.00031611504,0.0012668121,0.000844271,0.00028484865,0.00057414046,0.0019938275,0.00005487854,0.0011916345,0.0008782668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005411087,0.000085298445,0.096196994,0.00029830352,0.00046716942,0.0002839183,0.0020073145,0.28576818,8.795714e-7,0.60005766,0.006894297,0.007885871],"study_design_scores_gemma":[0.0019894962,0.0003077894,0.0011333686,0.0005428829,0.00011912922,0.0005900564,0.00024409626,0.70177776,0.000013400263,0.16091463,0.13097784,0.001389566],"about_ca_topic_score_codex":0.124575175,"about_ca_topic_score_gemma":0.9144992,"teacher_disagreement_score":0.7899241,"about_ca_system_score_codex":0.0076487986,"about_ca_system_score_gemma":0.0011209394,"threshold_uncertainty_score":0.9998997},"labels":[],"label_agreement":null},{"id":"W2028598264","doi":"10.1108/pm-02-2014-0009","title":"Volatility clustering in land markets","year":2014,"lang":"en","type":"article","venue":"Property Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina","funders":"","keywords":"Volatility (finance); Volatility clustering; Cluster analysis; Economics; Financial economics; Econometrics; Portfolio; Autoregressive conditional heteroskedasticity; Statistics; Mathematics","score_opus":0.025793091538823136,"score_gpt":0.19156633480574217,"score_spread":0.16577324326691903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028598264","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14919123,0.000060714214,0.006435307,0.00048969185,0.00032798742,0.00026089573,0.0000029204668,0.0000467396,0.84318453],"genre_scores_gemma":[0.9938405,0.00016195045,0.0013789698,0.00022965496,0.0000510589,0.000028411763,0.0000038866156,0.000017981049,0.0042875456],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99899024,0.000018164732,0.000383996,0.00033530232,0.000017946746,0.00025434385],"domain_scores_gemma":[0.99954605,0.000013922259,0.00008590404,0.00030677358,0.0000048566117,0.000042510135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001094952,0.00010778772,0.00022573382,0.00015137458,0.000047599864,0.000072074865,0.00017802865,0.000039739025,0.00032533443],"category_scores_gemma":[0.00003020084,0.00009617883,0.000041803953,0.00009734213,0.000018291741,0.00014167283,0.00016168515,0.00007510536,0.00045198444],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008984585,0.00014636417,0.79415065,0.00029098394,0.000044756158,0.000006454155,0.00024077886,0.00050576293,0.0000011626788,0.011377816,0.0015130708,0.19163235],"study_design_scores_gemma":[0.000760273,0.000022236854,0.25347883,0.000028227192,0.0000029821472,7.042454e-7,0.000018378674,0.34890208,0.000002559331,0.008872417,0.38764054,0.00027078323],"about_ca_topic_score_codex":0.00023116986,"about_ca_topic_score_gemma":0.00024649108,"teacher_disagreement_score":0.8446493,"about_ca_system_score_codex":0.000102784674,"about_ca_system_score_gemma":0.0000018494851,"threshold_uncertainty_score":0.58094966},"labels":[],"label_agreement":null},{"id":"W2029444945","doi":"10.3141/2397-12","title":"Location and Transportation Effects on Nonresidential Real Estate Price Regressions in Windsor, Ontario, Canada","year":2013,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Multicollinearity; Ordinary least squares; Econometrics; Heteroscedasticity; Real estate; Spatial analysis; Land use; Metropolitan area; Variables; Regression analysis; Endogeneity; Instrumental variable; Transport engineering; Economics; Geography; Statistics; Engineering; Mathematics; Civil engineering","score_opus":0.04456151956118191,"score_gpt":0.29127016462339755,"score_spread":0.24670864506221565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029444945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934924,0.000072270705,0.00022731097,0.0024752764,0.00062559586,0.0010428096,0.000039136972,0.000012174455,0.0020129792],"genre_scores_gemma":[0.99599373,0.002564534,0.00042062937,0.000060160783,0.000114808296,0.000100638215,0.000030929306,0.00005014597,0.00066444924],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99580425,0.0003777647,0.0017394926,0.00051807915,0.00075353996,0.00080686255],"domain_scores_gemma":[0.9968129,0.0009050476,0.000663636,0.00038783374,0.00086505443,0.0003655201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028419462,0.00025897604,0.00056155724,0.001042009,0.0004285751,0.00018438628,0.0005773844,0.00019749397,0.00043876359],"category_scores_gemma":[0.00015374475,0.00023855761,0.00015729849,0.0012187212,0.00023328823,0.0008838896,0.0000044432477,0.0017343459,0.000034444365],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007381374,0.00019252986,0.973874,0.00035045797,0.00008238816,0.00008691088,0.006078295,0.001824996,0.00027251686,0.003655566,0.004124967,0.008719278],"study_design_scores_gemma":[0.0015294297,0.0002970619,0.9875233,0.00038331645,0.000010565381,2.8228934e-7,0.00079277245,0.0002618589,0.00023969963,0.004781882,0.0039521577,0.00022766173],"about_ca_topic_score_codex":0.9659205,"about_ca_topic_score_gemma":0.9937075,"teacher_disagreement_score":0.027787002,"about_ca_system_score_codex":0.0010057715,"about_ca_system_score_gemma":0.0011177148,"threshold_uncertainty_score":0.9728097},"labels":[],"label_agreement":null},{"id":"W2031279177","doi":"10.2139/ssrn.2205157","title":"Brokers' Contractual Arrangements in the Manhattan Residential Rental Market","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Renting; Business; Rental housing; Commerce; Engineering; Civil engineering","score_opus":0.00984272313765805,"score_gpt":0.19873386126392426,"score_spread":0.1888911381262662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031279177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86678493,0.001168137,0.000739405,0.002125827,0.00067009963,0.00030636534,0.0000074816185,0.000016132193,0.12818165],"genre_scores_gemma":[0.99431926,0.0026216016,0.000037667614,0.0003482376,0.00039563756,0.00001783815,0.000004957669,0.000025787596,0.0022290081],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99723303,0.00006404075,0.0006549236,0.0002554112,0.000059453276,0.0017331504],"domain_scores_gemma":[0.99930817,0.00006677726,0.00031457862,0.00023286566,0.000016667593,0.000060943225],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0031418004,0.00016547131,0.00027658537,0.0002209914,0.00019501666,0.00032383838,0.00051662815,0.000092739574,0.0016128025],"category_scores_gemma":[0.0000698999,0.00015366508,0.000142982,0.00012639764,0.000051461397,0.0005489357,0.000037934355,0.0011928316,0.0008853743],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037853332,0.00066532235,0.3827276,0.000024507623,0.0005192751,0.000035818288,0.0030661458,0.00006019247,0.00006099098,0.49910736,0.048260693,0.06509356],"study_design_scores_gemma":[0.0029142054,0.0003062899,0.13639943,0.000022643826,0.00001737835,0.0003336782,0.005805133,0.0011171112,0.000006786481,0.8204245,0.032095294,0.0005575439],"about_ca_topic_score_codex":0.0007891468,"about_ca_topic_score_gemma":0.002196922,"teacher_disagreement_score":0.32131714,"about_ca_system_score_codex":0.000745502,"about_ca_system_score_gemma":0.00016435755,"threshold_uncertainty_score":0.99989253},"labels":[],"label_agreement":null},{"id":"W2032256557","doi":"10.1111/j.1080-8620.2005.00115.x","title":"Public Versus Private Real Estate Equities: A More Refined, Long-Term Comparison","year":2005,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":206,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Real estate; Economics; Financial economics; Real estate investment trust; Capitalization rate; Portfolio; Leverage (statistics); Market liquidity; Investment performance; Finance; Actuarial science; Return on investment; Microeconomics; Computer science","score_opus":0.09315558713307039,"score_gpt":0.2751442640730933,"score_spread":0.1819886769400229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032256557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6500255,0.000034104443,0.00012876012,0.0010494965,0.0010003884,0.0002493669,0.00023640116,0.00018965125,0.3470863],"genre_scores_gemma":[0.89417017,0.10047893,0.0024068363,0.00020563345,0.00086974294,0.00006296272,0.0004715318,0.00022148744,0.0011127193],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99548495,0.000034718767,0.002002271,0.0011132748,0.000046612524,0.0013181453],"domain_scores_gemma":[0.9970427,0.00020322761,0.0011615356,0.001051919,0.000051580326,0.0004890027],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00096696115,0.0005996949,0.0012338973,0.00049990887,0.00031861704,0.00061684713,0.0007941509,0.00032216587,0.00050276355],"category_scores_gemma":[0.0000824157,0.00080073025,0.00033597596,0.00021685332,0.00026901235,0.00136915,0.00032889147,0.00044236815,0.0022056673],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010755445,0.0005904107,0.20238042,0.00019440084,0.0005480724,0.000036261205,0.004368451,0.009287664,0.00001038575,0.072897606,0.0022363672,0.7063744],"study_design_scores_gemma":[0.011305033,0.00077886425,0.084705785,0.000065104425,0.0001008045,0.000051118877,0.00090942334,0.13911764,0.00014202856,0.0037686105,0.7549875,0.00406811],"about_ca_topic_score_codex":0.0012015759,"about_ca_topic_score_gemma":0.0034589535,"teacher_disagreement_score":0.7527511,"about_ca_system_score_codex":0.0013947703,"about_ca_system_score_gemma":0.00015969948,"threshold_uncertainty_score":0.99944437},"labels":[],"label_agreement":null},{"id":"W2033076897","doi":"10.1108/02637470910946390","title":"The asymmetric volatility of house prices in the UK","year":2009,"lang":"en","type":"article","venue":"Property Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Heteroscedasticity; Economics; Real estate; House price; Econometrics; Autoregressive conditional heteroskedasticity; Quarter (Canadian coin); Financial economics; Finance","score_opus":0.0299265135317084,"score_gpt":0.20746931904459354,"score_spread":0.17754280551288515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033076897","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1946274,0.0013534996,0.0007166162,0.003923189,0.00025709253,0.00081569684,0.0000048800907,0.00003936419,0.79826224],"genre_scores_gemma":[0.9971405,0.0014485266,0.0003682883,0.0003510726,0.000027943524,0.000019579522,8.719665e-7,0.000008567756,0.0006346204],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9990152,0.00001791319,0.0004837402,0.00021951155,0.000037958427,0.00022565067],"domain_scores_gemma":[0.9992555,0.000057320423,0.00019550392,0.00046291156,0.000010443843,0.000018330726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018218646,0.00009396557,0.00018478635,0.00015011265,0.00011524336,0.000100025536,0.0005105901,0.00003007261,0.00002832866],"category_scores_gemma":[0.000057559162,0.00005133386,0.00006637012,0.00040567506,0.00004075373,0.00009606339,0.00006311126,0.00009255336,0.000086481254],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000115966686,0.0005007743,0.1276469,0.00010250793,0.00009429284,0.0000071528743,0.0015639093,0.00019965849,0.0000014104311,0.29889035,0.007977466,0.56289965],"study_design_scores_gemma":[0.0006881658,0.00015269911,0.5837532,0.000019060752,0.000013328489,9.848332e-7,0.00046130462,0.0116130775,0.000015536312,0.055577025,0.34742224,0.0002833345],"about_ca_topic_score_codex":0.00019191825,"about_ca_topic_score_gemma":0.00008033736,"teacher_disagreement_score":0.8025131,"about_ca_system_score_codex":0.000060732014,"about_ca_system_score_gemma":0.0000043440255,"threshold_uncertainty_score":0.2093334},"labels":[],"label_agreement":null},{"id":"W2033242878","doi":"10.1080/00036840802584927","title":"Housing market cycles and duration dependence in the United States and Canada","year":2009,"lang":"en","type":"article","venue":"Applied Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Economics; Duration (music); Probit model; Econometrics; Population; Aggregate (composite); Business cycle; Macroeconomics; Demography","score_opus":0.012365953376986498,"score_gpt":0.17687993090414444,"score_spread":0.16451397752715793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033242878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96900177,0.000111755886,0.000106413354,0.0013612574,0.00007360953,0.0001675064,0.000025545653,0.000013218473,0.029138949],"genre_scores_gemma":[0.99441963,0.0030948564,0.0003375523,0.0020316406,0.000044564007,0.000007869113,0.00003048028,0.000013472023,0.000019942632],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99893343,0.00001048274,0.0004679656,0.00032268002,0.000012028393,0.00025338944],"domain_scores_gemma":[0.99942344,0.00011982518,0.00019817165,0.00019910082,0.0000049484074,0.000054499174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060674245,0.00014716852,0.00024916773,0.00014053291,0.00013432126,0.00018904431,0.00014556486,0.00006988872,0.000023840117],"category_scores_gemma":[0.000019463005,0.00016105038,0.000015385152,0.00008202673,0.000047346843,0.00016206769,0.000030578773,0.00012821247,0.0000057150787],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024730086,0.00013423496,0.36781827,0.000074464995,0.00007647078,0.0000148499685,0.0040461877,0.011222967,0.000019781475,0.5557171,0.004357491,0.05627089],"study_design_scores_gemma":[0.0016183228,0.0000633697,0.63627356,0.000017825632,0.000014469881,0.000032672302,0.0027503842,0.090329856,0.000061552266,0.2194728,0.048317734,0.0010474763],"about_ca_topic_score_codex":0.114690885,"about_ca_topic_score_gemma":0.3761246,"teacher_disagreement_score":0.33624431,"about_ca_system_score_codex":0.0001437491,"about_ca_system_score_gemma":0.000036724774,"threshold_uncertainty_score":0.8912045},"labels":[],"label_agreement":null},{"id":"W2033618386","doi":"10.1080/09599910110039905","title":"Size and proximity effects of primary schools on surrounding house values","year":2001,"lang":"en","type":"article","venue":"Journal of Property Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Value (mathematics); Statistics; Econometrics; Range (aeronautics); Mathematics; Geography; Engineering","score_opus":0.10140173989852168,"score_gpt":0.2975958758117847,"score_spread":0.196194135913263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033618386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96854085,0.0008912602,0.000059503454,0.00074312644,0.0002387379,0.00024305748,0.0000018630187,0.000009178937,0.02927242],"genre_scores_gemma":[0.99373287,0.0038533134,0.0006844232,0.000055298224,0.0002286232,0.0000038889034,1.760523e-7,0.00003265629,0.0014087681],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985517,0.00012202261,0.0006677287,0.0002033691,0.00012864577,0.00032649955],"domain_scores_gemma":[0.99847674,0.00060530676,0.0003763707,0.00022034462,0.0001717814,0.0001494814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051947925,0.000107385975,0.00051648886,0.00039942868,0.00013763084,0.00013650188,0.0002743588,0.00009308667,0.0000398637],"category_scores_gemma":[0.002364673,0.00007838517,0.000100164034,0.00024609064,0.00012007087,0.00049624214,0.00010319331,0.0006248895,0.000053279942],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003148349,0.0017108695,0.87811625,0.001933653,0.0004515428,0.00032115434,0.0017076547,0.00009702588,0.008950451,0.009698538,0.009352551,0.08451196],"study_design_scores_gemma":[0.014319693,0.011612068,0.6836349,0.0030347062,0.00006813069,0.0006604343,0.00094077626,0.0028486797,0.012344763,0.18874797,0.08003181,0.001756091],"about_ca_topic_score_codex":0.000086638735,"about_ca_topic_score_gemma":0.0000041530657,"teacher_disagreement_score":0.19448137,"about_ca_system_score_codex":0.00025972354,"about_ca_system_score_gemma":0.00010768994,"threshold_uncertainty_score":0.31964546},"labels":[],"label_agreement":null},{"id":"W203370874","doi":"","title":"Three Essays on Financial Restatements","year":2012,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business","score_opus":0.046275564327220735,"score_gpt":0.2609933129652336,"score_spread":0.21471774863801285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W203370874","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44568542,0.00015063756,0.000025852873,0.0000899973,0.0023725831,0.0003159548,0.00004708093,0.000058246,0.5512542],"genre_scores_gemma":[0.9294607,0.00048415727,0.000017821869,0.000013424465,0.0010079308,0.0000079693755,0.00021819003,0.00010257555,0.0686872],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9968188,0.00010650986,0.0006256385,0.0010194579,0.00019602073,0.0012336185],"domain_scores_gemma":[0.99789876,0.00016662451,0.0005303047,0.00090894155,0.00010004642,0.0003953091],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012534154,0.0004151142,0.00072909234,0.001960517,0.0008989905,0.00022917823,0.0009672271,0.0006287772,0.0004952181],"category_scores_gemma":[0.00015538557,0.00057541777,0.00032861496,0.00075330364,0.00016719903,0.00046400394,0.0001555324,0.0014448088,0.0018541582],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002834464,0.0008314162,0.3862415,0.000534015,0.000495219,0.0008664478,0.001164905,0.000035503796,0.00019085499,0.57181734,0.029203039,0.0057853013],"study_design_scores_gemma":[0.0016441206,0.000646525,0.48181263,0.00022518005,0.00005009031,0.000007999526,0.0005663562,0.00017246955,0.0011169759,0.04958543,0.4626589,0.0015133134],"about_ca_topic_score_codex":0.012287691,"about_ca_topic_score_gemma":0.0268185,"teacher_disagreement_score":0.5222319,"about_ca_system_score_codex":0.0015335167,"about_ca_system_score_gemma":0.00045699143,"threshold_uncertainty_score":0.99966973},"labels":[],"label_agreement":null},{"id":"W2033850636","doi":"10.5539/ass.v4n12p27","title":"Low-Cost Housing in Sabah, Malaysia: A Regression Analysis","year":2009,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Accommodation; Gross domestic product; Cripple; Government (linguistics); Empirical evidence; Population; Empirical research; Economics; Business; Regression analysis; Public economics; Economic growth","score_opus":0.019857679932907026,"score_gpt":0.24917025542686505,"score_spread":0.22931257549395803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033850636","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44810557,0.000024723824,0.0008167001,0.0010750626,0.00017160026,0.00009629112,0.000007641322,0.00003106519,0.54967135],"genre_scores_gemma":[0.99910825,0.00003484119,0.00037558487,0.00026122582,0.0001188861,0.000003000975,0.0000031849083,0.000007019034,0.00008802218],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99856305,0.000011602691,0.0004088655,0.00048080404,0.000055832574,0.0004798265],"domain_scores_gemma":[0.99944407,0.0000117903255,0.00022754999,0.00020445888,0.00001797598,0.000094134455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001039699,0.00011937396,0.00036202118,0.00066797563,0.0003508842,0.00020532313,0.0003759406,0.000090142414,0.00011369766],"category_scores_gemma":[0.000083545885,0.00013901622,0.00013424871,0.0027518554,0.0002012685,0.00052945584,0.00005034108,0.00014193449,0.00013242292],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032392378,0.00023689476,0.24618603,0.000008126118,0.000032268897,0.00002399291,0.0048555876,0.00015280255,0.00022903868,0.10542726,0.00032381783,0.6424918],"study_design_scores_gemma":[0.00038641982,0.000024416635,0.9656325,0.00001717781,0.000015412821,0.0000010131353,0.00047695826,0.0046003615,0.00012915443,0.026209202,0.0020935726,0.00041381287],"about_ca_topic_score_codex":0.00009130033,"about_ca_topic_score_gemma":0.00008682244,"teacher_disagreement_score":0.7194465,"about_ca_system_score_codex":0.00035545276,"about_ca_system_score_gemma":0.000048033067,"threshold_uncertainty_score":0.56689173},"labels":[],"label_agreement":null},{"id":"W2034294819","doi":"10.1108/02637470310508662","title":"Hedonic estimation of income multipliers","year":2003,"lang":"en","type":"article","venue":"Property Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Economics; Multiplier (economics); Valuation (finance); Econometrics; Income approach; Real estate; Apartment; Sample (material); Adjusted gross income; Gross income; Public economics; Macroeconomics; Finance","score_opus":0.024504747278962794,"score_gpt":0.19996118818070957,"score_spread":0.17545644090174678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034294819","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09978457,0.00019644415,0.015057748,0.0001546235,0.00039922007,0.000389491,0.000005919529,0.000045086457,0.8839669],"genre_scores_gemma":[0.98657006,0.00027318284,0.009829313,0.000058346384,0.000008835405,0.000023958386,0.0000034956595,0.000016696074,0.003216129],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99916434,0.000009948293,0.00040740691,0.00022362161,0.000019920064,0.00017476434],"domain_scores_gemma":[0.9995103,0.0000089249,0.00016941878,0.00026720116,0.000008507035,0.000035633737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005114193,0.000091853806,0.00020641537,0.00015157629,0.00005029857,0.000028433873,0.00012767763,0.000034284272,0.00029615453],"category_scores_gemma":[0.00003726626,0.00008202219,0.00005841502,0.000120499964,0.000031321193,0.00013237375,0.000046050263,0.000044619122,0.00046429777],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043787866,0.00030763194,0.048143655,0.0005853423,0.00024173739,0.0000051770444,0.0005445218,0.019027622,0.000009239236,0.81766915,0.0012272022,0.11219493],"study_design_scores_gemma":[0.003994993,0.00023571315,0.03330594,0.00014151835,0.000057202837,0.000005630473,0.00040938816,0.2623814,0.0007854512,0.14685445,0.5504442,0.0013841247],"about_ca_topic_score_codex":0.00004753982,"about_ca_topic_score_gemma":0.0000044838916,"teacher_disagreement_score":0.88678545,"about_ca_system_score_codex":0.00009110702,"about_ca_system_score_gemma":0.000005091726,"threshold_uncertainty_score":0.59677637},"labels":[],"label_agreement":null},{"id":"W2034661741","doi":"","title":"Tennessee Housing Market: 1st Quarter 2008","year":2008,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Memphis; Economics; Business; Geography; Geology; Archaeology","score_opus":0.029456022338644732,"score_gpt":0.1860201486760232,"score_spread":0.15656412633737848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034661741","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28809506,0.00020761402,0.0028890981,0.0005804424,0.00061359163,0.000095198746,0.000015615422,0.00011913569,0.7073843],"genre_scores_gemma":[0.98855627,0.0005982645,0.0017163287,0.0005236077,0.00025489996,0.000008636161,0.0000065251907,0.000044272303,0.008291211],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99858004,0.000009671702,0.0005553951,0.00041280253,0.000021852726,0.00042022523],"domain_scores_gemma":[0.9992617,0.000045231107,0.00017826969,0.00038334785,0.000019165558,0.00011231973],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003578636,0.00018153498,0.00038078355,0.00020881908,0.00024726396,0.00006494644,0.00020381153,0.00011775379,0.0060917824],"category_scores_gemma":[0.000039473307,0.00021116117,0.00014067213,0.00016796566,0.000087647364,0.00034608596,0.000049718845,0.00012532568,0.00324778],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008781003,0.00029839145,0.57381266,0.000048278413,0.00012161671,0.000084826424,0.0011044719,0.000083085455,0.000034318065,0.042460106,0.37679666,0.005067731],"study_design_scores_gemma":[0.0025613005,0.00016276778,0.22096382,0.00003044926,0.000014541776,0.00022110391,0.00036336578,0.026561994,0.0002118667,0.02454243,0.7221378,0.002228581],"about_ca_topic_score_codex":0.00024482116,"about_ca_topic_score_gemma":0.000072467024,"teacher_disagreement_score":0.7004612,"about_ca_system_score_codex":0.000088112894,"about_ca_system_score_gemma":0.000018955549,"threshold_uncertainty_score":0.9975283},"labels":[],"label_agreement":null},{"id":"W2035703511","doi":"10.1108/17538271211243580","title":"The quarter century record on housing affordability, affordability drivers, and government policy responses in Australia","year":2012,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Australian Housing and Urban Research Institute","keywords":"Incentive; Government (linguistics); Public economics; Quarter (Canadian coin); Zoning; Work (physics); Economics; Population; Business; Economic growth; Finance; Market economy; Political science; Geography","score_opus":0.022915292875050477,"score_gpt":0.26564031831425833,"score_spread":0.24272502543920785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035703511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99454296,0.00027607556,0.0002624712,0.0020735878,0.000577294,0.00005313129,0.000031353484,0.0000045575302,0.0021785442],"genre_scores_gemma":[0.99679387,0.002220544,0.0004693939,0.00012294158,0.00029827098,0.0000010991673,0.0000015784626,0.000011098812,0.00008121452],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847704,0.000093731454,0.0008093955,0.00020171283,0.0001341571,0.00028398974],"domain_scores_gemma":[0.9986258,0.00038840604,0.00064203056,0.00016944007,0.00005319729,0.000121119476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002743314,0.00015283228,0.00038767277,0.0005693542,0.00013945522,0.00027353858,0.00021519187,0.00006817616,0.00006695486],"category_scores_gemma":[0.00037285403,0.00012842925,0.00020835634,0.00028396896,0.0001239412,0.00040454953,0.00009094106,0.00020160098,0.0000028552292],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046073415,0.00011971937,0.9718008,0.0000058434284,0.0004380797,0.000005652858,0.0003955854,0.000062220315,0.000007974981,0.003068804,0.00008359455,0.02355097],"study_design_scores_gemma":[0.00066463894,0.000080339334,0.9727037,0.000040441995,0.0000883107,0.000014872879,0.000573709,0.0015927642,0.000014764572,0.004709427,0.019287905,0.00022910698],"about_ca_topic_score_codex":0.00030152572,"about_ca_topic_score_gemma":0.00024849636,"teacher_disagreement_score":0.023321863,"about_ca_system_score_codex":0.0004967784,"about_ca_system_score_gemma":0.000022817245,"threshold_uncertainty_score":0.5237193},"labels":[],"label_agreement":null},{"id":"W2037581322","doi":"10.1061/9780784413517.131","title":"Microeconomics for Infrastructure Rehabilitation","year":2014,"lang":"en","type":"article","venue":"Construction Research Congress 2014","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Rehabilitation; Domain (mathematical analysis); Balance (ability); Perspective (graphical); Maximization; Computer science; Public infrastructure; Economics; Microeconomics; Management science","score_opus":0.02924819304248744,"score_gpt":0.28711778186094905,"score_spread":0.2578695888184616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037581322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6489139,0.0004084004,0.06290401,0.006028886,0.009608787,0.0022056212,0.0003531158,0.0002827016,0.26929456],"genre_scores_gemma":[0.96734524,0.0002331972,0.030225182,0.00015167026,0.0007776092,0.00019388377,0.00006574593,0.00006943324,0.00093804364],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99797416,0.000092419985,0.00069321314,0.00062735943,0.00005112502,0.000561748],"domain_scores_gemma":[0.9980489,0.00068292115,0.0002893754,0.0005409901,0.00027488644,0.00016290598],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0033424168,0.00017303934,0.00041511017,0.0005678759,0.0003959312,0.0002652867,0.00033891716,0.00021900605,0.00056196365],"category_scores_gemma":[0.0016623959,0.00021716584,0.0001524132,0.00017164249,0.0005915561,0.0003642626,0.000088397835,0.0003118177,0.00079178903],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017634017,0.000033194163,0.06038479,0.00013221816,0.000049450402,2.232527e-7,0.00019382262,0.0002702851,0.00010632059,0.7815486,0.07024014,0.0868646],"study_design_scores_gemma":[0.0009478965,0.00014834364,0.0054800096,0.000015198566,0.0000030753033,0.000008144701,0.00017626309,0.012248672,0.00010535012,0.30972406,0.67088014,0.0002628434],"about_ca_topic_score_codex":0.00004689952,"about_ca_topic_score_gemma":0.000039396804,"teacher_disagreement_score":0.60064,"about_ca_system_score_codex":0.00025668798,"about_ca_system_score_gemma":0.00006328229,"threshold_uncertainty_score":0.99998623},"labels":[],"label_agreement":null},{"id":"W2037800201","doi":"10.5539/mas.v6n3p58","title":"The Impact of Urban Rail Transit on Surrounding Residential Prices--Line 1 of Chengdu Metro as an Example","year":2012,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Urban rail transit; Downtown; Hedonic pricing; Agricultural economics; Transit (satellite); Line (geometry); Value (mathematics); Residential property; Transport engineering; Geography; Business; Economics; Mathematics; Economic geography; Econometrics; Public transport; Statistics; Engineering; Archaeology","score_opus":0.06529592395636429,"score_gpt":0.26964692444866817,"score_spread":0.20435100049230387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037800201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9410091,0.000121696394,0.012865837,0.000019727408,0.00020902108,0.00016446594,0.000014717966,0.000016239965,0.04557919],"genre_scores_gemma":[0.9993835,0.00004320769,0.00035825765,0.000015614934,0.0001102025,0.000005199868,0.0000028682896,0.000019047988,0.00006207175],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984442,0.0000113657925,0.00055745395,0.00036756453,0.000099252175,0.00052015274],"domain_scores_gemma":[0.9986935,0.00012611914,0.00043548027,0.0005590455,0.000031041545,0.00015481094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00357982,0.00014741765,0.00035231558,0.00025308854,0.00030758703,0.000110949964,0.0006439689,0.000059274524,0.000067824105],"category_scores_gemma":[0.00006833861,0.00012693438,0.00011733118,0.00043003686,0.00036913328,0.00049611274,0.000061219864,0.00012241183,0.00004491435],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009905805,0.0011031323,0.13656636,0.00007902471,0.00017243742,8.2640946e-7,0.023006126,0.011039335,0.08777389,0.7210719,0.0002511191,0.017945264],"study_design_scores_gemma":[0.0036919783,0.0013269301,0.3117382,0.000050384555,0.00005722455,0.00000839935,0.0015093976,0.36683849,0.07309956,0.23735093,0.0024079438,0.0019205811],"about_ca_topic_score_codex":0.00132524,"about_ca_topic_score_gemma":0.00005375773,"teacher_disagreement_score":0.483721,"about_ca_system_score_codex":0.00018820305,"about_ca_system_score_gemma":0.00008643799,"threshold_uncertainty_score":0.51762336},"labels":[],"label_agreement":null},{"id":"W2039944434","doi":"10.1111/ecin.12109","title":"GONE FISHING! REPORTED SICKNESS ABSENTEEISM AND THE WEATHER","year":2014,"lang":"en","type":"article","venue":"Economic Inquiry","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Absenteeism; Agency (philosophy); Order (exchange); Recreation; Exploit; Business; Quality (philosophy); Economics; Finance; Computer science; Computer security","score_opus":0.03226476062113692,"score_gpt":0.21930803656084544,"score_spread":0.18704327593970851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039944434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7429735,0.00034291373,0.0015917212,0.0034189962,0.0042195283,0.0002472621,0.000015964066,0.00008823408,0.24710186],"genre_scores_gemma":[0.9943989,0.00033803142,0.00020484814,0.0011136042,0.0014967298,0.00002967913,0.00001220433,0.00005276404,0.0023532682],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982038,0.0000407044,0.0008422318,0.0005460784,0.00001465053,0.00035255007],"domain_scores_gemma":[0.99850297,0.0002130431,0.0005246236,0.00066041684,0.000009568294,0.00008935889],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023199574,0.00021222739,0.0005718756,0.00011261236,0.0002153614,0.00022709266,0.000285975,0.0001351358,0.0005987645],"category_scores_gemma":[0.00015496573,0.0002019761,0.00013943727,0.00004485974,0.00042691303,0.00030104912,0.00013742756,0.00019052961,0.0015429296],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002516232,0.00006970445,0.04890012,0.00005043099,0.00031564283,0.000005313038,0.005363898,0.0005523845,0.000007124509,0.8910882,0.036441937,0.016953615],"study_design_scores_gemma":[0.0047563994,0.00005024484,0.02280216,0.000021579268,0.000031199615,0.000063861626,0.00039224533,0.047543198,0.000028282582,0.21167485,0.7118147,0.0008212545],"about_ca_topic_score_codex":0.00043305953,"about_ca_topic_score_gemma":0.000079979836,"teacher_disagreement_score":0.6794133,"about_ca_system_score_codex":0.00011874991,"about_ca_system_score_gemma":0.000017781382,"threshold_uncertainty_score":0.9992345},"labels":[],"label_agreement":null},{"id":"W2041094285","doi":"10.1108/14635780010338245","title":"Sorting out access and neighbourhood factors in hedonic price modelling","year":2000,"lang":"en","type":"article","venue":"Journal of Property Investment and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":111,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Neighbourhood (mathematics); Collinearity; Econometrics; Spatial analysis; Computer science; Geographic information system; Autocorrelation; Population; Statistics; Geography; Transport engineering; Mathematics; Cartography; Engineering","score_opus":0.06244898349020109,"score_gpt":0.23104500236640457,"score_spread":0.16859601887620349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041094285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9597548,0.0024484925,0.00026958538,0.00043223106,0.00014807197,0.00010845355,0.000003966968,0.00000501481,0.036829334],"genre_scores_gemma":[0.9819709,0.015616894,0.00093836925,0.00033607666,0.00007882348,0.0000024809576,8.363319e-7,0.000016999598,0.0010386093],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986644,0.000013279584,0.000815168,0.00021974191,0.000030429532,0.00025697603],"domain_scores_gemma":[0.99928916,0.000027202681,0.00049180444,0.00010886905,0.00001796353,0.00006499453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056969654,0.00015036548,0.00043476923,0.00016331625,0.00008750256,0.00016472909,0.00017152811,0.000077647135,0.000069875845],"category_scores_gemma":[0.000030540592,0.000116946605,0.00005761613,0.00009640519,0.00005550208,0.0008399333,0.000043399483,0.00022346457,0.000009212737],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003889169,0.00058580923,0.8129544,0.00026699025,0.00015875744,0.000070727816,0.010750837,0.040242087,0.00004824382,0.052155875,0.00057054433,0.081806816],"study_design_scores_gemma":[0.0065354356,0.0009740014,0.13090827,0.0007405265,0.000049480703,0.0001355536,0.0004097395,0.4614888,0.00045135146,0.2092546,0.18710603,0.0019462234],"about_ca_topic_score_codex":0.00010779453,"about_ca_topic_score_gemma":0.000021383663,"teacher_disagreement_score":0.6820461,"about_ca_system_score_codex":0.00008011633,"about_ca_system_score_gemma":0.00003252349,"threshold_uncertainty_score":0.4768944},"labels":[],"label_agreement":null},{"id":"W2041364764","doi":"10.5430/ijfr.v6n2p84","title":"A Study on the Main Determination of Mortgage Risk: Evidence from Reverse Mortgage Markets","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Mortgage underwriting; Autoregressive conditional heteroskedasticity; Econometrics; Economics; Financial economics; Mortgage insurance; Actuarial science","score_opus":0.24592470596498095,"score_gpt":0.38243083264699923,"score_spread":0.13650612668201828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041364764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883228,0.0001542797,0.001009069,0.0010462683,0.0010200202,0.00021240023,0.00008813299,0.0000034066882,0.0081436485],"genre_scores_gemma":[0.9983324,0.0004209281,0.00044014194,0.000046776015,0.0005054082,0.000007901514,0.0000016233696,0.000015149815,0.0002296788],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978855,0.00030415732,0.0009416274,0.00021865546,0.0004291613,0.00022088723],"domain_scores_gemma":[0.99672216,0.0013220911,0.00090009137,0.00028674776,0.0006617366,0.000107197295],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.011889737,0.00010841269,0.0003106734,0.00055245624,0.00009239912,0.00011738899,0.0010037888,0.000076474396,0.00017772226],"category_scores_gemma":[0.014000686,0.00009495874,0.00014186924,0.00022953968,0.00011241721,0.0004014149,0.0001713942,0.00064360746,0.00012003792],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003558619,0.0014492425,0.850967,0.000012163229,0.00024638843,0.0007259332,0.011861728,0.00022594942,0.00017670667,0.012253154,0.019193383,0.099329725],"study_design_scores_gemma":[0.001744042,0.000980815,0.9381263,0.00025504516,0.000014710946,0.000020177185,0.0010400191,0.0019811247,0.0004031836,0.048716437,0.006501997,0.00021615102],"about_ca_topic_score_codex":0.000774802,"about_ca_topic_score_gemma":0.00017125683,"teacher_disagreement_score":0.099113576,"about_ca_system_score_codex":0.00044553174,"about_ca_system_score_gemma":0.0002808099,"threshold_uncertainty_score":0.9943048},"labels":[],"label_agreement":null},{"id":"W2043128113","doi":"10.3141/2076-20","title":"Influence of Transportation Access and Market Dynamics on Property Values","year":2008,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Multilevel model; Econometrics; Explanatory power; Property (philosophy); Cluster (spacecraft); Sample (material); Specification; Spatial heterogeneity; Computer science; Hierarchical database model; Economics; Statistics; Mathematics; Data mining","score_opus":0.10653015815538054,"score_gpt":0.33609253304633124,"score_spread":0.22956237489095072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043128113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939214,0.00012435568,0.0003759315,0.0015639123,0.00023427153,0.00067682564,0.00026940447,0.000016975786,0.002816912],"genre_scores_gemma":[0.99314815,0.0051899655,0.00053941493,0.000048832924,0.000079833044,0.000032780274,0.000023122908,0.00005336791,0.00088451564],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957918,0.0003270549,0.001993247,0.00047985537,0.0007721235,0.000635913],"domain_scores_gemma":[0.9963827,0.000643329,0.0009271662,0.00045563947,0.0013134126,0.00027774533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004109257,0.00024791306,0.00067805185,0.0011581415,0.00054789195,0.00009511895,0.0010004021,0.00020858277,0.00022325318],"category_scores_gemma":[0.00021557172,0.0001934343,0.00029615712,0.0012614533,0.0009377287,0.0011317766,0.0000068479035,0.0013226486,0.000015937338],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017230975,0.0003044707,0.9704672,0.00036073953,0.00013606354,0.000056293848,0.002875218,0.006384772,0.0001220359,0.01195535,0.0029936135,0.0026211601],"study_design_scores_gemma":[0.0011886427,0.0005264861,0.9796635,0.00024035387,0.000017208773,9.399873e-7,0.00034228357,0.0010001168,0.00033081736,0.012338083,0.004135326,0.00021625256],"about_ca_topic_score_codex":0.008201093,"about_ca_topic_score_gemma":0.0148867695,"teacher_disagreement_score":0.009196303,"about_ca_system_score_codex":0.0002704066,"about_ca_system_score_gemma":0.0002936919,"threshold_uncertainty_score":0.9984034},"labels":[],"label_agreement":null},{"id":"W2043536864","doi":"10.5539/jsd.v5n9p85","title":"Hedonic Price Modeling of the Influence of Violent Ethno-Religious Conflict on Residential Property Values in Bauchi Metropolis, Nigeria","year":2012,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Residential property; Collinearity; Real estate; Religious values; Residential real estate; Property value; Variable (mathematics); Estate; Property (philosophy); Economics; Geography; Mathematics; Finance; Economic geography; Statistics; Islam","score_opus":0.02118645837975626,"score_gpt":0.22902295180277374,"score_spread":0.20783649342301747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043536864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951324,0.0011589114,0.00022946525,0.00017984782,0.00029492096,0.00023865368,0.000002007695,0.0000036797762,0.0027601062],"genre_scores_gemma":[0.997922,0.00089858216,0.00073437963,0.000090489615,0.00006786757,0.0000058364017,5.1885957e-7,0.000020757268,0.00025956944],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975007,0.000050243263,0.0016784968,0.00015739538,0.0001207696,0.00049240387],"domain_scores_gemma":[0.9980564,0.000055038883,0.0013123702,0.0002457457,0.00023640419,0.00009400902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002774468,0.00016878814,0.0005883184,0.000520805,0.00009279009,0.000033496268,0.00042642222,0.00010290869,0.000024053521],"category_scores_gemma":[0.00038073378,0.00012444207,0.00013978218,0.00033645544,0.0000647252,0.00040009103,0.00016063747,0.00028133026,0.000007315272],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010384428,0.0012980221,0.5984714,0.001001201,0.0005117722,0.000037289537,0.038844272,0.3415087,0.0004105822,0.014507235,0.0011208906,0.0012502326],"study_design_scores_gemma":[0.008799835,0.0010444366,0.8312711,0.0023764146,0.00010470183,0.000120389246,0.038478278,0.013551434,0.017731262,0.028713765,0.055367187,0.0024411837],"about_ca_topic_score_codex":0.0005284974,"about_ca_topic_score_gemma":0.000016870856,"teacher_disagreement_score":0.32795724,"about_ca_system_score_codex":0.000871069,"about_ca_system_score_gemma":0.00041790478,"threshold_uncertainty_score":0.50746},"labels":[],"label_agreement":null},{"id":"W2043799598","doi":"10.1007/s11146-008-9144-0","title":"Mortgage Put Options and Real Estate Markets","year":2008,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Real estate; Asset (computer security); Real estate investment trust; Shock (circulatory); Business; Intermediation; Monetary economics; Financial market; Financial economics; Economics; Financial system; Finance","score_opus":0.026167279717817155,"score_gpt":0.2059641072941536,"score_spread":0.17979682757633644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043799598","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91600907,0.0002568278,0.00006970338,0.0004981601,0.00034376688,0.00010211375,0.00006135877,0.000011759724,0.08264726],"genre_scores_gemma":[0.47546396,0.5233946,0.0006308783,0.000046949503,0.0001056926,0.0000016151029,0.0000027916203,0.000022921455,0.00033059504],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9983335,0.00003489378,0.0010008126,0.00023969577,0.00002218844,0.00036887382],"domain_scores_gemma":[0.9983872,0.00016815956,0.0009873534,0.00028364232,0.000038385373,0.00013522827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014116629,0.00022311356,0.0005973011,0.00018459503,0.0003742995,0.000080173304,0.0002571577,0.00010034675,0.000027156595],"category_scores_gemma":[0.000034193316,0.00020995965,0.00010955563,0.0000868899,0.0003103077,0.00065389014,0.00009900506,0.00029149116,0.000035389283],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023885807,0.00045086065,0.32131657,0.00022274189,0.0006997142,0.00033417813,0.02831004,0.011623965,0.000059310787,0.043001164,0.00693498,0.5846579],"study_design_scores_gemma":[0.004395462,0.0008175932,0.66493136,0.00009045086,0.00011933399,0.0037750627,0.0015117517,0.028471192,0.0000742266,0.023649283,0.2706963,0.0014679786],"about_ca_topic_score_codex":0.00084159494,"about_ca_topic_score_gemma":0.00021054009,"teacher_disagreement_score":0.5831899,"about_ca_system_score_codex":0.00010056757,"about_ca_system_score_gemma":0.00007442099,"threshold_uncertainty_score":0.8561906},"labels":[],"label_agreement":null},{"id":"W2044624644","doi":"","title":"The Inventory-Sales Ratio and Homebuilder Return Predictability","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bidding; Predictability; Boom; Perpetual inventory; Inventory turnover; Quarter (Canadian coin); Economics; Business; Inventory valuation; Microeconomics; Finance; Inventory management; Operations management; Profitability index; Inventory theory","score_opus":0.021753151646378727,"score_gpt":0.19394050210035324,"score_spread":0.1721873504539745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044624644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9595743,0.008929736,0.0029658903,0.00071731984,0.0008672577,0.00014647072,0.000005902482,0.000033957294,0.026759189],"genre_scores_gemma":[0.98103756,0.017501166,0.00006892337,0.000051458683,0.0002075352,0.000005272974,0.0000013918846,0.000020833437,0.001105861],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99807894,0.000036562506,0.0004762358,0.00022152733,0.000025927151,0.0011608201],"domain_scores_gemma":[0.9993278,0.00004419208,0.00028746406,0.00023150528,0.00002378922,0.000085252796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035987974,0.00012435022,0.00020452218,0.00007298374,0.00043448235,0.00012518931,0.00025242777,0.00007989885,0.00006246792],"category_scores_gemma":[0.00013165924,0.00010663675,0.00008776218,0.00007283728,0.00014311123,0.00027349612,0.00005040581,0.0008175021,0.000060474038],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006501686,0.00004229251,0.35839248,0.0000055992377,0.00012266403,7.999009e-7,0.0007687059,0.0000014401492,0.0000033485858,0.63288975,0.00033647683,0.007371431],"study_design_scores_gemma":[0.00042376624,0.00013896654,0.020729404,0.0000044420526,0.000009097381,0.00008545443,0.0006470963,0.0007954866,0.000008592034,0.9627297,0.014243932,0.00018405364],"about_ca_topic_score_codex":0.00009643694,"about_ca_topic_score_gemma":0.001143748,"teacher_disagreement_score":0.33766308,"about_ca_system_score_codex":0.00040067214,"about_ca_system_score_gemma":0.00024894715,"threshold_uncertainty_score":0.43485203},"labels":[],"label_agreement":null},{"id":"W2044734852","doi":"10.1108/ijhma-01-2012-0003","title":"The value of a floor: valuing floor level in high‐rise condominiums in San Diego","year":2013,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Price premium; Value (mathematics); Hedonic pricing; Floor area ratio; Economics; Forest floor; Business; Econometrics; Mathematics; Microeconomics; Willingness to pay; Geography; Statistics; Engineering; Civil engineering; Environmental science","score_opus":0.017781119067175555,"score_gpt":0.22895441108755216,"score_spread":0.2111732920203766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044734852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99414396,0.0008140082,0.0011335763,0.0006218544,0.00043406463,0.00006337888,0.00001790955,0.0000026604628,0.00276861],"genre_scores_gemma":[0.99724656,0.0014141175,0.0010555285,0.00006845601,0.000105803025,0.0000026975242,0.000002675206,0.000013868562,0.00009029447],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99809164,0.00006391645,0.0013553713,0.00018840736,0.00009540285,0.00020528655],"domain_scores_gemma":[0.99846655,0.0002384757,0.00095219485,0.00014339395,0.00013800175,0.00006135728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002086093,0.00013217537,0.0005922885,0.0013518007,0.000055261004,0.00021116232,0.00036828898,0.000067653884,0.00029510894],"category_scores_gemma":[0.0003208,0.00011422338,0.00024706693,0.0004407873,0.00009213251,0.0003731126,0.000084424195,0.00019507701,0.000008693541],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035441722,0.00021019705,0.91591483,0.000018647108,0.0016734084,0.000039792685,0.0007679236,0.006066468,0.00013695088,0.0056204223,0.00029968764,0.06889725],"study_design_scores_gemma":[0.0021838064,0.000042395663,0.895653,0.00009763248,0.00009750731,0.000014564959,0.0003802028,0.085675284,0.000059090176,0.014409003,0.0011520578,0.00023546761],"about_ca_topic_score_codex":0.001754343,"about_ca_topic_score_gemma":0.00068362633,"teacher_disagreement_score":0.07960881,"about_ca_system_score_codex":0.00014317331,"about_ca_system_score_gemma":0.000036250938,"threshold_uncertainty_score":0.46578944},"labels":[],"label_agreement":null},{"id":"W2045101827","doi":"10.1353/cja.2005.0038","title":"Life Cycle Theory and the Residential Mobility of Older Canadians","year":2004,"lang":"en","type":"article","venue":"Canadian Journal on Aging / La Revue canadienne du vieillissement","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Consumption (sociology); Demographic economics; Economics; Estimation; Panel Study of Income Dynamics; Life-cycle hypothesis; British Household Panel Survey; Labour economics; Public economics; Sociology; Macroeconomics; Social science","score_opus":0.008082067373768315,"score_gpt":0.18206630472159968,"score_spread":0.17398423734783136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045101827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9670845,0.0010082282,0.0003748065,0.013277153,0.0009966707,0.0002633783,0.0001139378,0.000007945964,0.01687333],"genre_scores_gemma":[0.99735236,0.0003485155,0.00006502651,0.001719309,0.00025436954,0.000011353774,0.000004737803,0.000035147154,0.00020917763],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981738,0.0001044842,0.0007378029,0.00032527978,0.000024213776,0.00063443655],"domain_scores_gemma":[0.99744546,0.00017936947,0.00039347552,0.00037950207,0.000058579204,0.0015436154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035511316,0.0002013416,0.00046650844,0.0004076124,0.0004907644,0.00020934621,0.00035456198,0.00008947515,0.00041693036],"category_scores_gemma":[0.0009104953,0.00019717476,0.00015393976,0.00017456159,0.0003322856,0.0001482589,0.00002156148,0.0003466315,0.000020907071],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007956094,0.000035486428,0.012782913,0.00007377768,0.00019993437,0.00023477006,0.014342954,0.006488393,0.000002147081,0.9620348,0.0013000898,0.0024251405],"study_design_scores_gemma":[0.012652953,0.0003453643,0.173291,0.00093801704,0.00017290225,0.0011044424,0.008168979,0.0019496897,0.000042543128,0.5063836,0.29299238,0.001958153],"about_ca_topic_score_codex":0.30702856,"about_ca_topic_score_gemma":0.7216409,"teacher_disagreement_score":0.45565125,"about_ca_system_score_codex":0.0010012003,"about_ca_system_score_gemma":0.00077956915,"threshold_uncertainty_score":0.80405533},"labels":[],"label_agreement":null},{"id":"W2046026089","doi":"10.1016/j.cities.2009.11.006","title":"Without zoning: Urban development and land use controls in Houston","year":2010,"lang":"en","type":"article","venue":"Cities","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":110,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Zoning; Land use; Economic interventionism; Urban planning; Local government; Equity (law); Intervention (counseling); Business; Legislature; Corporate governance; Land development; Environmental planning; Government (linguistics); Land-use planning; Economic growth; Public administration; Economics; Geography; Political science; Finance; Law; Civil engineering; Politics","score_opus":0.027199370740374946,"score_gpt":0.1943320998949555,"score_spread":0.16713272915458055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046026089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96971995,0.00014380575,0.00005567992,0.0000762048,0.000324093,0.00008302693,0.000009407888,0.000026440268,0.0295614],"genre_scores_gemma":[0.9971639,0.0000645437,0.0011186211,0.000110990215,0.00007121433,0.000013118467,0.0000051888014,0.000017563572,0.0014348775],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992815,0.000004237726,0.00029978072,0.00020051362,0.0000108383865,0.00020309268],"domain_scores_gemma":[0.9996623,0.000051185154,0.00009655698,0.0001312794,0.000007358163,0.00005136496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003090308,0.000099998295,0.0002562863,0.0001519417,0.000066813365,0.00014089001,0.00007218888,0.000057298377,0.00006970938],"category_scores_gemma":[0.00007590084,0.00011819178,0.000020441947,0.000039114602,0.000068525675,0.00022103221,0.000034355045,0.00014703962,0.000056008237],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015955353,0.000012087383,0.9805867,0.000009848098,0.00000877715,0.0000025406778,0.0010082958,0.000005781359,0.000014353385,0.017171005,0.00013003653,0.0010346314],"study_design_scores_gemma":[0.0015135319,0.000032132317,0.67483914,0.000024506262,0.0000033053243,0.000011467856,0.0002204937,0.0015731704,0.00019402962,0.006303892,0.3147818,0.00050253066],"about_ca_topic_score_codex":0.0002146554,"about_ca_topic_score_gemma":0.0010870238,"teacher_disagreement_score":0.31465176,"about_ca_system_score_codex":0.000032484048,"about_ca_system_score_gemma":0.000020039177,"threshold_uncertainty_score":0.4819721},"labels":[],"label_agreement":null},{"id":"W2047079285","doi":"10.1007/s11146-005-1370-0","title":"A Spatio-Temporal Autoregressive Model for Multi-Unit Residential Market Analysis*","year":2005,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":81,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Autoregressive model; Heteroscedasticity; Econometrics; Real estate; Residential real estate; Spatial analysis; Robustness (evolution); Bayesian probability; Computer science; Statistics; Economics; Mathematics; Artificial intelligence; Finance","score_opus":0.044740929620407946,"score_gpt":0.25677399279595753,"score_spread":0.2120330631755496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047079285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.973408,0.0002549733,0.019241236,0.0007109668,0.00023308882,0.00018701426,0.00019989043,0.000010123304,0.0057547144],"genre_scores_gemma":[0.9370667,0.044779245,0.015910193,0.0001250928,0.00029458734,0.0000071803443,0.000017892755,0.00003692104,0.0017622198],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99820775,0.000023873743,0.0011661784,0.00023445663,0.000021867038,0.00034588363],"domain_scores_gemma":[0.9977943,0.00012553754,0.0016253605,0.00028619613,0.000073244024,0.000095366144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017176837,0.00021122093,0.0007127407,0.0003304403,0.00022205277,0.00012165837,0.00035384117,0.000110438545,0.000044291835],"category_scores_gemma":[0.000049120412,0.00019675533,0.00029424008,0.000110837485,0.00012255734,0.0006491305,0.000064660955,0.00019997012,0.000015676174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030804724,0.00030757074,0.11422711,0.00009290463,0.0017192599,0.000009160252,0.010116683,0.76206934,0.0000036006004,0.017189277,0.007410674,0.08377395],"study_design_scores_gemma":[0.0012565078,0.00009225796,0.011879801,0.000011734547,0.00016107869,0.000019363119,0.0001254245,0.95547414,0.000011690674,0.003540826,0.02717382,0.0002533399],"about_ca_topic_score_codex":0.0002788468,"about_ca_topic_score_gemma":0.0027206275,"teacher_disagreement_score":0.19340481,"about_ca_system_score_codex":0.00012819744,"about_ca_system_score_gemma":0.00009611007,"threshold_uncertainty_score":0.8023449},"labels":[],"label_agreement":null},{"id":"W2047422191","doi":"10.1007/s10109-009-0095-7","title":"Estimating commercial property prices: an application of cokriging with housing prices as ancillary information","year":2009,"lang":"en","type":"article","venue":"Journal of Geographical Systems","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Universidad de Castilla-La Mancha","keywords":"Property value; Property (philosophy); Residential property; Scarcity; Property market; Spatial analysis; Order (exchange); Tourism; Value (mathematics); Econometrics; Economics; Geography; Business; Regional science; Microeconomics; Real estate; Mathematics; Statistics; Finance; Remote sensing","score_opus":0.014209722443935542,"score_gpt":0.21602732036266298,"score_spread":0.20181759791872744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047422191","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9276977,0.00023542384,0.064736165,0.00018299106,0.00024390763,0.0002449244,0.000006216588,0.000021385482,0.006631285],"genre_scores_gemma":[0.9934029,0.00006518075,0.0061585554,0.000098044955,0.00025501402,0.0000028090342,0.000006033164,0.0000097619095,0.0000017267511],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982671,0.000020294538,0.0012917363,0.00012554579,0.00009608306,0.00019924095],"domain_scores_gemma":[0.9972796,0.000038467053,0.0022205047,0.00017773501,0.00016935791,0.000114379836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014054179,0.00013081738,0.0005115312,0.0004051575,0.00012714522,0.0001833609,0.00022406256,0.00010807297,0.0000045351326],"category_scores_gemma":[0.0000646177,0.00009938911,0.000098436445,0.00036455836,0.000051015584,0.0014253437,0.000013722648,0.00020242619,0.0000069038974],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063740305,0.00055575726,0.7829337,0.0005952509,0.00022519573,0.000008359348,0.0020365554,0.042964566,0.00012434265,0.03294783,0.00011999211,0.136851],"study_design_scores_gemma":[0.0039725667,0.004336221,0.30712312,0.0011092966,0.00012769326,0.00051199377,0.0013603879,0.6205305,0.00006630023,0.009423142,0.050107893,0.0013309113],"about_ca_topic_score_codex":0.0003948058,"about_ca_topic_score_gemma":0.000014235499,"teacher_disagreement_score":0.5775659,"about_ca_system_score_codex":0.00006723357,"about_ca_system_score_gemma":0.000042722044,"threshold_uncertainty_score":0.405297},"labels":[],"label_agreement":null},{"id":"W2047654864","doi":"10.1016/j.jmacro.2009.06.004","title":"The response of Australian consumption to housing wealth","year":2009,"lang":"en","type":"article","venue":"Journal of Macroeconomics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Consumption (sociology); Cointegration; Economics; Wealth effect; Asset (computer security); Wealth elasticity of demand; National wealth; Autonomous consumption; Consumer spending; Financial asset; Labour economics; Estimation; Permanent income hypothesis; Monetary economics; Demographic economics; Econometrics; Macroeconomics; Finance; Market liquidity; Recession; Debt","score_opus":0.03633283982815514,"score_gpt":0.2670270414522762,"score_spread":0.23069420162412105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047654864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988608,0.0002334342,0.00052064226,0.007060883,0.0008623122,0.00011486875,0.000023559358,0.000007604243,0.0025687043],"genre_scores_gemma":[0.9956561,0.0011327493,0.0021859158,0.0004971235,0.00020254508,6.612578e-7,6.1078987e-7,0.000018014965,0.00030632073],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99797535,0.000041159565,0.001493481,0.0001606962,0.000027190534,0.00030214636],"domain_scores_gemma":[0.9977422,0.00021793722,0.001521669,0.00029197728,0.000061961175,0.00016428008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034479897,0.00013586014,0.0004919071,0.00028712998,0.00014569347,0.000119981756,0.0003915893,0.000087301625,0.00006637653],"category_scores_gemma":[0.00024949608,0.00013329208,0.00020254207,0.00009108773,0.00006899466,0.0002497284,0.00003099553,0.00020450019,0.00013969971],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.023012703,0.0009193898,0.40502077,0.00018015517,0.00081808254,0.00007643563,0.0063710017,0.027148759,0.0036872064,0.21781662,0.058481514,0.25646734],"study_design_scores_gemma":[0.003255886,0.0019994187,0.3433858,0.00014995023,0.000046074914,0.00020025724,0.0006177156,0.0016966467,0.0027422416,0.0598359,0.5851898,0.00088029605],"about_ca_topic_score_codex":0.000013228875,"about_ca_topic_score_gemma":0.000020697236,"teacher_disagreement_score":0.5267083,"about_ca_system_score_codex":0.00030539167,"about_ca_system_score_gemma":0.000084705935,"threshold_uncertainty_score":0.54354936},"labels":[],"label_agreement":null},{"id":"W2047696026","doi":"10.5539/ijef.v6n3p188","title":"Hedonic Modeling for a Growing Housing Market: Valuation of Apartments in Complexes","year":2014,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Apartment; Real estate; Metropolitan area; Valuation (finance); Business; Stock (firearms); Database transaction; Hedonic pricing; Turkish; Regional science; Finance; Economics; Geography; Civil engineering; Econometrics; Computer science; Engineering","score_opus":0.05325972911721239,"score_gpt":0.24894658332842123,"score_spread":0.19568685421120885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047696026","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9752928,0.00034082233,0.020733578,0.00041726552,0.0007309457,0.000083136925,0.000030513842,0.000001630287,0.0023693054],"genre_scores_gemma":[0.9915602,0.0029360002,0.005187778,0.00010264496,0.00017249554,0.000003593666,0.000003885194,0.0000151586355,0.000018238192],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867684,0.000010249821,0.000995318,0.0001638464,0.000018924284,0.00013481636],"domain_scores_gemma":[0.9988735,0.00009811169,0.00083808595,0.00008308937,0.000084550564,0.00002266565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012889156,0.00009538242,0.0003782659,0.0002996642,0.000031586198,0.000057479236,0.00021081971,0.000053506745,0.000010374255],"category_scores_gemma":[0.00011753384,0.00011953399,0.000109744746,0.000034364337,0.0000293896,0.0004709699,0.000038377562,0.00007182368,0.0000019238248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043295976,0.00015511907,0.027256774,0.000041970794,0.00015946104,0.0000014922264,0.00050289836,0.42083254,0.000044845536,0.5118836,0.00006694339,0.038621385],"study_design_scores_gemma":[0.0012641837,0.000064217544,0.0018993386,0.000058435187,0.0000042807505,0.000006914188,0.000025930469,0.79916173,0.000049690592,0.19258203,0.0047715334,0.00011172862],"about_ca_topic_score_codex":0.000042125175,"about_ca_topic_score_gemma":0.00003793622,"teacher_disagreement_score":0.3783292,"about_ca_system_score_codex":0.00014420848,"about_ca_system_score_gemma":0.0000309231,"threshold_uncertainty_score":0.48744544},"labels":[],"label_agreement":null},{"id":"W2048420866","doi":"10.2202/1553-3832.1701","title":"Comment on Shiller: Urban Density Drives Housing Price Increases","year":2010,"lang":"en","type":"article","venue":"The Economists Voice","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Agricultural economics","score_opus":0.0186133816793819,"score_gpt":0.20488132082836835,"score_spread":0.18626793914898646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048420866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.820829,0.00006109101,0.00009002404,0.006288687,0.0011454892,0.0002348799,0.000042717103,0.00010002058,0.17120811],"genre_scores_gemma":[0.9926543,0.00012565547,0.0003759443,0.005565229,0.00071342936,0.000020383985,0.000014928134,0.000057009864,0.00047312555],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982381,0.000035218694,0.0006515091,0.00056026084,0.000026574848,0.0004883516],"domain_scores_gemma":[0.99795586,0.0004157842,0.00047900647,0.0009544764,0.000022309348,0.0001725745],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012384391,0.00028880461,0.0004857684,0.00014012092,0.00050287944,0.00026783865,0.0006230367,0.0001504391,0.0006550751],"category_scores_gemma":[0.00022351032,0.0002856602,0.00017685862,0.0001005661,0.00019108197,0.0002653501,0.00017226159,0.0004863114,0.0030055742],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033550127,0.00083646935,0.32491422,0.00007301335,0.00034500327,0.000014198179,0.0022695423,0.0004263412,0.00013982102,0.5945543,0.07034656,0.005745043],"study_design_scores_gemma":[0.0011190057,0.000096161624,0.07356609,0.000020432444,0.000020873047,0.000016788237,0.00013485894,0.0043769423,0.00043188667,0.023798598,0.8955602,0.0008581462],"about_ca_topic_score_codex":0.0008368317,"about_ca_topic_score_gemma":0.0004979777,"teacher_disagreement_score":0.8252137,"about_ca_system_score_codex":0.00017683452,"about_ca_system_score_gemma":0.00003515401,"threshold_uncertainty_score":0.9999595},"labels":[],"label_agreement":null},{"id":"W2050129421","doi":"10.1016/j.procs.2013.06.112","title":"Agent-based Housing Market Microsimulation for Integrated Land Use, Transportation, Environment Model System","year":2013,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Microsimulation; Computer science; Environmental economics; Operations research; Transport engineering","score_opus":0.026365185909440984,"score_gpt":0.18899736129946865,"score_spread":0.16263217539002767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050129421","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35068813,0.000014336547,0.64824456,0.00006967826,0.00025187354,0.00038955777,0.00004547481,0.000054233766,0.00024212894],"genre_scores_gemma":[0.8845782,0.000008105764,0.11505162,0.00015531247,0.00005417114,0.00006249884,0.000026321906,0.000018324377,0.00004542458],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866605,0.0000044387825,0.00045506167,0.0005070763,0.000044542743,0.00032280613],"domain_scores_gemma":[0.9993334,0.000053751824,0.00023058339,0.00021049975,0.000070279435,0.00010150415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051121047,0.00014413279,0.0002170964,0.00020798513,0.0002292332,0.0004289786,0.0002596505,0.000056595025,0.000027234302],"category_scores_gemma":[0.000019371839,0.00016042271,0.0000613365,0.00019474758,0.0001019971,0.00085311185,0.000017290347,0.00005544526,0.00006924076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049261256,0.00013459819,0.23054244,0.00029566744,0.000020383877,8.236269e-7,0.0008213064,0.7473234,0.00032578834,0.0061904835,0.0016515874,0.012644259],"study_design_scores_gemma":[0.00037528068,0.00002398284,0.0178075,0.000022904034,0.0000034465304,3.8932217e-7,0.000007190194,0.9797881,0.00013299914,0.00079450937,0.00084308186,0.0002005749],"about_ca_topic_score_codex":0.000097609474,"about_ca_topic_score_gemma":0.000012552534,"teacher_disagreement_score":0.53389007,"about_ca_system_score_codex":0.0002445272,"about_ca_system_score_gemma":0.00007478732,"threshold_uncertainty_score":0.6541848},"labels":[],"label_agreement":null},{"id":"W2050372667","doi":"10.1257/aer.101.3.615","title":"House Prices and Marital Stability","year":2011,"lang":"en","type":"article","venue":"American Economic Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Economics; Agency (philosophy); House price; Current Population Survey; Differential (mechanical device); Population; Demographic economics; Labour economics; Monetary economics; Demography","score_opus":0.05684327962071494,"score_gpt":0.22514268559141604,"score_spread":0.1682994059707011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050372667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4971765,0.024459489,0.00015400264,0.00052847,0.00038628792,0.0005060623,0.000062408784,0.00015817127,0.4765686],"genre_scores_gemma":[0.7881554,0.20821866,0.0021765432,0.001199529,0.00007577669,0.000043297085,0.0000048064476,0.000059450293,0.00006657561],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982528,0.000018258663,0.0008269234,0.0005664154,0.000010426828,0.0003251637],"domain_scores_gemma":[0.9986213,0.00005238256,0.0006363315,0.00052833155,0.000008207778,0.00015348257],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008392593,0.00020936153,0.0008616522,0.00008179109,0.00006876754,0.00004568656,0.00025355894,0.000037369762,0.0016029153],"category_scores_gemma":[0.0000637165,0.00024317256,0.0001407492,0.00008456624,0.00032100623,0.00034647886,0.0001121169,0.00011230396,0.0018066424],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036789603,0.00015303766,0.58994305,0.0010193037,0.00017359189,0.0000057707202,0.000817224,7.4357575e-7,0.000001875019,0.052186336,0.0038000643,0.35186222],"study_design_scores_gemma":[0.00077465916,0.00040444554,0.2500832,0.00034681466,0.00008286296,0.000058273927,0.00031217592,0.00048506417,0.000039876966,0.02154977,0.72401,0.001852855],"about_ca_topic_score_codex":0.0011187838,"about_ca_topic_score_gemma":0.00012712655,"teacher_disagreement_score":0.7202099,"about_ca_system_score_codex":0.00014022736,"about_ca_system_score_gemma":0.000028314838,"threshold_uncertainty_score":0.9993098},"labels":[],"label_agreement":null},{"id":"W2050408251","doi":"10.1006/juec.2000.2200","title":"Site Density Restrictions: Measurement and Empirical Analysis","year":2001,"lang":"en","type":"article","venue":"Journal of Urban Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Redevelopment; Floor area ratio; Real estate; Distortion (music); Space (punctuation); Measure (data warehouse); Incentive; Function (biology); Government (linguistics); Empirical research; Land use; Set (abstract data type); China; Econometrics; Business; Economics; Microeconomics; Computer science; Finance; Statistics; Geography; Mathematics; Civil engineering; Telecommunications; Engineering","score_opus":0.06499989825687523,"score_gpt":0.23163947679799834,"score_spread":0.1666395785411231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050408251","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98350793,0.0012379899,0.0031519064,0.00094188435,0.00048741445,0.000058817193,0.000012645065,0.000011413492,0.010590009],"genre_scores_gemma":[0.9914095,0.0066036554,0.0011624566,0.00028940596,0.00035618854,0.000001094228,0.0000020774562,0.00001952704,0.0001561048],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982358,0.00002136222,0.0012011424,0.0002602786,0.000032250377,0.0002491487],"domain_scores_gemma":[0.99834406,0.000059199374,0.0010355749,0.00026111695,0.0000984616,0.00020159605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015822819,0.00015891455,0.0007074768,0.00060176774,0.000119774646,0.00015174964,0.00017022394,0.0001156018,0.00012432811],"category_scores_gemma":[0.0001580103,0.0001859532,0.00033009567,0.00031601562,0.000057988167,0.00042895373,0.000051353327,0.00021924035,0.00007617853],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006959789,0.000078622164,0.9916836,0.0000048588304,0.0005706327,0.00001061484,0.00022024568,0.0009479037,0.000002970571,0.0023983957,0.002534408,0.0014781244],"study_design_scores_gemma":[0.0014348055,0.0002149945,0.72022843,0.000014092211,0.000394667,0.00020674554,0.00014041651,0.015056677,0.000016595559,0.017432489,0.24432357,0.0005365161],"about_ca_topic_score_codex":0.00006787735,"about_ca_topic_score_gemma":0.00023200596,"teacher_disagreement_score":0.2714552,"about_ca_system_score_codex":0.00044392626,"about_ca_system_score_gemma":0.000058718164,"threshold_uncertainty_score":0.7582952},"labels":[],"label_agreement":null},{"id":"W2051715731","doi":"10.2139/ssrn.1325553","title":"Hedging House Price Risk in the Presence of Lumpy Transaction Costs","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Transaction cost; Economics; Price risk; Business; Econometrics; Financial economics; Futures contract; Microeconomics","score_opus":0.00849275160164605,"score_gpt":0.19199323216182226,"score_spread":0.1835004805601762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051715731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9590037,0.0018728842,0.020929698,0.00032666413,0.0002064783,0.00012266463,0.0000060110274,0.000016051381,0.01751585],"genre_scores_gemma":[0.9918085,0.0077573447,0.00007700432,0.00002428495,0.00015163385,0.0000037874377,9.527897e-7,0.000021455646,0.00015505448],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982309,0.00005343213,0.0005539918,0.00016938531,0.00003720134,0.0009551385],"domain_scores_gemma":[0.99924576,0.00009355324,0.0004496711,0.00017433014,0.000015847905,0.000020845962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035658602,0.00010241667,0.00022037364,0.00019050606,0.00012678253,0.000060661972,0.0002905614,0.00006533229,0.000024212028],"category_scores_gemma":[0.000056987406,0.000097752745,0.000105983636,0.00021970578,0.00003750574,0.00027111048,0.000007987044,0.000960749,0.000032870925],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019880493,0.00044939414,0.38580328,0.000028302953,0.0001234084,0.0000059723475,0.0016001229,0.00771759,0.000088814406,0.55283195,0.0002749283,0.050877422],"study_design_scores_gemma":[0.002075251,0.00027973708,0.08254576,0.000038511305,0.000025069006,0.00022121402,0.0019460192,0.010147933,0.00011700704,0.8938775,0.00825339,0.00047261672],"about_ca_topic_score_codex":0.0016688318,"about_ca_topic_score_gemma":0.0032787216,"teacher_disagreement_score":0.34104553,"about_ca_system_score_codex":0.0006636051,"about_ca_system_score_gemma":0.00016623316,"threshold_uncertainty_score":0.41740298},"labels":[],"label_agreement":null},{"id":"W2051930785","doi":"10.1007/s00168-011-0466-0","title":"Uncertain economic growth and sprawl: evidence from a stochastic growth approach","year":2011,"lang":"en","type":"article","venue":"The Annals of Regional Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Federation of Canadian Municipalities; Infrastructure Canada; U.S. Department of Commerce","keywords":"Urban sprawl; Economic rent; Metropolitan area; Proxy (statistics); Economics; Economic geography; Econometrics; Geography; Land Values; Land use; Population; Population growth; Regional science; Natural resource economics; Statistics; Ecology; Microeconomics","score_opus":0.24435876450607982,"score_gpt":0.2842957438707473,"score_spread":0.039936979364667474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051930785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9646619,0.0012490458,0.0031951116,0.002266086,0.00018615756,0.00017586986,0.0000352595,0.000022692617,0.028207889],"genre_scores_gemma":[0.9968045,0.001108952,0.0015782195,0.00036936198,0.000081187354,0.000009830825,0.0000014800454,0.000011184909,0.000035333345],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986522,0.00001992062,0.00041423787,0.0005082472,0.00006074304,0.00034464596],"domain_scores_gemma":[0.9988668,0.00021581244,0.00037813885,0.00036089864,0.00004908171,0.00012929585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016777533,0.00014370712,0.0003021464,0.00017409191,0.00022663601,0.0000737804,0.0008627693,0.00004935822,0.00006940541],"category_scores_gemma":[0.00027468597,0.00012498374,0.000080862264,0.00023458469,0.0012395104,0.0006861002,0.00019315863,0.00010463617,0.000074948766],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028237837,0.00015984414,0.061314676,0.000055873097,0.00008902192,0.0000021549135,0.007461657,0.0004539176,0.00024230217,0.92635983,0.0016767351,0.0019016179],"study_design_scores_gemma":[0.00049434806,0.00024368451,0.1965948,0.0001366244,0.000021424697,0.000027277287,0.00061519886,0.038134675,0.0015675601,0.7608834,0.0004489155,0.00083212263],"about_ca_topic_score_codex":0.0037060955,"about_ca_topic_score_gemma":0.00002773644,"teacher_disagreement_score":0.16547646,"about_ca_system_score_codex":0.000033621858,"about_ca_system_score_gemma":0.00009585335,"threshold_uncertainty_score":0.56025326},"labels":[],"label_agreement":null},{"id":"W2053396672","doi":"10.1007/s11146-015-9497-0","title":"Changing Tastes: Estimating Changing Attribute Prices in Hedonic and Repeat Sales Models","year":2015,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Portfolio; Econometrics; Shadow price; Economics; Hedonic index; Order (exchange); Price index; Financial economics; Mathematics; Finance","score_opus":0.04992455789594134,"score_gpt":0.22845300160600418,"score_spread":0.17852844371006282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053396672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99195385,0.0013029692,0.0018878314,0.00040950405,0.00037500283,0.00010974853,0.000023637129,0.000009572711,0.0039278604],"genre_scores_gemma":[0.9280595,0.06760862,0.0039717723,0.000072732604,0.00018920106,0.00000293048,0.0000048314396,0.000030605363,0.000059814058],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998359,0.000019462017,0.00091286586,0.00021926983,0.00002209124,0.0004672636],"domain_scores_gemma":[0.99851984,0.00013930899,0.0010100367,0.00019206166,0.000034365617,0.00010437976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032196748,0.00019315231,0.0005847698,0.00044520915,0.0001523048,0.00012894133,0.00021607394,0.00007916127,0.0000017862299],"category_scores_gemma":[0.0000623115,0.00018386131,0.000059859718,0.00017611432,0.000098668046,0.0009812118,0.00014748411,0.00023368238,0.000010844609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007016181,0.00015224858,0.07927749,0.00031184877,0.00021736215,0.00007294567,0.0843005,0.63431257,0.000008817666,0.04531689,0.00027498326,0.15505269],"study_design_scores_gemma":[0.0025700235,0.00037841807,0.0051561347,0.0003147661,0.000040064777,0.00047024328,0.009391747,0.9177542,0.000024556524,0.05828011,0.0048894454,0.00073032273],"about_ca_topic_score_codex":0.00016033405,"about_ca_topic_score_gemma":0.00015520207,"teacher_disagreement_score":0.28344157,"about_ca_system_score_codex":0.00017389271,"about_ca_system_score_gemma":0.000059696846,"threshold_uncertainty_score":0.7497647},"labels":[],"label_agreement":null},{"id":"W2053506197","doi":"10.1007/s10109-005-0011-8","title":"Heterogeneity in hedonic modelling of house prices: looking at buyers’ household profiles","year":2005,"lang":"en","type":"article","venue":"Journal of Geographical Systems","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":122,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Université de Montréal","funders":"","keywords":"Economics; Hedonic pricing; Property value; Econometrics; House price; Order (exchange); Residential property; Value (mathematics); Household income; Geography; Economic geography; Statistics; Mathematics","score_opus":0.050613715871472426,"score_gpt":0.21241515095760377,"score_spread":0.16180143508613135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053506197","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907993,0.004072854,0.003084688,0.00014132635,0.00048371404,0.00016106687,0.000019727617,0.000019451281,0.0012178591],"genre_scores_gemma":[0.9973489,0.0014727633,0.00076945045,0.000029235489,0.0003128158,0.0000041771127,8.684421e-7,0.000041339204,0.000020421361],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99730504,0.000038205293,0.0019587306,0.00024915216,0.000088061795,0.00036080368],"domain_scores_gemma":[0.9978326,0.0000958716,0.0016194558,0.00025697506,0.00005209286,0.00014302388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019349449,0.00017824593,0.00085578393,0.00072550174,0.00006534689,0.000073725096,0.0003305781,0.00019909555,0.000017956489],"category_scores_gemma":[0.000039470822,0.00018194722,0.00035945824,0.00034811106,0.0000710155,0.0003485112,0.000066776745,0.00031332718,0.000016738968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011595664,0.00023778023,0.728712,0.00016668893,0.0001291392,0.0000110473065,0.00029944014,0.26635534,0.000059625403,0.0034338746,0.0000853831,0.00039369622],"study_design_scores_gemma":[0.010683661,0.001416172,0.14764366,0.0023091526,0.0001660128,0.0007307422,0.00077239383,0.73383796,0.001363213,0.0081960345,0.08995617,0.0029248195],"about_ca_topic_score_codex":0.0003017101,"about_ca_topic_score_gemma":0.00013340033,"teacher_disagreement_score":0.58106834,"about_ca_system_score_codex":0.00022391719,"about_ca_system_score_gemma":0.000026188087,"threshold_uncertainty_score":0.7419593},"labels":[],"label_agreement":null},{"id":"W2056131953","doi":"10.3141/1722-01","title":"Effects of Transportation Infrastructure and Location on Residential Real Estate Values: Application of Spatial Autoregressive Techniques","year":2000,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":162,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Real estate; Amenity; Econometrics; Recreation; Autoregressive model; Residential property; Spatial analysis; Freehold; Regression analysis; Residential real estate; Statistics; Geography; Transport engineering; Business; Economics; Mathematics; Engineering; Finance; Regional science","score_opus":0.022411549545855468,"score_gpt":0.3014766729092394,"score_spread":0.27906512336338396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056131953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99388325,0.000099745834,0.0032165344,0.00039796013,0.0001982076,0.0010205444,0.00014792047,0.000019903819,0.0010159267],"genre_scores_gemma":[0.9902384,0.007937705,0.0014075091,0.00001151901,0.0001366549,0.000057011377,0.000047497782,0.000047315043,0.00011636966],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99617004,0.00033218527,0.0019368604,0.00043009513,0.00068729033,0.00044352462],"domain_scores_gemma":[0.9963552,0.0006145639,0.0011668765,0.00037390212,0.0013114103,0.00017806463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002532659,0.00022848729,0.00063631014,0.0009609868,0.00025832944,0.00005483612,0.0005482753,0.00025038433,0.00015274595],"category_scores_gemma":[0.00012114703,0.00021074488,0.00022473915,0.0009612095,0.0006190828,0.0005208485,0.0000029733405,0.00092644605,0.000008674221],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007939544,0.00083462085,0.5374644,0.0028942865,0.00043166644,0.000046217527,0.01774369,0.0065735276,0.0074318144,0.016180033,0.0014236841,0.4010365],"study_design_scores_gemma":[0.001289936,0.0007906913,0.97225,0.00036977028,0.000043730462,2.8122903e-7,0.00034274362,0.0006701723,0.010133029,0.011332513,0.0025891834,0.00018794916],"about_ca_topic_score_codex":0.020821113,"about_ca_topic_score_gemma":0.010208224,"teacher_disagreement_score":0.4347856,"about_ca_system_score_codex":0.00017326364,"about_ca_system_score_gemma":0.00023936588,"threshold_uncertainty_score":0.9856993},"labels":[],"label_agreement":null},{"id":"W2056376614","doi":"10.2139/ssrn.239955","title":"Smoothing in Commercial Property Valuations: Evidence from Individual Appraisals","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Smoothing; Property (philosophy); Econometrics; Computer science; Mathematical economics; Economics; Mathematics; Actuarial science; Statistics; Epistemology; Philosophy","score_opus":0.05820507780322006,"score_gpt":0.2599895142923408,"score_spread":0.20178443648912073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056376614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.974093,0.004480103,0.0013727173,0.001938345,0.0003225213,0.00016642698,0.000019995332,0.000028481492,0.017578384],"genre_scores_gemma":[0.9842411,0.013750283,0.000400222,0.00025435613,0.00048141254,0.000011532349,0.000011027915,0.000031271506,0.00081874325],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99728125,0.00007700552,0.0008055934,0.00033488058,0.00006306411,0.0014382302],"domain_scores_gemma":[0.99925226,0.00015184951,0.0002697168,0.00023392255,0.000018576993,0.00007365079],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004656928,0.00016812015,0.0003870708,0.0002256005,0.00021657362,0.00023575731,0.0004872566,0.00012625442,0.0013670163],"category_scores_gemma":[0.00028573774,0.00016363573,0.00011452129,0.00021530503,0.00004530401,0.0008016205,0.000036939753,0.0013873071,0.0006549717],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020200337,0.000232642,0.36103228,0.000008375797,0.00021836841,0.0000063191787,0.0036676307,0.00162208,0.000012162477,0.038383525,0.00070742215,0.5939072],"study_design_scores_gemma":[0.0022434527,0.00024532198,0.11759366,0.0001609466,0.00003215187,0.00007609743,0.00075453456,0.0060871276,0.000012581084,0.84176344,0.030240994,0.00078968727],"about_ca_topic_score_codex":0.0020296115,"about_ca_topic_score_gemma":0.0037933835,"teacher_disagreement_score":0.8033799,"about_ca_system_score_codex":0.000832614,"about_ca_system_score_gemma":0.00057177845,"threshold_uncertainty_score":0.9995459},"labels":[],"label_agreement":null},{"id":"W2056710618","doi":"10.1016/j.jhe.2009.07.008","title":"The housing bubble and a new approach to accounting for housing in a CPI","year":2009,"lang":"en","type":"article","venue":"Journal of Housing Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":67,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of British Columbia","funders":"","keywords":"Economic rent; Renting; Economics; Inflation (cosmology); Price index; Index (typography); Boom; Equivalence (formal languages); Hedonic regression; Agency (philosophy); Econometrics; Actuarial science; Public economics; Finance; Macroeconomics; Microeconomics; Engineering; Computer science","score_opus":0.04880090929479064,"score_gpt":0.23387698314163918,"score_spread":0.18507607384684854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056710618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9678658,0.00082698546,0.01718605,0.0025199032,0.0007989338,0.0003382787,0.000008197802,0.000020654532,0.010435196],"genre_scores_gemma":[0.9592083,0.00096355344,0.03800835,0.0008678666,0.00080310967,0.0000028674942,0.0000012870019,0.00006232408,0.00008235935],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99755627,0.0000164338,0.0014659974,0.00037199337,0.000029004088,0.0005602954],"domain_scores_gemma":[0.9981191,0.00021691638,0.0011337929,0.00028244528,0.000049416412,0.00019829672],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0026645097,0.00024073958,0.0007187828,0.00049936696,0.00033769317,0.0007630991,0.00037959786,0.00013887761,0.0000043256086],"category_scores_gemma":[0.00031100644,0.0002475413,0.00019121607,0.00020547163,0.000046208555,0.00068010716,0.00006716595,0.00028557525,0.000010915552],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002072097,0.00077034725,0.11332226,0.00021904208,0.00043139947,0.00002285792,0.008502935,0.15063041,0.00033618478,0.12150172,0.010877786,0.59131294],"study_design_scores_gemma":[0.011675293,0.0011297641,0.03044895,0.0005606812,0.00014088923,0.00033261825,0.0028143432,0.22000122,0.00044699816,0.42062324,0.3086172,0.0032087995],"about_ca_topic_score_codex":0.00008739531,"about_ca_topic_score_gemma":0.00014771127,"teacher_disagreement_score":0.5881041,"about_ca_system_score_codex":0.00044611798,"about_ca_system_score_gemma":0.00015240097,"threshold_uncertainty_score":0.9999977},"labels":[],"label_agreement":null},{"id":"W2056929898","doi":"10.1016/s0380-1330(04)70364-0","title":"Contaminant Cleanup in the Waukegan Harbor Area of Concern: Homeowner Attitudes and Economic Benefits","year":2004,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Environmental science; Environmental planning; Natural resource economics; Business; Fishery; Economics; Biology","score_opus":0.10122074540541169,"score_gpt":0.30534454197013444,"score_spread":0.20412379656472274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056929898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98345107,0.0024557514,0.000019065828,0.0013671204,0.00017086828,0.00014432012,0.000033077416,0.0000023601829,0.012356378],"genre_scores_gemma":[0.9949462,0.0046137287,0.00012197341,0.000046008572,0.00014950374,0.0000039477723,0.0000010289854,0.000017365694,0.00010026737],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984044,0.000056747125,0.0008811485,0.00020784265,0.000087761604,0.00036210826],"domain_scores_gemma":[0.9988905,0.0002834577,0.00039264397,0.00025494173,0.000083144594,0.000095321535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036221617,0.00012520728,0.00053789787,0.0005288889,0.00010415899,0.00013129547,0.0004539452,0.00009925552,0.00013400978],"category_scores_gemma":[0.00016838923,0.00009739638,0.00011472049,0.00016698748,0.0002845233,0.00032929602,0.00007580048,0.0004342491,0.000039422233],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051212416,0.0003344119,0.8306494,0.00014308174,0.00017864653,0.00012036636,0.003390278,0.0022344573,0.00011129266,0.14755382,0.0008870873,0.0138850855],"study_design_scores_gemma":[0.007602314,0.0018658402,0.9263322,0.00059827726,0.000022816394,0.00027952768,0.0018710268,0.0010702419,0.0008958719,0.031443715,0.027391043,0.00062712084],"about_ca_topic_score_codex":0.00043961176,"about_ca_topic_score_gemma":0.0011131106,"teacher_disagreement_score":0.1161101,"about_ca_system_score_codex":0.00028368793,"about_ca_system_score_gemma":0.000115107665,"threshold_uncertainty_score":0.3971709},"labels":[],"label_agreement":null},{"id":"W2058431526","doi":"10.2139/ssrn.1497234","title":"Is the Canadian Housing Market Overvalued? A Post-Crisis Assessment","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Financial system; Financial crisis; Economics; Business; Monetary economics; Macroeconomics","score_opus":0.01372740634249727,"score_gpt":0.2262889649228827,"score_spread":0.21256155858038542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058431526","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4017565,0.00415196,0.002503144,0.09095044,0.0012562412,0.00038716785,0.00007148023,0.000055143995,0.49886793],"genre_scores_gemma":[0.98828477,0.0037782055,0.00021120378,0.005964859,0.00035403768,0.0000022958827,0.0000031857016,0.000030365454,0.001371052],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967222,0.00003900836,0.0005505163,0.00030289835,0.000059030775,0.002326317],"domain_scores_gemma":[0.99904895,0.00003121816,0.00033287372,0.00034193607,0.000050665163,0.00019435213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036557824,0.00020055367,0.00030953615,0.00028993483,0.00086275704,0.0004519158,0.0004630988,0.00012302108,0.00075383467],"category_scores_gemma":[0.000048497706,0.00018916604,0.00023930638,0.00020750896,0.000033604723,0.00031803956,0.000023373008,0.0014639578,0.00020635924],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062199375,0.0001047011,0.0398682,0.000006045242,0.00038470034,0.000013885496,0.0008175514,0.000108148604,0.000008139771,0.8916833,0.022442374,0.044500787],"study_design_scores_gemma":[0.0006925193,0.00029647417,0.041931916,0.000012581063,0.000028849543,0.00021549554,0.0012148896,0.0031221923,0.000004989898,0.85548407,0.09649635,0.0004996648],"about_ca_topic_score_codex":0.03179175,"about_ca_topic_score_gemma":0.19513075,"teacher_disagreement_score":0.5865283,"about_ca_system_score_codex":0.0038834643,"about_ca_system_score_gemma":0.00218209,"threshold_uncertainty_score":0.99994045},"labels":[],"label_agreement":null},{"id":"W2060062129","doi":"10.1007/s00181-010-0448-6","title":"Network externalities in consumer spending on lottery games: evidence from Spain","year":2010,"lang":"en","type":"article","venue":"Empirical Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Lottery; Tobit model; Consumption (sociology); Economics; Externality; Consumer spending; Microeconomics; Consumer Expenditure Survey; Public economics; Advertising; Econometrics; Business; Macroeconomics; Sociology","score_opus":0.08886275030798725,"score_gpt":0.2742377315910977,"score_spread":0.18537498128311047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060062129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9610358,0.00032831903,0.00033093605,0.0014309195,0.0021613862,0.00017971685,0.00007561113,0.0000601932,0.034397107],"genre_scores_gemma":[0.9930476,0.0008508578,0.0019683205,0.0024940365,0.0011172283,0.000023633884,0.000016567921,0.000067155146,0.0004145944],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972783,0.000039991555,0.0011489904,0.00083727774,0.000025364821,0.0006701285],"domain_scores_gemma":[0.99778646,0.0010086818,0.0004209559,0.0005814309,0.000008457207,0.00019401587],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013734262,0.00032254335,0.0007475086,0.00024531197,0.00010650999,0.00027874144,0.0005082133,0.00029009779,0.0021706456],"category_scores_gemma":[0.00038548882,0.00040701983,0.00017723172,0.0001319975,0.0001545696,0.00051814143,0.00014643269,0.00069061393,0.0027689007],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000110731846,0.000082578335,0.96899873,0.000011606356,0.000035299625,0.000013582406,0.0005110447,0.0021882472,0.000011671539,0.021333735,0.0026237408,0.0040790197],"study_design_scores_gemma":[0.0015512431,0.0001375369,0.4927518,0.00021784437,0.000014299247,0.000012325834,0.00016313544,0.031392496,0.00008225264,0.28366017,0.18836832,0.0016485977],"about_ca_topic_score_codex":0.00081571366,"about_ca_topic_score_gemma":0.0014336199,"teacher_disagreement_score":0.47624695,"about_ca_system_score_codex":0.00027632603,"about_ca_system_score_gemma":0.00004316804,"threshold_uncertainty_score":0.9998382},"labels":[],"label_agreement":null},{"id":"W2060078664","doi":"10.1016/j.jhe.2014.06.003","title":"The effect of new residential construction on housing prices","year":2014,"lang":"en","type":"article","venue":"Journal of Housing Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":85,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mile; Externality; Competition (biology); Quarter (Canadian coin); Price premium; Residential property; Hedonic pricing; Business; Economics; Agricultural economics; Microeconomics; Econometrics; Willingness to pay; Geography; Economic geography","score_opus":0.013403476676472476,"score_gpt":0.20876108048315184,"score_spread":0.19535760380667935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060078664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9797763,0.0002430768,0.0028607142,0.00049146224,0.0029685039,0.00009805112,0.000004481532,0.000013605686,0.0135437865],"genre_scores_gemma":[0.9958137,0.0008358686,0.0021338738,0.000059365542,0.0010556751,5.8414184e-7,8.2264177e-7,0.00004449216,0.000055579854],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99803936,0.00004790137,0.0013861413,0.00021038775,0.000036666068,0.0002795587],"domain_scores_gemma":[0.99647856,0.0004999932,0.002549295,0.00032123912,0.00003866552,0.00011224511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024742808,0.0001925665,0.0006840566,0.00030376817,0.00023508281,0.0002334271,0.00035982026,0.00012364928,0.00003048568],"category_scores_gemma":[0.00037389316,0.00017034859,0.00030183108,0.000098488774,0.00013634787,0.00036942426,0.000049197373,0.00026700672,0.000040906667],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003743599,0.00015731582,0.2878482,0.00027537174,0.00107319,0.000011039009,0.0011505623,0.0698794,0.00031514277,0.17984924,0.008514,0.44718295],"study_design_scores_gemma":[0.020224452,0.010992772,0.036244728,0.0009390981,0.00051487406,0.00050048,0.0006187431,0.05386167,0.038795475,0.3422272,0.4918359,0.00324463],"about_ca_topic_score_codex":0.00007401309,"about_ca_topic_score_gemma":0.000054410808,"teacher_disagreement_score":0.48332188,"about_ca_system_score_codex":0.000212827,"about_ca_system_score_gemma":0.000071969494,"threshold_uncertainty_score":0.6946614},"labels":[],"label_agreement":null},{"id":"W2060610867","doi":"10.5539/ijef.v6n2p115","title":"Herding Behavior in China Housing Market","year":2014,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Herding; Quantile regression; Real estate; Herd behavior; China; Financial economics; Financial crisis; Economics; Real estate investment trust; Business; Econometrics; Finance; Geography; Macroeconomics","score_opus":0.016142387835089367,"score_gpt":0.21666653167312103,"score_spread":0.20052414383803166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060610867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.963174,0.00032582635,0.00052248366,0.00071192713,0.0015182835,0.00004645283,0.00001569018,0.0000031965942,0.03368215],"genre_scores_gemma":[0.9908146,0.006739225,0.0017977161,0.00015248908,0.00034803385,0.0000025775964,0.0000014421774,0.00001972861,0.00012417635],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987147,0.000011420509,0.00087553135,0.0002026586,0.00001743108,0.00017828212],"domain_scores_gemma":[0.9990035,0.000053402506,0.0007538285,0.00011304945,0.00003534301,0.000040836145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009877963,0.00012189053,0.00037423475,0.00035924226,0.00003868633,0.00014479429,0.0003102692,0.00007517513,0.00006578264],"category_scores_gemma":[0.00009018596,0.00015079517,0.00010492609,0.000047145535,0.000047157268,0.00046036698,0.000069837464,0.00017263327,0.000014589013],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029572746,0.00027080203,0.39631882,0.000015974376,0.00011310573,0.00005358083,0.0005949767,0.010646973,0.000012542989,0.41986576,0.0006833148,0.1711284],"study_design_scores_gemma":[0.0034997028,0.0002311596,0.41707173,0.00013024065,0.000013732723,0.0002518287,0.00007634238,0.15369597,0.000067661575,0.1578574,0.2663549,0.0007493357],"about_ca_topic_score_codex":0.00006811199,"about_ca_topic_score_gemma":0.000059948845,"teacher_disagreement_score":0.26567158,"about_ca_system_score_codex":0.00015597904,"about_ca_system_score_gemma":0.000021771037,"threshold_uncertainty_score":0.61492485},"labels":[],"label_agreement":null},{"id":"W2060953465","doi":"10.1111/j.1467-8462.2004.00314.x","title":"Quantifying the Effect of the GST on Inflation in Australia's Capital Cities: An Intervention Analysis","year":2004,"lang":"en","type":"article","venue":"Australian Economic Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Inflation (cosmology); Quarter (Canadian coin); Economics; Null (SQL); Capital (architecture); Price index; Null hypothesis; Goods and services; Agricultural economics; Demographic economics; Monetary economics; Economy; Geography; Econometrics","score_opus":0.06725453319292081,"score_gpt":0.3083998967252605,"score_spread":0.24114536353233973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060953465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952789,0.0006320712,0.000017288636,0.00083681836,0.0004151052,0.00055860693,0.000047859412,0.000011855416,0.0022014799],"genre_scores_gemma":[0.9973134,0.002208797,0.000021131815,0.00008468495,0.00005839471,0.000038267503,0.0000301917,0.000017987946,0.00022713456],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99797714,0.0001106235,0.0012413221,0.0003827379,0.000026201069,0.0002619681],"domain_scores_gemma":[0.99836236,0.00007703422,0.00081056956,0.0006935499,0.000007544092,0.000048955895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002010276,0.00021313003,0.00075841474,0.00022943153,0.00008671365,0.00008797966,0.00046042085,0.000094911426,0.00056050776],"category_scores_gemma":[0.00007557149,0.0001636575,0.0005755047,0.00033085843,0.0001055159,0.00035727964,0.000043894273,0.00021384614,0.0003779021],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006108173,0.00010295378,0.9009181,0.0014482455,0.00058624096,0.0000021668275,0.00084530865,0.040033743,0.000006720307,0.046133976,0.00033783552,0.0095236255],"study_design_scores_gemma":[0.0034789583,0.00089943345,0.95923567,0.0035042665,0.0007481969,0.0000129145155,0.00031978308,0.0014743484,0.0007068063,0.011596268,0.0167698,0.0012535737],"about_ca_topic_score_codex":0.0025664107,"about_ca_topic_score_gemma":0.0021947823,"teacher_disagreement_score":0.058317546,"about_ca_system_score_codex":0.000396073,"about_ca_system_score_gemma":0.000015304324,"threshold_uncertainty_score":0.6673759},"labels":[],"label_agreement":null},{"id":"W2061083617","doi":"10.2139/ssrn.419470","title":"Spatial Heterogeneity in Mortgage Terminations by Refinance, Sale and Default","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Business; Synthetic CDO; Financial system; Finance; Mortgage insurance","score_opus":0.010897152576274688,"score_gpt":0.2101674886881059,"score_spread":0.1992703361118312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061083617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9612334,0.0031465527,0.005137881,0.00018522116,0.00020342521,0.00007822268,0.000017153494,0.0000119504675,0.029986206],"genre_scores_gemma":[0.9901929,0.008699936,0.00013320462,0.000049337097,0.000048636037,0.0000060154157,0.0000047139465,0.000022614991,0.0008426602],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99808234,0.000031339318,0.0004821668,0.00025665286,0.000022493043,0.0011250192],"domain_scores_gemma":[0.9995257,0.00002521728,0.0002319175,0.00014071414,0.000012114733,0.00006431166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017047588,0.00013025849,0.00025981833,0.00018126502,0.00015600957,0.000077111144,0.00012223952,0.00009295735,0.00004137479],"category_scores_gemma":[0.000102523154,0.00015939557,0.000064622516,0.00012080075,0.00004114431,0.00023634966,0.000018699566,0.0007267821,0.000046370333],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032880027,0.00021416624,0.5220617,0.000013144314,0.0000740543,0.000007929537,0.00023035465,0.00007385653,0.000083563464,0.45066008,0.0003576421,0.026190655],"study_design_scores_gemma":[0.0031785595,0.00032209232,0.05060392,0.000024968673,0.000015163852,0.00054955675,0.00038314334,0.002095842,0.00024154445,0.8150905,0.12660472,0.0008899939],"about_ca_topic_score_codex":0.00029932923,"about_ca_topic_score_gemma":0.0032997392,"teacher_disagreement_score":0.47145778,"about_ca_system_score_codex":0.0005699832,"about_ca_system_score_gemma":0.000192213,"threshold_uncertainty_score":0.6499962},"labels":[],"label_agreement":null},{"id":"W2061313274","doi":"10.1111/j.1744-7976.2009.01164.x","title":"Land Market Interactions between Heterogeneous Agents in a Heterogeneous Landscape—Tracing the Macro‐Scale Effects of Individual Trade‐Offs between Environmental Amenities and Disamenities","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Spatial econometrics; Spatial heterogeneity; Geography; Economics; Clearing; Welfare economics; Economic geography; Econometrics; Finance; Ecology","score_opus":0.022719997770709613,"score_gpt":0.17402423752613333,"score_spread":0.15130423975542373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061313274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945887,0.0008219419,0.000002901813,0.0014023677,0.00056324335,0.00030413267,0.0009516437,0.00000601185,0.001359113],"genre_scores_gemma":[0.9985346,0.00042005893,0.00005283435,0.00024473298,0.00052774744,0.000008649604,0.00007263329,0.000028900986,0.00010983658],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99731356,0.000059495203,0.0014796882,0.0003913795,0.000013862062,0.000742028],"domain_scores_gemma":[0.9976807,0.00033368717,0.0010376589,0.00023812412,0.000013426219,0.00069635897],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005125895,0.00037783288,0.0010433056,0.0005236443,0.00023887232,0.00026836136,0.0005416098,0.00016444102,0.00018675384],"category_scores_gemma":[0.000041680323,0.00035404076,0.00028782673,0.0000915627,0.0002026866,0.00056782726,0.000040304207,0.0004099157,0.000010400588],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049939983,0.000043179174,0.975954,0.000091049005,0.000530459,0.00007408401,0.00947864,0.001976882,0.0000075091616,0.00028163192,0.00066929363,0.010843323],"study_design_scores_gemma":[0.0010927793,0.00041592206,0.9878733,0.000111806236,0.00010696856,0.00042815937,0.0016048403,0.00014217816,0.00013794024,0.003490214,0.0040166676,0.0005791804],"about_ca_topic_score_codex":0.004466613,"about_ca_topic_score_gemma":0.18309414,"teacher_disagreement_score":0.17862752,"about_ca_system_score_codex":0.000890026,"about_ca_system_score_gemma":0.00010591841,"threshold_uncertainty_score":0.99989116},"labels":[],"label_agreement":null},{"id":"W2061574158","doi":"10.1108/14635780510584346","title":"The Swedish property crisis in retrospect: a new look at appraisal bias","year":2005,"lang":"en","type":"article","venue":"Journal of Property Investment and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Database transaction; Reservation; Economics; Value (mathematics); Property (philosophy); Set (abstract data type); Originality; Quality (philosophy); Property value; Market value; Actuarial science; Property market; Econometrics; Financial economics; Accounting; Real estate; Finance; Database; Computer science; Statistics; Political science; Law; Mathematics","score_opus":0.04315661665967015,"score_gpt":0.22743988762760367,"score_spread":0.1842832709679335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061574158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86120594,0.015420804,0.000112205285,0.034479797,0.0013628317,0.0004513556,0.000013428263,0.000021055137,0.08693256],"genre_scores_gemma":[0.92895263,0.031113256,0.0035482752,0.0026475377,0.0011079363,0.000014906098,0.0000019991223,0.000054932636,0.03255855],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982348,0.000024233364,0.0010537547,0.00026919096,0.00006147249,0.00035656974],"domain_scores_gemma":[0.9988126,0.000060253715,0.0007375813,0.00024955886,0.00003657894,0.000103429484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012189854,0.00018951125,0.00046963117,0.00013715234,0.00019719708,0.0001670029,0.00030546723,0.000084839565,0.000053781838],"category_scores_gemma":[0.00021943839,0.00010212849,0.00012448449,0.000166693,0.00011162351,0.00050486124,0.00010736831,0.0002911531,0.00009458685],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009877657,0.0005778011,0.24241091,0.00007421134,0.00018634643,0.00007741366,0.00484786,0.0006772908,0.000079899655,0.06614113,0.5924523,0.0914871],"study_design_scores_gemma":[0.0012132686,0.00021559506,0.009510389,0.000047787213,0.0000075131816,0.00006625565,0.00008692092,0.002758985,0.00008311407,0.00668724,0.97908366,0.00023929808],"about_ca_topic_score_codex":0.00017703789,"about_ca_topic_score_gemma":0.00037838737,"teacher_disagreement_score":0.38663137,"about_ca_system_score_codex":0.0003132096,"about_ca_system_score_gemma":0.00009019739,"threshold_uncertainty_score":0.4164679},"labels":[],"label_agreement":null},{"id":"W2061792978","doi":"10.1111/1468-2427.00342","title":"Three Dimensions of Capital Switching within the Real Estate Sector: A Canadian Case Study","year":2001,"lang":"en","type":"article","venue":"International Journal of Urban and Regional Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Real estate investment trust; Capital (architecture); Business; Corporate Real Estate; Real estate development; Metropolitan area; Property management; Finance; Investment (military); Geography","score_opus":0.12121521739677836,"score_gpt":0.3216465454515405,"score_spread":0.2004313280547621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061792978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871525,0.00019869882,0.000035399877,0.0020138817,0.00043818535,0.00010817006,0.00001608288,0.0000020976483,0.010034975],"genre_scores_gemma":[0.9981157,0.0013205492,0.00008242932,0.00004101209,0.00030550017,0.0000020087214,0.0000013498351,0.0000124346325,0.0001189796],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99882036,0.000045745477,0.0005955232,0.0001502218,0.00017964537,0.00020849309],"domain_scores_gemma":[0.9987428,0.0002754715,0.0003197297,0.00013190907,0.00034289662,0.00018719147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025521228,0.00008265214,0.00020412508,0.00062686467,0.00020592098,0.000110978515,0.00035187334,0.000046443005,0.000054604334],"category_scores_gemma":[0.0001651758,0.000059624086,0.00008369792,0.00014255838,0.00014021838,0.00018501186,0.00007749504,0.00040933842,0.000010558177],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038630026,0.00038739364,0.9127611,0.000008905623,0.00065024465,0.006304481,0.018729076,0.0003896228,0.000038128946,0.04967573,0.0033981884,0.007270818],"study_design_scores_gemma":[0.011109247,0.0036672228,0.39908966,0.00043131408,0.000093583636,0.04385455,0.0995152,0.039474823,0.00003546218,0.2823415,0.11889645,0.0014909732],"about_ca_topic_score_codex":0.16345923,"about_ca_topic_score_gemma":0.1871095,"teacher_disagreement_score":0.51367146,"about_ca_system_score_codex":0.00021507885,"about_ca_system_score_gemma":0.00028515354,"threshold_uncertainty_score":0.84211135},"labels":[],"label_agreement":null},{"id":"W2062676737","doi":"10.1111/j.1080-8620.2004.00084.x","title":"The Economics of Maintenance for Real Estate Investments","year":2004,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Subsidy; Finance; Real estate; Profit (economics); Economics; Investment (military); Business; Microeconomics; Market economy","score_opus":0.025141340092589674,"score_gpt":0.21746682629188707,"score_spread":0.1923254861992974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062676737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7642488,0.000020503936,0.00041263737,0.00063167285,0.0010588885,0.0005541821,0.00055330375,0.000051302097,0.23246872],"genre_scores_gemma":[0.5690275,0.41967493,0.008899791,0.00026288469,0.00038782042,0.00019781226,0.0001775284,0.0002412632,0.0011304754],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967389,0.000015843483,0.0016853106,0.0007026494,0.000017552804,0.00083972374],"domain_scores_gemma":[0.9973701,0.00026635453,0.0012887988,0.0007952919,0.000058781214,0.0002206495],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012170153,0.00037702426,0.00081074925,0.00017959542,0.00034905502,0.00019130067,0.000658817,0.00018621236,0.000016717844],"category_scores_gemma":[0.00009974291,0.00040397045,0.00035080692,0.00010483621,0.00033834792,0.00048218112,0.00013625201,0.00017660226,0.00017395444],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050595106,0.00020990115,0.0082897395,0.00012498908,0.00035478166,0.0000033902336,0.0018824362,0.036221653,0.000016227492,0.79330355,0.00054419524,0.15854317],"study_design_scores_gemma":[0.007826572,0.0006733108,0.011278756,0.000057265115,0.000060129245,0.000026991665,0.0010860704,0.036423218,0.00067537493,0.5641021,0.37596345,0.0018267464],"about_ca_topic_score_codex":0.0029672273,"about_ca_topic_score_gemma":0.002111611,"teacher_disagreement_score":0.41965443,"about_ca_system_score_codex":0.0008226856,"about_ca_system_score_gemma":0.00023210037,"threshold_uncertainty_score":0.9998412},"labels":[],"label_agreement":null},{"id":"W2064706230","doi":"10.1111/j.1540-6229.2009.00237.x","title":"Real Estate for the Long Term: The Effect of Return Predictability on Long‐Horizon Allocations","year":2009,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":124,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Real estate; Predictability; Real estate investment trust; Economics; Capitalization rate; Cost approach; Financial economics; Mean reversion; Transaction cost; Asset allocation; Monetary economics; Investment (military); Finance; Portfolio; Mathematics","score_opus":0.0176386881053938,"score_gpt":0.23751472541003654,"score_spread":0.21987603730464275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064706230","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.913591,0.000023190663,0.0004212557,0.0011185596,0.0006845755,0.0010897814,0.00032550763,0.00005560962,0.08269052],"genre_scores_gemma":[0.973692,0.025378613,0.0001164217,0.00005945548,0.00027560326,0.00008682202,0.000096757736,0.000050895032,0.00024341556],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9977403,0.0000615977,0.0010886163,0.0005745368,0.000027860871,0.0005070502],"domain_scores_gemma":[0.9969024,0.001187864,0.0007410421,0.0010189082,0.000036377245,0.00011338436],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022756031,0.0003200381,0.0006442073,0.000121635225,0.00034744976,0.00014795938,0.00061262,0.00015840356,0.00003604331],"category_scores_gemma":[0.00016991598,0.00025179132,0.0003341932,0.0001237641,0.00021393248,0.0002644938,0.000057288948,0.00026081695,0.000059832266],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012373464,0.00021004095,0.24642532,0.00016786387,0.00030889694,0.0000026999644,0.0016926649,0.012710815,0.000016173377,0.012402878,0.00084974745,0.72397554],"study_design_scores_gemma":[0.003921945,0.0048715775,0.8638332,0.000065869615,0.00020679674,0.000018890189,0.00018084637,0.10037803,0.0010399666,0.012339267,0.011914868,0.0012287763],"about_ca_topic_score_codex":0.0007291714,"about_ca_topic_score_gemma":0.0008943389,"teacher_disagreement_score":0.7227468,"about_ca_system_score_codex":0.00034160345,"about_ca_system_score_gemma":0.00006743284,"threshold_uncertainty_score":0.99999344},"labels":[],"label_agreement":null},{"id":"W2064734223","doi":"10.1080/13504850601057823","title":"Preferences and observed risk premia: an empirical analysis","year":2007,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Conference Board of Canada; Université Laval","funders":"","keywords":"Economics; Capital asset pricing model; Econometrics; Risk premium; Consumption (sociology); Marginal utility; Consumption-based capital asset pricing model; Covariance; Risk aversion (psychology); Constant (computer programming); Asset (computer security); Empirical evidence; Security market line; Financial economics; Microeconomics; Expected utility hypothesis; Stock market; Mathematics; Statistics; Computer science","score_opus":0.04526953548722565,"score_gpt":0.2256377250540796,"score_spread":0.18036818956685396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064734223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9590636,0.00006402705,0.0068970835,0.00039025457,0.00022038439,0.00020976213,0.000068076486,0.00008264675,0.033004154],"genre_scores_gemma":[0.993095,0.00044771688,0.004540307,0.0015510911,0.00020845793,0.000017267097,0.000068129026,0.000044017735,0.000028014365],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99754065,0.00001606638,0.00095443,0.0008947084,0.000018958472,0.0005752125],"domain_scores_gemma":[0.9983922,0.00018214152,0.0005692256,0.00057750265,0.000008816476,0.00027007877],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018260805,0.0002915542,0.00071927946,0.0005068352,0.00021139393,0.00023269348,0.0003393461,0.00021275843,0.00015226667],"category_scores_gemma":[0.00002431015,0.0003706259,0.00017308054,0.00028098846,0.00014830616,0.0003529447,0.000102789934,0.0002838482,0.00019067805],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001173311,0.00008240427,0.96084756,0.000013629383,0.0006613292,0.0000012934685,0.00092671724,0.004387965,0.00003790966,0.02020297,0.0003636034,0.012357319],"study_design_scores_gemma":[0.0014793309,0.000070453156,0.93141264,0.0000029512753,0.00026764983,0.0000054843345,0.00033591184,0.014730141,0.00019126598,0.038589854,0.011614422,0.0012998956],"about_ca_topic_score_codex":0.0003265744,"about_ca_topic_score_gemma":0.0010488076,"teacher_disagreement_score":0.034031387,"about_ca_system_score_codex":0.00017906993,"about_ca_system_score_gemma":0.000013715274,"threshold_uncertainty_score":0.9998746},"labels":[],"label_agreement":null},{"id":"W2066350153","doi":"10.1111/j.1540-6229.2005.00130.x","title":"Why Do We Have Urban Density Controls?","year":2005,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Welfare; Limit (mathematics); Economics; Microeconomics; Mathematics; Market economy; Mathematical analysis","score_opus":0.01872590188513885,"score_gpt":0.20172223312494672,"score_spread":0.18299633123980788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066350153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6214936,0.00023707721,0.000434755,0.0032237186,0.0006362363,0.00025054542,0.00016311267,0.00012267483,0.37343827],"genre_scores_gemma":[0.9351806,0.058651138,0.0020018085,0.0013744712,0.0010404665,0.000026691121,0.000048962433,0.00012552724,0.0015503365],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973047,0.000022092387,0.0011494288,0.00078123395,0.000019989393,0.00072255],"domain_scores_gemma":[0.99825096,0.00011639487,0.0006135814,0.0006911531,0.00003175497,0.00029613732],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007278198,0.00037009257,0.00084846123,0.0002660416,0.0002030036,0.00032213793,0.00040425177,0.00023312189,0.0007069187],"category_scores_gemma":[0.00004794966,0.0004884724,0.00028094754,0.00007763553,0.00012565215,0.00070939853,0.00012447541,0.0002714807,0.002479637],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004957549,0.0005794156,0.20220666,0.00010707763,0.00053245143,0.0000321838,0.004787768,0.0118485745,0.000030412068,0.27939904,0.05729562,0.44268507],"study_design_scores_gemma":[0.0012769584,0.00006253144,0.0027511567,0.000010945351,0.00001414791,0.000015959173,0.00013586866,0.03462897,0.00007211011,0.014640922,0.9457052,0.00068523834],"about_ca_topic_score_codex":0.0010274745,"about_ca_topic_score_gemma":0.0016539786,"teacher_disagreement_score":0.88840955,"about_ca_system_score_codex":0.0006151487,"about_ca_system_score_gemma":0.00005483238,"threshold_uncertainty_score":0.9997567},"labels":[],"label_agreement":null},{"id":"W2066459905","doi":"10.1007/s11146-011-9333-0","title":"Estimating Transaction-Based Price Indices of Local Commercial Real Estate Markets Using Public Assessment Data","year":2011,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Real Estate Research Institute","keywords":"Real estate; Price index; Index (typography); Econometrics; Database transaction; Economics; Hedonic index; Price level; Producer price index; Mid price; Monetary economics; Computer science; Finance; Database","score_opus":0.10012122894067087,"score_gpt":0.27017775606178623,"score_spread":0.17005652712111535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066459905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94965696,0.000042539305,0.025031159,0.00016828305,0.0005440585,0.00012565815,0.00017557613,0.000008973299,0.024246799],"genre_scores_gemma":[0.95011514,0.029761199,0.019914903,0.00003986345,0.00010736855,0.0000013289432,0.000016181362,0.000036582434,0.000007399351],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977632,0.00006776928,0.0014793343,0.00027899182,0.000040159026,0.00037052907],"domain_scores_gemma":[0.99671847,0.00018851124,0.002400222,0.0005145626,0.000066001274,0.00011221438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031918173,0.00023251651,0.0007113058,0.00025083552,0.0002322848,0.000083808765,0.0007194183,0.00011240673,0.000048483387],"category_scores_gemma":[0.000028676497,0.0002248022,0.000105420026,0.00013692131,0.00034678285,0.0011469033,0.00010613812,0.00034022634,0.0000044478643],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017107109,0.000656517,0.12710781,0.0004011451,0.0005391875,0.000031130716,0.007009763,0.055302422,0.00003147952,0.005387093,0.00016852788,0.8016542],"study_design_scores_gemma":[0.0021660463,0.00043415578,0.10730695,0.00011591477,0.00012719727,0.00012126147,0.0012752849,0.88084525,0.000117339245,0.0032386389,0.0036384703,0.0006135132],"about_ca_topic_score_codex":0.0027132716,"about_ca_topic_score_gemma":0.000528043,"teacher_disagreement_score":0.8255428,"about_ca_system_score_codex":0.00019072712,"about_ca_system_score_gemma":0.00030000412,"threshold_uncertainty_score":0.9167168},"labels":[],"label_agreement":null},{"id":"W2066677124","doi":"10.1007/s11146-013-9413-4","title":"The Economic Effects of Legal Restrictions on High-Cost Mortgages","year":2013,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Guelph","keywords":"Economics; Legislation; Monetary economics; Attractiveness; Business; Law","score_opus":0.010011927157952382,"score_gpt":0.19586613878730513,"score_spread":0.18585421162935276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066677124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.979553,0.00023930975,0.000046333338,0.0013089466,0.0010604128,0.00024738137,0.000028506669,0.000006664107,0.017509451],"genre_scores_gemma":[0.81410164,0.1851896,0.00011316366,0.000076341465,0.00018026086,0.000009625156,0.0000014378948,0.000024446908,0.00030347973],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99840266,0.000036643163,0.0010510929,0.00017279574,0.000019250332,0.0003175501],"domain_scores_gemma":[0.99743813,0.00068326737,0.0013911611,0.00037525324,0.000035373956,0.0000768327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009358687,0.00018967902,0.00050953083,0.00014318152,0.00031798822,0.00014497094,0.00041414626,0.00008073881,0.000018213468],"category_scores_gemma":[0.000061731975,0.00014128572,0.00013905454,0.00006283254,0.00022815439,0.0005289738,0.000065206485,0.00029308334,0.00012431444],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009927723,0.00027563848,0.027328344,0.00017716952,0.0007556376,0.000018139961,0.0026585092,0.08389373,0.000068410096,0.47028425,0.019695923,0.3938515],"study_design_scores_gemma":[0.005574443,0.0027957303,0.38024807,0.00023385217,0.00018912436,0.00030494545,0.0012126674,0.030899085,0.0016994685,0.12054347,0.45478195,0.0015171699],"about_ca_topic_score_codex":0.002374821,"about_ca_topic_score_gemma":0.00026436232,"teacher_disagreement_score":0.43508604,"about_ca_system_score_codex":0.00019919472,"about_ca_system_score_gemma":0.00008447871,"threshold_uncertainty_score":0.5761464},"labels":[],"label_agreement":null},{"id":"W2070262352","doi":"10.1068/a39153","title":"The Redistribution of Residential Property Values in Montreal, Toronto, and Vancouver: Examining Neoclassical and Marxist Views on Changing Investment Patterns","year":2008,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Metropolitan area; Real estate; Marxist philosophy; Census; Property value; Inner city; Census tract; Investment (military); Economic geography; Redistribution (election); Residential real estate; Geography; Demographic economics; Value (mathematics); Economics; Sociology; Economy; Demography; Political science; Finance; Population; Law; Archaeology","score_opus":0.030724918317956686,"score_gpt":0.1958625675021488,"score_spread":0.16513764918419213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070262352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9778515,0.0026219613,0.00013553812,0.00018138619,0.00009037426,0.00016029476,0.000018575769,0.000005975256,0.018934404],"genre_scores_gemma":[0.9906472,0.008563131,0.0000800998,0.00006102981,0.000066038265,0.000015255162,0.00000793595,0.000009099073,0.00055023265],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991106,0.000026300553,0.00031743638,0.0003172167,0.000017377062,0.00021107568],"domain_scores_gemma":[0.9995272,0.000105211504,0.00017811087,0.000117602765,0.000001588139,0.00007024764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048801964,0.00014104207,0.00028021133,0.000055234377,0.00026422975,0.000053840635,0.000041924835,0.00006878414,0.000016584718],"category_scores_gemma":[0.00001877556,0.000117234325,0.000018047846,0.00001645238,0.00014765326,0.0001856196,0.000077729725,0.00009314545,0.0000016200866],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015969602,0.00005407347,0.9775865,0.00006246109,0.00004711216,0.000015764474,0.0071432665,0.00010833426,0.00001009306,0.002993015,0.0014494456,0.010370219],"study_design_scores_gemma":[0.0019526712,0.00048629145,0.9160951,0.00018058404,0.000020176873,0.000026262946,0.004456833,0.018300256,0.00007568731,0.004875117,0.05293833,0.0005927079],"about_ca_topic_score_codex":0.0006414236,"about_ca_topic_score_gemma":0.00057932775,"teacher_disagreement_score":0.061491437,"about_ca_system_score_codex":0.000073885334,"about_ca_system_score_gemma":0.0000044202297,"threshold_uncertainty_score":0.47806773},"labels":[],"label_agreement":null},{"id":"W2072705502","doi":"10.5539/jsd.v4n4p91","title":"An Assessment of Lodgers’ Value Perception of Hotel Facilities and Services","year":2011,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Closeness; Perception; Accommodation; Business; Marketing; Value (mathematics); Service (business); Affect (linguistics); Hotel industry; Hedonic pricing; Economics; Computer science; Psychology; Tourism; Geography; Econometrics","score_opus":0.02386161844279635,"score_gpt":0.2333964574304657,"score_spread":0.20953483898766934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072705502","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870739,0.000154272,0.0012246312,0.000019300374,0.00010405748,0.000081922146,0.0000042661914,0.0000032802366,0.011334345],"genre_scores_gemma":[0.9843247,0.00035952183,0.01490091,0.000017696786,0.000020454472,0.0000017451363,0.0000015856803,0.000009915397,0.00036350425],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986823,0.00001652753,0.00093841867,0.00012351529,0.00004727007,0.00019193467],"domain_scores_gemma":[0.9987165,0.00001665419,0.00089283317,0.000119053715,0.00017796915,0.00007699052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001245306,0.000103561455,0.0004130573,0.00035507113,0.000056469322,0.000027239217,0.0001646717,0.00006487585,0.00020571896],"category_scores_gemma":[0.0000138737805,0.00010950441,0.000056696314,0.00008435177,0.000053314106,0.0005294154,0.000048036738,0.00008839871,0.0000019850188],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021316997,0.00062578334,0.87262225,0.0020618064,0.0003178809,0.000038473943,0.07801519,0.00048355677,0.00027804438,0.037582356,0.000083426756,0.0076780855],"study_design_scores_gemma":[0.0006220034,0.00028239074,0.92152226,0.00005492029,0.000012317577,0.000013119313,0.06233426,0.00063123804,0.00036334872,0.01001978,0.003937195,0.00020717978],"about_ca_topic_score_codex":0.00020916217,"about_ca_topic_score_gemma":0.000007899247,"teacher_disagreement_score":0.048900016,"about_ca_system_score_codex":0.00021064338,"about_ca_system_score_gemma":0.00015495848,"threshold_uncertainty_score":0.44654605},"labels":[],"label_agreement":null},{"id":"W2073252666","doi":"10.1680/stbu.2009.162.3.161","title":"Britain's tall building boom: now bust?","year":2009,"lang":"en","type":"article","venue":"Proceedings of the Institution of Civil Engineers - Structures and Buildings","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Boom; Bust; Quarter (Canadian coin); Recession; Index (typography); Economics; Economy; Engineering; Geography; Archaeology; Macroeconomics","score_opus":0.008661932152740201,"score_gpt":0.18895703993938662,"score_spread":0.18029510778664642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073252666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.967255,0.00065215334,0.00077054475,0.0007359922,0.00039535522,0.00017622871,0.000022555467,0.000041971638,0.02995023],"genre_scores_gemma":[0.9964616,0.00042051735,0.00280324,0.00011504803,0.00010917421,0.000002062617,0.0000010451308,0.0000144077585,0.00007295233],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987969,0.0000012349054,0.00057353306,0.00029798722,0.0000640646,0.00026631498],"domain_scores_gemma":[0.999206,0.000016067852,0.0005077947,0.000118350355,0.000079413265,0.00007237844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034659044,0.00020213221,0.0004297715,0.00023125102,0.0001362982,0.00007300498,0.00035461033,0.00014168539,0.00002625194],"category_scores_gemma":[0.00016617261,0.00018912698,0.00015203413,0.00026092597,0.00018341388,0.0004223816,0.00008131087,0.00018424299,0.0000010271538],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004172507,0.000028917875,0.0065808035,0.00019112338,0.000050348706,2.688625e-7,0.00036747765,0.0020388144,0.0076753288,0.97951156,0.0012973001,0.002216341],"study_design_scores_gemma":[0.0030463915,0.00047100853,0.108806886,0.0006701333,0.00013333964,0.0001271149,0.00042068516,0.013968214,0.040823225,0.72346485,0.10634738,0.0017207774],"about_ca_topic_score_codex":0.000050286206,"about_ca_topic_score_gemma":0.000005155821,"teacher_disagreement_score":0.2560467,"about_ca_system_score_codex":0.00006860764,"about_ca_system_score_gemma":0.000016866317,"threshold_uncertainty_score":0.77123743},"labels":[],"label_agreement":null},{"id":"W2073303950","doi":"10.3905/jfi.2000.319236","title":"Anatomy of Prepayments","year":2000,"lang":"en","type":"article","venue":"The Journal of Fixed Income","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Smiths Detection (Canada)","funders":"","keywords":"Prepayment of loan; Equity (law); Demographics; Econometrics; Computer science; Actuarial science; Economics; Finance","score_opus":0.016205764681314707,"score_gpt":0.23016033952249676,"score_spread":0.21395457484118205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073303950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9047613,0.00038817682,0.00006718616,0.00028080118,0.00022482667,0.000041203126,0.000009771079,0.0000035502674,0.09422319],"genre_scores_gemma":[0.9977642,0.0010828662,0.00027076981,0.000088073546,0.00009528052,3.2029337e-7,3.7804173e-7,0.000010752457,0.0006873209],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99899495,0.00002206416,0.0007630011,0.00005930297,0.000029051871,0.00013164294],"domain_scores_gemma":[0.999031,0.00006691177,0.00061988115,0.00020993323,0.00002567779,0.000046564342],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012070839,0.000071617105,0.00031092652,0.00012065831,0.000046670564,0.000015603666,0.0003376353,0.000041658666,0.0022063977],"category_scores_gemma":[0.000035671404,0.000058060963,0.00011418018,0.000114615046,0.0000535285,0.00018405722,0.000022436108,0.00013063123,0.00016712923],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022990983,0.0010134956,0.7596111,0.00023485554,0.0014286874,0.000037703678,0.008634818,0.0072270413,0.00048245414,0.040475458,0.017099097,0.16145615],"study_design_scores_gemma":[0.0058547035,0.0011909779,0.3681719,0.00026708742,0.00012443034,0.00036681432,0.00038012117,0.0053067217,0.002125175,0.16371952,0.45154488,0.0009476844],"about_ca_topic_score_codex":0.000043633612,"about_ca_topic_score_gemma":0.0000035771639,"teacher_disagreement_score":0.43444577,"about_ca_system_score_codex":0.000053566408,"about_ca_system_score_gemma":0.000018187853,"threshold_uncertainty_score":0.99870574},"labels":[],"label_agreement":null},{"id":"W2076252625","doi":"10.1080/0042098032000146830","title":"The Suburban Origins of Redlining: A Canadian Case Study, 1935-54","year":2003,"lang":"en","type":"article","venue":"Urban Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hamilton Health Sciences; McMaster University","funders":"","keywords":"Disinvestment; Metropolitan area; Context (archaeology); Geography; Neighbourhood (mathematics); Securitization; Property insurance; Demographic economics; Economic geography; Economic growth; Business; Finance; Economics; Insurance policy; Market economy","score_opus":0.07224565532313151,"score_gpt":0.25608766566001256,"score_spread":0.18384201033688105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076252625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9010949,0.005466784,0.000006278177,0.00022452306,0.00092940865,0.00024862165,0.00003323826,0.000017405373,0.09197885],"genre_scores_gemma":[0.99777097,0.00055744237,0.00008927896,0.00006685776,0.00008321807,0.000024842537,9.645039e-7,0.000024501802,0.001381944],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99840397,0.00004403582,0.0007806421,0.00033044865,0.000028033031,0.00041287197],"domain_scores_gemma":[0.99875575,0.00023166068,0.00032246273,0.0005107398,0.00006385512,0.00011551348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015957648,0.00017496894,0.0005269475,0.00018253525,0.00056793954,0.00006699486,0.00019052552,0.00005248674,0.00005404731],"category_scores_gemma":[0.0005637858,0.00015487401,0.000113114205,0.00023101023,0.00016062472,0.000085527055,0.000042142612,0.0001297299,0.00010854332],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008889568,0.00008091372,0.7936458,0.000014755954,0.00043339064,0.0002193902,0.011472811,0.000018258848,2.777286e-7,0.17478967,0.018450473,0.00086539],"study_design_scores_gemma":[0.0007811995,0.00020366594,0.0058985986,0.000011154004,0.000035640103,0.00011670875,0.02376501,0.00011954617,0.0000132754785,0.008806946,0.95982826,0.00041999397],"about_ca_topic_score_codex":0.05896126,"about_ca_topic_score_gemma":0.25028646,"teacher_disagreement_score":0.9413778,"about_ca_system_score_codex":0.00041820254,"about_ca_system_score_gemma":0.000099126184,"threshold_uncertainty_score":0.9473052},"labels":[],"label_agreement":null},{"id":"W2077446825","doi":"10.1007/s10901-010-9207-4","title":"Building towards water efficiency: the influence of capacity and capability on innovation adoption in the Canadian home-building and resale industries","year":2010,"lang":"en","type":"article","venue":"Journal of Housing and the Built Environment","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria; University of Waterloo","funders":"Alberta Real Estate Foundation","keywords":"Investment (military); Business; Government (linguistics); Private sector; Water efficiency; Legislature; Benchmarking; Environmental economics; Marketing; Economics; Economic growth","score_opus":0.021890916745806562,"score_gpt":0.20391979328559962,"score_spread":0.18202887653979305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077446825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967312,0.00012132538,0.00007615824,0.0026374226,0.000100546305,0.00011744311,0.0000050236504,0.0000012953094,0.00020958552],"genre_scores_gemma":[0.99918884,0.0003309971,0.00027809915,0.00014107914,0.00005031167,0.0000019163697,2.4964493e-7,0.0000063928596,0.000002091267],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991227,0.000051682,0.00048355773,0.00012721596,0.00005519766,0.00015964305],"domain_scores_gemma":[0.99934584,0.00011679414,0.0003167544,0.00017267553,0.00001420845,0.000033717923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004153835,0.00009362076,0.00021318329,0.00017845626,0.00028327564,0.00010837801,0.00014560999,0.00008007053,0.000004279812],"category_scores_gemma":[0.00015292398,0.00005157995,0.00002355678,0.00009499054,0.0004798814,0.00014460689,0.000044508648,0.00043329195,4.5474752e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050264044,0.00022947417,0.7329101,0.000110779336,0.000116831725,0.000009497359,0.025601463,0.035890214,0.0061770026,0.1400193,0.00004275255,0.058389943],"study_design_scores_gemma":[0.001438067,0.00015834118,0.93885875,0.0000642003,0.000025368845,0.00006796126,0.0004942515,0.0019284657,0.0012994868,0.050565623,0.0048811086,0.00021838187],"about_ca_topic_score_codex":0.009322314,"about_ca_topic_score_gemma":0.0027017384,"teacher_disagreement_score":0.20594865,"about_ca_system_score_codex":0.00008982963,"about_ca_system_score_gemma":0.000026135936,"threshold_uncertainty_score":0.9972747},"labels":[],"label_agreement":null},{"id":"W2077664066","doi":"10.3141/1977-24","title":"Conceptual Model of Location of Small Office Firms","year":2006,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Conceptual model; Process (computing); Utility maximization; Homogeneous; Market segmentation; Conceptual framework; Maximization; Population; Location model; Proposition; Computer science; Industrial organization; Business; Econometrics; Economics; Marketing; Microeconomics; Mathematical economics; Mathematics","score_opus":0.12986220754019795,"score_gpt":0.3130196420994494,"score_spread":0.18315743455925143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077664066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837608,0.0003736174,0.012031317,0.0006480195,0.0002752632,0.00046479132,0.00014349582,0.000009668436,0.00229307],"genre_scores_gemma":[0.9951501,0.0006743594,0.0033695002,0.000012849519,0.00010693103,0.000016229838,0.000022723374,0.000040613595,0.00060668815],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959186,0.00022120589,0.0024274504,0.00031836078,0.00057759177,0.0005367956],"domain_scores_gemma":[0.99503005,0.00052876346,0.001299272,0.00042584352,0.002573668,0.00014238918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004673458,0.00017447697,0.00062950025,0.0009616064,0.00020275312,0.000042555916,0.0008302991,0.000189453,0.00019570666],"category_scores_gemma":[0.00019143874,0.00016343813,0.00033107342,0.001501597,0.0008157626,0.000424428,0.000006764646,0.00091220776,0.00002031609],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002798804,0.0008376056,0.56637126,0.00073197024,0.00020205768,0.0000115050025,0.0042171436,0.15710755,0.0036039979,0.25830758,0.0035983638,0.002212171],"study_design_scores_gemma":[0.0025106727,0.00060199783,0.9204469,0.0003597979,0.00003740591,2.954884e-7,0.0014693515,0.011784066,0.0037099724,0.05404688,0.0047183316,0.00031433313],"about_ca_topic_score_codex":0.014088301,"about_ca_topic_score_gemma":0.020767532,"teacher_disagreement_score":0.35407564,"about_ca_system_score_codex":0.00017516305,"about_ca_system_score_gemma":0.00044680972,"threshold_uncertainty_score":0.9971009},"labels":[],"label_agreement":null},{"id":"W2077872197","doi":"10.1108/02637470510580570","title":"Efficiency outcomes from space charging in UK higher education estates","year":2005,"lang":"en","type":"article","venue":"Property Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Space (punctuation); Scrutiny; Real estate; Revenue; Value (mathematics); Originality; Economics; Institution; Higher education; Quarter (Canadian coin); Actuarial science; Environmental economics; Operations research; Computer science; Business; Public economics; Finance; Accounting; Qualitative research; Sociology; Statistics; Economic growth; Mathematics; Political science; Law","score_opus":0.030976456370814837,"score_gpt":0.21798997531206146,"score_spread":0.18701351894124663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077872197","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26586792,0.0005994031,0.00029609594,0.007905312,0.0007018116,0.00035228874,0.000007201056,0.000055117558,0.72421485],"genre_scores_gemma":[0.96397716,0.0005117764,0.0026841064,0.0007293288,0.00011477733,0.00005548961,0.000015035022,0.00002244047,0.031889882],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989384,0.000008296711,0.0003926389,0.0003737424,0.000024426603,0.00026251582],"domain_scores_gemma":[0.9995316,0.000015407853,0.0001260728,0.0002776997,0.000005268857,0.000043928045],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00030353936,0.00013643477,0.00023505565,0.00022762468,0.00005765085,0.0001030524,0.0002041137,0.00003821513,0.0014124241],"category_scores_gemma":[0.000009863359,0.00011822205,0.000050933126,0.00013061243,0.000018047473,0.00019732764,0.00009265743,0.00007524531,0.0015734864],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032798962,0.0007406815,0.6291843,0.00007499173,0.00009713251,0.0000046197306,0.0011697268,0.0015605226,0.0000073002707,0.10480939,0.008579262,0.25373924],"study_design_scores_gemma":[0.00072815473,0.00001699862,0.27301332,0.00004220108,0.000008966947,1.969059e-7,0.00016208924,0.011346671,0.000026058404,0.009800962,0.7044006,0.00045375255],"about_ca_topic_score_codex":0.0008759418,"about_ca_topic_score_gemma":0.000088907254,"teacher_disagreement_score":0.6981092,"about_ca_system_score_codex":0.00024480608,"about_ca_system_score_gemma":0.000009251178,"threshold_uncertainty_score":0.9995004},"labels":[],"label_agreement":null},{"id":"W2078340948","doi":"10.1002/cjas.113","title":"Consequences of the halloween nightmare: analysis of investors&amp;otilde; response to an overnight tax legislation change in the canadian income trust sector","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Queen's University; Memorial University of Newfoundland","funders":"","keywords":"Equity (law); Economics; Legislation; Monetary economics; Cash flow; Merge (version control); Event study; Business; Finance","score_opus":0.15121363489011064,"score_gpt":0.3059303581079473,"score_spread":0.15471672321783664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078340948","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98940235,0.000047862708,0.00003943097,0.0035686067,0.00058996066,0.0002710348,0.00043884903,0.0000016254634,0.0056402683],"genre_scores_gemma":[0.9981969,0.000005519187,0.0013247392,0.00029538077,0.00009651925,0.0000081050175,0.000006980778,0.000007076439,0.000058771475],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99757504,0.00027048076,0.0010360874,0.0003784468,0.00012283504,0.00061709125],"domain_scores_gemma":[0.99723125,0.00024672234,0.0011112199,0.00034993474,0.00021542216,0.00084548496],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.007925895,0.0001878806,0.0004765814,0.0018820363,0.0009270828,0.00034701187,0.0015080951,0.00014475384,0.00021007925],"category_scores_gemma":[0.0015858834,0.00015420259,0.00017213325,0.003548602,0.003758436,0.00093669066,0.0000140320935,0.00032113347,0.000002164396],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000487203,0.000027398628,0.90654606,0.000011904579,0.00004368894,0.00002587777,0.034923997,0.00074936444,0.00079144223,0.056623653,0.000033590666,0.0001742924],"study_design_scores_gemma":[0.00016112052,0.001269596,0.97887903,0.000058592137,0.000053212098,0.000117541764,0.003203337,0.0015247319,0.00047815664,0.010945509,0.0030244193,0.00028474705],"about_ca_topic_score_codex":0.52599984,"about_ca_topic_score_gemma":0.99891067,"teacher_disagreement_score":0.47291085,"about_ca_system_score_codex":0.00070822384,"about_ca_system_score_gemma":0.0075134207,"threshold_uncertainty_score":0.99895275},"labels":[],"label_agreement":null},{"id":"W2079260962","doi":"10.2139/ssrn.890680","title":"City Size and Fund Performance","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Business; Sovereign wealth fund; Finance; Economics; Incentive","score_opus":0.018621497164023497,"score_gpt":0.20199790549358226,"score_spread":0.18337640832955876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079260962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.931627,0.002618748,0.0007440672,0.0010328674,0.00017547363,0.000045167293,0.0000028356071,0.000019911773,0.063733965],"genre_scores_gemma":[0.97326934,0.022705352,0.0002715523,0.00018664925,0.0004604545,0.0000016285239,6.532483e-7,0.000019084902,0.0030852926],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981051,0.000007782517,0.00037496895,0.00020145047,0.00002003264,0.0012906458],"domain_scores_gemma":[0.9995348,0.000034960616,0.0002038129,0.00012994144,0.000013100967,0.000083391344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016416427,0.00011872255,0.00022442639,0.00008892903,0.00021865388,0.00010167726,0.00015471832,0.00007091405,0.00023626343],"category_scores_gemma":[0.00004875002,0.00013548529,0.000064202766,0.00007295837,0.000041620617,0.00041376145,0.00003463171,0.00078632147,0.00023653223],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009361641,0.00010017008,0.31340992,0.000015959473,0.0001712985,0.0000012400952,0.00039535837,0.0001664768,0.000019809573,0.47341442,0.00031102705,0.21190068],"study_design_scores_gemma":[0.0026729838,0.0004933103,0.08652906,0.000022088065,0.000023058086,0.0008537992,0.00042814424,0.008210446,0.000058415037,0.5841813,0.31552938,0.0009980113],"about_ca_topic_score_codex":0.000026169224,"about_ca_topic_score_gemma":0.00025852647,"teacher_disagreement_score":0.31521833,"about_ca_system_score_codex":0.000579793,"about_ca_system_score_gemma":0.00016414475,"threshold_uncertainty_score":0.552493},"labels":[],"label_agreement":null},{"id":"W2080043486","doi":"10.1108/02637470310464472","title":"Modelling interactions of location with specific value of housing attributes","year":2003,"lang":"en","type":"article","venue":"Property Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Multicollinearity; Econometrics; Valuation (finance); Neighbourhood (mathematics); Spatial analysis; Property (philosophy); Real estate; Heteroscedasticity; Database transaction; Property tax; Computer science; Statistics; Economics; Mathematics; Regression analysis; Revenue","score_opus":0.06040328890744206,"score_gpt":0.2038973490954364,"score_spread":0.14349406018799432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080043486","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17533174,0.0004109209,0.5481012,0.00013311728,0.00026011653,0.00037081764,0.000008670326,0.000026094986,0.27535734],"genre_scores_gemma":[0.98101705,0.000546294,0.01771419,0.000013955953,0.000013990198,0.000010238312,0.000004340341,0.000017375443,0.0006625617],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920607,0.000010458076,0.00042267647,0.000204532,0.00002362318,0.00013263624],"domain_scores_gemma":[0.99942565,0.000013166548,0.00026433068,0.00023603158,0.00003866283,0.000022149305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035095736,0.0000867714,0.00021940639,0.00016788894,0.00004790666,0.000023694818,0.00009258048,0.00001997011,0.000089982685],"category_scores_gemma":[0.000007195595,0.00007308205,0.000039743136,0.00019487484,0.000035474637,0.00016348934,0.00002592781,0.000047671558,0.000038266906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081494414,0.0002770197,0.013478624,0.00035772516,0.00017472653,0.0000014084488,0.00040484007,0.60198337,0.000020300951,0.3762861,0.0003348879,0.006599532],"study_design_scores_gemma":[0.0017993831,0.00024060927,0.0023840507,0.00043135096,0.000071829134,0.0000049728387,0.0010213079,0.6501922,0.0031218943,0.023338834,0.3165778,0.0008157798],"about_ca_topic_score_codex":0.00009368748,"about_ca_topic_score_gemma":0.0000062326562,"teacher_disagreement_score":0.80568534,"about_ca_system_score_codex":0.000074649055,"about_ca_system_score_gemma":0.0000070927827,"threshold_uncertainty_score":0.29801995},"labels":[],"label_agreement":null},{"id":"W2080147937","doi":"10.1080/00036840701522861","title":"Determinants of housing price volatility in Canada: a dynamic analysis","year":2008,"lang":"en","type":"article","venue":"Applied Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Economics; Volatility (finance); Econometrics; Variance decomposition of forecast errors; Autoregressive conditional heteroskedasticity; Heteroscedasticity; Skewness; Volatility swap; Volatility smile; Granger causality; Autoregressive model; Price level; Financial economics; Macroeconomics; Implied volatility","score_opus":0.017493240962034105,"score_gpt":0.18704777839540107,"score_spread":0.16955453743336696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080147937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9736553,0.00007923578,0.00044178433,0.000020859465,0.00016634725,0.00017343624,0.00010021419,0.000014436865,0.02534842],"genre_scores_gemma":[0.99849737,0.00046133852,0.0008377167,0.00008621111,0.00001878552,0.000014404801,0.000017377884,0.000031236126,0.00003556318],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99768966,0.000008021866,0.0013188678,0.0005322444,0.000019102214,0.00043210588],"domain_scores_gemma":[0.99858236,0.000086002256,0.00069562637,0.0005246894,0.000013079802,0.00009823213],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00045182498,0.00021194473,0.0010239618,0.00044987342,0.00008376523,0.000016656733,0.00030297757,0.00010641603,0.00015503746],"category_scores_gemma":[0.00002638058,0.00030128058,0.00014963224,0.0004653794,0.000076856784,0.0001551361,0.00008697737,0.00014678355,0.000036762758],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003383732,0.000043884564,0.9894808,0.000020671181,0.00009536155,0.0000032727019,0.00023119224,0.007100454,0.000003565392,0.0015767711,0.000013610343,0.0013965737],"study_design_scores_gemma":[0.00055395457,0.0000094457255,0.831571,0.0000036663891,0.000024990295,0.0000031014972,0.00010917426,0.1634418,0.00009865817,0.0032537272,0.00053393486,0.0003965603],"about_ca_topic_score_codex":0.4498452,"about_ca_topic_score_gemma":0.8951121,"teacher_disagreement_score":0.44526693,"about_ca_system_score_codex":0.001353016,"about_ca_system_score_gemma":0.0004199342,"threshold_uncertainty_score":0.9999439},"labels":[],"label_agreement":null},{"id":"W2081037123","doi":"10.1007/s11146-006-6012-7","title":"Constructing Commercial Indices: A Semiparametric Adaptive Estimator Approach","year":2006,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Ordinary least squares; Estimator; Econometrics; Outlier; Adaptive estimator; Statistics; Mathematics; Index (typography); Least-squares function approximation; Standard error; Generalized least squares; Mean squared error; Computer science","score_opus":0.023576868137600397,"score_gpt":0.2028050414210789,"score_spread":0.1792281732834785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081037123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8810026,0.00032310834,0.001613256,0.00015609415,0.0003302613,0.00011104816,0.000060177124,0.000010500439,0.11639293],"genre_scores_gemma":[0.97344255,0.01929363,0.006791942,0.000055380384,0.00029652374,0.0000026300957,0.000007000733,0.000032200536,0.00007811139],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982293,0.000031381638,0.0011421656,0.00021367,0.000024422818,0.00035901656],"domain_scores_gemma":[0.9977262,0.00024190887,0.0017028596,0.00021769218,0.000042027328,0.00006933557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014596836,0.00021591873,0.0006731717,0.00027960484,0.00024116675,0.0001220961,0.000331111,0.00011556581,0.000011691391],"category_scores_gemma":[0.000040726914,0.00019984983,0.00012860943,0.00019516298,0.00026010707,0.00051550067,0.0000770823,0.00034362538,0.000024683155],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011151318,0.00038651843,0.3420402,0.00013324412,0.00033441625,0.000027516062,0.0035450105,0.052458886,0.000004077246,0.34135512,0.002601488,0.25599837],"study_design_scores_gemma":[0.011300084,0.0019560503,0.23086119,0.0002624946,0.00039680366,0.0035626534,0.011748004,0.4405925,0.00022684483,0.20704305,0.088336065,0.0037142762],"about_ca_topic_score_codex":0.0011677296,"about_ca_topic_score_gemma":0.0001668578,"teacher_disagreement_score":0.38813362,"about_ca_system_score_codex":0.00019539754,"about_ca_system_score_gemma":0.000072098315,"threshold_uncertainty_score":0.814964},"labels":[],"label_agreement":null},{"id":"W2081037911","doi":"10.1002/ijfe.344","title":"Estimation of the consumption CAPM with imperfect sample separation information","year":2007,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Capital asset pricing model; Economics; Econometrics; Imperfect; Consumption (sociology); Stochastic discount factor; Sample (material); Asset (computer security); Risk aversion (psychology); Mutual fund separation theorem; Consumption-based capital asset pricing model; Equity premium puzzle; Separation (statistics); Capital asset; Statistics; Financial economics; Mathematics; Expected utility hypothesis; Computer science; Finance","score_opus":0.015242905728495806,"score_gpt":0.241193719622402,"score_spread":0.2259508138939062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081037911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93411386,0.00006093792,0.060453165,0.00030743115,0.0013540357,0.00010143358,0.00007203661,0.0000050826015,0.0035320038],"genre_scores_gemma":[0.9950478,0.0005213369,0.00410118,0.00014091331,0.00014254407,0.0000015645037,0.000015517378,0.00000993811,0.000019206833],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854094,0.000008383919,0.0011614386,0.00009966913,0.000050016966,0.00013954533],"domain_scores_gemma":[0.99735665,0.000117135096,0.002172031,0.00016097384,0.0001645909,0.000028615535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010467485,0.00010742539,0.0002587954,0.0002665473,0.00005604234,0.00008049916,0.0003631086,0.000075899865,0.000042702413],"category_scores_gemma":[0.0001662863,0.00010061142,0.0001284462,0.000075264004,0.000077246616,0.001329105,0.000034550987,0.00014066104,0.00003775889],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011272772,0.00018153043,0.37100047,0.000049705974,0.0003424879,0.0000033304063,0.0021615801,0.22481526,0.00006371038,0.25440806,0.0006620054,0.14518458],"study_design_scores_gemma":[0.0065791295,0.000675774,0.6477277,0.00033810007,0.00007101533,0.00044208678,0.00032435317,0.15976955,0.010172578,0.08400786,0.088873826,0.0010180279],"about_ca_topic_score_codex":0.00008423664,"about_ca_topic_score_gemma":0.00010344667,"teacher_disagreement_score":0.27672723,"about_ca_system_score_codex":0.00033522362,"about_ca_system_score_gemma":0.00008102884,"threshold_uncertainty_score":0.41028145},"labels":[],"label_agreement":null},{"id":"W2082540833","doi":"10.1007/s11146-014-9487-7","title":"Housing Formation and Unemployment Rates: Evidence from 1975–2011","year":2014,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Economics; Autoregressive model; Quarter (Canadian coin); Unemployment rate; Demographic economics; Labour economics; Econometrics; Macroeconomics; Geography","score_opus":0.03814784966950478,"score_gpt":0.22513133313326242,"score_spread":0.18698348346375765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082540833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936707,0.00072620704,0.0014803075,0.000702434,0.00033240792,0.000073420066,0.000022538683,0.000007450761,0.0029845526],"genre_scores_gemma":[0.78897566,0.20978726,0.0009204964,0.000108972934,0.00015845858,0.0000010327449,0.000002409262,0.000017287723,0.00002843433],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987342,0.00003332993,0.00082427595,0.0001674124,0.00001736843,0.00022341193],"domain_scores_gemma":[0.9983097,0.0003519961,0.0010275807,0.00021013476,0.000029310471,0.00007130357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015814139,0.0001568264,0.00043611298,0.00010752065,0.00016942779,0.00013232755,0.00019515229,0.00006794917,0.000017920656],"category_scores_gemma":[0.000059499616,0.00014078605,0.000059960832,0.000038599184,0.00010713609,0.0009719582,0.00007185458,0.00016646371,0.000040010385],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001256182,0.0001260902,0.1832155,0.00016378166,0.00021766784,0.00000876194,0.020454029,0.018830953,0.0000976223,0.022372015,0.0017402176,0.7515172],"study_design_scores_gemma":[0.005445671,0.0012436305,0.23165733,0.00080711104,0.00022978117,0.00031135298,0.002461122,0.37274292,0.0011354721,0.1723529,0.20953766,0.0020750682],"about_ca_topic_score_codex":0.0008080877,"about_ca_topic_score_gemma":0.00038202025,"teacher_disagreement_score":0.7494421,"about_ca_system_score_codex":0.00007810994,"about_ca_system_score_gemma":0.000022749187,"threshold_uncertainty_score":0.5741089},"labels":[],"label_agreement":null},{"id":"W2082609327","doi":"10.2139/ssrn.894863","title":"What Drives the Growth of Aggregate Residential Mortgage Debt in the U.S.?","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Debt; Monetary economics; Aggregate (composite); Economics; Financial system; Secondary mortgage market; Business; Mortgage insurance; Finance","score_opus":0.008829846775404233,"score_gpt":0.19707612855579737,"score_spread":0.18824628178039313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082609327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97291327,0.0076288795,0.0006634056,0.0031245188,0.0005123869,0.00012445574,0.0000030173203,0.0000074871955,0.015022596],"genre_scores_gemma":[0.97755426,0.021454154,0.000018905894,0.00010929374,0.00033449836,0.000004308421,0.0000024176352,0.000018326522,0.0005038397],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979938,0.00006728783,0.0006484387,0.00017448374,0.000047972193,0.0010680185],"domain_scores_gemma":[0.9991499,0.00009525124,0.00048174983,0.00023356214,0.000020780453,0.00001873305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003701831,0.0001238562,0.0002544429,0.0001710902,0.00018841733,0.00024305697,0.0005692846,0.00006565118,0.00003897402],"category_scores_gemma":[0.000055347842,0.00009064359,0.00015857517,0.00021346928,0.00009387002,0.00051171903,0.000034890567,0.0009284198,0.000041810315],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039273782,0.00007118682,0.05170108,0.0000061131736,0.000055579952,0.0000047767094,0.0006471237,0.00014942899,0.000019359759,0.9446481,0.00033882365,0.0023191394],"study_design_scores_gemma":[0.00049475825,0.00006526395,0.02379779,0.00001750162,0.000009456128,0.00009957514,0.0015015635,0.00030080447,0.000053525306,0.97198874,0.0015330595,0.0001379846],"about_ca_topic_score_codex":0.0009916589,"about_ca_topic_score_gemma":0.0065877144,"teacher_disagreement_score":0.02790329,"about_ca_system_score_codex":0.00027189334,"about_ca_system_score_gemma":0.0002026184,"threshold_uncertainty_score":0.40335736},"labels":[],"label_agreement":null},{"id":"W2082848041","doi":"10.1111/1756-2171.12023","title":"Multidimensional heterogeneity and the economic importance of risk and matching: evidence from contractual data and field experiments","year":2013,"lang":"en","type":"article","venue":"The RAND Journal of Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université Laval","funders":"","keywords":"Matching (statistics); Earnings; Sorting; Economics; Business; Econometrics; Finance; Computer science","score_opus":0.04914172965321277,"score_gpt":0.252116924310493,"score_spread":0.2029751946572802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082848041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899027,0.008038576,0.0002901194,0.00089202484,0.0003591052,0.00017716027,0.000110932655,0.00000230406,0.0002271123],"genre_scores_gemma":[0.97466093,0.023960358,0.0009847266,0.0002155901,0.00015329523,0.0000026244427,0.0000028439747,0.000014111031,0.0000055455666],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99849355,0.00005877118,0.0010066413,0.0002648024,0.000015452577,0.00016077425],"domain_scores_gemma":[0.99618506,0.0019153006,0.00133997,0.00044682063,0.00001988329,0.00009298523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019668557,0.00015669232,0.0006150623,0.000056058063,0.00015092762,0.00013665938,0.00037510536,0.00007517099,0.00011184547],"category_scores_gemma":[0.00024555557,0.00011180873,0.00007495246,0.000013994195,0.00029611087,0.0007317761,0.00027720287,0.0002144985,0.000009795479],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003252339,0.00009472773,0.9462865,0.00004995888,0.0012765375,0.00000363359,0.008586306,0.0015406423,0.00014098453,0.018093096,0.0018753285,0.01879994],"study_design_scores_gemma":[0.02596839,0.00041125572,0.34914166,0.00027274468,0.00038527072,0.00028818691,0.0041775294,0.17916526,0.001146354,0.43434832,0.0033977733,0.0012972581],"about_ca_topic_score_codex":0.0012325346,"about_ca_topic_score_gemma":0.00021790576,"teacher_disagreement_score":0.59714484,"about_ca_system_score_codex":0.000039171035,"about_ca_system_score_gemma":0.000033690256,"threshold_uncertainty_score":0.45594278},"labels":[],"label_agreement":null},{"id":"W2083465595","doi":"10.5539/jsd.v3n1p98","title":"Occupants’ Satisfaction and Rent paid for Residential Properties close to","year":2010,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Renting; Unit (ring theory); Rental housing; Variance (accounting); Residential property; Property value; Business; Environmental science; Geography; Mathematics; Civil engineering; Engineering; Finance; Economic geography","score_opus":0.02180879337011494,"score_gpt":0.21656776766672886,"score_spread":0.19475897429661393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083465595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957209,0.00012758182,0.0013053108,0.0010100538,0.0006315259,0.0002775209,0.0000018995992,0.0000072669063,0.0009179],"genre_scores_gemma":[0.9883624,0.00009424017,0.009872068,0.0001254916,0.00019714511,0.000017701817,8.083869e-7,0.000017521108,0.0013126726],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.998791,0.0000058827113,0.000712547,0.00016384856,0.000035842495,0.0002908977],"domain_scores_gemma":[0.999193,0.000022024708,0.00039085018,0.00010099509,0.00016103189,0.00013209069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001324783,0.000107301836,0.00028503645,0.0003432211,0.00018344664,0.00016038828,0.000095341464,0.00006973939,0.000051708263],"category_scores_gemma":[0.00027597655,0.00010782662,0.000053324406,0.000079840655,0.000027282622,0.0003492959,0.000058241458,0.00014674423,0.000016374206],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031588639,0.00044170994,0.6599665,0.0013617002,0.0006524655,0.00016431054,0.025241433,0.00030263583,0.004532269,0.14537562,0.04250254,0.116299935],"study_design_scores_gemma":[0.0016768128,0.0002885024,0.38345012,0.00005379898,0.000016268918,0.00007085145,0.0038571393,0.00014791146,0.0028285126,0.021841597,0.58526057,0.0005079035],"about_ca_topic_score_codex":0.000056273264,"about_ca_topic_score_gemma":0.00006599969,"teacher_disagreement_score":0.54275805,"about_ca_system_score_codex":0.00020279495,"about_ca_system_score_gemma":0.00017201577,"threshold_uncertainty_score":0.4397042},"labels":[],"label_agreement":null},{"id":"W2084129176","doi":"10.1108/14635781111171779","title":"Robust estimation of distance effects and sub‐optimality in mixed use buildings","year":2011,"lang":"en","type":"article","venue":"Journal of Property Investment and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; University of Alberta","funders":"","keywords":"Conceptualization; Valuation (finance); Econometrics; Variable (mathematics); Computer science; Estimation; Value (mathematics); Marketing; Economics; Statistics; Mathematics; Business","score_opus":0.059072748404507935,"score_gpt":0.19436148492681957,"score_spread":0.13528873652231163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084129176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945408,0.0011893472,0.0022935027,0.00010139042,0.00015082149,0.000121462326,0.000007808497,0.0000026676362,0.001592196],"genre_scores_gemma":[0.9805028,0.0029613331,0.016280334,0.00013493143,0.000017186403,0.0000030360638,5.7384017e-7,0.000009772853,0.00009004546],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99899477,0.000015750516,0.0006531806,0.00016635646,0.00002603125,0.00014388787],"domain_scores_gemma":[0.9991383,0.000034535973,0.0006489403,0.000107843516,0.000028687033,0.00004167252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059482566,0.00011259369,0.0004002546,0.00013311546,0.000034862667,0.000034230423,0.000085977226,0.00006569163,0.0000049782075],"category_scores_gemma":[0.00010925824,0.00009151028,0.000046116234,0.00009216049,0.00011206203,0.0006251687,0.0000354104,0.00011888324,0.0000018006873],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008512894,0.0006911551,0.8059929,0.00071823836,0.000109998575,0.000045863817,0.0067058625,0.00085081847,0.0002880508,0.1438193,0.0011737202,0.03875281],"study_design_scores_gemma":[0.0030839527,0.00085331505,0.88177264,0.0005474035,0.000032175638,0.000051667514,0.000066437504,0.04651862,0.0040475363,0.05283438,0.009628679,0.000563224],"about_ca_topic_score_codex":0.000122265,"about_ca_topic_score_gemma":0.000016331778,"teacher_disagreement_score":0.090984926,"about_ca_system_score_codex":0.000052150688,"about_ca_system_score_gemma":0.000018012257,"threshold_uncertainty_score":0.37316808},"labels":[],"label_agreement":null},{"id":"W2084181559","doi":"10.1016/j.tra.2010.09.002","title":"Economic impact of a supply change in mass transit in urban areas: A Canadian example","year":2010,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":100,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Université du Québec à Rimouski","funders":"","keywords":"Public transport; Transit (satellite); Service (business); Transaction data; Metropolitan area; Hedonic pricing; Business; Population; Database transaction; Economic impact analysis; Agricultural economics; Economics; Transport engineering; Econometrics; Geography; Marketing; Microeconomics; Computer science; Engineering","score_opus":0.12660301864110304,"score_gpt":0.3747595884655125,"score_spread":0.24815656982440945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084181559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.972121,0.000109587934,0.00000783004,0.0026784472,0.000071021874,0.00039025722,0.0005039046,0.000006786958,0.024111176],"genre_scores_gemma":[0.9983413,0.0010132865,0.00016191117,0.000113051654,0.0001465325,0.00007761673,0.00006707714,0.000020768197,0.000058460726],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99845195,0.00008437023,0.0005670818,0.00032174052,0.000037871287,0.0005370116],"domain_scores_gemma":[0.99877375,0.0005747222,0.00014339302,0.00021973664,0.000034730772,0.00025363822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029199733,0.00012180089,0.00031262427,0.0012852779,0.00006773237,0.000062247185,0.00014250987,0.00015431205,0.00058209524],"category_scores_gemma":[0.0003163241,0.00015164087,0.00006413852,0.0004094528,0.00010782117,0.00081621716,0.0000031305342,0.0004922142,0.000060830534],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034253375,0.000077198725,0.8961654,0.000053643096,0.000033059387,0.000025467,0.012824161,0.0002025807,0.000057632573,0.08810894,0.000246096,0.0018633156],"study_design_scores_gemma":[0.0010031405,0.00011650116,0.916542,0.000023320665,0.0000035452406,0.0000037912632,0.0002827287,0.0017389854,0.000013196101,0.005820859,0.074241474,0.00021046065],"about_ca_topic_score_codex":0.90890944,"about_ca_topic_score_gemma":0.90031534,"teacher_disagreement_score":0.08228809,"about_ca_system_score_codex":0.00031443598,"about_ca_system_score_gemma":0.00054957473,"threshold_uncertainty_score":0.6373535},"labels":[],"label_agreement":null},{"id":"W2084230195","doi":"10.1016/j.qref.2010.12.001","title":"Was there a U.S. house price bubble? An econometric analysis using national and regional panel data","year":2010,"lang":"en","type":"article","venue":"The Quarterly Review of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":79,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); House price; Unit root; Economics; Econometrics; Economic bubble; Panel data; Unit (ring theory); Bubble; Macroeconomics; Mathematics; Geography","score_opus":0.0895711811009477,"score_gpt":0.264924673244599,"score_spread":0.1753534921436513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084230195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96553004,0.029114058,0.00017599501,0.0007824817,0.0002093231,0.00029997996,0.00043052286,0.000016625238,0.0034409948],"genre_scores_gemma":[0.7993654,0.19735533,0.0023564775,0.0005734569,0.0001672112,0.0000129618775,0.00006801375,0.00004134411,0.000059794562],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979046,0.000029570936,0.0010385613,0.00071924186,0.000025998643,0.00028204863],"domain_scores_gemma":[0.9976124,0.00015053792,0.0010102399,0.0010873784,0.000056943147,0.00008246637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002364254,0.00024532582,0.0008867285,0.0003075323,0.00019373684,0.00013838305,0.0007194111,0.00011378304,0.00011933529],"category_scores_gemma":[0.000054812404,0.0002360288,0.00013639269,0.00042360032,0.00024364183,0.00076033024,0.000116810596,0.0002326083,0.000032906464],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011493936,0.00054853875,0.029181348,0.0021537798,0.0016856559,0.0000036363588,0.0017712167,0.0014450686,0.000022903709,0.80413896,0.0015176139,0.15741631],"study_design_scores_gemma":[0.0012343673,0.0003491837,0.05247322,0.00032911808,0.00045897625,0.000101486046,0.00022040571,0.5689145,0.0000029411533,0.07575361,0.29869708,0.0014651356],"about_ca_topic_score_codex":0.00022833968,"about_ca_topic_score_gemma":0.00025969918,"teacher_disagreement_score":0.7283854,"about_ca_system_score_codex":0.000041044706,"about_ca_system_score_gemma":0.00007575143,"threshold_uncertainty_score":0.96249753},"labels":[],"label_agreement":null},{"id":"W2084504068","doi":"10.1061/(asce)up.1943-5444.0000235","title":"Evaluation of the Affordability Level of State-Sector Housing Built in Iran: Case Study of the Maskan-e-Mehr Project in Zanjan City","year":2014,"lang":"en","type":"article","venue":"Journal of Urban Planning and Development","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Affordable housing; Business; Work (physics); Low income; Loan; Plan (archaeology); Low income housing; Household income; Economic growth; Finance; Economics; Socioeconomics; Geography; Engineering; Civil engineering","score_opus":0.24217574707330913,"score_gpt":0.30577776058873746,"score_spread":0.06360201351542832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084504068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987605,0.00013907561,0.00014829467,0.000020916206,0.00022009623,0.00027132768,0.000007798311,0.0000010702104,0.00043087412],"genre_scores_gemma":[0.99953467,0.0000064257333,0.00041694066,0.0000076037104,0.000015579955,0.00000228007,2.3983344e-7,0.000007149876,0.0000090984095],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998251,0.00014447444,0.0012186704,0.00013339167,0.00012383074,0.00012862621],"domain_scores_gemma":[0.9984004,0.00011340196,0.0012034501,0.00017161727,0.00008891036,0.000022244627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068107783,0.00009852391,0.00042332473,0.00024670552,0.000055346765,0.00001543677,0.00015717026,0.000045373625,0.000005606775],"category_scores_gemma":[0.00036063098,0.000072515904,0.000050038623,0.00020598467,0.000045295383,0.000092333095,0.000070008406,0.00017344156,1.1556326e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057565125,0.00022137807,0.9729292,0.00004341924,0.00003406778,0.000002758777,0.019446682,0.0035510887,0.000013989489,0.000007021244,0.000024174817,0.003668665],"study_design_scores_gemma":[0.0016598513,0.00011589537,0.98994344,0.00014855541,0.000013535905,0.000024953959,0.0031232815,0.004059428,0.00028221816,0.00042620793,0.00010667362,0.00009594313],"about_ca_topic_score_codex":0.00093236216,"about_ca_topic_score_gemma":0.0018656852,"teacher_disagreement_score":0.017014265,"about_ca_system_score_codex":0.00020179796,"about_ca_system_score_gemma":0.00020494626,"threshold_uncertainty_score":0.29571128},"labels":[],"label_agreement":null},{"id":"W2084677554","doi":"10.1068/a33128","title":"Social and Geographic Inequities in the Residential Property Tax: A Review and Case Study","year":2001,"lang":"en","type":"review","venue":"Environment and Planning A Economy and Space","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Metropolitan area; Property tax; Property value; Politics; Property (philosophy); Location; Public economics; Inequality; Public finance; Economics; Geography; Demographic economics; Economic growth; Tax reform; Political science; Finance; Law; Real estate","score_opus":0.07732078443064573,"score_gpt":0.267883227461884,"score_spread":0.19056244303123826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084677554","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019490689,0.974666,0.0000043179016,0.0003456956,0.00003891122,0.0010308281,0.000032564247,0.000008737807,0.0043822285],"genre_scores_gemma":[0.0099251345,0.98913825,0.000020656013,0.00014106059,0.00013784919,0.00013555637,0.000015294601,0.000027273049,0.00045890122],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982351,0.00011567871,0.0007067853,0.00063124875,0.00001931991,0.00029188133],"domain_scores_gemma":[0.9991701,0.00013867219,0.00041713045,0.00019952601,0.0000017244167,0.00007282245],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014327754,0.00038070366,0.0014762931,0.00022583241,0.00034950982,0.00027645845,0.00010932718,0.00017850354,0.000045396686],"category_scores_gemma":[0.000018558481,0.0002924055,0.00008390849,0.000078489385,0.00018495983,0.00020012388,0.0001701037,0.0003777324,0.000007805072],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052651416,0.0004500859,0.3049594,0.0376301,0.0009886107,0.002749242,0.030553088,0.0000053263234,6.574918e-9,0.0030025376,0.004252512,0.61535645],"study_design_scores_gemma":[0.00041337285,0.000101147125,0.0008840369,0.0010413157,0.00029698704,0.00091714074,0.0022979458,0.000029809955,1.2767642e-9,0.000413667,0.9931239,0.00048071353],"about_ca_topic_score_codex":0.0006653885,"about_ca_topic_score_gemma":0.00013692354,"teacher_disagreement_score":0.98887134,"about_ca_system_score_codex":0.00003391254,"about_ca_system_score_gemma":0.000012471061,"threshold_uncertainty_score":0.9999528},"labels":[],"label_agreement":null},{"id":"W2085174144","doi":"10.1016/j.enpol.2011.05.047","title":"Examining the financial performance of micro-generation wind projects and the subsidy effect of feed-in tariffs for urban locations in the United Kingdom","year":2011,"lang":"en","type":"article","venue":"Energy Policy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Tariff; Wind power; Subsidy; Revenue; Feed-in tariff; Electricity; Environmental economics; Renewable energy; Business; Economics; Incentive; Net present value; Finance; Engineering; Energy policy; Production (economics); Microeconomics; International economics","score_opus":0.0637757302332424,"score_gpt":0.22584740363330502,"score_spread":0.16207167340006262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085174144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957178,0.000101764155,0.00011992066,0.00020684986,0.00008008108,0.0002405561,0.000009053929,0.0000030567287,0.003520902],"genre_scores_gemma":[0.9993593,0.00011947502,0.000067459536,0.00017647418,0.00015466464,0.000059699014,0.000012945647,0.000010825265,0.00003914915],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992322,0.000057606805,0.00039149777,0.0001407206,0.000015912941,0.000162099],"domain_scores_gemma":[0.99924976,0.00025099932,0.00024906706,0.0002253265,0.000014082133,0.000010758653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013414535,0.00009424868,0.00023059417,0.00028810903,0.000099132674,0.000019777954,0.00020457635,0.000063530206,0.000003518962],"category_scores_gemma":[0.0002223223,0.0000612282,0.000039559054,0.00037162146,0.00014745389,0.0000831205,0.000027817965,0.000077862445,7.3788345e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045758774,0.000101502956,0.37834418,0.00009436279,0.000036370475,3.0286876e-7,0.025538791,0.0024516382,0.00021299942,0.5885049,0.00022504976,0.0040323026],"study_design_scores_gemma":[0.008007077,0.0008814546,0.78719026,0.00009728012,0.000043000608,0.000008121319,0.00049644127,0.176535,0.010944049,0.00496368,0.0102861095,0.00054752943],"about_ca_topic_score_codex":0.00898037,"about_ca_topic_score_gemma":0.0014640889,"teacher_disagreement_score":0.5835413,"about_ca_system_score_codex":0.000035753423,"about_ca_system_score_gemma":0.000042949312,"threshold_uncertainty_score":0.9976189},"labels":[],"label_agreement":null},{"id":"W2087093910","doi":"10.1108/14635781111150376","title":"Do peer effects shape property values?","year":2011,"lang":"en","type":"article","venue":"Journal of Property Investment and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski; Université Laval","funders":"","keywords":"Econometrics; Neighbourhood (mathematics); Economics; Autocorrelation; Autoregressive model; Originality; Value (mathematics); Order (exchange); Spatial econometrics; Hedonic index; Microeconomics; Mathematics; Statistics; Price index; Psychology","score_opus":0.054701126083689,"score_gpt":0.2103685966123125,"score_spread":0.1556674705286235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087093910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71249217,0.004682017,0.00023604529,0.00096681545,0.0013722492,0.0003768596,0.000009562395,0.000022259155,0.279842],"genre_scores_gemma":[0.9715136,0.0053871875,0.007804513,0.0013818274,0.0003343439,0.000014902242,0.0000014235129,0.0000468946,0.013515271],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985671,0.000024782785,0.00077914126,0.0002701286,0.000063236,0.0002956233],"domain_scores_gemma":[0.99884623,0.000023012839,0.00070406817,0.00022592278,0.00009990726,0.000100869314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011005261,0.00020256157,0.00053451845,0.00016821481,0.000117617456,0.00009283775,0.0002691659,0.000110781875,0.00014073607],"category_scores_gemma":[0.000170923,0.00012134288,0.00013621787,0.00011234222,0.00012558901,0.0005719256,0.00007582379,0.00024224125,0.00012514509],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014606067,0.00260453,0.24022903,0.0008956946,0.00088489964,0.00048975425,0.024801247,0.0000596782,0.00044554347,0.30808944,0.13391237,0.2861272],"study_design_scores_gemma":[0.0032774324,0.0019235349,0.044939544,0.00034404008,0.00006400989,0.00022757878,0.00015882084,0.0050356393,0.0010042451,0.12917738,0.81283444,0.0010133341],"about_ca_topic_score_codex":0.000047164755,"about_ca_topic_score_gemma":0.0000022406052,"teacher_disagreement_score":0.67892206,"about_ca_system_score_codex":0.000083198174,"about_ca_system_score_gemma":0.000044906745,"threshold_uncertainty_score":0.49482188},"labels":[],"label_agreement":null},{"id":"W2087545068","doi":"10.1023/b:real.0000011151.02848.1a","title":"Robbing the Bank: Non-recourse Lending and Asset Prices","year":2004,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":61,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Real estate; Equity (law); Debt; Asset (computer security); Economics; Business; Real estate investment trust; Monetary economics; Market liquidity; Valuation (finance); Financial economics; Finance","score_opus":0.01863883893513726,"score_gpt":0.21011517957352047,"score_spread":0.1914763406383832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087545068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98288566,0.0005509008,0.00035611304,0.0019743468,0.00046418016,0.00010409941,0.000022040225,0.0000061785627,0.013636456],"genre_scores_gemma":[0.82405084,0.17487699,0.00066535134,0.00013642767,0.00018454983,0.0000016242193,0.0000013107846,0.000022672742,0.000060247105],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9987058,0.000013821471,0.00076405273,0.00018252076,0.000018314782,0.00031546253],"domain_scores_gemma":[0.99847966,0.00016217168,0.0010353633,0.00022844083,0.000024072746,0.000070279246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019491015,0.00018162609,0.00044258113,0.00011980583,0.0003447039,0.00018248489,0.00031239432,0.00007541425,0.000010024094],"category_scores_gemma":[0.000032753152,0.00013622343,0.00008682813,0.00007883154,0.00018275392,0.00065309374,0.00009174937,0.00029901124,0.000021726397],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011941493,0.0003519144,0.12407129,0.0002836705,0.0008787556,0.0000706503,0.05098238,0.14671858,0.00010394329,0.1818315,0.002223073,0.4912901],"study_design_scores_gemma":[0.011269211,0.0019812356,0.35472316,0.0005945274,0.00037863723,0.0027428297,0.0123515995,0.044872884,0.00056200696,0.27124825,0.29624894,0.0030267413],"about_ca_topic_score_codex":0.00046285076,"about_ca_topic_score_gemma":0.00025545017,"teacher_disagreement_score":0.48826334,"about_ca_system_score_codex":0.00011709299,"about_ca_system_score_gemma":0.00006365887,"threshold_uncertainty_score":0.555503},"labels":[],"label_agreement":null},{"id":"W2088872941","doi":"10.1016/j.jenvman.2012.01.020","title":"Allocating risk capital for a brownfields redevelopment project under hydrogeological and financial uncertainty","year":2012,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Korea Institute of Geoscience and Mineral Resources","keywords":"Stylized fact; Brownfield; Financial risk; Actuarial science; Capital cost; Redevelopment; Business; Finance; Economics; Engineering; Civil engineering","score_opus":0.02029561655578466,"score_gpt":0.20143231427343847,"score_spread":0.1811366977176538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088872941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871118,0.00072555133,0.0049833492,0.00017542364,0.0004132075,0.00029100923,0.00002382432,0.000005616566,0.006270206],"genre_scores_gemma":[0.99000454,0.0015016793,0.007805441,0.0001929074,0.00019047398,0.000015877124,0.0000040420027,0.00001302926,0.00027200568],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988893,0.000013515435,0.00059627846,0.00016466333,0.000039904655,0.00029633404],"domain_scores_gemma":[0.9992555,0.000043761826,0.0005153053,0.00009777951,0.000002763258,0.00008488209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097095454,0.00013323397,0.00027620632,0.00012546306,0.00011995354,0.00003498799,0.000116946576,0.0000732512,0.0001241088],"category_scores_gemma":[0.000030828895,0.00013227265,0.00011036008,0.000034373308,0.000055223212,0.00021257365,0.00011631962,0.00013051931,0.000015447386],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007514092,0.0020831241,0.753956,0.00023982544,0.0010819667,0.000027310227,0.005868095,0.0034077035,0.000109296176,0.077543125,0.006031767,0.14890033],"study_design_scores_gemma":[0.0057415534,0.0011258869,0.72850764,0.000082677994,0.00019684392,0.00012451208,0.004910818,0.0026143966,0.000103723716,0.049605988,0.2057396,0.0012463795],"about_ca_topic_score_codex":0.000015298123,"about_ca_topic_score_gemma":0.0000034046493,"teacher_disagreement_score":0.19970784,"about_ca_system_score_codex":0.00022479905,"about_ca_system_score_gemma":0.000006494968,"threshold_uncertainty_score":0.5393922},"labels":[],"label_agreement":null},{"id":"W2089506578","doi":"10.3141/1898-18","title":"Modeling Location Choices of Housing Builders in the Greater Toronto, Canada, Area","year":2004,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; McGill University","funders":"National Science Council","keywords":"Residential area; Transport engineering; Work (physics); Single-family detached home; Geography; Central business district; Business; Economic geography; Civil engineering; Engineering","score_opus":0.10984794525382682,"score_gpt":0.3145317344944801,"score_spread":0.20468378924065325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089506578","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911123,0.00041801285,0.00440438,0.0022918598,0.00031018976,0.00047634778,0.000041054456,0.000005299926,0.00094054395],"genre_scores_gemma":[0.9980002,0.0010840044,0.000655185,0.00006020766,0.000090151,0.000022191782,0.000008970505,0.000029841982,0.00004921822],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99658155,0.00023278654,0.0016242249,0.0002943398,0.00068646984,0.00058062404],"domain_scores_gemma":[0.9978949,0.0002736086,0.0004803817,0.00038353814,0.00084452867,0.00012306283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051763435,0.00016274155,0.00042110952,0.0004760436,0.0003044916,0.00009738851,0.0009105907,0.00011839991,0.00012773724],"category_scores_gemma":[0.0001348592,0.00012840176,0.00018581834,0.0009937864,0.00021819219,0.0006819634,0.000004600243,0.00093126256,0.0000040388227],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008571932,0.000300621,0.5948393,0.00035532814,0.00014384749,0.000057673395,0.011704636,0.37510306,0.00018835717,0.012941713,0.0006077033,0.002900582],"study_design_scores_gemma":[0.0022958117,0.00027743154,0.9667121,0.00044975104,0.000021877966,7.070418e-7,0.0074220328,0.0054820795,0.00027902366,0.014826793,0.0019532247,0.00027915553],"about_ca_topic_score_codex":0.8444655,"about_ca_topic_score_gemma":0.9771652,"teacher_disagreement_score":0.3718728,"about_ca_system_score_codex":0.000831837,"about_ca_system_score_gemma":0.0008304838,"threshold_uncertainty_score":0.5236072},"labels":[],"label_agreement":null},{"id":"W2089795894","doi":"10.1080/02673030701608183","title":"Landscaping Attributes and Property Buyers' Profiles: Their Joint Effect on House Prices","year":2007,"lang":"en","type":"article","venue":"Housing Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Université Laval","funders":"","keywords":"Landscaping; Originality; House price; Neighbourhood (mathematics); Business; Population; Economics; Marketing; Econometrics; Sociology","score_opus":0.06233236188073952,"score_gpt":0.24594605241058745,"score_spread":0.18361369052984794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089795894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98002666,0.0043388978,0.00032783762,0.0003956052,0.00055537734,0.0003480183,0.000016648786,0.00022052106,0.013770406],"genre_scores_gemma":[0.9968457,0.0019778525,0.00046789693,0.00021515507,0.00026069375,0.000016858514,0.000002665315,0.000061733845,0.0001514121],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984674,0.000017634906,0.0005212414,0.0004889181,0.000032016695,0.00047281905],"domain_scores_gemma":[0.9990696,0.00029325837,0.0002854224,0.0002485144,0.000033506985,0.00006971511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017468611,0.00027717964,0.00067156093,0.00024726495,0.00040997166,0.0001298909,0.000105050574,0.00009103824,0.000009546222],"category_scores_gemma":[0.00032019426,0.00020218945,0.000094548144,0.00015297666,0.00013531488,0.00017978212,0.00012986177,0.00016718596,0.00010534943],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058807747,0.00038946336,0.846685,0.0015135339,0.0014742515,0.00006727436,0.019833041,0.00037184573,0.0004894392,0.01125024,0.007296411,0.110041454],"study_design_scores_gemma":[0.016478905,0.008334782,0.50238967,0.0045585893,0.00036939993,0.00014530301,0.021504764,0.009383471,0.04351111,0.033110283,0.34980363,0.010410081],"about_ca_topic_score_codex":0.00006225176,"about_ca_topic_score_gemma":0.00006787575,"teacher_disagreement_score":0.34429526,"about_ca_system_score_codex":0.00014813688,"about_ca_system_score_gemma":0.000009778273,"threshold_uncertainty_score":0.8245047},"labels":[],"label_agreement":null},{"id":"W2089881086","doi":"10.1108/17538271011049731","title":"List price and sale price variation across the housing market cycle","year":2010,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Volatility (finance); Standard deviation; Market price; Price level; Quarter (Canadian coin); Econometrics; Financial economics; Bidding; Monetary economics; Microeconomics; Statistics; Mathematics","score_opus":0.009496712382769182,"score_gpt":0.23355917781225669,"score_spread":0.2240624654294875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089881086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.975497,0.00030238563,0.0068026776,0.0017893484,0.00094453135,0.000048931142,0.00003384596,0.000011696635,0.01456957],"genre_scores_gemma":[0.99608165,0.0010703575,0.0019404632,0.00024391578,0.0004523741,0.000001003833,0.0000038179246,0.00001958037,0.0001868498],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99863124,0.000037812722,0.0007572744,0.00024854005,0.000105225554,0.00021992691],"domain_scores_gemma":[0.998283,0.00024900027,0.0010122673,0.00017985285,0.0001776434,0.0000982088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002573635,0.00015085458,0.00038772187,0.00047249967,0.00026460615,0.0007252105,0.00032836958,0.00009200596,0.000330395],"category_scores_gemma":[0.00033389824,0.00013142916,0.00020072225,0.00036375178,0.00012326014,0.0005093503,0.00013281184,0.0003161495,0.0000036492122],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000498443,0.00028825505,0.91269666,0.000038773043,0.0046631624,0.00006960951,0.0035909242,0.00074974465,0.00075849646,0.008670576,0.0010023065,0.06697307],"study_design_scores_gemma":[0.0011067821,0.000042042837,0.86019576,0.00003770781,0.00029506205,0.00014451405,0.0003262354,0.08127567,0.000028411847,0.009074996,0.047038104,0.0004347356],"about_ca_topic_score_codex":0.00018988972,"about_ca_topic_score_gemma":0.00016846138,"teacher_disagreement_score":0.08052593,"about_ca_system_score_codex":0.000065942775,"about_ca_system_score_gemma":0.00002664978,"threshold_uncertainty_score":0.6993222},"labels":[],"label_agreement":null},{"id":"W2090183207","doi":"10.1111/1756-2171.12083","title":"Screening incentives and privacy protection in financial markets: a theoretical and empirical analysis","year":2015,"lang":"en","type":"article","venue":"The RAND Journal of Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Denial; Foreclosure; Business; Consumer privacy; Incentive; Welfare; Consumer welfare; Financial services; Information privacy; Finance; Economics; Internet privacy; Microeconomics","score_opus":0.04857736345582691,"score_gpt":0.24334781646543646,"score_spread":0.19477045300960955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090183207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903169,0.00072208105,0.0044948636,0.0016481335,0.00015267663,0.00011706486,0.0000073659294,0.0000034293212,0.0025374738],"genre_scores_gemma":[0.9974077,0.0014416556,0.0008404307,0.00013177047,0.000147451,0.000002595141,7.393129e-7,0.000011156144,0.000016521757],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99877906,0.00006356446,0.0007675638,0.00018479138,0.000015725052,0.00018931853],"domain_scores_gemma":[0.99908787,0.00012989387,0.0004974202,0.00013504013,0.000025084812,0.00012468432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031091566,0.00012163596,0.0005442042,0.00038067106,0.00007458708,0.00013244104,0.00015124778,0.00009184263,0.000028847307],"category_scores_gemma":[0.00037618482,0.00010519063,0.00011318475,0.00018464036,0.00021434059,0.00033029646,0.000085498126,0.00025286042,0.000003114113],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003495356,0.00018407595,0.82997555,0.000036065438,0.0007087579,0.000016039075,0.0074270484,0.0033465684,0.0000027390904,0.10516974,0.00025507424,0.04938297],"study_design_scores_gemma":[0.007306185,0.00034781417,0.3660386,0.000052753287,0.0002191224,0.0001696187,0.00084271113,0.14318193,0.000018939523,0.46637115,0.014881773,0.0005694028],"about_ca_topic_score_codex":0.000027169599,"about_ca_topic_score_gemma":0.000041481457,"teacher_disagreement_score":0.46393695,"about_ca_system_score_codex":0.00008629254,"about_ca_system_score_gemma":0.000046993824,"threshold_uncertainty_score":0.42895493},"labels":[],"label_agreement":null},{"id":"W2092969530","doi":"10.2139/ssrn.1685005","title":"Speculating on Home Improvements","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Business","score_opus":0.02617693955166452,"score_gpt":0.19721099020826666,"score_spread":0.17103405065660213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092969530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7438465,0.0003219401,0.0025753423,0.00008871402,0.00063705747,0.000073362266,0.0000038893995,0.000028424667,0.25242478],"genre_scores_gemma":[0.9965903,0.001408927,0.00023484098,0.00015319363,0.00027349382,0.0000025255215,0.0000016511881,0.000034042816,0.0013009994],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977068,0.000010061822,0.00047520627,0.00023648718,0.000026370137,0.0015450983],"domain_scores_gemma":[0.99936724,0.0000119383485,0.00034157952,0.0001899231,0.000013631184,0.00007568553],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014916972,0.00013793167,0.00023244068,0.00018531276,0.00017038353,0.00005803483,0.00024254924,0.00006850355,0.00038951545],"category_scores_gemma":[0.000034824167,0.00015505226,0.00012853269,0.00008832866,0.000022008095,0.00020563627,0.00003203996,0.0008420608,0.000853026],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004932465,0.000088276436,0.04514605,0.000003230954,0.00011136917,0.0000029426753,0.00030427775,0.000010630953,0.000012889235,0.9323338,0.000049867576,0.02188732],"study_design_scores_gemma":[0.00067812175,0.00034922798,0.007935343,0.0000083059895,0.0000053385893,0.000043409775,0.00030621598,0.00034396083,0.00004291298,0.987789,0.0022258656,0.00027233205],"about_ca_topic_score_codex":0.0001062289,"about_ca_topic_score_gemma":0.000096627904,"teacher_disagreement_score":0.25274384,"about_ca_system_score_codex":0.0007658757,"about_ca_system_score_gemma":0.00014016792,"threshold_uncertainty_score":0.9999249},"labels":[],"label_agreement":null},{"id":"W2096972785","doi":"10.1093/ajae/aau098","title":"Farmland Protection and Agricultural Land Values at the Urban‐Rural Fringe: British Columbia's Agricultural Land Reserve","year":2014,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Trinity Western University","funders":"Agriculture and Agri-Food Canada","keywords":"Zoning; Agricultural land; Agriculture; Residence; Land use; Subdivision; Agricultural economics; Geography; Land Values; Business; Economics; Ecology","score_opus":0.008106333324478686,"score_gpt":0.1658670496862441,"score_spread":0.15776071636176542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096972785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991954,0.000508972,0.00002364669,0.0016637978,0.00076563907,0.0003127105,0.00006687726,0.000033741173,0.0046706],"genre_scores_gemma":[0.9947565,0.0017845521,0.00021988055,0.00015906525,0.0012142154,0.000015935339,0.000036709767,0.000030228586,0.0017828799],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975635,0.00010813262,0.0012616308,0.00044039762,0.00006816756,0.0005581651],"domain_scores_gemma":[0.99720675,0.00016781344,0.0019458977,0.00024350324,0.00015868155,0.00027737475],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00093701214,0.0003249588,0.0009891989,0.00007725781,0.0006183053,0.0012027681,0.00046103005,0.00012412871,0.0000807901],"category_scores_gemma":[0.00015734688,0.00026369264,0.00034634315,0.0002508593,0.00037856182,0.00093039346,0.00019307343,0.00048108437,0.000059104976],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002214694,0.00018209583,0.9403676,0.000077658355,0.0007719287,0.000008286038,0.001999586,0.0038654886,0.00025066466,0.00056880474,0.023790853,0.02789558],"study_design_scores_gemma":[0.0011713301,0.00058067514,0.98306,0.00005876812,0.000053177413,0.0010821812,0.0016024207,0.00030549665,0.000025886642,0.00073845335,0.010720561,0.00060103415],"about_ca_topic_score_codex":0.010735985,"about_ca_topic_score_gemma":0.017738476,"teacher_disagreement_score":0.042692427,"about_ca_system_score_codex":0.0004024412,"about_ca_system_score_gemma":0.000021342,"threshold_uncertainty_score":0.9999815},"labels":[],"label_agreement":null},{"id":"W2097972765","doi":"","title":"Bubble, Bubble - Is there House Price Trouble -- in Canada?","year":2014,"lang":"en","type":"article","venue":"Journal of the Asian Real Estate Society","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"House price; Economics; Economic bubble; Inflation (cosmology); Quarter (Canadian coin); Real estate; Financial crisis; Monetary economics; Crash; Population; Financial market; Financial economics; Macroeconomics; Finance; Geography","score_opus":0.01259788035789825,"score_gpt":0.18779047119761605,"score_spread":0.1751925908397178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097972765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8324453,0.000066939974,0.00014943873,0.004806035,0.0007231565,0.00008866458,0.000021283191,0.000009248419,0.16168994],"genre_scores_gemma":[0.99385744,0.0037846735,0.0009014194,0.00063336105,0.00017457396,0.0000012655037,4.905825e-7,0.000043167176,0.0006035787],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985955,0.000033701992,0.00077897817,0.0001712688,0.00006489539,0.0003556899],"domain_scores_gemma":[0.9985783,0.000057820034,0.000896453,0.00031327305,0.00003681991,0.000117351934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011518172,0.00014545863,0.0004372724,0.000045083045,0.00011129625,0.000073239244,0.00050009886,0.0000810861,0.00008893173],"category_scores_gemma":[0.000048860395,0.00012442494,0.000310459,0.00020982286,0.000040518586,0.00023991203,0.000069847316,0.00038808445,0.000025508169],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013505251,0.00022379223,0.84918696,0.000149772,0.00036988524,0.000019148772,0.013625761,0.0046216715,0.00003864193,0.0053559467,0.08770455,0.038568832],"study_design_scores_gemma":[0.0036987623,0.00018160243,0.51194537,0.00013457854,0.00003958492,0.00008368441,0.005146738,0.015321965,0.00021187321,0.02862553,0.4337642,0.00084609987],"about_ca_topic_score_codex":0.28745162,"about_ca_topic_score_gemma":0.18367118,"teacher_disagreement_score":0.34605965,"about_ca_system_score_codex":0.00094041775,"about_ca_system_score_gemma":0.00051988295,"threshold_uncertainty_score":0.8312247},"labels":[],"label_agreement":null},{"id":"W2098005535","doi":"10.2139/ssrn.1028521","title":"Crime's Impact on the Survival Prospects of Young Urban Small Businesses","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Competitor analysis; Underwriting; Capitalization; Business; Disadvantage; Balance (ability); Finance; Marketing; Political science","score_opus":0.01995341324064275,"score_gpt":0.2217293610936526,"score_spread":0.20177594785300984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098005535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8953465,0.0013042589,0.0031357005,0.0002750384,0.0006526075,0.00012829647,0.000008376123,0.000017845148,0.09913136],"genre_scores_gemma":[0.9968685,0.0018694378,0.000035595305,0.000049373695,0.00047769723,0.0000014044872,0.000002153782,0.000036656715,0.00065917714],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99747074,0.000019978286,0.00062774227,0.00021656197,0.000046162007,0.001618825],"domain_scores_gemma":[0.99890685,0.00014094423,0.00054740394,0.00027446292,0.000058461545,0.00007185722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005175707,0.00018918661,0.0003705643,0.00022127535,0.00019162992,0.000087949644,0.00037502756,0.00008770667,0.00012895052],"category_scores_gemma":[0.00019085911,0.00014696542,0.00022406777,0.00025195,0.000065016924,0.00013956528,0.000032557786,0.00092722086,0.0000970992],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016789006,0.0001077123,0.1486665,0.0000075325934,0.00017484366,0.0000027589567,0.00017451774,0.00007051509,0.00003810629,0.84849685,0.00016240601,0.0019303818],"study_design_scores_gemma":[0.001333722,0.0008377077,0.31816435,0.000043873886,0.000032303757,0.00023103732,0.0009917096,0.00038590402,0.00049355533,0.6730258,0.0038097482,0.0006503016],"about_ca_topic_score_codex":0.00031571236,"about_ca_topic_score_gemma":0.0006107056,"teacher_disagreement_score":0.17547105,"about_ca_system_score_codex":0.00087170966,"about_ca_system_score_gemma":0.00041667852,"threshold_uncertainty_score":0.5993076},"labels":[],"label_agreement":null},{"id":"W2098871978","doi":"10.1002/bref.158","title":"Theta model forecasts of quarterly and monthly dwelling prices in the UK","year":2005,"lang":"en","type":"article","venue":"Briefings in Real Estate Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Index (typography); Price index; Econometrics; Economics; House price; Financial economics; Finance; Computer science","score_opus":0.026305611663490824,"score_gpt":0.21893075168571552,"score_spread":0.1926251400222247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098871978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91291004,0.0002501329,0.00034641952,0.00082278065,0.00003514367,0.00015741597,0.000034614077,0.0000088214865,0.0854346],"genre_scores_gemma":[0.98979044,0.0066087237,0.003266725,0.00020306034,0.00002565032,0.000018736606,0.0000044140243,0.000017646418,0.00006457744],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986484,0.000009277353,0.0006745045,0.00032970784,0.000028447335,0.00030964188],"domain_scores_gemma":[0.9992846,0.00009315562,0.00034520632,0.0002450078,0.000011096818,0.000020935504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082274305,0.00014426943,0.00035477759,0.0001562466,0.00004762296,0.00005379091,0.00024837564,0.000080206904,0.00000531644],"category_scores_gemma":[0.00002545653,0.00014676707,0.00004823365,0.00018843329,0.000084432286,0.00028184586,0.000026120046,0.00016274903,0.000009650965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023045283,0.000365726,0.08749147,0.00019720412,0.000022524639,0.000023854815,0.055141643,0.23491281,0.000017930004,0.21569024,0.0005841247,0.40532202],"study_design_scores_gemma":[0.00093797833,0.00010945146,0.0700909,0.00008597473,0.0000033699885,0.0000063998555,0.0002642961,0.8691795,0.000022244974,0.045317505,0.013607511,0.0003749046],"about_ca_topic_score_codex":0.0045261686,"about_ca_topic_score_gemma":0.0030582682,"teacher_disagreement_score":0.6342667,"about_ca_system_score_codex":0.000053924872,"about_ca_system_score_gemma":0.000020917569,"threshold_uncertainty_score":0.6842243},"labels":[],"label_agreement":null},{"id":"W2098920941","doi":"10.1177/0739456x05278985","title":"New Urbanism and Sprawl","year":2006,"lang":"en","type":"article","venue":"Journal of Planning Education and Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Urban sprawl; Urbanism; New Urbanism; Plan (archaeology); Single-family detached home; Urban planning; Geography; Environmental planning; Economic geography; Civil engineering; Architecture; Engineering; Archaeology","score_opus":0.06891596090174054,"score_gpt":0.33582748381850014,"score_spread":0.26691152291675957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098920941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8897259,0.006567302,0.000506734,0.002325222,0.0005703075,0.000044735432,0.0000013845596,0.0000039014494,0.10025451],"genre_scores_gemma":[0.9905721,0.0004761469,0.0026204498,0.000048909893,0.00074257766,5.615881e-7,0.0000012712027,0.000008386494,0.005529588],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99941504,0.00001676473,0.00030570375,0.00009368493,0.00003443639,0.00013438887],"domain_scores_gemma":[0.99954045,0.00008163732,0.00016494148,0.00005939429,0.00005446209,0.00009912323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012696445,0.000044316082,0.00013781777,0.00037389048,0.00010692275,0.00015294517,0.00006870603,0.000049244652,0.00007719437],"category_scores_gemma":[0.00009452028,0.00004464235,0.000022143922,0.0000961399,0.00003607164,0.00016107487,0.0000212651,0.00020954848,0.00001872229],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006112995,0.00018626524,0.5558316,0.00006151197,0.00003532967,0.000008236766,0.0032503828,0.000052667983,0.00014185131,0.140549,0.25743383,0.04238818],"study_design_scores_gemma":[0.0005120307,0.00012458792,0.27192086,0.000076615026,0.0000038807875,0.0001339811,0.00071331975,0.00024744918,0.000051364714,0.15209167,0.5739821,0.00014214002],"about_ca_topic_score_codex":0.00025852793,"about_ca_topic_score_gemma":0.0000041917206,"teacher_disagreement_score":0.3165483,"about_ca_system_score_codex":0.000042818374,"about_ca_system_score_gemma":0.0001365744,"threshold_uncertainty_score":0.18204623},"labels":[],"label_agreement":null},{"id":"W2099655985","doi":"10.5539/ijef.v6n2p62","title":"Portfolio Diversification Strategy and the Impacts on the Middle East Real Estate Investment Decision","year":2014,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Real estate; Portfolio; Financial economics; Portfolio insurance; Business; Systematic risk; Investment strategy; Economics; Stock market; Modern portfolio theory; Portfolio optimization; Finance; Replicating portfolio; Marketing","score_opus":0.04586686162398065,"score_gpt":0.2196699062895353,"score_spread":0.17380304466555466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099655985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9272962,0.00014387605,0.00014560895,0.0027419403,0.0005787485,0.000074067386,0.00002341768,0.0000019000679,0.0689942],"genre_scores_gemma":[0.9522392,0.046691857,0.00019438405,0.00058901,0.00019858043,0.0000023668888,0.000002253816,0.000009634089,0.00007268791],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990863,0.000018977706,0.0005830265,0.00016470485,0.00002617448,0.000120770084],"domain_scores_gemma":[0.9986869,0.0002361967,0.00082926353,0.0001518223,0.00005264242,0.000043140302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012795345,0.0001084255,0.00023681845,0.00011248384,0.00011323966,0.00022525416,0.00030245804,0.00004497189,0.00001944428],"category_scores_gemma":[0.00010014846,0.00007789426,0.00007950458,0.000029733928,0.00015239087,0.0002451912,0.00006430262,0.00013380815,0.00001951414],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034075163,0.00003330705,0.0023959156,0.0000020318328,0.00007165081,0.0000017996065,0.00058858737,0.0035562268,9.972898e-7,0.9416677,0.00037918906,0.05096187],"study_design_scores_gemma":[0.004862676,0.00035217483,0.056102198,0.00009617935,0.00002306907,0.00012165364,0.0005450399,0.14449647,0.00002392188,0.5497593,0.24322028,0.00039701565],"about_ca_topic_score_codex":0.00011393895,"about_ca_topic_score_gemma":0.000039739476,"teacher_disagreement_score":0.39190835,"about_ca_system_score_codex":0.00008284866,"about_ca_system_score_gemma":0.000024276522,"threshold_uncertainty_score":0.31764358},"labels":[],"label_agreement":null},{"id":"W2101675159","doi":"10.1111/j.1080-8620.2004.00104.x","title":"Stochastic Modeling of Federal Housing Administration Home Equity Conversion Mortgages with Low‐Cost Refinancing","year":2004,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Home equity; Loan; Equity (law); Economics; Closing (real estate); Value (mathematics); Finance; Monetary economics; Actuarial science; Business","score_opus":0.03464227685424162,"score_gpt":0.23886989766525638,"score_spread":0.20422762081101475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101675159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9377127,0.000016063417,0.036317945,0.00013032705,0.0003316401,0.00027259756,0.000096527336,0.00006290152,0.02505925],"genre_scores_gemma":[0.9952079,0.0020333924,0.002440095,0.00004521673,0.000100822544,0.0000115728135,0.000067188754,0.00006982644,0.000023980343],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979057,0.000010449749,0.0009927647,0.0005624518,0.000031422856,0.0004972223],"domain_scores_gemma":[0.9986619,0.000044361885,0.00071407657,0.00037695686,0.00005079287,0.0001519425],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006039911,0.00028614647,0.0006638819,0.00023743053,0.00022106436,0.00017547682,0.0002301294,0.000152527,0.000024029552],"category_scores_gemma":[0.000031448173,0.00035326008,0.00012427499,0.00011907061,0.00010525085,0.00073265936,0.00011141785,0.00020617104,0.000065965614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002724931,0.0001182687,0.0069795246,0.00013223142,0.000056978053,0.0000079724105,0.00064266904,0.97062016,0.000013030486,0.014960497,0.000004315455,0.00619184],"study_design_scores_gemma":[0.005627358,0.00072100695,0.0045650695,0.00031618032,0.0000530451,0.00006171346,0.0010211457,0.9543895,0.00061632844,0.030522663,0.00033168006,0.001774326],"about_ca_topic_score_codex":0.0019387468,"about_ca_topic_score_gemma":0.0007319409,"teacher_disagreement_score":0.05749516,"about_ca_system_score_codex":0.00072112493,"about_ca_system_score_gemma":0.00026480062,"threshold_uncertainty_score":0.99989194},"labels":[],"label_agreement":null},{"id":"W2101969097","doi":"10.1111/j.1540-6229.2006.00175.x","title":"The Inevitability of Marketwide Underpricing of Mortgage Default Risk","year":2006,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Shareholder; Monetary economics; Economics; Incentive; Crash; Asset (computer security); Default risk; Exploit; Financial economics; Business; Actuarial science; Finance; Credit risk; Microeconomics","score_opus":0.010995694101842106,"score_gpt":0.19079934054283598,"score_spread":0.17980364644099386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101969097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76624304,0.00008650285,0.00039466226,0.000078816374,0.00027988854,0.00015525921,0.0001884136,0.000020646978,0.23255277],"genre_scores_gemma":[0.9813505,0.01746871,0.00077505066,0.00000972409,0.00008792366,0.0000077471805,0.000018936862,0.00004062894,0.0002407783],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975598,0.00004442526,0.0016119966,0.00038001116,0.000019918614,0.00038388773],"domain_scores_gemma":[0.9971464,0.0006081345,0.0014854888,0.0006555411,0.00004129754,0.00006309937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020494764,0.00020164708,0.00063458795,0.00013161349,0.0001691286,0.000053707747,0.00036076695,0.000115015595,0.000044390268],"category_scores_gemma":[0.00016813351,0.00020789333,0.00023856666,0.0001363806,0.00025881184,0.00021932299,0.000107926455,0.00017540656,0.000043873148],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018223477,0.00019527633,0.8429012,0.00011987646,0.00013804152,0.0000013227097,0.0003256079,0.021418517,0.00002939367,0.086598255,0.00032572373,0.047764573],"study_design_scores_gemma":[0.0014694588,0.00014891541,0.60542536,0.000028496279,0.000050658706,0.000006233275,0.0004853674,0.073251836,0.00080204406,0.2942842,0.02324786,0.00079958636],"about_ca_topic_score_codex":0.010040377,"about_ca_topic_score_gemma":0.0028367764,"teacher_disagreement_score":0.23747583,"about_ca_system_score_codex":0.00022655193,"about_ca_system_score_gemma":0.000063962965,"threshold_uncertainty_score":0.9965519},"labels":[],"label_agreement":null},{"id":"W2102077277","doi":"10.1111/ecin.12066","title":"SUPERSTITION IN THE HOUSING MARKET","year":2014,"lang":"en","type":"article","venue":"Economic Inquiry","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Superstition; Real estate; Economics; Immigration; Population; Residential real estate; House price; Financial economics; Demographic economics; Monetary economics; Finance; Geography; Demography; Sociology","score_opus":0.039774898637103824,"score_gpt":0.22483213606861277,"score_spread":0.18505723743150895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102077277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5623092,0.00007207692,0.0010907889,0.0008886167,0.0024745178,0.00013729032,0.000011495284,0.000035624544,0.4329804],"genre_scores_gemma":[0.9969283,0.000118772274,0.00026479902,0.001091719,0.0013163268,0.000021273292,0.000012991939,0.000029385306,0.00021647442],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985896,0.00005304111,0.00059388136,0.00039657147,0.000013889276,0.00035301616],"domain_scores_gemma":[0.9991636,0.00015071276,0.00018397356,0.00045526488,0.000004018921,0.00004238496],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0023413443,0.00015481685,0.00031471543,0.00021771804,0.00012312866,0.00015739119,0.00035167695,0.0001097847,0.0010624838],"category_scores_gemma":[0.00007456808,0.00016566776,0.00010253637,0.00007482967,0.00010575205,0.00034646076,0.000047239173,0.00017359451,0.0020417485],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009847396,0.00016650512,0.22199725,0.00006375981,0.00005211307,0.00000829238,0.007817702,0.002696462,0.000007960161,0.6595699,0.09045012,0.017071443],"study_design_scores_gemma":[0.0017176867,0.00010798156,0.08866725,0.00003297313,0.000008677672,0.00002262505,0.0014431839,0.07211214,0.000019150139,0.13985638,0.6950928,0.00091915065],"about_ca_topic_score_codex":0.00023138648,"about_ca_topic_score_gemma":0.00022204156,"teacher_disagreement_score":0.6046427,"about_ca_system_score_codex":0.0002508227,"about_ca_system_score_gemma":0.000017446122,"threshold_uncertainty_score":0.9998507},"labels":[],"label_agreement":null},{"id":"W2102144769","doi":"10.1007/s10797-006-4938-6","title":"The Property Tax as a Tax on Value: Deadweight Loss","year":2002,"lang":"en","type":"article","venue":"International Tax and Public Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Value-added tax; Ad valorem tax; Indirect tax; Tax credit; Tax reform; Tax rate; Economics; Property tax; Direct tax; Double taxation; Monetary economics; Microeconomics; Public economics","score_opus":0.030863694181230285,"score_gpt":0.20868225591829162,"score_spread":0.17781856173706134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102144769","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23032883,0.001215481,0.00046199266,0.038451098,0.0021188422,0.00022436968,0.00020905794,0.000047499874,0.72694284],"genre_scores_gemma":[0.93051225,0.00476176,0.0001505017,0.0010952348,0.00032879403,0.000044386874,0.0000095247815,0.00002218664,0.06307537],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998756,0.000016009037,0.00042787255,0.000408338,0.00006334704,0.00032842095],"domain_scores_gemma":[0.9991954,0.00011696173,0.00027668008,0.00029118173,0.000052066225,0.00006771383],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00042727852,0.00016618181,0.00020229732,0.00011919107,0.00031477655,0.00043659317,0.00047132614,0.00009227957,0.00068732165],"category_scores_gemma":[0.0003221312,0.00012530929,0.0000843917,0.00012355372,0.00014289781,0.00036676606,0.000091028334,0.00019574819,0.0015051585],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040256222,0.00014268354,0.01994059,0.000007730669,0.00006534248,0.000012250942,0.00017759361,0.000071361916,0.0000012206683,0.85380673,0.057123262,0.068610966],"study_design_scores_gemma":[0.00038842217,0.000057853442,0.0031852447,0.000014549207,0.000001283956,0.00002069251,0.00001199809,0.017517475,0.000009980599,0.030412326,0.9481811,0.00019906918],"about_ca_topic_score_codex":0.00044807082,"about_ca_topic_score_gemma":0.00012633622,"teacher_disagreement_score":0.89105785,"about_ca_system_score_codex":0.000112704896,"about_ca_system_score_gemma":0.000017729753,"threshold_uncertainty_score":0.9992723},"labels":[],"label_agreement":null},{"id":"W2102902950","doi":"10.17169/fudocs_document_000000014230","title":"The making of America’s imbalances","year":2012,"lang":"en","type":"article","venue":"Refubium (Universitätsbibliothek der Freien Universität Berlin)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University","keywords":"Boom; Global imbalances; Current account; Financial crisis; Balance sheet; Economics; Asset (computer security); Balance (ability); Government (linguistics); Financial market; Emerging markets; Financial system; Monetary economics; Business; Finance; Macroeconomics; Exchange rate","score_opus":0.023543239091729146,"score_gpt":0.21203298888016686,"score_spread":0.18848974978843772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102902950","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13194142,0.0054218643,0.02021036,0.002707447,0.0020374905,0.00039575383,0.00016057496,0.00017855389,0.83694655],"genre_scores_gemma":[0.9923186,0.001506275,0.0020989468,0.00023983697,0.00018181161,0.0000010556587,0.0000143161915,0.000040632487,0.0035985727],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99832636,0.000046048855,0.0004268328,0.0003701704,0.00008203814,0.0007485603],"domain_scores_gemma":[0.9983733,0.0001509505,0.0006560579,0.0006279328,0.00006553493,0.00012619981],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005869617,0.00024620997,0.00047752372,0.0012927031,0.0005722691,0.00009960561,0.000844184,0.00014852759,0.00057110755],"category_scores_gemma":[0.00004283108,0.000260113,0.00025099184,0.0018493296,0.0003628361,0.0033033574,0.0002759378,0.0002300056,0.00049320137],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030471428,0.00033848482,0.12792005,0.00009774186,0.0008978859,0.000022724807,0.006685775,0.00032771574,0.00014963314,0.8255496,0.019614786,0.018090889],"study_design_scores_gemma":[0.00087509473,0.000082269806,0.006454939,0.00003210371,0.000074476535,0.0000151712175,0.005553344,0.0023130123,0.000056222765,0.0051088715,0.9788555,0.00057898235],"about_ca_topic_score_codex":0.00016060454,"about_ca_topic_score_gemma":0.000036609326,"teacher_disagreement_score":0.95924073,"about_ca_system_score_codex":0.00026636614,"about_ca_system_score_gemma":0.000047761758,"threshold_uncertainty_score":0.9999851},"labels":[],"label_agreement":null},{"id":"W2103463652","doi":"10.1111/j.1540-6229.2012.00334.x","title":"Fixed Come Hell or High Water? Selection and Prepayment of Fixed‐Rate Mortgages Outside the United States","year":2012,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Prepayment of loan; Fixed interest rate loan; Economics; Floating interest rate; Interest rate; Fixed cost; Selection (genetic algorithm); Fixed exchange rates; Monetary economics; Finance; Exchange rate; Microeconomics; Computer science","score_opus":0.027483396175251175,"score_gpt":0.21816037973201924,"score_spread":0.19067698355676807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103463652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900777,0.000039883496,0.00013038407,0.00053835375,0.0005460495,0.00030149025,0.00019850292,0.000053261436,0.008114407],"genre_scores_gemma":[0.97280896,0.025449257,0.00038421387,0.0001478475,0.00014796591,0.000026346806,0.0002032543,0.00005883365,0.00077333837],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980469,0.000055040757,0.0009310112,0.00036094635,0.000017077737,0.00058907585],"domain_scores_gemma":[0.99876976,0.00020293081,0.0004887597,0.00034593436,0.000031239357,0.00016135936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013245128,0.0002672822,0.00056941283,0.00024085297,0.00019309396,0.00011710283,0.0002082503,0.00012250252,0.00018602407],"category_scores_gemma":[0.000034105295,0.00021275978,0.00008858827,0.00012234613,0.00014922887,0.00044586614,0.00013606396,0.00016835476,0.00013725612],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021700296,0.0011384425,0.7107142,0.000839594,0.0017109789,0.000009571783,0.031344164,0.10909947,0.0004856059,0.098933436,0.0025941746,0.040960323],"study_design_scores_gemma":[0.005703068,0.0011542983,0.18402211,0.00008743846,0.00022800462,0.00009716413,0.0035829938,0.27189144,0.015201123,0.032229353,0.48268703,0.0031159818],"about_ca_topic_score_codex":0.0050199213,"about_ca_topic_score_gemma":0.0007547401,"teacher_disagreement_score":0.5266921,"about_ca_system_score_codex":0.00022065133,"about_ca_system_score_gemma":0.000026454743,"threshold_uncertainty_score":0.86760926},"labels":[],"label_agreement":null},{"id":"W2103721768","doi":"10.3386/w17448","title":"Costly Contracts and Consumer Credit","year":2011,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Science Foundation","keywords":"Business; Commerce; Financial system; Finance","score_opus":0.47537987061702863,"score_gpt":0.4568071449837905,"score_spread":0.01857272563323814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103721768","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004617619,0.00411641,0.000007766365,0.00026740564,0.0014637851,0.00064366614,0.00055992784,0.000022988328,0.98830044],"genre_scores_gemma":[0.9433274,0.033878446,0.0004893184,0.00007225527,0.0017930784,0.00018867229,0.00053495215,0.00016932278,0.01954653],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996517,0.000066843466,0.0016186561,0.0009139224,0.00024992749,0.0006336553],"domain_scores_gemma":[0.996574,0.0008764054,0.0010136913,0.00047810542,0.0008217773,0.0002360119],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.009330331,0.0003287675,0.0011815862,0.0013533685,0.00017272639,0.00014798761,0.0005470903,0.0007259842,0.002627978],"category_scores_gemma":[0.0018664206,0.00041787577,0.00022294959,0.00012761995,0.0006044366,0.00032536444,0.00026176145,0.0009051815,0.00152485],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010946394,0.00012879376,0.014332118,0.00024389259,0.0004536601,0.0000066948646,0.00013650066,0.000015877707,0.0000060159055,0.80594456,0.17450772,0.0041146763],"study_design_scores_gemma":[0.0006502028,0.00008655832,0.0026804446,0.00007166042,0.000011808036,0.000029255134,0.00002204692,0.0003008439,0.000026378202,0.55594033,0.43976614,0.00041433383],"about_ca_topic_score_codex":0.00386793,"about_ca_topic_score_gemma":0.0003144889,"teacher_disagreement_score":0.9687539,"about_ca_system_score_codex":0.001465601,"about_ca_system_score_gemma":0.0016320864,"threshold_uncertainty_score":0.9998273},"labels":[],"label_agreement":null},{"id":"W2104093714","doi":"","title":"The Paris OECD-IMF Workshop on Real Estate Price Indexes: Conclusions and Future Directions","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Real estate; Depreciation (economics); Stock (firearms); Hedonic pricing; Economics; Hedonic regression; Residential real estate; Hedonic index; Quality (philosophy); Econometrics; Stock price; Financial economics; Cost approach; Price index; Real estate investment trust; Actuarial science; Finance; Microeconomics; Engineering; Profit (economics)","score_opus":0.0336256931155063,"score_gpt":0.2992581751301111,"score_spread":0.2656324820146048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104093714","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23835978,0.00088085415,0.0000063785646,0.0028842883,0.0023421124,0.000926663,0.0002126277,0.00008876664,0.7542985],"genre_scores_gemma":[0.13537297,0.85884833,0.00037280464,0.00017272723,0.001353801,0.00024670316,0.00007864879,0.0001617052,0.0033922824],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9952031,0.00016697324,0.0015536076,0.0015595426,0.00010332782,0.0014134687],"domain_scores_gemma":[0.9951151,0.002144388,0.00067657937,0.00159463,0.00007437137,0.00039494486],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0057456666,0.00054932106,0.0009943994,0.0009847876,0.0012686508,0.0007206159,0.000920951,0.000989761,0.00016076998],"category_scores_gemma":[0.00039150266,0.0005750431,0.00028071867,0.00024740992,0.0006514523,0.00017856846,0.0015958332,0.0032992414,0.00012083852],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003002581,0.00022944108,0.018575195,0.00009545019,0.00023476014,0.000029248382,0.002290065,0.0018423444,0.0000011153192,0.01689082,0.0006725255,0.95883876],"study_design_scores_gemma":[0.00061857083,0.000077976765,0.013439893,0.000093580275,0.0000084676885,0.000009603506,0.0017577551,0.0061292355,0.0000039824818,0.009563744,0.96754104,0.00075616565],"about_ca_topic_score_codex":0.0006442434,"about_ca_topic_score_gemma":0.0023690562,"teacher_disagreement_score":0.9668685,"about_ca_system_score_codex":0.0016918121,"about_ca_system_score_gemma":0.0003266478,"threshold_uncertainty_score":0.9996701},"labels":[],"label_agreement":null},{"id":"W2104136906","doi":"10.1002/bref.94","title":"Financial performance effects of synthetic leases","year":2003,"lang":"en","type":"article","venue":"Briefings in Real Estate Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Lease; Profitability index; Finance; Business; Control (management); Actuarial science; Sample (material); Accounting; Economics; Management","score_opus":0.012035242386282579,"score_gpt":0.19145339700791966,"score_spread":0.17941815462163707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104136906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8825735,0.00019868868,0.00019427472,0.000063492465,0.00035755994,0.00017736822,0.0000148181425,0.000026557575,0.11639377],"genre_scores_gemma":[0.97906405,0.01945614,0.00097133865,0.000104178864,0.00002300823,0.000032045955,0.0000032367784,0.000033141707,0.00031287715],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9982887,0.000022289143,0.0007488653,0.00044706106,0.000034367546,0.00045870565],"domain_scores_gemma":[0.99902445,0.00015124655,0.00042277493,0.0003415288,0.00002201053,0.000037992566],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00048201496,0.00020698899,0.0005633327,0.00020222424,0.00007295801,0.000026220181,0.00021255515,0.000121795856,0.000033649794],"category_scores_gemma":[0.0005616926,0.00026890307,0.00009907955,0.00032530655,0.00013680616,0.00025292777,0.00003608013,0.0001732464,0.00010769762],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022680493,0.0007707756,0.36967176,0.0016720879,0.00003188317,0.0001029598,0.002423401,0.0041344026,0.00012858311,0.42866713,0.0013770042,0.1907932],"study_design_scores_gemma":[0.0043649995,0.0006556494,0.66788274,0.00093794847,0.000020480493,0.000055569573,0.000041290336,0.007525247,0.010799277,0.05643491,0.24931313,0.0019687542],"about_ca_topic_score_codex":0.0010478123,"about_ca_topic_score_gemma":0.00007636381,"teacher_disagreement_score":0.37223223,"about_ca_system_score_codex":0.00010485802,"about_ca_system_score_gemma":0.00007361449,"threshold_uncertainty_score":0.99997634},"labels":[],"label_agreement":null},{"id":"W2104419098","doi":"10.19030/iber.v12i9.8055","title":"User Costs Of Housing And The Financial Crisis In Selected Countries","year":2013,"lang":"en","type":"article","venue":"International Business & Economics Research Journal (IBER)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Financial crisis; Order (exchange); Business; Real economy; TRACE (psycholinguistics); Economy; Economic policy; Economics; Finance; Geography; Macroeconomics; Monetary economics","score_opus":0.030096764159501552,"score_gpt":0.27208057202240044,"score_spread":0.2419838078628989,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104419098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97173524,0.0007346493,0.0004392491,0.014621642,0.00085310993,0.0003096366,0.00003630919,0.000008960634,0.011261178],"genre_scores_gemma":[0.9875531,0.0111977365,0.00036823752,0.00028514463,0.00037298078,0.00003204876,0.000008248434,0.00003330509,0.00014914946],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9978544,0.00008971642,0.00115645,0.00033370106,0.00009037245,0.00047534215],"domain_scores_gemma":[0.9977853,0.00050980126,0.0005306156,0.0002269326,0.00083944056,0.000107924054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029679916,0.00017452626,0.000512548,0.00091389293,0.00024228895,0.00078399695,0.0006438686,0.000135569,0.0006842195],"category_scores_gemma":[0.0011479219,0.00016551594,0.0000870935,0.00042990225,0.0004261855,0.0010668627,0.00023730187,0.00056991435,0.0001831549],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015102427,0.00036182316,0.43192482,0.0000897262,0.00041002256,0.000030470048,0.0028153535,0.0060715103,0.000047910627,0.5226353,0.014039559,0.020063287],"study_design_scores_gemma":[0.009396022,0.00008393176,0.54149866,0.00022092667,0.000014265405,0.00021883687,0.0011363593,0.042753145,0.00011541821,0.31110564,0.09257097,0.0008858185],"about_ca_topic_score_codex":0.0026134318,"about_ca_topic_score_gemma":0.0007837009,"teacher_disagreement_score":0.21152961,"about_ca_system_score_codex":0.0006080586,"about_ca_system_score_gemma":0.00020869049,"threshold_uncertainty_score":0.7560101},"labels":[],"label_agreement":null},{"id":"W2104806768","doi":"","title":"Studies in Hedonic Resale Housing Price Indexes","year":2006,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Econometrics; Hedonic regression; Hedonic index; Regression analysis; Regression; Linear regression; Listing (finance); Economics; Quality (philosophy); Service (business); Price index; Statistics; Actuarial science; Mathematics; Finance; Economy","score_opus":0.060927815150715624,"score_gpt":0.2506157061251759,"score_spread":0.1896878909744603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104806768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70057184,0.0015757418,0.00023375008,0.00023651817,0.00033480127,0.000080439015,0.0000040109826,0.000053377527,0.2969095],"genre_scores_gemma":[0.99559987,0.00059725513,0.001119109,0.00013583715,0.00014948813,0.00000910281,0.000003225049,0.000023313425,0.002362777],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987751,0.000008585595,0.00056563906,0.0003144515,0.000014766638,0.00032141636],"domain_scores_gemma":[0.9995247,0.000066424494,0.00015744136,0.00021272704,0.000012663949,0.000026024707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056775747,0.00012342908,0.0003509338,0.00027796996,0.00007170022,0.000059316473,0.00012752143,0.00007474615,0.00015327307],"category_scores_gemma":[0.00005716243,0.00014493887,0.000058868525,0.00023483677,0.000067317895,0.00023989027,0.00006873232,0.00010374423,0.0003889214],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020481579,0.0001245082,0.8062562,0.00005532858,0.000031946864,0.000014077003,0.00041156306,0.0013989869,0.000018356774,0.18600321,0.0045393845,0.0011259523],"study_design_scores_gemma":[0.0032752736,0.00012567101,0.2813128,0.00013225294,0.0000110727215,0.00001640508,0.0012377079,0.009625978,0.0005556547,0.50585264,0.19594839,0.0019061562],"about_ca_topic_score_codex":0.00082982815,"about_ca_topic_score_gemma":0.0014518936,"teacher_disagreement_score":0.5249434,"about_ca_system_score_codex":0.00022715164,"about_ca_system_score_gemma":0.000014338126,"threshold_uncertainty_score":0.59104353},"labels":[],"label_agreement":null},{"id":"W2106827741","doi":"10.1093/qje/qjt020","title":"Household Balance Sheets, Consumption, and the Economic Slump*","year":2013,"lang":"en","type":"article","venue":"The Quarterly Journal of Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1502,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Booth University College","funders":"","keywords":"Marginal propensity to consume; Consumption (sociology); Economics; Household debt; Balance sheet; Net worth; Distribution (mathematics); Demographic economics; Debt; Wealth distribution; Income elasticity of demand; Zip code; Labour economics; Monetary economics; Inequality; Macroeconomics; Finance","score_opus":0.023112261027920217,"score_gpt":0.19033699232183354,"score_spread":0.16722473129391333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106827741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9809446,0.0015788014,0.00028961507,0.0046434775,0.0012759018,0.00031000777,0.00003417588,0.000014829972,0.010908622],"genre_scores_gemma":[0.9939278,0.0042368555,0.0002822532,0.000745371,0.0005374816,0.000015489266,0.0000016187233,0.00004105861,0.00021208184],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99787045,0.00006123881,0.0014526985,0.0002502218,0.000016300439,0.000349069],"domain_scores_gemma":[0.9974495,0.0003901744,0.0014914883,0.00050393154,0.000032372645,0.00013252987],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020807763,0.00023174526,0.0007082694,0.00014763634,0.0002501406,0.0005002918,0.00067624275,0.00010418284,0.00059838954],"category_scores_gemma":[0.000032923792,0.00016902985,0.00024971133,0.000037123147,0.00049181446,0.0008015444,0.000046641908,0.00034381333,0.0008270184],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000578399,0.000109091394,0.08181686,0.00007198992,0.00093870406,0.000005332592,0.0067927674,0.0056339717,0.000013100207,0.8398857,0.023996599,0.040157482],"study_design_scores_gemma":[0.010742269,0.0006155219,0.05426334,0.00006225382,0.000121539495,0.00078844436,0.0017796092,0.074423745,0.000025693545,0.79379475,0.062182777,0.0012000346],"about_ca_topic_score_codex":0.00023546543,"about_ca_topic_score_gemma":0.000051417774,"teacher_disagreement_score":0.06878977,"about_ca_system_score_codex":0.00021641288,"about_ca_system_score_gemma":0.000057394413,"threshold_uncertainty_score":0.99995095},"labels":[],"label_agreement":null},{"id":"W2106956729","doi":"10.1111/j.1936-4490.2002.tb00277.x","title":"Real Estate Finance in Canada: A Preamble","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Preamble; Real estate; Citation; Estate; Library science; Management; Political science; Finance; Business; Engineering; Economics; Telecommunications; Computer science","score_opus":0.1064729442350031,"score_gpt":0.260654539878751,"score_spread":0.1541815956437479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106956729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8393969,0.00017998375,0.00007317482,0.00092732505,0.0005082698,0.00010839839,0.00007706728,0.000003222483,0.15872568],"genre_scores_gemma":[0.9958756,0.000608376,0.0030558303,0.000099267454,0.0000972771,0.0000052582545,0.0000018018594,0.0000103395505,0.00024624128],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973914,0.000061097504,0.0010325382,0.00044844314,0.00006337822,0.0010031444],"domain_scores_gemma":[0.9980686,0.0001294061,0.0007854035,0.00016294014,0.000098672,0.0007549832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002166326,0.00020625272,0.00043004227,0.00059796264,0.0007256491,0.00032685333,0.00077751826,0.0000772847,0.00035880695],"category_scores_gemma":[0.0005065535,0.00023738257,0.00008251917,0.0011615866,0.001602149,0.000989162,0.00001158473,0.00024589663,0.000014085193],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045493285,0.00010675763,0.8132009,0.0001015973,0.00003874756,0.0019281607,0.029699031,0.010430753,0.00005583099,0.12529728,0.0017129973,0.017382437],"study_design_scores_gemma":[0.00281129,0.0114218695,0.51410925,0.00097088114,0.00005243155,0.0059251906,0.044727042,0.20986973,0.0008777831,0.1532375,0.05218007,0.0038169336],"about_ca_topic_score_codex":0.91137135,"about_ca_topic_score_gemma":0.9993314,"teacher_disagreement_score":0.29909164,"about_ca_system_score_codex":0.0035626001,"about_ca_system_score_gemma":0.009948552,"threshold_uncertainty_score":0.9956641},"labels":[],"label_agreement":null},{"id":"W2108655173","doi":"10.1068/a38224","title":"Race, Gender, and Statistical Representation: Predatory Mortgage Lending and the US Community Reinvestment Movement","year":2007,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Foreclosure; Ethnic group; Respondent; Ambivalence; Demographic economics; Business; Political science; Economics; Finance; Psychology; Social psychology","score_opus":0.03902721822178832,"score_gpt":0.22946450802279908,"score_spread":0.19043728980101077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108655173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94744,0.0040490143,0.004829542,0.00035427124,0.00008862375,0.00025507848,0.000031664757,0.000015249722,0.042936552],"genre_scores_gemma":[0.9943173,0.0033699886,0.0013088227,0.00048880966,0.00006896137,0.000013901647,0.000019954376,0.000014646132,0.0003976085],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989901,0.000060458337,0.00036573815,0.00032144264,0.000020469359,0.00024179941],"domain_scores_gemma":[0.9990599,0.00040362254,0.00018442783,0.00021199578,0.0000019299134,0.0001381348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018977169,0.00016678181,0.00031474832,0.00007485663,0.00051938003,0.00015332473,0.000060961607,0.00007463059,0.00007003869],"category_scores_gemma":[0.000033177796,0.00016440634,0.000022091079,0.000020796684,0.00035672862,0.00019837804,0.00015947489,0.00024967946,0.000007627263],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019551064,0.000047433008,0.811926,0.000077236444,0.00012490481,0.000013132254,0.0077864826,0.00021571733,0.0000050853146,0.17573595,0.00058372744,0.0032888171],"study_design_scores_gemma":[0.0039259107,0.00013888461,0.80571336,0.00003125492,0.000050908115,0.00003354163,0.006206428,0.0123651475,0.000042682866,0.06741166,0.10344519,0.00063503685],"about_ca_topic_score_codex":0.0001764782,"about_ca_topic_score_gemma":0.0000107690885,"teacher_disagreement_score":0.10832428,"about_ca_system_score_codex":0.00004683615,"about_ca_system_score_gemma":0.000004124375,"threshold_uncertainty_score":0.6704296},"labels":[],"label_agreement":null},{"id":"W2108820416","doi":"10.1787/5jz0zbg20h34-en","title":"Deconstructing Canada's Housing Markets","year":2014,"lang":"en","type":"paratext","venue":"OECD Economics Department working papers","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Real estate; Taxpayer; Finance; Renting; Debt; Loan; Economics","score_opus":0.016335942191748033,"score_gpt":0.1905539792250735,"score_spread":0.17421803703332547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108820416","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055794675,0.0018263628,0.00007579265,0.00040989078,0.016813759,0.0005480919,0.00042060355,0.000091161295,0.9240197],"genre_scores_gemma":[0.9268062,0.010310359,0.0022489498,0.0029758636,0.0038995275,0.00016321601,0.0017606022,0.0007486469,0.051086646],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99397486,0.00007046994,0.0023615886,0.0019141976,0.00006730481,0.0016115623],"domain_scores_gemma":[0.9954808,0.0003515207,0.0024084917,0.0012766338,0.000020890637,0.00046169746],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011933915,0.0011380739,0.002164196,0.00047834966,0.00065020483,0.0006916247,0.0009897491,0.00078274554,0.008667845],"category_scores_gemma":[0.000065853696,0.0016117177,0.0005486586,0.00012472014,0.00016313058,0.0001585463,0.00035512392,0.00085653237,0.0095068645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033475747,0.00022794782,0.068102494,0.00083105924,0.003153308,0.000071629314,0.00028415193,0.020424614,0.000006423316,0.026145011,0.7193575,0.16106111],"study_design_scores_gemma":[0.0007348565,0.000026463225,0.00039495548,0.0001385998,0.00004679249,0.000022924789,0.00004466334,0.0016609882,0.000021619757,0.00077625195,0.9943923,0.0017396178],"about_ca_topic_score_codex":0.03219218,"about_ca_topic_score_gemma":0.1824586,"teacher_disagreement_score":0.87293303,"about_ca_system_score_codex":0.0034421256,"about_ca_system_score_gemma":0.00072852336,"threshold_uncertainty_score":0.99863315},"labels":[],"label_agreement":null},{"id":"W2109859157","doi":"10.19030/jber.v9i2.1817","title":"The Instability Of Tax Revenue And The Missing Risk Premium","year":2011,"lang":"en","type":"article","venue":"Journal of Business & Economics Research (JBER)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University; Concordia University","funders":"","keywords":"Economics; Revenue; Value (mathematics); Span (engineering); Tax revenue; Actuarial science; Econometrics; Public economics; Mathematics; Accounting; Statistics; Engineering","score_opus":0.09790861885378947,"score_gpt":0.27020919531522075,"score_spread":0.17230057646143127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109859157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.972448,0.0024903568,0.00036296103,0.0028741837,0.00070851005,0.0002923264,0.00011958837,0.0000036967726,0.020700386],"genre_scores_gemma":[0.9718032,0.026828986,0.00071698794,0.00003547012,0.00028350792,0.000007144584,8.595832e-7,0.000033599154,0.0002902755],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973351,0.00024468327,0.0016128963,0.00027595003,0.00006587279,0.0004655117],"domain_scores_gemma":[0.99582034,0.0011438469,0.0018222729,0.0006275481,0.00044472158,0.00014126847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015858144,0.0001669104,0.0006987876,0.0003086914,0.00055346044,0.0002474481,0.0008066319,0.00012885577,0.00007068732],"category_scores_gemma":[0.0026098492,0.00012216251,0.00020096071,0.0003136181,0.001253827,0.0005444684,0.00027578836,0.0006956403,0.000020766685],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008027653,0.00083369366,0.47782117,0.00054077164,0.0013161885,0.000025364141,0.014004457,0.0010747485,0.00007126049,0.28692365,0.010293917,0.19906713],"study_design_scores_gemma":[0.0043368284,0.00019147266,0.29170147,0.00013495362,0.00005133576,0.00010299262,0.0010225985,0.007057303,0.000243453,0.54501706,0.14967735,0.00046319643],"about_ca_topic_score_codex":0.0014109402,"about_ca_topic_score_gemma":0.0005580019,"teacher_disagreement_score":0.2580934,"about_ca_system_score_codex":0.00021404427,"about_ca_system_score_gemma":0.0002395552,"threshold_uncertainty_score":0.5496148},"labels":[],"label_agreement":null},{"id":"W2109913618","doi":"10.2747/0272-3638.23.8.703","title":"Immigration, Polarization, or Gentrification? Accounting for Changing House Prices and Dwelling Values in Gateway Cities","year":2002,"lang":"en","type":"article","venue":"Urban Geography","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Gentrification; Metropolitan area; Census; Polarization (electrochemistry); Immigration; House price; Geography; Global city; Economic geography; Demographic economics; Census tract; Univariate; Gateway (web page); Multivariate statistics; Economics; Economic growth; Sociology; Demography; Econometrics; Population; Statistics","score_opus":0.02136371374943552,"score_gpt":0.19414248391431307,"score_spread":0.17277877016487755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109913618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9758741,0.003541608,0.0154938875,0.00043543876,0.00036454812,0.00051483075,0.000057905832,0.00015061,0.0035670646],"genre_scores_gemma":[0.9943624,0.0016021244,0.0030526351,0.00019067206,0.00019813699,0.000056420766,0.000024316105,0.0000442203,0.00046905174],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987604,0.0000075400812,0.0005108783,0.0003417408,0.000021757396,0.00035766035],"domain_scores_gemma":[0.99938184,0.000093642695,0.00028228317,0.00016513643,0.000034731154,0.000042359366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005745421,0.00013908958,0.00024136194,0.00097052584,0.00028453357,0.00024864412,0.00011939288,0.00008523038,0.00012350712],"category_scores_gemma":[0.000073066425,0.00016122601,0.00007218597,0.000513589,0.000048682916,0.0004683951,0.000024249233,0.000066043205,0.00003152303],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001615334,0.00004889717,0.97739756,0.00007254873,0.000032973152,4.4044663e-7,0.005024277,0.00013700004,0.000008117346,0.014881288,0.00053813745,0.0018425969],"study_design_scores_gemma":[0.0048115547,0.00034870257,0.3239782,0.0002120654,0.00008296693,0.000011774536,0.006738374,0.40931052,0.00037073798,0.06980902,0.18148592,0.00284019],"about_ca_topic_score_codex":0.000087608154,"about_ca_topic_score_gemma":0.00004289952,"teacher_disagreement_score":0.6534194,"about_ca_system_score_codex":0.00002831295,"about_ca_system_score_gemma":0.0000048644843,"threshold_uncertainty_score":0.6574606},"labels":[],"label_agreement":null},{"id":"W2110044087","doi":"10.2139/ssrn.463534","title":"Dynamic Tax Planning With an Application to Estate Freezes","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Estate planning; Tax planning; Business; Estate tax; Estate; Finance; Ad valorem tax; Double taxation; Tax avoidance","score_opus":0.00856750233713791,"score_gpt":0.21217270271781785,"score_spread":0.20360520038067995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110044087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75099206,0.0003396168,0.2221281,0.00024528176,0.00012539024,0.00013552756,0.000006863114,0.000032204407,0.025994943],"genre_scores_gemma":[0.9956458,0.00093531015,0.0025667734,0.00010141091,0.000054306165,0.000011968733,0.000006359806,0.000041111325,0.00063693896],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980364,0.000018635397,0.00034970752,0.0002888114,0.000027152575,0.0012792931],"domain_scores_gemma":[0.9993614,0.000015244653,0.00024573327,0.0002259905,0.000021710788,0.0001299287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014628853,0.00014187154,0.00022563954,0.0002032494,0.0002029533,0.00011795341,0.00020584487,0.000057377427,0.00003281719],"category_scores_gemma":[0.00002798377,0.00015219812,0.00004615439,0.00016891668,0.00002048163,0.0003092664,0.000010838326,0.0005870043,0.00018719092],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021463771,0.00016371725,0.06696488,0.000011420709,0.00020307854,0.000006285757,0.0010900578,0.018440904,0.000082393686,0.85305065,0.00008657134,0.059685398],"study_design_scores_gemma":[0.0015006968,0.0013057608,0.0043758913,0.000022517354,0.00002092093,0.00050577737,0.002097169,0.017029325,0.000044060173,0.91229045,0.059899647,0.00090779096],"about_ca_topic_score_codex":0.00010829736,"about_ca_topic_score_gemma":0.0014649021,"teacher_disagreement_score":0.24465375,"about_ca_system_score_codex":0.0007552336,"about_ca_system_score_gemma":0.00026959195,"threshold_uncertainty_score":0.62064594},"labels":[],"label_agreement":null},{"id":"W2110185467","doi":"10.17016/feds.2015.015","title":"Consumers' Attitudes and Their Inflation Expectations","year":2015,"lang":"en","type":"article","venue":"Finance and Economics Discussion Series","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Pessimism; Inflation (cosmology); Recession; Economics; Purchasing; Demographic economics; Monetary economics; Macroeconomics","score_opus":0.03172101513323408,"score_gpt":0.2217489291784183,"score_spread":0.1900279140451842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110185467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9746548,0.0013839148,0.0002978856,0.0020225106,0.00039788178,0.00013642067,0.00008313713,0.000044816134,0.020978635],"genre_scores_gemma":[0.9943104,0.0035810694,0.0008374051,0.00010048636,0.000068944864,0.000025830772,0.000030557803,0.000023306655,0.0010220289],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99893886,0.000009723601,0.00044268483,0.00038075776,0.000008581332,0.00021937907],"domain_scores_gemma":[0.9994021,0.000027497656,0.00022916685,0.00020994688,0.000019466552,0.0001117956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002631117,0.00018122784,0.00035554825,0.00012531319,0.00019925059,0.0001867855,0.000086897955,0.00010049339,0.000034982415],"category_scores_gemma":[0.000047841066,0.00015023106,0.000042881915,0.00006244684,0.00016637094,0.0010000133,0.000097499884,0.00008459597,0.000120121076],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017481051,0.00009157945,0.5627267,0.00007091613,0.000077530785,0.0000018310708,0.013889549,0.0003300893,0.000016659991,0.38667673,0.0018267876,0.03411682],"study_design_scores_gemma":[0.002464429,0.0002792636,0.1613081,0.00008074325,0.000012952707,0.0000581223,0.011618468,0.00837517,0.00026983468,0.3035077,0.51057035,0.0014549193],"about_ca_topic_score_codex":0.000045148812,"about_ca_topic_score_gemma":0.00015357543,"teacher_disagreement_score":0.5087435,"about_ca_system_score_codex":0.000055954595,"about_ca_system_score_gemma":0.000032097483,"threshold_uncertainty_score":0.6126245},"labels":[],"label_agreement":null},{"id":"W2110275227","doi":"10.7202/021591ar","title":"Geography and Property Taxation","year":2005,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Humanities; Political science; Geography; Philosophy","score_opus":0.008035017145554255,"score_gpt":0.1707248073889975,"score_spread":0.16268979024344327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110275227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8482885,0.028662965,0.0017321024,0.0311894,0.0012894495,0.00033270952,0.0000636514,0.00009713256,0.08834412],"genre_scores_gemma":[0.928788,0.03690898,0.0036524218,0.002578939,0.0011490505,0.000050154424,0.000026347474,0.000101653895,0.026744468],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.997914,0.000051826093,0.0006906742,0.0006199191,0.000033640474,0.0006899058],"domain_scores_gemma":[0.9985552,0.00010908134,0.0006160799,0.00038805866,0.000044373246,0.00028721098],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.000950928,0.00032246692,0.00049850775,0.0007663272,0.00039279007,0.00025234793,0.00023772343,0.00051114085,0.00051394996],"category_scores_gemma":[0.00025883052,0.00037354272,0.00030428474,0.00056210806,0.0031178785,0.00058761146,0.000053199874,0.00047374485,0.00036409494],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060642782,0.00021306222,0.5345865,0.00014271459,0.0002258607,0.0000097322,0.002348371,0.0001994511,0.000007848456,0.0698104,0.02078815,0.37160727],"study_design_scores_gemma":[0.00072754925,0.00008106885,0.0794944,0.000045455643,0.000051086674,0.000041339143,0.00011636638,0.004712965,0.000013576843,0.005058541,0.90908974,0.00056791614],"about_ca_topic_score_codex":0.012755275,"about_ca_topic_score_gemma":0.01764419,"teacher_disagreement_score":0.8883016,"about_ca_system_score_codex":0.00048363264,"about_ca_system_score_gemma":0.00013820131,"threshold_uncertainty_score":0.9998717},"labels":[],"label_agreement":null},{"id":"W2110316842","doi":"10.1111/j.1936-4490.2002.tb00279.x","title":"Do Sales Prices Overstate Underlying House Prices in Market Downturns? Evidence from the Canadian House Price Crash of 1991","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph; University of Toronto","funders":"","keywords":"Economics; Crash; Real estate; House price; Stock (firearms); Stock price; Econometrics; Financial economics; Finance; Geography; Computer science","score_opus":0.21250073898852348,"score_gpt":0.2987182277960949,"score_spread":0.08621748880757144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110316842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9738688,0.002211776,0.0001691995,0.0024850736,0.0005692111,0.00026545103,0.00017885743,0.000011085637,0.020240568],"genre_scores_gemma":[0.99458456,0.00070479943,0.0042888974,0.00020226162,0.00012247464,0.000006623665,0.0000021538751,0.000023025197,0.000065195636],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99670506,0.000121239646,0.0013290646,0.00060935,0.00013106504,0.0011042216],"domain_scores_gemma":[0.99599755,0.000840538,0.0015156928,0.0003072225,0.00017896296,0.0011600103],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.005025002,0.00029473487,0.0005414193,0.0009798605,0.0014306762,0.001101431,0.0015714573,0.0001596756,0.00051630917],"category_scores_gemma":[0.0020469017,0.00027765892,0.00015372549,0.001725325,0.0033985132,0.0020155876,0.000024462055,0.00038534982,0.00002074942],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065493456,0.00009756104,0.864474,0.00013335129,0.00009943039,0.0005146615,0.077766456,0.0030134567,0.00010766345,0.049266115,0.0017732817,0.0026885548],"study_design_scores_gemma":[0.0010431269,0.004302127,0.8296353,0.0018418516,0.00007688419,0.0007785693,0.038473483,0.021192124,0.00024111966,0.08813842,0.012544975,0.0017320269],"about_ca_topic_score_codex":0.43302354,"about_ca_topic_score_gemma":0.99083424,"teacher_disagreement_score":0.5578107,"about_ca_system_score_codex":0.0019821764,"about_ca_system_score_gemma":0.0040943995,"threshold_uncertainty_score":0.9999676},"labels":[],"label_agreement":null},{"id":"W2110745764","doi":"10.5539/ibr.v3n3p16","title":"Housing Crises: A Theoretical Study of the Home Building Industry in Nigeria","year":2010,"lang":"en","type":"article","venue":"International Business Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Finance; Housing industry; Engineering; Telecommunications","score_opus":0.070290220588459,"score_gpt":0.342044130723125,"score_spread":0.271753910134666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110745764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9684884,0.000010470198,0.000057003206,0.0013170192,0.001361459,0.00021692082,0.000012813621,0.000009120016,0.028526828],"genre_scores_gemma":[0.99949336,0.000016628786,0.00011314388,0.000030421983,0.00021458098,0.00002274155,0.0000014310166,0.000021059823,0.00008663395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99871504,0.000050067338,0.0005139564,0.00030415013,0.0001377468,0.00027902127],"domain_scores_gemma":[0.99904287,0.00020711296,0.00013333297,0.000357719,0.00021781378,0.00004115374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020177295,0.0000915651,0.00021763972,0.00056337006,0.00010548874,0.00014924335,0.000811512,0.00023129645,0.00078222126],"category_scores_gemma":[0.0011597188,0.000084943116,0.0000433973,0.00072048925,0.00028548602,0.00020279438,0.00039750172,0.0013391293,0.000039522605],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004945038,0.00038902235,0.9209522,0.000009996629,0.000020093712,0.000005493558,0.000591984,0.00021941913,0.00035936185,0.07678648,0.00007133861,0.0005451796],"study_design_scores_gemma":[0.0008653864,0.00002588962,0.9021221,0.000039227434,0.0000011272684,0.000004716705,0.00070153637,0.0016044864,0.00013960662,0.092720546,0.0016157212,0.00015967607],"about_ca_topic_score_codex":0.0006407407,"about_ca_topic_score_gemma":0.0006213875,"teacher_disagreement_score":0.031004991,"about_ca_system_score_codex":0.000112772024,"about_ca_system_score_gemma":0.000068088004,"threshold_uncertainty_score":0.85647744},"labels":[],"label_agreement":null},{"id":"W2110931923","doi":"10.1080/0042098032000116103","title":"Estimating the Effect of Land Leases on Prices of Inner-city Apartment Buildings","year":2003,"lang":"en","type":"article","venue":"Urban Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Freehold; Apartment; Lease; Real estate; Valuation (finance); Renting; Payment; Business; Sample (material); Economics; Econometrics; Finance; Civil engineering; Engineering","score_opus":0.03434036083010866,"score_gpt":0.24596920526244992,"score_spread":0.21162884443234126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110931923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9684559,0.0033456527,0.000081477025,0.000066166955,0.00030339498,0.0001474561,0.000016282273,0.000011110929,0.027572531],"genre_scores_gemma":[0.9990162,0.00018806783,0.00059302873,0.000027702596,0.000045008033,0.000014925465,8.270019e-7,0.000009332898,0.000104889616],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992352,0.000021529691,0.00039833138,0.00017524695,0.000023497862,0.0001461596],"domain_scores_gemma":[0.9989414,0.00043964753,0.0003945212,0.00018901382,0.000018163026,0.000017221564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078715885,0.00011674514,0.00045855527,0.000073083174,0.000105163155,0.000013565879,0.000102740094,0.000028020035,0.000022533444],"category_scores_gemma":[0.0006280241,0.00008658965,0.00008448383,0.0000999383,0.00011682963,0.00005338694,0.00003995067,0.000057647452,0.000015331076],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004033607,0.000051132603,0.97582483,0.00017747897,0.00026235334,4.865028e-7,0.0010616196,0.0011649719,0.0000072055923,0.017610837,0.0021397222,0.0016590266],"study_design_scores_gemma":[0.016871756,0.013525931,0.41865903,0.0021310477,0.0008596717,0.000023896499,0.0030422607,0.017790182,0.077711016,0.13119717,0.31332982,0.0048582265],"about_ca_topic_score_codex":0.000045635792,"about_ca_topic_score_gemma":0.000010754194,"teacher_disagreement_score":0.5571658,"about_ca_system_score_codex":0.00004310226,"about_ca_system_score_gemma":0.0000047359117,"threshold_uncertainty_score":0.35310236},"labels":[],"label_agreement":null},{"id":"W2111210275","doi":"10.1111/1467-9787.00247","title":"On the Rank‐Size Distribution for Human Settlements","year":2002,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":170,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Log-normal distribution; Rank (graph theory); Mathematics; Settlement (finance); Pareto principle; Pareto distribution; Distribution (mathematics); Parametric statistics; Econometrics; Statistics; Statistical physics; Economics; Combinatorics; Physics; Mathematical analysis","score_opus":0.07122250195528586,"score_gpt":0.251759584303078,"score_spread":0.18053708234779214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111210275","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9612015,0.00012724439,0.0031304187,0.013569173,0.00069705845,0.00014712346,0.00004881148,0.0000055776513,0.021073118],"genre_scores_gemma":[0.99868226,0.00008971226,0.00019960137,0.0005154417,0.00015945919,0.0000022519832,9.545246e-7,0.0000043067766,0.0003460187],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99924296,0.000006003551,0.0003693993,0.0001257859,0.0000695784,0.00018627127],"domain_scores_gemma":[0.99907416,0.00020118542,0.00047600424,0.00011978394,0.00006514316,0.000063733474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016570075,0.000060305534,0.00013821191,0.0000525619,0.00036944545,0.00009604727,0.00038281517,0.000023549532,0.00029061385],"category_scores_gemma":[0.0004078439,0.000046291494,0.000109053086,0.00016963022,0.00018965767,0.00024831982,0.000020055764,0.00009050563,0.000053387485],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035121502,0.00012118532,0.003992922,0.0000055533546,0.00001978036,0.0000016759358,0.0001827872,0.00015582272,0.00015203058,0.91311365,0.07990109,0.0023183539],"study_design_scores_gemma":[0.0015907463,0.00053962035,0.030364623,0.00005924144,0.00001042613,0.000052306477,0.0000971157,0.008162857,0.00020400847,0.50823975,0.4503535,0.00032583816],"about_ca_topic_score_codex":0.000004648524,"about_ca_topic_score_gemma":0.0000017316838,"teacher_disagreement_score":0.40487394,"about_ca_system_score_codex":0.00019056539,"about_ca_system_score_gemma":0.00001786429,"threshold_uncertainty_score":0.31820178},"labels":[],"label_agreement":null},{"id":"W2111979421","doi":"10.1177/0042098009360689","title":"Exploring Spatial Dynamics with Land Price Indexes","year":2010,"lang":"en","type":"article","venue":"Urban Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Econometrics; Price index; Outlier; Depreciation (economics); Land price; Economics; Index (typography); Sample (material); Spatial analysis; Geography; Database transaction; Statistics; Agricultural economics; Computer science; Mathematics; Microeconomics; Database","score_opus":0.08010082724879436,"score_gpt":0.21580656439605614,"score_spread":0.13570573714726178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111979421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9328259,0.00041587817,0.00054741045,0.00028781797,0.0011265799,0.00009873096,0.000026446573,0.00006953358,0.064601675],"genre_scores_gemma":[0.9975005,0.00066647684,0.00074577384,0.000055269353,0.00036602776,0.000034804212,0.000005502985,0.000029213788,0.0005964602],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991208,0.0000037183038,0.00029007118,0.0002952889,0.000021611027,0.00026851147],"domain_scores_gemma":[0.9994419,0.00006433953,0.00016671474,0.00024476313,0.000029946448,0.000052307703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025889327,0.00015222067,0.0003547944,0.00012569455,0.00016756481,0.000063254476,0.00013315884,0.000047129135,0.000051298855],"category_scores_gemma":[0.00009102104,0.00014856675,0.000045466175,0.00010517594,0.00010690731,0.00028080365,0.00008325535,0.00020250281,0.00017125935],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030284082,0.000035263893,0.9640238,0.000031490177,0.00014504667,0.0000048026836,0.0014357512,0.000025749172,0.0000032544608,0.029286766,0.00052690896,0.0044508735],"study_design_scores_gemma":[0.003673787,0.00052439736,0.65656203,0.000111050686,0.00007546471,0.00003621584,0.0022892514,0.009872759,0.00023179885,0.033506256,0.2904565,0.0026604673],"about_ca_topic_score_codex":0.00022613883,"about_ca_topic_score_gemma":0.0029780949,"teacher_disagreement_score":0.30746177,"about_ca_system_score_codex":0.000072036455,"about_ca_system_score_gemma":0.000011100399,"threshold_uncertainty_score":0.6058376},"labels":[],"label_agreement":null},{"id":"W2112736194","doi":"10.2139/ssrn.910964","title":"Underpriced Default Spread Exacerbates Market Crashes","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Business; Financial system; Economics; Monetary economics","score_opus":0.009228692735974216,"score_gpt":0.18892232864969732,"score_spread":0.17969363591372312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112736194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5081062,0.0045966324,0.014518686,0.0012047774,0.00071991014,0.00013790619,0.000013868388,0.00009352282,0.47060853],"genre_scores_gemma":[0.98190093,0.005165699,0.00026493185,0.00010699431,0.0005965954,0.000005239539,0.000007844005,0.000056315745,0.011895457],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99665815,0.000027479637,0.00071982143,0.00034799406,0.000042670767,0.0022039134],"domain_scores_gemma":[0.9991103,0.00007629442,0.00044447216,0.00025524257,0.000030316542,0.000083411884],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021113206,0.00022844133,0.00039549856,0.0002495842,0.00027806583,0.00022271406,0.00035630452,0.00014233468,0.0005989207],"category_scores_gemma":[0.000068656234,0.0002604778,0.00020902292,0.00018904948,0.000056251243,0.00036686155,0.00004649157,0.0009581552,0.0006092389],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000090140784,0.00016706389,0.1442966,0.00001479612,0.00020400727,0.000007280617,0.000066285786,0.0003985696,0.000050493716,0.8385152,0.0066855275,0.00950403],"study_design_scores_gemma":[0.00073872716,0.00009479303,0.01656494,0.000009485547,0.000012961407,0.0001616473,0.00020537541,0.0012732036,0.000029242598,0.94292474,0.037588485,0.00039640683],"about_ca_topic_score_codex":0.00080882024,"about_ca_topic_score_gemma":0.0030010554,"teacher_disagreement_score":0.47379476,"about_ca_system_score_codex":0.0012056665,"about_ca_system_score_gemma":0.00034258352,"threshold_uncertainty_score":0.99998474},"labels":[],"label_agreement":null},{"id":"W2114071237","doi":"10.3386/w13236","title":"A Unified Framework for Measuring Preferences for Schools and Neighborhoods","year":2007,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":288,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; U.S. Department of Education; National Science Foundation","keywords":"Mathematics education; Geography; Computer science; Data science; Econometrics; Mathematics","score_opus":0.5583797750075566,"score_gpt":0.488643701325573,"score_spread":0.06973607368198365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114071237","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0067483587,0.003486722,0.0069751926,0.0007240846,0.0019716595,0.0026876286,0.0015779096,0.000040047365,0.9757884],"genre_scores_gemma":[0.9583422,0.007785103,0.024741402,0.000051510833,0.0032910584,0.0007730423,0.0007003112,0.00018955674,0.0041258475],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965902,0.000030754843,0.0015400917,0.0009337738,0.00021348133,0.00069171283],"domain_scores_gemma":[0.9946506,0.0028330886,0.00093057996,0.0003769757,0.0010306718,0.00017806875],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.014314052,0.00030542206,0.0010535064,0.0014459501,0.00026000704,0.0002340984,0.00055370294,0.00086204545,0.00017497623],"category_scores_gemma":[0.005796753,0.00038254188,0.00030638336,0.00015573014,0.00019125442,0.0002554102,0.00015114003,0.00072993874,0.000054138774],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019985106,0.000054869855,0.006943034,0.0006668072,0.0002848107,2.4578048e-7,0.00006241635,0.00008788285,0.0000025498575,0.9758105,0.010385297,0.005501683],"study_design_scores_gemma":[0.00059610704,0.00015173206,0.0008042554,0.00016715148,0.000011475845,0.0000032856524,0.000059057595,0.0012240139,0.00004985448,0.9401323,0.056446698,0.00035404245],"about_ca_topic_score_codex":0.00057213765,"about_ca_topic_score_gemma":0.0001496568,"teacher_disagreement_score":0.9716625,"about_ca_system_score_codex":0.0015564887,"about_ca_system_score_gemma":0.0016378624,"threshold_uncertainty_score":0.9998627},"labels":[],"label_agreement":null},{"id":"W2114269004","doi":"10.1111/j.1467-9671.2008.01109.x","title":"Agent‐Based Simulation of Urban Residential Dynamics and Land Rent Change in a Gentrifying Area of Boston","year":2008,"lang":"en","type":"article","venue":"Transactions in GIS","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Gentrification; Work (physics); Process (computing); Computer science; Dynamics (music); Macro; Economic geography; Agent-based model; Scale (ratio); Consumption (sociology); Architectural engineering; Sociology; Economics; Civil engineering; Geography; Artificial intelligence; Engineering; Social science; Cartography","score_opus":0.06645264750237628,"score_gpt":0.24648368819696595,"score_spread":0.18003104069458967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114269004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97607654,0.00024474683,0.022006884,0.000061799255,0.00012348565,0.00015329095,0.000067927336,0.0000070996,0.0012582516],"genre_scores_gemma":[0.9990272,0.00057886064,0.00029338116,0.000010205034,0.000012905777,0.000009596445,0.00001199042,0.000010458396,0.000045424746],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992212,0.000011544632,0.00047184128,0.00015789746,0.000019630803,0.00011785512],"domain_scores_gemma":[0.99963546,0.000050734532,0.00015761086,0.000122668,0.000010424685,0.00002307716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001998081,0.00007166327,0.00024641168,0.00043748677,0.000034276676,0.000005857873,0.000049394468,0.0000757425,0.00012072247],"category_scores_gemma":[0.0000107323,0.00009739815,0.000047957572,0.0002007568,0.000046861813,0.00013772656,0.0000033671104,0.000083325445,0.000001994196],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000118961776,0.00019086346,0.89953154,0.00009871779,0.000016383754,0.000004546269,0.0026192663,0.09272011,0.000015937727,0.0002599652,0.000003891515,0.0044197855],"study_design_scores_gemma":[0.0010947101,0.000039321007,0.22557662,0.000040046503,0.000006269647,0.0000013592474,0.000044042972,0.7725858,0.00008803557,0.00023751406,0.00016438999,0.00012190219],"about_ca_topic_score_codex":0.002172156,"about_ca_topic_score_gemma":0.0032712554,"teacher_disagreement_score":0.67986566,"about_ca_system_score_codex":0.00011293355,"about_ca_system_score_gemma":0.000013635386,"threshold_uncertainty_score":0.39717814},"labels":[],"label_agreement":null},{"id":"W2114467007","doi":"10.1080/00036840600970237","title":"The inflation-hedging properties of Turkish REITs","year":2008,"lang":"en","type":"article","venue":"Applied Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Real estate investment trust; Economics; Turkish; Hedge; Inflation (cosmology); Real estate; Monetary economics; Financial economics; Stock (firearms); Stock market; Econometrics; Finance","score_opus":0.03599922780966014,"score_gpt":0.171275781777954,"score_spread":0.13527655396829386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114467007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.801481,0.00036801182,0.0001299303,0.00021848785,0.00034907865,0.00018123165,0.000010488683,0.000036165933,0.19722557],"genre_scores_gemma":[0.99632317,0.002446989,0.00036005053,0.00013214163,0.00016576203,0.000032759028,0.0000059317504,0.00003862514,0.00049455604],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984551,0.000005538115,0.0008876372,0.00031734927,0.000014201582,0.00032015407],"domain_scores_gemma":[0.99884903,0.000072525196,0.000533196,0.00046244703,0.000020099325,0.00006270516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052633864,0.00016375977,0.00038617148,0.00010445186,0.0004078841,0.000062318984,0.00034420914,0.00010569424,0.00004596568],"category_scores_gemma":[0.000049694096,0.00016456207,0.00010742788,0.00009295107,0.00022934632,0.00019592469,0.0000936192,0.0001356561,0.00041378543],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013849503,0.000072955714,0.048254993,0.000053321768,0.00017442853,7.737856e-7,0.0023828668,0.0068593067,0.00023003857,0.92892444,0.0016149139,0.011293491],"study_design_scores_gemma":[0.0041307816,0.0001347046,0.07413183,0.000062294064,0.00003984744,0.00006675915,0.0013211137,0.033877548,0.016408773,0.2485628,0.6184272,0.0028363615],"about_ca_topic_score_codex":0.000059638274,"about_ca_topic_score_gemma":0.00003829976,"teacher_disagreement_score":0.6803616,"about_ca_system_score_codex":0.000106574844,"about_ca_system_score_gemma":0.000048088317,"threshold_uncertainty_score":0.6710647},"labels":[],"label_agreement":null},{"id":"W2114531777","doi":"10.3968/j.mse.1913035x20100403.005","title":"Ripple Effect of Housing Prices Fluctuations among Nine Cities of China","year":2010,"lang":"en","type":"article","venue":"International Conference on Management Science and Engineering","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Beijing; Cointegration; Variance decomposition of forecast errors; Error correction model; China; Ripple; Vector autoregression; Econometrics; Economics; Quarter (Canadian coin); Government (linguistics); Geography; Engineering","score_opus":0.01319575623751915,"score_gpt":0.21507594962828228,"score_spread":0.20188019339076313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114531777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8674255,0.000006135452,0.0019139557,0.000078481666,0.00048063011,0.0000722851,0.000008165393,0.000013616735,0.13000126],"genre_scores_gemma":[0.99867874,0.0000833137,0.0010799365,0.0000059064214,0.000027303571,0.000006372824,0.000002347258,0.0000053775916,0.000110696834],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99938846,0.0000013956123,0.00024141792,0.0001808328,0.000071389906,0.000116502444],"domain_scores_gemma":[0.9996498,0.000024285639,0.00013847023,0.00012089395,0.00003501158,0.000031509546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006697635,0.000077555414,0.00014657706,0.00042758737,0.00005039865,0.00007450113,0.00025698586,0.000021948425,0.00016837854],"category_scores_gemma":[0.00009308249,0.00008249971,0.000025378398,0.00015965979,0.00015158352,0.00032208615,0.00007878169,0.00007447529,0.0000065351937],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014243505,0.000024917834,0.0622556,0.00010924638,0.000042335152,9.610205e-7,0.0002856451,0.0033603192,0.00484556,0.92111975,0.000025570354,0.00791587],"study_design_scores_gemma":[0.00064361043,0.00015339105,0.5044846,0.00013581998,0.000013374794,0.0000014066014,0.00013356587,0.48004237,0.005915839,0.0065122447,0.0016194234,0.00034437876],"about_ca_topic_score_codex":0.000061286904,"about_ca_topic_score_gemma":0.000007981144,"teacher_disagreement_score":0.91460747,"about_ca_system_score_codex":0.000023237639,"about_ca_system_score_gemma":0.000006630251,"threshold_uncertainty_score":0.33642405},"labels":[],"label_agreement":null},{"id":"W2114828690","doi":"10.5539/mas.v8n6p70","title":"Affordable Housing Performance Indicators for Landed Houses in the Central Region of Malaysia","year":2014,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Affordable housing; Business; Quality (philosophy); Field survey; Agricultural economics; Socioeconomics; Economic growth; Geography; Economics","score_opus":0.025442917664097228,"score_gpt":0.2006662809970452,"score_spread":0.17522336333294797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114828690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91714793,0.000016372498,0.049850933,0.00008386555,0.000110654735,0.00023396272,0.0000035098594,0.000016413023,0.03253634],"genre_scores_gemma":[0.99870604,0.000040353734,0.0010190834,0.00013200381,0.000044628883,0.000027287928,0.000001626103,0.00001276749,0.000016221426],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998882,0.0000052442138,0.00034002028,0.0003160625,0.000046880537,0.00040977093],"domain_scores_gemma":[0.9993435,0.000057380337,0.00023988249,0.0003085408,0.000009090562,0.00004157011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014512491,0.00009615055,0.00022531883,0.00027729452,0.00015648076,0.00007897206,0.0005241254,0.000046880472,0.000005338796],"category_scores_gemma":[0.00004136024,0.00008775054,0.0000397659,0.00041631324,0.00023354818,0.00019617268,0.000046177156,0.00007632815,0.000008934885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023467695,0.00031347884,0.5817517,0.00025251665,0.000015729122,8.6904157e-7,0.014143796,0.021789817,0.0024936046,0.28801405,0.00023059412,0.09075914],"study_design_scores_gemma":[0.0010288558,0.00008447426,0.08148074,0.00002344716,0.0000050204726,0.0000032676253,0.00022504036,0.8663609,0.0018798119,0.044413563,0.004119488,0.00037538787],"about_ca_topic_score_codex":0.0000380511,"about_ca_topic_score_gemma":0.000017984044,"teacher_disagreement_score":0.8445711,"about_ca_system_score_codex":0.000074814256,"about_ca_system_score_gemma":0.000037372494,"threshold_uncertainty_score":0.3578363},"labels":[],"label_agreement":null},{"id":"W2114923623","doi":"10.7202/007254ar","title":"Déterminants du prix réel des logements au Canada","year":2004,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université de Moncton; Université de Sherbrooke","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.033311481169023195,"score_gpt":0.20913949376680124,"score_spread":0.17582801259777806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114923623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8869519,0.0012792875,0.0011551259,0.005596407,0.0070054857,0.00041118916,0.00054699054,0.000048768947,0.09700479],"genre_scores_gemma":[0.9794855,0.0043515135,0.0019066994,0.002425659,0.0013947873,0.000049753824,0.00006615455,0.00013195431,0.010187946],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9959925,0.00005823089,0.0015437957,0.0009879643,0.000032227403,0.0013853112],"domain_scores_gemma":[0.99774295,0.0001928762,0.0007933291,0.0007869162,0.00005898978,0.0004249219],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009852028,0.0005938623,0.0010656748,0.00022210467,0.0004613907,0.00027486734,0.0006886516,0.00044833214,0.0012886784],"category_scores_gemma":[0.0003503811,0.0008577031,0.00027468856,0.00020354263,0.00039201506,0.00086626183,0.0002702446,0.00038067414,0.0010640061],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015741431,0.000819203,0.42095393,0.00086631184,0.0006695942,0.00024653756,0.0060102334,0.005321948,0.000011974632,0.46074083,0.007817308,0.0963847],"study_design_scores_gemma":[0.002817151,0.0001728766,0.069865875,0.000344507,0.000050876763,0.00009265876,0.00039513392,0.0010096811,0.00045706014,0.09493957,0.8282221,0.0016325453],"about_ca_topic_score_codex":0.84615296,"about_ca_topic_score_gemma":0.9063265,"teacher_disagreement_score":0.82040477,"about_ca_system_score_codex":0.0065740906,"about_ca_system_score_gemma":0.0019378113,"threshold_uncertainty_score":0.9997138},"labels":[],"label_agreement":null},{"id":"W2115193637","doi":"10.1108/10222529200400016","title":"Value‐added tax on new residential properties: A comparative study to establish possible alternatives regarding developers registered for VAT purposes","year":2004,"lang":"en","type":"article","venue":"Meditari Accountancy Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Value-added tax; Value (mathematics); Public economics; Agricultural economics; Economics; Computer science","score_opus":0.2676417101563925,"score_gpt":0.3749546393364551,"score_spread":0.10731292918006263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115193637","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9472873,0.00035673834,0.0013832543,0.0031568839,0.0016849516,0.003500157,0.00009391532,0.00008292248,0.042453844],"genre_scores_gemma":[0.9903012,0.00010999441,0.0026403842,0.00019287829,0.001124959,0.0003966391,0.000020945381,0.000083105806,0.0051299315],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9963549,0.00009774303,0.0009782983,0.0011729788,0.00032402066,0.0010720919],"domain_scores_gemma":[0.9979846,0.00028980972,0.0002691604,0.000776916,0.00033816393,0.00034136686],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0036793817,0.000347896,0.0008211706,0.0010928934,0.0007142811,0.00094764726,0.0010456708,0.0001214857,0.0001505521],"category_scores_gemma":[0.0018645816,0.00035769548,0.00013960614,0.0008566172,0.00017796498,0.0009882981,0.00030316788,0.00052491785,0.0006081541],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.017636703,0.007171308,0.08604353,0.0009078819,0.0026902955,0.00029981945,0.33460063,0.01494906,0.0011887085,0.18529075,0.33849102,0.010730303],"study_design_scores_gemma":[0.051317353,0.018340541,0.06295471,0.0034218354,0.0001465182,0.000052936277,0.13801406,0.0042020776,0.018970871,0.38860434,0.30621654,0.0077582123],"about_ca_topic_score_codex":0.0061266823,"about_ca_topic_score_gemma":0.0061110645,"teacher_disagreement_score":0.20331357,"about_ca_system_score_codex":0.0013008084,"about_ca_system_score_gemma":0.0005716369,"threshold_uncertainty_score":0.9998875},"labels":[],"label_agreement":null},{"id":"W2116735289","doi":"10.5430/rwe.v6n1p133","title":"The Trend of Average Unit Price in Taipei City","year":2015,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; Statistic; Volatility (finance); Purchasing; Economics; Key (lock); Unit (ring theory); Econometrics; Business; Finance; Computer science; Statistics; Operations management; Mathematics","score_opus":0.21375221016185647,"score_gpt":0.3358184548020518,"score_spread":0.12206624464019533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116735289","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36001924,0.0004987118,0.000015856833,0.0012742706,0.00015455796,0.00022063564,0.000012723149,0.000008382952,0.6377956],"genre_scores_gemma":[0.99531895,0.00040933982,0.00010786726,0.000038527585,0.00008841565,0.00005002812,0.0000053923513,0.000021235854,0.003960216],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99787307,0.00010944073,0.00089116005,0.00037828772,0.000044822646,0.00070320023],"domain_scores_gemma":[0.9984811,0.00058210024,0.00019903384,0.0005306698,0.000039977742,0.00016710137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008128414,0.00012672173,0.00040393427,0.0011019015,0.000096824755,0.00013350716,0.000584545,0.000074432304,0.00023946006],"category_scores_gemma":[0.0002773085,0.00013373292,0.00006708613,0.0010658872,0.00022299931,0.00033656333,0.0002168612,0.0005211564,0.00032279032],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012253299,0.00016897044,0.7839507,0.000040237614,0.000023578566,0.000012984846,0.00078465004,0.00093460636,0.0000012022663,0.20525861,0.0026196667,0.006082242],"study_design_scores_gemma":[0.0013912701,0.00005981487,0.05106988,0.00003667337,5.8618133e-7,0.0000016247969,0.00037413128,0.0076246005,0.000037107835,0.2296512,0.7094887,0.00026441488],"about_ca_topic_score_codex":0.001291232,"about_ca_topic_score_gemma":0.011808153,"teacher_disagreement_score":0.73288083,"about_ca_system_score_codex":0.00050607254,"about_ca_system_score_gemma":0.00013666665,"threshold_uncertainty_score":0.6589227},"labels":[],"label_agreement":null},{"id":"W2117009516","doi":"10.1111/j.1541-0064.2007.00170.x","title":"Understanding change in cities: a personal research path","year":2007,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Argument (complex analysis); Sociology; Style (visual arts); Corporate governance; Political science; Management science; Regional science; Geography; Management; Economics","score_opus":0.1189352572203158,"score_gpt":0.2484300354790569,"score_spread":0.12949477825874112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117009516","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8765794,0.0026573166,0.000037284044,0.0012848275,0.0011149955,0.00048236805,0.00027008672,0.0000658525,0.117507875],"genre_scores_gemma":[0.9958534,0.0028519968,0.000092631155,0.0005424431,0.0003147674,0.00006837331,0.000044224817,0.00007092478,0.00016118544],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959153,0.000040666127,0.00076577795,0.0007649921,0.000092393435,0.0024208587],"domain_scores_gemma":[0.9980327,0.0002520906,0.0001579141,0.00042164902,0.00007043325,0.0010651996],"candidate_categories":["metaepi_narrow","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0033839142,0.00033626403,0.0005426171,0.013585486,0.00074387353,0.00022830322,0.0004852149,0.0003012595,0.00036023578],"category_scores_gemma":[0.00016385871,0.00045297766,0.00024552748,0.0059831757,0.0011605073,0.0004754493,0.0000592646,0.00055960065,0.000062963234],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025156558,0.000019626032,0.7579875,0.000044784407,0.00004973314,0.0001775717,0.008039779,0.0000016912059,7.5051736e-7,0.22944602,0.0023079074,0.0018994824],"study_design_scores_gemma":[0.0011883057,0.00024619198,0.6154933,0.00019700415,0.000011076097,0.000056712062,0.06565653,0.00046749253,0.0000026530543,0.13138181,0.18361004,0.001688882],"about_ca_topic_score_codex":0.7998344,"about_ca_topic_score_gemma":0.99575764,"teacher_disagreement_score":0.19592324,"about_ca_system_score_codex":0.0011835981,"about_ca_system_score_gemma":0.00012812059,"threshold_uncertainty_score":0.9997922},"labels":[],"label_agreement":null},{"id":"W211701539","doi":"","title":"Housing Wealth Effect on Personal Consumption : Empirical Evidence from European Post-Transition Economies","year":2014,"lang":"en","type":"article","venue":"Czech Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Consumption (sociology); Quarter (Canadian coin); Panel data; Estimation; Sample (material); Transition countries; Personal income; Czech; Order (exchange); Permanent income hypothesis; Demographic economics; Economy; Monetary economics; Econometrics; Macroeconomics; Market liquidity; Geography; International economics; Finance","score_opus":0.04849431411629687,"score_gpt":0.24073173460583375,"score_spread":0.19223742048953688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W211701539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99199885,0.001334946,0.0015363658,0.0013265897,0.0008588451,0.0001125126,0.00007133133,0.00001355732,0.0027469809],"genre_scores_gemma":[0.9846091,0.013001039,0.0008964921,0.0007865646,0.0006295925,0.0000020493464,0.000008398202,0.000044013814,0.00002271298],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99800026,0.00010505628,0.0010899669,0.0004611774,0.000022159396,0.00032136342],"domain_scores_gemma":[0.9979414,0.0004901887,0.0011520672,0.00024242928,0.0000471501,0.00012679749],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0023043654,0.0002714418,0.0007610377,0.00026142524,0.00020896649,0.00022716055,0.00024742866,0.00012882169,0.00006115462],"category_scores_gemma":[0.00020899336,0.00030305955,0.00022263764,0.000047652276,0.00013695913,0.00066947454,0.00004852977,0.00035433014,0.00021365607],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0042463113,0.0005557717,0.45496672,0.00040165626,0.00061985815,0.00007190959,0.009591692,0.018572442,0.0003873865,0.052174527,0.002026294,0.45638543],"study_design_scores_gemma":[0.009855302,0.007758973,0.5916973,0.0018644477,0.00018861142,0.00030426093,0.00031516337,0.2178249,0.0011272357,0.05267746,0.11317153,0.003214808],"about_ca_topic_score_codex":0.00005923648,"about_ca_topic_score_gemma":0.00004072941,"teacher_disagreement_score":0.4531706,"about_ca_system_score_codex":0.00021259353,"about_ca_system_score_gemma":0.000042946976,"threshold_uncertainty_score":0.9999421},"labels":[],"label_agreement":null},{"id":"W2117255742","doi":"10.1111/1540-6229.12084","title":"Macroeconomic Risk Factors and the Role of Mispriced Credit in the Returns from International Real Estate Securities","year":2015,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Real estate; Commercial mortgage-backed security; Real estate investment trust; Economics; Capitalization rate; Currency; Monetary economics; Financial economics; Business; Financial system; Finance","score_opus":0.0168726342642905,"score_gpt":0.20341085837257075,"score_spread":0.18653822410828025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117255742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73680586,0.000052695992,0.000005195598,0.00027288537,0.0005541424,0.00019995743,0.0008344007,0.000016779519,0.2612581],"genre_scores_gemma":[0.8838926,0.115482695,0.00017978635,0.000038834594,0.00020070281,0.00001980113,0.00011332356,0.000036836016,0.00003540089],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99797606,0.000086618464,0.0010981212,0.00046088322,0.000029640007,0.00034865923],"domain_scores_gemma":[0.99786335,0.00060302275,0.00091499096,0.00047769182,0.000028534798,0.000112436945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016752118,0.0002705106,0.0006527949,0.00019060117,0.00009588934,0.00022800827,0.0006502031,0.00013631099,0.000061284874],"category_scores_gemma":[0.00013501121,0.00022532843,0.00015378256,0.00007195153,0.0003534677,0.00044164248,0.00016002776,0.00030507587,0.000052492785],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009094859,0.00013443279,0.84625834,0.000020243373,0.000363531,0.0000056752633,0.06505254,0.004883382,0.0000025452675,0.035015896,0.00046924132,0.046884686],"study_design_scores_gemma":[0.010578621,0.00021332702,0.27865794,0.00003452049,0.00009659709,0.000020637743,0.048011865,0.23857608,0.00012731028,0.20269254,0.21954203,0.0014485266],"about_ca_topic_score_codex":0.06287413,"about_ca_topic_score_gemma":0.010150501,"teacher_disagreement_score":0.5676004,"about_ca_system_score_codex":0.00027203604,"about_ca_system_score_gemma":0.000076015305,"threshold_uncertainty_score":0.9433663},"labels":[],"label_agreement":null},{"id":"W2117596946","doi":"","title":"Homeownership Gaps Among Low-Income and Minority Households","year":2007,"lang":"en","type":"article","venue":"Syracuse University Libraries (Syracuse University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Harvard University; U.S. Department of Housing and Urban Development","keywords":"Quarter (Canadian coin); Demographic economics; Socioeconomic status; Population; White (mutation); Ethnic group; Percentage point; Economics; Geography; Labour economics; Demography; Political science; Sociology; Finance","score_opus":0.014453111041670517,"score_gpt":0.1518051316145181,"score_spread":0.1373520205728476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117596946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78551704,0.00012485195,0.0013173631,0.0002142408,0.0003815145,0.00022124212,0.00015513295,0.00032756082,0.21174107],"genre_scores_gemma":[0.97976846,0.0007471633,0.0015089818,0.00008973815,0.00015916026,9.564763e-8,0.000038655722,0.00005356083,0.017634192],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99755245,0.00006141013,0.0004545568,0.00095392804,0.00008436127,0.00089326454],"domain_scores_gemma":[0.9979168,0.00026887815,0.00047483042,0.0006964523,0.000058630234,0.0005843787],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006645092,0.00044973238,0.00071861333,0.0013574733,0.0007791166,0.00025973495,0.00085114955,0.00047072492,0.0003437636],"category_scores_gemma":[0.00008681141,0.00063267,0.00025689893,0.0011328137,0.0008258823,0.0034630734,0.00065514504,0.0005089231,0.00022849442],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045887672,0.00015341637,0.61422,0.00010388189,0.00017381497,0.0007001281,0.0015349982,0.000024492887,0.000015672742,0.38116342,0.00077893294,0.0006723664],"study_design_scores_gemma":[0.0050940323,0.00023767966,0.439895,0.000117599055,0.00016595417,0.000032957447,0.007888348,0.0005598113,0.00032891773,0.009096704,0.53409034,0.0024926786],"about_ca_topic_score_codex":0.00084515486,"about_ca_topic_score_gemma":0.0006583774,"teacher_disagreement_score":0.53331137,"about_ca_system_score_codex":0.00047577708,"about_ca_system_score_gemma":0.00009528585,"threshold_uncertainty_score":0.99961245},"labels":[],"label_agreement":null},{"id":"W2118592544","doi":"10.1068/b120043p","title":"A Review of Urban Residential Choice Models Using Agent-Based Modeling","year":2013,"lang":"en","type":"review","venue":"Environment and Planning B Planning and Design","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":126,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Agent-based model; Computer science; Bidding; Land use; Urbanization; Relocation; Robustness (evolution); Process (computing); Management science; Operations research; Data science; Artificial intelligence; Economics; Engineering; Microeconomics","score_opus":0.20406023102132265,"score_gpt":0.2846843269348696,"score_spread":0.08062409591354697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118592544","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000086018794,0.8885296,0.10963921,0.0000064915457,0.0001577459,0.0005965911,0.000054249613,0.000027052938,0.0009030179],"genre_scores_gemma":[0.00023895796,0.9905509,0.00862695,0.00008963769,0.00018033171,0.000044758715,0.000100423094,0.00008402405,0.00008404629],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973249,0.000113412774,0.0013368949,0.0007432616,0.00006363737,0.00041789567],"domain_scores_gemma":[0.99813133,0.00031938514,0.0010076438,0.00036873802,0.000008359362,0.00016455803],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011943141,0.0005504392,0.0021290714,0.00036272855,0.00020164145,0.00012455574,0.00021625451,0.0003425289,0.00007962538],"category_scores_gemma":[0.00007365926,0.0005697634,0.00024547806,0.00009598881,0.000083522296,0.000253308,0.0001071645,0.0003559662,0.000024779556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011379395,0.00027437322,0.00402877,0.26857787,0.0015321479,0.000096119664,0.0016773081,0.43920988,0.0000026784858,0.0013053912,0.016002325,0.26717934],"study_design_scores_gemma":[0.00037849747,0.0000762457,0.0000036911329,0.0738522,0.00045057343,0.000018983055,0.000022691578,0.63347,4.1668252e-7,0.00065321557,0.2900988,0.0009746776],"about_ca_topic_score_codex":0.00012671466,"about_ca_topic_score_gemma":7.8666545e-8,"teacher_disagreement_score":0.27409646,"about_ca_system_score_codex":0.00009532473,"about_ca_system_score_gemma":0.000062012936,"threshold_uncertainty_score":0.9996754},"labels":[],"label_agreement":null},{"id":"W2118821876","doi":"10.2139/ssrn.1663970","title":"Incomes of Retirement-Age and Working-Age Canadians: Accounting for Home Ownership","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":118,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Demographic economics; Business; Retirement age; Labour economics; Accounting; Economics; Finance; Pension","score_opus":0.019632887610212185,"score_gpt":0.20949851391002275,"score_spread":0.18986562629981057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118821876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9852793,0.0008660433,0.001334233,0.0005930655,0.0006911574,0.00014636233,0.000014009502,0.000013512842,0.011062312],"genre_scores_gemma":[0.9971297,0.0012812811,0.00047231777,0.00008352317,0.00035678153,0.0000055858563,0.0000048880424,0.000033695298,0.0006322389],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979214,0.000008444514,0.00052779587,0.00022482588,0.00002576295,0.0012917502],"domain_scores_gemma":[0.9991965,0.00007326192,0.00044560284,0.00016953704,0.000022966638,0.000092130205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025540022,0.00013629845,0.0003527848,0.0002589437,0.00018797193,0.00012013398,0.00024811891,0.00011883202,0.00004051077],"category_scores_gemma":[0.0001465406,0.00015234797,0.0001095003,0.000103972605,0.000073839365,0.00018820769,0.000030958985,0.0008728352,0.000009726702],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061158215,0.000035109326,0.25323778,0.00004110822,0.00016885555,0.000004967778,0.000423084,0.000011198828,0.00023280883,0.7144658,0.000115113304,0.03120304],"study_design_scores_gemma":[0.0014876839,0.00019374143,0.016225299,0.000030417257,0.000026318354,0.00006490046,0.0008014617,0.000991281,0.00003192206,0.93790627,0.04175053,0.00049015105],"about_ca_topic_score_codex":0.0011632692,"about_ca_topic_score_gemma":0.042891975,"teacher_disagreement_score":0.23701248,"about_ca_system_score_codex":0.0003160828,"about_ca_system_score_gemma":0.0003034779,"threshold_uncertainty_score":0.9745728},"labels":[],"label_agreement":null},{"id":"W2119194442","doi":"10.1177/0042098013492234","title":"Spatial Heterogeneity in Hedonic House Price Models: The Case of Austria","year":2013,"lang":"en","type":"article","venue":"Urban Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":187,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Econometrics; Hedonic pricing; House price; Real estate; Economics; Geographically Weighted Regression; Hedonic regression; Mathematics; Statistics; Finance","score_opus":0.08726954984331949,"score_gpt":0.24699093600059496,"score_spread":0.1597213861572755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119194442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98590285,0.0043324768,0.00022183686,0.00029992237,0.00029187402,0.0002639507,0.000018706209,0.000026860298,0.0086415475],"genre_scores_gemma":[0.99837315,0.0011487007,0.000121943965,0.00006867208,0.000082204744,0.00004562463,6.6148647e-7,0.000021615278,0.0001374116],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988787,0.000021485517,0.000560316,0.0002481767,0.000013345865,0.00027795072],"domain_scores_gemma":[0.99923086,0.00012603983,0.0002539811,0.00032510437,0.00003247182,0.00003153745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005117274,0.0001315948,0.00041984068,0.00011117671,0.00010340574,0.000033935026,0.00015951463,0.000056479752,0.0000501994],"category_scores_gemma":[0.000104453655,0.00011479775,0.00008651138,0.00013315394,0.00011953235,0.00019873273,0.00015085936,0.00010874033,0.00015632829],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001274226,0.0006887221,0.78840274,0.0003687051,0.0012992385,0.00018097146,0.024838168,0.008414836,0.000023410943,0.114905015,0.033757333,0.026993437],"study_design_scores_gemma":[0.008818638,0.00077888765,0.15741344,0.00021963954,0.0001425989,0.0003208774,0.01398954,0.3156407,0.00066592963,0.46664697,0.031878956,0.0034838426],"about_ca_topic_score_codex":0.004051003,"about_ca_topic_score_gemma":0.002465532,"teacher_disagreement_score":0.6309893,"about_ca_system_score_codex":0.000108793254,"about_ca_system_score_gemma":0.000011521355,"threshold_uncertainty_score":0.61239326},"labels":[],"label_agreement":null},{"id":"W2119290430","doi":"10.1111/1540-6261.00498","title":"Empirical Evaluation of Asset‐Pricing Models: A Comparison of the SDF and Beta Methods","year":2002,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":141,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Generality; Capital asset pricing model; Stochastic discount factor; BETA (programming language); Econometrics; Computer science; Asset (computer security); Specification; Economics","score_opus":0.27775758724211463,"score_gpt":0.37094902580359435,"score_spread":0.09319143856147971,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119290430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9717111,0.00715121,0.009265054,0.0008917113,0.00025130395,0.00009188269,0.0000055264354,0.000001492651,0.010630704],"genre_scores_gemma":[0.9943586,0.0014385248,0.0040648924,0.000041940253,0.000042081705,6.7915994e-7,8.879188e-8,0.000008331002,0.000044851182],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99868953,0.00015620072,0.0008860782,0.000083788684,0.00007020064,0.00011420877],"domain_scores_gemma":[0.99786115,0.00024880172,0.0015225222,0.00024237008,0.000105964034,0.00001919026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051596803,0.0000792071,0.00044002858,0.000083848805,0.000073183684,0.000013125592,0.00028912825,0.000054825745,0.000040154995],"category_scores_gemma":[0.00022132616,0.00005596688,0.00010447464,0.00017204482,0.00010050961,0.00017934883,0.00005586779,0.00019230564,0.0000023138307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023847856,0.0007168956,0.3401733,0.0001767459,0.00037670654,7.216061e-7,0.027852517,0.26347888,0.00063325884,0.025506392,0.007475964,0.33337015],"study_design_scores_gemma":[0.00067517365,0.000112225935,0.0583984,0.00007671997,0.00008639331,0.000017136788,0.00019534978,0.89915293,0.00085885526,0.03815971,0.0021551251,0.00011199761],"about_ca_topic_score_codex":0.000026249449,"about_ca_topic_score_gemma":0.000008696285,"teacher_disagreement_score":0.63567406,"about_ca_system_score_codex":0.000058838345,"about_ca_system_score_gemma":0.000022500848,"threshold_uncertainty_score":0.22822632},"labels":[],"label_agreement":null},{"id":"W2119771850","doi":"10.7202/602025ar","title":"Une comparaison des taux d’imposition implicites des services du logement locatif et du logement occupé par son propriétaire","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Political science; Humanities; Economics; Art","score_opus":0.03614716341514843,"score_gpt":0.24214494308891205,"score_spread":0.20599777967376362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119771850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95064306,0.0028814015,0.004469401,0.01995303,0.0011105071,0.0010674705,0.00028508584,0.00017165954,0.019418357],"genre_scores_gemma":[0.978153,0.009599745,0.0042038853,0.0061702793,0.0007322416,0.00011074926,0.00034022794,0.000105520325,0.00058434164],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99521136,0.00017069664,0.0020302348,0.0012693227,0.00004941053,0.0012689525],"domain_scores_gemma":[0.9971529,0.00023397572,0.0012242643,0.0008759124,0.00014784725,0.00036508762],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018161775,0.0008516441,0.0013782918,0.0003812947,0.00075399294,0.00083806517,0.00073142676,0.0005460928,0.0006530345],"category_scores_gemma":[0.0000742616,0.0010922283,0.00042341795,0.00037433364,0.00053009763,0.0015388504,0.00022589682,0.00043041114,0.0009819614],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006192916,0.0026701835,0.3728003,0.0017789144,0.0007561393,0.000042748492,0.019514903,0.0073994277,0.0004218229,0.2772541,0.0044268756,0.3123153],"study_design_scores_gemma":[0.0038968124,0.0017887919,0.50605786,0.0010474587,0.00022087772,0.000105015795,0.002154268,0.03495997,0.0035308881,0.20001386,0.24319734,0.0030268456],"about_ca_topic_score_codex":0.010213825,"about_ca_topic_score_gemma":0.006060127,"teacher_disagreement_score":0.30928844,"about_ca_system_score_codex":0.0015038997,"about_ca_system_score_gemma":0.00013132663,"threshold_uncertainty_score":0.9997959},"labels":[],"label_agreement":null},{"id":"W2120587049","doi":"10.1111/j.1936-4490.2002.tb00282.x","title":"Les déterminants de la valeur marchande des propriétés résidentielles unifamiliales de I‘île de Montréal: Évaluation de masse conjuguée aux SIG","year":2002,"lang":"fr","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université du Québec; Université du Québec à Montréal; Université de Montréal","funders":"","keywords":"Valuation (finance); Humanities; Welfare economics; Economics; Mathematics; Economy; Philosophy; Finance","score_opus":0.19141036382782473,"score_gpt":0.3294945611429324,"score_spread":0.13808419731510768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120587049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9655574,0.007198367,0.004313822,0.0027879179,0.0008378303,0.00027290895,0.0002163147,0.000013222857,0.018802198],"genre_scores_gemma":[0.96623117,0.0039303754,0.026860725,0.0001774031,0.00038554624,0.000015353331,0.00000592874,0.000033476994,0.002360038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9950925,0.00072946,0.00133136,0.0006830002,0.00013546812,0.0020282092],"domain_scores_gemma":[0.99563074,0.0006455291,0.0012651113,0.0002617827,0.00030087522,0.0018959395],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.011317269,0.00042825966,0.0006355436,0.0009623509,0.0027380933,0.0015814645,0.0012110127,0.00037076438,0.0005777691],"category_scores_gemma":[0.0031167455,0.00052783464,0.00026653844,0.0010954778,0.008928537,0.0016143483,0.000035945686,0.0005664335,0.000017529706],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000099009485,0.00029390547,0.80440724,0.00048516996,0.00013610172,0.0024065173,0.064673945,0.010962325,0.00081464136,0.06428829,0.0015125491,0.04992029],"study_design_scores_gemma":[0.0018463774,0.008864909,0.3153962,0.002136804,0.00030382615,0.017476467,0.0521963,0.29731748,0.0036831403,0.27737457,0.021092784,0.0023111422],"about_ca_topic_score_codex":0.08433313,"about_ca_topic_score_gemma":0.7059509,"teacher_disagreement_score":0.6216178,"about_ca_system_score_codex":0.005382129,"about_ca_system_score_gemma":0.011479198,"threshold_uncertainty_score":0.9997173},"labels":[],"label_agreement":null},{"id":"W2120680933","doi":"10.2139/ssrn.1033523","title":"Tenancy Default, Excess Demand and the Rental Market","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bureau de Coopération Interuniversitaire; McMaster University","funders":"","keywords":"Leasehold estate; Renting; Business; Economics; Commerce","score_opus":0.007643134883566339,"score_gpt":0.19718986256221738,"score_spread":0.18954672767865105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120680933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69876236,0.017314997,0.030424,0.00176031,0.0008598829,0.0002286622,0.0000076334145,0.000034683926,0.25060746],"genre_scores_gemma":[0.9785283,0.018008782,0.000098547025,0.00016898706,0.00036881006,0.0000024207716,0.0000013178012,0.000026249249,0.0027965875],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975288,0.000027739125,0.00057168014,0.00023162748,0.000032805616,0.0016073716],"domain_scores_gemma":[0.99925005,0.00012638986,0.00034055917,0.00017669801,0.000017090397,0.000089188645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008305147,0.00014949143,0.00030978298,0.0001417164,0.00035357295,0.00014574786,0.000257866,0.00008717515,0.000115347175],"category_scores_gemma":[0.00010904926,0.000119529745,0.00012379757,0.00011646822,0.00014575585,0.00023669272,0.000056304358,0.00092423917,0.00006155021],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005303731,0.000053609292,0.08491301,0.000009776115,0.00017209617,0.000007239896,0.0004321968,0.000008318894,0.0000033094743,0.86959535,0.00069303357,0.043581676],"study_design_scores_gemma":[0.00325558,0.00008760752,0.02045628,0.000013223993,0.000018685469,0.0007189807,0.00087803724,0.000948438,0.000007652683,0.94635093,0.02695785,0.00030675635],"about_ca_topic_score_codex":0.00012207829,"about_ca_topic_score_gemma":0.0010524989,"teacher_disagreement_score":0.2797659,"about_ca_system_score_codex":0.0004087164,"about_ca_system_score_gemma":0.00013310564,"threshold_uncertainty_score":0.48742816},"labels":[],"label_agreement":null},{"id":"W2120780203","doi":"10.1016/j.jhe.2006.09.003","title":"Real estate portfolio allocation: The European consumers’ perspective","year":2006,"lang":"en","type":"article","venue":"Journal of Housing Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Portfolio; Investment (military); Futures contract; Consumption (sociology); Economics; Quarter (Canadian coin); Perspective (graphical); Business; Financial economics; Finance","score_opus":0.02002189149294338,"score_gpt":0.21137907111013293,"score_spread":0.19135717961718957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120780203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52982426,0.00015145139,0.0006495661,0.0011792248,0.0008943131,0.00007271175,0.000021958002,0.00001848127,0.467188],"genre_scores_gemma":[0.9923198,0.0044912347,0.0016970582,0.00013241402,0.0009342364,9.584413e-7,0.00000492104,0.00006728027,0.00035205885],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980504,0.000057156205,0.001301501,0.00025192802,0.000026768197,0.00031222808],"domain_scores_gemma":[0.9976223,0.00009684004,0.0017433993,0.00033286438,0.00012007523,0.00008448715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021439376,0.00019770859,0.00047295133,0.0002642204,0.00022639177,0.0002695901,0.00041425513,0.000067773486,0.00010582185],"category_scores_gemma":[0.000057455592,0.00019260697,0.0002675217,0.00011937092,0.00016163854,0.00045580245,0.0000619828,0.0002829209,0.00017929607],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041493657,0.0008126189,0.23110093,0.000068279944,0.001123499,0.00025249203,0.006143859,0.04868962,0.0001951235,0.61428213,0.031908303,0.0650082],"study_design_scores_gemma":[0.006048615,0.0005139285,0.19089575,0.00010836039,0.00024684388,0.0010760482,0.005839357,0.011405396,0.0004969158,0.30638993,0.47450826,0.0024705967],"about_ca_topic_score_codex":0.0013206952,"about_ca_topic_score_gemma":0.00035534537,"teacher_disagreement_score":0.46683595,"about_ca_system_score_codex":0.000536475,"about_ca_system_score_gemma":0.00010811747,"threshold_uncertainty_score":0.7854284},"labels":[],"label_agreement":null},{"id":"W2122292215","doi":"10.1068/a3610","title":"Gentrification, Segregation, and Discrimination in the American Urban System","year":2004,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":212,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Gentrification; Boom; Ethnic group; Economic geography; Capital (architecture); Investment (military); Geography; Racism; Demographic economics; Economics; Political science; Economic growth; Sociology; Gender studies","score_opus":0.015213205681895055,"score_gpt":0.182744778175343,"score_spread":0.16753157249344794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122292215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98486185,0.0013111475,0.0012646932,0.0017982087,0.000035502606,0.00014626597,0.0000076197316,0.000011340687,0.010563367],"genre_scores_gemma":[0.99850583,0.0008261836,0.00038456544,0.00013527337,0.000047681307,0.000018126892,0.000013135935,0.0000076022475,0.000061604485],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993504,0.000015426604,0.00022807244,0.0002598024,0.000011046848,0.00013523587],"domain_scores_gemma":[0.99961346,0.000046711422,0.00018049887,0.00011547465,0.0000015467693,0.000042302367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043806017,0.0001016777,0.0001818782,0.00009221556,0.00014738324,0.000113036294,0.000052192194,0.000032963348,0.0000049225555],"category_scores_gemma":[0.000009591524,0.00010014771,0.000014696868,0.000041213178,0.00010041288,0.00017570917,0.000019305839,0.0000772339,0.000015551233],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020828775,0.00003027143,0.722569,0.000052636125,0.000017713546,0.0000035810954,0.01155112,0.00070054585,0.0000036247013,0.26267678,0.00012864554,0.00224528],"study_design_scores_gemma":[0.001023585,0.000091289425,0.92409945,0.00005140269,0.000014290473,0.000029203165,0.010492032,0.004746155,0.000012928134,0.017958451,0.041091718,0.0003895159],"about_ca_topic_score_codex":0.00016970876,"about_ca_topic_score_gemma":0.000014011799,"teacher_disagreement_score":0.24471831,"about_ca_system_score_codex":0.00006396719,"about_ca_system_score_gemma":0.0000037867337,"threshold_uncertainty_score":0.4083905},"labels":[],"label_agreement":null},{"id":"W2124324573","doi":"10.1080/0042098032000155713","title":"Decomposing Canada's Growing Housing Affordability Problem: Do City Differences Matter?","year":2004,"lang":"en","type":"article","venue":"Urban Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Microdata (statistics); Immigration; Demographic economics; Poverty; Multivariate probit model; Ethnic group; Bivariate analysis; Household income; Economics; Public use; Census; Geography; Economic growth; Population; Demography; Political science; Sociology; Econometrics","score_opus":0.040075560887555255,"score_gpt":0.22188103010720528,"score_spread":0.18180546921965002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124324573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9612349,0.0031517888,0.00039214335,0.001287859,0.0007702534,0.00017050562,0.00003117497,0.00005956449,0.032901812],"genre_scores_gemma":[0.99689835,0.00026658067,0.002186551,0.00034071255,0.00015899239,0.000015600548,0.0000030288752,0.000026716256,0.00010344049],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983202,0.000013642684,0.0006484677,0.0005026863,0.00004240941,0.0004725838],"domain_scores_gemma":[0.9992261,0.0000895226,0.00027553033,0.00029005358,0.000036410725,0.000082364735],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043241322,0.00024360696,0.0006318755,0.00010544892,0.00046502423,0.00014020651,0.00021304535,0.00005991814,0.00007430207],"category_scores_gemma":[0.00007140748,0.00026495918,0.000100063335,0.00015269873,0.00013079999,0.0003172708,0.00015980836,0.00015182892,0.000056666006],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011339047,0.000046830162,0.98532075,0.00009203068,0.00013739463,0.0000050850276,0.0012400717,0.00023045564,0.0000061826563,0.010263157,0.0014319402,0.0012147374],"study_design_scores_gemma":[0.0021940754,0.00013127906,0.6090047,0.00041803153,0.00007093767,0.000016195538,0.003540049,0.00027533944,0.00034759534,0.35158864,0.030106114,0.0023070804],"about_ca_topic_score_codex":0.089957185,"about_ca_topic_score_gemma":0.16418166,"teacher_disagreement_score":0.3763161,"about_ca_system_score_codex":0.00089428085,"about_ca_system_score_gemma":0.00009154524,"threshold_uncertainty_score":0.9999803},"labels":[],"label_agreement":null},{"id":"W2125610858","doi":"10.18174/122030","title":"Valuation of land use in the Netherlands and British Columbia: a spatial hedonic GIS-based approach","year":2008,"lang":"en","type":"dissertation","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Zoning; Externality; Valuation (finance); Economic interventionism; Land use; Government (linguistics); Space (punctuation); Geography; Intervention (counseling); Natural resource economics; Environmental planning; Business; Market failure; Economics; Agricultural economics; Environmental resource management; Civil engineering; Finance; Microeconomics; Engineering; Political science; Computer science","score_opus":0.040641924680821506,"score_gpt":0.21034283359677186,"score_spread":0.16970090891595035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125610858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9391379,0.0003858723,0.00049497676,0.000014919641,0.00019726496,0.0003786871,0.000082379214,0.000011877894,0.059296153],"genre_scores_gemma":[0.9947718,0.0010949776,0.00038876152,0.000066426015,0.00006811221,0.000045251818,0.0009698045,0.000032342403,0.002562552],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987451,0.00003629148,0.00064126565,0.0003571336,0.000040159106,0.00018004676],"domain_scores_gemma":[0.9991826,0.000109026514,0.00042089485,0.00023260569,0.000027834192,0.00002706723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067906256,0.0001277451,0.0004811021,0.0001328472,0.00008183157,0.000313957,0.00015799131,0.00027630152,0.000145677],"category_scores_gemma":[0.00008873361,0.00018008739,0.00009055892,0.0001390754,0.00004233083,0.00012966206,0.000009181801,0.0001984828,0.0000065950085],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007319541,0.00023238566,0.9867953,0.00021014089,0.0000448867,0.000004747355,0.0011211168,0.00048703482,5.536958e-7,0.00033371008,0.0016580027,0.009038892],"study_design_scores_gemma":[0.001564327,0.000086179505,0.9503548,0.000060394188,0.000020466112,0.000009967856,0.000253588,0.042162906,0.00000178531,0.002845059,0.0022477214,0.0003927873],"about_ca_topic_score_codex":0.116330504,"about_ca_topic_score_gemma":0.39264885,"teacher_disagreement_score":0.27631834,"about_ca_system_score_codex":0.000048919504,"about_ca_system_score_gemma":0.00006471319,"threshold_uncertainty_score":0.8895539},"labels":[],"label_agreement":null},{"id":"W2125668666","doi":"10.1111/1540-6229.12019","title":"Supply Elasticity and the Housing Cycle of the 2000s","year":2013,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":115,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economics; Elasticity (physics); Price elasticity of supply; Proxy (statistics); Price elasticity of demand; Econometrics; Supply and demand; Microeconomics; Computer science","score_opus":0.00961104678728131,"score_gpt":0.1704426960787055,"score_spread":0.16083164929142418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125668666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8634704,0.000047684105,0.00006292441,0.00096759567,0.00037618942,0.0002900127,0.00005443361,0.000016851609,0.13471395],"genre_scores_gemma":[0.9905678,0.008691034,0.00024501857,0.00016346172,0.00008502003,0.00001768656,0.0000031998563,0.000032061922,0.00019471861],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986785,0.000028275143,0.0006879851,0.00028841363,0.00001308104,0.0003037278],"domain_scores_gemma":[0.99875873,0.00021834653,0.00049830833,0.00043162348,0.00002087234,0.000072134215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005869218,0.00016266854,0.00044022375,0.00006373902,0.00018927072,0.00014425699,0.00031735294,0.00008361018,0.00017912677],"category_scores_gemma":[0.000072469484,0.00012580291,0.00013718756,0.000078140445,0.00043021448,0.00029524948,0.00017179167,0.00015484566,0.00018184663],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024330513,0.00016902902,0.41885278,0.00014309371,0.00031549815,0.0000011455609,0.004788446,0.016351804,0.000028062988,0.42598706,0.0018718628,0.13124791],"study_design_scores_gemma":[0.0049252054,0.0000806359,0.39936972,0.000044878532,0.000055043052,0.000023143073,0.0007630945,0.30069554,0.00022473524,0.26607624,0.026770817,0.00097095314],"about_ca_topic_score_codex":0.005604031,"about_ca_topic_score_gemma":0.00046220326,"teacher_disagreement_score":0.28434372,"about_ca_system_score_codex":0.00009360003,"about_ca_system_score_gemma":0.00003463275,"threshold_uncertainty_score":0.8471656},"labels":[],"label_agreement":null},{"id":"W2126101728","doi":"10.1111/1540-6261.00423","title":"Portfolio Choice in the Presence of Personal Illiquid Projects","year":2002,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":141,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Toronto","funders":"","keywords":"Market liquidity; Portfolio; Business; SAFER; Finance; Marketing; Actuarial science","score_opus":0.050156747216260116,"score_gpt":0.2213552716417858,"score_spread":0.1711985244255257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126101728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96547306,0.0031277316,0.0000905588,0.0014392384,0.00025660475,0.00010557234,0.000008325889,0.0000020986695,0.029496817],"genre_scores_gemma":[0.9950321,0.003980526,0.00015877203,0.00019902467,0.00015435841,0.0000019057559,1.5625443e-7,0.000009265767,0.0004638967],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989105,0.000043550077,0.0006941884,0.000095433745,0.00005347677,0.00020286746],"domain_scores_gemma":[0.9985652,0.00025483282,0.0008965777,0.00022734512,0.00003749262,0.000018545308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018685319,0.00009368942,0.00030015197,0.00012759275,0.0000620802,0.000022764865,0.0005884765,0.000047546047,0.00015014867],"category_scores_gemma":[0.00026309508,0.00006503065,0.00010221745,0.0002662772,0.00010600316,0.00024517643,0.000029937088,0.00027253028,0.00003485373],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009018779,0.0020932523,0.6617981,0.00036208116,0.0002838698,0.00014919804,0.09572805,0.0071665114,0.00035439976,0.07173402,0.10881666,0.05061199],"study_design_scores_gemma":[0.0036728822,0.0013720421,0.56848687,0.00048122316,0.00005720012,0.0007639583,0.0021135495,0.043990698,0.00048067857,0.018548904,0.35909006,0.00094195234],"about_ca_topic_score_codex":0.000113661124,"about_ca_topic_score_gemma":0.00003855995,"teacher_disagreement_score":0.25027338,"about_ca_system_score_codex":0.00004225322,"about_ca_system_score_gemma":0.000020778998,"threshold_uncertainty_score":0.26518726},"labels":[],"label_agreement":null},{"id":"W2126231143","doi":"10.5539/ass.v9n14p63","title":"Property Market Efficiency: Developed or Vacant Property","year":2013,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; Property (philosophy); Space (punctuation); Business; Process (computing); Value (mathematics); Distribution (mathematics); Real estate development; Property management; Estate; Economic efficiency; Industrial organization; Environmental economics; Economics; Economic system; Microeconomics; Computer science; Finance","score_opus":0.03577262800233629,"score_gpt":0.22724974340216764,"score_spread":0.19147711539983134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126231143","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02108055,0.000016341397,0.00039070204,0.0028192906,0.00053805247,0.00043333133,0.000008734771,0.00007944915,0.9746336],"genre_scores_gemma":[0.96905506,0.00003416992,0.0013806926,0.000535899,0.00019337637,0.000060513034,0.0000013613767,0.000023959965,0.028714951],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980105,0.000018393128,0.0005125943,0.00063744735,0.000085075204,0.00073598936],"domain_scores_gemma":[0.9992239,0.000019607878,0.0002291222,0.00026214932,0.00008029226,0.0001849187],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001337513,0.00018076316,0.00033464888,0.0001745882,0.00084363,0.00045489546,0.000798078,0.000099371835,0.0042162207],"category_scores_gemma":[0.0003190621,0.00011266002,0.00007188632,0.000944522,0.0005913953,0.00088625815,0.00019552327,0.00015185865,0.0026741407],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006509328,0.0002861002,0.022073317,0.00005435044,0.000028756685,0.000010339294,0.0060938196,0.0000012333479,0.00025088675,0.03424822,0.0722112,0.8646767],"study_design_scores_gemma":[0.00089914387,0.00016056006,0.33946526,0.0000285212,0.000006844627,0.000016342707,0.0010887766,0.0046018097,0.00017625622,0.015550907,0.63666385,0.0013416829],"about_ca_topic_score_codex":0.00067110796,"about_ca_topic_score_gemma":0.000061721235,"teacher_disagreement_score":0.9479745,"about_ca_system_score_codex":0.00033016992,"about_ca_system_score_gemma":0.0003611216,"threshold_uncertainty_score":0.99810237},"labels":[],"label_agreement":null},{"id":"W2126701309","doi":"","title":"COMPARISON OF SPATIAL HEDONIC HOUSE PRICE MODELS: APPLICATION TO REAL ESTATE TRANSACTIONS IN VANCOUVER WEST","year":2014,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"House price; Real estate; Economics; Computer science; Econometrics; Finance","score_opus":0.02097836875087578,"score_gpt":0.20903215109598497,"score_spread":0.1880537823451092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126701309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5787574,0.0000048065076,0.3095268,0.00009269593,0.00020878125,0.00021234168,0.00004011597,0.000060286,0.11109677],"genre_scores_gemma":[0.99851155,0.0002679977,0.00070543925,0.000023395163,0.000025383379,0.0000020550804,0.000008034719,0.000025892272,0.00043027697],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898964,0.000022698661,0.00037487727,0.00034977467,0.00002884542,0.00023414481],"domain_scores_gemma":[0.99929416,0.000051446317,0.00021676539,0.00030871123,0.000026983687,0.0001019467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022917833,0.0001281474,0.00036628867,0.0005245204,0.00007275462,0.000017203205,0.00025481792,0.000107047155,0.000084646286],"category_scores_gemma":[0.0000092319515,0.00018907578,0.000078818295,0.00042653273,0.000038684262,0.0003224447,0.00002699611,0.00013657744,0.00011959412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019020376,0.00034846418,0.7790501,0.000043853168,0.000031595064,0.0000020476261,0.0003920535,0.18421982,0.00000386428,0.007644116,0.0006798295,0.027394067],"study_design_scores_gemma":[0.0024989895,0.0002489572,0.015717855,0.000031530843,0.00003406103,4.7771005e-9,0.0050640944,0.6397277,0.00030269212,0.0034985624,0.33207345,0.0008020789],"about_ca_topic_score_codex":0.009686478,"about_ca_topic_score_gemma":0.45199168,"teacher_disagreement_score":0.76333225,"about_ca_system_score_codex":0.00025281002,"about_ca_system_score_gemma":0.000027942044,"threshold_uncertainty_score":0.9969081},"labels":[],"label_agreement":null},{"id":"W2126723900","doi":"10.1007/s10693-014-0211-9","title":"Transparency in the Mortgage Market","year":2015,"lang":"en","type":"article","venue":"Journal of Financial Services Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Transparency (behavior); Volatility (finance); Business; Real estate; Economics; Monetary economics; Finance","score_opus":0.11877102291293612,"score_gpt":0.3227214507426529,"score_spread":0.20395042782971678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126723900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7558771,0.001393448,0.00008913815,0.0012287985,0.00046420135,0.00013377445,0.000012025972,0.0000035593775,0.24079798],"genre_scores_gemma":[0.9980143,0.0008200847,0.00022189147,0.00022448071,0.00047757954,0.0000048788497,0.0000013718794,0.000012982838,0.00022243205],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99829155,0.00013685963,0.000852792,0.00015760644,0.00016022238,0.0004009533],"domain_scores_gemma":[0.99902785,0.00015132345,0.00030419932,0.00024040046,0.00015409388,0.00012216327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010622019,0.00009411336,0.00034206067,0.0004939296,0.00009337197,0.00014626989,0.0009062645,0.000107244894,0.00018089403],"category_scores_gemma":[0.00020202348,0.00007947493,0.00010583634,0.0006100262,0.00005980426,0.0004209047,0.000048155813,0.00066724076,0.00013086648],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017845245,0.0013437809,0.74141794,0.000416047,0.000069837595,0.00084828906,0.06416143,0.00056767813,0.000026380498,0.09269381,0.048815276,0.047854967],"study_design_scores_gemma":[0.0023786668,0.0006550925,0.34852266,0.00012770298,0.0000059061404,0.00008205259,0.00354677,0.0023492533,0.000019152696,0.23530415,0.4066674,0.00034117312],"about_ca_topic_score_codex":0.00055285846,"about_ca_topic_score_gemma":0.00080970605,"teacher_disagreement_score":0.3928953,"about_ca_system_score_codex":0.00016075275,"about_ca_system_score_gemma":0.00014813145,"threshold_uncertainty_score":0.36814007},"labels":[],"label_agreement":null},{"id":"W2127211441","doi":"10.1029/2009wr008074","title":"Does a property‐specific environmental health risk create a “neighborhood” housing price stigma? Arsenic in private well water","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nova Scotia Department of Agriculture","funders":"","keywords":"Purchasing; Superfund; Bottled water; Arsenic contamination of groundwater; Arsenic; Business; Natural resource economics; Safe Drinking Water Act; Groundwater; Environmental health; Environmental engineering; Environmental science; Waste management; Hazardous waste; Economics; Water quality; Engineering; Medicine","score_opus":0.03426667482601786,"score_gpt":0.24573039291945528,"score_spread":0.21146371809343742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127211441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9795856,0.00015567831,0.00003436395,0.0017312595,0.000313486,0.0008119426,0.00006289436,0.00006320737,0.017241606],"genre_scores_gemma":[0.99269235,0.0018005029,0.00029391656,0.000094381,0.0003035958,0.00007887259,0.000049908816,0.00011240485,0.004574067],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956154,0.00023697094,0.001054954,0.0010736195,0.00016972965,0.0018493184],"domain_scores_gemma":[0.99847835,0.0000780408,0.00017166599,0.0009280483,0.000016821197,0.0003270896],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005070132,0.0003275115,0.0006782996,0.0008953642,0.0006786055,0.0005224486,0.0007346771,0.0002311632,0.0019873069],"category_scores_gemma":[0.000048284266,0.00016219838,0.00014278897,0.00020592324,0.0003784249,0.00034088717,0.000591836,0.0015619207,0.0041354913],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009742349,0.0014446205,0.9047298,0.00088201644,0.00020882557,0.00015126886,0.055426985,0.0003599184,0.015008158,0.0011783338,0.00085591496,0.018779935],"study_design_scores_gemma":[0.0018964174,0.00027064446,0.016364882,0.00011178294,0.0000049671894,0.000011998154,0.00055347005,0.0037577152,0.008023925,0.013347457,0.95474076,0.00091600145],"about_ca_topic_score_codex":0.001823826,"about_ca_topic_score_gemma":0.0005519346,"teacher_disagreement_score":0.95388484,"about_ca_system_score_codex":0.00040901572,"about_ca_system_score_gemma":0.000020546891,"threshold_uncertainty_score":0.99892503},"labels":[],"label_agreement":null},{"id":"W2127852872","doi":"10.1016/j.jmoneco.2010.09.005","title":"House prices and risk sharing","year":2010,"lang":"en","type":"article","venue":"Journal of Monetary Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Panel Study of Income Dynamics; Economics; Consumption (sociology); House price; Panel data; Job loss; Labour economics; Demographic economics; Econometrics; Macroeconomics; Unemployment","score_opus":0.01673351875773223,"score_gpt":0.18326014313149858,"score_spread":0.16652662437376634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127852872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9867023,0.0006444191,0.00022423781,0.0002389735,0.0014207296,0.000060922936,0.000023850123,0.000019804884,0.010664718],"genre_scores_gemma":[0.9809291,0.011429326,0.006859405,0.00009786482,0.00056260015,9.382842e-7,0.0000011742919,0.00004818512,0.000071437324],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984349,0.000005917163,0.0010368316,0.00026505764,0.000013672625,0.00024359314],"domain_scores_gemma":[0.99800754,0.00008321467,0.001409755,0.0002924989,0.000024142018,0.00018288213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013500308,0.00016369374,0.0005259161,0.00029593124,0.00011064931,0.00017458803,0.0003375264,0.00013686343,0.00016775279],"category_scores_gemma":[0.00011544598,0.00018885276,0.00015638398,0.000050304658,0.0000762977,0.0007294546,0.000091906084,0.0005462566,0.00010561483],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006769012,0.0000628935,0.97011155,0.000017069291,0.00018929457,0.0000084009,0.0003947609,0.0011737648,0.000032593878,0.015228033,0.00035206246,0.012361911],"study_design_scores_gemma":[0.0032177563,0.0004058139,0.54175395,0.000031777003,0.00011999422,0.000539913,0.00024199922,0.0612196,0.0001964783,0.25547972,0.1355483,0.0012446985],"about_ca_topic_score_codex":0.00013278883,"about_ca_topic_score_gemma":0.00016758396,"teacher_disagreement_score":0.42835757,"about_ca_system_score_codex":0.000046790592,"about_ca_system_score_gemma":0.000024156621,"threshold_uncertainty_score":0.77011925},"labels":[],"label_agreement":null},{"id":"W2128192391","doi":"10.1002/cd.292","title":"Twenty-one reasons to care about the psychological basis of ownership","year":2011,"lang":"en","type":"article","venue":"New Directions for Child and Adolescent Development","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Psychology; Social psychology; Developmental psychology; Positive economics; Economics","score_opus":0.06785511914939447,"score_gpt":0.2415083118917848,"score_spread":0.17365319274239033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128192391","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6129081,0.0040640323,0.008832473,0.004902095,0.002680265,0.0021143036,0.00016278178,0.00017790895,0.36415803],"genre_scores_gemma":[0.9893034,0.0006947617,0.0085292775,0.000628708,0.00013469852,0.000044419365,0.000012334403,0.00001925489,0.0006331545],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99902314,0.000008258029,0.00039781287,0.0003199974,0.000022682707,0.00022810094],"domain_scores_gemma":[0.9994846,0.0000181279,0.00013508424,0.00020432303,0.000026091895,0.00013178802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023262498,0.00012855684,0.00024219131,0.00012863793,0.00030447164,0.000030427342,0.00014951476,0.000067651745,0.0001303528],"category_scores_gemma":[0.000049184066,0.00011192622,0.00008991285,0.00014595946,0.00003893815,0.000049401995,0.000048586793,0.000093966286,0.000039310482],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000352065,0.0010644651,0.26971096,0.00027665863,0.00028109457,7.122421e-7,0.022269975,0.000014826383,0.000014676822,0.041868966,0.021035036,0.6431106],"study_design_scores_gemma":[0.000537885,0.00006953774,0.5078446,0.0001260199,0.00001444772,0.0000033487133,0.00048766666,0.000009234317,0.00048468274,0.0011996954,0.48896417,0.00025869044],"about_ca_topic_score_codex":0.000045118017,"about_ca_topic_score_gemma":0.00008924724,"teacher_disagreement_score":0.6428519,"about_ca_system_score_codex":0.00006901981,"about_ca_system_score_gemma":0.00002087908,"threshold_uncertainty_score":0.45642188},"labels":[],"label_agreement":null},{"id":"W2129305480","doi":"10.1108/02637470210450595","title":"A comparison of US and Canadian residential mortgage markets","year":2002,"lang":"en","type":"article","venue":"Property Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Government (linguistics); Financial market; Economics; Public policy; Finance; Globalization; Business; Market economy; Economic growth","score_opus":0.05314810331397452,"score_gpt":0.2203045065784177,"score_spread":0.1671564032644432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129305480","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25198957,0.0007624463,0.000096597556,0.00063278095,0.00023081874,0.00026209283,0.000016356988,0.00001911985,0.7459902],"genre_scores_gemma":[0.9907143,0.00088024576,0.00058475044,0.00012976966,0.00003045939,0.000013207303,0.0000032928442,0.000017047052,0.007626922],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990245,0.000010536824,0.0004212351,0.0002684441,0.000022846403,0.00025242066],"domain_scores_gemma":[0.99949735,0.0000073682227,0.00013502128,0.00024062702,0.000009002798,0.00011064464],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00032172157,0.00010312737,0.00027695834,0.0002481633,0.0000924505,0.00006699227,0.00015094293,0.000044164994,0.001314679],"category_scores_gemma":[0.000015224635,0.0000981884,0.00004183632,0.00009196227,0.000044723485,0.00011574294,0.00008419015,0.00006545227,0.0002712071],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005259961,0.0002784823,0.74977183,0.00047755367,0.00031418775,0.000039138715,0.0015387285,0.00013453394,0.000006406166,0.032880716,0.067361765,0.14714403],"study_design_scores_gemma":[0.0007464875,0.00006358031,0.16362762,0.00003478949,0.000024997404,0.000002651413,0.00014943969,0.054084193,0.000031033513,0.0019767785,0.7788587,0.00039972857],"about_ca_topic_score_codex":0.02182556,"about_ca_topic_score_gemma":0.01371059,"teacher_disagreement_score":0.7387247,"about_ca_system_score_codex":0.0000859753,"about_ca_system_score_gemma":0.0000037493533,"threshold_uncertainty_score":0.99959826},"labels":[],"label_agreement":null},{"id":"W2130732838","doi":"10.53383/100086","title":"International Real Estate Review","year":2007,"lang":"en","type":"article","venue":"International Real Estate Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"HEC Montréal; Agriculture and Agri-Food Canada","funders":"","keywords":"Real estate; Database transaction; Noise (video); Sample (material); Value (mathematics); Transaction data; Business; Econometrics; Event (particle physics); Event study; Economics; Finance; Computer science; Geography; Statistics; Mathematics; Database","score_opus":0.03834773265380261,"score_gpt":0.29866534548650614,"score_spread":0.26031761283270355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130732838","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016570176,0.0012535801,0.00044118174,0.0035848708,0.002131112,0.0003886561,0.0001675638,0.00008407144,0.99029195],"genre_scores_gemma":[0.0024710605,0.99434936,0.001041134,0.0009619035,0.00040569916,0.000031314044,0.00031260194,0.000049864608,0.00037707915],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971853,0.000026386373,0.0016484327,0.0005727166,0.00014104355,0.00042615389],"domain_scores_gemma":[0.99825084,0.00014898916,0.00084077555,0.00040595946,0.00016305302,0.00019038383],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002728362,0.00028362824,0.000709536,0.00022883326,0.000069912174,0.00009413634,0.00077226106,0.00008230111,0.002360792],"category_scores_gemma":[0.00041932458,0.00031610508,0.00033128314,0.00022373613,0.00007020752,0.00047063123,0.00016012604,0.00024827648,0.0021832336],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019047036,0.00006113277,0.0023700863,0.0010069811,0.00010023048,0.000040551575,0.000050415136,0.000004684481,0.0000022869463,0.0012330046,0.005393177,0.9897184],"study_design_scores_gemma":[0.00026433033,0.000023390388,0.0023925493,0.0021296896,0.000022164708,0.000046623194,0.000008289404,0.00028313982,0.0000040717737,0.00014256123,0.9943538,0.0003294006],"about_ca_topic_score_codex":0.0011549047,"about_ca_topic_score_gemma":0.000187249,"teacher_disagreement_score":0.99309576,"about_ca_system_score_codex":0.00047477894,"about_ca_system_score_gemma":0.00005256869,"threshold_uncertainty_score":0.99992913},"labels":[],"label_agreement":null},{"id":"W2131101894","doi":"","title":"Homeownership Boom and Bust 2000 to 2009: Where Will the Homeownership Rate Go from Here?","year":2011,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bust; Boom; Quarter (Canadian coin); Crash; Investment (military); Economics; Demographic economics; Labour economics; Interest rate; Monetary economics; Geography; Political science","score_opus":0.05038510925621385,"score_gpt":0.19419210361460096,"score_spread":0.14380699435838712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131101894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6135624,0.0018915824,0.0005712477,0.0035401671,0.0006891238,0.00031419695,0.00015809899,0.0001030251,0.37917018],"genre_scores_gemma":[0.98053974,0.0011158237,0.0012064939,0.0020092945,0.00029728207,0.000026732143,0.0000120466375,0.000064577485,0.014727983],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99814725,0.000041064563,0.0005872138,0.00064276747,0.000027845697,0.00055388606],"domain_scores_gemma":[0.99870145,0.00014249464,0.00021060536,0.00065365096,0.000023930314,0.00026784083],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009005112,0.0002885055,0.00048391474,0.00016926597,0.00020037658,0.00024260543,0.00046771613,0.00017899807,0.0058145286],"category_scores_gemma":[0.0000806426,0.00024038208,0.000111292575,0.00023016453,0.00011681201,0.0004405938,0.00014314886,0.00022852862,0.0027005377],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006095242,0.00033100956,0.69317603,0.00008233097,0.00048727964,0.000033462507,0.016875725,0.000076871016,0.000056514244,0.14849208,0.10934243,0.030436758],"study_design_scores_gemma":[0.0015046414,0.00020399687,0.1804122,0.000050181712,0.00003951409,0.000008009639,0.0025919704,0.001384465,0.0001791841,0.08043949,0.73165876,0.0015276036],"about_ca_topic_score_codex":0.0032394535,"about_ca_topic_score_gemma":0.0017793835,"teacher_disagreement_score":0.6223163,"about_ca_system_score_codex":0.00011374458,"about_ca_system_score_gemma":0.000033264474,"threshold_uncertainty_score":0.99807596},"labels":[],"label_agreement":null},{"id":"W2131997918","doi":"10.3968/j.css.1923669720070302.001","title":"Useful Aspects of US Real Estate Investment Trusts for China","year":2010,"lang":"en","type":"article","venue":"Canadian social science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate investment trust; Real estate; China; Investment (military); Welfare economics; Humanities; Business; Economy; Political science; Economics; Finance; Art","score_opus":0.018966955702817697,"score_gpt":0.21811316040186618,"score_spread":0.19914620469904848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131997918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5181587,0.0000019017147,0.000009807617,0.00016396138,0.00051719905,0.00009395288,0.00008711043,0.0000061498495,0.48096123],"genre_scores_gemma":[0.9990935,0.000034686655,0.00034160964,0.00020803165,0.00016520492,0.000010208519,0.0000043611385,0.000011696808,0.00013070143],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.998963,0.0000029588477,0.00026413117,0.0002881184,0.000027444827,0.00045433978],"domain_scores_gemma":[0.99929816,0.000016105103,0.00016917675,0.0001670866,0.00003235518,0.0003171214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074926106,0.00008374257,0.00020211165,0.0002355425,0.0003534893,0.000082777784,0.00034916052,0.000074417956,0.00010846995],"category_scores_gemma":[0.00013643071,0.00010809586,0.00006414567,0.00030385944,0.00044295198,0.00021734432,0.000022873443,0.000093468625,0.000035100013],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000527771,0.000016625258,0.085439995,0.000012839888,0.0000072578637,0.0000017604924,0.0016827586,0.0000042558727,0.0003145179,0.9010077,0.0006118345,0.0108951405],"study_design_scores_gemma":[0.0006309704,0.00008305196,0.56044227,0.000005172167,0.000006799155,0.0000024695053,0.0002495193,0.0021058668,0.0005385711,0.08892218,0.34647366,0.00053942326],"about_ca_topic_score_codex":0.05226547,"about_ca_topic_score_gemma":0.13800345,"teacher_disagreement_score":0.81208557,"about_ca_system_score_codex":0.00031375422,"about_ca_system_score_gemma":0.00049421325,"threshold_uncertainty_score":0.9540456},"labels":[],"label_agreement":null},{"id":"W2134940469","doi":"10.5539/ijms.v3n2p160","title":"An Analysis of Clients' Satisfaction with Mortgage Valuation Reports in Nigeria","year":2011,"lang":"en","type":"article","venue":"International Journal of Marketing Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Sophistication; Pre-money valuation; Business; Actuarial science; Property market; Perception; Income approach; Marketing; Finance; Psychology; Real estate","score_opus":0.05432220500227703,"score_gpt":0.28802877455316944,"score_spread":0.23370656955089242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134940469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99323404,0.00020596488,0.00090569234,0.000040429808,0.00066370127,0.000039941682,0.000006608156,0.0000043213577,0.004899279],"genre_scores_gemma":[0.9971854,0.0006074842,0.002091511,0.00002043423,0.00006584617,0.000001934594,0.0000032106482,0.0000086212,0.000015553818],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99846745,0.000073916046,0.0011212648,0.00015487,0.00008752578,0.00009500372],"domain_scores_gemma":[0.9976185,0.00014987294,0.0017929864,0.00011825474,0.0002941417,0.000026250993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048151645,0.000085154876,0.0004291178,0.00090238283,0.00002738657,0.000022485705,0.00012506747,0.000033856595,0.00011298001],"category_scores_gemma":[0.0007303112,0.00008355653,0.000110664114,0.00021598693,0.00004472331,0.000361741,0.000025518008,0.00008958218,0.0000013487464],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041217273,0.00007830162,0.9909208,0.0000067064693,0.001443829,0.00003297793,0.0023675067,0.0016413224,0.000016411288,0.00033709954,0.000015140088,0.0027277532],"study_design_scores_gemma":[0.00028370167,0.00007836298,0.994752,0.000052062744,0.00007267783,0.000017281998,0.0011057099,0.0014396323,0.00003038858,0.00202553,0.000054693668,0.00008795758],"about_ca_topic_score_codex":0.00021944335,"about_ca_topic_score_gemma":0.00094255974,"teacher_disagreement_score":0.0048837257,"about_ca_system_score_codex":0.00017577266,"about_ca_system_score_gemma":0.00001957144,"threshold_uncertainty_score":0.34073365},"labels":[],"label_agreement":null},{"id":"W2134956469","doi":"10.3968/j.css.1923669720070302.002","title":"The Real Estate Bubble’s Forming and Precaution","year":2010,"lang":"en","type":"article","venue":"Canadian social science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; Speculation; Capital (architecture); Bubble; Political science; Humanities; Economy; Economics; Business; Philosophy; Finance; Law; Physics; History; Archaeology","score_opus":0.014919543563466116,"score_gpt":0.2069735417050553,"score_spread":0.1920539981415892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134956469","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46877912,0.000007124872,0.000008301111,0.0005176399,0.00049491593,0.000043055894,0.000010517485,0.0000074621844,0.5301319],"genre_scores_gemma":[0.9991277,0.00028083543,0.00008062372,0.00008000402,0.00013633326,0.0000040751665,8.291006e-7,0.0000054869884,0.00028415388],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99927616,0.0000026366,0.00014260298,0.00018938241,0.000018052284,0.0003711353],"domain_scores_gemma":[0.9995824,0.000022153621,0.00007245034,0.0001021205,0.000017934313,0.00020292868],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0010487245,0.00005107601,0.00007541158,0.00008629457,0.0014415386,0.0002937362,0.0002147144,0.000047769005,0.00002449935],"category_scores_gemma":[0.000105417916,0.00005245604,0.000018856374,0.00019161333,0.00051271485,0.00028660466,0.000026830363,0.00011282266,0.00004584795],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002581123,0.0000029123976,0.09764015,0.0000030568626,0.000003277873,0.0000013855584,0.0023111387,4.4516668e-7,0.00015031095,0.62023234,0.0004719918,0.2791804],"study_design_scores_gemma":[0.00015274042,0.0000139673775,0.07623591,0.0000018374569,0.0000019447932,0.0000035610744,0.0006670225,0.0032966298,0.00004183438,0.030078147,0.8892322,0.00027417927],"about_ca_topic_score_codex":0.029848328,"about_ca_topic_score_gemma":0.18588436,"teacher_disagreement_score":0.8887602,"about_ca_system_score_codex":0.00017740567,"about_ca_system_score_gemma":0.00017482105,"threshold_uncertainty_score":0.99985844},"labels":[],"label_agreement":null},{"id":"W2135488551","doi":"10.2174/1874915100801010001","title":"Factors That Affect Canadian Propensity to Direct Investment Abroad: Evidence from the Indian Real Estate Market","year":2008,"lang":"en","type":"article","venue":"The Open Business Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Investment (military); Affect (linguistics); Propensity score matching; Real estate investment trust; Monetary economics; Business; Capital (architecture); Finance; Economics; Demographic economics; Psychology; Geography","score_opus":0.14786767009689983,"score_gpt":0.2615806989497186,"score_spread":0.11371302885281875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135488551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85497177,0.00009698933,0.000021636324,0.005680896,0.0008818072,0.00058568805,0.00008953259,0.000012194297,0.13765949],"genre_scores_gemma":[0.9915541,0.005378472,0.00012995255,0.0013885136,0.00025751386,0.000018324,0.000009554533,0.000043546002,0.0012200378],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983177,0.00015096788,0.0004962932,0.0003857497,0.00007537957,0.000573875],"domain_scores_gemma":[0.9981062,0.00031769488,0.0004354386,0.00066842,0.000059264537,0.0004130034],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023125117,0.0002736023,0.0005317376,0.00016249945,0.0015098617,0.0010575182,0.0017770535,0.00008251237,0.0012549255],"category_scores_gemma":[0.00036312966,0.00017554806,0.000105193154,0.00041449565,0.00013961052,0.00091784995,0.00036163194,0.00037000724,0.00027843876],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013226309,0.000032936197,0.9554734,0.000006105357,0.00012432996,0.000094459356,0.008361125,0.00032274774,0.0000036961403,0.00014206042,0.03210589,0.0032009925],"study_design_scores_gemma":[0.00024188451,0.000025673848,0.9424988,0.000080894846,0.00001284862,0.000063359614,0.00022148454,0.000090944646,0.000022142955,0.00078091735,0.05566602,0.00029504363],"about_ca_topic_score_codex":0.5046298,"about_ca_topic_score_gemma":0.2659456,"teacher_disagreement_score":0.23868416,"about_ca_system_score_codex":0.00055561494,"about_ca_system_score_gemma":0.0004597574,"threshold_uncertainty_score":0.9999795},"labels":[],"label_agreement":null},{"id":"W2136062089","doi":"10.5539/ass.v7n9p175","title":"Theoretical Framework of Fair Distribution of Affordable Housing in China","year":2011,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Affordable housing; China; Mainland China; Distribution (mathematics); Urbanization; Enforcement; Economic Justice; Legislation; Order (exchange); Business; Industrialisation; Safeguard; Population; Economic growth; Public economics; Economics; Finance; Political science; Market economy; Law; International trade; Sociology","score_opus":0.017134782200850164,"score_gpt":0.22350613838354697,"score_spread":0.2063713561826968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136062089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53108084,0.000011971567,0.0041689887,0.000065368724,0.00014224721,0.000049379032,0.00001982703,0.0000070267492,0.46445432],"genre_scores_gemma":[0.99870735,0.00001562248,0.0012211085,0.00001030635,0.000032139847,0.000001592062,0.0000016185633,0.00000568884,0.000004579999],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991254,0.000008961253,0.0003758085,0.00020046414,0.000035751134,0.00025361267],"domain_scores_gemma":[0.99956906,0.000016177946,0.0002280357,0.00012934697,0.000017522914,0.000039864568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010034344,0.000063509615,0.00023745371,0.0001018652,0.000086455606,0.00001683155,0.00027387086,0.000082411796,0.00023905253],"category_scores_gemma":[0.0001908026,0.0000748887,0.00005629455,0.0005759061,0.000978971,0.0002289473,0.000065922046,0.00009788869,0.000013112492],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010529943,0.000050895414,0.0450695,0.0000074838254,0.0000016963088,3.2199068e-7,0.0030398034,6.420827e-7,0.00001537405,0.9426589,0.000005216477,0.009139634],"study_design_scores_gemma":[0.000088391316,0.00002554523,0.42844862,0.000014045698,0.0000012226825,2.2971273e-7,0.00033549484,0.00021872671,0.00047183706,0.5702322,0.00007551226,0.00008815088],"about_ca_topic_score_codex":0.00020321953,"about_ca_topic_score_gemma":0.000011575628,"teacher_disagreement_score":0.46762648,"about_ca_system_score_codex":0.00010018723,"about_ca_system_score_gemma":0.000043808253,"threshold_uncertainty_score":0.36070597},"labels":[],"label_agreement":null},{"id":"W2136482755","doi":"10.1016/j.jenvman.2007.06.006","title":"Urban property values and contaminated sites: A hedonic analysis of Sydney, Nova Scotia","year":2007,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Alberta","keywords":"Nova scotia; Residential property; Property value; Environmental science; Square (algebra); Property (philosophy); Contamination; Ordinary least squares; Geography; Mathematics; Archaeology; Statistics; Ecology; Economics","score_opus":0.015041718697019524,"score_gpt":0.1988508055074952,"score_spread":0.18380908681047567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136482755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9772336,0.0008650367,0.0012224993,0.00007066762,0.0001623569,0.00012985143,0.000023520368,0.0000040020955,0.020288449],"genre_scores_gemma":[0.9967903,0.0013612624,0.00093530555,0.00009117889,0.000036890557,3.6395664e-7,0.000006345609,0.000015052405,0.0007633118],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855316,0.0000118326825,0.00096777803,0.00019814355,0.000059251997,0.00020985586],"domain_scores_gemma":[0.9988643,0.000031293806,0.0008200276,0.00018622028,0.0000058607116,0.00009230905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012271198,0.0001361893,0.0005313386,0.0006921813,0.000036784433,0.00003326614,0.00016929761,0.000051916428,0.0004859849],"category_scores_gemma":[0.000011425272,0.00012139361,0.00019990253,0.00022203792,0.00010281698,0.00020272269,0.000108328306,0.00010078215,0.000034399785],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021859349,0.0006741569,0.9745567,0.00010457926,0.004209223,0.000072598756,0.00095957314,0.00038683382,0.00044561893,0.0025851203,0.0012530072,0.014534026],"study_design_scores_gemma":[0.0012856803,0.00031938672,0.984567,0.000039874434,0.00068848906,0.000011517958,0.0009298388,0.0020321184,0.00019693143,0.0009473838,0.008689518,0.00029227484],"about_ca_topic_score_codex":0.000044755838,"about_ca_topic_score_gemma":0.000033227436,"teacher_disagreement_score":0.019556671,"about_ca_system_score_codex":0.00021409294,"about_ca_system_score_gemma":0.0000027882802,"threshold_uncertainty_score":0.5321194},"labels":[],"label_agreement":null},{"id":"W2137852504","doi":"10.2139/ssrn.1287687","title":"Misaligned Incentives and Mortgage Lending in Asia","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Commercial mortgage-backed security; Business; Mortgage underwriting; Incentive; Financial system; Shared appreciation mortgage; Collateralized mortgage obligation; Secondary mortgage market; Mortgage insurance; Economics; Monetary economics; Finance; Market economy","score_opus":0.012314160084744218,"score_gpt":0.21705098742492177,"score_spread":0.20473682734017754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137852504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93956,0.0030347977,0.0054072994,0.00023867679,0.00024567152,0.000065224274,0.000001904303,0.000014566925,0.051431853],"genre_scores_gemma":[0.9917687,0.0073758373,0.00015881055,0.000042987795,0.00015110023,8.7044583e-7,0.0000013706292,0.00002172851,0.00047857576],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99767494,0.0000133784415,0.0005182344,0.00022273112,0.000021187401,0.0015495141],"domain_scores_gemma":[0.999542,0.00004543148,0.00023125981,0.00009930011,0.000008242075,0.000073794814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045568994,0.00011871322,0.00025345915,0.0003565458,0.00012323118,0.00007951771,0.00013846614,0.00008063241,0.000041390256],"category_scores_gemma":[0.00006674007,0.00014317331,0.000059675545,0.0001475596,0.0000404626,0.0002966033,0.00003373896,0.00075686886,0.000042009153],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060330087,0.000049158207,0.34858707,0.0000066306684,0.000052324176,0.000011415196,0.0004895995,0.000011739825,0.00005604688,0.6258633,0.000021095433,0.024791291],"study_design_scores_gemma":[0.0016656619,0.00015409909,0.106808476,0.000027114327,0.0000070889705,0.0002549428,0.0030044152,0.00056972995,0.000087964225,0.8779771,0.008974127,0.000469295],"about_ca_topic_score_codex":0.00011335284,"about_ca_topic_score_gemma":0.0014605076,"teacher_disagreement_score":0.2521138,"about_ca_system_score_codex":0.0007895529,"about_ca_system_score_gemma":0.00012268417,"threshold_uncertainty_score":0.5838438},"labels":[],"label_agreement":null},{"id":"W2138464795","doi":"10.1016/j.labeco.2013.08.006","title":"New casinos and local labor markets: Evidence from Canada","year":2013,"lang":"en","type":"article","venue":"Labour Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Alberta Gambling Research Institute, University of Calgary; Bureau of Indian Affairs; University of Alberta","keywords":"Earnings; Labour economics; Hospitality industry; Hospitality; Tourism; Business; Economics; Entertainment; Finance; Geography","score_opus":0.013816889261597671,"score_gpt":0.17514202324041334,"score_spread":0.16132513397881568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138464795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838965,0.0015972746,0.001257499,0.0032524725,0.0010397878,0.00023402314,0.00031658486,0.00004246544,0.008363373],"genre_scores_gemma":[0.9889276,0.002909752,0.0033875178,0.0018854896,0.00038091766,0.000018608522,0.000018655319,0.000057136003,0.0024143166],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980361,0.00001718411,0.0007679968,0.0006621827,0.000018957013,0.0004975657],"domain_scores_gemma":[0.99846894,0.00025503742,0.00034803312,0.000511072,0.000029890198,0.00038703802],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00026126383,0.00027946092,0.00056393386,0.00009426637,0.00012721146,0.00033391028,0.00035092796,0.00016188603,0.004074159],"category_scores_gemma":[0.00012004087,0.0003624279,0.00006371795,0.00009284722,0.000069353315,0.00077829335,0.0001493504,0.00019661605,0.0008759198],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007610296,0.000035821286,0.76362926,0.00005563725,0.0002003519,0.000012740759,0.0005214071,0.00046215102,0.000014779379,0.11419448,0.015836969,0.10496028],"study_design_scores_gemma":[0.001114974,0.00004469406,0.58815765,0.000060435177,0.000016507154,0.00001619694,0.0003362883,0.0073691243,0.00015924936,0.20368463,0.19786648,0.0011737765],"about_ca_topic_score_codex":0.86414444,"about_ca_topic_score_gemma":0.5152582,"teacher_disagreement_score":0.34888625,"about_ca_system_score_codex":0.00051526836,"about_ca_system_score_gemma":0.00036288076,"threshold_uncertainty_score":0.999902},"labels":[],"label_agreement":null},{"id":"W2138926224","doi":"10.1093/ajae/aap022","title":"The Effect of Strict Agricultural Zoning on Agricultural Land Values: The Case of Ontario's Greenbelt","year":2010,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Zoning; Legislation; Metropolitan area; Agriculture; Agricultural economics; Boundary (topology); Geography; Land use; Land Values; Agricultural land; Environmental protection; Economics; Archaeology; Law; Political science; Ecology","score_opus":0.006052990814093039,"score_gpt":0.1846982669825664,"score_spread":0.17864527616847334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138926224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894875,0.00013535883,0.000004015754,0.00063343154,0.0014157551,0.00026209798,0.000051612507,0.000010436748,0.007999773],"genre_scores_gemma":[0.9986386,0.00026680512,0.0002459731,0.0000389645,0.0005108727,0.0000066360867,0.000008906078,0.00002054426,0.0002627377],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972611,0.00011261784,0.001779547,0.0003152206,0.00005932,0.00047217408],"domain_scores_gemma":[0.9941812,0.0011946143,0.0038754754,0.00039805777,0.0001705576,0.00018006533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018302911,0.0004000899,0.0012074508,0.0001269535,0.00039564184,0.00017789041,0.0008215186,0.000121737285,0.000051913874],"category_scores_gemma":[0.00027875244,0.0001896515,0.0006900448,0.00031423708,0.0005190485,0.00043364736,0.00010695479,0.00089874456,0.000022374703],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034812535,0.0007610781,0.7438801,0.00021382284,0.0052524414,0.00018595248,0.019381788,0.036985584,0.0037140418,0.05447959,0.00935942,0.122304946],"study_design_scores_gemma":[0.0023536277,0.004709886,0.9729517,0.00008548435,0.00021842455,0.0038962574,0.005304229,0.00016912926,0.0024123397,0.0008556314,0.00613163,0.00091163476],"about_ca_topic_score_codex":0.007520222,"about_ca_topic_score_gemma":0.014065221,"teacher_disagreement_score":0.22907165,"about_ca_system_score_codex":0.00036545223,"about_ca_system_score_gemma":0.00008433426,"threshold_uncertainty_score":0.99908876},"labels":[],"label_agreement":null},{"id":"W2138926570","doi":"10.2139/ssrn.1602163","title":"The Macroeconomic Effects of Housing Wealth, Housing Finance, and Limited Risk-Sharing in General Equilibrium","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":219,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Economics; General equilibrium theory; Monetary economics; Macroeconomics","score_opus":0.01289920678949767,"score_gpt":0.19697766366815508,"score_spread":0.18407845687865743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138926570","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98568034,0.008174665,0.0007019726,0.000065266555,0.0005197361,0.0001663114,0.0000038209378,0.000016946722,0.0046709543],"genre_scores_gemma":[0.95727664,0.042003963,0.00034468618,0.000030721363,0.00015781191,0.000005172943,8.604112e-7,0.000047813824,0.00013230633],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969429,0.000044965764,0.0008960994,0.00035437618,0.00002577877,0.0017359281],"domain_scores_gemma":[0.998593,0.00012056969,0.0009192411,0.00028350356,0.000018935569,0.00006479705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002842821,0.00020495888,0.00046454478,0.00030144744,0.00027898772,0.00010810385,0.00036125522,0.00011662961,0.000008011424],"category_scores_gemma":[0.00010687672,0.00020711741,0.00012213772,0.00017907207,0.00011506988,0.00035332644,0.00012226841,0.001105721,0.00001624898],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026120382,0.00010622389,0.70383793,0.00006900625,0.00020587812,0.000009145675,0.0013355761,0.00049113354,0.000096883225,0.23216791,0.000018628805,0.061400466],"study_design_scores_gemma":[0.0032249233,0.00050528446,0.1086938,0.0001290846,0.000043091517,0.00011905492,0.00047993608,0.027660757,0.00049926504,0.8562981,0.0015620869,0.0007846485],"about_ca_topic_score_codex":0.0009206544,"about_ca_topic_score_gemma":0.0018149636,"teacher_disagreement_score":0.62413013,"about_ca_system_score_codex":0.000669393,"about_ca_system_score_gemma":0.00025605946,"threshold_uncertainty_score":0.84460026},"labels":[],"label_agreement":null},{"id":"W2139544668","doi":"10.2139/ssrn.1970288","title":"The Dodd-Frank Act and Housing Finance: Can It Restore Private Risk Capital to the Securitization Market?","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Securitization; Business; Financial system; Finance; Structured finance; Capital market; Economics; Financial crisis","score_opus":0.011402850109437392,"score_gpt":0.1866873772363127,"score_spread":0.1752845271268753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139544668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9794558,0.003513174,0.0019152781,0.0024748452,0.00059039646,0.00021174381,0.000018506764,0.000019888377,0.011800358],"genre_scores_gemma":[0.9514776,0.047212325,0.00011931587,0.0001899408,0.00031896908,0.000008383664,0.0000016681488,0.000037887723,0.0006339426],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977612,0.00005875274,0.0004890249,0.0002790934,0.00004270341,0.0013692515],"domain_scores_gemma":[0.99907947,0.00007477967,0.00042932693,0.0003068709,0.000031647603,0.00007788898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034373233,0.00017621538,0.00022089695,0.000108056855,0.0010442529,0.000245162,0.00039656958,0.000086847205,0.000045786564],"category_scores_gemma":[0.00018805903,0.00013699509,0.00009097274,0.00017081264,0.00008153552,0.00021767363,0.000080533224,0.00097515614,0.00004763124],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042879177,0.00008600317,0.30462345,0.000014324596,0.0003446729,0.000007737992,0.011499407,0.00019967019,0.000004589062,0.54844725,0.0037838472,0.13056025],"study_design_scores_gemma":[0.0010700885,0.0003999784,0.1264815,0.000039089613,0.000045470148,0.00021380451,0.0023247616,0.0024303764,0.000019143701,0.71365124,0.15264751,0.00067700644],"about_ca_topic_score_codex":0.0004632585,"about_ca_topic_score_gemma":0.007249334,"teacher_disagreement_score":0.17814194,"about_ca_system_score_codex":0.00056026666,"about_ca_system_score_gemma":0.0002555285,"threshold_uncertainty_score":0.80316544},"labels":[],"label_agreement":null},{"id":"W2139591793","doi":"10.2139/ssrn.1573328","title":"The Determinants of Attitudes towards Strategic Default on Mortgages","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":94,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"Booth School of Business, University of Chicago","keywords":"Business; Default; Financial system; Finance","score_opus":0.05774293156866571,"score_gpt":0.24704147977030574,"score_spread":0.18929854820164005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139591793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9075903,0.0014473991,0.00013605403,0.00006630121,0.00036536646,0.00006478996,0.0000054789416,0.0000118694115,0.090312414],"genre_scores_gemma":[0.9879349,0.011195028,0.00005591804,0.00002715325,0.00010642129,0.0000031874981,4.944571e-7,0.000023211287,0.00065367547],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99799407,0.000022193855,0.00057978317,0.00018198186,0.00003515059,0.0011867958],"domain_scores_gemma":[0.9991519,0.000039203565,0.00048203277,0.00024380296,0.000027980603,0.000055101755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022193906,0.00013683917,0.00028098657,0.00010862676,0.00025023115,0.000059723643,0.00041666324,0.000075414886,0.00007565463],"category_scores_gemma":[0.000052649317,0.00011216367,0.00015010769,0.0000837892,0.00008427773,0.00013415376,0.00003143406,0.0006903763,0.000118529264],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011983787,0.00012613696,0.1516009,0.000010008122,0.00015340166,0.0000037906073,0.00027701588,0.000020255928,0.0000055339497,0.81316715,0.000031399093,0.03448455],"study_design_scores_gemma":[0.00048002062,0.0005599553,0.038245525,0.00001843344,0.000011622123,0.0000839055,0.00069876626,0.00042211375,0.0001897487,0.9581345,0.0009133883,0.00024205643],"about_ca_topic_score_codex":0.00022176468,"about_ca_topic_score_gemma":0.0013852722,"teacher_disagreement_score":0.1449673,"about_ca_system_score_codex":0.00029999932,"about_ca_system_score_gemma":0.00035258214,"threshold_uncertainty_score":0.45739016},"labels":[],"label_agreement":null},{"id":"W2140078909","doi":"10.5539/ijef.v6n7p43","title":"The Fall of Detroit: A Financial Economist’s Point of View","year":2014,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Prosperity; Bankruptcy; Insolvency; Diversification (marketing strategy); Portfolio; Finance; Economics; Population; Business; Market economy; Economic growth; Marketing; Sociology","score_opus":0.014285759673776063,"score_gpt":0.20070522998394486,"score_spread":0.18641947031016878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140078909","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98011214,0.0016457516,0.0011363328,0.0015606106,0.0016416799,0.000066499655,0.00006484085,0.0000018588603,0.0137703],"genre_scores_gemma":[0.9733813,0.025046185,0.0010098326,0.00016218674,0.00027101973,0.000001951812,0.0000014920279,0.0000146176535,0.00011142493],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981448,0.00001407426,0.001486451,0.00017122958,0.000022488322,0.00016097532],"domain_scores_gemma":[0.99728626,0.00019918408,0.0021356004,0.0001956572,0.00014224085,0.000041079787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013239988,0.00012816163,0.00053716084,0.00016297579,0.00005620026,0.00006353864,0.00055172335,0.00007595608,0.00001741565],"category_scores_gemma":[0.0002733185,0.00012455415,0.00021514794,0.00003871348,0.00016693826,0.00026549314,0.00009028323,0.00013317508,0.000010110337],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018882669,0.00007215028,0.008940865,0.000018234656,0.00011969009,0.0000013731834,0.00019664167,0.0022955437,0.0000068559143,0.9163457,0.0003668573,0.07144726],"study_design_scores_gemma":[0.0019421321,0.0003495858,0.019804541,0.00010024532,0.000016029991,0.0000750352,0.000049442195,0.02283288,0.00038824198,0.35982877,0.5942854,0.00032767333],"about_ca_topic_score_codex":0.00007791507,"about_ca_topic_score_gemma":0.00009784579,"teacher_disagreement_score":0.59391856,"about_ca_system_score_codex":0.00008163517,"about_ca_system_score_gemma":0.000069434784,"threshold_uncertainty_score":0.5079171},"labels":[],"label_agreement":null},{"id":"W2140271225","doi":"10.1111/j.0033-0124.2004.05601016.x","title":"From Chicago to L.A. and Back Again: A Chicago‐Inspired Quantitative Analysis of Income Distribution in Montreal<sup>*</sup>","year":2004,"lang":"en","type":"article","venue":"The Professional Geographer","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Humanism; Postmodernism; Marxist philosophy; Sociology; Urban theory; Social science; Psychological resilience; Urban studies; Epistemology; Law; Politics; Political science; Philosophy; Social psychology","score_opus":0.01874606610515604,"score_gpt":0.24572059366964302,"score_spread":0.226974527564487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140271225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931034,0.00031441014,0.00067290926,0.0016000824,0.00010769391,0.0002769335,0.00084764336,0.000012544746,0.003064393],"genre_scores_gemma":[0.9985782,0.00015900229,0.00063297106,0.00021267442,0.00003447997,0.00003064634,0.00018845122,0.000014594714,0.00014900268],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985845,0.000052820535,0.0006426168,0.00039726318,0.000051044568,0.00027176793],"domain_scores_gemma":[0.9991081,0.00016970774,0.00027325976,0.00032609713,0.000030319718,0.00009253589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065062096,0.00017203973,0.0005613088,0.00037649905,0.000114779294,0.00003164221,0.0002372751,0.00012419387,0.00037797823],"category_scores_gemma":[0.000086005886,0.00014692565,0.00017926778,0.0011671709,0.00013255981,0.00013471022,0.00014040242,0.00019097007,0.00013630635],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042920854,0.00036786555,0.93629295,0.000024664321,0.00088587013,0.0000026179587,0.008802098,0.025831966,0.00002949648,0.025157196,0.00015032054,0.0020257428],"study_design_scores_gemma":[0.00085408014,0.000052257943,0.93310857,0.000061514875,0.000060344595,2.2458586e-7,0.0007702707,0.010493831,0.000009595515,0.05382861,0.0005414089,0.00021929565],"about_ca_topic_score_codex":0.006218132,"about_ca_topic_score_gemma":0.0016844118,"teacher_disagreement_score":0.028671414,"about_ca_system_score_codex":0.000060886887,"about_ca_system_score_gemma":0.000021065789,"threshold_uncertainty_score":0.9399997},"labels":[],"label_agreement":null},{"id":"W2140881407","doi":"","title":"Adjacent Period Dummy Variable Hedonic Regressions and Bilateral Index Number Theory","year":2010,"lang":"en","type":"article","venue":"Annals of Economics and Statistics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Weighting; Econometrics; Hedonic index; Section (typography); Regression analysis; Index (typography); Regression; Variable (mathematics); Economics; Statistics; Variables; Hedonic regression; Product (mathematics); Period (music); Price index; Mathematics; Computer science","score_opus":0.03353280287440774,"score_gpt":0.25116696081636214,"score_spread":0.2176341579419544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140881407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92190444,0.00041778557,0.003464746,0.00073939643,0.00096792163,0.00021549418,0.0071994388,0.00002434447,0.065066405],"genre_scores_gemma":[0.97497535,0.0070808833,0.0158856,0.0005387567,0.00014821455,0.000013330244,0.000099532284,0.000052853746,0.0012054831],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99856967,0.0000151564045,0.0006827763,0.0003864265,0.000011886999,0.00033406957],"domain_scores_gemma":[0.99883306,0.00020218424,0.00041766514,0.00031794354,0.0000457641,0.00018336931],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00071193324,0.00019809898,0.00049972907,0.0001152249,0.00016060912,0.00014590981,0.00014317757,0.00016643293,0.0017914536],"category_scores_gemma":[0.00017470629,0.00022685686,0.000051565676,0.000051891762,0.00022710036,0.00020371565,0.00012750125,0.00023042921,0.000050907907],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048258684,0.00005493365,0.030559668,0.00003710991,0.00006393845,0.0000016436913,0.00023585706,0.000046198427,0.0000051715056,0.95816463,0.0041300952,0.0066525037],"study_design_scores_gemma":[0.00056121685,0.00006990558,0.011128858,0.000025453759,0.000011755815,0.000025748634,0.00009139958,0.026556743,0.00002530504,0.71303004,0.24801402,0.00045958292],"about_ca_topic_score_codex":0.00014801955,"about_ca_topic_score_gemma":0.00015582559,"teacher_disagreement_score":0.2451346,"about_ca_system_score_codex":0.000011360702,"about_ca_system_score_gemma":0.000050240178,"threshold_uncertainty_score":0.99912107},"labels":[],"label_agreement":null},{"id":"W2141284852","doi":"10.5430/ijfr.v4n3p25","title":"Including More Information Content to Enhance the Value at Risk Estimation for Real Estate Investment Trusts","year":2013,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate investment trust; Real estate; Value at risk; Estimation; Asset (computer security); Econometrics; Investment (military); Value (mathematics); Generalized method of moments; Business; Economics; Actuarial science; Financial economics; Risk management; Finance; Statistics; Computer science; Mathematics","score_opus":0.10315784505560802,"score_gpt":0.36503282534200093,"score_spread":0.2618749802863929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141284852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9709909,0.00002565471,0.010140106,0.005660942,0.0010349724,0.000513752,0.00006893572,0.000006010624,0.011558729],"genre_scores_gemma":[0.99330074,0.0011622839,0.0041941204,0.0005423399,0.00041093494,0.00008745748,0.0000144609685,0.000013179454,0.00027450128],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9984391,0.000040892166,0.00089833105,0.00013051897,0.00021072815,0.0002804317],"domain_scores_gemma":[0.9979038,0.00035993697,0.00065778475,0.00014143808,0.00082226424,0.00011476377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031635405,0.0000951186,0.00020633441,0.00046674008,0.00026062535,0.00027506714,0.000552812,0.000064642656,0.000073060575],"category_scores_gemma":[0.0032106328,0.00008335652,0.000118428594,0.00014813643,0.000069353824,0.0009196403,0.00017790115,0.00026314563,0.00033663068],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080369826,0.00011860098,0.01784907,0.000031291922,0.00013293028,0.0000048131437,0.008037632,0.012599846,0.0002590769,0.07419105,0.01991401,0.866058],"study_design_scores_gemma":[0.002545461,0.0009658521,0.4762913,0.0002066748,0.00001637372,0.000035175315,0.0005471105,0.13443571,0.003121769,0.12695639,0.2543049,0.0005732822],"about_ca_topic_score_codex":0.0014752956,"about_ca_topic_score_gemma":0.00009355929,"teacher_disagreement_score":0.8654847,"about_ca_system_score_codex":0.0009406303,"about_ca_system_score_gemma":0.00012948841,"threshold_uncertainty_score":0.43268186},"labels":[],"label_agreement":null},{"id":"W2141605637","doi":"10.5430/ijfr.v4n1p54","title":"The Impact of the Goods and Services Tax on Mortgage Costs: Evidence from Australian Mortgage Corporations","year":2012,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mortgage insurance; Secondary mortgage market; Collateralized mortgage obligation; Shared appreciation mortgage; Mortgage underwriting; Yield (engineering); Business; Economics; Monetary economics; Finance; Financial system; Insurance policy","score_opus":0.13964274236697694,"score_gpt":0.38816086602072924,"score_spread":0.2485181236537523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141605637","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922376,0.0006120455,0.00003721749,0.0016557759,0.00087926275,0.0000984931,0.00014638536,0.0000015453356,0.0043316316],"genre_scores_gemma":[0.9975565,0.0013877017,0.000074966476,0.000033742497,0.0006397179,0.0000031460888,0.0000018013138,0.00000974311,0.00029264382],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987522,0.000083714054,0.00060194166,0.00011257722,0.00019799458,0.00025157112],"domain_scores_gemma":[0.998112,0.0006822053,0.00063257065,0.00020777453,0.00026599792,0.00009944524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002959641,0.0000881974,0.00019272625,0.00018501082,0.00022087916,0.0001798895,0.00077184965,0.00006962374,0.00009794094],"category_scores_gemma":[0.001165075,0.00005985788,0.00015943346,0.00016529781,0.00018146168,0.00041990663,0.00014037151,0.0004656465,0.00003079925],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034257295,0.00015589064,0.94341165,0.000007373027,0.00014529556,0.0000069184252,0.0010433102,0.00021857776,0.00040401582,0.031392284,0.00376282,0.019109312],"study_design_scores_gemma":[0.0002598158,0.00012760829,0.9823165,0.00014011648,0.0000037702325,0.000009160316,0.00007187723,0.0003709021,0.000267807,0.010542754,0.005815947,0.000073751515],"about_ca_topic_score_codex":0.0026191615,"about_ca_topic_score_gemma":0.00035952055,"teacher_disagreement_score":0.03890486,"about_ca_system_score_codex":0.0003830964,"about_ca_system_score_gemma":0.00015353248,"threshold_uncertainty_score":0.39594063},"labels":[],"label_agreement":null},{"id":"W2142134099","doi":"10.1177/0027950109354414","title":"Architects as Nowcasters of Housing Construction","year":2009,"lang":"en","type":"article","venue":"National Institute Economic Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Economic and Social Research Council; University of Waikato","keywords":"Respondent; Sample (material); Quarter (Canadian coin); Nowcasting; Work (physics); Private sector; Qualitative analysis; Tertiary sector of the economy; Marketing; Engineering; Economics; Business; Regional science; Qualitative research; Political science; Geography; Sociology; Economic growth; Social science","score_opus":0.04705883864461657,"score_gpt":0.27144961298262066,"score_spread":0.22439077433800408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142134099","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08527105,0.011388253,0.00086833525,0.003261697,0.00218802,0.00047392392,0.00008841968,0.000056147113,0.89640415],"genre_scores_gemma":[0.90924305,0.079466835,0.006521847,0.0037098338,0.00066188094,0.000018079618,0.0000899984,0.000030973446,0.000257536],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99841666,0.000012139465,0.0010075563,0.00034019674,0.00003523359,0.00018823677],"domain_scores_gemma":[0.9989809,0.000033116383,0.00066267425,0.00021023331,0.000041618117,0.00007150152],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00075280643,0.0001587865,0.00056508096,0.00023633543,0.00007580917,0.000038252474,0.00020515521,0.000073667135,0.0004908316],"category_scores_gemma":[0.00015676477,0.00020079548,0.0001852754,0.00011344396,0.000112247406,0.0005132078,0.000024361636,0.00011351185,0.0011699279],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001677712,0.00005010185,0.0013719187,0.0003079382,0.000053406515,0.0000016414145,0.00003798233,0.001008586,0.000010803821,0.89878297,0.0026146239,0.095743254],"study_design_scores_gemma":[0.000829482,0.000105247105,0.0027991731,0.0008732602,0.000024082607,0.00008861739,0.000010107238,0.0018244637,0.0000873314,0.13927959,0.8534869,0.0005917271],"about_ca_topic_score_codex":0.00004542902,"about_ca_topic_score_gemma":0.000015600115,"teacher_disagreement_score":0.8961466,"about_ca_system_score_codex":0.00032489013,"about_ca_system_score_gemma":0.00014624241,"threshold_uncertainty_score":0.9996078},"labels":[],"label_agreement":null},{"id":"W2142263241","doi":"10.4284/0038-4038-78.3.999","title":"Did the Recent Housing Boom Signal the Global Financial Crisis?","year":2012,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Boom; Financial crisis; Economics; Probit model; Recession; Probit; Logit; Econometrics; Vector autoregression; Macroeconomics; Engineering","score_opus":0.02746015894485858,"score_gpt":0.21648070198815275,"score_spread":0.1890205430432942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142263241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88768154,0.0055772434,0.003592388,0.018720247,0.00920906,0.00037333195,0.0003718745,0.00007720397,0.07439711],"genre_scores_gemma":[0.99285454,0.000815844,0.00015709655,0.0019572303,0.00400554,0.000008827618,0.0000038532417,0.00005040454,0.00014669469],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99767745,0.00007872091,0.0010041433,0.0002958159,0.00004225172,0.0009016289],"domain_scores_gemma":[0.9983714,0.00008482782,0.0008284785,0.0004569907,0.000023294859,0.00023496278],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0029617336,0.00028347698,0.00042959632,0.00007341377,0.0009715171,0.0005413405,0.0007501008,0.00015011239,0.002561475],"category_scores_gemma":[0.00007756805,0.00021097611,0.000339046,0.0001038719,0.00015023538,0.00047592132,0.00014817159,0.0005611816,0.005025087],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034556814,0.00033654648,0.6967188,0.000020106803,0.00069920137,0.0000142026365,0.01319813,0.0034769957,0.000005050203,0.14032033,0.08283754,0.062027525],"study_design_scores_gemma":[0.001129191,0.00005898513,0.015458915,0.000015564961,0.00005971967,0.00036236882,0.0035167122,0.001567039,0.000013101623,0.105588704,0.87149185,0.0007378257],"about_ca_topic_score_codex":0.00019588704,"about_ca_topic_score_gemma":0.00015728002,"teacher_disagreement_score":0.7886543,"about_ca_system_score_codex":0.00087055354,"about_ca_system_score_gemma":0.00013750639,"threshold_uncertainty_score":0.9983503},"labels":[],"label_agreement":null},{"id":"W2142600680","doi":"10.1016/j.reseneeco.2004.11.003","title":"The impact of oil and natural gas facilities on rural residential property values: a spatial hedonic analysis","year":2005,"lang":"en","type":"article","venue":"Resource and Energy Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":178,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Alberta","funders":"","keywords":"Amenity; Property value; Residential property; Natural gas; Fossil fuel; Property (philosophy); Environmental science; Geography; Real estate; Business; Engineering; Waste management","score_opus":0.009763910789946751,"score_gpt":0.19294028698085564,"score_spread":0.18317637619090887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142600680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9658723,0.0013575634,0.00002789289,0.0004891643,0.0000899376,0.000020710877,0.000076097844,0.000018574541,0.032047752],"genre_scores_gemma":[0.9836193,0.0087049855,0.0000366196,0.00006005021,0.00025002263,0.000007645572,0.000024858848,0.000023586292,0.007272967],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99855447,0.000030978306,0.0006646921,0.00036062865,0.000021105692,0.00036809998],"domain_scores_gemma":[0.99902034,0.0001406809,0.0003434496,0.00037052052,0.00001656783,0.00010843776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045871365,0.00023280602,0.00056626584,0.00026690168,0.0002830769,0.00021782862,0.00019892814,0.00011468768,0.00006591565],"category_scores_gemma":[0.00004537903,0.00017260604,0.0003075348,0.0001086349,0.00022909345,0.00019472181,0.000104593484,0.00013538549,0.000012315102],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015543132,0.00020624883,0.13268454,0.000071593124,0.0038608846,0.0000028330458,0.0048818504,0.07972466,0.000021402771,0.03791752,0.0017366923,0.73733747],"study_design_scores_gemma":[0.002625928,0.00059031846,0.03367996,0.000041369927,0.0002103793,0.00002782297,0.002255055,0.63512427,0.00013259884,0.011673052,0.31225,0.0013892407],"about_ca_topic_score_codex":0.007072141,"about_ca_topic_score_gemma":0.0033145659,"teacher_disagreement_score":0.7359482,"about_ca_system_score_codex":0.00017366068,"about_ca_system_score_gemma":0.000029993806,"threshold_uncertainty_score":0.99953985},"labels":[],"label_agreement":null},{"id":"W2145130226","doi":"","title":"Religious Value Halos: The Effect of a Jewish Orthodox Campus on Residential Property Values","year":2011,"lang":"en","type":"article","venue":"Journal of the Asian Real Estate Society","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Property value; Residential property; Judaism; Property (philosophy); Mile; Quarter (Canadian coin); Value (mathematics); Sociology; History; Geography; Political science; Statistics; Archaeology; Mathematics; Law; Regional science; Philosophy","score_opus":0.018512407405245845,"score_gpt":0.21712719233557023,"score_spread":0.1986147849303244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145130226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8705554,0.00012420074,0.0000749822,0.00087163446,0.0011746062,0.00025542532,0.000020784817,0.000012446952,0.12691051],"genre_scores_gemma":[0.9941186,0.0044081793,0.0006883344,0.000112911875,0.0002453706,0.0000029774644,6.917946e-7,0.000037522484,0.00038546883],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99834275,0.00016831532,0.0009236591,0.00019382492,0.00009055804,0.00028086457],"domain_scores_gemma":[0.9977002,0.0001471091,0.001552863,0.0004659101,0.000054027085,0.0000798628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028597328,0.00018750645,0.0005469909,0.000054576998,0.00020518975,0.00006069898,0.000668557,0.00012360656,0.00002693857],"category_scores_gemma":[0.00021329064,0.00009808632,0.0008957642,0.00016665237,0.00020860879,0.00017792791,0.00010618891,0.00045306768,0.00002388489],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003455431,0.0007125486,0.602772,0.0006496516,0.0034856023,0.0000963727,0.11598983,0.002433521,0.00033746337,0.006494829,0.09156923,0.17200354],"study_design_scores_gemma":[0.017256616,0.013667801,0.59597486,0.0016364339,0.0015104746,0.0012074927,0.0095572155,0.008541088,0.017819002,0.2741892,0.055289507,0.003350288],"about_ca_topic_score_codex":0.0007297141,"about_ca_topic_score_gemma":0.00003581224,"teacher_disagreement_score":0.26769438,"about_ca_system_score_codex":0.00015502798,"about_ca_system_score_gemma":0.00008427836,"threshold_uncertainty_score":0.3999844},"labels":[],"label_agreement":null},{"id":"W2145474528","doi":"10.1111/j.1540-6229.2005.00127.x","title":"Gracing the Land of Elvis and Beale Street: Historic Designation and Property Values in Memphis","year":2005,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":128,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Memphis; Property value; Commission; Residential property; Land Values; Property (philosophy); Quarter (Canadian coin); Economics; Sociology; Law and economics; Law; History; Political science; Archaeology; Land use; Economic geography; Real estate; Engineering; Civil engineering; Philosophy","score_opus":0.02387509485596654,"score_gpt":0.19808205108778315,"score_spread":0.17420695623181662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145474528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9678471,0.00029546436,0.00004791236,0.00038225675,0.00009876233,0.00017012867,0.000031807056,0.0000126107225,0.031113971],"genre_scores_gemma":[0.9682211,0.030686911,0.00077178166,0.000037305294,0.00007162578,0.000008951939,0.000007884986,0.000022314485,0.00017212509],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893767,0.000017844695,0.0005528946,0.00028422987,0.000010510258,0.00019683823],"domain_scores_gemma":[0.9993589,0.00009508468,0.000303085,0.00017623909,0.000012213062,0.000054458596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007221784,0.00012876326,0.00032718017,0.00016900912,0.0000820556,0.000050017603,0.00010136164,0.00007180323,0.000016379525],"category_scores_gemma":[0.000035503086,0.00011266115,0.000034936646,0.000065755325,0.000093964634,0.00033327506,0.00005022753,0.00009150796,0.000009659977],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007591091,0.00008447598,0.68903327,0.00008887693,0.000048743248,0.0000013055633,0.004245591,0.0072604846,0.000015860742,0.0074797897,0.00015122129,0.29151446],"study_design_scores_gemma":[0.0039695273,0.00034029677,0.45241866,0.00008411306,0.0000490482,0.000025926001,0.0010161096,0.43286726,0.00029176602,0.030485988,0.07703538,0.0014159027],"about_ca_topic_score_codex":0.0031050267,"about_ca_topic_score_gemma":0.0034813236,"teacher_disagreement_score":0.4256068,"about_ca_system_score_codex":0.00023551709,"about_ca_system_score_gemma":0.00002675547,"threshold_uncertainty_score":0.46938923},"labels":[],"label_agreement":null},{"id":"W2145706070","doi":"10.2139/ssrn.2146988","title":"Can 'High Costs'' Justify Weak Demand for the Home Equity Conversion Mortgage?","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Download; Equity (law); Home equity; Business; Internet privacy; Computer science; Computer security; World Wide Web; Finance; Political science; Law","score_opus":0.02389744191962697,"score_gpt":0.23811814322391045,"score_spread":0.21422070130428347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145706070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92188895,0.014186128,0.030746846,0.008358954,0.004657405,0.0006316807,0.00010115095,0.00006228461,0.019366574],"genre_scores_gemma":[0.9866,0.010549443,0.00009072075,0.0002514265,0.0010399247,0.000013728765,0.000009995136,0.00004062335,0.0014041599],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968198,0.000024372735,0.000493689,0.00021369311,0.00004261509,0.0024058279],"domain_scores_gemma":[0.9989814,0.00016752946,0.00040533204,0.00025915966,0.000033488766,0.00015305344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049412246,0.0001823111,0.00033051005,0.0001268807,0.0006100204,0.00013847998,0.0004119237,0.00012611099,0.00016093338],"category_scores_gemma":[0.00010744312,0.00016248976,0.00020086647,0.00011018902,0.00006784501,0.00033755915,0.00009715206,0.0009544323,0.00015423367],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011486655,0.00008486476,0.051193472,0.000020998916,0.00029129474,4.001107e-7,0.00024291193,0.00010398716,0.000010457547,0.92134464,0.0020990842,0.024493039],"study_design_scores_gemma":[0.004099423,0.00048447138,0.034653846,0.000028289967,0.0001889478,0.00032447107,0.0033105498,0.0034398332,0.00010216864,0.7789326,0.17331958,0.0011158556],"about_ca_topic_score_codex":0.0003666694,"about_ca_topic_score_gemma":0.00042282106,"teacher_disagreement_score":0.1712205,"about_ca_system_score_codex":0.0017776806,"about_ca_system_score_gemma":0.00031233055,"threshold_uncertainty_score":0.662614},"labels":[],"label_agreement":null},{"id":"W2145762516","doi":"10.5539/ijef.v4n9p34","title":"Residential Location Choice: The Role of a Taste for Similarity","year":2012,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Tiebout model; Public good; Similarity (geometry); Economics; Taste; Microeconomics; Public economics; Psychology; Computer science","score_opus":0.021693528952108097,"score_gpt":0.2359879592165261,"score_spread":0.214294430264418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145762516","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877243,0.0035858247,0.0013573661,0.0012196241,0.0017529511,0.00010413151,0.00009099604,0.0000016789663,0.004163132],"genre_scores_gemma":[0.99381,0.0042547043,0.0010085593,0.00010545409,0.0007464499,0.000004135334,0.0000035532719,0.000010974407,0.000056150726],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990439,0.0000065533573,0.0006963811,0.00009762428,0.000016560074,0.00013901237],"domain_scores_gemma":[0.99856997,0.0001218512,0.0010422545,0.00010708314,0.00012812091,0.000030717358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085345015,0.00007930854,0.00023641404,0.00011282353,0.00005252222,0.000058730577,0.00029168438,0.000056074852,0.000016101436],"category_scores_gemma":[0.00014931175,0.00007801593,0.00010956853,0.000032503303,0.00006301304,0.00045994786,0.00004780952,0.00008668842,0.000005423902],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002374268,0.0001533846,0.088580385,0.000017127413,0.00023082507,3.1415522e-7,0.000813104,0.0043833703,0.000024747016,0.87385535,0.0006265182,0.031077428],"study_design_scores_gemma":[0.0014913739,0.00012167014,0.057021566,0.000042009957,0.000025060908,0.000048897276,0.00018571438,0.031922005,0.00070556614,0.21827517,0.68989486,0.0002661307],"about_ca_topic_score_codex":0.000059057606,"about_ca_topic_score_gemma":0.00002901004,"teacher_disagreement_score":0.6892683,"about_ca_system_score_codex":0.00006691871,"about_ca_system_score_gemma":0.000033161203,"threshold_uncertainty_score":0.31813973},"labels":[],"label_agreement":null},{"id":"W2145918125","doi":"","title":"Energy Codes and the Landlord-Tenant Problem","year":2013,"lang":"en","type":"preprint","venue":"Carleton University's Institutional Repository (MacOdrum Library, Carleton University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Pacific Northwest National Laboratory; U.S. Department of Energy","keywords":"Landlord; Economic rent; Capitalization; Energy (signal processing); Real estate; Code (set theory); Efficient energy use; Exploit; Business; Microeconomics; Economics; Finance; Engineering; Computer science; Computer security; Mathematics","score_opus":0.009654241602907393,"score_gpt":0.1445598229708676,"score_spread":0.13490558136796021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145918125","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.109730996,0.0014228384,0.002606334,0.002516711,0.0026053884,0.0007515568,0.00061852497,0.00038696456,0.8793607],"genre_scores_gemma":[0.88189685,0.008561107,0.0010163044,0.0005371103,0.0007206447,0.0000046492714,0.00042117026,0.00009603664,0.10674614],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969495,0.00022804951,0.00065418554,0.0013789189,0.00014584379,0.00064349535],"domain_scores_gemma":[0.9975003,0.00022036444,0.0008912325,0.00087487936,0.000105171355,0.00040806044],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0003108049,0.0006725096,0.001127212,0.0010678617,0.0014305084,0.0005389539,0.0014471014,0.00076107035,0.00019101141],"category_scores_gemma":[0.000024173101,0.0006615736,0.00059192034,0.000492595,0.0016780727,0.0015414971,0.0023277064,0.0009079063,0.000068718924],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000643424,0.00009309132,0.0073768315,0.00018055632,0.00056920596,0.0005749077,0.0004064985,0.002177923,0.00001645567,0.97911173,0.00787845,0.00097089814],"study_design_scores_gemma":[0.0030556787,0.000061986786,0.00093296356,0.00018130493,0.00019471576,0.000084012696,0.0006031098,0.0051410967,0.00009788154,0.012162748,0.9763851,0.0010993736],"about_ca_topic_score_codex":0.003483367,"about_ca_topic_score_gemma":0.00009828727,"teacher_disagreement_score":0.9685067,"about_ca_system_score_codex":0.0008115389,"about_ca_system_score_gemma":0.00072253164,"threshold_uncertainty_score":0.99986947},"labels":[],"label_agreement":null},{"id":"W2147019433","doi":"10.1007/s11146-010-9279-7","title":"Housing Starts in Canada, Japan, and the United States: Do Forecasters Herd?","year":2010,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Herding; Herd behavior; Herd; Economics; Financial economics; Consensus forecast; Econometrics; Geography; Biology","score_opus":0.012842793567403891,"score_gpt":0.1794462263017678,"score_spread":0.1666034327343639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147019433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936603,0.00018719227,0.000024058074,0.0016283332,0.0005207549,0.00012306629,0.00003766772,0.0000026992755,0.0038159753],"genre_scores_gemma":[0.9009812,0.09842067,0.00014732871,0.0003162615,0.00007573815,0.000001653379,0.0000031632512,0.0000222075,0.000031760057],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99859625,0.000032330594,0.0008666485,0.00016204377,0.00002064741,0.00032206374],"domain_scores_gemma":[0.9985104,0.00031355483,0.00083652715,0.00023384296,0.000029141036,0.00007653722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019038264,0.00017135196,0.00049769244,0.0001631195,0.00016344126,0.0001232505,0.00025954912,0.000059138303,0.000013293917],"category_scores_gemma":[0.00004126405,0.00012879897,0.000051021412,0.00011215434,0.00025685734,0.0003181265,0.00007266495,0.00045029708,0.0000031121158],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003540027,0.00010681261,0.567941,0.00014100525,0.00031423356,0.000055616358,0.030394334,0.09018255,0.000008516983,0.049422927,0.002011641,0.2558813],"study_design_scores_gemma":[0.015032296,0.00045983793,0.21221556,0.0001992048,0.00011562302,0.00074083474,0.017546473,0.36495396,0.00005362684,0.08643365,0.30051485,0.0017340841],"about_ca_topic_score_codex":0.45211583,"about_ca_topic_score_gemma":0.67248917,"teacher_disagreement_score":0.35572547,"about_ca_system_score_codex":0.00017392216,"about_ca_system_score_gemma":0.00019582048,"threshold_uncertainty_score":0.55153257},"labels":[],"label_agreement":null},{"id":"W2147180788","doi":"","title":"Forecasting Real Estate Business: Empirical Evidence from the Canadian Market","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Autoregressive integrated moving average; Index (typography); Economics; Liberian dollar; Real estate; Econometrics; Term (time); Sample (material); Autoregressive conditional heteroskedasticity; Financial economics; Price index; Finance; Mathematics; Time series; Volatility (finance); Statistics; Computer science","score_opus":0.05800068247349477,"score_gpt":0.2276630204140225,"score_spread":0.16966233794052774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147180788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88015723,0.0010639123,0.00076869375,0.011083248,0.00065649097,0.00020411987,0.00002024391,0.000026068667,0.106019974],"genre_scores_gemma":[0.97290003,0.024751935,0.00023583269,0.00037998584,0.0006595737,0.000011964648,0.0000058463106,0.000040150764,0.0010146867],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99678993,0.000049372495,0.0005973728,0.00031525161,0.000046737576,0.0022013118],"domain_scores_gemma":[0.9987803,0.00027293814,0.00035282146,0.00029661148,0.00008461891,0.00021269622],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002689815,0.00018804001,0.0002928268,0.00014192922,0.00065408146,0.0005391244,0.0005493126,0.00012001441,0.0010114973],"category_scores_gemma":[0.0005149278,0.00016537083,0.00011583167,0.00025779707,0.00007419139,0.0006655541,0.000053247473,0.0012260976,0.00061773567],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048374903,0.000031952877,0.80823874,0.0000066012194,0.000202631,0.000011542168,0.0012921647,0.00021029169,0.0000033597944,0.009237155,0.0152734155,0.16544376],"study_design_scores_gemma":[0.00069964025,0.00011597683,0.3136994,0.000085837644,0.00002961991,0.0002756124,0.0012915274,0.038041763,0.0000019261925,0.5933726,0.051626254,0.0007598832],"about_ca_topic_score_codex":0.51429206,"about_ca_topic_score_gemma":0.74375767,"teacher_disagreement_score":0.5841354,"about_ca_system_score_codex":0.002145421,"about_ca_system_score_gemma":0.001894226,"threshold_uncertainty_score":0.9999017},"labels":[],"label_agreement":null},{"id":"W2147600535","doi":"10.5539/ibr.v5n3p71","title":"Empirical Study of the Causes of Valuation Variance and Inaccuracy in Nigeria","year":2012,"lang":"en","type":"article","venue":"International Business Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Real estate; Actuarial science; Estate; Business; Economics; Accounting; Finance","score_opus":0.1934530951186768,"score_gpt":0.3949293686862226,"score_spread":0.20147627356754577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147600535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909765,0.0001044078,0.00007247415,0.0005646227,0.00039495123,0.00017755531,0.000010026317,0.0000021018427,0.0076973513],"genre_scores_gemma":[0.99964404,0.00010229391,0.000044128356,0.000012226526,0.00007602317,0.00001586901,0.000001932522,0.000006972677,0.00009652106],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999158,0.00006147887,0.00040496833,0.00013416838,0.00009451351,0.00014686784],"domain_scores_gemma":[0.9992477,0.0002152457,0.00015656764,0.00016654831,0.00019257877,0.000021301004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018317269,0.00004949358,0.00015811481,0.0002906115,0.00003782578,0.000025517447,0.00024095264,0.000039149592,0.000095387855],"category_scores_gemma":[0.0010395246,0.000045583107,0.000017323657,0.00041793866,0.00008246321,0.0002833472,0.00017862255,0.000113942624,0.000012965487],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033555607,0.00035251645,0.99496096,0.000014089195,0.000014657399,2.0592753e-7,0.0016114742,0.000103947146,0.000042588243,0.0024497865,0.00005230122,0.0003639251],"study_design_scores_gemma":[0.0003855,0.000016325132,0.99159265,0.000015382446,7.268143e-7,9.811066e-7,0.00031343417,0.00038401622,0.000051279065,0.006405768,0.00079043413,0.000043496555],"about_ca_topic_score_codex":0.00077044603,"about_ca_topic_score_gemma":0.00027635027,"teacher_disagreement_score":0.008667523,"about_ca_system_score_codex":0.00008838493,"about_ca_system_score_gemma":0.00003238177,"threshold_uncertainty_score":0.18588251},"labels":[],"label_agreement":null},{"id":"W2147651942","doi":"10.3368/le.84.4.667","title":"Rent Capture Analysis of Ontario's Stumpage System Using an Enhanced Parity Bounds Model","year":2008,"lang":"en","type":"article","venue":"Land Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stumpage; Economics; Economic rent; Parity (physics); Agricultural economics; Microeconomics; Econometrics","score_opus":0.05233072105465177,"score_gpt":0.21322855040866623,"score_spread":0.16089782935401445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147651942","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95777476,0.000079853606,0.009539467,0.000011853679,0.0003709869,0.00013810435,0.00021743112,0.00004608203,0.031821445],"genre_scores_gemma":[0.9966484,0.00018017298,0.0024624076,0.00005544048,0.00007756825,0.0000076073375,0.000098980185,0.000038471604,0.00043100075],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978404,0.000015409407,0.0011008242,0.00060566934,0.000022878117,0.00041484006],"domain_scores_gemma":[0.99833715,0.000030987285,0.000715688,0.00070729054,0.00003346235,0.00017541711],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005141003,0.00026479966,0.0011804693,0.00045617507,0.00022476907,0.00007580111,0.00032019644,0.0002255097,0.00017595029],"category_scores_gemma":[0.000012957704,0.00032718547,0.00034682607,0.00019759987,0.000068230336,0.0004585373,0.000077032826,0.00018876164,0.00003620714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075932236,0.00017530008,0.38139907,0.000044822038,0.00077387196,0.0000036360268,0.0043049003,0.603281,0.000023492372,0.009798022,0.000022840803,0.00009713468],"study_design_scores_gemma":[0.0005862721,0.000037575515,0.016200365,0.0000087267545,0.00019029476,0.000006008181,0.00014039742,0.98017913,0.000098665034,0.0013647063,0.0007142259,0.0004736284],"about_ca_topic_score_codex":0.0337703,"about_ca_topic_score_gemma":0.06188765,"teacher_disagreement_score":0.37689814,"about_ca_system_score_codex":0.0012573362,"about_ca_system_score_gemma":0.00020657192,"threshold_uncertainty_score":0.99991804},"labels":[],"label_agreement":null},{"id":"W2147928365","doi":"10.1111/j.1749-124x.2011.01266.x","title":"Size and Characteristic of Housing Bubbles in China's Major Cities: 1999–2010","year":2011,"lang":"en","type":"article","venue":"China & World Economy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"China; Beijing; Quarter (Canadian coin); Speculation; Real estate; Economics; Sample (material); Economic geography; Geography; Finance","score_opus":0.01937577264316213,"score_gpt":0.18417973734958934,"score_spread":0.16480396470642722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147928365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75432366,0.00043886268,0.000079149344,0.00014065279,0.00044172385,0.00017752561,0.00004396717,0.000031801286,0.24432267],"genre_scores_gemma":[0.99672246,0.0003393113,0.0013103558,0.00012237656,0.00012395342,0.00002263453,0.000009828131,0.000052000967,0.0012970655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979916,0.0000165041,0.0010118734,0.00052161934,0.000014088002,0.0004442791],"domain_scores_gemma":[0.9988229,0.00008195481,0.000549531,0.00041468657,0.000009911322,0.000121013465],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000605923,0.0002749655,0.000789324,0.00049415964,0.00009814378,0.000087106244,0.00027416289,0.00010148518,0.0015989194],"category_scores_gemma":[0.00007188421,0.00034914794,0.00011735008,0.00021927833,0.0001836065,0.00050599896,0.0001296144,0.0002279823,0.00011634401],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009616154,0.00017340452,0.9403876,0.00023194468,0.000074447074,0.00001129821,0.003918947,0.000012532738,0.000019953986,0.050547328,0.00031051825,0.0042158477],"study_design_scores_gemma":[0.0009200804,0.000051273404,0.92056346,0.000070828064,0.000011090571,0.0000063560647,0.00011601443,0.0008667746,0.0001258193,0.06318299,0.01355412,0.00053119205],"about_ca_topic_score_codex":0.0019489714,"about_ca_topic_score_gemma":0.0008524558,"teacher_disagreement_score":0.24302562,"about_ca_system_score_codex":0.00011661145,"about_ca_system_score_gemma":0.000029752488,"threshold_uncertainty_score":0.99989605},"labels":[],"label_agreement":null},{"id":"W2149195484","doi":"10.1111/jors.12120","title":"NEW SPORTS FACILITIES AND RESIDENTIAL HOUSING MARKETS","year":2014,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Census tract; Census; Differential (mechanical device); Business; Poverty; Facility management; Economics; Economic growth; Marketing; Environmental health; Engineering; Population; Medicine","score_opus":0.02347682963512575,"score_gpt":0.21175973338265672,"score_spread":0.18828290374753098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149195484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9629267,0.00035543632,0.0054336735,0.0012894514,0.000671168,0.000025862024,0.0000011296629,0.000006011524,0.029290577],"genre_scores_gemma":[0.9941676,0.00040175952,0.0042646234,0.000126949,0.00033917895,1.08722745e-7,1.08833625e-7,0.0000056732656,0.00069400226],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906963,0.000007931553,0.00044500863,0.00017512515,0.00009794995,0.00020435707],"domain_scores_gemma":[0.99912333,0.000055545133,0.00047591797,0.0001111217,0.00005167769,0.00018239826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021269731,0.00007573452,0.00022519473,0.00028561198,0.00015991075,0.00017214903,0.00023984697,0.000035015066,0.000115874],"category_scores_gemma":[0.0001863348,0.00007713384,0.00006360564,0.00015720134,0.000238343,0.00070262403,0.00005356256,0.00010190764,0.000012241983],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037805675,0.0000836269,0.4672565,0.00008011176,0.000052198808,0.000048185477,0.002765065,0.0004937886,0.0005867668,0.31485495,0.031985555,0.1814152],"study_design_scores_gemma":[0.00092248496,0.00014508488,0.4342199,0.00009615998,0.000008555958,0.0004014597,0.0002658331,0.002420734,0.00014135687,0.19753811,0.36343256,0.00040774985],"about_ca_topic_score_codex":0.00008202842,"about_ca_topic_score_gemma":0.0000108821805,"teacher_disagreement_score":0.331447,"about_ca_system_score_codex":0.0000717941,"about_ca_system_score_gemma":0.00012269229,"threshold_uncertainty_score":0.31454268},"labels":[],"label_agreement":null},{"id":"W2149721857","doi":"10.18002/pec.v0i2012.1110","title":"Evolución de los precios de vivienda y de suelo urbano en España = Evolution in prices of housing and urban soil in Spain","year":2012,"lang":"es","type":"article","venue":"Pecvnia Revista de la Facultad de Ciencias Económicas y Empresariales Universidad de León","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Christian ministry; Humanities; Political science; Geography; Quarter (Canadian coin); Art; Archaeology","score_opus":0.012226317466092816,"score_gpt":0.2427670859506573,"score_spread":0.23054076848456448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149721857","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9761446,0.0058668964,0.0084959045,0.00024402843,0.0001536558,0.00057246606,0.0002743987,0.00006276557,0.008185262],"genre_scores_gemma":[0.98900956,0.004037611,0.0060784873,0.0001452217,0.0003867777,0.000019760088,0.000021548918,0.00010154548,0.00019947956],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9945233,0.00087549514,0.0014043755,0.0009479545,0.00012260753,0.0021263103],"domain_scores_gemma":[0.99632734,0.001282967,0.0011093193,0.0005981646,0.00007485201,0.000607386],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0072288727,0.0006369957,0.0013223131,0.0014808531,0.00025530017,0.00053039,0.0008689308,0.0010053565,0.00011224599],"category_scores_gemma":[0.0016558757,0.00088879414,0.0003127114,0.00092576625,0.0005557145,0.0012600329,0.00037604762,0.0009088504,0.000024663757],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030045063,0.00039588468,0.94953716,0.00059812237,0.00009719057,0.000054600845,0.013473889,0.005145178,0.0017893087,0.026815118,0.0002911339,0.001501981],"study_design_scores_gemma":[0.0029354678,0.00014160515,0.91598326,0.00066643325,0.00016374796,0.00013931002,0.0023189397,0.054433722,0.00054926425,0.002945191,0.018484367,0.001238694],"about_ca_topic_score_codex":0.0050415345,"about_ca_topic_score_gemma":0.001138113,"teacher_disagreement_score":0.049288545,"about_ca_system_score_codex":0.007851899,"about_ca_system_score_gemma":0.0012994745,"threshold_uncertainty_score":0.99935627},"labels":[],"label_agreement":null},{"id":"W2149815564","doi":"10.5539/ijef.v4n7p88","title":"Impacts of Local Government Land Leasing Revenue on House Price - Based on National and Regional Panel Data Analysis","year":2012,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Revenue; Government revenue; Local government; Panel data; Order (exchange); Government (linguistics); House price; Land price; Economics; Business; Total revenue; Public economics; Finance; Agricultural economics; Econometrics; Geography","score_opus":0.06294307229157929,"score_gpt":0.24843172538009375,"score_spread":0.18548865308851448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149815564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99243706,0.00060636504,0.001814089,0.0011730511,0.00045906767,0.000046469355,0.0007257939,0.0000022554486,0.0027358562],"genre_scores_gemma":[0.9940563,0.0039326614,0.0011453435,0.0005177158,0.00028658862,8.274699e-7,0.000015938209,0.000015906515,0.000028735894],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988785,0.00001289156,0.00066326885,0.00021582078,0.000073401396,0.00015613834],"domain_scores_gemma":[0.9984664,0.00018088387,0.0010322247,0.00018776527,0.00005983968,0.00007289959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001085565,0.00012363134,0.0003649731,0.00024959253,0.000043102784,0.00006348448,0.00030345394,0.000065728505,0.000023477285],"category_scores_gemma":[0.0001166235,0.00013623168,0.00009366147,0.00006941123,0.00007661737,0.0004273605,0.000075870805,0.00013176686,0.000008617255],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019809017,0.0011907945,0.5752826,0.0000523844,0.0020572594,0.000015740123,0.00059739914,0.15120716,0.00001071353,0.23238209,0.004092891,0.031130066],"study_design_scores_gemma":[0.003111155,0.0003721985,0.48089686,0.00016685681,0.00010433046,0.000078302306,0.0000840633,0.35387015,0.000089057416,0.010603457,0.15004836,0.00057521265],"about_ca_topic_score_codex":0.000064991116,"about_ca_topic_score_gemma":0.000032817734,"teacher_disagreement_score":0.22177863,"about_ca_system_score_codex":0.00022969888,"about_ca_system_score_gemma":0.00004995995,"threshold_uncertainty_score":0.5555367},"labels":[],"label_agreement":null},{"id":"W2150253307","doi":"10.7202/601050ar","title":"Le marché immobilier : quelques perspectives à long terme pour la région de Trois-Rivières","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Real estate; Economics; Inefficiency; Price index; Database transaction; Inflation (cosmology); Population; Monetary economics; Econometrics; Demography; Microeconomics; Finance","score_opus":0.02226980608522242,"score_gpt":0.22166096889896425,"score_spread":0.19939116281374183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150253307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84672153,0.0003550074,0.0035032746,0.0063731037,0.0001178965,0.00022469445,0.000034849414,0.00015370651,0.14251596],"genre_scores_gemma":[0.9933844,0.0007221734,0.001928488,0.001018951,0.00033555157,0.00003163032,0.000013825381,0.000054966673,0.0025099732],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979757,0.00008438622,0.0006861688,0.0006604075,0.000014514493,0.00057878776],"domain_scores_gemma":[0.9987486,0.00022280983,0.00031992793,0.0004976273,0.000029362607,0.00018169232],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009995631,0.00030371003,0.00059657556,0.00027390636,0.00016161466,0.00027927046,0.0003774422,0.00025946903,0.00026220706],"category_scores_gemma":[0.00020278475,0.0003401414,0.00027057252,0.00009586226,0.00012075385,0.0005686558,0.000066247885,0.00028383973,0.00034374965],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013290998,0.00043651872,0.0772514,0.000039903814,0.00010980141,0.000021914222,0.006859672,0.00019425899,0.0002645787,0.8948143,0.001147698,0.018727057],"study_design_scores_gemma":[0.0015515891,0.00019959545,0.40029004,0.00006269228,0.00001618046,0.000069301,0.0013423226,0.003188993,0.0011372719,0.5418728,0.049073555,0.0011956214],"about_ca_topic_score_codex":0.0012091474,"about_ca_topic_score_gemma":0.0005125481,"teacher_disagreement_score":0.35294148,"about_ca_system_score_codex":0.0003623305,"about_ca_system_score_gemma":0.00014873623,"threshold_uncertainty_score":0.99990505},"labels":[],"label_agreement":null},{"id":"W2151696530","doi":"10.1111/j.1541-1338.2005.00175.x","title":"Hedonic Estimation and Policy Significance of the Impact of HOPE VI on Neighborhood Property Values","year":2005,"lang":"en","type":"article","venue":"Review of Policy Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Property value; Mile; Quarter (Canadian coin); Property (philosophy); Residential property; Unit (ring theory); Public housing; Order (exchange); Public economics; Economic growth; Economics; Sociology; Regional science; Geography; Mathematics; Finance; Demography; Archaeology; Mathematics education","score_opus":0.0923524661742904,"score_gpt":0.39242464077542305,"score_spread":0.30007217460113267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151696530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5523273,0.05024018,0.0000647903,0.019245293,0.00006675872,0.0025552944,0.0003249041,0.000019973497,0.37515554],"genre_scores_gemma":[0.9169463,0.082394,0.00012703195,0.00009399978,0.00014371707,0.000015318252,0.0000020569255,0.000016807475,0.00026075964],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9985386,0.00012029709,0.0007393477,0.00021868171,0.000085570195,0.0002974993],"domain_scores_gemma":[0.9986608,0.00018741265,0.00044204976,0.00053530204,0.00010445543,0.000069985705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023756532,0.00011503552,0.00056316075,0.00038054763,0.000065443004,0.000017915485,0.00035079636,0.00005055843,0.00008658416],"category_scores_gemma":[0.0017647443,0.00007430694,0.00019448034,0.00075222895,0.00025907363,0.0001341167,0.00011937119,0.00017811461,0.00003929786],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013749246,0.000680301,0.027992876,0.013484648,0.00022299135,3.6650874e-7,0.0009820786,0.0013770856,0.00052140286,0.26093584,0.006068448,0.68759644],"study_design_scores_gemma":[0.0056368075,0.005692948,0.3895083,0.033014737,0.00010170549,0.000045053992,0.00018034372,0.16093467,0.011094577,0.31645018,0.07501184,0.0023288096],"about_ca_topic_score_codex":0.0032271622,"about_ca_topic_score_gemma":0.000015058301,"teacher_disagreement_score":0.6852676,"about_ca_system_score_codex":0.00028995884,"about_ca_system_score_gemma":0.00041677503,"threshold_uncertainty_score":0.48785254},"labels":[],"label_agreement":null},{"id":"W2151860832","doi":"10.5539/ijef.v3n4p14","title":"Property Tax Capitalization within a National Historic District versus Property Tax Capitalization outside that National Historic District: Another Application of the Tiebout Hypothesis","year":2011,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Tiebout model; Capitalization; Property tax; Metropolitan area; Property (philosophy); Landmark; Economics; House price; Public economics; Business; Agricultural economics; Geography; Tax reform; Econometrics; Microeconomics; Public good; Cartography","score_opus":0.05223719891816221,"score_gpt":0.20130017475590917,"score_spread":0.14906297583774697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151860832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84866333,0.0023645263,0.019329976,0.0027033591,0.012345028,0.0011810926,0.0012800326,0.000038242215,0.112094425],"genre_scores_gemma":[0.99486357,0.0019503096,0.0011307554,0.00013144233,0.0003568828,0.000024327872,0.000024898924,0.000035783854,0.0014820436],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99810886,0.000025437117,0.001196525,0.00034815556,0.00014116263,0.00017983146],"domain_scores_gemma":[0.9966501,0.000075162796,0.0025474215,0.00019701492,0.0004829111,0.00004736843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007143531,0.00022428311,0.00039970616,0.00031914905,0.0001336104,0.000082003244,0.0005969983,0.0001389638,0.000067246976],"category_scores_gemma":[0.00028820228,0.00017212222,0.00019660933,0.00016365528,0.00014138083,0.00068640034,0.000088480956,0.00015774659,0.000016014168],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024409639,0.001788737,0.20342474,0.00013211035,0.0013869695,0.000010367488,0.008175118,0.03385332,0.00012642285,0.6810493,0.020646354,0.046965588],"study_design_scores_gemma":[0.008826541,0.00065636286,0.16018872,0.00022248828,0.0001538309,0.00019214924,0.00033665818,0.23046012,0.0013230343,0.18338463,0.4121385,0.0021169693],"about_ca_topic_score_codex":0.00042571055,"about_ca_topic_score_gemma":0.00017205383,"teacher_disagreement_score":0.4976647,"about_ca_system_score_codex":0.0013378109,"about_ca_system_score_gemma":0.00023939993,"threshold_uncertainty_score":0.70189404},"labels":[],"label_agreement":null},{"id":"W2152167985","doi":"","title":"Net Worth of the Household Sector, 1970 to 2012: A Canada-United States Comparison","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Purchasing power parity; Per capita; Economics; Net worth; Balance sheet; Net income; Per capita income; Flow of funds; Demographic economics; Econometrics; Finance; Demography; Exchange rate","score_opus":0.0673154508860224,"score_gpt":0.27066320308607034,"score_spread":0.20334775220004794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152167985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9117754,0.00054678787,0.000013430416,0.0009109655,0.0021886749,0.00106044,0.0014186522,0.000033698503,0.08205196],"genre_scores_gemma":[0.9929985,0.0041709538,0.00025019972,0.00038814062,0.00032269506,0.00013456348,0.00019247254,0.00014253648,0.0013999491],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99540335,0.0001682465,0.0019113616,0.001018022,0.00012751216,0.0013715071],"domain_scores_gemma":[0.9961803,0.0004760347,0.00092212675,0.001922493,0.00008378772,0.00041528355],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0027814999,0.00048890244,0.0013747081,0.0009627004,0.0002105962,0.00016820284,0.001674193,0.0004827473,0.0003213261],"category_scores_gemma":[0.00035516906,0.0005346443,0.00028172278,0.0004632237,0.00025213396,0.00015068836,0.0018610825,0.00184421,0.00002978491],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023334932,0.00046248522,0.7122681,0.00046404154,0.00037970705,0.0000067976584,0.0020761746,0.24666505,0.000008153132,0.0038206156,0.011648033,0.0219675],"study_design_scores_gemma":[0.0009941547,0.00008625452,0.16133311,0.0003265073,0.000020551652,0.0000050006724,0.00065751275,0.03091814,0.00009655833,0.004927828,0.79913104,0.0015033144],"about_ca_topic_score_codex":0.22184463,"about_ca_topic_score_gemma":0.47336093,"teacher_disagreement_score":0.78748304,"about_ca_system_score_codex":0.0023699263,"about_ca_system_score_gemma":0.00087006757,"threshold_uncertainty_score":0.9997105},"labels":[],"label_agreement":null},{"id":"W2152810650","doi":"10.3138/cpp.34.1.001","title":"Who Cares About Mortgage Interest Deductibility?","year":2008,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Taxable income; Deductible; Tax deduction; Balance sheet; Position (finance); Debt; Economics; Liability; Interest rate; Gross income; Business; Finance; Monetary economics; Actuarial science; Public economics; State income tax; Tax reform; Accounting","score_opus":0.07526219398786624,"score_gpt":0.23081852216616192,"score_spread":0.15555632817829568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152810650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6332984,0.0003314201,0.000027267703,0.005613824,0.0005373239,0.00011005214,0.00020043664,0.00005084077,0.35983044],"genre_scores_gemma":[0.99177074,0.00036947208,0.00005965127,0.002282835,0.00073208037,0.000014570231,0.000035711066,0.000045696022,0.0046892525],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99814075,0.000017338478,0.0005047302,0.0004650117,0.00001881088,0.0008533549],"domain_scores_gemma":[0.9982086,0.000025822033,0.00014911429,0.00063050253,0.00003989424,0.0009460718],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00034614853,0.00019470118,0.00038149036,0.0011052112,0.00038946938,0.00018740373,0.00045230228,0.00015944235,0.0009343469],"category_scores_gemma":[0.0005745886,0.00026088653,0.00013009974,0.00046066687,0.00021825146,0.0004987327,0.000053744803,0.00021427411,0.0011702563],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028323634,0.000024974377,0.20134804,0.000017204944,0.000040683048,0.000033429154,0.0007815385,0.00000428014,0.0000012403545,0.738405,0.053854704,0.005486074],"study_design_scores_gemma":[0.0002605143,0.000021771995,0.06769158,0.0000064530986,0.0000016988371,0.00005725095,0.000060650014,0.00031916253,0.000010021356,0.013458306,0.9177022,0.0004103784],"about_ca_topic_score_codex":0.33182898,"about_ca_topic_score_gemma":0.40738377,"teacher_disagreement_score":0.8638475,"about_ca_system_score_codex":0.0011627026,"about_ca_system_score_gemma":0.0015913841,"threshold_uncertainty_score":0.9999843},"labels":[],"label_agreement":null},{"id":"W2153541381","doi":"10.1111/joes.12117","title":"COMMERCIAL PROPERTY PRICE INDEXES AND THE SYSTEM OF NATIONAL ACCOUNTS","year":2015,"lang":"en","type":"article","venue":"Journal of Economic Surveys","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Australian Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Price index; Economics; Depreciation (economics); Property (philosophy); National accounts; Index (typography); Econometrics; Industrial production index; Productivity; Service (business); Production (economics); Microeconomics; Macroeconomics; Economy; Computer science","score_opus":0.07234769479175818,"score_gpt":0.24053267289230443,"score_spread":0.16818497810054625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153541381","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88820213,0.00046116742,0.0004932421,0.0005865414,0.001597271,0.00014246603,0.00006924577,0.000006410556,0.108441494],"genre_scores_gemma":[0.9990616,0.00014905391,0.00016716504,0.000065500295,0.0003653121,0.0000022263896,0.0000017035346,0.00001530356,0.00017214942],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983731,0.00015428347,0.0011486197,0.0001334064,0.0000417532,0.0001488636],"domain_scores_gemma":[0.9978825,0.00029080448,0.001464032,0.00013792078,0.00013085695,0.00009387131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013127553,0.000112995476,0.0006111867,0.00018828012,0.000061728286,0.00008119332,0.00029270546,0.000079304904,0.00004354117],"category_scores_gemma":[0.00034836822,0.00007933643,0.00012086515,0.000055465018,0.00015870127,0.0003963351,0.0000691341,0.00015303797,0.00006281264],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082883576,0.00013923943,0.8341545,0.00011245687,0.00052801135,0.00000419916,0.0022996543,0.0022407891,0.000003566434,0.14042524,0.012508042,0.0067554615],"study_design_scores_gemma":[0.036586612,0.0007648597,0.70443046,0.00028790996,0.000097349264,0.0007647598,0.0034358518,0.05090732,0.000117470576,0.09776716,0.10316206,0.0016782017],"about_ca_topic_score_codex":0.0004213782,"about_ca_topic_score_gemma":0.0001006317,"teacher_disagreement_score":0.12972407,"about_ca_system_score_codex":0.00034240566,"about_ca_system_score_gemma":0.00019432949,"threshold_uncertainty_score":0.45497742},"labels":[],"label_agreement":null},{"id":"W2154475797","doi":"","title":"Hobby Farm's and British Columbia's Agricultural Land Reserve","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hobby; Zoning; Agriculture; Agricultural land; Agricultural economics; Geography; Land use; Trophy; Business; Economics; Civil engineering; Engineering","score_opus":0.03300798946939287,"score_gpt":0.24655504272456816,"score_spread":0.21354705325517528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154475797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6654238,0.0008132099,0.0000010641584,0.00018588055,0.00061676954,0.00057767704,0.00039222834,0.000055032386,0.33193433],"genre_scores_gemma":[0.8472881,0.14120726,0.00054055965,0.00009993834,0.00056965323,0.00022730706,0.00024694327,0.00014150166,0.009678759],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99517614,0.00012991679,0.0014920541,0.0018251607,0.00008670786,0.00129003],"domain_scores_gemma":[0.99762505,0.00033003787,0.0005411031,0.0010331541,0.000092327435,0.00037830713],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0022067542,0.00040606878,0.0013634595,0.00042940417,0.0004569235,0.0017055819,0.00088931294,0.0009194417,0.00027339216],"category_scores_gemma":[0.0005185285,0.0006983636,0.0002947353,0.00019224669,0.00055623834,0.00024903318,0.0017461965,0.0021114608,0.000070696464],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007828797,0.00033607942,0.8351867,0.00045491286,0.00028682544,0.00021656304,0.00067942735,0.0019743768,0.0000038973085,0.0006848183,0.0033203538,0.15677771],"study_design_scores_gemma":[0.0036038563,0.00026889963,0.66778374,0.0006044822,0.00001802471,0.0003734893,0.00071970985,0.013724166,0.000005833001,0.034407012,0.27536148,0.0031293111],"about_ca_topic_score_codex":0.029617332,"about_ca_topic_score_gemma":0.11698336,"teacher_disagreement_score":0.32225558,"about_ca_system_score_codex":0.0010647589,"about_ca_system_score_gemma":0.00021065393,"threshold_uncertainty_score":0.99954677},"labels":[],"label_agreement":null},{"id":"W2154550924","doi":"10.1109/isa.2011.5873458","title":"A Positive Research on the Dynamic Relationship between the Interest Rate and Real Estate Price in China","year":2011,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Distributed lag; Interest rate; Lag; Autoregressive model; Quarter (Canadian coin); Economics; Capitalization rate; Real interest rate; Econometrics; China; Real estate investment trust; Monetary economics; Finance; Computer science; Geography","score_opus":0.1897086817403569,"score_gpt":0.30535402540379686,"score_spread":0.11564534366343995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154550924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6321676,0.0000073193137,0.00005875257,0.0016064628,0.000037699134,0.00016044544,0.000010655951,0.000008651041,0.36594245],"genre_scores_gemma":[0.9986727,0.00044967572,0.00006544059,0.00006764656,0.000023872308,0.00001755859,0.0000045451457,0.00001612589,0.0006824371],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897647,0.00014233346,0.00032818617,0.00026539704,0.000016424505,0.00027121906],"domain_scores_gemma":[0.99832994,0.0012217761,0.00010202645,0.0002916032,0.000013257268,0.000041394855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037736902,0.00009318754,0.000157795,0.00021040614,0.00024115985,0.00009433657,0.00023816183,0.00006403264,0.00010590061],"category_scores_gemma":[0.00028100103,0.000065043474,0.000030549258,0.0002585974,0.00016152066,0.00013722872,0.00010616991,0.0004153459,0.00027565117],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050424132,0.000028688628,0.64671516,0.0000049505165,0.00001486452,0.000002173179,0.004464307,0.0000037689092,6.4470845e-7,0.34690002,0.00008604364,0.0017289488],"study_design_scores_gemma":[0.00013891044,0.000058070746,0.91111887,0.000010513528,0.0000012662913,7.148931e-7,0.00037952667,0.0021523617,0.000003950291,0.08585863,0.00019300696,0.00008417997],"about_ca_topic_score_codex":0.0034797858,"about_ca_topic_score_gemma":0.001765312,"teacher_disagreement_score":0.36650515,"about_ca_system_score_codex":0.000114075316,"about_ca_system_score_gemma":0.000016896405,"threshold_uncertainty_score":0.5260418},"labels":[],"label_agreement":null},{"id":"W2154794262","doi":"10.5539/ass.v7n9p207","title":"Research on Chinese Real Estate Development and the Future Trends","year":2011,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; China; Real estate development; Government (linguistics); Chinese economy; Real estate investment trust; Business; Estate; Scale (ratio); Finance; Political science; Geography; Cartography","score_opus":0.06007144768710142,"score_gpt":0.29383050481763584,"score_spread":0.2337590571305344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154794262","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28466684,0.000010102677,0.000005499732,0.0008433673,0.00022743082,0.00004040462,0.0000024103574,0.000011400901,0.71419257],"genre_scores_gemma":[0.99849534,0.00025854842,0.00031114678,0.00007511474,0.00024219832,0.000010406918,7.7455036e-7,0.000007860927,0.0005986091],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9990097,0.00002491457,0.00021622951,0.0003171025,0.000064846485,0.00036718856],"domain_scores_gemma":[0.9996308,0.000029469671,0.00008732808,0.0001511386,0.000023424485,0.00007785027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003319075,0.00008130183,0.00015989499,0.00022882356,0.001051984,0.0001322223,0.00037371964,0.00004999402,0.00010001781],"category_scores_gemma":[0.000031558895,0.00006291898,0.000031905332,0.00074348674,0.0010008169,0.00019138615,0.00011742917,0.00017655025,0.00014033481],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045113145,0.00002168481,0.006144049,0.0000018974648,0.000004415236,0.0000014418919,0.025291514,4.9479507e-8,5.859117e-7,0.35121852,0.00018961584,0.6170811],"study_design_scores_gemma":[0.0005918935,0.00003570187,0.90959644,0.000002632615,9.560471e-7,0.0000014947983,0.0033407416,0.000061268685,0.000013385519,0.0337827,0.052381612,0.00019118232],"about_ca_topic_score_codex":0.00024026094,"about_ca_topic_score_gemma":0.00021717878,"teacher_disagreement_score":0.9034524,"about_ca_system_score_codex":0.00011931249,"about_ca_system_score_gemma":0.000059031565,"threshold_uncertainty_score":0.8091117},"labels":[],"label_agreement":null},{"id":"W2155536714","doi":"","title":"PRICE DISCRIMINATION IN THE HOUSING MARKET","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Metropolitan area; Racial composition; Race (biology); Quality (philosophy); Prejudice (legal term); Price discrimination; Demographic economics; Panel data; Business; Economics; Marketing; Econometrics; Geography; Political science","score_opus":0.019359196069780562,"score_gpt":0.2163747121797127,"score_spread":0.19701551610993215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155536714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.743241,0.004030834,0.00830002,0.0016979615,0.0006943269,0.00013917513,0.0000028722654,0.000017006467,0.2418768],"genre_scores_gemma":[0.9947215,0.0040305774,0.00009050135,0.00019182388,0.00045054336,0.000004484465,0.0000018781321,0.00001931102,0.00048939046],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977257,0.00004878268,0.00039850659,0.00012502572,0.000032878495,0.001669092],"domain_scores_gemma":[0.99948746,0.00006027342,0.00024625362,0.00015348595,0.000009439763,0.000043071872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066417055,0.0001052777,0.00016876035,0.00018514988,0.00016605476,0.000108380984,0.00026405207,0.000061360006,0.000114281975],"category_scores_gemma":[0.00009976873,0.00009414745,0.000080028454,0.00017986854,0.00002351694,0.00057360815,0.000023111947,0.0008667139,0.00011839778],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027726644,0.00013884323,0.1722718,0.000006643882,0.00002741308,9.237648e-7,0.0019093079,0.000023418534,0.000003007136,0.80473816,0.00049359555,0.02035914],"study_design_scores_gemma":[0.00092302746,0.00010109038,0.124127254,0.000018974568,0.000014456984,0.00029516584,0.0060187383,0.0014493737,0.0000056045455,0.8105782,0.056007907,0.0004601552],"about_ca_topic_score_codex":0.00008280687,"about_ca_topic_score_gemma":0.0003843245,"teacher_disagreement_score":0.2514805,"about_ca_system_score_codex":0.00086936995,"about_ca_system_score_gemma":0.00011889396,"threshold_uncertainty_score":0.38392216},"labels":[],"label_agreement":null},{"id":"W215580921","doi":"10.1111/jmcb.12307","title":"Housing and Tax Policy","year":2016,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Depreciation (economics); Economics; Collateral; Renting; Allowance (engineering); Tax credit; Monetary economics; Tax reform; Tax policy; Revenue; Ad valorem tax; Tax Reform Act; Tax revenue; State income tax; Microeconomics; Macroeconomics; Public economics; Gross income; Finance","score_opus":0.022091552623055625,"score_gpt":0.214914237488808,"score_spread":0.19282268486575238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W215580921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9825458,0.0013592584,0.0024618416,0.002629851,0.00048401472,0.000028262786,0.000010612216,0.0000075407506,0.010472837],"genre_scores_gemma":[0.99403167,0.0034726555,0.0009856643,0.00012510564,0.0012305254,2.9818827e-7,1.5328746e-7,0.000015372247,0.0001385332],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99917203,0.000007945941,0.00048540375,0.00012703128,0.000024257866,0.00018332068],"domain_scores_gemma":[0.99923205,0.00007705437,0.0004916946,0.00008121056,0.000024464009,0.00009352888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065905123,0.00009312985,0.00030126958,0.00030231118,0.0000928147,0.00009956955,0.00008253361,0.00006549802,0.000060649953],"category_scores_gemma":[0.00016575158,0.00007499459,0.00005919859,0.00006702694,0.00006244387,0.00040433623,0.00004968752,0.00008961642,0.000008825708],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017105498,0.000070734866,0.514089,0.00007106195,0.00019211177,0.000055803102,0.0012591764,0.00001582547,0.0015429475,0.06113838,0.005469536,0.41592437],"study_design_scores_gemma":[0.0058529354,0.00059337344,0.18857163,0.0006678141,0.00006379186,0.00068515755,0.0002561824,0.0011847895,0.0007352349,0.47886196,0.32139528,0.0011318572],"about_ca_topic_score_codex":0.000038597824,"about_ca_topic_score_gemma":0.000006593698,"teacher_disagreement_score":0.4177236,"about_ca_system_score_codex":0.00006075307,"about_ca_system_score_gemma":0.00002501283,"threshold_uncertainty_score":0.30581906},"labels":[],"label_agreement":null},{"id":"W2155952068","doi":"10.1016/j.envsci.2004.08.003","title":"Hedonic analysis of hazardous waste sites in the presence of other urban disamenities","year":2004,"lang":"en","type":"article","venue":"Environmental Science & Policy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":67,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Hazardous waste; Omitted-variable bias; Zoning; Municipal solid waste; Superfund; Pollution; Environmental science; Property value; Environmental quality; Natural resource economics; Econometrics; Economics; Waste management; Engineering; Civil engineering; Real estate","score_opus":0.017077737908725934,"score_gpt":0.21877103124869038,"score_spread":0.20169329333996444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155952068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986589,0.00016217463,0.00006051561,0.00031695628,0.000031698626,0.00008986896,0.00008625773,0.0000028594786,0.012660664],"genre_scores_gemma":[0.99946934,0.00012978216,0.00012358635,0.00012727028,0.000035494624,0.0000054227894,0.0000027646356,0.0000064280935,0.00009990163],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988764,0.000014552415,0.0004733731,0.0002722295,0.0000897982,0.00027365467],"domain_scores_gemma":[0.9992104,0.000056228033,0.00028827612,0.0004017871,0.0000020587645,0.000041248346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008940815,0.00009521535,0.00029670956,0.0006335726,0.000078262194,0.00004189776,0.0006230041,0.000030948915,0.0001430552],"category_scores_gemma":[0.000085493724,0.0000846434,0.0001228782,0.0010723908,0.00096158433,0.00028895968,0.000108808184,0.0000623374,0.000034305038],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012643728,0.00027725304,0.8824736,0.000007538761,0.000060116497,9.88013e-7,0.015098541,0.022198195,0.0027412886,0.07610311,0.000016822967,0.001009896],"study_design_scores_gemma":[0.00070925447,0.00017262,0.94666153,0.00001607662,0.000051319974,0.000002742928,0.005132786,0.0064504077,0.0047839987,0.033221718,0.0023675412,0.00043000106],"about_ca_topic_score_codex":0.0019837732,"about_ca_topic_score_gemma":0.0001952109,"teacher_disagreement_score":0.06418793,"about_ca_system_score_codex":0.00024624786,"about_ca_system_score_gemma":0.00003373822,"threshold_uncertainty_score":0.35429975},"labels":[],"label_agreement":null},{"id":"W2156158318","doi":"10.1177/109114210002800305","title":"On the Incentive Effects of Municipal Tax Credits","year":2000,"lang":"en","type":"article","venue":"Public Finance Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Tax credit; Liability; Business; Work (physics); Ad valorem tax; Subsidy; Property tax; Tax reform; Finance; Public economics; Investment (military); Incentive; State income tax; Value-added tax; Economics; Double taxation; Microeconomics; Market economy; Engineering","score_opus":0.027666680033648024,"score_gpt":0.21681298650118816,"score_spread":0.18914630646754013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156158318","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3005861,0.14452203,0.000070988666,0.008638707,0.0007422125,0.0011633119,0.00008238719,0.00004820328,0.54414606],"genre_scores_gemma":[0.5467302,0.4499195,0.00007382017,0.001728967,0.000073917254,0.00009774679,0.0000076489905,0.00002249664,0.0013456867],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99868125,0.000046479036,0.0006126911,0.00030345746,0.000034834862,0.000321278],"domain_scores_gemma":[0.9986683,0.00027967853,0.00037802284,0.00060768763,0.000024409996,0.000041916275],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009191661,0.00016119254,0.0005948463,0.00006456954,0.000098167926,0.00003817082,0.000464357,0.0000627868,0.0019038371],"category_scores_gemma":[0.0005862665,0.00013669995,0.00018718121,0.00036346115,0.000097241485,0.00020139213,0.000045814446,0.00017171826,0.0014217953],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013861924,0.00021664376,0.0012220417,0.0017789996,0.00006200933,0.0000035060525,0.00018230086,0.000013631228,5.59698e-7,0.6038827,0.03413778,0.358486],"study_design_scores_gemma":[0.00022720027,0.00006569855,0.0027158717,0.001167754,0.000009222193,0.0000015000056,0.00000225496,0.00037612877,0.000012534166,0.01092667,0.98429483,0.00020035685],"about_ca_topic_score_codex":0.000057468853,"about_ca_topic_score_gemma":0.000009693324,"teacher_disagreement_score":0.95015705,"about_ca_system_score_codex":0.00006700261,"about_ca_system_score_gemma":0.000025752483,"threshold_uncertainty_score":0.99935573},"labels":[],"label_agreement":null},{"id":"W2156378058","doi":"10.1177/0042098008091491","title":"Moving Window Approaches for Hedonic Price Estimation: An Empirical Comparison of Modelling Techniques","year":2008,"lang":"en","type":"article","venue":"Urban Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":152,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Econometrics; Real estate; Computer science; Kriging; Estimation; Relevance (law); Focus (optics); Market segmentation; Window (computing); Regression; Hedonic regression; Segmentation; Hedonic pricing; Data mining; Economics; Artificial intelligence; Machine learning; Statistics; Mathematics","score_opus":0.2997074876328865,"score_gpt":0.3240557502333201,"score_spread":0.0243482626004336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156378058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6558635,0.00743656,0.32217133,0.00024151146,0.00021561954,0.00048176086,0.000033744018,0.00014268451,0.013413295],"genre_scores_gemma":[0.93398356,0.00036188826,0.06527404,0.000034188586,0.0001233365,0.000055579738,0.000011918014,0.000023778279,0.00013171682],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877596,0.0000077304385,0.0006496196,0.0003147557,0.000026445961,0.00022547752],"domain_scores_gemma":[0.9992022,0.00013212199,0.00035043765,0.00023051737,0.000044513217,0.000040238097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044090408,0.00014730913,0.00062515377,0.00014516468,0.00024646736,0.000021502245,0.00015936756,0.000078247824,0.0000057328516],"category_scores_gemma":[0.00008503445,0.00016708678,0.00010416415,0.00011141362,0.00013324582,0.0002519475,0.000060525155,0.00008352916,0.000008522909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019833857,0.00098424,0.7441848,0.00071237335,0.00065731053,0.000002169804,0.042715315,0.12193255,0.000013603041,0.057541046,0.010587506,0.020470755],"study_design_scores_gemma":[0.00038446323,0.00023709601,0.002146632,0.000034883753,0.00001967468,0.0000035531011,0.001009883,0.96709806,0.00059082435,0.02006395,0.008007079,0.00040387872],"about_ca_topic_score_codex":0.000015695956,"about_ca_topic_score_gemma":0.0000068282693,"teacher_disagreement_score":0.84516555,"about_ca_system_score_codex":0.000099580604,"about_ca_system_score_gemma":0.00001882419,"threshold_uncertainty_score":0.68136007},"labels":[],"label_agreement":null},{"id":"W2157638220","doi":"10.1111/jofi.12035","title":"Pricing Model Performance and the Two‐Pass Cross‐Sectional Regression Methodology","year":2013,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":319,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Capital asset pricing model; Econometrics; Statistic; Consumption-based capital asset pricing model; Cross-sectional regression; Economics; Regression; Sample (material); Regression analysis; Consumption (sociology); Arbitrage pricing theory; Linear regression; Statistics; Mathematics; Polynomial regression","score_opus":0.07324650361472411,"score_gpt":0.27217131369976,"score_spread":0.19892481008503587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157638220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97535205,0.0009816753,0.012549811,0.001068069,0.00042941066,0.000097144184,0.0000017531916,0.0000045666457,0.00951555],"genre_scores_gemma":[0.98818374,0.0061442186,0.0044952338,0.0002821561,0.0001836099,0.000004025538,1.8507674e-7,0.000012251428,0.00069457386],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989444,0.00006968488,0.00064400793,0.00011291028,0.00003363401,0.00019536683],"domain_scores_gemma":[0.9983632,0.00047031982,0.0008818677,0.0002024921,0.000053044707,0.00002905005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038791676,0.00010514856,0.0003196478,0.000076649805,0.0002881143,0.00008281001,0.00032159145,0.00005779503,0.00005140128],"category_scores_gemma":[0.00022734555,0.000062137406,0.0000821971,0.00008202046,0.00025658883,0.00042424584,0.00007210652,0.00031944888,0.000046798614],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018475589,0.00011110175,0.5370707,0.000100030105,0.00020535378,0.0000035227124,0.006325981,0.22245537,0.000298035,0.15435041,0.0047418107,0.072490126],"study_design_scores_gemma":[0.0022352326,0.000078913115,0.328239,0.00004110436,0.000012164994,0.00023318031,0.00004769772,0.53940815,0.000106150634,0.12556441,0.0038372613,0.00019672098],"about_ca_topic_score_codex":0.000076933335,"about_ca_topic_score_gemma":0.000004203408,"teacher_disagreement_score":0.3169528,"about_ca_system_score_codex":0.000052230513,"about_ca_system_score_gemma":0.000026592492,"threshold_uncertainty_score":0.25338897},"labels":[],"label_agreement":null},{"id":"W2158480237","doi":"","title":"Housing and the Great Recession: A VAR Accounting Exercise","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Vector autoregression; Recession; Real gross domestic product; Gross domestic product; Shock (circulatory); Investment (military); Quarter (Canadian coin); Monetary economics; Labour economics; Macroeconomics; Geography","score_opus":0.01982911516695306,"score_gpt":0.1944770758690786,"score_spread":0.17464796070212552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158480237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.868356,0.014750801,0.005223426,0.0008237127,0.00081584556,0.00021114007,0.0000028376073,0.00005217376,0.10976409],"genre_scores_gemma":[0.96581924,0.03294338,0.00028052786,0.000113437374,0.00023853623,0.000004431085,5.6062567e-7,0.000030874093,0.00056902814],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980571,0.000023926632,0.00046267596,0.00022726739,0.000025980202,0.0012030385],"domain_scores_gemma":[0.9993032,0.00003955072,0.00038918722,0.0001892532,0.000020342526,0.00005843575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037065584,0.00014267441,0.00032479115,0.00013079,0.00044666877,0.00015961395,0.00025518634,0.00008111446,0.0001597661],"category_scores_gemma":[0.00006797282,0.00011560031,0.00010754536,0.00012133476,0.00010866127,0.00038809748,0.00007048793,0.000873245,0.00009272675],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043756794,0.000046379442,0.07084062,0.000015774134,0.00015860854,0.00000501683,0.002611756,0.000008440569,0.0000024342296,0.76564133,0.00014171562,0.16009037],"study_design_scores_gemma":[0.0016246485,0.000046712375,0.0020297936,0.00003710654,0.000027191725,0.00019554583,0.00085718615,0.0009989102,0.000009226476,0.9892651,0.004653061,0.00025555043],"about_ca_topic_score_codex":0.00026256338,"about_ca_topic_score_gemma":0.00020149436,"teacher_disagreement_score":0.22362375,"about_ca_system_score_codex":0.00026423746,"about_ca_system_score_gemma":0.00014953893,"threshold_uncertainty_score":0.4714044},"labels":[],"label_agreement":null},{"id":"W2158846412","doi":"","title":"Housing Wealth and Household Consumption: New Evidence from Australia and Canada","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Economics; Wealth effect; Demographic economics; House price; Autonomous consumption; Empirical research; Labour economics; Monetary economics; Public economics; Aggregate expenditure; Macroeconomics; Debt","score_opus":0.14357766938208935,"score_gpt":0.3055521642438056,"score_spread":0.16197449486171625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158846412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877776,0.0018484411,0.000008948925,0.00087631453,0.00095953915,0.00064114213,0.00033928506,0.000036410253,0.007512358],"genre_scores_gemma":[0.92149425,0.07464485,0.0014549382,0.00016131593,0.00046350795,0.000059079885,0.000047220856,0.00009870355,0.0015761536],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959681,0.00009751379,0.0012759463,0.0016042916,0.00007886446,0.0009752597],"domain_scores_gemma":[0.997077,0.00073331123,0.00056158385,0.0010122483,0.000034990404,0.00058086053],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015846917,0.00047148086,0.0010963136,0.00046025857,0.00023403393,0.0006774283,0.00056007825,0.0005666214,0.00042181756],"category_scores_gemma":[0.00039645686,0.0006351861,0.0000826865,0.000069437316,0.00034122687,0.00036975977,0.001158094,0.0015714086,0.000038435206],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008814563,0.000048230973,0.93432677,0.00041972098,0.00017124879,0.00003724127,0.0005075356,0.002427663,0.000010691152,0.0018121486,0.0025800285,0.057570558],"study_design_scores_gemma":[0.0026825324,0.0001665838,0.7955169,0.0021012928,0.000043552092,0.00003530766,0.0005311284,0.029518364,0.000052981708,0.049015474,0.11677681,0.003559094],"about_ca_topic_score_codex":0.7894101,"about_ca_topic_score_gemma":0.6719206,"teacher_disagreement_score":0.1388099,"about_ca_system_score_codex":0.0017621889,"about_ca_system_score_gemma":0.00097477325,"threshold_uncertainty_score":0.99960995},"labels":[],"label_agreement":null},{"id":"W2159610132","doi":"10.6000/1929-7092.2014.03.10","title":"Common Stochastic Volatility in International Real Estate Market","year":2014,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Real estate; Economics; Real estate investment trust; Financial economics; Econometrics; Emerging markets; Stochastic volatility; Macroeconomics; Finance","score_opus":0.027666313323920777,"score_gpt":0.2580289443211317,"score_spread":0.23036263099721094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159610132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5540323,0.00026399823,0.0010118446,0.00059556967,0.0020157204,0.00017884304,0.00006828053,0.000008212203,0.44182524],"genre_scores_gemma":[0.94573635,0.051853273,0.0014326774,0.0004452029,0.00041621513,0.000004761493,0.0000073044075,0.000023284887,0.000080950704],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972149,0.00007541464,0.0021221638,0.00028326694,0.000027474416,0.0002767903],"domain_scores_gemma":[0.99751085,0.00012482137,0.0018525162,0.00032853617,0.00003380584,0.00014946763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035611938,0.00021601132,0.0010574957,0.00021032109,0.000038694452,0.00010573728,0.00051796186,0.00011093007,0.0003052648],"category_scores_gemma":[0.00039858796,0.00023579318,0.00031284528,0.000110336536,0.00005054557,0.0003849638,0.00006422859,0.00027003943,0.00021593717],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062325445,0.00040722705,0.2834008,0.000089106674,0.00012211403,0.000009119959,0.00025127712,0.0076461155,4.9031416e-7,0.034039114,0.006662365,0.666749],"study_design_scores_gemma":[0.0017672635,0.0002751231,0.07038517,0.00015531543,0.0000151950435,0.00004794368,0.0000301429,0.09534299,8.2797465e-7,0.032936666,0.79858506,0.00045827724],"about_ca_topic_score_codex":0.0001442679,"about_ca_topic_score_gemma":0.0003868814,"teacher_disagreement_score":0.7919227,"about_ca_system_score_codex":0.0008597367,"about_ca_system_score_gemma":0.000039974904,"threshold_uncertainty_score":0.9615367},"labels":[],"label_agreement":null},{"id":"W2160200707","doi":"","title":"An Empirical Assessment of a Consumption CAPM with a Reference Level under Incomplete Consumption Insurance","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Economics; Consumption (sociology); Capital asset pricing model; Econometrics; Elasticity of intertemporal substitution; Per capita; Preference; Asset (computer security); Expected utility hypothesis; Microeconomics; Financial economics; Computer science","score_opus":0.20852909045833856,"score_gpt":0.38190600649300394,"score_spread":0.17337691603466537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160200707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92052853,0.00016101293,0.0005471413,0.00011720661,0.00031139387,0.0008404886,0.0008085628,0.000042910382,0.076642774],"genre_scores_gemma":[0.9811079,0.012132585,0.0057667,0.00011444221,0.00006690117,0.00022021227,0.0002451936,0.00011109169,0.0002349596],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99507284,0.0003337112,0.001839628,0.0016670321,0.00013667016,0.000950115],"domain_scores_gemma":[0.9964607,0.00039722,0.0011129384,0.001582974,0.00015145904,0.00029471534],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0036302982,0.0005355804,0.0014596983,0.0010498016,0.00019598485,0.00024307302,0.0008383179,0.00075707893,0.00040665912],"category_scores_gemma":[0.00012414037,0.00064613903,0.00017709557,0.00017551452,0.0007116064,0.00034663407,0.00040801318,0.001964132,0.000056851677],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020120028,0.00050474674,0.95480126,0.00048410846,0.0001667542,0.000010825688,0.00024589317,0.017324366,0.000041680578,0.017862178,0.000023758366,0.0083332],"study_design_scores_gemma":[0.0018698012,0.0003315654,0.94968307,0.00032532445,0.000012245456,0.000021032023,0.00014003563,0.03154536,0.000025784813,0.010804449,0.004208626,0.0010326932],"about_ca_topic_score_codex":0.00036903593,"about_ca_topic_score_gemma":0.0014896948,"teacher_disagreement_score":0.07640781,"about_ca_system_score_codex":0.0018997772,"about_ca_system_score_gemma":0.00068911316,"threshold_uncertainty_score":0.999599},"labels":[],"label_agreement":null},{"id":"W2160662971","doi":"10.3828/tpr.74.3.3","title":"Lessons from America: <i>The role of Business Improvement Districts as an agent of urban regeneration</i>","year":2003,"lang":"en","type":"article","venue":"Town Planning Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Legislation; Business; Scope (computer science); Local government; Strengths and weaknesses; Small business; Scale (ratio); CONTEST; Government (linguistics); Marketing; Public administration; Political science; Computer science","score_opus":0.03301059292163456,"score_gpt":0.2454916916796066,"score_spread":0.21248109875797205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160662971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6089736,0.25333756,0.0024295389,0.0013406946,0.00074875494,0.0009255888,0.00047174658,0.00004818335,0.13172431],"genre_scores_gemma":[0.9595015,0.038818747,0.0006737812,0.00057442626,0.00007778638,0.000030503892,0.00012689516,0.000023397644,0.00017296412],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99872345,0.000030560095,0.0007665369,0.00027150137,0.000035533874,0.00017239842],"domain_scores_gemma":[0.9986337,0.00005544946,0.0007263203,0.00048319227,0.000044091772,0.000057251345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005059604,0.00013877459,0.0005563651,0.000049598104,0.00007330606,0.000027139851,0.00023075454,0.000044222943,0.00035249806],"category_scores_gemma":[0.0001932458,0.00012652374,0.00009377187,0.0002577599,0.000050409762,0.00011923981,0.000031481097,0.000077960605,0.000045126315],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000096064054,0.0013589892,0.22456104,0.002984169,0.0006861962,0.000013601426,0.004027848,0.0025007222,0.0023350336,0.1629864,0.035369076,0.56308085],"study_design_scores_gemma":[0.00034588948,0.00011959045,0.008443826,0.0008388727,0.00007740422,0.0000030386827,0.00013990623,0.0008555034,0.0012940876,0.0082383435,0.9792412,0.00040233778],"about_ca_topic_score_codex":0.0005524754,"about_ca_topic_score_gemma":0.0000048065,"teacher_disagreement_score":0.94387215,"about_ca_system_score_codex":0.000045518704,"about_ca_system_score_gemma":0.000043101205,"threshold_uncertainty_score":0.51594883},"labels":[],"label_agreement":null},{"id":"W2160780077","doi":"10.2139/ssrn.1829346","title":"Strategic Default and the Foreclosure Process","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Foreclosure; Business; Process (computing); Process management; Finance; Computer science","score_opus":0.029408716609310784,"score_gpt":0.20181331750989642,"score_spread":0.17240460090058563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160780077","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7847566,0.003984345,0.0012369205,0.00044561413,0.00023194139,0.00012182231,0.0000032071687,0.000019889283,0.20919967],"genre_scores_gemma":[0.99257547,0.00659921,0.000048645918,0.0000945834,0.00014840809,0.0000060998127,8.3685154e-7,0.000020990245,0.00050577073],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99832535,0.000019217241,0.00037156852,0.00018095698,0.000020270523,0.0010826286],"domain_scores_gemma":[0.9994839,0.000025062684,0.0002740271,0.00013875116,0.000022273618,0.00005600243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00246657,0.000119639364,0.00024347291,0.00008028247,0.00023391574,0.00009079893,0.00024563321,0.00007221844,0.00010360328],"category_scores_gemma":[0.000034856293,0.000093930874,0.000088615365,0.00008792115,0.00011655983,0.00020534101,0.000022382914,0.00082548935,0.00007997343],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000107099404,0.00001986938,0.012850602,0.00000516996,0.00007952477,8.2039276e-7,0.0007137713,0.00000540921,2.5358165e-7,0.98382014,0.000012706015,0.0023846251],"study_design_scores_gemma":[0.0010823543,0.00007978109,0.0008151936,0.0000037781188,0.000010276919,0.00018688306,0.0014925753,0.0007409815,0.0000034093064,0.9949178,0.0005320385,0.00013493221],"about_ca_topic_score_codex":0.0001382304,"about_ca_topic_score_gemma":0.00050819846,"teacher_disagreement_score":0.20869389,"about_ca_system_score_codex":0.00015756652,"about_ca_system_score_gemma":0.00023319996,"threshold_uncertainty_score":0.383039},"labels":[],"label_agreement":null},{"id":"W2160789680","doi":"10.2139/ssrn.444522","title":"Identification and Estimation of Hedonic Models","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Estimation; Identification (biology); Econometrics; Computer science; Economics; Statistics; Mathematics; Management","score_opus":0.015078679979616474,"score_gpt":0.20525415820542475,"score_spread":0.19017547822580827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160789680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7750871,0.00329492,0.20317698,0.00015382058,0.00019429169,0.00007303111,0.0000032661287,0.000010378812,0.01800617],"genre_scores_gemma":[0.99202967,0.0072141136,0.00031366097,0.0000117258,0.000021404527,0.0000016831042,0.0000013790841,0.000012213208,0.00039417364],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99884814,0.000015002726,0.00044751848,0.00013466504,0.000017596216,0.00053706206],"domain_scores_gemma":[0.99946976,0.00001680253,0.00035116237,0.00011147909,0.000017914143,0.00003285824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001974176,0.00006874864,0.00016917266,0.00013774076,0.00008353035,0.000045372286,0.00007634958,0.00004984843,0.000023001247],"category_scores_gemma":[0.00006910189,0.00008287931,0.000048622896,0.00007930359,0.00002772182,0.00034512967,0.000007546797,0.0002865264,0.000026034442],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005588566,0.000018922821,0.0015838727,0.0000058709397,0.000027951053,7.235122e-8,0.00009330118,0.0030472465,0.000017783133,0.98779577,0.000008839007,0.0073947986],"study_design_scores_gemma":[0.00026537222,0.000038154703,0.00032416475,0.0000039245488,0.000005336943,0.000051072806,0.00013153348,0.035655405,0.000067198285,0.96310276,0.00026866965,0.000086381595],"about_ca_topic_score_codex":0.000021537577,"about_ca_topic_score_gemma":0.00004192463,"teacher_disagreement_score":0.2169425,"about_ca_system_score_codex":0.00026695686,"about_ca_system_score_gemma":0.00016476118,"threshold_uncertainty_score":0.33797204},"labels":[],"label_agreement":null},{"id":"W2160894440","doi":"10.6000/1929-7092.2014.03.25","title":"A Comparative Analysis on Subsidy Policies of China’s Public Housing Programmes: Evidence Based on Micro Surveys in Baoji","year":2014,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Nihon University","keywords":"Subsidy; China; Consumption (sociology); Public economics; Business; Public policy; Policy analysis; Economics; Economic growth; Public administration; Political science","score_opus":0.09859451159114657,"score_gpt":0.30561168493772095,"score_spread":0.20701717334657438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160894440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97405547,0.0028352384,0.0019773433,0.0013330629,0.00046906818,0.0004070444,0.000086623724,0.000010392026,0.018825756],"genre_scores_gemma":[0.98912036,0.008608583,0.001396242,0.0006937159,0.00013544716,0.000006872093,0.000007886691,0.000018622222,0.000012268738],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99584097,0.0005155429,0.0026691656,0.00045755715,0.000057321748,0.00045942736],"domain_scores_gemma":[0.9950883,0.0003984789,0.0036197612,0.00060527894,0.00008384362,0.00020437669],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00974821,0.0003732802,0.002541347,0.0010673426,0.000074686504,0.00021034594,0.00062967313,0.00015409804,0.00007229541],"category_scores_gemma":[0.00086639385,0.00036966102,0.00085904205,0.0009022381,0.00011968405,0.00048187675,0.000044793782,0.0003460295,0.00010311468],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044281705,0.0013565832,0.8027402,0.00026996376,0.0006621227,0.000005482226,0.00045721178,0.085213386,0.0000043848527,0.036731075,0.0007865905,0.071330175],"study_design_scores_gemma":[0.003535755,0.0034438877,0.7888988,0.0019851227,0.00029709504,0.000013809403,0.00015422278,0.09063537,0.000116770476,0.0067864126,0.10258373,0.001549019],"about_ca_topic_score_codex":0.00029186145,"about_ca_topic_score_gemma":0.00086504343,"teacher_disagreement_score":0.10179713,"about_ca_system_score_codex":0.0009649021,"about_ca_system_score_gemma":0.00012767389,"threshold_uncertainty_score":0.99987555},"labels":[],"label_agreement":null},{"id":"W2161028161","doi":"10.3386/w19882","title":"Default and Repayment Among Baccalaureate Degree Earners","year":2014,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Degree (music); Mathematics; Economics; Econometrics; Physics","score_opus":0.320741614950893,"score_gpt":0.4238420671767836,"score_spread":0.1031004522258906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161028161","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32083,0.00061697635,0.00009462373,0.0009091459,0.00065684126,0.0005533396,0.0001417077,0.00003407863,0.6761633],"genre_scores_gemma":[0.99486643,0.0013676692,0.0008373817,0.000048242462,0.0004920517,0.000107596104,0.00020937812,0.0000701817,0.0020010748],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99662983,0.00010658381,0.0013751483,0.0011422558,0.00015578014,0.0005903802],"domain_scores_gemma":[0.9975584,0.00055736327,0.000768114,0.00065696845,0.00023218396,0.00022697482],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0065590795,0.00032857523,0.0009425336,0.0011189508,0.00017721862,0.00025386098,0.0006922162,0.00060262845,0.00056868035],"category_scores_gemma":[0.0006487507,0.0004142217,0.00024936348,0.000105686995,0.00052506675,0.00020851984,0.0009769335,0.0010028128,0.0005351455],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009647789,0.00009418726,0.08157478,0.00031511317,0.0003261409,0.000002705825,0.000279273,0.0063039563,0.000007163504,0.8955348,0.012009151,0.0034562435],"study_design_scores_gemma":[0.0006584366,0.000072829265,0.016671741,0.00009064427,0.000008547831,0.0000037342102,0.00004212683,0.036027137,0.000038357644,0.93840444,0.0075101447,0.00047186323],"about_ca_topic_score_codex":0.0025679905,"about_ca_topic_score_gemma":0.0003495247,"teacher_disagreement_score":0.6741622,"about_ca_system_score_codex":0.0010312378,"about_ca_system_score_gemma":0.00029099564,"threshold_uncertainty_score":0.99983096},"labels":[],"label_agreement":null},{"id":"W2161410673","doi":"","title":"Alternative Approaches to Measuring House Price Inflation","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hedonic index; Hedonic regression; Econometrics; Imputation (statistics); Price index; Economics; Quarter (Canadian coin); Inflation (cosmology); Index (typography); Stock (firearms); Hedonic pricing; House price; Regression; Regression analysis; Order (exchange); Land price; Statistics; Mathematics; Computer science; Agricultural economics; Geography; Missing data; Finance","score_opus":0.2303309277094807,"score_gpt":0.28068621994020865,"score_spread":0.05035529223072796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161410673","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41500545,0.00013652851,0.0002738386,0.00022688492,0.0010091837,0.0011172052,0.00006507209,0.00011697275,0.5820489],"genre_scores_gemma":[0.99033815,0.00460938,0.0025256844,0.00009912594,0.00056482974,0.00044113243,0.000037331145,0.0002482373,0.0011361389],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9950946,0.00013790208,0.0016034506,0.0018509824,0.00009307196,0.0012199864],"domain_scores_gemma":[0.9970526,0.00027257518,0.0006861153,0.0015263695,0.00006864091,0.0003937027],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0045747645,0.0005326877,0.0011410151,0.0017656797,0.0002140188,0.0003849567,0.0013014205,0.00065542106,0.00020727354],"category_scores_gemma":[0.000718946,0.0007352551,0.00029067247,0.00025696625,0.00018732135,0.00034198863,0.0017916982,0.0017844487,0.00055111764],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008653066,0.00116472,0.16632757,0.0010064931,0.0009715765,0.00007290239,0.01771838,0.29395774,0.000027009257,0.16541967,0.0002680393,0.3522006],"study_design_scores_gemma":[0.0038384686,0.0005507933,0.08757999,0.0010552461,0.0000373175,0.000026745216,0.0014570467,0.2202359,0.00088537054,0.549366,0.12842172,0.006545394],"about_ca_topic_score_codex":0.0007453862,"about_ca_topic_score_gemma":0.00051298365,"teacher_disagreement_score":0.5809127,"about_ca_system_score_codex":0.0022529203,"about_ca_system_score_gemma":0.00025213402,"threshold_uncertainty_score":0.9995099},"labels":[],"label_agreement":null},{"id":"W2161410734","doi":"10.1111/j.1540-6229.2010.00291.x","title":"Integrating Illiquid Assets into the Portfolio Decision Process","year":2011,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Guelph","funders":"","keywords":"Market liquidity; Portfolio; Economics; Real estate; Asset (computer security); Business; Monetary economics; Financial economics; Finance; Computer science","score_opus":0.032143125518371056,"score_gpt":0.23543715617451244,"score_spread":0.20329403065614138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161410734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6304923,0.00003245724,0.00083911925,0.000088693174,0.0006079702,0.00016514277,0.000021276659,0.000060285005,0.36769274],"genre_scores_gemma":[0.98273784,0.011423849,0.0050691795,0.00017951452,0.00019046575,0.000040034116,0.000028115424,0.00008646416,0.0002445184],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99768823,0.000018195571,0.0011440116,0.0006185275,0.00002168437,0.0005093385],"domain_scores_gemma":[0.99834114,0.00013604395,0.0006789273,0.00063473184,0.00004349242,0.00016568728],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012241,0.0003021205,0.00052373303,0.00021303321,0.00029856662,0.0001774961,0.0006367288,0.00016840578,0.00051051565],"category_scores_gemma":[0.00012965026,0.00028629397,0.00018433548,0.0001658923,0.0001414617,0.00061000296,0.00013220904,0.00028461026,0.0008685965],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040468053,0.00029933505,0.16068718,0.00008249267,0.0001969072,0.000026640486,0.032374267,0.0012327184,0.000008879968,0.26724422,0.0011982688,0.5362444],"study_design_scores_gemma":[0.0022138846,0.0005440066,0.04912707,0.000103459686,0.000057995676,0.00008417811,0.005421787,0.06710524,0.00066880306,0.7044613,0.16746542,0.0027468496],"about_ca_topic_score_codex":0.0028417811,"about_ca_topic_score_gemma":0.0013843359,"teacher_disagreement_score":0.5334976,"about_ca_system_score_codex":0.00026865222,"about_ca_system_score_gemma":0.000088628,"threshold_uncertainty_score":0.99995893},"labels":[],"label_agreement":null},{"id":"W2162104843","doi":"10.1509/jmkr.48.spl.s14","title":"Earmarking and Partitioning: Increasing Saving by Low-Income Households","year":2011,"lang":"en","type":"article","venue":"Journal of Marketing Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Welfare; Economics; Psychological intervention; Control (management); Low income; Public economics; Test (biology); Monetary economics; Econometrics; Demographic economics; Psychology","score_opus":0.09654563374213881,"score_gpt":0.2806910456235968,"score_spread":0.184145411881458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162104843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91709465,0.0010255221,0.0001236073,0.00013727472,0.00022599626,0.000065511,0.0000057359875,0.0000138562045,0.08130787],"genre_scores_gemma":[0.9965206,0.0015848395,0.0014361057,0.00003396761,0.00023018755,0.0000020720179,9.181455e-7,0.000039744966,0.00015155891],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977293,0.0004117851,0.0009141512,0.00024715514,0.00011557247,0.0005820223],"domain_scores_gemma":[0.9977366,0.0011637531,0.00056963874,0.00018807992,0.00013960637,0.000202355],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03544681,0.00012551881,0.0003845227,0.00043272745,0.000337357,0.0002418458,0.00029902512,0.00011113672,0.00034632612],"category_scores_gemma":[0.0033611835,0.00014209042,0.00008680185,0.00024698916,0.00015307509,0.00047918042,0.00017592232,0.0007110919,0.00003712015],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00083866407,0.00011191109,0.9836626,0.00013078182,0.00008152061,0.00004081477,0.0011641185,0.000006112583,0.00031296661,0.0019749806,0.0020992118,0.009576285],"study_design_scores_gemma":[0.0021256548,0.0003850718,0.93066293,0.00105701,0.000020028063,0.000341592,0.0014139586,0.0022615355,0.00033094853,0.024054943,0.036578745,0.00076758227],"about_ca_topic_score_codex":0.00023854389,"about_ca_topic_score_gemma":0.000010474301,"teacher_disagreement_score":0.08115631,"about_ca_system_score_codex":0.00019356699,"about_ca_system_score_gemma":0.000053435844,"threshold_uncertainty_score":0.9932105},"labels":[],"label_agreement":null},{"id":"W2162130017","doi":"10.1111/j.1936-4490.2002.tb00281.x","title":"Canadian Real Estate Investment Trusts: A Review of the IPO Literature and Preliminary Analysis of Canadian REIT IPO Pricing","year":2002,"lang":"en","type":"review","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Real estate investment trust; Initial public offering; Valuation (finance); Financial economics; Equity (law); Economics; Business; Real estate; Monetary economics; Finance; Political science; Law","score_opus":0.12331689430817813,"score_gpt":0.30169908002678214,"score_spread":0.178382185718604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162130017","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023822775,0.882783,0.0000055092573,0.0014648159,0.00068456965,0.00082549907,0.0020530168,0.000003882719,0.088356934],"genre_scores_gemma":[0.083489195,0.91482514,0.0011037027,0.00023810891,0.00008582119,0.000013729408,0.000035619163,0.000022771981,0.00018593688],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9954158,0.00025976548,0.0023949165,0.0007120656,0.00012000103,0.0010974363],"domain_scores_gemma":[0.9934165,0.00024150209,0.0032829745,0.00045860754,0.00033097764,0.0022694424],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0045385105,0.00048101833,0.0020908965,0.0054104007,0.0010591857,0.00038852004,0.0014958371,0.000316782,0.00019731614],"category_scores_gemma":[0.0012262997,0.00042421126,0.00065334747,0.008057954,0.002928263,0.00053706183,0.000035416782,0.0005199454,0.000002251817],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061794344,0.000248153,0.050050527,0.09329724,0.005141865,0.0023775662,0.09850634,0.0014125707,0.0000033897331,0.20200886,0.006752534,0.54013914],"study_design_scores_gemma":[0.00043259497,0.0054961997,0.009062977,0.09146188,0.004270878,0.0031466968,0.0042378427,0.0029546334,0.000009007776,0.009784927,0.8667103,0.0024320758],"about_ca_topic_score_codex":0.7402346,"about_ca_topic_score_gemma":0.9946678,"teacher_disagreement_score":0.85995775,"about_ca_system_score_codex":0.0032260164,"about_ca_system_score_gemma":0.02089074,"threshold_uncertainty_score":0.99982095},"labels":[],"label_agreement":null},{"id":"W2162211685","doi":"10.5539/ijms.v3n2p64","title":"Price Effects of Landfills on Residential Housing in Lagos, Nigeria","year":2011,"lang":"en","type":"article","venue":"International Journal of Marketing Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Property value; Residential property; Concentric; Property (philosophy); Municipal solid waste; Value (mathematics); Environmental science; Hedonic pricing; Agricultural economics; Business; Geography; Mathematics; Economics; Statistics; Econometrics; Economic geography; Engineering; Waste management; Geometry","score_opus":0.0359478666448946,"score_gpt":0.2580506838090204,"score_spread":0.2221028171641258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162211685","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96927744,0.0010722664,0.000091041446,0.00015752362,0.0024565903,0.000050288167,0.0000046986816,0.000005213781,0.026884956],"genre_scores_gemma":[0.9964476,0.0022355688,0.00091975124,0.00006430719,0.00025510552,0.0000013505688,3.9179642e-7,0.000013308175,0.00006257681],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987316,0.00007152102,0.0008568445,0.00013045895,0.00006996939,0.00013956698],"domain_scores_gemma":[0.9980659,0.00069038686,0.0009931561,0.00008246612,0.00014207215,0.000026029127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002634774,0.00010104978,0.00039773085,0.00044866762,0.000028687527,0.00002367148,0.00027181345,0.000044181645,0.00005380553],"category_scores_gemma":[0.0027132467,0.00010419249,0.000115599716,0.000076374396,0.000049709313,0.00016585633,0.000080513026,0.00013961479,0.000012654803],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003076804,0.0004595961,0.9708193,0.00022823019,0.0012506985,0.00026852373,0.0073058843,0.00018448963,0.0001991908,0.003819482,0.0023391196,0.010048689],"study_design_scores_gemma":[0.0036208828,0.0003859366,0.9666825,0.0019456076,0.000025639567,0.000042687025,0.0012850191,0.00016462141,0.002884178,0.019160723,0.0033321518,0.0004700343],"about_ca_topic_score_codex":0.000046122193,"about_ca_topic_score_gemma":0.00003463879,"teacher_disagreement_score":0.027170219,"about_ca_system_score_codex":0.0001436006,"about_ca_system_score_gemma":0.000018515964,"threshold_uncertainty_score":0.42488465},"labels":[],"label_agreement":null},{"id":"W2162523076","doi":"","title":"Credit Frictions, Housing Prices and Optimal Monetary Policy Rules","year":2005,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Monetary policy; Economics; Market liquidity; Consumption (sociology); Business cycle; Order (exchange); Monetary economics; Welfare; Interest rate; Macroeconomics; Finance","score_opus":0.03766925751089639,"score_gpt":0.284844444519206,"score_spread":0.2471751870083096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162523076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74502367,0.0020041869,0.00003740835,0.0012452934,0.000733537,0.00060121156,0.00037396772,0.000098279066,0.24988247],"genre_scores_gemma":[0.84856814,0.13585754,0.010085152,0.00021061658,0.002913758,0.00019957684,0.00019586178,0.0002335837,0.0017357826],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9953175,0.00008427977,0.0015720001,0.0016633917,0.00007965075,0.001283176],"domain_scores_gemma":[0.99743193,0.00036653093,0.0006400677,0.001152524,0.000056165147,0.0003527935],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025409344,0.0005578232,0.0011985956,0.0021515554,0.0004195996,0.00067189126,0.0008240411,0.0008304778,0.00020925961],"category_scores_gemma":[0.0004674667,0.0007661176,0.00026458158,0.00021780675,0.0004381352,0.00044659205,0.0016324652,0.0019394435,0.00013659579],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033462368,0.0007815171,0.14989786,0.0008007514,0.0007210354,0.000075339514,0.003017026,0.106859945,0.00001703958,0.037360024,0.000857325,0.6992775],"study_design_scores_gemma":[0.0029515857,0.0002996171,0.12076625,0.00055460463,0.000042609787,0.00007140793,0.0014949883,0.29284817,0.000042760734,0.07313224,0.5037258,0.0040699607],"about_ca_topic_score_codex":0.0012189492,"about_ca_topic_score_gemma":0.00047967525,"teacher_disagreement_score":0.69520754,"about_ca_system_score_codex":0.0017466395,"about_ca_system_score_gemma":0.00043253571,"threshold_uncertainty_score":0.999479},"labels":[],"label_agreement":null},{"id":"W2163921134","doi":"","title":"DO PEER EFFECTS SHAPE RESIDENTIAL VALUES? RECONCILING THE SALES COMPARISON APPROACH WITH HEDONIC PRICE MODELLING","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Hedonic index; Econometrics; Neighbourhood (mathematics); Economics; Proxy (statistics); Transaction data; Database transaction; Hedonic pricing; Microeconomics; Hedonic regression; Conceptual framework; Price index; Computer science; Statistics; Mathematics","score_opus":0.0656515361506267,"score_gpt":0.2924078447776691,"score_spread":0.22675630862704244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163921134","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7823523,0.0010185832,0.001164238,0.00047014814,0.0015114632,0.0017999914,0.00008669176,0.00010486344,0.21149166],"genre_scores_gemma":[0.9807589,0.008450088,0.0073587312,0.00007992881,0.00096502196,0.00044385355,0.00016635831,0.00026611745,0.0015109846],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9933578,0.0003003082,0.0020241148,0.00237333,0.00024400259,0.0017004695],"domain_scores_gemma":[0.99452263,0.001352651,0.0011674154,0.0024229318,0.00021248843,0.00032187358],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.010067315,0.00078226154,0.0017679137,0.0009718723,0.00069013104,0.0013389359,0.0021508096,0.0012102734,0.00013825104],"category_scores_gemma":[0.0007334315,0.00077381707,0.00043360624,0.00030283927,0.0007074929,0.00036320637,0.0014994784,0.00578833,0.00014553111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005714213,0.0007169904,0.039458945,0.0010994845,0.00060962694,0.000033609096,0.0041454984,0.90213645,0.000013947119,0.0102649545,0.0003151363,0.04063397],"study_design_scores_gemma":[0.0012187252,0.00013859167,0.0023542515,0.00027312606,0.000029299184,0.000022680828,0.0007539748,0.958904,0.000042449294,0.017436216,0.017575577,0.0012511101],"about_ca_topic_score_codex":0.00041713,"about_ca_topic_score_gemma":0.00039763792,"teacher_disagreement_score":0.20998068,"about_ca_system_score_codex":0.0013837015,"about_ca_system_score_gemma":0.00059824425,"threshold_uncertainty_score":0.99969774},"labels":[],"label_agreement":null},{"id":"W2163949323","doi":"10.1080/08882746.2012.11430598","title":"Analyzing Foreclosures Among High-Income Black/African American and Hispanic/Latino Borrowers in Prince George’s County, Maryland","year":2012,"lang":"en","type":"article","venue":"Housing and Society","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Foreclosure; Metropolitan area; Socioeconomic status; African american; Logistic regression; Census; American Community Survey; George (robot); Geography; Demography; Demographic economics; Business; Economics; Sociology; Finance; History; Medicine; Population","score_opus":0.010817076274054722,"score_gpt":0.20147801702366702,"score_spread":0.1906609407496123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163949323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895784,0.0004727071,0.0004013067,0.00016900036,0.00020501004,0.00011643137,0.00003143852,0.000048330192,0.008977354],"genre_scores_gemma":[0.99583435,0.001937105,0.0017292661,0.00013761717,0.00016506172,0.000005686203,0.000008807544,0.00004077453,0.0001413022],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985103,0.00002336942,0.00047317296,0.00038903035,0.000034360903,0.0005697831],"domain_scores_gemma":[0.99917376,0.000094746356,0.00033215544,0.00021188062,0.000013689915,0.00017376847],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010006621,0.00021680999,0.00052636926,0.00010889241,0.00021898991,0.00014452594,0.00010128321,0.00011359039,0.000020463955],"category_scores_gemma":[0.000037237263,0.0002534597,0.00009942553,0.00024117997,0.00039905796,0.00039710038,0.00011292783,0.00022294199,0.0000067840033],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009901001,0.000036787933,0.99200416,0.000040871146,0.000037718255,8.8884957e-7,0.002963502,0.00005602879,0.0000073968017,0.0025853459,0.00015169357,0.0021056863],"study_design_scores_gemma":[0.00050400995,0.000036110872,0.9874804,0.000031250092,0.000015365931,0.0000026777561,0.001072069,0.00480029,0.000007467044,0.0013955062,0.004246552,0.0004083051],"about_ca_topic_score_codex":0.003033378,"about_ca_topic_score_gemma":0.00048003515,"teacher_disagreement_score":0.008836051,"about_ca_system_score_codex":0.00018781424,"about_ca_system_score_gemma":0.000016246935,"threshold_uncertainty_score":0.9999918},"labels":[],"label_agreement":null},{"id":"W2164632629","doi":"10.2139/ssrn.1879968","title":"REITS and Underlying Real Estate Markets: Is There a Link?","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Real estate investment trust; Real estate; Link (geometry); Business; Financial economics; Economics; Monetary economics; Financial system; Finance; Computer science","score_opus":0.043193894212241415,"score_gpt":0.22424660594923826,"score_spread":0.18105271173699683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164632629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6657862,0.0016374942,0.0012566339,0.0004639047,0.00023599593,0.00007641164,0.000007258037,0.00003072245,0.33050537],"genre_scores_gemma":[0.85720444,0.14079884,0.00032390447,0.00009983553,0.0001302932,0.0000025718723,0.0000012896571,0.00003977858,0.0013990527],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976699,0.000023840366,0.0004978693,0.00030117686,0.00002552503,0.0014817255],"domain_scores_gemma":[0.9992958,0.000029388913,0.00034351225,0.00019609461,0.000020357656,0.000114868395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002055951,0.00017170186,0.0002992239,0.0001743853,0.00023784384,0.00010788986,0.00021864772,0.00011979777,0.00030802542],"category_scores_gemma":[0.00003282778,0.00018995897,0.00010110234,0.000101270736,0.000054645603,0.0003393853,0.00004968869,0.0009585733,0.00015836766],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023812556,0.00007715389,0.1300841,0.00002922967,0.00043010397,0.000017072187,0.004270251,0.000002815161,0.000009335977,0.49269816,0.00027496758,0.3718687],"study_design_scores_gemma":[0.00093971635,0.00023368314,0.02955413,0.00002201996,0.000019245112,0.00029462276,0.0014454614,0.0008508125,0.000011315884,0.9495749,0.016612848,0.00044125656],"about_ca_topic_score_codex":0.00048676913,"about_ca_topic_score_gemma":0.00063470757,"teacher_disagreement_score":0.45687672,"about_ca_system_score_codex":0.00043341762,"about_ca_system_score_gemma":0.00025133,"threshold_uncertainty_score":0.7746302},"labels":[],"label_agreement":null},{"id":"W2167612311","doi":"10.25336/p63k7f","title":"Immigrants’ Transition to Homeownership, 1991 to 2006","year":2013,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"Institut national de la recherche scientifique","keywords":"Immigration; Census; Demographic economics; Cohort; Cohort effect; Transition (genetics); Multivariate statistics; Perspective (graphical); Demography; Multivariate analysis; Geography; Sociology; Economics; Population; Medicine; Statistics","score_opus":0.04861604647219888,"score_gpt":0.24015819869017632,"score_spread":0.19154215221797743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167612311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97938776,0.00027048818,0.000094503455,0.0041421307,0.0007522132,0.00044631588,0.00006478695,0.00002032144,0.0148215005],"genre_scores_gemma":[0.9971025,0.000060845065,0.00041015836,0.0018670433,0.00012091518,0.00008346589,0.00004585243,0.000019186753,0.00029004976],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99891025,0.000009796444,0.00041291318,0.00028688923,0.000016885151,0.00036329564],"domain_scores_gemma":[0.99948746,0.000019002553,0.000056578978,0.0001745067,0.000025328689,0.00023710991],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00026711676,0.00011615361,0.00027793823,0.00067226525,0.00010512382,0.000047034948,0.0000958859,0.00006797343,0.00016031462],"category_scores_gemma":[0.00010947399,0.00014877628,0.00004084177,0.0003528915,0.00001575785,0.00021264718,0.00001382885,0.00006457729,0.0015280022],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003177995,0.000046616555,0.81458455,0.000100487676,0.000107919484,0.000012695646,0.020908352,0.009134247,0.000012617687,0.030176142,0.06944891,0.055435702],"study_design_scores_gemma":[0.00032927396,0.00005112984,0.9373882,0.00005074149,0.0000040634177,0.0000015385375,0.0014984298,0.001256449,0.000002852179,0.018886741,0.040038027,0.0004925857],"about_ca_topic_score_codex":0.44469634,"about_ca_topic_score_gemma":0.64080286,"teacher_disagreement_score":0.19610652,"about_ca_system_score_codex":0.00081060093,"about_ca_system_score_gemma":0.000010811298,"threshold_uncertainty_score":0.9992494},"labels":[],"label_agreement":null},{"id":"W2168187274","doi":"10.1111/fire.12013","title":"Performance of Thinly Traded Assets: A Case in Real Estate","year":2013,"lang":"en","type":"article","venue":"Financial Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Market liquidity; Business; Real estate; Asset (computer security); Finance; Metric (unit); Liquidity risk; Financial economics; Economics; Computer science","score_opus":0.035798126704662106,"score_gpt":0.23267315159369487,"score_spread":0.19687502488903275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168187274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8793548,0.003207566,0.000006671356,0.00023227221,0.0001862215,0.0004136189,0.000025243646,0.000015807713,0.1165578],"genre_scores_gemma":[0.72330016,0.2759719,0.00032513213,0.00018086715,0.000041732703,0.00005860248,0.000007357015,0.000017033948,0.000097262964],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984569,0.000018801045,0.0009695248,0.00025920518,0.000020366695,0.00027521027],"domain_scores_gemma":[0.99920183,0.000038918268,0.0003889101,0.00028964423,0.000022087188,0.0000586262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000764276,0.00014189148,0.00068165746,0.000119062504,0.000039361898,0.000019643761,0.00016503397,0.00008086722,0.00048928923],"category_scores_gemma":[0.00021349265,0.00015884973,0.00011639935,0.00027459403,0.00003844304,0.00033142586,0.000035982655,0.0001473939,0.00062938326],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032186923,0.00026973564,0.17746864,0.006661477,0.000022560438,0.00017655299,0.0008493022,0.000031871892,0.000011539996,0.013867207,0.009239796,0.79136914],"study_design_scores_gemma":[0.002620422,0.00064526295,0.3621482,0.0059038126,0.00005316676,0.00054416707,0.000050847437,0.015034631,0.00007230945,0.0076872823,0.6031555,0.002084373],"about_ca_topic_score_codex":0.0015230078,"about_ca_topic_score_gemma":0.00023824592,"teacher_disagreement_score":0.78928477,"about_ca_system_score_codex":0.00007961522,"about_ca_system_score_gemma":0.000053298525,"threshold_uncertainty_score":0.8089658},"labels":[],"label_agreement":null},{"id":"W2168225240","doi":"10.1002/jae.1186","title":"On nonparametric estimation of a hedonic price function","year":2010,"lang":"en","type":"article","venue":"Journal of Applied Econometrics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nonparametric statistics; Econometrics; Parametric statistics; Function (biology); Specification; Estimation; Computer science; Semiparametric regression; Semiparametric model; Parametric model; Economics; Statistics; Mathematics","score_opus":0.01790411256590949,"score_gpt":0.20089290186962497,"score_spread":0.18298878930371548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168225240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82205987,0.00010938812,0.015097302,0.00007438744,0.0017719414,0.00014901298,0.000017688186,0.0000143191555,0.16070612],"genre_scores_gemma":[0.99337155,0.00021290386,0.005981849,0.00012296191,0.0002110812,0.000004261698,0.0000045559304,0.000034981433,0.000055829387],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99772304,0.000005953245,0.0016431602,0.00027666014,0.000070078786,0.00028112347],"domain_scores_gemma":[0.9964114,0.0004178444,0.0025656316,0.00036591757,0.00008477732,0.00015446241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002028291,0.0001935295,0.0007260731,0.0033272838,0.00007159909,0.00008613269,0.00036101713,0.00021774716,0.00064302975],"category_scores_gemma":[0.0006810069,0.00021965333,0.00024607364,0.0016982793,0.00006401585,0.0003489593,0.000041219868,0.0005627321,0.00034367194],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00070355047,0.0008944415,0.008476543,0.000144394,0.00029452294,0.0000036956649,0.0003726747,0.04451814,0.00020902426,0.84625655,0.0017889291,0.09633751],"study_design_scores_gemma":[0.007117351,0.0026236223,0.06587139,0.000057438487,0.00015084281,0.00008638611,0.0002757855,0.07397516,0.002153662,0.79140764,0.054620646,0.0016600841],"about_ca_topic_score_codex":0.000007400463,"about_ca_topic_score_gemma":0.0000027371095,"teacher_disagreement_score":0.17131174,"about_ca_system_score_codex":0.0001755117,"about_ca_system_score_gemma":0.00006759684,"threshold_uncertainty_score":0.8957203},"labels":[],"label_agreement":null},{"id":"W2169341071","doi":"","title":"THE WEALTH OF OLDER AMERICANS AND THE SUB-PRIME DEBACLE","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Boom; Economic bubble; Home equity; Economics; Real estate; Quarter (Canadian coin); Equity (law); Survey data collection; Asset (computer security); Pension; National wealth; Financial crisis; Demographic economics; Monetary economics; Labour economics; Finance; Macroeconomics; Geography; Political science","score_opus":0.007772309267472518,"score_gpt":0.2019536116496565,"score_spread":0.19418130238218398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169341071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94199246,0.015421057,0.0047977925,0.012537495,0.00026785827,0.00018113464,0.000003889402,0.000014108898,0.024784192],"genre_scores_gemma":[0.9486724,0.05057231,0.000036133926,0.0002423746,0.00011632549,0.000001377349,3.9410108e-7,0.000010442,0.00034824605],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984044,0.00003431566,0.00044475295,0.00013271272,0.000025204841,0.00095865596],"domain_scores_gemma":[0.9992104,0.00011034797,0.00042241998,0.00019291266,0.000018092365,0.000045805074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002994457,0.000094635485,0.0002586941,0.000055621633,0.0003486889,0.00007790329,0.00025873355,0.00003812108,0.000011380709],"category_scores_gemma":[0.000070999115,0.0000637963,0.00010296656,0.00010734655,0.00017379186,0.00009695076,0.00002040965,0.0006181117,0.000020040115],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000111011344,0.000028340632,0.0059873294,0.0000015220209,0.000082237675,2.434147e-7,0.0003551435,0.000013878384,0.000009117992,0.89391035,0.00016592786,0.09933487],"study_design_scores_gemma":[0.0014940324,0.00019631229,0.016722027,0.0000062582694,0.0000131229845,0.000089452595,0.0007060074,0.0011165894,0.000033197128,0.97075415,0.008714762,0.00015406313],"about_ca_topic_score_codex":0.00013377986,"about_ca_topic_score_gemma":0.00028736636,"teacher_disagreement_score":0.09918081,"about_ca_system_score_codex":0.00021486807,"about_ca_system_score_gemma":0.00022500263,"threshold_uncertainty_score":0.26854223},"labels":[],"label_agreement":null},{"id":"W2169382062","doi":"10.1080/00420980123880","title":"Estimating Distance Gradients for Apartment Properties","year":2001,"lang":"en","type":"article","venue":"Urban Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Apartment; Econometrics; Economics; Estimation; Sample (material); Downtown; Multiplicative function; City centre; Hedonic pricing; Property tax; Mathematics; Geography; Public economics","score_opus":0.09834187405984314,"score_gpt":0.251178649426176,"score_spread":0.1528367753663329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169382062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.840298,0.029967932,0.019535355,0.0011838549,0.004007978,0.0010658071,0.00010188566,0.0002287603,0.10361044],"genre_scores_gemma":[0.99127746,0.00068171107,0.0040974994,0.00012975173,0.00029254286,0.00015610711,0.000005417215,0.000024781408,0.0033347574],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989817,0.0000039348424,0.00040182885,0.0002978905,0.000015364454,0.00029927527],"domain_scores_gemma":[0.999531,0.000041500243,0.00017900944,0.00018061553,0.000030381922,0.00003754418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027777662,0.00013748628,0.00035875617,0.000064157495,0.00025684384,0.000051835672,0.000111164794,0.000029065432,0.000015720843],"category_scores_gemma":[0.00017441795,0.00013893493,0.00008407834,0.000071541246,0.000076138174,0.00014501343,0.00005107808,0.00004043489,0.00012215208],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002786947,0.00041701557,0.68801904,0.00061750336,0.0010419744,0.000013907119,0.014298734,0.0014936493,0.000015296355,0.19386928,0.069785275,0.03014962],"study_design_scores_gemma":[0.0021074838,0.00028250238,0.004691004,0.0001651444,0.000043367785,0.000013648092,0.0011114643,0.04959481,0.000084215346,0.117775805,0.8229687,0.0011618142],"about_ca_topic_score_codex":0.000008982674,"about_ca_topic_score_gemma":0.000017388955,"teacher_disagreement_score":0.7531835,"about_ca_system_score_codex":0.00013890074,"about_ca_system_score_gemma":0.0000050407716,"threshold_uncertainty_score":0.56656027},"labels":[],"label_agreement":null},{"id":"W2169996548","doi":"10.2139/ssrn.2445119","title":"Sunk Costs and the Measurement of Commercial Property Depreciation","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Depreciation (economics); Sunk costs; Economics; Property (philosophy); Econometrics; Monetary economics; Business; Microeconomics","score_opus":0.01782438195353742,"score_gpt":0.18978725628364207,"score_spread":0.17196287433010465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169996548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78794014,0.004124207,0.03356369,0.0050371876,0.00082543504,0.00043529557,0.0000057248453,0.000023435941,0.1680449],"genre_scores_gemma":[0.99559075,0.003965215,0.000032799155,0.000094798794,0.00018268086,0.000003349275,7.1915275e-7,0.000011810007,0.00011786938],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99879056,0.000048040896,0.0004091225,0.0001217638,0.000040899078,0.0005895846],"domain_scores_gemma":[0.9993995,0.000042273907,0.00035402618,0.00012575924,0.000046102392,0.00003236366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070943083,0.00008079406,0.00025052048,0.00006853147,0.00016473817,0.000049827704,0.00015035835,0.00004613146,0.000015932388],"category_scores_gemma":[0.00020690041,0.000055166794,0.000072124356,0.000054726926,0.000075749995,0.000111652254,0.00002575561,0.00042974413,0.000018872171],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024860972,0.00004226403,0.034820978,0.000008086883,0.00012125838,5.219923e-8,0.00029540906,0.000056514815,0.0000107774285,0.79810727,0.00013526966,0.16615352],"study_design_scores_gemma":[0.00461529,0.00025290233,0.014801181,0.000025002615,0.0000320099,0.000044514032,0.00025788078,0.00795284,0.000050438084,0.94173276,0.029957553,0.00027762275],"about_ca_topic_score_codex":0.00027477258,"about_ca_topic_score_gemma":0.0016381991,"teacher_disagreement_score":0.20765063,"about_ca_system_score_codex":0.00056988484,"about_ca_system_score_gemma":0.00014460373,"threshold_uncertainty_score":0.24587598},"labels":[],"label_agreement":null},{"id":"W2170979996","doi":"10.1007/978-4-431-55942-9_7","title":"New Estimates for the Price of Housing in the Japanese CPI","year":2020,"lang":"en","type":"book-chapter","venue":"Advances in Japanese business and economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economics; Econometrics","score_opus":0.026805123083437465,"score_gpt":0.22332519234064777,"score_spread":0.1965200692572103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170979996","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032530043,0.08966158,0.001115175,0.0066134008,0.0034460465,0.003467715,0.00084829103,0.000078866746,0.8622389],"genre_scores_gemma":[0.79807806,0.17768632,0.0044876244,0.0019593423,0.0019939912,0.00022289371,0.00031318338,0.00051531155,0.014743284],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99762154,0.000007069463,0.0012883176,0.00067614287,0.000028804641,0.00037814336],"domain_scores_gemma":[0.9975914,0.0008369366,0.00092831603,0.00053637766,0.000038744034,0.00006827806],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00076203374,0.0004580877,0.0011398456,0.00025747527,0.00012487463,0.00015197154,0.0006723077,0.00028453566,0.000078240286],"category_scores_gemma":[0.00017960118,0.00039175828,0.00014971595,0.00014678139,0.00020551441,0.0005665867,0.00014986726,0.0003334992,0.000022642662],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009571224,0.00015181692,0.012872663,0.0025192925,0.00036951934,0.000024970166,0.01643605,0.041490514,0.0000022550494,0.84429574,0.0014650408,0.07941502],"study_design_scores_gemma":[0.0021613664,0.00011023342,0.003431803,0.00038040604,0.00009112421,0.000030464385,0.0014347641,0.018192777,0.0000024934025,0.333602,0.6391557,0.0014068873],"about_ca_topic_score_codex":0.00046518398,"about_ca_topic_score_gemma":0.0015466769,"teacher_disagreement_score":0.8474956,"about_ca_system_score_codex":0.000122034304,"about_ca_system_score_gemma":0.00008263121,"threshold_uncertainty_score":0.99985343},"labels":[],"label_agreement":null},{"id":"W2171562852","doi":"","title":"Government Regulation and Changes in the Affordable Housing Stock","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Affordable housing; Stock (firearms); Government (linguistics); Public administration; Real estate; Business; Finance; Economic growth; Political science; Economics; Engineering","score_opus":0.014535108246265204,"score_gpt":0.19710218297654467,"score_spread":0.18256707473027947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171562852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97260106,0.0022026645,0.0016527325,0.00492987,0.000104687824,0.00010542109,0.0000027454944,0.000008315048,0.01839249],"genre_scores_gemma":[0.99268574,0.0061605335,0.00014847462,0.00021857368,0.00029635135,0.0000036846452,8.56765e-7,0.000013200352,0.00047259248],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987406,0.000017489152,0.00025172607,0.00013996815,0.0000355608,0.0008146165],"domain_scores_gemma":[0.99965036,0.00002703734,0.00018447332,0.00010917863,0.000004703329,0.00002424775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023952785,0.00008472491,0.00014405101,0.000067856956,0.0001266455,0.00010785148,0.00012746107,0.000046554218,0.00004402417],"category_scores_gemma":[0.000022878969,0.00007826534,0.000031731946,0.00008070729,0.000019515506,0.00021387843,0.00002011732,0.00046648385,0.000022638356],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007061694,0.00011096354,0.09136022,0.000010115237,0.00006282584,0.0000013880607,0.0019930468,0.0012490998,0.000032966098,0.6529187,0.00025869493,0.25193137],"study_design_scores_gemma":[0.0020299486,0.0003648726,0.044917762,0.00003236073,0.00001723504,0.00029076068,0.0036363783,0.022336312,0.00005192433,0.7681155,0.15762587,0.0005810622],"about_ca_topic_score_codex":0.000056721263,"about_ca_topic_score_gemma":0.005512401,"teacher_disagreement_score":0.2513503,"about_ca_system_score_codex":0.0009753247,"about_ca_system_score_gemma":0.00006144607,"threshold_uncertainty_score":0.3191568},"labels":[],"label_agreement":null},{"id":"W2171806630","doi":"","title":"Asset Pricing with Idiosyncratic Consumption Risk and Limited Participation","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Capital asset pricing model; Econometrics; Economics; Stochastic discount factor; Asset (computer security); Imperfect; Consumption (sociology); Risk aversion (psychology); Identification (biology); Mutual fund separation theorem; Sample (material); Microeconomics; Financial economics; Expected utility hypothesis; Computer science","score_opus":0.053156127394588706,"score_gpt":0.29185125129435957,"score_spread":0.23869512389977088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171806630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94487137,0.000327143,0.00024481796,0.00018058831,0.0003084223,0.00083512976,0.00014214661,0.000061830106,0.053028557],"genre_scores_gemma":[0.97027016,0.02769308,0.00123425,0.00004967086,0.00014169203,0.00020286647,0.00011062835,0.00009924224,0.00019842038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996412,0.0001462953,0.001220158,0.0012921317,0.00006803091,0.0008614246],"domain_scores_gemma":[0.9975977,0.00041802396,0.00079098094,0.0008955774,0.00006003019,0.00023769504],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0030807876,0.00041167854,0.00094345736,0.0009397739,0.00027408433,0.0004374882,0.00035403646,0.00053641055,0.00011514025],"category_scores_gemma":[0.0005455466,0.000496717,0.000114152324,0.00015851788,0.00034058775,0.00028112324,0.00048503128,0.0015903467,0.000074389536],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003053937,0.00029851912,0.830397,0.00068226276,0.00027469484,0.000029951463,0.0013940067,0.07286391,0.000009215199,0.006415158,0.000022122817,0.08730776],"study_design_scores_gemma":[0.0054643094,0.0006941797,0.612787,0.0013109226,0.00008747086,0.000039433868,0.0005485565,0.2847225,0.000113557195,0.0821101,0.009227139,0.0028948297],"about_ca_topic_score_codex":0.00040424863,"about_ca_topic_score_gemma":0.00105908,"teacher_disagreement_score":0.21761,"about_ca_system_score_codex":0.0014757811,"about_ca_system_score_gemma":0.00025817772,"threshold_uncertainty_score":0.99974847},"labels":[],"label_agreement":null},{"id":"W2171983064","doi":"10.1080/00420980123221","title":"Housing Allowances in the US under Section 8 and in Other Countries: A Canadian Perspective","year":2001,"lang":"en","type":"article","venue":"Urban Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Landlord; Voucher; Element (criminal law); Section (typography); Economics; Government (linguistics); Agency (philosophy); Consumption (sociology); Public economics; Leasehold estate; Business; Accounting; Law; Political science; Sociology","score_opus":0.04339705889374081,"score_gpt":0.24076535751149528,"score_spread":0.19736829861775446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171983064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9128769,0.008578379,0.000011836972,0.0020290362,0.0002454356,0.00011633641,0.0000089089,0.0000084263675,0.076124735],"genre_scores_gemma":[0.995045,0.003639744,0.000020142796,0.0010000337,0.00012434686,0.000013585472,3.8787556e-7,0.000010355353,0.00014642016],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993238,0.000015132912,0.00020819886,0.00021119538,0.000013536276,0.00022814696],"domain_scores_gemma":[0.9997369,0.00006570852,0.00006468339,0.0000946984,0.000014776971,0.000023247658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045592396,0.0000926812,0.00021579393,0.00023808451,0.00012790666,0.00006567376,0.00006653444,0.00004481294,0.000025848289],"category_scores_gemma":[0.000049807917,0.000087435015,0.000021432972,0.00018391332,0.00009310567,0.00013693838,0.000015316866,0.00009762313,0.000019301477],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016163476,0.000013708826,0.9630737,0.0000060231623,0.000035253102,0.000007797818,0.015746046,0.00020393453,1.6165363e-7,0.019977953,0.00081433385,0.00010493078],"study_design_scores_gemma":[0.0009795036,0.000056204357,0.6575787,0.00005768696,0.000008916552,0.000012109142,0.049950942,0.0010109579,0.0000011201133,0.066347316,0.22353658,0.0004599276],"about_ca_topic_score_codex":0.13122621,"about_ca_topic_score_gemma":0.7824616,"teacher_disagreement_score":0.6512354,"about_ca_system_score_codex":0.00050786935,"about_ca_system_score_gemma":0.000025121091,"threshold_uncertainty_score":0.87455904},"labels":[],"label_agreement":null},{"id":"W2174513632","doi":"10.1111/caje.12143","title":"Consumption inequality in Canada, 1997 to 2009","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Inequality; Consumption (sociology); Gini coefficient; Imputation (statistics); Economics; Econometrics; Demographic economics; Renting; Economic inequality; Statistics; Mathematics; Sociology; Missing data","score_opus":0.22838945456396406,"score_gpt":0.19424253745133693,"score_spread":0.03414691711262713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2174513632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98680276,0.00036996932,0.00010004727,0.002506556,0.002930201,0.00024892623,0.0007241817,0.0000050041535,0.006312381],"genre_scores_gemma":[0.99721724,0.00010807685,0.00051769137,0.001466596,0.00040913877,0.000012392706,0.000023701505,0.000057562498,0.00018762921],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965163,0.000048690556,0.0019484874,0.00047665834,0.0000024916083,0.001007396],"domain_scores_gemma":[0.9951075,0.00009845655,0.0009199572,0.00048506373,0.00012129967,0.0032677583],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021049269,0.00031530144,0.0010459387,0.0012022366,0.00008110595,0.00014274365,0.00066938595,0.00017632161,0.00036638632],"category_scores_gemma":[0.0005621965,0.00046020173,0.00014912021,0.00021730387,0.0000674224,0.00053238927,0.000034429606,0.00039750402,0.00022841281],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00014106251,0.000021251368,0.7009887,0.000040583003,0.000088070716,0.00023170644,0.0019845625,0.026000727,8.8771515e-7,0.2580056,0.009574013,0.002922813],"study_design_scores_gemma":[0.004308678,0.00062632776,0.0821584,0.00022259561,0.000030843097,0.0005783375,0.0019307842,0.010112783,0.00005564389,0.49483883,0.40269685,0.0024399138],"about_ca_topic_score_codex":0.9925584,"about_ca_topic_score_gemma":0.99997455,"teacher_disagreement_score":0.6188303,"about_ca_system_score_codex":0.013760008,"about_ca_system_score_gemma":0.007842601,"threshold_uncertainty_score":0.99978495},"labels":[],"label_agreement":null},{"id":"W21767408","doi":"10.1186/1471-2288-11-108","title":"マクロ経済学入門 スポーツの経済効果をどのように測るか (特集 スポーツで入門! 経済学)","year":2013,"lang":"en","type":"article","venue":"経済セミナー = The keizai seminar","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Geography","score_opus":0.01912205533883328,"score_gpt":0.17958113063556944,"score_spread":0.16045907529673614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W21767408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5115249,0.0015576116,0.0007753107,0.0054510958,0.001786699,0.00066342996,0.000058651214,0.00021321564,0.47796905],"genre_scores_gemma":[0.97686046,0.000975613,0.0007523697,0.0015865403,0.00064521807,0.00010966742,0.000025136189,0.0001015975,0.018943401],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976939,0.000035761615,0.0008385414,0.00061561324,0.0000564216,0.0007597714],"domain_scores_gemma":[0.9980904,0.0001991136,0.00041476713,0.0010581975,0.00004834368,0.0001891918],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00091072865,0.0003450385,0.0005667475,0.00018200366,0.0004052464,0.0003676385,0.0008624086,0.00021361136,0.004556975],"category_scores_gemma":[0.00017848655,0.00031426904,0.00025560465,0.0003043423,0.00018796911,0.00055359094,0.00023653277,0.00034582897,0.021112569],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008825129,0.0005607837,0.09604637,0.00016830611,0.00042610517,0.000031355085,0.005744493,0.00041822853,0.0005861244,0.22188511,0.603749,0.07029588],"study_design_scores_gemma":[0.0008875753,0.00014644199,0.018213758,0.000056570585,0.000028336832,0.00005163793,0.00069617986,0.009924505,0.0004495396,0.12260232,0.84576756,0.0011755597],"about_ca_topic_score_codex":0.00073753466,"about_ca_topic_score_gemma":0.000037025173,"teacher_disagreement_score":0.46533552,"about_ca_system_score_codex":0.0001718199,"about_ca_system_score_gemma":0.000031404772,"threshold_uncertainty_score":0.9999309},"labels":[],"label_agreement":null},{"id":"W2177830104","doi":"10.1080/10835547.2003.12091586","title":"Valuation without Value Theory: A North American “Appraisal”","year":2003,"lang":"en","type":"article","venue":"Journal of Real Estate Practice and Education","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Valuation (finance); Positive economics; Real estate; Estate; Competence (human resources); Value (mathematics); Critical appraisal; Economics; Foundation (evidence); Sociology; Epistemology; Management; Law; Political science; Accounting; Computer science; Philosophy; Finance","score_opus":0.025571636963724265,"score_gpt":0.2999846071371363,"score_spread":0.27441297017341204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2177830104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84840465,0.00012467564,0.0019325286,0.0009903044,0.00080196327,0.000068860354,0.0000024052817,0.0000059886934,0.1476686],"genre_scores_gemma":[0.97172755,0.019986734,0.007667358,0.00024989826,0.00019135425,0.0000034081595,0.0000044351227,0.000018059634,0.00015119795],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99903077,0.00012047206,0.00052829535,0.00013944008,0.000038990052,0.00014202183],"domain_scores_gemma":[0.99779487,0.00035122014,0.001497142,0.00012048463,0.00012890971,0.000107390995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00239078,0.000094507166,0.0002519162,0.0001938585,0.00008766554,0.00011778174,0.00006750423,0.000027968841,0.000019008019],"category_scores_gemma":[0.0018434408,0.00009943184,0.000050077717,0.00018093911,0.00005231689,0.0010018683,0.0000075461357,0.0001669552,0.000034254135],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035106615,0.00053335325,0.3192377,0.00003711449,0.00015476218,0.0000031578984,0.006913316,0.00039845367,0.000011512346,0.12096905,0.0011015366,0.550289],"study_design_scores_gemma":[0.0011900726,0.000780059,0.2511846,0.000037524263,0.00020901582,0.0005458942,0.0111203,0.001152036,0.000038762224,0.06278997,0.6703828,0.0005689666],"about_ca_topic_score_codex":0.00045124625,"about_ca_topic_score_gemma":0.000049813454,"teacher_disagreement_score":0.66928124,"about_ca_system_score_codex":0.00009438239,"about_ca_system_score_gemma":0.00024010154,"threshold_uncertainty_score":0.40547127},"labels":[],"label_agreement":null},{"id":"W2178201418","doi":"10.1111/1540-6229.12121","title":"A Spatiotemporal Solution for the Simultaneous Sale Price and Time‐on‐the‐Market Problem","year":2015,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"Fonds de Recherche du Québec-Société et Culture","keywords":"Economics; Quality (philosophy); Order (exchange); Market price; Microeconomics; Space (punctuation); Instrumental variable; Business; Econometrics; Computer science; Finance","score_opus":0.035326358413436544,"score_gpt":0.21320392766102683,"score_spread":0.1778775692475903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2178201418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5675378,0.00013172302,0.0034694881,0.0066204495,0.00082759786,0.0015352494,0.00041309805,0.000109194356,0.4193554],"genre_scores_gemma":[0.9808454,0.008138948,0.0041711577,0.00068809517,0.0005097993,0.00018739628,0.000067218076,0.00012985404,0.005262166],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99855465,0.00002394237,0.00058381865,0.00042235779,0.000017632297,0.0003975757],"domain_scores_gemma":[0.9980314,0.00095889607,0.0004270115,0.00039400943,0.00004636212,0.00014235715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016966916,0.00021362658,0.00034667068,0.00008112963,0.00027046257,0.0002208646,0.0002680896,0.00011132388,0.00006570118],"category_scores_gemma":[0.00023669185,0.00018338049,0.00009651132,0.00006924126,0.00013256307,0.0002145158,0.00008235682,0.00014262031,0.00031911605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029502707,0.00060613576,0.0143480385,0.00027550547,0.0008961861,0.000015443748,0.008957663,0.06539754,0.000022095217,0.3704326,0.121278055,0.4148205],"study_design_scores_gemma":[0.00075034937,0.0001796825,0.0003047466,0.000007285896,0.000012382548,0.000009212381,0.0001239309,0.6652279,0.000010604922,0.025839778,0.30722013,0.00031403083],"about_ca_topic_score_codex":0.00053659297,"about_ca_topic_score_gemma":0.00018274524,"teacher_disagreement_score":0.5998303,"about_ca_system_score_codex":0.00027596578,"about_ca_system_score_gemma":0.00008165005,"threshold_uncertainty_score":0.7478039},"labels":[],"label_agreement":null},{"id":"W2178443321","doi":"10.1162/rest_a_00553","title":"Paving Streets for the Poor: Experimental Analysis of Infrastructure Effects","year":2016,"lang":"en","type":"article","venue":"The Review of Economics and Statistics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":114,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Valuation (finance); Residential property; Consumption (sociology); Business; Estimation; Property value; Property (philosophy); Natural resource economics; Agricultural economics; Environmental economics; Economics; Finance; Economic geography; Real estate","score_opus":0.016788183934718516,"score_gpt":0.2411959901372738,"score_spread":0.2244078062025553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2178443321","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5139707,0.29615524,0.15790804,0.004319233,0.00175396,0.0032645264,0.013649707,0.00002780822,0.008950822],"genre_scores_gemma":[0.7299754,0.26610607,0.0034380334,0.0003104606,0.000048794256,0.000029091994,0.000021008396,0.000019677398,0.000051482373],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99889255,0.000017378492,0.0007314616,0.00019272143,0.00001123333,0.00015463334],"domain_scores_gemma":[0.9977853,0.0010922882,0.0007143628,0.0003433736,0.00002821116,0.000036475532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007527297,0.00012960222,0.00069675763,0.000080415004,0.000085957785,0.000020102943,0.0002368202,0.000039927167,0.00010131843],"category_scores_gemma":[0.00019917071,0.000077308556,0.00017693921,0.00009250142,0.00015546585,0.000059739858,0.00006859689,0.00003847606,0.000003192048],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033475928,0.000037754766,0.005932532,0.001503187,0.0014063835,1.5624795e-7,0.0002222919,0.00023754955,0.000024983503,0.8642184,0.0020689743,0.12431428],"study_design_scores_gemma":[0.0052264472,0.0010737622,0.108152695,0.00371952,0.005677097,0.000012843254,0.0005300911,0.2058847,0.0017485352,0.31542867,0.35028496,0.0022606584],"about_ca_topic_score_codex":0.00003611944,"about_ca_topic_score_gemma":0.0000307139,"teacher_disagreement_score":0.54878974,"about_ca_system_score_codex":0.000042248874,"about_ca_system_score_gemma":0.000019165713,"threshold_uncertainty_score":0.31525517},"labels":[],"label_agreement":null},{"id":"W2178648767","doi":"10.5539/ijef.v7n12p200","title":"The Economical Factors Affecting Residential Property Price: The Case of Penang Island","year":2015,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Residence; Christian ministry; Valuation (finance); Residential property; Statistic; Product (mathematics); Service (business); Gross domestic product; Business; Economics; Finance; Actuarial science; Economy; Economic growth; Demographic economics; Mathematics; Statistics","score_opus":0.03579752937708203,"score_gpt":0.238401325276488,"score_spread":0.20260379589940597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2178648767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98777,0.0008682174,0.00011215879,0.0014277094,0.001995132,0.000089014495,0.000040165793,0.0000021596818,0.007695431],"genre_scores_gemma":[0.99477196,0.0043265927,0.00018310809,0.000048653095,0.00040760837,0.0000014737768,0.0000013838692,0.000015821035,0.00024341416],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986337,0.000023492377,0.00096971594,0.00017417873,0.000020473817,0.00017847365],"domain_scores_gemma":[0.9980301,0.00025998295,0.0013449346,0.0001781078,0.00012859119,0.000058263886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016161797,0.0001282789,0.00032712665,0.00010542405,0.00014984855,0.0002463908,0.00048341273,0.00006696672,0.0000133975445],"category_scores_gemma":[0.00028895578,0.000080641315,0.00014472543,0.000038354698,0.00016511907,0.0003882725,0.00013274961,0.00019946568,0.000009474323],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001877294,0.00043824734,0.16257894,0.00005045405,0.0018529285,0.00050823257,0.014446643,0.03848302,0.000021599748,0.69277734,0.012407834,0.07455745],"study_design_scores_gemma":[0.00787798,0.00092739396,0.027556539,0.00016315842,0.00008671265,0.0072937645,0.008301965,0.12824051,0.0006300729,0.2496412,0.567863,0.001417732],"about_ca_topic_score_codex":0.0003277863,"about_ca_topic_score_gemma":0.00049745146,"teacher_disagreement_score":0.55545515,"about_ca_system_score_codex":0.0001460764,"about_ca_system_score_gemma":0.00009402396,"threshold_uncertainty_score":0.32884574},"labels":[],"label_agreement":null},{"id":"W2183222229","doi":"10.19030/jabr.v29i1.7564","title":"Is There A Periodically Collapsing Bubble In The Indian Real Estate Market?","year":2012,"lang":"en","type":"article","venue":"Journal of Applied Business Research (JABR)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Bubble; Real estate; Momentum (technical analysis); Economics; Economic bubble; Econometrics; Financial economics; Keynesian economics; Monetary economics; Mechanics; Finance; Physics","score_opus":0.06438196927055516,"score_gpt":0.29563567879602726,"score_spread":0.23125370952547208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2183222229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6192848,0.00019544382,0.000041677824,0.0018579734,0.00022951534,0.00020422325,0.000012616979,0.00000550395,0.37816823],"genre_scores_gemma":[0.9916628,0.006605833,0.00063285703,0.0001995233,0.0006130964,0.00001689362,0.0000025265053,0.0000418664,0.00022463147],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99752563,0.00009088802,0.001018806,0.0002344951,0.00023382324,0.00089636917],"domain_scores_gemma":[0.9983396,0.0003314522,0.0005351787,0.00038691098,0.00020200331,0.00020485655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010220422,0.00018446067,0.0005326841,0.0008159066,0.00030086108,0.00046718644,0.0007737078,0.00017117037,0.00090981723],"category_scores_gemma":[0.00026404,0.00015360535,0.00011547996,0.0012350491,0.00022507244,0.0005335893,0.00013943408,0.0008627487,0.00022844001],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0042245947,0.0029020926,0.6119102,0.00091471424,0.0004830073,0.00049111684,0.072266534,0.0005567661,0.00058295066,0.05034474,0.096567616,0.15875563],"study_design_scores_gemma":[0.0021433325,0.000111006564,0.44645682,0.00011931971,0.000011128413,0.00012789633,0.006606051,0.00048457502,0.00007215623,0.012883234,0.530481,0.00050350046],"about_ca_topic_score_codex":0.0005490532,"about_ca_topic_score_gemma":0.00011921182,"teacher_disagreement_score":0.43391335,"about_ca_system_score_codex":0.0003463858,"about_ca_system_score_gemma":0.0003812974,"threshold_uncertainty_score":0.9961861},"labels":[],"label_agreement":null},{"id":"W2183771172","doi":"10.3905/jsf.2011.17.3.019","title":"Diversified Mortgage Guarantee Model: <i>Securitization</i><i>through TBA</i>","year":2011,"lang":"en","type":"article","venue":"The journal of structured finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Doug Bragg Enterprises (Canada)","funders":"","keywords":"Securitization; Business; Finance; Financial system; Secondary mortgage market; Private equity; Mortgage insurance; Disintermediation; Private placement; Investment banking; Insurance policy; General insurance","score_opus":0.036114111313136826,"score_gpt":0.19843127385671727,"score_spread":0.16231716254358045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2183771172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7985296,0.002594053,0.11661644,0.00033601501,0.00232553,0.00029267956,0.00019957605,0.000043228203,0.07906284],"genre_scores_gemma":[0.990101,0.0025353187,0.006398297,0.00048252702,0.00017989878,0.0000018565399,0.0000033592705,0.000036830283,0.00026094844],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99838346,0.00002182186,0.00096466014,0.00022987627,0.00006288101,0.00033731834],"domain_scores_gemma":[0.99824584,0.000033379372,0.0011754066,0.0004057867,0.00009660231,0.000042960142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005648112,0.0002187113,0.0004940513,0.00011608519,0.00022425932,0.000047139652,0.0007134951,0.00014429935,0.00012881645],"category_scores_gemma":[0.000032213935,0.0001994803,0.00020228936,0.00022284302,0.00013054111,0.0005581818,0.00008023596,0.0004134383,0.00005211561],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022547827,0.00054042146,0.048382588,0.00019850837,0.00081034575,0.00021447903,0.056546792,0.0707354,0.00047673346,0.7615028,0.041389473,0.016947677],"study_design_scores_gemma":[0.0027823863,0.00024506313,0.009234482,0.000074149626,0.00008307259,0.0002655611,0.00052378525,0.039646376,0.0009516521,0.89289874,0.052386362,0.0009083925],"about_ca_topic_score_codex":0.00009756092,"about_ca_topic_score_gemma":0.00004703569,"teacher_disagreement_score":0.19157133,"about_ca_system_score_codex":0.000084024454,"about_ca_system_score_gemma":0.000053016236,"threshold_uncertainty_score":0.8134571},"labels":[],"label_agreement":null},{"id":"W2184397651","doi":"","title":"Has house price growth in Canadian cities been excessive?","year":2014,"lang":"en","type":"other","venue":"Econstor (Econstor)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Business","score_opus":0.01750493344247492,"score_gpt":0.19028400007764537,"score_spread":0.17277906663517045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2184397651","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046719633,0.0028698023,0.00006604115,0.0005415848,0.0041652815,0.0005613848,0.0008275067,0.0003664243,0.94388235],"genre_scores_gemma":[0.5518812,0.0033491405,0.0010225459,0.0017236654,0.0030770202,0.00022878106,0.00020069182,0.002615329,0.43590164],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956103,0.00006759813,0.0014263471,0.0013355764,0.00005998653,0.001500199],"domain_scores_gemma":[0.9968662,0.00016498606,0.0012537058,0.00095745246,0.00003488911,0.00072276883],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010794239,0.0008318255,0.0018223856,0.0029529522,0.00023788618,0.00037036312,0.0009532797,0.001112059,0.017044207],"category_scores_gemma":[0.00029148743,0.0011440424,0.00035087165,0.00032775113,0.000573007,0.00030083666,0.00013136465,0.000739818,0.011275094],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007607161,0.00003862923,0.6655753,0.00012577488,0.000112910435,0.0000321644,0.0002471676,0.000005496034,1.6517063e-7,0.015932681,0.31775114,0.00017093107],"study_design_scores_gemma":[0.00092015293,0.00004217951,0.03614787,0.00020694066,0.000019364865,0.000025330048,0.00006241843,0.00017406303,0.0000024251221,0.0028848248,0.9580478,0.0014666192],"about_ca_topic_score_codex":0.29707843,"about_ca_topic_score_gemma":0.5849862,"teacher_disagreement_score":0.64029664,"about_ca_system_score_codex":0.0016201132,"about_ca_system_score_gemma":0.0009614976,"threshold_uncertainty_score":0.999101},"labels":[],"label_agreement":null},{"id":"W2184815334","doi":"","title":"A Practical Accounting Approach for Heritage Assets under Accrual Accounting: With Special Focus on Egypt","year":2014,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Accounting; Balance sheet; Accrual; Fixed asset; Revenue; Accounting information system; Business; Assets under management; Financial statement; Book value; Mark-to-market accounting; Finance; Financial accounting; Actuarial science; Economics; Audit; Production (economics)","score_opus":0.048300792754998885,"score_gpt":0.24748356867249113,"score_spread":0.19918277591749226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2184815334","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.114269845,0.0000069139483,0.17759378,0.0013818694,0.00046553518,0.00044008036,0.000023313232,0.00010574734,0.7057129],"genre_scores_gemma":[0.95747066,0.000009819958,0.03825698,0.0006947637,0.0024715888,0.000056762467,0.000026599013,0.000086319276,0.00092652655],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980635,0.00001694674,0.0005738085,0.0007001755,0.000054232343,0.00059134903],"domain_scores_gemma":[0.99872965,0.0003230308,0.0003978627,0.0004012734,0.000042258285,0.00010591547],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013071278,0.00027700156,0.00053355866,0.00018868831,0.00023605846,0.00047081357,0.00023721022,0.00020351962,0.00039661655],"category_scores_gemma":[0.00029294894,0.00027642422,0.0001384604,0.00014965271,0.00006475729,0.0005898087,0.00007138153,0.0002525765,0.00031964618],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037714682,0.00041851297,0.024153609,0.00006195294,0.00011910182,0.000001759426,0.00015951598,0.00053015933,0.00000629773,0.95658255,0.011529118,0.0060602883],"study_design_scores_gemma":[0.011930657,0.0019001684,0.039269686,0.0000746722,0.00011773034,0.000088141955,0.0018161403,0.26643464,0.00039891672,0.16455469,0.5089059,0.0045086658],"about_ca_topic_score_codex":0.000057517896,"about_ca_topic_score_gemma":0.00008318796,"teacher_disagreement_score":0.8432008,"about_ca_system_score_codex":0.00014257287,"about_ca_system_score_gemma":0.00004523397,"threshold_uncertainty_score":0.99996877},"labels":[],"label_agreement":null},{"id":"W2184827832","doi":"","title":"Assessment of Dubai Real Estate Trust Accounts Law and Issues of Business: Evidence from Ontario and Utah","year":2011,"lang":"en","type":"article","venue":"The Journal of Business Inquiry","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Certificate; Real estate; Payment; Agency (philosophy); Business; State law; Accounting; Law; Finance; Political science; Sociology; Computer science","score_opus":0.10646645913875308,"score_gpt":0.2758699527209516,"score_spread":0.16940349358219853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2184827832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876681,0.000973635,0.0005770052,0.00020904554,0.0006152729,0.00007688817,0.000020342992,0.0000037850446,0.009855901],"genre_scores_gemma":[0.9568667,0.040919133,0.0019518549,0.00004861916,0.00015816289,7.947942e-7,0.0000014857878,0.000018468116,0.000034793928],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985883,0.000032911375,0.0009976451,0.0001560149,0.000062309504,0.0001628244],"domain_scores_gemma":[0.99776924,0.00015693804,0.0014542857,0.00028215215,0.00028291726,0.000054452856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013969787,0.00015716827,0.0006662856,0.00015612761,0.000071492206,0.000045406934,0.00029282423,0.000084872765,0.00023168868],"category_scores_gemma":[0.000095896256,0.00013114921,0.000045241068,0.00018596546,0.00043103407,0.0008066831,0.00013451316,0.00016585062,0.0000026542252],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007704987,0.00028005612,0.9494908,0.00025644293,0.00034739167,0.000020048856,0.029120566,0.00037329117,0.0005051022,0.004632297,0.00024388824,0.013959626],"study_design_scores_gemma":[0.0005657999,0.000080843136,0.9914814,0.00024303076,0.00006740272,0.000029521896,0.0005379152,0.00028673833,0.00013287226,0.0052516507,0.0011626208,0.00016017507],"about_ca_topic_score_codex":0.05629362,"about_ca_topic_score_gemma":0.005493233,"teacher_disagreement_score":0.050800387,"about_ca_system_score_codex":0.00008055076,"about_ca_system_score_gemma":0.00012070999,"threshold_uncertainty_score":0.94999063},"labels":[],"label_agreement":null},{"id":"W2184934900","doi":"","title":"Asset Prices and Armageddon: Do Evangelicals' 'End Times'Beliefs Aect U.S. House Prices?","year":2008,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Proxy (statistics); Quarter (Canadian coin); Asset (computer security); Economics; House price; Metropolitan area; Panel data; Econometrics; Geography; Mathematics; Statistics","score_opus":0.02997470606928589,"score_gpt":0.21136974935027425,"score_spread":0.18139504328098835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2184934900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5675499,0.0020248785,0.00072247395,0.0006494859,0.00036827163,0.00022982075,0.000045414676,0.0002502077,0.4281596],"genre_scores_gemma":[0.9844414,0.0068167653,0.0044009304,0.00076332205,0.00030588615,0.00002163315,0.0000125163915,0.00008747148,0.0031501055],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981512,0.000013630234,0.00066209264,0.0006504033,0.0000439003,0.0004787619],"domain_scores_gemma":[0.99885595,0.00013103634,0.00032560612,0.00045321914,0.000025540407,0.00020865185],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006600021,0.00026772835,0.00054568786,0.00026140068,0.0002720641,0.0001896565,0.00026782227,0.0001707765,0.0021114561],"category_scores_gemma":[0.00010627775,0.0002908797,0.00011755196,0.00022516382,0.00015442057,0.00053459033,0.00014279991,0.0002216906,0.0024495644],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001844676,0.0010169623,0.65855193,0.00028328082,0.00049272407,0.0001539029,0.0042690444,0.00018324479,0.000094969655,0.1423316,0.15809451,0.03434337],"study_design_scores_gemma":[0.0016934753,0.00021085108,0.17291316,0.000021307122,0.000019358778,0.00014438054,0.0000956458,0.0033131314,0.00017528012,0.013059247,0.80707765,0.0012765168],"about_ca_topic_score_codex":0.00017100136,"about_ca_topic_score_gemma":0.00004441535,"teacher_disagreement_score":0.6489831,"about_ca_system_score_codex":0.000086716376,"about_ca_system_score_gemma":0.000032090775,"threshold_uncertainty_score":0.99995434},"labels":[],"label_agreement":null},{"id":"W2185231403","doi":"","title":"Extrapolative Expectations and House Prices in Canada","year":2011,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Economics; Rational expectations; Econometrics; Value (mathematics); Asset (computer security); Volatility (finance); Series (stratigraphy); Microeconomics; Financial economics; Mathematics; Statistics","score_opus":0.0441545343300234,"score_gpt":0.1801739442456044,"score_spread":0.136019409915581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2185231403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70718443,0.00014705688,0.00029508313,0.000044775377,0.00008567874,0.00004726592,0.000006723715,0.000013527743,0.29217544],"genre_scores_gemma":[0.99796265,0.000089450354,0.0017278389,0.00007403979,0.000010130927,0.000006898807,6.8083557e-7,0.000011217678,0.000117112795],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946314,0.0000022891384,0.00023442239,0.00015880165,0.0000060803513,0.00013524615],"domain_scores_gemma":[0.99976355,0.000027001113,0.000074111835,0.00008753244,0.000004262623,0.000043559994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000775073,0.000059700025,0.00013598993,0.00009471189,0.00003086914,0.000015109995,0.00005764476,0.00002146029,0.00045538362],"category_scores_gemma":[0.000016949563,0.00007086467,0.000011956528,0.000075499986,0.000016853079,0.00016090136,0.000017341039,0.000044469376,0.0000439583],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007681129,0.000022991058,0.86351097,0.0000051381094,0.000011578415,0.0000037173033,0.0046946867,0.0000036209583,7.974215e-7,0.12963645,0.00027815072,0.0018242182],"study_design_scores_gemma":[0.00050926383,0.000025492434,0.9520981,0.0000057189764,0.000002047485,0.0000027531414,0.00497455,0.004082558,0.00006809159,0.03463814,0.003226001,0.00036728324],"about_ca_topic_score_codex":0.856705,"about_ca_topic_score_gemma":0.95359147,"teacher_disagreement_score":0.29205832,"about_ca_system_score_codex":0.00013376483,"about_ca_system_score_gemma":0.00006412303,"threshold_uncertainty_score":0.49861315},"labels":[],"label_agreement":null},{"id":"W2186059360","doi":"","title":"From Nomads to Settlers: Scenario analysis as a guide for first home owners in renting versus buying a home in Perth, Western Australia.","year":2010,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Renting; Purchasing; Metropolitan area; Quarter (Canadian coin); Business; Economics; Economic rent; Finance; Demographic economics; Advertising; Marketing; Geography; Engineering; Microeconomics","score_opus":0.0510100392046865,"score_gpt":0.279603079975288,"score_spread":0.2285930407706015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2186059360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98905337,0.000016676591,0.0004699624,0.0015167888,0.0009953268,0.0002880991,0.00009955917,0.00003740641,0.0075227907],"genre_scores_gemma":[0.99355596,0.000027490567,0.0044211484,0.00018039628,0.00019668796,0.000055774995,0.00007228289,0.00003848035,0.0014517601],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975999,0.000009112026,0.0009937497,0.00075552036,0.000033339988,0.0006084026],"domain_scores_gemma":[0.9988507,0.00023651404,0.0002444504,0.00048462232,0.00002180088,0.00016192115],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00085636834,0.00024534587,0.0007293345,0.0012074333,0.00008936025,0.00027619966,0.00038125756,0.00021644369,0.00079434726],"category_scores_gemma":[0.0002559163,0.00029434115,0.0002513189,0.00078085315,0.000032999127,0.00036131786,0.000117775904,0.00026077687,0.00048762636],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020960237,0.00007675113,0.9922022,0.000018642368,0.00019392195,0.000008066372,0.0020202517,0.0027785932,0.000034846482,0.0010904538,0.0004158361,0.0009508296],"study_design_scores_gemma":[0.010253626,0.00025632608,0.80847067,0.00009661841,0.00017175583,0.0000027683066,0.002186339,0.06354845,0.00007142892,0.010290237,0.10214804,0.002503736],"about_ca_topic_score_codex":0.019475028,"about_ca_topic_score_gemma":0.17298977,"teacher_disagreement_score":0.18373154,"about_ca_system_score_codex":0.00029750864,"about_ca_system_score_gemma":0.000032263215,"threshold_uncertainty_score":0.9999509},"labels":[],"label_agreement":null},{"id":"W2187965852","doi":"","title":"Does air pollution feature lower housing price in Canada","year":2015,"lang":"en","type":"article","venue":"Saint Mary's University Institutional Repository (Saint Mary's University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Air quality index; Index (typography); Context (archaeology); Econometrics; Air pollution; Pollution; Proxy (statistics); Economics; Air Pollution Index; Lag; Price index; Environmental economics; Natural resource economics; Environmental science; Statistics; Mathematics; Computer science; Geography; Meteorology","score_opus":0.010505973568454806,"score_gpt":0.1539557266214853,"score_spread":0.14344975305303048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2187965852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7334725,0.00008571988,0.0015739845,0.0026001532,0.0031525677,0.00033705737,0.00017674665,0.000114916904,0.25848633],"genre_scores_gemma":[0.987709,0.00012943022,0.0007324031,0.00031462903,0.00019760718,2.9707616e-7,0.00006495274,0.00002332284,0.010828359],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99789506,0.00010885697,0.0003980726,0.0008070423,0.00017050559,0.00062048517],"domain_scores_gemma":[0.99849105,0.00006692134,0.00039290416,0.00047003813,0.00014793804,0.0004311631],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000434543,0.0003640567,0.00053952227,0.0010098198,0.00066656485,0.000061990904,0.00063785445,0.00026997592,0.000070917384],"category_scores_gemma":[0.00008643479,0.00043035214,0.00019573412,0.00092630764,0.00028007175,0.0011043424,0.00037960018,0.0005172458,0.000068619825],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023132071,0.00070560863,0.37210807,0.00015303792,0.00038761328,0.010325916,0.0006945265,0.082380496,0.00005624506,0.5171721,0.011995808,0.0017073425],"study_design_scores_gemma":[0.0020818627,0.000087650675,0.046612147,0.00008858478,0.000034098,0.00005704483,0.0015882616,0.0025068342,0.00003488318,0.0011330645,0.9449087,0.00086691906],"about_ca_topic_score_codex":0.585479,"about_ca_topic_score_gemma":0.31783864,"teacher_disagreement_score":0.9329128,"about_ca_system_score_codex":0.024870764,"about_ca_system_score_gemma":0.0027312587,"threshold_uncertainty_score":0.9998148},"labels":[],"label_agreement":null},{"id":"W2188166338","doi":"","title":"Your Texas Real Estate News","year":2006,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Fell; Quarter (Canadian coin); Business; Demographic economics; Economics; Economy; Finance; Geography","score_opus":0.029105587982422347,"score_gpt":0.20951924511179448,"score_spread":0.18041365712937213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2188166338","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32779473,0.000015740688,0.0005752898,0.0002846854,0.00025468218,0.00004903372,0.00001287,0.000066996385,0.67094594],"genre_scores_gemma":[0.96559954,0.0015291973,0.0027437243,0.00021432951,0.00040369193,0.000004905189,0.000029474928,0.000041828516,0.029433306],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989398,0.000004326837,0.00046042245,0.00029132687,0.00001136918,0.00029272467],"domain_scores_gemma":[0.99951893,0.000018842124,0.00014281414,0.0002559953,0.000008674573,0.000054742122],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002246634,0.000117433876,0.00024422607,0.00012273203,0.000062123785,0.00010546208,0.00014209971,0.000072207884,0.0012520879],"category_scores_gemma":[0.000012012374,0.00013796901,0.00008734915,0.00009941092,0.000029611254,0.0001854385,0.00003748879,0.000070909824,0.004259193],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019692898,0.000105586325,0.6219619,0.000012850618,0.000020811787,0.000010341979,0.000097072836,0.00036815857,0.000010917613,0.32069758,0.030203864,0.02649123],"study_design_scores_gemma":[0.00071665394,0.000041902724,0.10534307,0.000003114283,0.000004295088,0.000007591026,0.000065317,0.005201193,0.00006935511,0.08235326,0.8056487,0.0005455442],"about_ca_topic_score_codex":0.011094894,"about_ca_topic_score_gemma":0.0015746427,"teacher_disagreement_score":0.77544487,"about_ca_system_score_codex":0.00007543064,"about_ca_system_score_gemma":0.000011759659,"threshold_uncertainty_score":0.9996609},"labels":[],"label_agreement":null},{"id":"W2188191595","doi":"","title":"Valuation of Small Industrial Properties Using MRA","year":2003,"lang":"en","type":"article","venue":"Assessment","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Recreation; Corporation; Frontier; Valuation (finance); Jurisdiction; Test (biology); Business; Accounting; Geography; Finance; Archaeology; Political science; Law","score_opus":0.2752519342945278,"score_gpt":0.2743632626440352,"score_spread":0.0008886716504926118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2188191595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8919817,0.000072968345,0.007444802,0.000052318745,0.0005803825,0.000159373,0.0000065532777,0.000012180525,0.0996897],"genre_scores_gemma":[0.99453026,0.000041510844,0.0051617827,0.000029700805,0.000060942217,0.000007300683,0.0000033281297,0.000014236659,0.0001509282],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991532,0.000026985708,0.00046210163,0.0001811389,0.000021824027,0.00015476922],"domain_scores_gemma":[0.99946404,0.000018098255,0.00028321665,0.00017922276,0.000023073497,0.000032381475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008731029,0.0000843032,0.00023767642,0.00010399658,0.00005507543,0.0000385268,0.000078768455,0.00007606004,0.00019337756],"category_scores_gemma":[0.000073995194,0.0000959603,0.00005908088,0.00009311701,0.000027751843,0.0001173732,0.000020009582,0.00008127591,0.000028342123],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028835431,0.00033509397,0.4953244,0.0000622536,0.00014714955,0.0000013672028,0.00059057865,0.006325747,0.0011008434,0.48778605,0.00017282045,0.0081248535],"study_design_scores_gemma":[0.012603853,0.0010981137,0.0915393,0.0003658095,0.00020053248,0.000028578199,0.0021871608,0.37977985,0.02471827,0.3094268,0.17463166,0.0034200638],"about_ca_topic_score_codex":0.0001653413,"about_ca_topic_score_gemma":0.000011688297,"teacher_disagreement_score":0.4037851,"about_ca_system_score_codex":0.0001622753,"about_ca_system_score_gemma":0.0000934934,"threshold_uncertainty_score":0.39131472},"labels":[],"label_agreement":null},{"id":"W2192796286","doi":"","title":"Closing the GAP: How Banks Can Help Older Adults Use the Equity in Their Homes to Provide Another Source of Retirement Funding","year":2015,"lang":"en","type":"article","venue":"ABA banking journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Home equity; Health and Retirement Study; Equity (law); Business; Quarter (Canadian coin); Asset (computer security); Retirement planning; Finance; Medicine; Gerontology","score_opus":0.1044429472751595,"score_gpt":0.2635790860099296,"score_spread":0.15913613873477006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2192796286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9858571,0.0005247974,0.0017811928,0.006145743,0.0006674254,0.0002971104,0.000013446957,0.000014662298,0.004698465],"genre_scores_gemma":[0.9981679,0.00016123308,0.00030287707,0.00070123165,0.000326888,0.000008320042,0.0000013216451,0.00004172762,0.00028850936],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984262,0.0000788027,0.0006396264,0.00026798956,0.0000868485,0.00050053897],"domain_scores_gemma":[0.9986653,0.00017770176,0.00061699055,0.00037734729,0.00006145749,0.000101254926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030307926,0.0001916293,0.0003674851,0.0002349166,0.0002612768,0.0005883961,0.0005329099,0.00008073948,0.00006706412],"category_scores_gemma":[0.00034403845,0.00013592788,0.00013677243,0.00025056937,0.000074553194,0.00033776305,0.00021924751,0.00041191487,0.000012142241],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029879424,0.00017658416,0.76065344,0.000079274556,0.00018695554,0.00001475645,0.054401193,0.0032060521,0.00012612001,0.00554322,0.0066261054,0.16868751],"study_design_scores_gemma":[0.009040883,0.00083998614,0.5732176,0.00318644,0.00008740181,0.0003579896,0.027009513,0.027994376,0.00223352,0.04196656,0.31120017,0.002865591],"about_ca_topic_score_codex":0.0005738638,"about_ca_topic_score_gemma":0.00075032533,"teacher_disagreement_score":0.30457407,"about_ca_system_score_codex":0.00044655122,"about_ca_system_score_gemma":0.00007147488,"threshold_uncertainty_score":0.5673917},"labels":[],"label_agreement":null},{"id":"W2197081692","doi":"","title":"Access to Primary Schools and House Values: Testing the Spatial Homogeneity of Hedonic Prices","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Neighbourhood (mathematics); Property value; Homogeneity (statistics); Residential property; Econometrics; Spatial analysis; Statistics; Economic geography; Mathematics; Business","score_opus":0.0927517267309912,"score_gpt":0.3197987380087216,"score_spread":0.22704701127773042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2197081692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8852913,0.000603529,0.00011327725,0.00044362273,0.0006063439,0.0012635894,0.00015625248,0.000058140457,0.11146399],"genre_scores_gemma":[0.98434925,0.011727947,0.0026376229,0.00028486544,0.000480817,0.00016127298,0.000021398708,0.0001622451,0.0001745761],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9955064,0.000115237555,0.0017943422,0.0014087936,0.000108356035,0.0010668841],"domain_scores_gemma":[0.99594575,0.0012103196,0.00089312746,0.0015233218,0.00012999558,0.00029745724],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007659899,0.00044865592,0.0012127182,0.0011512322,0.00029386784,0.00062158686,0.0017863455,0.00053683174,0.000049999184],"category_scores_gemma":[0.0018084524,0.00048710481,0.00020784793,0.0003734918,0.00040167343,0.00031457606,0.0035116896,0.0018092592,0.000036137073],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025541743,0.0002642604,0.64166313,0.0007776887,0.00023348596,0.000016894592,0.00090996514,0.015830968,0.000048649366,0.0011997493,0.00014180187,0.33865798],"study_design_scores_gemma":[0.0016017747,0.00035629448,0.9166156,0.00072663004,0.00003172089,0.000023555911,0.0005475665,0.022998998,0.00029440786,0.036598343,0.01827106,0.00193403],"about_ca_topic_score_codex":0.0019359433,"about_ca_topic_score_gemma":0.0010068145,"teacher_disagreement_score":0.33672392,"about_ca_system_score_codex":0.001143413,"about_ca_system_score_gemma":0.0005041264,"threshold_uncertainty_score":0.99975806},"labels":[],"label_agreement":null},{"id":"W2198735736","doi":"10.1177/0042098015610482","title":"A new perspective on the ripple effect in the UK housing market: Comovement, cyclical subsamples and alternative indices","year":2015,"lang":"en","type":"article","venue":"Urban Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Ripple; Econometrics; Index (typography); House price; Convergence (economics); Price index; Perspective (graphical); Contrast (vision); Macroeconomics; Mathematics; Power (physics)","score_opus":0.08508648470206015,"score_gpt":0.28129743121027523,"score_spread":0.19621094650821508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2198735736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88956666,0.0063314796,0.00005732426,0.0039121155,0.00029657895,0.0003693581,0.000025029878,0.000017393737,0.099424034],"genre_scores_gemma":[0.99782467,0.00081984437,0.00006695343,0.0007970601,0.00023053294,0.000030764244,0.0000011368337,0.000014681914,0.00021432906],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99905384,0.00008615504,0.00026806272,0.00031041805,0.000043578308,0.00023797122],"domain_scores_gemma":[0.99861336,0.0009332725,0.00017893684,0.00020906789,0.000019642623,0.00004569306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015303029,0.00016985722,0.00036085278,0.0001180646,0.00017875938,0.00012455019,0.00021457464,0.000038774273,0.000034472425],"category_scores_gemma":[0.0005285102,0.000111788555,0.00005587465,0.00014512548,0.00014982934,0.000088491324,0.00011452694,0.00017751828,0.00003687289],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017810702,0.000055366003,0.7361791,0.000014082472,0.00030396183,0.000008292711,0.04605613,0.000024729845,5.250964e-7,0.15158999,0.06390818,0.0016815324],"study_design_scores_gemma":[0.0049419203,0.001254661,0.30237797,0.0001734614,0.000076030454,0.000007713693,0.0762369,0.0018128548,0.00006962427,0.5373175,0.07460322,0.0011281598],"about_ca_topic_score_codex":0.0015300448,"about_ca_topic_score_gemma":0.001333533,"teacher_disagreement_score":0.43380114,"about_ca_system_score_codex":0.00023100087,"about_ca_system_score_gemma":0.00001375874,"threshold_uncertainty_score":0.4558605},"labels":[],"label_agreement":null},{"id":"W2201272117","doi":"","title":"Modeling the Canadian real estate market","year":2014,"lang":"en","type":"article","venue":"Saint Mary's University Institutional Repository (Saint Mary's University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Universidad Panamericana; Université de Moncton; Western Kentucky University","keywords":"Real estate; Business; Economics; Finance","score_opus":0.013316642876578504,"score_gpt":0.1595412036890043,"score_spread":0.1462245608124258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2201272117","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22469054,0.000014376862,0.0043801987,0.0011569113,0.0009447474,0.00024656457,0.000097936434,0.00011784128,0.7683509],"genre_scores_gemma":[0.9798242,0.0006796748,0.00070942735,0.00020701945,0.00025555433,4.6632917e-7,0.0000743855,0.000029880946,0.018219398],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99773645,0.0001768913,0.00042937553,0.000797852,0.00013194841,0.0007274566],"domain_scores_gemma":[0.9982382,0.00013411793,0.00026812282,0.0006919208,0.00014855494,0.00051906926],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00094234914,0.00036726432,0.000469171,0.0010686433,0.0030277777,0.00018967675,0.0010252928,0.0002968871,0.00026638026],"category_scores_gemma":[0.000088374785,0.00045277164,0.000330065,0.0006191529,0.00055111345,0.0007942056,0.0003372772,0.00052740314,0.0002686556],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035625868,0.00012201604,0.020823006,0.000044843953,0.0002360021,0.00072313874,0.00042919756,0.04862543,0.000009836367,0.92288905,0.0020246825,0.003716544],"study_design_scores_gemma":[0.0009191883,0.000074353076,0.0057084323,0.000034269546,0.00005350264,0.00006701024,0.00046195183,0.1470996,0.0000046511454,0.0021238886,0.8427904,0.00066275627],"about_ca_topic_score_codex":0.34837133,"about_ca_topic_score_gemma":0.104400754,"teacher_disagreement_score":0.92076516,"about_ca_system_score_codex":0.006884462,"about_ca_system_score_gemma":0.0007547545,"threshold_uncertainty_score":0.9997924},"labels":[],"label_agreement":null},{"id":"W2202212671","doi":"","title":"The GST and mortgage costs: Australian evidence","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Basis point; Robustness (evolution); Yield (engineering); Quarter (Canadian coin); Economics; Value (mathematics); Monetary economics; Business; Interest rate; Statistics; Geography","score_opus":0.08378154526101783,"score_gpt":0.312186599756808,"score_spread":0.22840505449579018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2202212671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6444972,0.0021304078,0.0000039440915,0.0034569306,0.0014252585,0.0013346169,0.00012898537,0.00006337484,0.34695926],"genre_scores_gemma":[0.8536607,0.13608475,0.00035107782,0.00012634616,0.00040302216,0.00041261892,0.000026061734,0.000120786324,0.008814646],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99542975,0.00016613847,0.0015267219,0.0014848243,0.00007779269,0.0013147801],"domain_scores_gemma":[0.99588895,0.0013727181,0.00060488476,0.0017156252,0.00007692682,0.0003408679],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0056307768,0.00047539905,0.0009211706,0.00053976243,0.000565945,0.0015737129,0.0013441175,0.00064998557,0.0002822968],"category_scores_gemma":[0.0013202066,0.00050171727,0.0002209779,0.00015000174,0.0008154045,0.0003908445,0.0017779688,0.0023179306,0.00031243576],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024018179,0.0002515226,0.19768238,0.00062962243,0.00046214816,0.00005892044,0.0013180142,0.0025809973,0.000021416285,0.09199422,0.004677934,0.70008266],"study_design_scores_gemma":[0.0014516143,0.0002521461,0.07579485,0.0010979918,0.000021833119,0.000038747974,0.0019811739,0.047946136,0.00003997991,0.13736334,0.73128825,0.0027239348],"about_ca_topic_score_codex":0.001279527,"about_ca_topic_score_gemma":0.0009639097,"teacher_disagreement_score":0.7266103,"about_ca_system_score_codex":0.0017972785,"about_ca_system_score_gemma":0.00023371556,"threshold_uncertainty_score":0.9999838},"labels":[],"label_agreement":null},{"id":"W2203042035","doi":"10.1177/0042098016665955","title":"Market heterogeneity and the determinants of Paris apartment prices: A quantile regression approach","year":2016,"lang":"en","type":"article","venue":"Urban Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Apartment; Econometrics; Quantile regression; Decile; Economics; Market segmentation; Stock (firearms); Microeconomics; Statistics; Geography; Mathematics; Engineering","score_opus":0.05505494312301169,"score_gpt":0.2572248066513815,"score_spread":0.2021698635283698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2203042035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9556557,0.015550934,0.00020045809,0.00026060548,0.00025580413,0.00027158638,0.000048173228,0.000019626805,0.027737118],"genre_scores_gemma":[0.98763794,0.0111261355,0.00042942894,0.00004132088,0.000052614214,0.000042325417,5.18303e-7,0.000012730551,0.00065698],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989767,0.000028150438,0.00048250714,0.00029111147,0.000024160938,0.00019734816],"domain_scores_gemma":[0.99902767,0.00022726847,0.00039944443,0.0002920618,0.000020987072,0.000032554504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088492734,0.00013836264,0.0005548309,0.00006195671,0.00013516865,0.00002047721,0.00012810649,0.000046904504,0.00002085922],"category_scores_gemma":[0.00013593942,0.000076164884,0.00008901414,0.000057192192,0.00035003395,0.00010302584,0.00017206575,0.00003670692,0.000017209912],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002447316,0.00008605225,0.9677808,0.00013802404,0.00023275573,9.666535e-7,0.0015955202,7.5385424e-7,0.000005382948,0.009471721,0.012217339,0.008225906],"study_design_scores_gemma":[0.021136528,0.0006886777,0.5794969,0.00095844484,0.00028928745,0.00004328265,0.003980106,0.011484511,0.0024247523,0.0743223,0.30260715,0.0025680363],"about_ca_topic_score_codex":0.000023479082,"about_ca_topic_score_gemma":0.00002703094,"teacher_disagreement_score":0.38828394,"about_ca_system_score_codex":0.000040461888,"about_ca_system_score_gemma":0.0000055053106,"threshold_uncertainty_score":0.3105914},"labels":[],"label_agreement":null},{"id":"W2203903253","doi":"10.1017/cbo9780511607004.007","title":"Deflation, Credit, and Asset Prices","year":2004,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Deflation; Economics; Monetary economics; Asset (computer security); Financial economics; Business; Monetary policy; Computer science","score_opus":0.027176009447636068,"score_gpt":0.1739981289937902,"score_spread":0.14682211954615412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2203903253","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001009068,0.00037384743,0.0005292674,0.000033398363,0.0003689224,0.00021837367,0.0004709706,0.000082189654,0.99691397],"genre_scores_gemma":[0.012371473,0.0010848702,0.00034565272,0.000055626122,0.00022629026,5.4935026e-7,0.0000858159,0.000060963648,0.98576874],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988414,0.0000044765134,0.00032361556,0.0005606033,0.00003077874,0.0002390917],"domain_scores_gemma":[0.9989445,0.0000403995,0.0004641727,0.0003700489,0.000040212428,0.00014065002],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017178588,0.00029022552,0.0005012674,0.0002683882,0.0001843548,0.000106184205,0.000266577,0.00038002848,0.000032293134],"category_scores_gemma":[0.000012737461,0.0004305462,0.00013722904,0.0000070627125,0.0001646553,0.00017983596,0.00021076726,0.00028235128,0.00008322229],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023179127,0.000005373856,0.00010223302,0.000064473184,0.000085849475,0.00003734663,0.000052158844,0.00000819678,4.7248392e-7,0.99250907,0.0065675112,0.000544141],"study_design_scores_gemma":[0.0005407973,0.00002978726,0.0002879731,0.000057616962,0.0000440388,0.000009833993,0.000011103101,0.0001285892,0.000006085233,0.0023449438,0.9960369,0.00050233514],"about_ca_topic_score_codex":0.00023096497,"about_ca_topic_score_gemma":0.0000060371917,"teacher_disagreement_score":0.9901641,"about_ca_system_score_codex":0.00030083954,"about_ca_system_score_gemma":0.000058027752,"threshold_uncertainty_score":0.9998146},"labels":[],"label_agreement":null},{"id":"W2203957490","doi":"","title":"THETA MODEL FORECASTS REAL ESTATE VALUES","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Index (typography); sort; Econometrics; Term (time); Series (stratigraphy); Computer science; Operations research; Economics; Actuarial science; Finance; Mathematics; Database","score_opus":0.06333368244748304,"score_gpt":0.29422211088111266,"score_spread":0.2308884284336296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2203957490","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37225834,0.00007404604,0.000042784224,0.00020143662,0.00065018196,0.00056983845,0.00037849136,0.00008103463,0.62574387],"genre_scores_gemma":[0.893919,0.0862797,0.0039061757,0.00007895235,0.000711508,0.00036663227,0.00042659257,0.0003661833,0.01394528],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99387646,0.00012391558,0.0021069546,0.0020695236,0.000104230734,0.0017189456],"domain_scores_gemma":[0.9964622,0.0003420722,0.0008148343,0.0019846342,0.000088375615,0.00030785135],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0043528927,0.0006920414,0.0015552097,0.0013895414,0.0002943622,0.0005441993,0.0014445628,0.0009815322,0.00015427823],"category_scores_gemma":[0.00025394355,0.00091793353,0.000535189,0.00019198161,0.0004613149,0.0003216995,0.001704033,0.0021984947,0.00020405604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022208586,0.0005030119,0.041430697,0.000390443,0.00024372997,0.000056491877,0.0014182756,0.39143193,0.0000060107045,0.012681094,0.0012651315,0.5503511],"study_design_scores_gemma":[0.0008963255,0.00007069017,0.0053764046,0.000112385904,0.000009697934,0.0000072278585,0.0001291565,0.7786697,0.000014607267,0.1932338,0.020254461,0.0012255337],"about_ca_topic_score_codex":0.0021179384,"about_ca_topic_score_gemma":0.0017724908,"teacher_disagreement_score":0.6117986,"about_ca_system_score_codex":0.0021374167,"about_ca_system_score_gemma":0.00048400287,"threshold_uncertainty_score":0.9993271},"labels":[],"label_agreement":null},{"id":"W2204290137","doi":"","title":"Links between Residential Choice Criteria and Property Values. Some Evidence Using Correspondance Analysis and Hedonic Modelling","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Property (philosophy); Residential property; Econometrics; Real estate; Value (mathematics); Residential real estate; Economics; Hedonic pricing; Property value; Microeconomics; Statistics; Mathematics; Economic geography","score_opus":0.1176469882785868,"score_gpt":0.3353434879756583,"score_spread":0.21769649969707153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2204290137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98953706,0.0032538825,0.0011363366,0.00036590104,0.0005635387,0.0008438652,0.00020462017,0.000053534266,0.0040412564],"genre_scores_gemma":[0.9360021,0.059068583,0.0032606919,0.00006804704,0.0006866805,0.000069783055,0.000049433333,0.00012794028,0.00066675793],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99412364,0.00022832352,0.0019010926,0.002412305,0.00011779982,0.0012168273],"domain_scores_gemma":[0.9965031,0.0008450234,0.00079620956,0.0013646401,0.00010064563,0.0003903854],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0052846177,0.0006299449,0.0019381606,0.002225736,0.00045146266,0.001055457,0.0008511361,0.0011808937,0.00008194839],"category_scores_gemma":[0.00081214815,0.0007145122,0.00034148162,0.0004532705,0.0006420225,0.00088456005,0.0018888067,0.0026330212,0.000014907596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000365297,0.00021446176,0.41199213,0.0012056814,0.0018632094,0.0000530178,0.0019985966,0.54365915,0.000052271163,0.0012803973,0.000017919556,0.037297864],"study_design_scores_gemma":[0.0010463169,0.00011529707,0.04671553,0.0008912615,0.00023519692,0.000010109612,0.0001166744,0.9081356,0.000045027486,0.039458204,0.0017397644,0.0014909987],"about_ca_topic_score_codex":0.004889988,"about_ca_topic_score_gemma":0.0007184393,"teacher_disagreement_score":0.3652766,"about_ca_system_score_codex":0.0018587623,"about_ca_system_score_gemma":0.0005554723,"threshold_uncertainty_score":0.9999815},"labels":[],"label_agreement":null},{"id":"W2204958478","doi":"","title":"What Explains Trends in Household Debt in Canada","year":2011,"lang":"en","type":"article","venue":"Bank of Canada review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Microdata (statistics); Household debt; Collateral; Debt; Economics; Financial system; Monetary economics; Demographic economics; Finance; Population; Census","score_opus":0.05899774550109568,"score_gpt":0.19659375215121905,"score_spread":0.13759600665012336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2204958478","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36077467,0.20371722,0.000008219021,0.0021616363,0.0023113175,0.00043489877,0.000182985,0.000013439173,0.43039563],"genre_scores_gemma":[0.8782902,0.120038755,0.000060921764,0.0013115013,0.000015907308,0.000017873197,0.000009156989,0.000021871869,0.00023384558],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984647,0.00001795562,0.00090509345,0.00024830652,0.000036662965,0.00032727263],"domain_scores_gemma":[0.9992578,0.000027149548,0.00029038926,0.00032696364,0.000008736238,0.00008898703],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00046860444,0.0001379408,0.0006820568,0.0001681654,0.000016768665,0.000010620374,0.00025065942,0.000036163674,0.00091903034],"category_scores_gemma":[0.000042322077,0.0001672289,0.000054237677,0.00034387255,0.000013779088,0.00023117519,0.000030218484,0.00010949138,0.000003148163],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042311967,0.00015555635,0.5212163,0.0028101283,0.00007429237,0.00025577986,0.00051756087,0.00016865335,7.545047e-7,0.026149897,0.12148682,0.32712194],"study_design_scores_gemma":[0.0008274805,0.000029959125,0.27283627,0.002577371,0.0000126790055,0.000009615394,0.00020347713,0.0003709978,0.00002685864,0.001378515,0.7209038,0.0008229938],"about_ca_topic_score_codex":0.99823153,"about_ca_topic_score_gemma":0.99994755,"teacher_disagreement_score":0.599417,"about_ca_system_score_codex":0.0011173504,"about_ca_system_score_gemma":0.001039239,"threshold_uncertainty_score":0.9999943},"labels":[],"label_agreement":null},{"id":"W2205277518","doi":"","title":"The Effects of Price Uncertainty on Home Purchase DecisionsOver the Life-Cycle","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Hedge; Consumption (sociology); Economics; Transaction cost; Microeconomics; Database transaction; Business","score_opus":0.007408544056968473,"score_gpt":0.20448094710657605,"score_spread":0.19707240304960758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2205277518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.960011,0.010824626,0.0021861675,0.005151934,0.000888869,0.0002618926,0.000007114079,0.000019581172,0.020648818],"genre_scores_gemma":[0.9783744,0.019782277,0.000032135937,0.0003721522,0.0004409122,0.0000072854345,7.4171163e-7,0.000025421909,0.00096463534],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978269,0.00004631342,0.00057575485,0.00020179986,0.00006060584,0.0012886261],"domain_scores_gemma":[0.9982879,0.0007323762,0.00047377704,0.00038691648,0.000029711802,0.00008932904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031344388,0.00014858959,0.00026480894,0.00010327814,0.00051552075,0.00010989426,0.000564293,0.00007434668,0.000053116502],"category_scores_gemma":[0.00072032266,0.00009920145,0.0001999131,0.00016476029,0.0000905613,0.00015097352,0.00005427926,0.0010394473,0.00025833142],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023296253,0.00014994027,0.0015546093,0.000008219264,0.00026148348,0.0000010836603,0.00029915824,0.0037597967,0.000011135136,0.8691565,0.0010052662,0.12355986],"study_design_scores_gemma":[0.0017522152,0.00054836256,0.0034531034,0.000028821552,0.000025542122,0.000056095163,0.0003740056,0.0056354655,0.00004340337,0.83562094,0.15213157,0.00033047967],"about_ca_topic_score_codex":0.000043405373,"about_ca_topic_score_gemma":0.00024631506,"teacher_disagreement_score":0.15112631,"about_ca_system_score_codex":0.0006192896,"about_ca_system_score_gemma":0.0003767724,"threshold_uncertainty_score":0.45159388},"labels":[],"label_agreement":null},{"id":"W2205513416","doi":"10.2139/ssrn.1788223","title":"Blockbusting: Brokers and the Dynamics of Segregation","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Dynamics (music); Business; Economic geography; Sociology; Economics","score_opus":0.015095069272665625,"score_gpt":0.17681146165904416,"score_spread":0.16171639238637853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2205513416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8992408,0.0019092711,0.013044387,0.00084162835,0.00029544093,0.00011735728,0.0000055706323,0.000014135242,0.08453139],"genre_scores_gemma":[0.9944247,0.0046533197,0.0002344899,0.00004499124,0.000049287315,0.0000014457484,0.0000012952902,0.000013879026,0.00057656155],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988186,0.00001860178,0.00040742772,0.00011872045,0.00001779756,0.0006188779],"domain_scores_gemma":[0.9993549,0.000040378047,0.0004225278,0.0001212561,0.000029457027,0.000031462067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023747114,0.00008155211,0.00021641208,0.000098020835,0.00012454363,0.000033384567,0.0001596657,0.00005408922,0.000041335312],"category_scores_gemma":[0.00010995903,0.000070491995,0.00007849633,0.00008165609,0.00012802468,0.00013263397,0.000027793922,0.00049765495,0.000014207115],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007215801,0.000014098815,0.01990332,0.0000039774704,0.00006746902,1.7875547e-7,0.0004804244,0.000014380617,5.1260224e-7,0.97109777,0.000011051309,0.008334655],"study_design_scores_gemma":[0.0010520479,0.00006659939,0.0016422274,0.00000571344,0.000014197105,0.000082864135,0.0010761697,0.0106463265,0.000007708017,0.9850714,0.00023035832,0.00010433966],"about_ca_topic_score_codex":0.00029989667,"about_ca_topic_score_gemma":0.00052021886,"teacher_disagreement_score":0.09518391,"about_ca_system_score_codex":0.0002605547,"about_ca_system_score_gemma":0.00012554968,"threshold_uncertainty_score":0.287458},"labels":[],"label_agreement":null},{"id":"W2206139301","doi":"10.1080/10835547.2009.12089829","title":"Identifying Turning Points of Real Estate Cycles in Taiwan","year":2009,"lang":"en","type":"article","venue":"Journal of Real Estate Portfolio Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Bivariate analysis; Econometrics; Autoregressive model; Composite index; Real estate; Unobservable; Quarter (Canadian coin); Economics; Markov chain; Statistics; Mathematics; Computer science; Composite indicator; Geography; Finance","score_opus":0.02481704104003744,"score_gpt":0.2534090571447253,"score_spread":0.22859201610468785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2206139301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6648509,0.000031547643,0.0003454491,0.00023329972,0.00030931478,0.00010298117,0.0000068398303,0.000010610479,0.33410907],"genre_scores_gemma":[0.9419385,0.05354567,0.0040931595,0.00004932823,0.00008244111,0.000001455481,0.000005682927,0.000026617936,0.0002571349],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9973439,0.000027013548,0.0018654454,0.00026084873,0.000095656316,0.0004071522],"domain_scores_gemma":[0.9976373,0.000022571712,0.0019079932,0.00025550488,0.000047112175,0.0001295692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019354824,0.00020070458,0.0006927147,0.0010839137,0.000052333824,0.000098846656,0.0003365343,0.00006598696,0.00008133556],"category_scores_gemma":[0.00002934208,0.00022869646,0.00021367244,0.0003184565,0.0000407592,0.0005548123,0.00007607318,0.00023852661,0.000026455176],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042644228,0.0005158537,0.1558688,0.00025414626,0.00032449534,0.0016611926,0.004891744,0.006020035,0.00006604795,0.016087824,0.0011824564,0.812701],"study_design_scores_gemma":[0.003933659,0.0005816505,0.9158612,0.00044412995,0.00009479831,0.00013489871,0.003811006,0.0038483588,0.00013883252,0.051800787,0.01849915,0.0008515358],"about_ca_topic_score_codex":0.00051502394,"about_ca_topic_score_gemma":0.000106032196,"teacher_disagreement_score":0.8118494,"about_ca_system_score_codex":0.00024717228,"about_ca_system_score_gemma":0.00002610789,"threshold_uncertainty_score":0.9325971},"labels":[],"label_agreement":null},{"id":"W2206915332","doi":"","title":"Do landlords discriminate against families with children","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Landlord; Spelling; Demographic economics; Prejudice (legal term); Psychology; Socioeconomic status; Social psychology; Economics; Demography; Sociology; Political science; Law; Linguistics; Population","score_opus":0.038561069366404986,"score_gpt":0.27032754497612405,"score_spread":0.23176647560971905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2206915332","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5731685,0.00050110626,0.000009583063,0.00015968479,0.000573524,0.0006009987,0.00030029632,0.000060132643,0.42462617],"genre_scores_gemma":[0.96071804,0.03567741,0.0008392563,0.00010305196,0.0006500845,0.00024979457,0.0003196313,0.00021392251,0.0012288381],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9950639,0.000113882015,0.0013843698,0.0016432496,0.00009930862,0.0016952773],"domain_scores_gemma":[0.9968666,0.00023832051,0.000640689,0.0018020206,0.00006491665,0.00038746928],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0031671778,0.00067568733,0.00141524,0.001261305,0.00027254754,0.0005323908,0.0012325494,0.00074657466,0.00025312704],"category_scores_gemma":[0.00020263124,0.0007535479,0.0003062584,0.00021672713,0.00050324615,0.00037218412,0.0014147366,0.002217547,0.00026624493],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000259243,0.0004482915,0.76306415,0.00028627564,0.00043504217,0.000024511279,0.0018354721,0.0071473555,0.0000032550347,0.009486281,0.00018448946,0.2168256],"study_design_scores_gemma":[0.008063413,0.00060155813,0.7281676,0.001467636,0.00010200403,0.00009050516,0.004053373,0.019013451,0.000117437805,0.05348115,0.17597754,0.008864327],"about_ca_topic_score_codex":0.00045114453,"about_ca_topic_score_gemma":0.0006139429,"teacher_disagreement_score":0.42339733,"about_ca_system_score_codex":0.0012960989,"about_ca_system_score_gemma":0.00027353928,"threshold_uncertainty_score":0.9994916},"labels":[],"label_agreement":null},{"id":"W2207234196","doi":"","title":"Advanced Forecasting Information System - PYTHIA: Application in Real Estate","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Computer science; Chart; SQL; Information system; Database; Industrial engineering; Operations research; Engineering; Finance","score_opus":0.045699536580633096,"score_gpt":0.28229615666631686,"score_spread":0.23659662008568377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2207234196","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4502656,0.000031048607,0.00024099786,0.0000666858,0.000594094,0.0009946304,0.000111432826,0.00007854071,0.54761696],"genre_scores_gemma":[0.9816926,0.014715926,0.00228055,0.000036494293,0.00022113285,0.00045681192,0.00030678048,0.00009713024,0.00019257648],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9950718,0.00007973587,0.0025335157,0.0010424042,0.00008698772,0.0011855289],"domain_scores_gemma":[0.9971465,0.0003373041,0.001113748,0.0011106461,0.00009305032,0.00019873574],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006746788,0.00042598526,0.0010334456,0.0023442465,0.00016865162,0.00031947283,0.00076884276,0.0008080566,0.000023564755],"category_scores_gemma":[0.00040238962,0.00060949946,0.00019285551,0.0003854042,0.00015606417,0.00071614917,0.000779385,0.0018556087,0.00015604871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020377534,0.000073407035,0.053122032,0.00072149246,0.000039646642,0.000016667103,0.0016400764,0.05944234,0.0000018638403,0.0057828855,0.0000131858105,0.8789426],"study_design_scores_gemma":[0.0023903188,0.00010537605,0.021541247,0.0005935323,0.0000064595374,0.000021906639,0.0038889411,0.9130917,0.000024059453,0.0073254867,0.04950175,0.0015091982],"about_ca_topic_score_codex":0.002158879,"about_ca_topic_score_gemma":0.0024175115,"teacher_disagreement_score":0.8774334,"about_ca_system_score_codex":0.0046074335,"about_ca_system_score_gemma":0.00026721528,"threshold_uncertainty_score":0.99963564},"labels":[],"label_agreement":null},{"id":"W2207325640","doi":"","title":"Fixed come hell or high water? Selection and prepayment of fixed rate mortgages outside the US","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Institute of Circulatory and Respiratory Health; Massey University","keywords":"Prepayment of loan; Fixed interest rate loan; Floating interest rate; Interest rate; Fixed cost; Economics; Selection (genetic algorithm); Monetary economics; Business; Finance; Microeconomics; Computer science","score_opus":0.052080285380393006,"score_gpt":0.2719573144433216,"score_spread":0.2198770290629286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2207325640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9352149,0.00017594245,0.000013915812,0.0004432927,0.00082252396,0.0010765656,0.00016798815,0.00004353052,0.062041342],"genre_scores_gemma":[0.97426784,0.021036208,0.000429725,0.000079587015,0.00019682638,0.00023626935,0.00007307452,0.000106786625,0.003573664],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99578726,0.00025285978,0.0016794661,0.0012515011,0.00006342471,0.000965484],"domain_scores_gemma":[0.99746233,0.00043449507,0.0006836636,0.0011552625,0.00008426782,0.00017995865],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005021306,0.00046421628,0.0012550588,0.00069798424,0.00026887667,0.00024108376,0.00082883163,0.00054955017,0.0005157558],"category_scores_gemma":[0.00030901944,0.00039137746,0.00022440423,0.00013102815,0.00048697166,0.00019351176,0.0013706593,0.0013111368,0.00005757976],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0071112267,0.002653378,0.6140716,0.0049947007,0.0041016033,0.00014000155,0.018506462,0.09136756,0.0014784741,0.04769007,0.0011167818,0.20676817],"study_design_scores_gemma":[0.011802533,0.0026294717,0.3254202,0.0013834117,0.00022202714,0.00013350016,0.0026086108,0.17223555,0.022977337,0.25303385,0.20001927,0.0075342273],"about_ca_topic_score_codex":0.0019600673,"about_ca_topic_score_gemma":0.0020351957,"teacher_disagreement_score":0.28865138,"about_ca_system_score_codex":0.0007555115,"about_ca_system_score_gemma":0.00019768326,"threshold_uncertainty_score":0.9998538},"labels":[],"label_agreement":null},{"id":"W2208689408","doi":"10.26509/frbc-wp-201507","title":"The Rise and Fall of Consumption in the '00s","year":2015,"lang":"en","type":"paratext","venue":"Working paper","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Consumption (sociology); Economics; Explanatory power; Unemployment; Recession; Boom; Great recession; Debt; Monetary economics; Bankruptcy; Inequality; Macroeconomics; Demographic economics; Labour economics; Finance","score_opus":0.05569906706465465,"score_gpt":0.24007955088608493,"score_spread":0.1843804838214303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2208689408","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06373054,0.043705918,0.000020057292,0.0007054013,0.0025333946,0.00031158724,0.0000490437,0.000008294542,0.88893574],"genre_scores_gemma":[0.93059385,0.041322608,0.00008174855,0.00029131628,0.0005117435,0.000045821416,0.00002903359,0.000058456193,0.027065426],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988567,0.000047783098,0.0005616305,0.00026917882,0.00002986907,0.00023480269],"domain_scores_gemma":[0.99888515,0.0002502283,0.0004337529,0.00038980963,0.000011248858,0.000029800769],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017337024,0.00016480648,0.0003883251,0.000105827065,0.00011510376,0.000143397,0.00032733945,0.00021831556,0.00021091149],"category_scores_gemma":[0.00006164669,0.00012496577,0.00007122393,0.00009287453,0.00015483832,0.000056720262,0.000073516974,0.00032949954,0.0013596391],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002120426,0.0001559926,0.19781448,0.00030847144,0.00023524351,0.0000067862165,0.007911546,0.00043747856,0.0000038725525,0.054894846,0.6608436,0.07717565],"study_design_scores_gemma":[0.00024387674,0.00001301811,0.004780486,0.000064575266,0.0000059872514,0.000002322926,0.00006992667,0.00016389841,3.0505265e-7,0.0029846635,0.9915104,0.0001605239],"about_ca_topic_score_codex":0.00023862721,"about_ca_topic_score_gemma":0.00055077387,"teacher_disagreement_score":0.8668633,"about_ca_system_score_codex":0.00007284457,"about_ca_system_score_gemma":0.000024204708,"threshold_uncertainty_score":0.9994179},"labels":[],"label_agreement":null},{"id":"W2210940589","doi":"","title":"Cross Market Dynamics of REIT Markets","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate investment trust; Diversification (marketing strategy); Portfolio; Business; Financial economics; Emerging markets; Asset allocation; Economics; Finance; Real estate","score_opus":0.037545305751320375,"score_gpt":0.3042590778192537,"score_spread":0.26671377206793334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2210940589","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.329398,0.0003325545,0.000050699284,0.0001782917,0.0013379932,0.00063995796,0.00065001455,0.00004861426,0.6673639],"genre_scores_gemma":[0.95449674,0.026996588,0.0021990077,0.00009885861,0.00048331378,0.00013348104,0.00029263116,0.00029179564,0.015007565],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9928259,0.00016718412,0.0031936653,0.0019425907,0.0001407158,0.0017299079],"domain_scores_gemma":[0.99478525,0.0009280188,0.001418005,0.0023467436,0.00015582635,0.0003661461],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0115342075,0.0006726117,0.0019128382,0.0021715628,0.00019910972,0.00034629143,0.0018272755,0.001472528,0.0024959412],"category_scores_gemma":[0.001031202,0.0009476475,0.000620994,0.00031902012,0.0008558313,0.0002740423,0.0021735686,0.0026764814,0.00012366365],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015343208,0.0009487257,0.5627223,0.0019119283,0.0006400958,0.00013265842,0.0007171879,0.008743991,0.0000059042754,0.04047567,0.0009828028,0.3811844],"study_design_scores_gemma":[0.0044124657,0.00032554145,0.28546217,0.0009128576,0.000032075095,0.00005074577,0.00075420813,0.3311656,0.00012358655,0.1694786,0.20303565,0.0042464915],"about_ca_topic_score_codex":0.00043155657,"about_ca_topic_score_gemma":0.0009717736,"teacher_disagreement_score":0.6523563,"about_ca_system_score_codex":0.002969678,"about_ca_system_score_gemma":0.00042683538,"threshold_uncertainty_score":0.99982375},"labels":[],"label_agreement":null},{"id":"W2211919916","doi":"10.53383/100212","title":"International Real Estate Review","year":2015,"lang":"en","type":"article","venue":"International Real Estate Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Business; Investment (military); Goodwill; Capitalization rate; Quality (philosophy); Real estate investment trust; Finance; Spot contract; Quarter (Canadian coin); Economics; Geography","score_opus":0.0761742787315664,"score_gpt":0.3045568504148311,"score_spread":0.2283825716832647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2211919916","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010321594,0.0015739817,0.00012584745,0.006222982,0.0023650718,0.00036953774,0.00021291635,0.00008381895,0.9880137],"genre_scores_gemma":[0.0014691208,0.99547935,0.0008698105,0.00087493827,0.00037119686,0.000064967506,0.00037484037,0.000048126214,0.00044764913],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975584,0.000044006967,0.0013594667,0.00054990465,0.00015394855,0.00033424134],"domain_scores_gemma":[0.9982515,0.00007826225,0.0007616215,0.0004177116,0.00023169018,0.00025921105],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0018382145,0.0002743592,0.0007330052,0.00017382493,0.00004662514,0.00011564298,0.00079789135,0.00007238246,0.0013408511],"category_scores_gemma":[0.0006208971,0.00030011765,0.00027513257,0.00019250374,0.00006552738,0.00055651355,0.00019057495,0.00021610518,0.0031955878],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016988735,0.000060701546,0.0018491334,0.0007913237,0.00009899126,0.000026749613,0.00008008566,0.000015642376,5.7024613e-7,0.00097499834,0.021174593,0.9749102],"study_design_scores_gemma":[0.00036194315,0.00003093252,0.00046339197,0.0018758829,0.000023101502,0.000044986675,0.000011488043,0.0008575394,0.0000012555889,0.00026301338,0.99574834,0.0003181021],"about_ca_topic_score_codex":0.0014566064,"about_ca_topic_score_gemma":0.00009139686,"teacher_disagreement_score":0.99390537,"about_ca_system_score_codex":0.0005354847,"about_ca_system_score_gemma":0.00010693562,"threshold_uncertainty_score":0.9999451},"labels":[],"label_agreement":null},{"id":"W2213381076","doi":"10.1080/10971475.2015.1081806","title":"Property Rights and Investment Among Chinese Firms: The Importance of Sunk Costs","year":2015,"lang":"en","type":"article","venue":"Chinese Economy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Heritage College","funders":"","keywords":"Sunk costs; Property rights; Investment (military); Asset specificity; Asset (computer security); Economics; Business; Intangible asset; Microeconomics; Monetary economics; Transaction cost; Finance","score_opus":0.02024497646699142,"score_gpt":0.21096432957882663,"score_spread":0.19071935311183522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2213381076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7232106,0.0007759835,0.000023257408,0.00038740537,0.00030098626,0.0002842417,0.000018607685,0.00002412374,0.2749748],"genre_scores_gemma":[0.99792933,0.00006806629,0.0001783469,0.00047416473,0.00020871662,0.000049541377,0.000017257898,0.000028659362,0.001045909],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984835,0.000020335203,0.00076097006,0.0004315078,0.000021967971,0.0002817651],"domain_scores_gemma":[0.9986266,0.0000736859,0.00049720105,0.0005619276,0.000039963346,0.0002006616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085070677,0.00025981877,0.0005680242,0.00012116798,0.00011857188,0.00010021562,0.00032540676,0.00009673161,0.00012825646],"category_scores_gemma":[0.00013868918,0.00015760312,0.00010328953,0.00016790858,0.00026025376,0.00050903857,0.00014637619,0.00014995037,0.000119408265],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002161082,0.000052288364,0.98225576,0.000023153038,0.000049257058,0.0000021999947,0.0007892872,0.000052746866,4.930434e-7,0.0145504465,0.0019427655,0.00025998504],"study_design_scores_gemma":[0.0017853646,0.00011518135,0.52376556,0.000028268296,0.000011942022,0.000017706972,0.00010498051,0.01005098,0.000012348392,0.3892406,0.07423461,0.0006324508],"about_ca_topic_score_codex":0.0008366006,"about_ca_topic_score_gemma":0.0009608311,"teacher_disagreement_score":0.4584902,"about_ca_system_score_codex":0.00016064434,"about_ca_system_score_gemma":0.00004293914,"threshold_uncertainty_score":0.64268684},"labels":[],"label_agreement":null},{"id":"W2214421383","doi":"","title":"Valeur nette du secteur des menages de 1970 a 2012: comparaison entre le Canada et les Etats-Unis","year":2014,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.03417952798994194,"score_gpt":0.2609680481658564,"score_spread":0.22678852017591444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2214421383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7399591,0.0018275593,0.00013508576,0.00461123,0.0016985594,0.00075076957,0.00058966794,0.000057209112,0.2503708],"genre_scores_gemma":[0.9066958,0.077538185,0.0021445719,0.00066770514,0.00082220644,0.00019166678,0.00028474058,0.00027745205,0.011377712],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99159056,0.0009867674,0.0023451124,0.0022126352,0.00015665112,0.0027082849],"domain_scores_gemma":[0.994284,0.0019690194,0.0011039302,0.0017838598,0.0001603387,0.0006988897],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0079717515,0.0009848885,0.0021692659,0.0008788081,0.000989928,0.0007781099,0.0019135831,0.0010904913,0.0008661302],"category_scores_gemma":[0.0010214414,0.0014263311,0.00051523384,0.00028565346,0.0011683461,0.0005217675,0.0015829931,0.0033369185,0.00014801197],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041389288,0.0010494178,0.4782411,0.0014687821,0.000996102,0.00021005991,0.004286662,0.21712877,0.000030269177,0.047330916,0.009144558,0.2396995],"study_design_scores_gemma":[0.0017292923,0.00016040143,0.112266555,0.00043365778,0.000027456008,0.00006239641,0.0011009481,0.13099608,0.00004273018,0.0076628607,0.7438282,0.0016894586],"about_ca_topic_score_codex":0.3788244,"about_ca_topic_score_gemma":0.78501767,"teacher_disagreement_score":0.73468363,"about_ca_system_score_codex":0.0055027,"about_ca_system_score_gemma":0.0027927838,"threshold_uncertainty_score":0.9989624},"labels":[],"label_agreement":null},{"id":"W2214652430","doi":"","title":"European Infrastructure Markets: The Emergence of an Alternative Asset Class","year":2007,"lang":"en","type":"article","venue":"14th Annual European Real Estate Society Conference","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Alternative asset; Diversification (marketing strategy); Asset allocation; Portfolio; Alternative investment; Business; Equity (law); Real estate; Finance; Fixed income; Pension; Asset (computer security); Economics; Bond; Market liquidity","score_opus":0.02070144417458247,"score_gpt":0.2338044344314525,"score_spread":0.21310299025687002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2214652430","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4342712,0.000021471686,0.0033130355,0.00012478657,0.00045504092,0.00014952605,0.00043725406,0.00006218925,0.5611655],"genre_scores_gemma":[0.99281746,0.0043588993,0.001540951,0.00030383086,0.0003118894,0.000001377691,0.00008159005,0.00007785846,0.00050611974],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9974509,0.00021833321,0.0010175876,0.000617829,0.000092617905,0.00060274114],"domain_scores_gemma":[0.997999,0.00012497476,0.00080131716,0.00065708376,0.00018434384,0.00023328618],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003976994,0.00032165495,0.00041483104,0.000070108414,0.00025269785,0.00012954582,0.0010213684,0.00007329643,0.0003430173],"category_scores_gemma":[0.000119093194,0.00029903444,0.00024547178,0.0002689161,0.0004185944,0.00051839795,0.00027706637,0.00046193996,0.00022047487],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056994404,0.0005375565,0.043707184,0.00026145938,0.0006991291,0.00020853078,0.11925761,0.0025153316,0.00046884958,0.08525854,0.03826325,0.7082526],"study_design_scores_gemma":[0.0019075173,0.0005761643,0.65107,0.00008826251,0.00004777678,0.00003715756,0.027129756,0.025304005,0.00022753613,0.0066799545,0.2852246,0.0017073045],"about_ca_topic_score_codex":0.00042012084,"about_ca_topic_score_gemma":0.00009632079,"teacher_disagreement_score":0.7065453,"about_ca_system_score_codex":0.000062685736,"about_ca_system_score_gemma":0.00005584169,"threshold_uncertainty_score":0.9999462},"labels":[],"label_agreement":null},{"id":"W2214696323","doi":"","title":"INCOME CHANGES AND DYNAMICS OF A HOUSING AFFORDABILITY GINI IN CANADA","year":2015,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Earnings; Debt; Economic inequality; Gini coefficient; Inequality; Demographic economics; Income distribution; Household debt; Household income; Income inequality metrics; Labour economics; Geography; Macroeconomics; Finance","score_opus":0.03036377585516335,"score_gpt":0.19227682987468783,"score_spread":0.1619130540195245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2214696323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9525912,0.000107757696,0.00017145932,0.00048752574,0.0001955966,0.00007216128,0.00003631092,0.00000764378,0.046330377],"genre_scores_gemma":[0.99909955,0.00007732782,0.0006802923,0.000057952722,0.000015499834,0.000002587675,0.0000040778873,0.000010217407,0.000052514195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992733,0.0000074616178,0.00034134235,0.00018595745,0.000015696056,0.00017623299],"domain_scores_gemma":[0.9995603,0.000039550105,0.00013654075,0.0001681614,0.0000141306455,0.000081316335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005481952,0.000080706035,0.0003105286,0.000115891875,0.000015049943,0.000015855108,0.0000844643,0.00004076379,0.000041524305],"category_scores_gemma":[0.000078866164,0.000095914584,0.000014702181,0.000116748146,0.000036146037,0.00008923712,0.00006556264,0.0000614241,0.000003635339],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011486967,0.000012326681,0.9796567,0.000025975223,0.0000048124566,0.0000010993136,0.00015101412,0.0001084111,2.487656e-7,0.01519515,0.000029235458,0.004803518],"study_design_scores_gemma":[0.0021081585,0.00013305656,0.58938175,0.000044705863,0.0000058979736,0.000007149936,0.0028928267,0.30274525,0.000057878275,0.09705507,0.004758677,0.0008095689],"about_ca_topic_score_codex":0.8796634,"about_ca_topic_score_gemma":0.9934698,"teacher_disagreement_score":0.39027494,"about_ca_system_score_codex":0.0007310816,"about_ca_system_score_gemma":0.00018303742,"threshold_uncertainty_score":0.39112833},"labels":[],"label_agreement":null},{"id":"W2215020847","doi":"","title":"A Transitions-Based Model of Default for Irish Mortgages","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Irish; Default; Non-performing loan; Equity (law); Loan; Economics; Unemployment; Quarter (Canadian coin); House price; Bridge loan; Stock (firearms); Macro; Actuarial science; Econometrics; Finance; Macroeconomics; Engineering; Computer science; Political science; Geography","score_opus":0.07764831769559176,"score_gpt":0.30914253857834556,"score_spread":0.2314942208827538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2215020847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58188784,0.0003835132,0.017027237,0.0014511899,0.0011438695,0.003044683,0.0034629668,0.00012459072,0.39147407],"genre_scores_gemma":[0.98670745,0.0024951817,0.008743753,0.00014883465,0.00020821135,0.0006246817,0.00025740042,0.00016012657,0.0006543693],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99567854,0.000080448015,0.0018470588,0.0012874576,0.00006493035,0.0010415325],"domain_scores_gemma":[0.9969672,0.0005969219,0.00074578123,0.0013490197,0.00013830264,0.00020279577],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004500899,0.00043015022,0.001453235,0.0012025835,0.00018601624,0.00015079149,0.0009149302,0.0007787907,0.000091341026],"category_scores_gemma":[0.0005732923,0.0005998411,0.0006240755,0.00012504577,0.0003622608,0.00012976806,0.0003312742,0.0010839137,0.000020934385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029606657,0.00037487366,0.004960204,0.001109261,0.00015948548,0.000002058596,0.00038892726,0.9549471,0.000041197367,0.0075573483,0.0005528903,0.029610578],"study_design_scores_gemma":[0.0012778399,0.000103901984,0.0004448281,0.00014988035,0.0000121364965,8.32271e-7,0.00008506971,0.94117504,0.00009997368,0.048475325,0.0075689587,0.000606199],"about_ca_topic_score_codex":0.00011894391,"about_ca_topic_score_gemma":0.00032773847,"teacher_disagreement_score":0.40481958,"about_ca_system_score_codex":0.000764204,"about_ca_system_score_gemma":0.0004852478,"threshold_uncertainty_score":0.9996453},"labels":[],"label_agreement":null},{"id":"W2218553304","doi":"","title":"Human behaviour - an underappreciated factor in real estate transaction analyses","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Database transaction; Valuation (finance); Listing (finance); Transparency (behavior); Value (mathematics); Economics; Business; Residence; Space (punctuation); Empirical research; Heuristic; Quarter (Canadian coin); Actuarial science; Yield (engineering); Marketing; Microeconomics; Accounting; Finance; Computer science; Statistics; Mathematics; Geography; Demographic economics","score_opus":0.16683888606466205,"score_gpt":0.3746744137951962,"score_spread":0.20783552773053418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2218553304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8163795,0.00005645968,0.000012289119,0.000055650784,0.00064372766,0.0006018264,0.0002975712,0.00007097429,0.181882],"genre_scores_gemma":[0.97752976,0.02065629,0.0002779195,0.000020291322,0.0002798138,0.0001717702,0.00035324311,0.00016444814,0.0005464725],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99460244,0.00027358715,0.0019994462,0.0015723937,0.00008569971,0.0014664091],"domain_scores_gemma":[0.9973925,0.00016509683,0.0006733821,0.0013244504,0.00005441394,0.00039016808],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0030817373,0.00057463796,0.0013919004,0.0021205568,0.00023299367,0.00040046818,0.0008847258,0.0010210734,0.0006527312],"category_scores_gemma":[0.00008686211,0.00079411524,0.00033890604,0.00029153857,0.00023031908,0.0006486471,0.00032751058,0.0023572333,0.00006706545],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002283354,0.0016892247,0.7173998,0.0002903731,0.00029385783,0.00004638902,0.004948475,0.03003491,0.00021619227,0.0013193485,0.000021694814,0.24351141],"study_design_scores_gemma":[0.003146429,0.00030671727,0.932977,0.00023359548,0.000035436,0.000010603744,0.0019403811,0.039304826,0.00020465069,0.013656131,0.0051988214,0.0029853985],"about_ca_topic_score_codex":0.008371615,"about_ca_topic_score_gemma":0.016301813,"teacher_disagreement_score":0.24052602,"about_ca_system_score_codex":0.002838816,"about_ca_system_score_gemma":0.00023698663,"threshold_uncertainty_score":0.9999444},"labels":[],"label_agreement":null},{"id":"W2218924147","doi":"10.1080/14036096.2015.1080758","title":"Re-employment, Housing Tenure and Squatter Settlements in Turkey: An Empirical Analysis","year":2015,"lang":"en","type":"article","venue":"Housing Theory and Society","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Unemployment; Turkish; Endogeneity; Demographic economics; Economics; Housing tenure; Labour economics; Human settlement; Economic growth; Geography","score_opus":0.056503396077398474,"score_gpt":0.28611960455685054,"score_spread":0.22961620847945208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2218924147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908465,0.0003120391,0.0031260015,0.00034138304,0.00014003723,0.00010252676,0.000033177195,0.000049102007,0.005049216],"genre_scores_gemma":[0.9967543,0.00021878493,0.0014675299,0.0012956463,0.00010611156,0.000004946234,0.000025452404,0.000032416327,0.00009482454],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998536,0.000111391055,0.00045047823,0.000518989,0.00003759445,0.00034556162],"domain_scores_gemma":[0.9992502,0.00009849357,0.00017514433,0.0002783228,0.000017861821,0.00018002396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030881467,0.00019306809,0.00047462533,0.00016436196,0.00018508575,0.00020874676,0.00009171173,0.00017099576,0.00007790044],"category_scores_gemma":[0.000061452294,0.00021558143,0.00013057873,0.00033654936,0.00014822635,0.00038024527,0.00010675137,0.00019732938,0.000018020028],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007859788,0.00011775726,0.9792391,0.000020990614,0.00025494926,0.0000060649218,0.013346362,0.0007695036,0.0000062502368,0.0035115306,0.0009081077,0.0017407911],"study_design_scores_gemma":[0.008459348,0.0005029653,0.39058396,0.00012437325,0.0007343628,0.000015630569,0.033756807,0.17917413,0.00009317846,0.34638324,0.036758408,0.003413613],"about_ca_topic_score_codex":0.00015654591,"about_ca_topic_score_gemma":0.00015076304,"teacher_disagreement_score":0.5886551,"about_ca_system_score_codex":0.0001498632,"about_ca_system_score_gemma":0.000024929694,"threshold_uncertainty_score":0.8791156},"labels":[],"label_agreement":null},{"id":"W2219417115","doi":"","title":"Some Evidence on the Integration of Canadian and US Residential Mortgage Markets: Fractional Cointegratlon and Multi-Stop Causality","year":2002,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Causality (physics); Economics; Financial economics; Financial system; Business; Monetary economics; Physics","score_opus":0.12207668024561229,"score_gpt":0.3110878663453163,"score_spread":0.18901118609970402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2219417115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95612556,0.001053991,0.000012718369,0.0024563733,0.0006681465,0.00081208954,0.00045530745,0.000016647151,0.038399145],"genre_scores_gemma":[0.92204446,0.07584781,0.0003630253,0.00016957967,0.00021702834,0.00009674937,0.000034058616,0.000053217802,0.0011740713],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968399,0.0002437121,0.0011493852,0.001056553,0.00008349732,0.0006269438],"domain_scores_gemma":[0.9970649,0.0011496502,0.0005457708,0.0008917307,0.00008015185,0.00026780993],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004695726,0.00035394644,0.0007431543,0.0016209686,0.00030775255,0.0003292655,0.0004906093,0.0005189687,0.0003038704],"category_scores_gemma":[0.001965874,0.00037031694,0.00014182681,0.00018468426,0.00056401937,0.0003440151,0.00041729893,0.0017753951,0.00002186948],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018887663,0.00095954275,0.6579592,0.001584855,0.0010009308,0.00015794838,0.006357215,0.0059308633,0.0002509842,0.15216549,0.003722915,0.16802128],"study_design_scores_gemma":[0.0016084041,0.00035203694,0.71412545,0.0014331191,0.000030880026,0.000038533493,0.0015159252,0.20489985,0.0001843658,0.04219204,0.031914975,0.0017044311],"about_ca_topic_score_codex":0.0667894,"about_ca_topic_score_gemma":0.1102928,"teacher_disagreement_score":0.19896898,"about_ca_system_score_codex":0.0011780167,"about_ca_system_score_gemma":0.00030674177,"threshold_uncertainty_score":0.9998749},"labels":[],"label_agreement":null},{"id":"W2219710926","doi":"10.2139/ssrn.2664928","title":"House Age, Price and Rent: Implications from Land-Structure Decomposition","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Decomposition; Economics; Chemistry","score_opus":0.01891670301639049,"score_gpt":0.2273764206940718,"score_spread":0.20845971767768132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2219710926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98026407,0.0028049352,0.0074151857,0.00115815,0.00028710457,0.00008133258,0.00005253992,0.000047743895,0.007888962],"genre_scores_gemma":[0.9944061,0.0043660337,0.00056355813,0.00012251583,0.00032715354,0.0000023812333,0.00002526517,0.000031142805,0.00015587501],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986316,0.000016166245,0.00033770772,0.00022366439,0.000020852425,0.0007700389],"domain_scores_gemma":[0.99939376,0.000025333646,0.00024940807,0.00017133143,0.000024696279,0.00013545627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000619103,0.00011513954,0.00021472496,0.00011895811,0.00015332231,0.00014996348,0.00016162379,0.0000903766,0.00003413059],"category_scores_gemma":[0.000042805994,0.00012836579,0.000050823495,0.0000884502,0.00002839648,0.00025060406,0.000036534693,0.000592887,0.0000808237],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001414823,0.00012003013,0.3758742,0.0000081292455,0.00034770608,0.00000567835,0.0012609313,0.00028126984,0.00015459981,0.59618145,0.001627112,0.023997417],"study_design_scores_gemma":[0.00073593657,0.000072414434,0.023576463,0.000004837735,0.000011618806,0.00013281692,0.00011634857,0.00031776426,0.000009218897,0.963828,0.011004978,0.00018959634],"about_ca_topic_score_codex":0.00027804202,"about_ca_topic_score_gemma":0.0008895669,"teacher_disagreement_score":0.36764655,"about_ca_system_score_codex":0.000607553,"about_ca_system_score_gemma":0.00020039451,"threshold_uncertainty_score":0.5234605},"labels":[],"label_agreement":null},{"id":"W2221183396","doi":"10.1016/j.regsciurbeco.2015.10.004","title":"Household-specific housing capital gains and consumption: Evidence from Canadian microdata","year":2015,"lang":"en","type":"article","venue":"Regional Science and Urban Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada; Wilfrid Laurier University; Western University","funders":"","keywords":"Microdata (statistics); Economics; Consumption (sociology); Proxy (statistics); Marginal propensity to consume; Liberian dollar; Capital (architecture); Durable good; Demographic economics; Labour economics; Microeconomics; Monetary economics; Population","score_opus":0.17183301741671986,"score_gpt":0.24040426696929157,"score_spread":0.06857124955257171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2221183396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890138,0.0050051045,0.00006115168,0.0017622975,0.0005025195,0.00012958603,0.00018675644,0.000028005585,0.003310782],"genre_scores_gemma":[0.9889432,0.008844487,0.0010156131,0.00074661546,0.00030166883,0.0000047966078,0.000018741111,0.00002417094,0.000100657686],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99817044,0.000010233658,0.00044070638,0.0008179098,0.00004363098,0.0005170996],"domain_scores_gemma":[0.99849296,0.000085228836,0.00021060096,0.000392477,0.000052666735,0.00076609664],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012196252,0.00019991532,0.00033393438,0.00035048675,0.00041626644,0.00059049984,0.0003939971,0.00010790844,0.00004219824],"category_scores_gemma":[0.00010065308,0.00024957894,0.000038916878,0.00015742729,0.00091525464,0.0014150628,0.00015260768,0.00013870737,0.00016948482],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051624604,0.00003159011,0.91401494,0.0000131589595,0.000029223309,0.000012524253,0.002340419,0.0001797274,0.00004807984,0.06431437,0.015158052,0.0038063002],"study_design_scores_gemma":[0.0016235437,0.00013712356,0.39033303,0.00013094753,0.000020648413,0.00012776462,0.0011385734,0.014302159,0.000079393074,0.036567364,0.55374986,0.0017896233],"about_ca_topic_score_codex":0.02164556,"about_ca_topic_score_gemma":0.01630993,"teacher_disagreement_score":0.5385918,"about_ca_system_score_codex":0.00070902513,"about_ca_system_score_gemma":0.0004676159,"threshold_uncertainty_score":0.99999565},"labels":[],"label_agreement":null},{"id":"W2221567358","doi":"10.2139/ssrn.2627760","title":"Catch Me If You Can: Financial Misconduct Around Corporate Headquarters Relocations","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Misconduct; Business; Finance; Management; Accounting; Political science; Economics; Law","score_opus":0.047047442241258564,"score_gpt":0.22270534037709203,"score_spread":0.17565789813583346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2221567358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94941837,0.0021150692,0.0072225193,0.009169713,0.002231206,0.00020156523,0.000047138787,0.000062411294,0.02953204],"genre_scores_gemma":[0.99126166,0.0015387307,0.00019858177,0.00027636293,0.00075323647,0.000009434183,0.000028118196,0.000047564197,0.0058863126],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99693143,0.000035088797,0.00075062143,0.0003672444,0.00006781997,0.0018477984],"domain_scores_gemma":[0.9985621,0.00002472988,0.00071164605,0.00032136668,0.00012290533,0.00025727384],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0032803463,0.00022510419,0.00042362342,0.00025829452,0.00028868997,0.0002045769,0.00037919334,0.00015171895,0.000042411884],"category_scores_gemma":[0.0002616775,0.0002671087,0.00015251125,0.00026916596,0.000082715575,0.00039670605,0.000034025754,0.0012426111,0.0005141747],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012838452,0.00018821565,0.049545154,0.000011009079,0.00022218438,0.000012323019,0.0021056714,0.0011824315,0.000019855639,0.9289911,0.009540692,0.0080530085],"study_design_scores_gemma":[0.0013151488,0.0003073143,0.00092711626,0.000010163119,0.00001969138,0.0003054169,0.0022791142,0.0014367343,0.000014854412,0.9478954,0.045000333,0.00048870005],"about_ca_topic_score_codex":0.0008280946,"about_ca_topic_score_gemma":0.0025748578,"teacher_disagreement_score":0.048618037,"about_ca_system_score_codex":0.0022561743,"about_ca_system_score_gemma":0.002824089,"threshold_uncertainty_score":0.9999781},"labels":[],"label_agreement":null},{"id":"W2222953298","doi":"","title":"Value of Presale Contracts of Condominiums","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Payment; Business; Value (mathematics); Actuarial science; Finance; Commerce","score_opus":0.0136982226865613,"score_gpt":0.20875819355883077,"score_spread":0.19505997087226948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2222953298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9338628,0.0072935387,0.0027118528,0.000098322016,0.00054625986,0.00009217932,0.000014632653,0.000007685463,0.055372737],"genre_scores_gemma":[0.99407697,0.004986583,0.0001976799,0.000026880214,0.00022537155,0.0000016528072,0.0000018195923,0.000021684478,0.00046133762],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99778295,0.000023133733,0.0007496657,0.000109240464,0.000030212024,0.0013048293],"domain_scores_gemma":[0.99882793,0.00008284489,0.0007978937,0.0001736409,0.00003235144,0.00008533238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030808276,0.00010723485,0.00044531573,0.00015491596,0.000045981273,0.000013080732,0.00021010106,0.00008807451,0.00012171149],"category_scores_gemma":[0.00014080705,0.00011896431,0.00016620761,0.00008594181,0.00006307185,0.0003192392,0.00002694407,0.00051014,0.00006122246],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008643679,0.0001453006,0.091016375,0.000014962225,0.00017021687,1.6627254e-7,0.00028444023,0.00005943569,0.00019852344,0.90489185,0.000076048476,0.0030562263],"study_design_scores_gemma":[0.005372169,0.0006339808,0.033720605,0.000053718235,0.000074591655,0.0002568985,0.0011768863,0.001007677,0.0035698728,0.92047256,0.032984976,0.00067603745],"about_ca_topic_score_codex":0.00009813422,"about_ca_topic_score_gemma":0.00003074361,"teacher_disagreement_score":0.0602142,"about_ca_system_score_codex":0.00025586932,"about_ca_system_score_gemma":0.00025854484,"threshold_uncertainty_score":0.48512235},"labels":[],"label_agreement":null},{"id":"W2224346108","doi":"10.1080/10835547.2015.12091742","title":"The Impact of Traffic Noise on Housing Values","year":2015,"lang":"en","type":"article","venue":"Journal of Real Estate Practice and Education","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Research Manitoba","funders":"","keywords":"Nuisance; Traffic noise; Noise (video); Memphis; Roadway noise; Property value; Noise pollution; Transport engineering; Econometrics; Business; Computer science; Economics; Engineering; Finance; Political science; Law","score_opus":0.043143365564236424,"score_gpt":0.31480468708829906,"score_spread":0.27166132152406264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2224346108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94172364,0.0003284448,0.00002198909,0.00112946,0.00058613287,0.000043439763,0.0000022810013,0.0000026150785,0.056162015],"genre_scores_gemma":[0.97606003,0.023121564,0.00048958784,0.00003150936,0.00021213412,6.434366e-7,0.0000010897305,0.000009869821,0.00007359093],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999283,0.00003613395,0.000468857,0.00007405467,0.000031785683,0.00010616183],"domain_scores_gemma":[0.9981847,0.00029567294,0.0011681495,0.000104390354,0.00014828483,0.00009884257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001803386,0.0000682059,0.00017997072,0.00012263685,0.000074712094,0.000105335246,0.00007846672,0.00003446381,0.0000038963],"category_scores_gemma":[0.0007747344,0.000052080206,0.000071625735,0.000081368526,0.000038258433,0.0006290868,0.000008942733,0.00012983734,0.0000113778915],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013619653,0.0007472146,0.016704004,0.000027486125,0.00020193416,0.0000037874568,0.010765239,0.016405914,0.000018005627,0.0016116666,0.010688306,0.9414645],"study_design_scores_gemma":[0.008577644,0.013867044,0.24661532,0.00058812246,0.0005481705,0.0014576125,0.09538977,0.05066476,0.00026087576,0.090731345,0.48923174,0.0020676171],"about_ca_topic_score_codex":0.0005331192,"about_ca_topic_score_gemma":0.000009397543,"teacher_disagreement_score":0.93939686,"about_ca_system_score_codex":0.00015028057,"about_ca_system_score_gemma":0.0003053704,"threshold_uncertainty_score":0.21237691},"labels":[],"label_agreement":null},{"id":"W2228188164","doi":"","title":"Cost offsets of housing first programs in 5 Canadian cities","year":2013,"lang":"en","type":"article","venue":"141st APHA Annual Meeting and Exposition (November 2 - November 6, 2013)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Economic growth; Economics","score_opus":0.030062214581802884,"score_gpt":0.2132743072416421,"score_spread":0.1832120926598392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2228188164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92319065,0.0005042339,0.000053453583,0.000978735,0.00046178364,0.0005469874,0.00016621474,0.00005528371,0.07404264],"genre_scores_gemma":[0.9977219,0.00028200445,0.00079456996,0.00032659958,0.00016093503,0.000098062636,0.00010885234,0.000060134407,0.00044693938],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974831,0.000029610943,0.0009933992,0.00054994604,0.00006515308,0.00087879226],"domain_scores_gemma":[0.9987382,0.000085180254,0.00041494,0.0003100447,0.0001093118,0.0003422829],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00075190334,0.00031415402,0.0006003039,0.0005304565,0.00026122533,0.00023003244,0.00019212732,0.00025344337,0.0004766246],"category_scores_gemma":[0.000070052345,0.0003788859,0.00011238774,0.00032235828,0.00017929437,0.0007947034,0.00008889529,0.00023829257,0.0003238401],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004317294,0.00028198175,0.96531653,0.00021576298,0.00007894186,0.000011041592,0.006774469,0.00027091237,0.00004117589,0.0075819134,0.011296219,0.008087872],"study_design_scores_gemma":[0.009399568,0.0011226165,0.58516324,0.0026118073,0.00010509838,0.0001356251,0.01548406,0.029668113,0.000682974,0.030530928,0.31926686,0.0058290884],"about_ca_topic_score_codex":0.5095278,"about_ca_topic_score_gemma":0.2803678,"teacher_disagreement_score":0.38015327,"about_ca_system_score_codex":0.00024598313,"about_ca_system_score_gemma":0.00007535038,"threshold_uncertainty_score":0.9998663},"labels":[],"label_agreement":null},{"id":"W2228690337","doi":"","title":"Why has the mortgage debt increased by so much in Canada","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Floating interest rate; Monetary economics; Inflation (cosmology); Economics; Interest rate; Debt; Secondary mortgage market; Mortgage underwriting; Household debt; Real interest rate; Cost of funds index; Debt service ratio; Financial system; Mortgage insurance; Internal debt; Debt levels and flows; Finance","score_opus":0.05007446007126512,"score_gpt":0.25886740026064625,"score_spread":0.20879294018938113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2228690337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7125097,0.0011205837,0.00000436545,0.0033051153,0.0011334168,0.0010033221,0.00074198033,0.000031271597,0.28015023],"genre_scores_gemma":[0.9866068,0.009922467,0.00012347252,0.0012766275,0.00027303613,0.000340372,0.00026893523,0.0001672151,0.001021124],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99452984,0.00028278443,0.0019168573,0.001567747,0.00013547257,0.0015672935],"domain_scores_gemma":[0.9962116,0.00072576833,0.00064555014,0.0019137872,0.00008532981,0.00041798106],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.006229528,0.00057712663,0.0013607994,0.0007239673,0.00033720265,0.0006879626,0.0019126493,0.00058312534,0.00039256003],"category_scores_gemma":[0.0009484179,0.0006507767,0.00021442134,0.00029882946,0.0004914435,0.0002110943,0.0014289253,0.0028861882,0.00006875456],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006184667,0.00081379036,0.6619648,0.00060163194,0.00061169587,0.0003100038,0.003055589,0.045360632,0.00001734886,0.0061950176,0.17051724,0.109933816],"study_design_scores_gemma":[0.0018751092,0.000060880586,0.010606576,0.0001502817,0.000008715415,0.000012089862,0.0014198959,0.08676994,0.000024843323,0.027865702,0.8696813,0.0015246593],"about_ca_topic_score_codex":0.87549645,"about_ca_topic_score_gemma":0.94748765,"teacher_disagreement_score":0.6991641,"about_ca_system_score_codex":0.0093077235,"about_ca_system_score_gemma":0.005216703,"threshold_uncertainty_score":0.99959433},"labels":[],"label_agreement":null},{"id":"W2230021276","doi":"10.1016/j.jocm.2015.12.003","title":"Simulations of firm location decisions: Replicating office location choices in the Greater Toronto Area","year":2015,"lang":"en","type":"article","venue":"Journal of Choice Modelling","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Polytechnique Montréal","funders":"","keywords":"Replicate; Test (biology); Business; Econometrics; Economics; Computer science; Marketing; Statistics","score_opus":0.1380040078716728,"score_gpt":0.28170847052108267,"score_spread":0.14370446264940986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2230021276","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81712526,0.0017846758,0.17435473,0.00025552599,0.00020024323,0.00011920855,0.0000042528422,0.000005104661,0.0061509693],"genre_scores_gemma":[0.9958592,0.00024107355,0.0035663357,0.0000810507,0.00019929878,0.0000025697368,0.000003832572,0.000013494584,0.00003316159],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99843603,0.000031592575,0.0011642072,0.00015501487,0.00007284007,0.0001403228],"domain_scores_gemma":[0.9977347,0.00045009036,0.0011707987,0.00029782506,0.00029204183,0.000054496937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020020506,0.00009689775,0.00029397325,0.00016103878,0.000060134713,0.00006984719,0.00030161947,0.00007469267,0.000018725164],"category_scores_gemma":[0.0007540906,0.000086821026,0.0000684285,0.00024313956,0.000021811502,0.00073783734,0.000019818559,0.0001448323,0.00000921598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037516675,0.00006800298,0.025353586,0.000013088114,0.000015215686,4.1440083e-7,0.002114529,0.9700615,0.0000056523404,0.0011411906,0.00008645209,0.0011028426],"study_design_scores_gemma":[0.0006491989,0.000066936416,0.0067436295,0.00014569244,0.000015463029,0.0000068727336,0.00061088306,0.97754693,0.000025430647,0.00925606,0.0047934614,0.00013943319],"about_ca_topic_score_codex":0.00087553187,"about_ca_topic_score_gemma":0.00046052047,"teacher_disagreement_score":0.1787339,"about_ca_system_score_codex":0.00024069488,"about_ca_system_score_gemma":0.000064845015,"threshold_uncertainty_score":0.35404587},"labels":[],"label_agreement":null},{"id":"W2232912475","doi":"10.1111/j.1540-5982.2009.01541.x","title":"Canadian city housing prices and urban market segmentation","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Queen's University; Bank of Canada","funders":"","keywords":"Economics; Per capita; House price; Wage; Interest rate; Agricultural economics; Econometrics; Monetary economics; Labour economics","score_opus":0.08552267895044534,"score_gpt":0.174369623146348,"score_spread":0.08884694419590265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2232912475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95516586,0.00071027206,0.0001060364,0.003529666,0.001310139,0.00024161652,0.0002464547,0.000010397187,0.038679525],"genre_scores_gemma":[0.99540013,0.00054422516,0.0013953783,0.0014469189,0.0006700919,0.000004368958,0.000018046556,0.000052962183,0.0004678768],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970737,0.000027234117,0.0013450296,0.00051079993,0.000001890145,0.0010413167],"domain_scores_gemma":[0.99569917,0.00007691695,0.0010347118,0.00037313157,0.00009103491,0.002725011],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013454583,0.0003571024,0.00084556977,0.0015947962,0.00037364126,0.0004611302,0.00047672988,0.0002746037,0.00078062137],"category_scores_gemma":[0.00018588001,0.0005095226,0.00020142528,0.00017418199,0.00012185254,0.0009990647,0.000014663796,0.00037244448,0.00003800836],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011089324,0.000030986877,0.34416863,0.000060615846,0.0002691717,0.000229296,0.0035429571,0.0012730155,0.000009230944,0.62077737,0.007873568,0.021654222],"study_design_scores_gemma":[0.0023231914,0.00084695773,0.070057526,0.00017415718,0.00008326553,0.0007567139,0.0010418869,0.008455749,0.0000767452,0.72557575,0.18849222,0.002115836],"about_ca_topic_score_codex":0.59056085,"about_ca_topic_score_gemma":0.9932228,"teacher_disagreement_score":0.40266198,"about_ca_system_score_codex":0.004032666,"about_ca_system_score_gemma":0.0015580425,"threshold_uncertainty_score":0.99979067},"labels":[],"label_agreement":null},{"id":"W2233718687","doi":"10.2139/ssrn.2192674","title":"Savings in Canada: A Balance Sheet Approach","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Balance sheet; Balance (ability); Economics; Business; Accounting; Medicine; Physical medicine and rehabilitation","score_opus":0.012118056354051967,"score_gpt":0.17532569050702468,"score_spread":0.1632076341529727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2233718687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90607154,0.00516704,0.0023545483,0.0003531627,0.00058487186,0.00008299554,0.000007185754,0.000011405567,0.08536726],"genre_scores_gemma":[0.9954837,0.0032108685,0.00016925586,0.00017538425,0.0003030311,0.0000051529173,0.0000033908443,0.000026556108,0.00062265433],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99676573,0.000017122116,0.0005000617,0.00015751949,0.000032391014,0.0025271734],"domain_scores_gemma":[0.9994393,0.000022511194,0.00024977903,0.00015860035,0.000009276641,0.00012054277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022361816,0.00013771377,0.00031840664,0.00014809416,0.00008824307,0.00004163679,0.00025993094,0.000060787006,0.000085874824],"category_scores_gemma":[0.00005271097,0.00016172504,0.00006647978,0.0001649935,0.000016607719,0.00036922365,0.000032860607,0.0010485931,0.00007894282],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015237138,0.000054413456,0.75109667,0.00000604807,0.00003608934,7.733346e-7,0.00022477377,0.00013915895,0.0000016527322,0.24448815,0.00033957418,0.003597437],"study_design_scores_gemma":[0.0040250304,0.00016822285,0.35436976,0.000045468187,0.000024376022,0.0011519094,0.0072692656,0.014295051,0.00001674157,0.5238307,0.092647515,0.0021559626],"about_ca_topic_score_codex":0.33918428,"about_ca_topic_score_gemma":0.6059629,"teacher_disagreement_score":0.39672694,"about_ca_system_score_codex":0.005510813,"about_ca_system_score_gemma":0.0017103624,"threshold_uncertainty_score":0.9983069},"labels":[],"label_agreement":null},{"id":"W2236301932","doi":"10.1108/jpif-02-2014-0010","title":"The impact of lease structures on the optimal holding period for a commercial real estate portfolio","year":2015,"lang":"en","type":"article","venue":"Journal of Property Investment and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Lease; Portfolio; Real estate; Renting; Economics; Mean reversion; Asset (computer security); Actuarial science; Econometrics; Financial economics; Finance; Computer science; Engineering","score_opus":0.07841628391189549,"score_gpt":0.26691114235582325,"score_spread":0.18849485844392777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2236301932","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98064053,0.00042620042,0.000056728157,0.0011209622,0.00026337415,0.00020691227,0.000032910793,0.0000023292207,0.017250037],"genre_scores_gemma":[0.994182,0.0045407177,0.0005893768,0.00013622934,0.00018270657,0.000007676648,0.0000012503738,0.000014406131,0.00034565284],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99903494,0.000020931602,0.000584333,0.00011726082,0.000039520917,0.00020301773],"domain_scores_gemma":[0.9988229,0.00007379117,0.00079806807,0.00016430531,0.000074648,0.000066241206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011854368,0.00012994614,0.00033144397,0.000067648005,0.0001918521,0.00010699654,0.00022025329,0.000047661175,0.000007653159],"category_scores_gemma":[0.00018615987,0.000061771454,0.00017099145,0.00006353674,0.00015252091,0.00017580931,0.00003608424,0.0001500926,0.0000023440089],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009548234,0.0008164409,0.09399822,0.000117964286,0.0011605076,0.000055688495,0.01949331,0.023012225,0.00019561489,0.47844726,0.17185767,0.20129685],"study_design_scores_gemma":[0.012077317,0.013259041,0.14969338,0.0002988995,0.00014463333,0.00032371166,0.0032638442,0.08270331,0.0008275022,0.1735305,0.56225187,0.0016259745],"about_ca_topic_score_codex":0.00017284062,"about_ca_topic_score_gemma":0.000010213696,"teacher_disagreement_score":0.3903942,"about_ca_system_score_codex":0.000107283544,"about_ca_system_score_gemma":0.000119281816,"threshold_uncertainty_score":0.25189668},"labels":[],"label_agreement":null},{"id":"W2236722952","doi":"","title":"Property Value Vulnerability: Floods (THMP Generalized)","year":2005,"lang":"en","type":"article","venue":"downloadable data","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Geography; Tiger; Valuation (finance); Occupancy; Property value; Quarter (Canadian coin); Geocoding; Cartography; Engineering; Population; Business; Real estate; Computer science; Civil engineering; Archaeology; Demography; Finance; Sociology; Computer security","score_opus":0.07376962253630875,"score_gpt":0.2548787338519324,"score_spread":0.18110911131562363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2236722952","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13762426,0.0027405543,0.0028548872,0.0079176705,0.0018670883,0.0007965496,0.005240278,0.0004224477,0.84053624],"genre_scores_gemma":[0.9004222,0.0037149915,0.056515217,0.0072756107,0.0037085067,0.000116150986,0.0053501455,0.00023148842,0.022665657],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976038,0.000034482764,0.0007890184,0.0009698911,0.00004992839,0.00055289053],"domain_scores_gemma":[0.9970856,0.000040876486,0.00022190646,0.002432057,0.00002519911,0.00019436178],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0017283977,0.00024674105,0.00051302434,0.00013810617,0.00021985576,0.0002388278,0.0012348009,0.00016819012,0.004943473],"category_scores_gemma":[0.00024459406,0.00022658706,0.000084025385,0.00020527272,0.00008162629,0.0011559197,0.00060925604,0.00025396005,0.007372623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017938582,0.0010393074,0.036597863,0.00018325444,0.00036191277,0.00001837934,0.000749199,0.0043270863,0.00013450619,0.09232502,0.5914626,0.27262148],"study_design_scores_gemma":[0.00054986693,0.000022220918,0.00038577072,0.000006572653,0.000008847171,0.000008615259,0.000013515892,0.06472178,0.00008954467,0.0023854892,0.9314201,0.00038767396],"about_ca_topic_score_codex":0.0011849329,"about_ca_topic_score_gemma":0.000235602,"teacher_disagreement_score":0.8178706,"about_ca_system_score_codex":0.00015314556,"about_ca_system_score_gemma":0.000069066635,"threshold_uncertainty_score":0.99596614},"labels":[],"label_agreement":null},{"id":"W2236786580","doi":"","title":"A Comparison of US and Canadian Residential Mortgage Markets","year":2002,"lang":"en","type":"article","venue":"ERES eBooks","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Government (linguistics); Financial market; Public policy; Globalization; Economics; Finance; Business; Market economy; Economic growth","score_opus":0.04857558075279836,"score_gpt":0.229795460464497,"score_spread":0.18121987971169864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2236786580","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.542982,0.00033376447,0.0000106158695,0.00005313441,0.00014927288,0.00005344872,0.000026343056,0.000008822526,0.45638263],"genre_scores_gemma":[0.99520165,0.000043292373,0.00016578264,0.000064894324,0.00006106681,0.000003462755,0.0000022167326,0.000016896496,0.004440768],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991348,0.00001043061,0.00040095314,0.00020443738,0.000014854383,0.00023455897],"domain_scores_gemma":[0.99946564,0.000027909637,0.00015997884,0.00020140836,0.000008856114,0.00013617928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020947022,0.000093189534,0.00029836321,0.00021067678,0.00009290107,0.00005402944,0.000114816205,0.000079339625,0.00075194106],"category_scores_gemma":[0.00003677398,0.000121927806,0.000048453425,0.000025886178,0.00007069425,0.000053275206,0.000032717522,0.00009295416,0.00010453309],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032930548,0.00004756173,0.91025984,0.00006976431,0.00008705351,0.000015929083,0.0026045283,0.000018771687,0.000032849093,0.036543805,0.02251326,0.027773721],"study_design_scores_gemma":[0.0013050231,0.00012008502,0.34474188,0.000044342938,0.000022029091,0.0000147171895,0.00019200941,0.022117112,0.00048957113,0.014604944,0.6155919,0.00075643376],"about_ca_topic_score_codex":0.032126144,"about_ca_topic_score_gemma":0.08688745,"teacher_disagreement_score":0.5930786,"about_ca_system_score_codex":0.00005032634,"about_ca_system_score_gemma":0.000012424985,"threshold_uncertainty_score":0.97431904},"labels":[],"label_agreement":null},{"id":"W2236974766","doi":"10.1080/10835547.2012.12089916","title":"Point of View: An Institutional View of Global Real Estate Markets","year":2012,"lang":"en","type":"article","venue":"Journal of Real Estate Portfolio Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Latin Americans; Developing country; Executive summary; Developed country; Economy; Geography; Development economics; Economics; Business; Economic growth; Political science; Finance; Population; Demography","score_opus":0.022021721355051677,"score_gpt":0.2483812046151815,"score_spread":0.22635948326012983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2236974766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60510725,0.00016206907,0.00055709004,0.000066879955,0.00067097356,0.00013658058,0.00006629605,0.000007943019,0.39322492],"genre_scores_gemma":[0.85726386,0.13844292,0.003935874,0.0000388938,0.0001479821,0.0000032252785,0.000015010165,0.000021292955,0.00013095654],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9972498,0.000042961583,0.001950257,0.00020779684,0.00012840133,0.00042077914],"domain_scores_gemma":[0.9971013,0.000024425508,0.002176563,0.000334293,0.00010324773,0.0002601794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025483167,0.00021827343,0.00078437495,0.00030453684,0.00005799681,0.000034687488,0.00035489508,0.000073737385,0.00025385455],"category_scores_gemma":[0.000024215427,0.00022928552,0.0002707364,0.00028051657,0.00012053111,0.0009104342,0.00012931069,0.00013357044,0.00003124093],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005953316,0.0011642512,0.27450678,0.0006174207,0.00069334765,0.00012613044,0.0006367014,0.001059827,0.000009254748,0.10087549,0.0020702423,0.6176452],"study_design_scores_gemma":[0.0019627202,0.00043162622,0.8015016,0.00017945627,0.00014930833,0.00016416766,0.00048304664,0.00089519424,0.000030807416,0.0068895696,0.18681145,0.0005010625],"about_ca_topic_score_codex":0.00065633026,"about_ca_topic_score_gemma":0.00004802449,"teacher_disagreement_score":0.61714417,"about_ca_system_score_codex":0.00032862977,"about_ca_system_score_gemma":0.000070779744,"threshold_uncertainty_score":0.93499917},"labels":[],"label_agreement":null},{"id":"W2237111269","doi":"","title":"Approaches to the land evaluation and practice of their application in developed countries","year":2013,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Real estate; Cost approach; Real estate development; Developing country; Income approach; Order (exchange); Business; Real property; Actuarial science; Public economics; Economics; Environmental economics; Finance; Economic growth","score_opus":0.08916495982404314,"score_gpt":0.25272787920119094,"score_spread":0.1635629193771478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2237111269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92064476,0.0028780422,0.0011596793,0.0029386836,0.00088921643,0.0018721047,0.00020654332,0.000029997642,0.069380976],"genre_scores_gemma":[0.9952134,0.0011313355,0.002265432,0.0003153405,0.00020077325,0.0006524368,0.00007462307,0.000045882665,0.00010079985],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974633,0.00014169267,0.0012146279,0.000795627,0.00006332891,0.00032146],"domain_scores_gemma":[0.99713874,0.0006693339,0.0012126695,0.00076946063,0.000113690556,0.00009611606],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0048261597,0.00034529303,0.0007985447,0.00041647002,0.00012260067,0.0001923962,0.00044072964,0.00036480572,0.0001986444],"category_scores_gemma":[0.00072115933,0.0003402458,0.0000977314,0.00015969513,0.0002175809,0.000344717,0.00038143308,0.00041879818,0.00034922195],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068720634,0.000087193774,0.96776736,0.00016369118,0.00013713194,3.663015e-7,0.0030659758,0.0015775508,0.0000014535309,0.018631486,0.0010542733,0.0074448125],"study_design_scores_gemma":[0.0020441392,0.00010216219,0.63311315,0.00026741976,0.0001345062,0.00005284642,0.0016431203,0.06913006,0.000072910276,0.04907896,0.2424334,0.0019273142],"about_ca_topic_score_codex":0.0010240454,"about_ca_topic_score_gemma":0.0011844255,"teacher_disagreement_score":0.33465418,"about_ca_system_score_codex":0.00044567045,"about_ca_system_score_gemma":0.00030658962,"threshold_uncertainty_score":0.99990493},"labels":[],"label_agreement":null},{"id":"W22378034","doi":"","title":"Yield Compression and Risk Premia: A Comparison of the US, UK and Australian Real Estate Markets","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Real estate; Yield (engineering); Capitalization rate; Economics; Financial economics; Investment (military); Risk premium; Yield curve; Real estate investment trust; Asset (computer security); Interest rate; Investment performance; Monetary economics; Business; Finance; Return on investment; Microeconomics; Production (economics)","score_opus":0.057588917070709775,"score_gpt":0.31282515697541474,"score_spread":0.25523623990470495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W22378034","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8012459,0.00019866644,0.0000029084133,0.00014223959,0.00044051677,0.00059485954,0.00024153505,0.000015707754,0.19711764],"genre_scores_gemma":[0.8888961,0.10962826,0.000479577,0.000014997639,0.00010284341,0.000033396325,0.000019909075,0.0000595307,0.0007653761],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99631125,0.00015978924,0.0015654966,0.0010978034,0.00007885643,0.0007867857],"domain_scores_gemma":[0.996768,0.00077186886,0.0010816864,0.0010977773,0.000049925642,0.00023076896],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004115654,0.00039053554,0.0011483786,0.0005680958,0.00026975662,0.0002025034,0.000675669,0.0007591334,0.00009841298],"category_scores_gemma":[0.0005000061,0.00040872747,0.00017949841,0.00013557108,0.0007011507,0.00011413118,0.0017646308,0.0021940833,0.0000053584185],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019325933,0.00009438837,0.8752553,0.00025651354,0.000096906755,0.000003365465,0.00088326936,0.0016686254,0.000011436087,0.0003622427,0.0001618622,0.12101282],"study_design_scores_gemma":[0.001186451,0.00012195583,0.92322016,0.00057749834,0.000029227936,0.000010844497,0.0007465419,0.03801365,0.00019304865,0.0067701912,0.028255794,0.00087461143],"about_ca_topic_score_codex":0.0031640488,"about_ca_topic_score_gemma":0.0030842237,"teacher_disagreement_score":0.19635227,"about_ca_system_score_codex":0.0004690289,"about_ca_system_score_gemma":0.00013381665,"threshold_uncertainty_score":0.99983644},"labels":[],"label_agreement":null},{"id":"W2243138102","doi":"","title":"A Comprehensive Method for House Price Sustainability Assessment","year":2015,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"House price; Sustainability; Economics; Quarter (Canadian coin); Aggregate (composite); Loan; Process (computing); Econometrics; Macroeconomics; Computer science","score_opus":0.08266841634984874,"score_gpt":0.367130386379981,"score_spread":0.2844619700301323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2243138102","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3882593,0.00030786998,0.008518043,0.0029008829,0.001284006,0.0034005048,0.00020424764,0.00024236504,0.5948828],"genre_scores_gemma":[0.9416736,0.0017740387,0.05241612,0.00039016918,0.00039589722,0.0007368679,0.000039031198,0.00021483203,0.002359462],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99656993,0.00016351091,0.0010750784,0.0010179187,0.000063182015,0.0011103885],"domain_scores_gemma":[0.9970926,0.0010137344,0.00030949022,0.00089653657,0.0002987289,0.0003888955],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0061819814,0.00027441702,0.0007979602,0.00059431576,0.00020138703,0.00020931236,0.0005632389,0.00024849264,0.000063705964],"category_scores_gemma":[0.0012772895,0.00035144045,0.00021319343,0.0002593194,0.00020324838,0.00034735465,0.0002982831,0.0005363819,0.000050563616],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012169197,0.0016743578,0.18671636,0.0008478677,0.00040852683,0.000045909936,0.0039210822,0.0342641,0.000038893904,0.26313022,0.0029788734,0.50475687],"study_design_scores_gemma":[0.0032969469,0.00040761754,0.012428872,0.000020074976,0.0000053156227,0.000011807947,0.0032569834,0.14281718,0.000028027174,0.14294992,0.6940295,0.00074771396],"about_ca_topic_score_codex":0.00025295085,"about_ca_topic_score_gemma":0.00013420767,"teacher_disagreement_score":0.69105065,"about_ca_system_score_codex":0.003415492,"about_ca_system_score_gemma":0.0006199898,"threshold_uncertainty_score":0.9998938},"labels":[],"label_agreement":null},{"id":"W2243750027","doi":"","title":"AN EXPERIMENTAL TEST OF TAYLOR-TYPE RULES WITH INEXPERIENCED CENTRAL BANKERS","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; McGill University","funders":"","keywords":"Inflation (cosmology); Monetary policy; Set (abstract data type); Control (management); Test (biology); Class (philosophy); Decision rule; Population; Economics; Taylor rule; Econometrics; Computer science; Central bank; Keynesian economics; Artificial intelligence; Microeconomics; Management","score_opus":0.031934369051230864,"score_gpt":0.2833798832812681,"score_spread":0.25144551423003725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2243750027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8290995,0.00023137873,0.000010861609,0.00004834757,0.00051045767,0.0005575941,0.000269887,0.000045319757,0.16922668],"genre_scores_gemma":[0.9943428,0.0017954404,0.0027085014,0.000034857403,0.00028380135,0.00012428337,0.0002775238,0.00014209392,0.0002906849],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99555963,0.00007906042,0.0015416498,0.0014702509,0.0001014461,0.0012479648],"domain_scores_gemma":[0.99718,0.00025036215,0.0007389523,0.0014365911,0.00009029788,0.0003038293],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001286676,0.0005281488,0.001246448,0.001001662,0.00016467436,0.00026611332,0.0011270314,0.0005729442,0.00034786208],"category_scores_gemma":[0.00020105277,0.00063915836,0.0002054145,0.00023839725,0.0007132514,0.00036236132,0.0005413349,0.0011129539,0.00003382782],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011733713,0.0033762967,0.8782676,0.0004872707,0.0002890128,0.00008941163,0.006021252,0.048975978,0.0009937636,0.010154523,0.00018910103,0.049982414],"study_design_scores_gemma":[0.017006287,0.009043407,0.3703086,0.0018981711,0.00008173581,0.000120852594,0.018084671,0.43548232,0.02082914,0.03151544,0.081890345,0.013739011],"about_ca_topic_score_codex":0.001247022,"about_ca_topic_score_gemma":0.000517442,"teacher_disagreement_score":0.507959,"about_ca_system_score_codex":0.0013288601,"about_ca_system_score_gemma":0.00035952753,"threshold_uncertainty_score":0.99960595},"labels":[],"label_agreement":null},{"id":"W2246972408","doi":"10.1007/s11146-016-9586-8","title":"The Housing Market Effects of Local Home Purchase Restrictions: Evidence from Beijing","year":2016,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":139,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Beijing; Database transaction; Economics; Renting; China; Quarter (Canadian coin); Business; Value (mathematics); Transaction cost; Labour economics; Monetary economics; Microeconomics","score_opus":0.017104014619847653,"score_gpt":0.20665888531318788,"score_spread":0.18955487069334023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2246972408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888492,0.0024264022,0.0049297973,0.0010711347,0.0007825774,0.00011697074,0.000035939207,0.0000071417953,0.0017808161],"genre_scores_gemma":[0.6343116,0.36517137,0.0002754432,0.000023487144,0.00012652484,0.000001932298,2.7143602e-7,0.000017921726,0.000071443086],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9983306,0.0000581417,0.0010732053,0.00019445624,0.000029067265,0.00031452702],"domain_scores_gemma":[0.99595755,0.0020480696,0.0014973397,0.00037262094,0.000049787217,0.00007460369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018329266,0.00017599484,0.00049857737,0.000118569464,0.00028623975,0.00007944661,0.00042390064,0.00008493502,0.000012229426],"category_scores_gemma":[0.00020159596,0.00011235233,0.00013496986,0.00009911103,0.00036562933,0.000666967,0.00010703118,0.0001878154,0.000015702975],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014884385,0.00008189136,0.05691135,0.00008799014,0.00027481187,0.000021083579,0.0016661204,0.001987303,0.00015784614,0.006153909,0.0012786132,0.92989063],"study_design_scores_gemma":[0.011218768,0.0030630608,0.56536573,0.0041487715,0.00051733095,0.0004078806,0.0034479587,0.037303343,0.0043677003,0.20628542,0.16109909,0.0027749746],"about_ca_topic_score_codex":0.00067130674,"about_ca_topic_score_gemma":0.00020809699,"teacher_disagreement_score":0.9271157,"about_ca_system_score_codex":0.00017323534,"about_ca_system_score_gemma":0.000077288336,"threshold_uncertainty_score":0.4581595},"labels":[],"label_agreement":null},{"id":"W2252740070","doi":"10.4000/cybergeo.27493","title":"Identification of locational influence on real property values using data mining methods","year":2016,"lang":"en","type":"article","venue":"Cybergeo","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Neighbourhood (mathematics); Property (philosophy); Econometrics; Property tax; Unit (ring theory); Identification (biology); Computer science; Property value; Value (mathematics); Geography; Data mining; Mathematics; Economics; Accounting; Machine learning","score_opus":0.11791511406186589,"score_gpt":0.32636469867287154,"score_spread":0.20844958461100566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2252740070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9553302,0.00008121728,0.021107828,0.0002413406,0.00044279482,0.000113548,0.00014219174,0.000028225177,0.022512633],"genre_scores_gemma":[0.9821884,0.00026185013,0.016114198,0.000042497522,0.00010226181,0.000005062285,0.000022161532,0.000021731415,0.0012418322],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9987349,0.000032626762,0.00064965186,0.0003951289,0.000026893706,0.00016083277],"domain_scores_gemma":[0.9985802,0.00014671552,0.00045485602,0.0007318032,0.00004587199,0.00004055269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016118229,0.00009482988,0.00022437562,0.00013849635,0.00007480946,0.000032252807,0.00039075775,0.00006603217,0.00010320424],"category_scores_gemma":[0.0005526534,0.00007416091,0.000035857385,0.000125567,0.00008367484,0.00046646892,0.00011834393,0.00003842319,0.00013222336],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020106064,0.00043621685,0.37453485,0.00016868478,0.00028384896,0.000002428961,0.0014716699,0.003210265,0.04699404,0.1132469,0.004389252,0.45506078],"study_design_scores_gemma":[0.0029497254,0.00025896792,0.46248892,0.0006606918,0.00009781636,0.000017963179,0.00033024393,0.31001472,0.02811313,0.10810577,0.084532484,0.0024295615],"about_ca_topic_score_codex":0.00026869497,"about_ca_topic_score_gemma":0.000012933054,"teacher_disagreement_score":0.45263124,"about_ca_system_score_codex":0.000092332644,"about_ca_system_score_gemma":0.000041459032,"threshold_uncertainty_score":0.30241942},"labels":[],"label_agreement":null},{"id":"W2253481810","doi":"10.1111/caje.12237","title":"Has Canadian house price growth been excessive?","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Economics; Speculation; Asset (computer security); House price; Interest rate; Residential property; Monetary economics; Economic bubble; Financial economics; Macroeconomics; Economic geography","score_opus":0.12546560119924294,"score_gpt":0.16489075630284597,"score_spread":0.03942515510360303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2253481810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9511628,0.0005416323,0.00037729368,0.012338921,0.003321161,0.00029448507,0.0007917091,0.000027106618,0.031144883],"genre_scores_gemma":[0.9948504,0.0007474819,0.000534137,0.0012127539,0.0011726778,0.000017767226,0.000009147483,0.0002021477,0.0012535135],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9953638,0.000047737074,0.0020107937,0.0007477884,0.0000026892226,0.0018272097],"domain_scores_gemma":[0.9924142,0.00021475855,0.0015659069,0.00073141116,0.00023868753,0.0048350836],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001572867,0.00052406307,0.0012582409,0.00231655,0.00048011448,0.00046135395,0.0013065299,0.00044555444,0.0019474166],"category_scores_gemma":[0.0007238741,0.00059406797,0.0004621016,0.00024957923,0.0003987889,0.0013448125,0.000039666545,0.00041707518,0.000918471],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007109593,0.000022770531,0.111513086,0.000047550184,0.0003438298,0.00033585526,0.0013880547,0.00026257834,0.000010724998,0.8729856,0.006756506,0.0062623583],"study_design_scores_gemma":[0.0019252077,0.000340915,0.009006896,0.00017377976,0.000038029124,0.0005927313,0.00021358345,0.00033540177,0.000088679146,0.541622,0.44423363,0.0014291863],"about_ca_topic_score_codex":0.7728054,"about_ca_topic_score_gemma":0.99677914,"teacher_disagreement_score":0.4374771,"about_ca_system_score_codex":0.006652407,"about_ca_system_score_gemma":0.004643616,"threshold_uncertainty_score":0.99985945},"labels":[],"label_agreement":null},{"id":"W2253636458","doi":"","title":"Estonian housing market: affordability problem and regulatory framework","year":2011,"lang":"en","type":"article","venue":"18th Annual European Real Estate Society Conference","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Estonian; Real estate; Boom; Business; Quarter (Canadian coin); Government (linguistics); Economics; Economic policy; Market economy; Finance","score_opus":0.034020810750474265,"score_gpt":0.20740868914892457,"score_spread":0.17338787839845032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2253636458","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42742997,0.000040989773,0.0020846643,0.00008077491,0.00017806968,0.00018241329,0.00011953728,0.00014273022,0.56974083],"genre_scores_gemma":[0.96844417,0.0049763704,0.02549684,0.00021400487,0.00010858478,0.000006192668,0.000012454924,0.00008593749,0.00065542635],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9976954,0.0000948634,0.0007382928,0.00080291124,0.000051096184,0.00061746174],"domain_scores_gemma":[0.99855477,0.00007314112,0.00041848773,0.0005718049,0.000083155894,0.00029867308],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017359141,0.0003317165,0.00047890632,0.0000612162,0.00031128578,0.00017020802,0.00036634886,0.00015071672,0.0004689144],"category_scores_gemma":[0.000076591794,0.00039073313,0.00019522176,0.00016549362,0.0004763462,0.00050131214,0.00025684832,0.00041922161,0.0002043577],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030559575,0.00050968473,0.31937245,0.0005837552,0.0003107943,0.00006862504,0.12784302,0.00003325009,0.000023266715,0.182776,0.0057957787,0.36237776],"study_design_scores_gemma":[0.001727718,0.00055101496,0.7737417,0.0002665889,0.000060814516,0.000035895508,0.0096395025,0.0077516804,0.00004154674,0.12549001,0.077910356,0.0027831797],"about_ca_topic_score_codex":0.0007615865,"about_ca_topic_score_gemma":0.00006639175,"teacher_disagreement_score":0.5690854,"about_ca_system_score_codex":0.000109276414,"about_ca_system_score_gemma":0.00007247979,"threshold_uncertainty_score":0.99985445},"labels":[],"label_agreement":null},{"id":"W2254257473","doi":"","title":"The determinants of state foreclosure rates: investigating the case of Indiana","year":2007,"lang":"en","type":"article","venue":"Profitwise","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Foreclosure; Quarter (Canadian coin); State (computer science); Economics; Demographic economics; Business; Geography; Finance; Mathematics","score_opus":0.0397458786175129,"score_gpt":0.26047885454644615,"score_spread":0.22073297592893326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2254257473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902307,0.0005144944,0.00009371808,0.00011728242,0.00022877655,0.00023146883,0.000040802403,0.00000875644,0.008533997],"genre_scores_gemma":[0.99922526,0.00016042223,0.00032806006,0.00005151082,0.000040541236,0.000007922991,0.0000012019261,0.00001869914,0.00016637737],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99870306,0.000018083809,0.0008117764,0.00016543533,0.00001828182,0.00028334805],"domain_scores_gemma":[0.99850386,0.00032549037,0.0007323353,0.00034372538,0.00003842962,0.00005617056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026611816,0.00010459036,0.00026002244,0.00008049852,0.00019290898,0.000033898945,0.00024584387,0.000055515182,0.000015924728],"category_scores_gemma":[0.00035128114,0.000076154916,0.00008332597,0.00018901225,0.00023889559,0.00010817294,0.00006914895,0.00012241483,0.000022746979],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038346014,0.000027872462,0.92353773,0.00010126358,0.00004163089,0.00003851666,0.0031972837,0.00003772411,0.000032601725,0.009854962,0.00018386471,0.06290821],"study_design_scores_gemma":[0.0043524615,0.0009548867,0.3027737,0.00039022864,0.00009989086,0.00060769584,0.010688612,0.06445839,0.06488878,0.5214357,0.027270762,0.0020789162],"about_ca_topic_score_codex":0.00046025217,"about_ca_topic_score_gemma":0.0014781478,"teacher_disagreement_score":0.620764,"about_ca_system_score_codex":0.000032068056,"about_ca_system_score_gemma":0.000032635286,"threshold_uncertainty_score":0.31055075},"labels":[],"label_agreement":null},{"id":"W2256622941","doi":"10.53383/100204","title":"International Real Estate Review","year":2015,"lang":"en","type":"article","venue":"International Real Estate Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Superstition; Real estate; Sample (material); Economics; Estate; Financial economics; Business; Actuarial science; Geography; Finance","score_opus":0.0761742787315664,"score_gpt":0.3045568504148311,"score_spread":0.2283825716832647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2256622941","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010321594,0.0015739817,0.00012584745,0.006222982,0.0023650718,0.00036953774,0.00021291635,0.00008381895,0.9880137],"genre_scores_gemma":[0.0014691208,0.99547935,0.0008698105,0.00087493827,0.00037119686,0.000064967506,0.00037484037,0.000048126214,0.00044764913],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975584,0.000044006967,0.0013594667,0.00054990465,0.00015394855,0.00033424134],"domain_scores_gemma":[0.9982515,0.00007826225,0.0007616215,0.0004177116,0.00023169018,0.00025921105],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0018382145,0.0002743592,0.0007330052,0.00017382493,0.00004662514,0.00011564298,0.00079789135,0.00007238246,0.0013408511],"category_scores_gemma":[0.0006208971,0.00030011765,0.00027513257,0.00019250374,0.00006552738,0.00055651355,0.00019057495,0.00021610518,0.0031955878],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016988735,0.000060701546,0.0018491334,0.0007913237,0.00009899126,0.000026749613,0.00008008566,0.000015642376,5.7024613e-7,0.00097499834,0.021174593,0.9749102],"study_design_scores_gemma":[0.00036194315,0.00003093252,0.00046339197,0.0018758829,0.000023101502,0.000044986675,0.000011488043,0.0008575394,0.0000012555889,0.00026301338,0.99574834,0.0003181021],"about_ca_topic_score_codex":0.0014566064,"about_ca_topic_score_gemma":0.00009139686,"teacher_disagreement_score":0.99390537,"about_ca_system_score_codex":0.0005354847,"about_ca_system_score_gemma":0.00010693562,"threshold_uncertainty_score":0.9999451},"labels":[],"label_agreement":null},{"id":"W2257106040","doi":"","title":"Una nota sobre el exceso de oferta de viviendas y la duración del ajuste del sector [A note on housing supply excess and the duration of the sector adjustment]","year":2009,"lang":"es","type":"article","venue":"MPRA Paper","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Welfare economics; Economics; Residential property; Duration (music); Supply and demand; Economy; Geography; Macroeconomics; Economic geography","score_opus":0.012777328914531575,"score_gpt":0.22778517294329972,"score_spread":0.21500784402876816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2257106040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9750473,0.0011993806,0.0003266189,0.0034993908,0.00056083396,0.0005145303,0.00020537495,0.000028795399,0.018617779],"genre_scores_gemma":[0.9927107,0.0037837613,0.00023610696,0.002359432,0.00045611637,0.000018632996,0.000013765986,0.00006591931,0.00035557634],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975679,0.00021337204,0.0009449585,0.0005707856,0.000088121495,0.0006148978],"domain_scores_gemma":[0.99780124,0.0005215386,0.00079553935,0.00070795463,0.00004807906,0.0001256336],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001335534,0.0004078513,0.00067401305,0.00016749949,0.00043136513,0.0003100132,0.00047199693,0.00035190125,0.00021828603],"category_scores_gemma":[0.00027393826,0.00033030886,0.0002765689,0.00026010722,0.00026934015,0.00041355524,0.00012089864,0.00044909798,0.000041880845],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005065838,0.0018958525,0.56352663,0.0015646489,0.0010439093,0.000043683303,0.031199388,0.013604021,0.009697201,0.22036482,0.004554284,0.14743972],"study_design_scores_gemma":[0.004622719,0.00022512554,0.9183141,0.0004122291,0.00018735969,0.000038975606,0.0003472689,0.048262388,0.0011230939,0.011958597,0.013619373,0.00088874326],"about_ca_topic_score_codex":0.0009776683,"about_ca_topic_score_gemma":0.0004639128,"teacher_disagreement_score":0.3547875,"about_ca_system_score_codex":0.00031895546,"about_ca_system_score_gemma":0.00015463075,"threshold_uncertainty_score":0.9999149},"labels":[],"label_agreement":null},{"id":"W2257268986","doi":"","title":"Growth and Capital Structure of the Listed Chinese Real Estate Firms: An Empirical Investigation","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Real estate; Boom; China; Real estate investment trust; Business; Position (finance); Period (music); Politics; Finance; State (computer science); Accounting; Economics; Political science","score_opus":0.008265369336494948,"score_gpt":0.21532765953916405,"score_spread":0.2070622902026691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2257268986","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965582,0.000060506864,0.00004500134,0.00052446296,0.00040218816,0.00006805645,0.000020773536,0.000010507738,0.0023103133],"genre_scores_gemma":[0.9975868,0.0019345641,0.00013021985,0.000051098352,0.00022353555,5.9708066e-7,0.0000063467646,0.000020070434,0.000046780304],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987155,0.000026214118,0.00040331428,0.00019081683,0.000031014446,0.0006331009],"domain_scores_gemma":[0.99930155,0.00002848756,0.0003680859,0.00018628585,0.000026597034,0.000089017776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006567729,0.00012558933,0.00022292082,0.00009756765,0.0001692274,0.00007367378,0.00023254869,0.00011707973,0.00002897917],"category_scores_gemma":[0.00012766072,0.00010003114,0.000069949565,0.00013522463,0.00013033484,0.00032258363,0.00004188827,0.0012074789,0.0000028447248],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026877438,0.000023614186,0.938693,0.0000091894135,0.000044007527,3.882329e-7,0.0015848042,0.0000139744,0.0017761523,0.053944938,0.000011078119,0.0038719634],"study_design_scores_gemma":[0.00046634764,0.00011621611,0.40243667,0.0000031926486,0.000008166484,0.00014168334,0.00022033676,0.0009861442,0.00012624043,0.595225,0.00010859881,0.00016139247],"about_ca_topic_score_codex":0.0005687801,"about_ca_topic_score_gemma":0.0076039787,"teacher_disagreement_score":0.54128003,"about_ca_system_score_codex":0.000109736575,"about_ca_system_score_gemma":0.00030895567,"threshold_uncertainty_score":0.5245962},"labels":[],"label_agreement":null},{"id":"W2257857879","doi":"10.1017/s1365100514000042","title":"RESIDENTIAL PROPERTY PRICE INDICES FOR TOKYO","year":2015,"lang":"en","type":"article","venue":"Macroeconomic Dynamics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Collinearity; Real estate; Land price; Econometrics; Property (philosophy); Hedonic regression; Hedonic pricing; Order (exchange); Residential property; Price index; Constant (computer programming); Regression; Property value; Land use; Economics; Regression analysis; Linear regression; Mathematics; Statistics; Agricultural economics; Computer science; Engineering; Civil engineering","score_opus":0.035440893720791,"score_gpt":0.22893957091318634,"score_spread":0.19349867719239533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2257857879","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46088597,0.00031804567,0.022078041,0.0020157578,0.0039969594,0.0011220729,0.00068505574,0.00024034001,0.50865775],"genre_scores_gemma":[0.9798622,0.00013349681,0.0056742793,0.0005401221,0.0006355363,0.00013742723,0.00019437431,0.0001226743,0.01269985],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977889,0.0000143421785,0.000917923,0.0006623425,0.000024684688,0.0005918288],"domain_scores_gemma":[0.9986037,0.00006699616,0.00053212483,0.0004935042,0.000050175953,0.00025348394],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012261795,0.00026922728,0.0005789059,0.0002617669,0.00015567495,0.00029562457,0.00052619696,0.00019325587,0.00019671682],"category_scores_gemma":[0.00017625102,0.00028748903,0.00019068542,0.000105407715,0.00010189556,0.0005254259,0.00015364484,0.00015773955,0.0013046958],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010658473,0.0005274828,0.23026723,0.00036541655,0.00057739567,0.000017718226,0.0036240434,0.006065016,0.00001598493,0.6401673,0.07177882,0.045527775],"study_design_scores_gemma":[0.0034759832,0.00026315148,0.0022975944,0.000020347705,0.00002656014,0.000026506164,0.00058462686,0.3313997,0.000035699264,0.16400456,0.49664465,0.0012206277],"about_ca_topic_score_codex":0.00049043813,"about_ca_topic_score_gemma":0.00073590764,"teacher_disagreement_score":0.5189763,"about_ca_system_score_codex":0.0008562038,"about_ca_system_score_gemma":0.0001272825,"threshold_uncertainty_score":0.99995774},"labels":[],"label_agreement":null},{"id":"W2257882143","doi":"10.4324/9780203813256-34","title":"Understanding Consumer Psychology to Avoid Abuse of Credit Cards","year":2012,"lang":"en","type":"book-chapter","venue":"OPUS - Open Publications of UTS Scholars (University of Technology Sydney)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Psychology; Credit card; Advertising; Business; Finance","score_opus":0.10625602874443367,"score_gpt":0.258423540672889,"score_spread":0.1521675119284553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2257882143","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009242415,0.00095218787,0.005750547,0.0050715525,0.00042108164,0.00087114173,0.0012614133,0.00008463115,0.976345],"genre_scores_gemma":[0.78182614,0.00923255,0.056782175,0.00026538252,0.000081124716,0.000012856917,0.00047907085,0.00022180329,0.15109889],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99816597,0.0000140362345,0.00075936003,0.0006507119,0.00006263594,0.00034730852],"domain_scores_gemma":[0.9962757,0.000054919867,0.0016581067,0.0015812246,0.00026510083,0.00016494184],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00090910326,0.00027748634,0.0011643865,0.0029852265,0.0002310443,0.000047507358,0.0025934381,0.0010811149,0.0014040777],"category_scores_gemma":[0.00016383245,0.0004325867,0.00023402533,0.00044331074,0.0007753112,0.0008920239,0.0007989019,0.0006143514,0.00025685143],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005016377,0.00014495474,0.010596045,0.00006514287,0.0004275053,9.045142e-7,0.00024255199,0.0000065721647,0.000078830904,0.97179484,0.014879518,0.0017129914],"study_design_scores_gemma":[0.0011032734,0.0001536341,0.0018648806,0.0001508095,0.00014665215,0.000014414914,0.00046597995,0.000026577623,0.00008238959,0.12874971,0.8665901,0.00065157085],"about_ca_topic_score_codex":0.00019421225,"about_ca_topic_score_gemma":0.00008372791,"teacher_disagreement_score":0.85171056,"about_ca_system_score_codex":0.0003484033,"about_ca_system_score_gemma":0.00013996192,"threshold_uncertainty_score":0.9998126},"labels":[],"label_agreement":null},{"id":"W2258667926","doi":"10.1007/s10479-015-2046-7","title":"Ex-ante real estate Value at Risk calculation method","year":2015,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Value at risk; Basel II; Real estate; Expected shortfall; Lease; Portfolio; Risk management; Market risk; Solvency; Actuarial science; Business; Computer science; Finance; Economics; Market liquidity; Capital requirement; Microeconomics","score_opus":0.389446211350737,"score_gpt":0.45290081348337274,"score_spread":0.06345460213263576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2258667926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70341235,0.00011437642,0.0040301518,0.0014046243,0.00014201172,0.00023181629,0.00013088985,0.000019290432,0.2905145],"genre_scores_gemma":[0.97736955,0.0075064977,0.009805006,0.000051334606,0.00014123724,0.000027694916,0.000074973046,0.000033437438,0.0049902904],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99840504,0.00021635002,0.00058961986,0.00033048796,0.000094523246,0.00036397768],"domain_scores_gemma":[0.99876,0.0001634235,0.00009671168,0.00042505583,0.00037955065,0.00017527053],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006870102,0.00009631774,0.00028245233,0.00042712677,0.0002760004,0.00011599585,0.000222521,0.00009578054,0.00018484588],"category_scores_gemma":[0.0009084838,0.00011025091,0.000087831395,0.00037657193,0.00010008118,0.00036415798,0.00014521461,0.00021063403,0.00092566735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045648983,0.0005688608,0.16072135,0.00008026937,0.00032130815,0.000014237181,0.011177167,0.3602089,0.00040002016,0.34858662,0.052314416,0.06515039],"study_design_scores_gemma":[0.0010393967,0.0003663169,0.02224218,0.000019990768,0.000007839363,0.000006821626,0.0004805031,0.8388153,0.0021680838,0.025075672,0.10932166,0.00045629108],"about_ca_topic_score_codex":0.008720905,"about_ca_topic_score_gemma":0.0011098,"teacher_disagreement_score":0.47860634,"about_ca_system_score_codex":0.000115714516,"about_ca_system_score_gemma":0.000107110696,"threshold_uncertainty_score":0.99985224},"labels":[],"label_agreement":null},{"id":"W2258925744","doi":"","title":"Mortgage Property Rights and Post-Default Incentives","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Foreclosure; Incentive; Real estate; Business; Forbearance; Order (exchange); Actuarial science; Economics; Finance; Microeconomics","score_opus":0.009319816923975885,"score_gpt":0.1908551166171006,"score_spread":0.18153529969312474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2258925744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95924234,0.002314863,0.0024808845,0.001101503,0.0002945277,0.0001201159,0.000009187824,0.000033158693,0.034403406],"genre_scores_gemma":[0.99378794,0.0037898629,0.00019096116,0.00013201642,0.00020244911,0.0000029773107,0.0000034820555,0.000024725696,0.0018655978],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979084,0.000013262237,0.00042391158,0.00027546464,0.000027058848,0.001351907],"domain_scores_gemma":[0.99946535,0.0000126570985,0.00024104782,0.00014960855,0.000029630255,0.00010171373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011737365,0.00015661094,0.0002775995,0.00016409367,0.00031255663,0.00014079668,0.00018795115,0.00008684512,0.00005696995],"category_scores_gemma":[0.0000438386,0.0001295314,0.000092506336,0.00009047208,0.00007094748,0.00043540876,0.00004561821,0.0008652496,0.00019659943],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095049974,0.00016056535,0.013030371,0.0000135739865,0.00022905832,0.000011991511,0.000949594,0.000113407084,0.00010491444,0.9711946,0.00007158344,0.0140252765],"study_design_scores_gemma":[0.0011369511,0.00021915659,0.004121193,0.000013387931,0.000008544305,0.00028350658,0.00026868036,0.00011473256,0.000035984474,0.9822031,0.011313025,0.00028173588],"about_ca_topic_score_codex":0.0007789064,"about_ca_topic_score_gemma":0.001176859,"teacher_disagreement_score":0.034545574,"about_ca_system_score_codex":0.0007881912,"about_ca_system_score_gemma":0.00031840272,"threshold_uncertainty_score":0.5282137},"labels":[],"label_agreement":null},{"id":"W2259300565","doi":"","title":"Does inequality cause financial distress? Evidence from lottery winners and neighboring bankruptcies","year":2016,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Lottery; Financial distress; Liberian dollar; Economics; Context (archaeology); Bankruptcy; Inequality; Consumption (sociology); Balance sheet; Economic inequality; Cash; Demographic economics; Labour economics; Monetary economics; Finance; Financial system; Microeconomics; Sociology","score_opus":0.05632951023807567,"score_gpt":0.2859505950983666,"score_spread":0.22962108486029095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2259300565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9817302,0.00024528147,0.00005779601,0.0014397992,0.0006552744,0.00023378029,0.0003048427,0.000043836277,0.015289171],"genre_scores_gemma":[0.9777646,0.02060992,0.00029128446,0.000104620114,0.00037951092,0.000054562617,0.000009929153,0.00004930937,0.0007362573],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968935,0.00009853218,0.001056897,0.0010442933,0.000058516827,0.0008482383],"domain_scores_gemma":[0.99730814,0.0013470156,0.00029680037,0.0007813954,0.000036370955,0.00023031197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022170374,0.00028196114,0.0006322425,0.0003656814,0.00021830089,0.00023099652,0.00047177766,0.00023208915,0.000313248],"category_scores_gemma":[0.0020103166,0.00022272814,0.000113052694,0.000144712,0.0004755526,0.0008569655,0.00040095154,0.0003648665,0.00008106883],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015697899,0.00006468196,0.8251224,0.00004534718,0.00004523307,0.000020725245,0.0005627238,0.000045491193,0.00023555943,0.0036129144,0.00006673682,0.17002118],"study_design_scores_gemma":[0.0026699095,0.00018030216,0.8824535,0.00074471947,0.000012240078,0.000006297911,0.0005779106,0.0025739009,0.00071748527,0.05444949,0.05405118,0.0015630429],"about_ca_topic_score_codex":0.0007103417,"about_ca_topic_score_gemma":0.0014143288,"teacher_disagreement_score":0.16845813,"about_ca_system_score_codex":0.0006783509,"about_ca_system_score_gemma":0.00009464098,"threshold_uncertainty_score":0.908259},"labels":[],"label_agreement":null},{"id":"W2261733696","doi":"","title":"Determinants of Cyclical Aggregate Dividend Behavior","year":2012,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dividend; Economics; Econometrics; Earnings; Dividend payout ratio; Smoothing; Heteroscedasticity; Stock (firearms); Stock market; Financial economics; Monetary economics; Dividend policy; Mathematics; Statistics; Finance","score_opus":0.038779646941907504,"score_gpt":0.2545484842760836,"score_spread":0.21576883733417612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2261733696","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8718193,0.11888917,0.00001612651,0.000079471414,0.00031753886,0.00022045971,0.00012203031,0.0000051046804,0.008530767],"genre_scores_gemma":[0.5585908,0.4406236,0.00054774695,0.00009525499,0.000049800637,0.000016401445,0.0000037147108,0.000015424768,0.00005720699],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981706,0.000011446002,0.0012219467,0.00026999236,0.000011145389,0.0003148438],"domain_scores_gemma":[0.9984037,0.000055047803,0.001067949,0.0003807579,0.000020153308,0.00007234089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089626096,0.00017364485,0.0009911511,0.000088953464,0.000041884312,0.000012145697,0.00020106723,0.00009232656,0.00007982338],"category_scores_gemma":[0.00008402893,0.0002011915,0.00018386768,0.00007869708,0.00013166975,0.00033000077,0.000105522646,0.00008328705,0.000059038895],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017773944,0.00026914824,0.6660664,0.0034049277,0.00003404287,0.0000011170648,0.00013299419,0.0000060472225,0.000006012066,0.19428684,0.00030635166,0.13546836],"study_design_scores_gemma":[0.0013753055,0.0002466112,0.41103387,0.004970821,0.00014208378,0.00007876358,0.00002397876,0.0023345698,0.0009377105,0.01444558,0.5629657,0.0014450134],"about_ca_topic_score_codex":0.000048104666,"about_ca_topic_score_gemma":0.000009749487,"teacher_disagreement_score":0.5626594,"about_ca_system_score_codex":0.000034573368,"about_ca_system_score_gemma":0.000017290267,"threshold_uncertainty_score":0.8204351},"labels":[],"label_agreement":null},{"id":"W2263808659","doi":"10.2139/ssrn.1423312","title":"Crawford Development Co. And Southeast Bank of Texas","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Business; Financial system","score_opus":0.013076257446469656,"score_gpt":0.20260412273076775,"score_spread":0.1895278652842981,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2263808659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9178926,0.0025845175,0.004897419,0.0005349614,0.00018169016,0.00007871319,0.0000054984016,0.000015687563,0.07380894],"genre_scores_gemma":[0.9953663,0.003050503,0.00040766486,0.00006937197,0.000092863935,5.164502e-7,0.0000023215505,0.000012955719,0.0009975465],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982918,0.000008540315,0.0005312217,0.00017084215,0.000024561112,0.0009730637],"domain_scores_gemma":[0.99947613,0.000014456247,0.0003116498,0.00011018309,0.000017441931,0.000070120426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014582204,0.00011634338,0.00028954635,0.0001731605,0.0001146808,0.000048989656,0.00014997332,0.000066023465,0.00009530216],"category_scores_gemma":[0.000027679156,0.00012837956,0.000064641834,0.00007171338,0.000033405056,0.00014339825,0.000014636518,0.0004675587,0.00008784199],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009087804,0.00013178811,0.101198986,0.000013950231,0.00016428909,0.0000021834435,0.0006123993,0.000030209618,0.0000310862,0.7628638,0.00018395345,0.13467644],"study_design_scores_gemma":[0.0014386652,0.00041286438,0.055300944,0.000026171934,0.000011172127,0.0002408309,0.00066318584,0.00032800995,0.00016472497,0.8958472,0.045084875,0.00048132837],"about_ca_topic_score_codex":0.000012869736,"about_ca_topic_score_gemma":0.000063262574,"teacher_disagreement_score":0.1341951,"about_ca_system_score_codex":0.00031064526,"about_ca_system_score_gemma":0.00034889282,"threshold_uncertainty_score":0.52351665},"labels":[],"label_agreement":null},{"id":"W2264100360","doi":"10.3386/w21952","title":"Bankruptcy and Investment: Evidence from Changes in Marital Property Laws in the U.S. South, 1840-1850","year":2016,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; York University","funders":"","keywords":"Bankruptcy; Property (philosophy); Investment (military); Law; Economics; Business; Political science; Philosophy","score_opus":0.46262721864742445,"score_gpt":0.4360685043051786,"score_spread":0.02655871434224588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2264100360","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09480216,0.005540873,0.0000025889906,0.0052612224,0.00065754086,0.0011642665,0.0007364825,0.000012282329,0.8918226],"genre_scores_gemma":[0.97681874,0.017082132,0.00012773351,0.00015637958,0.00095328584,0.00028054466,0.00017846939,0.00006488322,0.0043378505],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99674255,0.00018031469,0.0012654783,0.00095225166,0.00028510188,0.0005742962],"domain_scores_gemma":[0.997026,0.0015769333,0.00059350993,0.0005163585,0.00019710002,0.00009006484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011592209,0.0002947483,0.00086436694,0.0013935161,0.000101360485,0.00019816206,0.0008585407,0.00048195705,0.0006857248],"category_scores_gemma":[0.0020624972,0.00022707431,0.000116212395,0.00022736409,0.00040165405,0.0004029703,0.0003288927,0.0007753951,0.00032891487],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046171297,0.00045354292,0.545574,0.0008346955,0.0003689994,0.000054238335,0.005828955,0.00016935958,0.000040665003,0.380096,0.048119713,0.01799809],"study_design_scores_gemma":[0.001184842,0.0001497495,0.039161354,0.00083809055,0.00000801956,0.0000136997705,0.00026026854,0.00079481525,0.00002249366,0.8937066,0.0632027,0.00065734406],"about_ca_topic_score_codex":0.012784016,"about_ca_topic_score_gemma":0.01197472,"teacher_disagreement_score":0.8874847,"about_ca_system_score_codex":0.0019624252,"about_ca_system_score_gemma":0.0010744155,"threshold_uncertainty_score":0.9937899},"labels":[],"label_agreement":null},{"id":"W2265301861","doi":"10.34989/swp-2014-54","title":"International House Price Cycles, Monetary Policy and Risk Premiums","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"House price; Economics; Logit; Monetary policy; Econometrics; Price risk; Price level; Measure (data warehouse); Financial economics; Monetary economics; Futures contract; Computer science","score_opus":0.017228809970384326,"score_gpt":0.2178498829056077,"score_spread":0.20062107293522335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2265301861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7948409,0.0041423338,0.00049177813,0.00051920244,0.0048760558,0.00041152802,0.0010132635,0.0002645836,0.1934404],"genre_scores_gemma":[0.9521956,0.03715983,0.0050802743,0.00046762972,0.0025985427,0.000105172134,0.00027150125,0.00025807912,0.0018633732],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9955629,0.00008728297,0.0016978331,0.001798089,0.00008335197,0.0007705268],"domain_scores_gemma":[0.9962336,0.00027864016,0.0017153616,0.0012718287,0.00008756285,0.00041302785],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001179404,0.00075483625,0.0014401589,0.0009849187,0.00028163558,0.0007425094,0.00090883643,0.000857701,0.0017937373],"category_scores_gemma":[0.00066835654,0.0010518262,0.00050402357,0.00018448703,0.00039176145,0.0005644705,0.0014065133,0.0013722118,0.0006853757],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036227033,0.00015654913,0.98630744,0.00012376448,0.0007010162,0.000030758572,0.0007684223,0.0005326688,0.0000043389437,0.0046600276,0.0033698704,0.003308941],"study_design_scores_gemma":[0.0024843689,0.00008476727,0.73606706,0.0003294759,0.00016578357,0.00023509735,0.0003924882,0.013730884,0.00006493265,0.018338718,0.22470708,0.0033993577],"about_ca_topic_score_codex":0.0030404243,"about_ca_topic_score_gemma":0.00047088918,"teacher_disagreement_score":0.2502404,"about_ca_system_score_codex":0.0011135412,"about_ca_system_score_gemma":0.0005248585,"threshold_uncertainty_score":0.9991932},"labels":[],"label_agreement":null},{"id":"W2265736684","doi":"10.1515/snde-2016-0063","title":"Interest rate pass-through: a nonlinear vector error-correction approach","year":2017,"lang":"en","type":"article","venue":"Studies in Nonlinear Dynamics and Econometrics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Econometrics; Economics; Interest rate; Error correction model; Endogeneity; Recession; Indirect Inference; Nonlinear system; Short rate; Inference; Estimation; Yield curve; Mathematics; Statistics; Monetary economics; Macroeconomics; Computer science; Cointegration","score_opus":0.12570506507325996,"score_gpt":0.3011683415915268,"score_spread":0.17546327651826682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2265736684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89699614,0.0025709816,0.002967006,0.0012202176,0.006914082,0.00048469796,0.00035230306,0.000082840685,0.08841172],"genre_scores_gemma":[0.9728461,0.015214581,0.0097314,0.00017667034,0.00057505886,0.000050278268,0.00009945143,0.00008696971,0.0012194838],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973102,0.000026053804,0.0010924065,0.0009267042,0.00003103687,0.0006135527],"domain_scores_gemma":[0.9978724,0.00022121026,0.00086573354,0.00085466495,0.00006696849,0.00011902284],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014750022,0.00039754823,0.0010324189,0.0007306774,0.0006158507,0.00043073008,0.0005427554,0.00024187646,0.000029877006],"category_scores_gemma":[0.0015067683,0.00046529487,0.00014635999,0.0004021917,0.00046283178,0.0007802981,0.0005775087,0.0004556528,0.00012734855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031248777,0.001319697,0.75743234,0.00089965016,0.0011097072,0.00006488874,0.0061117862,0.0020429639,0.0000036664633,0.17645471,0.0016652801,0.05258282],"study_design_scores_gemma":[0.0015818067,0.00018987336,0.033625998,0.0000669628,0.000024480465,0.000018836692,0.0021895731,0.9345261,0.0000047343956,0.010572977,0.016239008,0.00095967826],"about_ca_topic_score_codex":0.00038632305,"about_ca_topic_score_gemma":0.0014484762,"teacher_disagreement_score":0.9324831,"about_ca_system_score_codex":0.0005844029,"about_ca_system_score_gemma":0.000030171965,"threshold_uncertainty_score":0.9997799},"labels":[],"label_agreement":null},{"id":"W2266210751","doi":"","title":"A Two-Stage Panel Model of Residential Search and Location Choice Decisions","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Choice set; Mixed logit; Econometrics; Discrete choice; Set (abstract data type); Scale (ratio); Location model; Logit; Nested logit; Process (computing); Computer science; Economics; Operations research; Logistic regression; Statistics; Geography; Mathematics","score_opus":0.15236054897452056,"score_gpt":0.35856276145303506,"score_spread":0.2062022124785145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2266210751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9748393,0.000254712,0.015130501,0.0018840024,0.0001363219,0.0011152839,0.0013480308,0.000099486206,0.005192345],"genre_scores_gemma":[0.99089146,0.002109068,0.004045425,0.000037040383,0.00014536826,0.00017977173,0.00013106645,0.00010321411,0.0023575702],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9938235,0.00039852285,0.0019670168,0.001311096,0.0010256697,0.0014741607],"domain_scores_gemma":[0.99357504,0.0020084854,0.0003359805,0.0007695835,0.0026715186,0.00063941994],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0093852375,0.0003509791,0.00073276024,0.0020440395,0.0007041845,0.00017045726,0.00070824183,0.00031961143,0.00041920468],"category_scores_gemma":[0.0017239632,0.0003496061,0.00017906845,0.0018986019,0.0011573365,0.001253857,0.00003874486,0.0008781296,0.00021981237],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027933659,0.00080393907,0.5665217,0.00102474,0.0002901626,0.00005751665,0.015775632,0.022148242,0.014158785,0.35665685,0.0026154912,0.017153542],"study_design_scores_gemma":[0.009506209,0.001081543,0.8855422,0.0010622571,0.000049507627,9.903551e-7,0.0074716355,0.032029074,0.0057321563,0.04697143,0.008952452,0.0016005096],"about_ca_topic_score_codex":0.018547677,"about_ca_topic_score_gemma":0.019442162,"teacher_disagreement_score":0.3190205,"about_ca_system_score_codex":0.00025565788,"about_ca_system_score_gemma":0.0005184802,"threshold_uncertainty_score":0.9998956},"labels":[],"label_agreement":null},{"id":"W2266382683","doi":"10.2139/ssrn.2520774","title":"Homeownership and Labour Market Outcomes: Micro Versus Macro Performances","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Université Laval","funders":"","keywords":"Macro; Economics; Labour economics; Computer science","score_opus":0.015115615373572233,"score_gpt":0.2081453972897327,"score_spread":0.19302978191616046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2266382683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92802894,0.0019178282,0.00091779453,0.0010977157,0.0010127225,0.00006974976,0.000010272896,0.000032634496,0.066912346],"genre_scores_gemma":[0.98306024,0.01152292,0.00022763548,0.00020007796,0.00034313396,0.0000032299329,0.0000024279552,0.000035773337,0.0046045887],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974462,0.000031898588,0.00049266807,0.0002974679,0.000034745957,0.0016970362],"domain_scores_gemma":[0.9992088,0.00010845797,0.0003319371,0.0002077642,0.000021007354,0.00012200159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031468908,0.00020585228,0.0004130236,0.00022083403,0.0002770709,0.00020260405,0.00028386066,0.00011111439,0.000277501],"category_scores_gemma":[0.00013963196,0.0002075332,0.00012556679,0.00011029675,0.00006870923,0.00035495413,0.000053713153,0.0009072927,0.00021677953],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038282387,0.00006664249,0.3629692,0.000038240698,0.0003566003,0.0000017638394,0.00034859878,0.00001825233,0.000009582089,0.5870522,0.00076785526,0.047988225],"study_design_scores_gemma":[0.0062635294,0.00078505464,0.09972404,0.000024521087,0.00003186459,0.00021521373,0.001461032,0.002450591,0.00001898509,0.64604735,0.24188238,0.0010954296],"about_ca_topic_score_codex":0.00007137019,"about_ca_topic_score_gemma":0.00037334865,"teacher_disagreement_score":0.26324514,"about_ca_system_score_codex":0.00046988964,"about_ca_system_score_gemma":0.00015309973,"threshold_uncertainty_score":0.84629583},"labels":[],"label_agreement":null},{"id":"W2267294051","doi":"10.2139/ssrn.2371931","title":"The Dynamics of Financial Institution Location in Toronto: Who Is Serving the Inner City?","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Mennonite University; University of Manitoba","funders":"","keywords":"Institution; Financial institution; Business; Finance; Sociology; Social science","score_opus":0.007907081631324751,"score_gpt":0.19960945240069772,"score_spread":0.19170237076937297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2267294051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95995706,0.0036910912,0.007508504,0.0040649916,0.00055352977,0.00021406617,0.0000043595724,0.000008095865,0.023998277],"genre_scores_gemma":[0.98829573,0.010739653,0.000020349133,0.00013235118,0.00014944171,0.00000899655,0.00000193481,0.000011219911,0.0006403295],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99842495,0.000024365647,0.0005688284,0.00013811275,0.000032530836,0.0008112196],"domain_scores_gemma":[0.9992655,0.00004668401,0.00039290282,0.00021084415,0.000058800757,0.000025289073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021372482,0.000099599354,0.0001855734,0.00005470581,0.00029280645,0.00011296024,0.00035179476,0.000085448155,0.00008487732],"category_scores_gemma":[0.00014270615,0.000077065284,0.000071776616,0.0001636236,0.000067216555,0.000525131,0.000044742294,0.00061601994,0.00004165933],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000148013605,0.00002395105,0.038031053,0.0000052113674,0.000022369193,8.556763e-8,0.0003463524,0.00021981154,0.0000014602239,0.910075,0.00016041705,0.051099468],"study_design_scores_gemma":[0.00056995254,0.00011747707,0.07972579,0.000031332747,0.000006630454,0.000024645473,0.0016862487,0.0537466,0.000009211908,0.8593719,0.004483128,0.0002271067],"about_ca_topic_score_codex":0.006353312,"about_ca_topic_score_gemma":0.07674094,"teacher_disagreement_score":0.07038763,"about_ca_system_score_codex":0.0025009916,"about_ca_system_score_gemma":0.00046557686,"threshold_uncertainty_score":0.96043503},"labels":[],"label_agreement":null},{"id":"W2268317235","doi":"10.2139/ssrn.608561","title":"The Decision to Adopt Alternative Payment Methods: Testing for the Role of State Dependence","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Canada; Bank of Canada","funders":"","keywords":"Payment; Actuarial science; Business; Public economics; Economics; Finance","score_opus":0.020297912370925982,"score_gpt":0.26399372643479696,"score_spread":0.24369581406387097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2268317235","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.206974,0.009983126,0.7745998,0.00070270785,0.0005905209,0.00044550706,0.000021651424,0.000013222617,0.006669455],"genre_scores_gemma":[0.9817426,0.002728117,0.01481449,0.00004988436,0.00024200804,0.000023863882,6.619186e-7,0.000025864512,0.00037249195],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980609,0.000030781983,0.00062172895,0.00019055184,0.000041812604,0.0010542417],"domain_scores_gemma":[0.9978962,0.0012758907,0.00050869083,0.00020433974,0.00007625647,0.000038636983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062182494,0.000113678216,0.00020767178,0.000081519494,0.000441698,0.00012294945,0.00046935517,0.000030676252,0.0000062475315],"category_scores_gemma":[0.0005035728,0.00007970147,0.000116861534,0.0001449101,0.000035224035,0.000115562114,0.000061359264,0.00041827586,0.000016981054],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011593648,0.000030385218,0.008487353,0.0000019876436,0.00009510756,1.9801634e-7,0.00016016988,0.007260893,0.00010371193,0.27869698,0.000055166336,0.7049921],"study_design_scores_gemma":[0.0002806113,0.00018055884,0.0012855675,0.000010157402,0.000008382281,0.000018316709,0.00046758552,0.015136354,0.0004560148,0.9605193,0.021522932,0.000114233975],"about_ca_topic_score_codex":0.0005357546,"about_ca_topic_score_gemma":0.0013392126,"teacher_disagreement_score":0.7747686,"about_ca_system_score_codex":0.00053006306,"about_ca_system_score_gemma":0.0002262043,"threshold_uncertainty_score":0.33972284},"labels":[],"label_agreement":null},{"id":"W2269479062","doi":"10.2172/1135825","title":"EnergyFit Nevada (formerly known as the Nevada Retrofit Initiative) final report and technical evaluation","year":2014,"lang":"en","type":"report","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Audit; Certification; Efficient energy use; Work (physics); Quarter (Canadian coin); Business; Census; Operations management; Agricultural economics; Engineering; Geography; Management; Economics; Accounting; Archaeology; Electrical engineering","score_opus":0.10739242529176782,"score_gpt":0.2932437234828251,"score_spread":0.1858512981910573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2269479062","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024716964,0.0016619123,0.00088594225,0.0013648669,0.0023647987,0.0006577202,0.00006186813,0.000106389605,0.9681795],"genre_scores_gemma":[0.9272642,0.011767923,0.0011050723,0.0012104829,0.002996394,0.00034171744,0.00088554336,0.0002464168,0.054182228],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956895,0.00007911257,0.002136988,0.0012117694,0.0002952237,0.0005874103],"domain_scores_gemma":[0.9961285,0.00032050634,0.0017655818,0.0012253941,0.0003837621,0.00017623203],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009439575,0.000567626,0.0012376579,0.00038654907,0.00037195729,0.00037424528,0.00049227284,0.0008380021,0.0029206236],"category_scores_gemma":[0.0027573614,0.0005032139,0.00034446182,0.00025840546,0.0002443493,0.00034745547,0.00026410425,0.0008325073,0.0005044346],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031029704,0.0003875471,0.0956397,0.00070398423,0.0014609633,0.00033130203,0.00055800215,0.00041816325,0.000012381817,0.16329964,0.49752396,0.23935406],"study_design_scores_gemma":[0.000575622,0.00021149998,0.01624592,0.0000772288,0.00012909643,0.0013095089,0.000044090222,0.003029489,0.000007328486,0.027202033,0.9502766,0.00089155993],"about_ca_topic_score_codex":0.004479781,"about_ca_topic_score_gemma":0.0018457224,"teacher_disagreement_score":0.9139973,"about_ca_system_score_codex":0.0010050989,"about_ca_system_score_gemma":0.0011037166,"threshold_uncertainty_score":0.999742},"labels":[],"label_agreement":null},{"id":"W2269678441","doi":"","title":"Subprime Lending and Real Estate Markets","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Real estate; Boom; Foreclosure; Market liquidity; Economics; Credit crunch; Monetary economics; Great Depression; Financial crisis; Financial system; Commercial mortgage-backed security; Crunch; Business; Finance; Capitalization rate; Real estate investment trust; Macroeconomics","score_opus":0.01692342905982525,"score_gpt":0.19716591488219276,"score_spread":0.18024248582236752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2269678441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84879184,0.00080348033,0.0008123691,0.00026237938,0.00026507283,0.000049159567,0.0000043163454,0.000027447335,0.14898393],"genre_scores_gemma":[0.8204446,0.1775171,0.00015254918,0.000031153504,0.00019253878,0.0000014818097,0.00000211277,0.000028522421,0.0016299839],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976815,0.000019221177,0.00045160283,0.00026029593,0.000026286149,0.0015611205],"domain_scores_gemma":[0.9994237,0.000038339836,0.00026777794,0.00014608077,0.000014462013,0.000109627355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017630951,0.00014780738,0.00029572644,0.00020577172,0.0003657816,0.00006832417,0.00016398386,0.00007928881,0.00008568931],"category_scores_gemma":[0.00004587455,0.00017412266,0.00009021814,0.000096446296,0.00007186993,0.00033252308,0.000043020304,0.0007660113,0.00014453985],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018708406,0.000093276125,0.47301564,0.000016022765,0.00027805867,0.000045207496,0.0012322764,0.000024526025,0.00004787752,0.41887078,0.0005297079,0.10565955],"study_design_scores_gemma":[0.0032806075,0.00045086932,0.1539717,0.000025604242,0.00002825398,0.0059947115,0.0011230584,0.0024175602,0.000050474096,0.75542796,0.075911105,0.0013181004],"about_ca_topic_score_codex":0.0003094358,"about_ca_topic_score_gemma":0.0002797235,"teacher_disagreement_score":0.33655718,"about_ca_system_score_codex":0.00061372225,"about_ca_system_score_gemma":0.00028785394,"threshold_uncertainty_score":0.7100516},"labels":[],"label_agreement":null},{"id":"W2270007445","doi":"","title":"Racial Segregation and Discrimination: Evidence from the Rental Housing Market","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Housing discrimination; Landlord; Economic rent; Race (biology); Renting; Ethnic group; Quality (philosophy); Economics; Poverty; Racism; Demographic economics; Price discrimination; Quarter (Canadian coin); Labour economics; Rental housing; Public economics; Political science; Sociology; Geography; Law; Economic growth; Microeconomics","score_opus":0.0177046023797504,"score_gpt":0.21813375418030412,"score_spread":0.2004291518005537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2270007445","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9841828,0.0019751652,0.0041330345,0.002708588,0.00095608796,0.00008634614,0.000010329995,0.000017017743,0.005930633],"genre_scores_gemma":[0.99196976,0.0065478995,0.00029311748,0.00009612874,0.0007490364,0.0000025934723,0.0000042374795,0.000019080335,0.00031814477],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986315,0.000027635042,0.00035703686,0.00022515371,0.000036425907,0.00072226825],"domain_scores_gemma":[0.9993008,0.000153644,0.0003013755,0.00017091277,0.000021256496,0.000052054544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023363405,0.00011600398,0.00016661413,0.00006605824,0.00041643123,0.0002780166,0.00022139984,0.00008347523,0.00022994258],"category_scores_gemma":[0.00027387164,0.00010444235,0.00006946851,0.00007926614,0.000080714264,0.00058595237,0.000049718063,0.0011626126,0.00004293722],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018951339,0.00006479407,0.3294711,0.000008699513,0.00013499585,0.0000029483285,0.0029124487,0.0000132257455,0.0004027172,0.4207043,0.00080818677,0.24528706],"study_design_scores_gemma":[0.0006179464,0.000096904594,0.07004221,0.000040087405,0.000026232048,0.00011780803,0.0010950365,0.0038663966,0.00004821889,0.91699976,0.0067221527,0.00032723395],"about_ca_topic_score_codex":0.00037119674,"about_ca_topic_score_gemma":0.00781273,"teacher_disagreement_score":0.49629548,"about_ca_system_score_codex":0.00026394732,"about_ca_system_score_gemma":0.00019177391,"threshold_uncertainty_score":0.50510377},"labels":[],"label_agreement":null},{"id":"W2271162147","doi":"","title":"The Rise of the Housing-Wealth Effect: Counterfactual Impulse Response Analysis","year":2014,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wealth effect; Counterfactual thinking; Wealth elasticity of demand; Economics; National wealth; Consumption (sociology); Monetary economics; Indirect effect; Finance; Monetary policy","score_opus":0.009807765274114488,"score_gpt":0.2149080297656939,"score_spread":0.20510026449157942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2271162147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9431374,0.05100006,0.00014907529,0.0010897144,0.000318953,0.00031915988,0.00010404353,0.0000054203447,0.003876159],"genre_scores_gemma":[0.6943436,0.3052673,0.00007065604,0.00018083384,0.000030233588,0.0000095232235,0.0000015662015,0.000014605672,0.0000816297],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99811584,0.00011619146,0.0011515492,0.00034141634,0.000018572277,0.00025642413],"domain_scores_gemma":[0.9971333,0.0005740746,0.001396785,0.00082220265,0.000034674908,0.000038959173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046256166,0.00018823985,0.0010128136,0.00009612811,0.00020485796,0.000043305798,0.00044203672,0.000075486525,0.000017753026],"category_scores_gemma":[0.00045503673,0.00014026731,0.0003818987,0.0002841555,0.0002774236,0.00010503073,0.00013248072,0.00012786558,0.000016065631],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011874344,0.00022423684,0.19921951,0.0057480442,0.0014364505,7.823784e-7,0.00067611504,0.0042080823,0.000015665946,0.52961934,0.002386969,0.25527737],"study_design_scores_gemma":[0.0009784488,0.0003568033,0.07236505,0.0010200442,0.00030645196,0.0000048322386,0.000017970115,0.050949425,0.00015033982,0.010115128,0.8631628,0.0005726715],"about_ca_topic_score_codex":0.00009718753,"about_ca_topic_score_gemma":0.00008555226,"teacher_disagreement_score":0.8607759,"about_ca_system_score_codex":0.00006765022,"about_ca_system_score_gemma":0.000043842625,"threshold_uncertainty_score":0.57199347},"labels":[],"label_agreement":null},{"id":"W2271558794","doi":"10.14288/1.0096012","title":"Real estate portfolio diversification","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Portfolio; Real estate; Business; Financial economics; Economics; Finance; Marketing","score_opus":0.011887114250509367,"score_gpt":0.1603219018077032,"score_spread":0.14843478755719383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2271558794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79450786,0.000005247439,0.00013690152,0.000047004247,0.00033334686,0.00007440424,0.00015595208,0.000042153384,0.20469715],"genre_scores_gemma":[0.99660724,0.0012602606,0.0007622845,0.000011576049,0.00004013297,2.019032e-7,0.000030946958,0.000012748748,0.001274634],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9992773,0.0000060278626,0.0001757881,0.00032334082,0.000025380585,0.00019218627],"domain_scores_gemma":[0.9993119,0.000017148575,0.0002490326,0.00028328696,0.000043806293,0.0000948186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028457012,0.00003360166,0.00022881945,0.000066445435,0.0001760378,0.00009171545,0.0002691893,0.0001119563,0.00077329314],"category_scores_gemma":[0.00002227937,0.00015312116,0.00010298922,0.00014069905,0.00015710859,0.00036068773,0.000076006,0.00014043033,0.00028443063],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010164169,0.000110451445,0.35487393,0.000028838527,0.00003643485,0.000035870613,0.0003262022,0.0000066576386,0.00014668144,0.00026053548,0.0043305675,0.6398337],"study_design_scores_gemma":[0.00043909473,0.000020004238,0.9871445,0.0000064621986,0.0000070327355,0.000011368414,0.00028746473,0.0005544167,4.4723177e-7,0.0020373042,0.009322485,0.00016947494],"about_ca_topic_score_codex":0.1930033,"about_ca_topic_score_gemma":0.21617457,"teacher_disagreement_score":0.63966423,"about_ca_system_score_codex":0.00004626688,"about_ca_system_score_gemma":0.000026364187,"threshold_uncertainty_score":0.8467018},"labels":[],"label_agreement":null},{"id":"W2274206508","doi":"10.1111/jmcb.12416","title":"House Prices and Government Spending Shocks","year":2017,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg; Carleton University; Toronto Metropolitan University; Bank of Canada; Université de Sherbrooke","funders":"","keywords":"Dynamic stochastic general equilibrium; Economics; Government spending; Government (linguistics); Value (mathematics); Monetary economics; Collateralized debt obligation; House price; Demand shock; Shadow (psychology); Macroeconomics; Econometrics; Keynesian economics; Monetary policy; Finance; Welfare; Market economy","score_opus":0.03244525594465201,"score_gpt":0.22587258155854611,"score_spread":0.1934273256138941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2274206508","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97398514,0.0010803303,0.0004900548,0.0004341965,0.00082887156,0.000035103232,0.000006602229,0.000006446027,0.023133272],"genre_scores_gemma":[0.99518925,0.0028331382,0.0011423264,0.000039951166,0.00069599075,3.9012173e-7,1.3731524e-7,0.000017584664,0.00008126092],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991957,0.000004051342,0.00045139785,0.00014049256,0.000045343557,0.0001630071],"domain_scores_gemma":[0.998657,0.000045042114,0.0010444366,0.00015705285,0.00001015013,0.00008635786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008479953,0.000099074525,0.00032120716,0.00007187864,0.0003285246,0.00048762996,0.00018804359,0.000059859765,0.00006127271],"category_scores_gemma":[0.0001362655,0.000100167745,0.000060837123,0.000013883529,0.000059554517,0.00063013524,0.00011460603,0.00015126423,0.000005957059],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006667811,0.00003490948,0.9675591,0.000038794966,0.00009519375,0.00003753503,0.000642466,0.000015558155,0.00009721869,0.0083794985,0.0007968758,0.022236157],"study_design_scores_gemma":[0.0021599946,0.0002715278,0.89288604,0.00021644786,0.00005546627,0.00021670439,0.0003856949,0.0034420209,0.00029647266,0.038851313,0.06068618,0.0005321432],"about_ca_topic_score_codex":0.000025769887,"about_ca_topic_score_gemma":0.000010247514,"teacher_disagreement_score":0.07467308,"about_ca_system_score_codex":0.00006342263,"about_ca_system_score_gemma":0.000006298796,"threshold_uncertainty_score":0.47022268},"labels":[],"label_agreement":null},{"id":"W2274279512","doi":"","title":"Studies on housing price dynamics","year":2014,"lang":"en","type":"dissertation","venue":"UTUPub (University of Turku)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Jenny ja Antti Wihurin Rahasto; Real Estate Foundation of British Columbia; Liikesivistysrahasto; Suomen Pörssisäätiö; Yrjö Jahnssonin Säätiö; Foundation for Economic Education","keywords":"Dynamics (music); Economics; Psychology","score_opus":0.024526812123338838,"score_gpt":0.20430549341499352,"score_spread":0.17977868129165467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2274279512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6336377,0.00040715173,0.00026387523,0.00018199804,0.0022301134,0.00015764378,0.00010358387,0.00005927995,0.36295867],"genre_scores_gemma":[0.97129023,0.0017190665,0.00094563066,0.00007547003,0.00015912861,4.2606447e-7,0.00049077906,0.000065566215,0.025253693],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988259,0.000016698717,0.00036276542,0.0004888141,0.000044175278,0.00026164346],"domain_scores_gemma":[0.99837375,0.000088787725,0.0009943773,0.0003990496,0.00007279754,0.00007126012],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040398497,0.00025742358,0.00082646316,0.000503993,0.00023322851,0.000033141656,0.00039879212,0.00033069545,0.00019675064],"category_scores_gemma":[0.000097138705,0.0003825002,0.0002600619,0.00016891111,0.00007540575,0.00017288534,0.00006269044,0.00027939968,0.00042993322],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017169062,0.0007834167,0.01776957,0.0047966205,0.0033333462,0.000093842915,0.036775492,0.004776933,0.000028429127,0.8227024,0.03643081,0.07079223],"study_design_scores_gemma":[0.009054091,0.0018284075,0.045466512,0.0033827059,0.00094673515,0.000013292409,0.12704317,0.14396183,0.0003153703,0.14451271,0.51353276,0.00994238],"about_ca_topic_score_codex":0.00024797808,"about_ca_topic_score_gemma":0.00227307,"teacher_disagreement_score":0.6781897,"about_ca_system_score_codex":0.00045388547,"about_ca_system_score_gemma":0.000036032317,"threshold_uncertainty_score":0.9998627},"labels":[],"label_agreement":null},{"id":"W2274719183","doi":"10.34989/swp-2015-40","title":"Credit Conditions and Consumption, House Prices and Debt: What Makes Canada Different?","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Collateral; Consumption (sociology); Debt; Economics; Monetary economics; House price; Monetary policy; Household debt; Business; Finance","score_opus":0.021064748660815168,"score_gpt":0.20814308948599528,"score_spread":0.1870783408251801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2274719183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96332145,0.019948663,0.00008210152,0.00082375016,0.0066407076,0.0005121845,0.0010979318,0.0001574262,0.0074157794],"genre_scores_gemma":[0.9675718,0.029653406,0.00045309775,0.0006319299,0.00048745607,0.00012738619,0.00029077567,0.00014091158,0.00064324],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996202,0.0000595862,0.0014112507,0.0015509683,0.00007463663,0.0007015581],"domain_scores_gemma":[0.9970181,0.00042612027,0.0010879394,0.00089649,0.00008515148,0.00048620178],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00045559468,0.00075490243,0.0015825499,0.00043040418,0.00048040447,0.001521676,0.00039555467,0.00060381746,0.0020103587],"category_scores_gemma":[0.00018026498,0.00097612134,0.00021488963,0.000086334345,0.00061349565,0.0008446065,0.0006750261,0.000824298,0.000093675],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015690308,0.00008219744,0.98565,0.0004211935,0.00037983048,0.000043040898,0.0005074469,0.00003541,0.000005358348,0.005768729,0.00648702,0.00060407125],"study_design_scores_gemma":[0.0017474621,0.000060002796,0.9477616,0.00068905303,0.00018731637,0.00025690257,0.0014858859,0.0016979665,0.00005942203,0.008382275,0.035065524,0.0026066185],"about_ca_topic_score_codex":0.033858843,"about_ca_topic_score_gemma":0.30170318,"teacher_disagreement_score":0.26784435,"about_ca_system_score_codex":0.00072681677,"about_ca_system_score_gemma":0.0006683893,"threshold_uncertainty_score":0.9995148},"labels":[],"label_agreement":null},{"id":"W2275146162","doi":"10.2139/ssrn.2664817","title":"Housing Price and Fundamentals in a Transition Economy: The Case of Beijing Market","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Toronto","funders":"","keywords":"Beijing; Economics; Market economy; Transition (genetics); Economy; Economic system; China; Political science","score_opus":0.01980061061535424,"score_gpt":0.21385535752376858,"score_spread":0.19405474690841434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2275146162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9688844,0.0025955525,0.0024792897,0.0007932248,0.00011812713,0.00010747411,0.000005227342,0.0000064405967,0.025010282],"genre_scores_gemma":[0.99762845,0.0019965258,0.00009212247,0.00009508835,0.00008818583,0.000002820095,8.5345965e-7,0.000017318665,0.00007862357],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984972,0.00004018828,0.00051416346,0.00016754764,0.00001100718,0.00076991133],"domain_scores_gemma":[0.9994381,0.000052840725,0.0003110546,0.000116701856,0.00001741637,0.000063879146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043256907,0.0001042195,0.0002603946,0.00018968032,0.00010577021,0.000084752544,0.00010615426,0.00005782609,0.00002970764],"category_scores_gemma":[0.000044369717,0.00010287614,0.00005932183,0.000120985955,0.000055650376,0.00033572444,0.00002446563,0.0005275074,0.000006847356],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005692403,0.00031817085,0.10314092,0.00009093538,0.00037449892,0.00019602518,0.011466903,0.0015991343,0.000029387085,0.79870975,0.0003869195,0.083118126],"study_design_scores_gemma":[0.002293734,0.00026003015,0.0009001296,0.00003701935,0.000019453333,0.0041685,0.012466712,0.0147066675,0.000015838436,0.961392,0.0033936324,0.00034628948],"about_ca_topic_score_codex":0.00043877139,"about_ca_topic_score_gemma":0.0022484995,"teacher_disagreement_score":0.16268225,"about_ca_system_score_codex":0.00079712266,"about_ca_system_score_gemma":0.00028559903,"threshold_uncertainty_score":0.4195167},"labels":[],"label_agreement":null},{"id":"W2276188323","doi":"","title":"The Federal Reserve Bank of St. Louis' Housing Market Conditions Report","year":2014,"lang":"en","type":"article","venue":"Bridges Conversations in Global Politics and Public Policy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Financial system; Open market operation; Quantitative easing; Federal Reserve Economic Data; Finance; Economics; Monetary reform; Monetary policy; Central bank; Monetary economics","score_opus":0.02389092542244711,"score_gpt":0.25561155480637826,"score_spread":0.23172062938393115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2276188323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59091556,0.00019521722,0.0009016619,0.014648277,0.00050123734,0.00021022445,0.0009193345,0.000039651986,0.39166886],"genre_scores_gemma":[0.9981843,0.000324043,0.00015956647,0.0004814537,0.00023178487,0.000011523097,0.00006751214,0.000015047923,0.0005247319],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9982565,0.00005854095,0.0008065092,0.00029898869,0.00004895884,0.00053051073],"domain_scores_gemma":[0.9986715,0.00024361577,0.0003908623,0.00044810248,0.00008202582,0.00016392313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001078633,0.0001517126,0.00031564658,0.0002920038,0.0003908296,0.00035451824,0.00024266016,0.000110634326,0.000060954946],"category_scores_gemma":[0.001584951,0.0001650152,0.000090645626,0.00041087015,0.0003801098,0.00025192773,0.00012777612,0.000118632204,0.000014470885],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003185521,0.000028846805,0.2402759,0.000013070632,0.000022366645,0.0000015013283,0.000043919877,0.000018927132,1.6108702e-7,0.7549263,0.0039371946,0.00072859623],"study_design_scores_gemma":[0.00078351644,0.00004071723,0.36135402,0.000020101448,0.000007465512,0.000052526284,0.0002952503,0.017234098,0.000002809648,0.3517901,0.26810646,0.00031293006],"about_ca_topic_score_codex":0.013936182,"about_ca_topic_score_gemma":0.0014423545,"teacher_disagreement_score":0.4072688,"about_ca_system_score_codex":0.0003320834,"about_ca_system_score_gemma":0.00022340895,"threshold_uncertainty_score":0.9926301},"labels":[],"label_agreement":null},{"id":"W2278952097","doi":"10.1080/13504851.2015.1111981","title":"Forecasting Canadian mortgage rates","year":2015,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Autoregressive integrated moving average; Exponential smoothing; Econometrics; Economics; Forecast error; Ordinary least squares; Floating interest rate; Interest rate; Statistics; Finance; Mathematics; Time series","score_opus":0.060456892127975864,"score_gpt":0.1920057793939457,"score_spread":0.13154888726596983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2278952097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6430784,0.000044522905,0.00033507988,0.0018765554,0.00070695544,0.00017570364,0.000048316208,0.00005193564,0.35368258],"genre_scores_gemma":[0.99159294,0.000049177008,0.001982985,0.005642598,0.00038003796,0.000040143976,0.00006238822,0.00008200099,0.00016770168],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99796844,0.0000067232136,0.00070274353,0.0005779839,0.000014244958,0.00072986627],"domain_scores_gemma":[0.9986301,0.000046596182,0.0003046056,0.00045072567,0.000012206124,0.0005557832],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008910519,0.00026396124,0.00047295692,0.0003845492,0.00016910427,0.00023748798,0.00037672956,0.000134477,0.00020862311],"category_scores_gemma":[0.0000471762,0.0003753328,0.00011092224,0.00012175186,0.000081898164,0.00028660565,0.0000706089,0.00020493388,0.0023753599],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000126066,0.0000989129,0.19536829,0.000058601257,0.00039345,0.000041476964,0.0038090087,0.045939762,0.000085361906,0.65687835,0.08252514,0.014675562],"study_design_scores_gemma":[0.0041268836,0.00007617802,0.007277451,0.000018724626,0.000032375465,0.00006251244,0.0010039337,0.073827915,0.00044354273,0.14449793,0.76532716,0.0033053684],"about_ca_topic_score_codex":0.01731807,"about_ca_topic_score_gemma":0.015712539,"teacher_disagreement_score":0.682802,"about_ca_system_score_codex":0.000775971,"about_ca_system_score_gemma":0.000109265835,"threshold_uncertainty_score":0.9998699},"labels":[],"label_agreement":null},{"id":"W2279079661","doi":"","title":"Does Property Transaction Matter in Price Discovery in Real Estate Markets? Evidence from International Firm Level Data","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Price discovery; Real estate; Real estate investment trust; Leverage (statistics); Database transaction; Transaction cost; Financial economics; Economics; Transaction data; Error correction model; Econometrics; Business; Monetary economics; Cointegration; Finance; Statistics","score_opus":0.10676025641455862,"score_gpt":0.3127245645472064,"score_spread":0.20596430813264777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2279079661","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8554177,0.000054396536,0.00014166097,0.002242436,0.002367822,0.0009658045,0.0016937263,0.000030256318,0.13708618],"genre_scores_gemma":[0.89805084,0.09501339,0.0012858215,0.00010499395,0.00042638325,0.00023097145,0.0007147518,0.00012634837,0.004046499],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9941807,0.00026892425,0.002049638,0.0024114063,0.000117934556,0.00097140303],"domain_scores_gemma":[0.99601555,0.0009386379,0.0006240503,0.0022297692,0.00004278059,0.00014921383],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006221319,0.00048648205,0.0011102632,0.0012902018,0.000082547456,0.0007005985,0.0025003527,0.00062411017,0.0006591921],"category_scores_gemma":[0.00069372315,0.00040752563,0.0001590833,0.00018225412,0.00023099637,0.0016503368,0.001737204,0.0020791895,0.00015350385],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00090638094,0.00036464757,0.7696266,0.0003137331,0.00013021086,0.000046785306,0.0012687873,0.014236569,0.000015424037,0.000039913342,0.00029894186,0.212752],"study_design_scores_gemma":[0.0016590253,0.000042075193,0.6186282,0.0011988619,0.0000075060225,0.000004373816,0.00040820928,0.31793782,0.000017934966,0.0045263544,0.054257996,0.0013116127],"about_ca_topic_score_codex":0.01511307,"about_ca_topic_score_gemma":0.027953936,"teacher_disagreement_score":0.30370125,"about_ca_system_score_codex":0.002699295,"about_ca_system_score_gemma":0.00035709614,"threshold_uncertainty_score":0.99983764},"labels":[],"label_agreement":null},{"id":"W2281710772","doi":"10.15396/eres2006_270","title":"A SPATIOTEMPORAL AUTOREGRESSIVE PRICE INDEX FOR THE PARIS OFFICE PROPERTY MARKET","year":2006,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Database transaction; Index (typography); Quarter (Canadian coin); Population; Economics; Econometrics; Computer science; Geography; Database","score_opus":0.020894064495715667,"score_gpt":0.20169586026989714,"score_spread":0.18080179577418148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2281710772","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015731543,0.00049746124,0.052191585,0.0034271015,0.0007936244,0.00094223884,0.00010272943,0.00012513626,0.9261886],"genre_scores_gemma":[0.9442345,0.000113172995,0.001867293,0.00039686903,0.00041558026,0.00011934886,0.000021097825,0.000041058138,0.052791096],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987476,0.000010463875,0.0005248927,0.00035731212,0.000023360202,0.00033639776],"domain_scores_gemma":[0.9990233,0.00019955495,0.0003376862,0.0003576135,0.00003855379,0.00004326073],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00070933776,0.00016252017,0.00028348723,0.00008630745,0.00023549,0.00017229181,0.00026772093,0.000113740156,0.0011226399],"category_scores_gemma":[0.00008440742,0.00010869664,0.000136404,0.000103102415,0.00006826625,0.00020735685,0.000057561858,0.000107025524,0.00019749392],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036450382,0.00025703682,0.23817678,0.000083684456,0.00013713451,0.0000027239957,0.00022918615,0.0008477457,0.0000035003477,0.09430897,0.6515479,0.014040804],"study_design_scores_gemma":[0.0006100779,0.000035068242,0.068139724,0.0000060892394,0.0000068950335,0.0000022686183,0.000038477996,0.11625105,0.000018672059,0.009269203,0.8053447,0.00027777025],"about_ca_topic_score_codex":0.0028868164,"about_ca_topic_score_gemma":0.0004490974,"teacher_disagreement_score":0.9285029,"about_ca_system_score_codex":0.000105507184,"about_ca_system_score_gemma":0.000040446852,"threshold_uncertainty_score":0.9997905},"labels":[],"label_agreement":null},{"id":"W2282369960","doi":"10.26509/frbc-ec-201509","title":"Why Has Consumption Been So Volatile in the New Millennium?","year":2015,"lang":"en","type":"article","venue":"Economic Commentary (Federal Reserve Bank of Cleveland)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Explanatory power; Consumption (sociology); Economics; Gas consumption; Econometrics; Physics; Social science; Sociology; Environmental economics","score_opus":0.09306168559601834,"score_gpt":0.26189950416177554,"score_spread":0.1688378185657572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2282369960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93238294,0.0015160254,0.00031000195,0.04098209,0.0008600581,0.0004702095,0.00020541868,0.000028723345,0.023244519],"genre_scores_gemma":[0.99152523,0.0005847802,0.00063996494,0.006311293,0.00039485455,0.000023182803,0.00016219955,0.00004202998,0.00031643393],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977819,0.00008223028,0.0011889249,0.0004511785,0.00005022694,0.0004455394],"domain_scores_gemma":[0.99849576,0.00023638413,0.00048027854,0.0005893487,0.000016453021,0.00018177788],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001573456,0.00026084154,0.00064280746,0.0002508572,0.0001757289,0.00027681206,0.0006934004,0.00014006787,0.0011287468],"category_scores_gemma":[0.00007112211,0.00027013972,0.0001808662,0.00008246217,0.00014942729,0.0005542634,0.00018314052,0.00027300266,0.00042828187],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021920812,0.00009404345,0.4032038,0.000021775077,0.00006415829,0.000004009112,0.0013780418,0.00035515052,0.0000015877561,0.0037269976,0.58922046,0.0017107893],"study_design_scores_gemma":[0.0044949315,0.00024980144,0.08418162,0.000043239233,0.00001209341,0.000012206145,0.0004410512,0.0076276236,0.000051101983,0.04179294,0.8605539,0.0005394911],"about_ca_topic_score_codex":0.019765925,"about_ca_topic_score_gemma":0.011988629,"teacher_disagreement_score":0.31902215,"about_ca_system_score_codex":0.00042553613,"about_ca_system_score_gemma":0.00013073647,"threshold_uncertainty_score":0.9999751},"labels":[],"label_agreement":null},{"id":"W2283394355","doi":"10.2139/ssrn.2022572","title":"Arbitrage in Unfamiliar Places: The International Residential Real Estate Market","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Arbitrage; Real estate; Business; Financial economics; Finance; Economics","score_opus":0.012388669335209428,"score_gpt":0.21132096109476906,"score_spread":0.19893229175955962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2283394355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6441833,0.00052944483,0.0005086871,0.0013194745,0.0014635077,0.00008789815,0.000010295137,0.000016649616,0.3518808],"genre_scores_gemma":[0.9519808,0.04452953,0.000071670554,0.00012414875,0.00078323553,0.000005875765,0.000004610968,0.000028607941,0.002471513],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99736327,0.00004366853,0.0005971091,0.00019002981,0.000053735766,0.0017521767],"domain_scores_gemma":[0.9993181,0.00007928811,0.0003179512,0.00019210158,0.000014869698,0.000077648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005637141,0.00014340028,0.0002220008,0.0002282803,0.00015088031,0.00014363106,0.0005083024,0.00008315434,0.00040252297],"category_scores_gemma":[0.00009833208,0.00013493124,0.0001212302,0.00013300299,0.000049444126,0.0005489844,0.00006778057,0.001376105,0.00021170608],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037127172,0.0002172815,0.45136225,0.000008144876,0.0002494221,0.000009101504,0.0020285884,0.00021993538,0.000021460775,0.51249474,0.0036367837,0.029381048],"study_design_scores_gemma":[0.0027748516,0.00014240095,0.1173984,0.00002943121,0.000024195238,0.0004952922,0.003740258,0.0052230107,0.000027681399,0.71579546,0.1535387,0.00081027823],"about_ca_topic_score_codex":0.0010755644,"about_ca_topic_score_gemma":0.004864641,"teacher_disagreement_score":0.34940928,"about_ca_system_score_codex":0.0012045095,"about_ca_system_score_gemma":0.00031407113,"threshold_uncertainty_score":0.5978568},"labels":[],"label_agreement":null},{"id":"W2283739521","doi":"10.14288/1.0096372","title":"A method by which to forecast house prices at the community level : a case study","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Econometrics; Economics","score_opus":0.03610127862047177,"score_gpt":0.20900433555087086,"score_spread":0.1729030569303991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2283739521","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99088204,0.00002647365,0.0010643081,0.00020550417,0.00020245534,0.00045391478,0.00065206754,0.00005549284,0.0064577255],"genre_scores_gemma":[0.9970753,0.000023621405,0.0018550428,0.00008412809,0.00002364287,0.0000022137526,0.0000075324297,0.000029431483,0.0008990817],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9990116,0.00007555683,0.0002422995,0.00035402153,0.00003994528,0.00027659856],"domain_scores_gemma":[0.9987065,0.00017212139,0.0002515117,0.00064333837,0.00008017542,0.00014635899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015839621,0.00006393231,0.00037291943,0.00006390127,0.0009857476,0.00020234306,0.0005772577,0.000110135705,0.00029794796],"category_scores_gemma":[0.000092083945,0.00019208292,0.000101503836,0.00033879688,0.000115658746,0.00026755774,0.0004721467,0.00040083507,0.00013442026],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000478874,0.0013727905,0.37532207,0.000059404625,0.00023566783,0.0003831557,0.013420347,0.000041272626,0.00010985722,0.000023010662,0.03036498,0.57861954],"study_design_scores_gemma":[0.0012985698,0.00021512093,0.97086847,0.000013567026,0.000032747466,0.00055473176,0.016360072,0.00064320554,0.0000011123911,0.0004756336,0.009149118,0.00038764748],"about_ca_topic_score_codex":0.5704405,"about_ca_topic_score_gemma":0.9664745,"teacher_disagreement_score":0.5955464,"about_ca_system_score_codex":0.00010223485,"about_ca_system_score_gemma":0.000028919572,"threshold_uncertainty_score":0.7832914},"labels":[],"label_agreement":null},{"id":"W2285004782","doi":"10.2139/ssrn.2708105","title":"Can the Common-Factor Hypothesis Explain the Observed Housing Wealth Effect?","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"Generalitat de Catalunya; University of Washington","keywords":"Economics; Demographic economics","score_opus":0.052486459059048356,"score_gpt":0.2204235655525891,"score_spread":0.16793710649354074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2285004782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9772899,0.0031743818,0.0005053916,0.008738108,0.00087146874,0.0002447633,0.000016279808,0.00003972955,0.009119935],"genre_scores_gemma":[0.9953833,0.0029450853,0.000037550748,0.0005177395,0.00058043795,0.000011002982,0.0000020802058,0.000055105025,0.000467676],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99700874,0.00017504075,0.0006013258,0.00025419708,0.000066495464,0.0018941785],"domain_scores_gemma":[0.99847245,0.00036736525,0.00052899594,0.00045059927,0.000028905863,0.00015169286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006329766,0.00022852344,0.00042410163,0.000105066705,0.00064491655,0.00030307812,0.00072782586,0.00010035448,0.000042938194],"category_scores_gemma":[0.00030996776,0.00015493525,0.0002072461,0.00019806928,0.00009424232,0.00019798329,0.00007489356,0.001525039,0.0001871434],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046996397,0.0001976524,0.360265,0.000033894557,0.0009802014,0.000013379731,0.0055778055,0.0011074431,0.000024096471,0.43447992,0.003948611,0.19290204],"study_design_scores_gemma":[0.0023656748,0.00070096715,0.015062901,0.000029539564,0.000052116844,0.00031163517,0.003414753,0.0029288381,0.000069338035,0.9297722,0.044537324,0.0007547166],"about_ca_topic_score_codex":0.00086865213,"about_ca_topic_score_gemma":0.005935905,"teacher_disagreement_score":0.49529228,"about_ca_system_score_codex":0.0017201802,"about_ca_system_score_gemma":0.0007102939,"threshold_uncertainty_score":0.662562},"labels":[],"label_agreement":null},{"id":"W2285007757","doi":"","title":"Transfers of residential rental property in the nordic countries: the specific danish example","year":2015,"lang":"en","type":"article","venue":"Research at the University of Copenhagen (University of Copenhagen)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"Danish; Renting; Property (philosophy); Business; Political science; Law; Philosophy","score_opus":0.12146455350236302,"score_gpt":0.24003743149486848,"score_spread":0.11857287799250546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2285007757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.617425,0.0018275882,0.00050265604,0.0018577499,0.0001033645,0.0008260712,0.00018502233,0.000009940042,0.3772626],"genre_scores_gemma":[0.92174983,0.0011930219,0.00008775568,0.00002147777,0.000025309802,2.187884e-7,0.000024375995,0.0000148255995,0.07688319],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998003,0.00049628783,0.0003550722,0.0003941105,0.00030400476,0.00044750748],"domain_scores_gemma":[0.9981358,0.00042624483,0.00029763783,0.00082026277,0.00020495019,0.00011511082],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0054692565,0.00015692035,0.000491517,0.00022334275,0.0007105957,0.00005043217,0.0021855677,0.00012004964,0.056556594],"category_scores_gemma":[0.000072377305,0.00012658327,0.00020855546,0.000745643,0.001428833,0.00048925815,0.00047489244,0.00037616282,0.010482992],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013294475,0.0001590662,0.00030981674,0.00007501624,0.000117484575,0.000049687224,0.025390333,0.00019979682,0.00017595009,0.0031967438,0.96820223,0.0007944323],"study_design_scores_gemma":[0.0017257232,0.00028041584,0.0076980493,0.000038059432,0.000023949333,0.000006190394,0.040205717,0.0003703817,0.00020004623,0.00018178523,0.94909084,0.00017883048],"about_ca_topic_score_codex":0.013390814,"about_ca_topic_score_gemma":0.0078642825,"teacher_disagreement_score":0.3043248,"about_ca_system_score_codex":0.00037099374,"about_ca_system_score_gemma":0.0002709496,"threshold_uncertainty_score":0.9931791},"labels":[],"label_agreement":null},{"id":"W2288595762","doi":"","title":"Assessing bond risks in municipal bankruptcy: Detroit and beyond, 33 CAYMAN FIN. REV. 80-81 ( 4th Quarter 2013)","year":2013,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bankruptcy; Quarter (Canadian coin); Bond; Actuarial science; Business; Finance; History","score_opus":0.045682931736686826,"score_gpt":0.25379791110222366,"score_spread":0.20811497936553683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2288595762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78356814,0.0004863162,0.00020031542,0.0011403977,0.000338078,0.0002163517,0.000017421282,0.000042948788,0.21399002],"genre_scores_gemma":[0.99478173,0.0006187429,0.0026792393,0.0005966669,0.00014468859,0.000035222292,0.000017717799,0.000047428144,0.0010785861],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978876,0.000024931416,0.00086528965,0.00059662655,0.000030745465,0.0005947745],"domain_scores_gemma":[0.99891675,0.00011513816,0.00028167604,0.00049772195,0.00002239115,0.00016633126],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007859417,0.00026572112,0.0005923937,0.00039198174,0.00014606328,0.00062389555,0.00024770122,0.00021734748,0.0017778673],"category_scores_gemma":[0.000062658015,0.00030731762,0.00009745256,0.000188845,0.00008947315,0.0013182263,0.000126071,0.00031058476,0.001381559],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024499852,0.0002334709,0.8960164,0.0000907522,0.00008141719,0.000015202181,0.0024997988,0.0001501521,0.000042928103,0.028152864,0.044259302,0.02843321],"study_design_scores_gemma":[0.0031625184,0.00020456444,0.7303262,0.00007437718,0.000024644976,0.00002745749,0.003301124,0.08441309,0.000057298323,0.080365516,0.09609361,0.0019496374],"about_ca_topic_score_codex":0.013782689,"about_ca_topic_score_gemma":0.0035578017,"teacher_disagreement_score":0.21291143,"about_ca_system_score_codex":0.00015281122,"about_ca_system_score_gemma":0.000022900025,"threshold_uncertainty_score":0.9999379},"labels":[],"label_agreement":null},{"id":"W2290097004","doi":"10.2139/ssrn.1241502","title":"A Hedonic Analysis of the Effects of Transport Accessibility on Flat Prices in Hong Kong","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Public transport; Disadvantage; Hedonic pricing; Order (exchange); Transport engineering; Hedonic regression; Geography; Business; Regression analysis; Kilometer; Central business district; Agricultural economics; Demographic economics; Econometrics; Economics; Statistics; Mathematics; Finance; Computer science; Engineering","score_opus":0.011112272907559735,"score_gpt":0.20711005048672584,"score_spread":0.19599777757916612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2290097004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99483895,0.0012479472,0.00043750217,0.00006834461,0.00017547766,0.00011409715,0.000005361166,0.0000046520427,0.003107658],"genre_scores_gemma":[0.9939417,0.005876153,0.000020719768,0.000020546377,0.000030463776,0.0000022686584,0.0000013721741,0.000012348504,0.00009441949],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998126,0.000027302585,0.0007933201,0.0002292064,0.000050139104,0.0007740618],"domain_scores_gemma":[0.9988488,0.000111458656,0.00068387995,0.00030137316,0.000020272175,0.000034199096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016221049,0.00012437922,0.00058959075,0.00048451242,0.00009136244,0.000008565508,0.00038844266,0.000083111474,0.000027639704],"category_scores_gemma":[0.00009964797,0.0001082253,0.00040656317,0.00094362156,0.000081034625,0.0001746585,0.00002117431,0.0006889373,0.0000036374488],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058819838,0.00010909757,0.975163,0.000030580937,0.0004618898,0.0000015957714,0.0003987732,0.0008234239,0.000050131628,0.021782147,0.0000017979119,0.0011187623],"study_design_scores_gemma":[0.0006436421,0.00014172585,0.96338654,0.000028781327,0.00008642373,0.000008775857,0.00007194077,0.0011053152,0.00038115884,0.033970665,0.000038549642,0.00013649624],"about_ca_topic_score_codex":0.00027074348,"about_ca_topic_score_gemma":0.0026335176,"teacher_disagreement_score":0.012188519,"about_ca_system_score_codex":0.0005505045,"about_ca_system_score_gemma":0.00034989562,"threshold_uncertainty_score":0.44133},"labels":[],"label_agreement":null},{"id":"W2291730400","doi":"10.1515/revecp-2015-0028","title":"Residential Real Estate in Europe: An Exploration of Common Risk Factors","year":2015,"lang":"en","type":"article","venue":"Review of Economic Perspectives","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bishop's University","funders":"","keywords":"Real estate; Renting; Proxy (statistics); Economics; Econometrics; Portfolio; Capital asset pricing model; Market liquidity; Financial economics; Explanatory power; Diversification (marketing strategy); Capitalization rate; Real estate investment trust; Business; Finance; Marketing","score_opus":0.09571902757410418,"score_gpt":0.3046373249332094,"score_spread":0.20891829735910522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2291730400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8947278,0.0056946403,0.00005151587,0.0000992196,0.00022756319,0.00024172249,0.000117225376,0.000015754022,0.09882452],"genre_scores_gemma":[0.70900285,0.29066977,0.00019379631,0.0000068507,0.00005179878,0.0000059772256,0.000023871478,0.00002078137,0.000024303748],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99819046,0.00010190277,0.0011392277,0.00036869737,0.000021305555,0.00017840319],"domain_scores_gemma":[0.9983298,0.000054907527,0.0010813343,0.0003832984,0.00005818384,0.00009243051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015066274,0.00015906844,0.0008468592,0.0002496516,0.000025468056,0.000022322753,0.00025008814,0.0000568552,0.00011953383],"category_scores_gemma":[0.000271844,0.00018652728,0.000112981426,0.0001569484,0.00010071542,0.0012384874,0.00005452138,0.000115365125,0.00007926657],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032434968,0.0011183883,0.6920017,0.0026102744,0.0002882421,0.000007167911,0.04615918,0.004641188,0.000032509794,0.22973743,0.0016204525,0.02145911],"study_design_scores_gemma":[0.011358229,0.0035872972,0.60984826,0.0066371616,0.000343722,0.00001887058,0.06621461,0.02700829,0.0014944794,0.20954372,0.05854808,0.005397248],"about_ca_topic_score_codex":0.0054425453,"about_ca_topic_score_gemma":0.0010919875,"teacher_disagreement_score":0.2849751,"about_ca_system_score_codex":0.00029430608,"about_ca_system_score_gemma":0.00009346838,"threshold_uncertainty_score":0.82275367},"labels":[],"label_agreement":null},{"id":"W2292018087","doi":"","title":"The Price of Subprime Mortgages at Mortgage Brokers and Lender","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Loan; Quarter (Canadian coin); Business; Mortgage underwriting; Interest rate; Foreclosure; Loan-to-value ratio; Monetary economics; Actuarial science; Financial system; Economics; Finance; Mortgage insurance","score_opus":0.008447634594762358,"score_gpt":0.1921162806811922,"score_spread":0.18366864608642983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2292018087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9655528,0.0027872017,0.00038842298,0.0006628785,0.00046547133,0.00007332068,0.0000055404194,0.000011954172,0.030052394],"genre_scores_gemma":[0.9807532,0.01598842,0.00008156037,0.000038586826,0.00015423437,0.0000021524975,0.0000010714427,0.000025500682,0.0029552954],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99811435,0.000015835665,0.0004863504,0.0001994302,0.000033089953,0.001150955],"domain_scores_gemma":[0.9989846,0.00010162968,0.00056812394,0.00024453396,0.00002464138,0.0000764848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002807826,0.00012683474,0.00024584142,0.00009752481,0.00040119592,0.00007963205,0.00026866808,0.00009269044,0.00007894766],"category_scores_gemma":[0.00014645829,0.00011199281,0.00010284914,0.000080513855,0.00014435653,0.00017251557,0.000075344,0.0012110262,0.000047430432],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073076175,0.0000446259,0.31075695,0.0000107790875,0.00023388265,0.0000015725509,0.00030522782,0.000016875401,0.0006308088,0.67660284,0.00033209505,0.010991233],"study_design_scores_gemma":[0.0014681014,0.00024542023,0.12071391,0.000008937714,0.000031310057,0.0005654921,0.00090069143,0.0010177367,0.00042515874,0.7934273,0.08061431,0.00058165414],"about_ca_topic_score_codex":0.000081836144,"about_ca_topic_score_gemma":0.0015691154,"teacher_disagreement_score":0.19004305,"about_ca_system_score_codex":0.00024923307,"about_ca_system_score_gemma":0.00021553425,"threshold_uncertainty_score":0.52613735},"labels":[],"label_agreement":null},{"id":"W2292469926","doi":"10.1016/j.jhealeco.2016.12.005","title":"Is the Rational Addiction model inherently impossible to estimate?","year":2016,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; University of Toronto","funders":"","keywords":"Monte Carlo method; Econometrics; Saddle point; Estimation; Saddle; Addiction; Economics; Point (geometry); Mathematics; Mathematical optimization; Statistics; Psychology","score_opus":0.06321746363489496,"score_gpt":0.29462711773352757,"score_spread":0.23140965409863262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2292469926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80840164,0.0013752782,0.071726345,0.10292926,0.002626924,0.00043918806,0.00023867331,0.000026834721,0.012235858],"genre_scores_gemma":[0.9806781,0.003922992,0.0075037857,0.00632848,0.000588939,0.000013202021,0.0000032116586,0.000052809097,0.0009084899],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978121,0.000021077421,0.0015967712,0.00021388874,0.000025694282,0.0003304873],"domain_scores_gemma":[0.99793845,0.000103558414,0.0014418262,0.00026271743,0.00005833152,0.00019513324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002020765,0.00014202781,0.0004675233,0.00024490902,0.00021532476,0.00010164459,0.00031339182,0.00007652982,0.00028548372],"category_scores_gemma":[0.00009281189,0.00010603884,0.0001762178,0.00007907092,0.00003799781,0.0005082978,0.00004983183,0.00014063418,0.00036535686],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060147175,0.0003993474,0.09094439,0.0000935115,0.00048670688,0.0000029897176,0.0036228944,0.08049676,0.000058813333,0.28389606,0.24451882,0.29487824],"study_design_scores_gemma":[0.00295651,0.0006852807,0.02478037,0.00016031366,0.000019489244,0.000114288465,0.0001050913,0.11046599,0.0001539479,0.2280225,0.6318328,0.0007034155],"about_ca_topic_score_codex":0.000029965628,"about_ca_topic_score_gemma":0.000051566916,"teacher_disagreement_score":0.38731396,"about_ca_system_score_codex":0.0006271027,"about_ca_system_score_gemma":0.00034175513,"threshold_uncertainty_score":0.4696045},"labels":[],"label_agreement":null},{"id":"W2293869763","doi":"10.14288/1.0105584","title":"Commercial rehabilitation within the central business district : policies for future use","year":2011,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business","score_opus":0.022196957721930165,"score_gpt":0.1625328651922929,"score_spread":0.14033590747036273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2293869763","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945149,0.000049096285,0.0012227065,0.00036670806,0.00056358724,0.0002609082,0.0005592375,0.000027697615,0.0024351696],"genre_scores_gemma":[0.9982131,0.00012019556,0.001281259,0.000056953715,0.00010357369,0.0000010842992,0.000029861445,0.000013477326,0.00018045759],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99931407,0.000015766973,0.00020592229,0.00023412883,0.000021380318,0.00020874628],"domain_scores_gemma":[0.9992936,0.0000775469,0.00026376528,0.00022823476,0.00008251725,0.000054332784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002644878,0.00004091581,0.00023597032,0.00004161457,0.0002979971,0.000112629656,0.00026192993,0.00009105023,0.00006530988],"category_scores_gemma":[0.00009818296,0.00012092483,0.00012544943,0.00020256815,0.00021142558,0.0004393449,0.00005664736,0.0000700941,0.000012354612],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000727518,0.0001950183,0.86760926,0.00011066992,0.000061776904,0.0000041910116,0.0056737084,0.000015640357,0.000002193092,0.0020480654,0.007591762,0.116614945],"study_design_scores_gemma":[0.00050250674,0.000046723737,0.9898624,0.000017842185,0.000012743582,0.0000037640837,0.0019981398,0.00021837458,8.9362224e-8,0.0034481487,0.0037448828,0.00014439342],"about_ca_topic_score_codex":0.17317028,"about_ca_topic_score_gemma":0.29771146,"teacher_disagreement_score":0.12454119,"about_ca_system_score_codex":0.00008160067,"about_ca_system_score_gemma":0.000029989185,"threshold_uncertainty_score":0.83233565},"labels":[],"label_agreement":null},{"id":"W2293933107","doi":"","title":"How Does the Yield Curve Influences Real Estate Markets and Vice Versa","year":2012,"lang":"en","type":"article","venue":"Moneda y crédito","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Yield curve; Predictability; Econometrics; Real estate; Economics; Lag; Yield (engineering); Forward rate; Quarter (Canadian coin); Interest rate; Financial economics; Mathematics; Monetary economics; Statistics; Geography; Finance; Computer science","score_opus":0.025812036638602282,"score_gpt":0.20665297074139383,"score_spread":0.18084093410279153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2293933107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87751514,0.00036880156,0.000058451868,0.0025303387,0.0015369412,0.00012942097,0.0000436012,0.00004156283,0.11777574],"genre_scores_gemma":[0.99252564,0.0052384255,0.0001956766,0.00022017416,0.00067062443,0.000019314917,0.000004793631,0.000024644445,0.0011007051],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99894434,0.000022513612,0.00029155766,0.00027907544,0.000031372314,0.00043112368],"domain_scores_gemma":[0.9990926,0.00022797631,0.00020824606,0.00033023715,0.0000141243645,0.00012682643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008065136,0.00017202046,0.0002695023,0.000087204215,0.00023845518,0.00030939968,0.00022061495,0.000103647886,0.00011314199],"category_scores_gemma":[0.0001469065,0.00013175324,0.00006486326,0.00010578843,0.0001268093,0.0007450224,0.0001114161,0.00015612927,0.0001415977],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008741854,0.0000769298,0.9437887,0.000055976183,0.00010027827,0.0000041434537,0.0038736304,0.000018682797,0.000049692117,0.007633814,0.0081043355,0.036206417],"study_design_scores_gemma":[0.00040527165,0.000047275375,0.40391752,0.000018517398,0.0000199489,0.000008686576,0.0011859188,0.0010428117,0.00016138935,0.004796531,0.58784354,0.0005525694],"about_ca_topic_score_codex":0.00092973246,"about_ca_topic_score_gemma":0.00029360916,"teacher_disagreement_score":0.5797392,"about_ca_system_score_codex":0.000056563877,"about_ca_system_score_gemma":0.000010406721,"threshold_uncertainty_score":0.5372742},"labels":[],"label_agreement":null},{"id":"W2294266823","doi":"","title":"The Effects of Real Estate Cycles on the Valuation of Real Estate Investment Trusts","year":2010,"lang":"ko","type":"article","venue":"한국회계학회 학술연구발표회 논문집","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Real estate; Valuation (finance); Business; Finance; Real estate investment trust; Income approach; Capitalization rate; Actuarial science; Economics","score_opus":0.023299906278415276,"score_gpt":0.227957770922369,"score_spread":0.20465786464395372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2294266823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8499158,0.000046547186,0.000011952778,0.0008685539,0.0025930991,0.0007048605,0.00010388954,0.000022711823,0.14573261],"genre_scores_gemma":[0.9514476,0.047277845,0.00017245229,0.0001254864,0.00024459322,0.000053151118,0.000025076657,0.00007065906,0.0005831128],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99712086,0.00017285922,0.0014183437,0.0005613242,0.00013397502,0.000592631],"domain_scores_gemma":[0.99494845,0.0020412419,0.0015864614,0.0011899681,0.00009144671,0.00014244182],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003072863,0.0003835709,0.00073085004,0.00021570298,0.00039766415,0.00015543088,0.00067590136,0.00027010957,0.000095593256],"category_scores_gemma":[0.0007755588,0.00030711113,0.00031043193,0.00027614206,0.00053502765,0.00019607767,0.0001579247,0.0005308997,0.00018783087],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000889451,0.0010950321,0.1146187,0.00095887197,0.0008997096,0.000015450361,0.017758278,0.0010499548,0.0035831488,0.3132817,0.0031380197,0.5427117],"study_design_scores_gemma":[0.00512687,0.0024545756,0.7658951,0.00045516866,0.00036550954,0.000010652347,0.0015472366,0.056763746,0.018296003,0.09407211,0.05310878,0.0019042472],"about_ca_topic_score_codex":0.0030928724,"about_ca_topic_score_gemma":0.0017684854,"teacher_disagreement_score":0.6512764,"about_ca_system_score_codex":0.0001532138,"about_ca_system_score_gemma":0.00015073991,"threshold_uncertainty_score":0.9999381},"labels":[],"label_agreement":null},{"id":"W2294494697","doi":"","title":"Trends in Households' Aggregate Secured Debt","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Debt; Economics; Monetary economics; Inflation (cosmology); Stock (firearms); Household debt; Quarter (Canadian coin); Aggregate (composite); Macroeconomics; Geography","score_opus":0.01430578928949615,"score_gpt":0.20908978716142548,"score_spread":0.19478399787192932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2294494697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8900009,0.005475523,0.0011216307,0.0026482916,0.00042161785,0.0000617388,0.00001003748,0.00005241528,0.10020788],"genre_scores_gemma":[0.98621255,0.009406891,0.00018393718,0.0001957101,0.0004988531,0.0000037902398,0.0000054711177,0.00004585609,0.0034469203],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99688053,0.000020474134,0.0006871094,0.00029649865,0.00003084889,0.0020845218],"domain_scores_gemma":[0.9993203,0.000018967992,0.00034006985,0.00021301983,0.00001149381,0.0000961458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019880827,0.00018102267,0.00036476564,0.0005230704,0.00011871353,0.00010795466,0.0003119625,0.0001283781,0.00031769398],"category_scores_gemma":[0.000032696786,0.00021456109,0.00017523559,0.00032251177,0.000030807532,0.00042613572,0.00003289842,0.0012473454,0.00043091402],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009510793,0.00019547803,0.058659725,0.0000045105803,0.00012929436,0.000009290679,0.0006262705,0.0011701098,0.000013400776,0.59724206,0.0008540852,0.34100068],"study_design_scores_gemma":[0.0035990856,0.00026157094,0.0138091,0.00002741356,0.000014535092,0.00044885278,0.00038322707,0.0071193953,0.00004774576,0.7994961,0.17385404,0.0009389084],"about_ca_topic_score_codex":0.00013759281,"about_ca_topic_score_gemma":0.0050204988,"teacher_disagreement_score":0.34006175,"about_ca_system_score_codex":0.0016049969,"about_ca_system_score_gemma":0.00020502186,"threshold_uncertainty_score":0.87495476},"labels":[],"label_agreement":null},{"id":"W2295237969","doi":"10.14288/1.0052278","title":"Are Canadian house prices more closely linked to fundamentals than U.S. house prices?","year":2017,"lang":"en","type":"article","venue":"Open Collections","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; House price; Labour economics; Business; Monetary economics","score_opus":0.064800641786105,"score_gpt":0.2681229400966775,"score_spread":0.20332229831057247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2295237969","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2564718,0.000072750045,0.00010580197,0.0046752184,0.0016432868,0.0013555302,0.0007318487,0.00016410877,0.73477966],"genre_scores_gemma":[0.8917812,0.00030437342,0.0018940277,0.0014050636,0.00032630467,0.00025851754,0.000011990189,0.00016221422,0.10385632],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983077,0.000010523929,0.0004945951,0.0006019628,0.000032793298,0.000552413],"domain_scores_gemma":[0.99767566,0.000037528414,0.0007389986,0.0010106001,0.000047775837,0.0004894363],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00048203176,0.00022465317,0.00048572174,0.00033090002,0.0058227433,0.006647451,0.0013035027,0.00015750725,0.00091236335],"category_scores_gemma":[0.00026294214,0.00028847306,0.00011981844,0.00037603802,0.00007443095,0.0008384019,0.00034449133,0.00019180868,0.001193758],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009594721,0.00030176042,0.2015527,0.000030248208,0.00028678673,0.00003612268,0.0017033018,0.0003736353,0.00000656519,0.0031889859,0.7908583,0.0015656173],"study_design_scores_gemma":[0.0007096907,0.000073751,0.2544556,0.00003238268,0.000015498437,0.000007526607,0.00036316793,0.0003732451,0.000015497666,0.0028787788,0.7405137,0.000561148],"about_ca_topic_score_codex":0.54322433,"about_ca_topic_score_gemma":0.7382774,"teacher_disagreement_score":0.6353094,"about_ca_system_score_codex":0.00067862944,"about_ca_system_score_gemma":0.00021483516,"threshold_uncertainty_score":0.9999567},"labels":[],"label_agreement":null},{"id":"W2295684109","doi":"","title":"The illiquidity premium","year":2014,"lang":"en","type":"article","venue":"Investment Magazine","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Project commissioning; Quarter (Canadian coin); Publishing; Investment (military); Officer; Business; Sound (geography); Finance; Management; Economics; Engineering; History; Political science; Law; Archaeology; Politics","score_opus":0.02171339927369656,"score_gpt":0.19991872474202213,"score_spread":0.17820532546832557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2295684109","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09129557,0.00035800436,0.000975077,0.002773142,0.0011124914,0.00016134036,0.00001223871,0.00007838662,0.90323377],"genre_scores_gemma":[0.98125863,0.00069914013,0.00088839466,0.0037571606,0.00056936534,0.00004517483,0.000017568764,0.000043816406,0.01272072],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989684,0.000020623758,0.0004159518,0.00026650832,0.000022642596,0.0003058473],"domain_scores_gemma":[0.9991337,0.00010067072,0.00019108388,0.00046947287,0.000014199245,0.0000908559],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009791786,0.00012575684,0.00020463919,0.0000505074,0.00021297178,0.00012378566,0.00026436907,0.000057994057,0.000198021],"category_scores_gemma":[0.00018351607,0.000110327215,0.00007908778,0.000083068975,0.00010176068,0.00012164049,0.000078753066,0.00009909935,0.004375386],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017259794,0.000049584945,0.008649874,0.000011022639,0.000030074387,6.5311707e-7,0.00011291844,0.00005602838,0.000032730404,0.9341804,0.052208636,0.0046508345],"study_design_scores_gemma":[0.00023141803,0.000043093856,0.0055471146,0.00000294964,0.00000237966,0.0000013950198,0.0000040005857,0.004212833,0.000052455107,0.12885833,0.8609042,0.00013980198],"about_ca_topic_score_codex":0.000023327842,"about_ca_topic_score_gemma":0.000042548738,"teacher_disagreement_score":0.89051306,"about_ca_system_score_codex":0.00008620131,"about_ca_system_score_gemma":0.0000100810785,"threshold_uncertainty_score":0.9963998},"labels":[],"label_agreement":null},{"id":"W2297558989","doi":"10.14288/1.0075843","title":"The Rental Housing Index: Examining the State of Rental Housing in British Columbia","year":2015,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Rental housing; Renting; Index (typography); Public housing; State (computer science); Business; Political science; Economics; Economic growth; Law; Computer science","score_opus":0.022847219821100846,"score_gpt":0.1691458175480243,"score_spread":0.14629859772692344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2297558989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901741,0.0005026192,0.00014234487,0.000036579797,0.00048551502,0.00024160303,0.00023580727,0.000031696083,0.008149713],"genre_scores_gemma":[0.998236,0.00062398746,0.00015498979,0.000027255463,0.000040359082,7.6767463e-7,0.00001131965,0.000030918294,0.00087438227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99852407,0.00006117311,0.0004863838,0.00042656713,0.00009107703,0.0004107205],"domain_scores_gemma":[0.99878854,0.00010624905,0.00055556773,0.00036287057,0.00007605842,0.00011070733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013139495,0.000060099806,0.00045337033,0.000059308462,0.00043505433,0.000666046,0.00054216164,0.00010414286,0.00006792473],"category_scores_gemma":[0.00010775214,0.00021008021,0.00012352919,0.00037710735,0.0005251224,0.000476999,0.0002889464,0.00024796076,0.000021764128],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017293183,0.00008971617,0.68796754,0.00002684259,0.00004210732,0.00006051417,0.00074531225,0.00017416693,0.000004737491,0.000002312189,0.0024850129,0.30838445],"study_design_scores_gemma":[0.0013199493,0.000063994856,0.98781836,0.000146069,0.000009495721,0.000037533337,0.004368955,0.002653484,2.5252183e-7,0.0020372183,0.0012996326,0.00024502745],"about_ca_topic_score_codex":0.6452745,"about_ca_topic_score_gemma":0.9563473,"teacher_disagreement_score":0.31107277,"about_ca_system_score_codex":0.0003015128,"about_ca_system_score_gemma":0.00010209504,"threshold_uncertainty_score":0.85668224},"labels":[],"label_agreement":null},{"id":"W2300907343","doi":"","title":"Does Property Transaction Matter in the Price Discovery of Real Estate Markets","year":2016,"lang":"en","type":"article","venue":"Journal of the Asian Real Estate Society","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Price discovery; Real estate; Real estate investment trust; Database transaction; Business; Financial economics; Capitalization rate; Transaction cost; Investment (military); Economics; Monetary economics; Finance; Computer science; Database; Futures contract","score_opus":0.011963577980219162,"score_gpt":0.20153357784886217,"score_spread":0.189569999868643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2300907343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8824767,0.000004798153,0.0004674937,0.012636872,0.00064196246,0.00016972497,0.000054109245,0.000004398931,0.10354393],"genre_scores_gemma":[0.97740525,0.020377971,0.00035814373,0.0001337459,0.00012043009,0.0000029813816,5.854368e-7,0.000023374745,0.0015775206],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985835,0.00008486401,0.00085171,0.00016135944,0.000068551235,0.00025003642],"domain_scores_gemma":[0.9985411,0.0001093451,0.0009835968,0.00029446403,0.000032387386,0.00003906339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018528446,0.00013563174,0.0003517303,0.000053605603,0.00008228352,0.00007335861,0.00045039487,0.000083038394,0.000055380577],"category_scores_gemma":[0.000027983917,0.00004674447,0.00044321961,0.00014993931,0.00012919646,0.00066196686,0.00003113839,0.00023713784,0.000013783382],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001119952,0.0006890282,0.52828026,0.00036550497,0.00055577623,0.00002250291,0.04657699,0.0002129622,0.0017357372,0.00060122466,0.010804603,0.40903544],"study_design_scores_gemma":[0.002239587,0.00016048262,0.9462316,0.00023520824,0.000050515813,0.00007199838,0.0046010027,0.00038541487,0.0005128039,0.008353311,0.03674536,0.00041269045],"about_ca_topic_score_codex":0.0004488626,"about_ca_topic_score_gemma":0.00014240807,"teacher_disagreement_score":0.41795138,"about_ca_system_score_codex":0.00020545836,"about_ca_system_score_gemma":0.00007302745,"threshold_uncertainty_score":0.19061843},"labels":[],"label_agreement":null},{"id":"W2301219100","doi":"10.1111/1540-6229.12196","title":"Who Is “Misleading” Whom in Real Estate Transactions?","year":2017,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Listing (finance); Information asymmetry; Agency (philosophy); Real estate; Order (exchange); Principal–agent problem; Estate; Service (business); Business; Economics; Marketing; Microeconomics; Finance; Sociology","score_opus":0.041263260861403424,"score_gpt":0.2468591228612321,"score_spread":0.20559586199982868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2301219100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5827343,0.000006069814,0.00017074974,0.0005871776,0.0006320658,0.00016398534,0.0002084969,0.0000470844,0.41545007],"genre_scores_gemma":[0.85979944,0.13545771,0.0007906687,0.00014120727,0.00021269586,0.000032035518,0.000032628872,0.00012473023,0.0034088618],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99707156,0.000018959487,0.0012302103,0.0008750846,0.00002192056,0.0007822807],"domain_scores_gemma":[0.9975607,0.00007971025,0.00089681323,0.00119423,0.00002348083,0.0002451025],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009142683,0.000378911,0.0009071877,0.00037543688,0.00064495415,0.0009508492,0.00073647226,0.00026062113,0.00047089485],"category_scores_gemma":[0.000040328352,0.0005308489,0.0002502902,0.00007409163,0.00026614676,0.001280454,0.00007580613,0.00036000548,0.0011720745],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032462744,0.00030904062,0.30022374,0.0001474595,0.00022825092,0.00006176974,0.010606084,0.0059335344,0.000011656908,0.014056132,0.0013569436,0.6667408],"study_design_scores_gemma":[0.0063397004,0.0002972118,0.28393856,0.000121324825,0.000049581584,0.000045228648,0.0010548048,0.20954432,0.0003380673,0.03667858,0.45824835,0.0033442744],"about_ca_topic_score_codex":0.017593753,"about_ca_topic_score_gemma":0.010262276,"teacher_disagreement_score":0.6633965,"about_ca_system_score_codex":0.00060702657,"about_ca_system_score_gemma":0.000120394114,"threshold_uncertainty_score":0.9997143},"labels":[],"label_agreement":null},{"id":"W2301415378","doi":"","title":"Measuring Durable Goods and Housing Prices in the CPI: An Empirical Assessment","year":2015,"lang":"en","type":"article","venue":"Bank of Canada review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Durable good; Inflation (cosmology); Economics; Goods and services; Compromise; Index (typography); Measure (data warehouse); Price index; Macroeconomics; Microeconomics; Econometrics; Public economics; Economy; Computer science; Database","score_opus":0.12331140695192642,"score_gpt":0.2840387718295393,"score_spread":0.16072736487761285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2301415378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5678357,0.1315757,0.0002940702,0.0086701745,0.00048060055,0.0007071073,0.000029374158,0.000017548316,0.29038975],"genre_scores_gemma":[0.9717091,0.02543732,0.0011702966,0.0015765363,0.00005025882,0.000014391599,0.000004172342,0.000015566124,0.000022390848],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990134,0.000036994046,0.00051088113,0.00019184413,0.000055406723,0.00019147065],"domain_scores_gemma":[0.99936,0.000049016544,0.00023712723,0.00024998246,0.000018253979,0.00008558773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023123855,0.000094537005,0.00041293894,0.000046780708,0.000045949928,0.000041422565,0.00019180735,0.000029270868,0.000030555402],"category_scores_gemma":[0.00011549058,0.0000837174,0.00002945906,0.00015180613,0.000022956308,0.00017322565,0.00003066668,0.000097747055,0.0000014959512],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027468132,0.00028146346,0.80476433,0.0048479754,0.00009974348,0.000049090915,0.0012794749,0.00048101705,0.0000034580955,0.03889756,0.046825554,0.102442846],"study_design_scores_gemma":[0.0006011314,0.00008771641,0.13645282,0.0008428145,0.000026182943,0.00002056759,0.00030177666,0.0032580888,0.000004557218,0.0038819131,0.8540689,0.00045357572],"about_ca_topic_score_codex":0.068268485,"about_ca_topic_score_gemma":0.2181936,"teacher_disagreement_score":0.8072433,"about_ca_system_score_codex":0.00020971047,"about_ca_system_score_gemma":0.0003419171,"threshold_uncertainty_score":0.937936},"labels":[],"label_agreement":null},{"id":"W2301596632","doi":"10.14288/1.0101661","title":"An analysis of the real property assessments and taxes in British Columbia","year":2011,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Property (philosophy); Real property; Economics; Actuarial science; Business; Political science; Law","score_opus":0.02077051823606925,"score_gpt":0.17622136494574872,"score_spread":0.15545084670967946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2301596632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9806484,0.000039643943,0.00004340717,0.0000068830427,0.00008208418,0.00015363621,0.00049602933,0.0000124773,0.018517425],"genre_scores_gemma":[0.9979715,0.00058674434,0.0003416652,0.000015274207,0.0000065853606,5.749608e-7,0.00001194785,0.000010827091,0.0010549087],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99908644,0.000034905283,0.00027624425,0.00037673133,0.000036366797,0.00018931103],"domain_scores_gemma":[0.9992462,0.000014158076,0.0003114043,0.0003154824,0.000043277876,0.00006947394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040527162,0.000033483517,0.00045784406,0.00008070318,0.00014047569,0.00016666677,0.00034807328,0.00010416872,0.0003845207],"category_scores_gemma":[0.000016722712,0.00011979685,0.00013025317,0.00046593047,0.00024933158,0.000410525,0.00011911702,0.000093574956,0.0000028259935],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000039734896,0.00015938208,0.9262722,0.000023271694,0.00011369841,0.000012059561,0.00026222572,0.000007113915,0.0000041890507,0.000005803176,0.00020550528,0.07293057],"study_design_scores_gemma":[0.00047112125,0.00005343402,0.9946257,0.00003631863,0.00006550361,0.0000040866003,0.0007681008,0.0028936414,8.876474e-8,0.00081891904,0.000113958646,0.00014916401],"about_ca_topic_score_codex":0.93999845,"about_ca_topic_score_gemma":0.99056077,"teacher_disagreement_score":0.0727814,"about_ca_system_score_codex":0.000076281685,"about_ca_system_score_gemma":0.00003306331,"threshold_uncertainty_score":0.4885174},"labels":[],"label_agreement":null},{"id":"W2302319116","doi":"10.3386/w22096","title":"Macroeconomic-Driven Prepayment Risk and the Valuation of Mortgage-Backed Securities","year":2016,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Prepayment of loan; Commercial mortgage-backed security; Valuation (finance); Business; Mortgage underwriting; Actuarial science; Financial economics; Financial system; Finance; Economics; Mortgage insurance","score_opus":0.3113648250512741,"score_gpt":0.437347407377123,"score_spread":0.1259825823258489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2302319116","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059892535,0.0034735042,0.000065638815,0.00094976305,0.001076686,0.0013557939,0.0016674553,0.000019202527,0.9314994],"genre_scores_gemma":[0.9510439,0.042838573,0.00018969987,0.000017219483,0.0007908734,0.0001935966,0.00019359917,0.00007799826,0.0046545197],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9959433,0.00025057545,0.0022425554,0.0007949193,0.00029808583,0.00047057457],"domain_scores_gemma":[0.99417174,0.0020881954,0.0023004666,0.0006338363,0.00070434413,0.00010144448],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01737218,0.0003149985,0.0012972994,0.0009941205,0.00023338442,0.00011364767,0.0006778532,0.00042589466,0.0009855701],"category_scores_gemma":[0.0017815444,0.00028022315,0.0003771585,0.00010664385,0.0013139406,0.0002928244,0.00037493513,0.0005833195,0.00022948824],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037765142,0.00008129077,0.025198163,0.00037318727,0.0007502053,8.0450775e-7,0.0006236352,0.00039753903,0.0000049078094,0.950587,0.017412717,0.0041929395],"study_design_scores_gemma":[0.0023967614,0.00009137375,0.0032056405,0.00014804621,0.000033310003,0.000011081188,0.00009386529,0.0049793567,0.000067971574,0.957071,0.0315552,0.00034640182],"about_ca_topic_score_codex":0.0037263208,"about_ca_topic_score_gemma":0.0004329664,"teacher_disagreement_score":0.9268449,"about_ca_system_score_codex":0.0017235129,"about_ca_system_score_gemma":0.0012852702,"threshold_uncertainty_score":0.999965},"labels":[],"label_agreement":null},{"id":"W2302898654","doi":"","title":"FROM 'LOSER-CRUISER' TO 'WINNER-BAGO': INCREASING TRANSIT RIDERSHIP IN KELOWNA, BC","year":2009,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transit (satellite); Mathematics; Transport engineering; Engineering; Public transport","score_opus":0.02012689106841303,"score_gpt":0.20186374709852095,"score_spread":0.18173685603010792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2302898654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7759982,0.00024474878,0.000086624146,0.00029712112,0.00088523625,0.00034637557,0.00025773526,0.00008998398,0.221794],"genre_scores_gemma":[0.98356754,0.0007270327,0.00052745023,0.00024859025,0.00037652222,0.0000026781663,0.001630118,0.000114556984,0.012805543],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99718106,0.000076403856,0.0007842889,0.0011864924,0.00007491361,0.00069686637],"domain_scores_gemma":[0.99838614,0.00014271267,0.00045532925,0.0006436968,0.00005348637,0.00031861264],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00046053223,0.0005677048,0.0011058667,0.0020123427,0.00018880793,0.00017415987,0.00082828064,0.0007655701,0.00092955097],"category_scores_gemma":[0.000100456346,0.0008828798,0.00034684842,0.0010376642,0.000036167672,0.00054710225,0.00004660842,0.00066405634,0.0010875299],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036070228,0.0006772222,0.9212038,0.0002607352,0.00043977247,0.0005300808,0.001759987,0.0017806434,0.000012579363,0.008704879,0.023091672,0.037931606],"study_design_scores_gemma":[0.004744116,0.00031761162,0.10015119,0.0008182551,0.00019845668,1.9469578e-8,0.040209215,0.0008436074,0.00048684984,0.018781932,0.82960093,0.0038477946],"about_ca_topic_score_codex":0.01549239,"about_ca_topic_score_gemma":0.37297723,"teacher_disagreement_score":0.8210526,"about_ca_system_score_codex":0.00081383326,"about_ca_system_score_gemma":0.00012693038,"threshold_uncertainty_score":0.9999837},"labels":[],"label_agreement":null},{"id":"W2309820132","doi":"10.14288/1.0095934","title":"Urban housing tenure choice from an economic and demographic perspective","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Housing tenure; Perspective (graphical); Economics; Economic growth; Demographic economics; Labour economics","score_opus":0.008513906201774278,"score_gpt":0.16737533112344163,"score_spread":0.15886142492166735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2309820132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865582,0.0001956669,0.000088744186,0.00012448388,0.00040238994,0.00011809183,0.0005161778,0.000057385205,0.011938861],"genre_scores_gemma":[0.9987115,0.00025639683,0.0006649095,0.000046923466,0.00015289545,2.9800057e-7,0.000021870273,0.000025674493,0.00011952509],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989493,0.000013655091,0.00018917791,0.00058621075,0.000020641699,0.00024101535],"domain_scores_gemma":[0.99917537,0.000048981583,0.00024123499,0.00033269118,0.000037928585,0.00016379188],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022995242,0.00006294164,0.00036941172,0.00010418746,0.00027402447,0.00022683373,0.0002365744,0.00018450832,0.00031131296],"category_scores_gemma":[0.000031381867,0.00024966348,0.00010619944,0.00008822693,0.00030712422,0.0006785949,0.00009373502,0.0002419499,0.000052088883],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011040111,0.00009054017,0.94026273,0.000013836051,0.00008046079,0.000020773221,0.0007146506,0.0000065686777,0.00007125661,0.00048977236,0.001130118,0.05710824],"study_design_scores_gemma":[0.00071574224,0.000041232954,0.98385817,0.000014888984,0.000017622362,0.000010960861,0.0009281486,0.0016571542,2.868018e-7,0.009995906,0.0024774617,0.00028241827],"about_ca_topic_score_codex":0.36903664,"about_ca_topic_score_gemma":0.6484448,"teacher_disagreement_score":0.2794081,"about_ca_system_score_codex":0.00008922534,"about_ca_system_score_gemma":0.00003485568,"threshold_uncertainty_score":0.9999956},"labels":[],"label_agreement":null},{"id":"W2310386138","doi":"10.14288/1.0096017","title":"Regional model of multi family housing starts : an inventory adjustment approach","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business","score_opus":0.0418317688478374,"score_gpt":0.17729474758245706,"score_spread":0.13546297873461965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2310386138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9816815,0.00011107745,0.0033475189,0.000016611215,0.00020837138,0.0001488368,0.00020406622,0.00003228896,0.01424969],"genre_scores_gemma":[0.99062496,0.00018974344,0.008735803,0.00004265005,0.000035732537,4.6576662e-7,0.00003247876,0.000020649579,0.00031748362],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9990642,0.0000124645185,0.0002575488,0.00039943933,0.000044828786,0.00022150771],"domain_scores_gemma":[0.9991333,0.0000100053585,0.00032348803,0.00034493147,0.0000622434,0.00012604638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003552248,0.000052526324,0.00035746014,0.00009391629,0.00013274547,0.00004349984,0.00031070536,0.00014692696,0.0000543218],"category_scores_gemma":[0.000012100411,0.00020458928,0.00013478706,0.00010431791,0.00024901054,0.00044234123,0.00009200194,0.00016823216,0.000012182054],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010550814,0.0033522306,0.25847796,0.00052203273,0.0002952644,0.000028113096,0.0046847006,0.009771488,0.0023120833,0.0023343903,0.003911211,0.714205],"study_design_scores_gemma":[0.0010902336,0.000047929552,0.7504243,0.000022425496,0.0000138764335,0.000005292308,0.0009830713,0.24412772,5.634472e-7,0.0025015266,0.0005067137,0.00027632978],"about_ca_topic_score_codex":0.036939196,"about_ca_topic_score_gemma":0.08326743,"teacher_disagreement_score":0.7139287,"about_ca_system_score_codex":0.00006867919,"about_ca_system_score_gemma":0.00006365346,"threshold_uncertainty_score":0.9694739},"labels":[],"label_agreement":null},{"id":"W2311011372","doi":"","title":"Low Volatility Investing in U.S. Equity REITs","year":2017,"lang":"en","type":"article","venue":"Journal of the Asian Real Estate Society","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Volatility (finance); Real estate investment trust; Financial economics; Equity (law); Portfolio; Economics; Volatility risk premium; Volatility smile; Volatility swap; Real estate; Implied volatility; Econometrics; Monetary economics; Business; Finance","score_opus":0.05033718256869845,"score_gpt":0.27492027150396436,"score_spread":0.2245830889352659,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2311011372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7988714,0.000014933924,0.0000557193,0.002285841,0.0006540274,0.000060820326,0.000011217425,0.000004917524,0.19804111],"genre_scores_gemma":[0.9968674,0.0014185733,0.0012061906,0.000108289074,0.00018649573,6.1368246e-7,4.0488442e-7,0.000015989774,0.0001960138],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986817,0.000026775362,0.00080471666,0.0001615137,0.000046458226,0.000278828],"domain_scores_gemma":[0.9975274,0.00003891015,0.0017977854,0.0005022204,0.000038652157,0.00009501481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002646682,0.000115060466,0.00038298484,0.00003740733,0.0003561482,0.00022251773,0.00081253797,0.00010489382,0.000023381572],"category_scores_gemma":[0.00046854798,0.00010161159,0.00038188955,0.00006939338,0.00015686263,0.0005436137,0.00030124647,0.00046581728,0.000013045545],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004077648,0.000100630496,0.9134899,0.00007572835,0.00007306319,0.000010166569,0.005703951,0.00021442758,0.000056997902,0.0017253135,0.0015565965,0.07695246],"study_design_scores_gemma":[0.00090079114,0.000041689247,0.9384247,0.00010286251,0.000009209431,0.000021229147,0.0003714299,0.0071628396,0.00009482206,0.04794643,0.004708127,0.00021587075],"about_ca_topic_score_codex":0.0005349788,"about_ca_topic_score_gemma":0.0003105448,"teacher_disagreement_score":0.19799602,"about_ca_system_score_codex":0.00029884276,"about_ca_system_score_gemma":0.00011241444,"threshold_uncertainty_score":0.41436005},"labels":[],"label_agreement":null},{"id":"W2311562352","doi":"10.5539/ijef.v8n4p198","title":"Financial Centres Index and GDP Growth","year":2016,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Index (typography); Economics; Panel data; Fixed effects model; Regression analysis; Econometrics; Regression; Sample (material); Random effects model; Real gross domestic product; Linear regression; Statistics; Mathematics; Internal medicine","score_opus":0.012755533399054435,"score_gpt":0.1928614197508833,"score_spread":0.18010588635182886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2311562352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879907,0.0008118007,0.00087911857,0.0040602265,0.0013642012,0.000037911286,0.00009628762,0.0000033055555,0.004756461],"genre_scores_gemma":[0.94681174,0.05168006,0.0005295666,0.00028371825,0.00041783685,0.0000012328151,7.628265e-7,0.000013630578,0.000261434],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989251,0.0000056100403,0.000674422,0.0002110912,0.000017427483,0.00016637972],"domain_scores_gemma":[0.99903387,0.00007436278,0.0006718304,0.0000875974,0.00008245702,0.000049887625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035762985,0.00012228337,0.00031401575,0.0002122168,0.000046049245,0.00010487279,0.000250423,0.00008089248,0.000048669786],"category_scores_gemma":[0.00012875008,0.00011242631,0.00008154701,0.000026769985,0.0001048281,0.0005204783,0.000067760964,0.00008716448,0.000023438353],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002219789,0.000057956964,0.117704794,0.0000062930485,0.00009095916,0.000018899123,0.00020558453,0.00008337651,0.000010480386,0.8162906,0.0012078028,0.06410126],"study_design_scores_gemma":[0.0031023119,0.00014167046,0.09377177,0.000091222035,0.0000075155244,0.00021176907,0.000022486796,0.002366111,0.00013112077,0.5789173,0.32080725,0.00042948543],"about_ca_topic_score_codex":0.000037007238,"about_ca_topic_score_gemma":0.00003885446,"teacher_disagreement_score":0.31959945,"about_ca_system_score_codex":0.000091850125,"about_ca_system_score_gemma":0.000036314075,"threshold_uncertainty_score":0.45846117},"labels":[],"label_agreement":null},{"id":"W2317639147","doi":"10.2139/ssrn.1356650","title":"The Decline in the Cost of Private Placements","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Business; Economics","score_opus":0.015386298229769819,"score_gpt":0.2279390363945964,"score_spread":0.2125527381648266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317639147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9369754,0.00383308,0.0035291796,0.011569642,0.0003550907,0.00028622698,0.000005609372,0.000008689654,0.04343704],"genre_scores_gemma":[0.98600626,0.013152932,0.000029516043,0.00045556025,0.00010329603,0.000002387539,0.0000013387263,0.0000074492473,0.00024123202],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99828833,0.000029418108,0.00054974505,0.00011075822,0.000033646207,0.0009880806],"domain_scores_gemma":[0.9993448,0.00007698452,0.0003490009,0.00019537266,0.000011556493,0.000022236323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004829241,0.00008450213,0.00017550967,0.00008286375,0.00017193504,0.00007713692,0.00048674594,0.000041353116,0.000016611673],"category_scores_gemma":[0.00009295119,0.00005982696,0.00007987757,0.00014470192,0.00003387396,0.000110634544,0.000021903194,0.0007002628,0.00003903948],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008882074,0.000085672895,0.0244079,0.0000014080147,0.00003798525,9.3866265e-7,0.00021058621,0.0001731678,0.0000061184032,0.93321586,0.00024258673,0.041528955],"study_design_scores_gemma":[0.0008133138,0.00019675383,0.015048826,0.000006469386,0.0000037347609,0.000039588365,0.00036049722,0.00075322593,0.000009413957,0.92172515,0.060936503,0.00010654452],"about_ca_topic_score_codex":0.000040970994,"about_ca_topic_score_gemma":0.0007312667,"teacher_disagreement_score":0.060693916,"about_ca_system_score_codex":0.00033008066,"about_ca_system_score_gemma":0.00014272111,"threshold_uncertainty_score":0.30423322},"labels":[],"label_agreement":null},{"id":"W2324690340","doi":"10.1017/s1748499514000268","title":"Home equity release for long-term care financing: an improved market structure and pricing approach","year":2014,"lang":"en","type":"article","venue":"Annals of Actuarial Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Loan; Equity (law); Business; Real estate; Actuarial science; Finance; Sample (material); Economics","score_opus":0.05063004071954558,"score_gpt":0.28241911424445526,"score_spread":0.23178907352490968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2324690340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9805915,0.00011982629,0.006946133,0.00011806744,0.00045729926,0.0003202877,0.00008447181,0.000021289996,0.011341136],"genre_scores_gemma":[0.9965079,0.00007618069,0.0029603015,0.00015473472,0.00023116349,0.000006604519,0.000014298234,0.000016334472,0.000032517328],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99842846,0.0000131943525,0.0004375745,0.00060129375,0.00004860776,0.00047089532],"domain_scores_gemma":[0.9988516,0.00007157888,0.00038663507,0.00040104293,0.000106491316,0.00018265944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015864855,0.00015919613,0.000389038,0.0001902612,0.00029404706,0.0002449558,0.00048848765,0.00010827327,0.0000306147],"category_scores_gemma":[0.000510725,0.00017011528,0.00007289708,0.00020771094,0.00029812887,0.00074380386,0.00019027707,0.00009687441,0.0000013409468],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013432973,0.00038019964,0.22734392,0.0016174908,0.00008264366,0.0000015361546,0.010393177,0.0006624465,0.005145441,0.10487059,0.00078697683,0.6473723],"study_design_scores_gemma":[0.0032349927,0.0017114567,0.757195,0.00009183938,0.000033273212,0.000011673775,0.0003577819,0.15166396,0.0063283416,0.07372497,0.003948017,0.0016987162],"about_ca_topic_score_codex":0.00014664436,"about_ca_topic_score_gemma":0.000037007998,"teacher_disagreement_score":0.6456736,"about_ca_system_score_codex":0.00004483431,"about_ca_system_score_gemma":0.00008386174,"threshold_uncertainty_score":0.69370997},"labels":[],"label_agreement":null},{"id":"W2331440084","doi":"10.1017/s1357321700005638","title":"Management Actions in a With-Profits Fund","year":2009,"lang":"en","type":"article","venue":"British Actuarial Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Estate; Business; Asset management; Investment management; Actuarial science; Asset (computer security); Distribution (mathematics); Real estate; Target date fund; Finance; Management fee; Economics; Open-end fund; Institutional investor; Computer science","score_opus":0.03563954198128504,"score_gpt":0.22302147375554324,"score_spread":0.1873819317742582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2331440084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51111937,0.0002172388,0.0015093924,0.0008327678,0.0009179153,0.0001647874,0.000013641602,0.000030188741,0.48519468],"genre_scores_gemma":[0.9954396,0.001098772,0.0019520913,0.0002625967,0.0004972886,0.000004021747,0.0000035314536,0.000015938342,0.0007261801],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99891657,0.000010292144,0.00047824418,0.00022443398,0.000031061812,0.00033939583],"domain_scores_gemma":[0.9995404,0.000012281372,0.000197493,0.00012448193,0.000014283427,0.00011109863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004052193,0.000103164486,0.00025970323,0.00023232412,0.00016029926,0.00048462176,0.00017614277,0.00007304593,0.00044297986],"category_scores_gemma":[0.000016528855,0.0001423277,0.00007381696,0.00016745136,0.000022176833,0.00042333844,0.000018226598,0.00027323703,0.00015209704],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045956296,0.0007421708,0.042443573,0.000027717055,0.00022936141,0.002303914,0.0006197093,0.00097166945,0.00001451786,0.077248305,0.019471139,0.85546833],"study_design_scores_gemma":[0.008885716,0.0005489774,0.5565852,0.0002951468,0.000031582193,0.0036429232,0.0004015513,0.001054138,0.000017343404,0.12024033,0.30710727,0.0011898066],"about_ca_topic_score_codex":0.00012709094,"about_ca_topic_score_gemma":0.00023295873,"teacher_disagreement_score":0.85427856,"about_ca_system_score_codex":0.00017802298,"about_ca_system_score_gemma":0.00001947587,"threshold_uncertainty_score":0.58039546},"labels":[],"label_agreement":null},{"id":"W2335968513","doi":"10.5539/ass.v12n5p84","title":"Flood and Land Property Values","year":2016,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Flood myth; Depreciation (economics); Land use; Land development; Natural resource economics; Agricultural land; Value (mathematics); Real estate; Business; Agriculture; Asset (computer security); Environmental planning; Agricultural economics; Geography; Economics; Economic growth; Civil engineering; Finance; Mathematics; Computer science; Engineering","score_opus":0.02306241869762902,"score_gpt":0.21603112658345766,"score_spread":0.19296870788582865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2335968513","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15985902,0.000033918364,0.00019564554,0.0025399942,0.00019374555,0.000057219033,0.000011644745,0.000027545399,0.83708125],"genre_scores_gemma":[0.99805564,0.000072076335,0.00021600643,0.000108662054,0.00013545564,0.000003182134,1.9213125e-7,0.000006785563,0.0014019833],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99926144,0.0000049754703,0.00016309386,0.00028941338,0.000025142052,0.00025595675],"domain_scores_gemma":[0.99972457,0.000011914638,0.00007799294,0.0000989694,0.000013074463,0.000073471856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006252783,0.000064270665,0.0001371596,0.00007171132,0.00033732894,0.000109903325,0.00018406381,0.000039950082,0.00010622688],"category_scores_gemma":[0.00008981214,0.000043594027,0.00002585856,0.00016026557,0.00047011767,0.00040410602,0.000072656185,0.000032332366,0.00024170593],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009338548,0.000031907264,0.1958253,0.0000075591183,0.000008316562,0.0000016391341,0.0015459681,2.8660427e-8,0.00030697466,0.1839968,0.00081018795,0.617456],"study_design_scores_gemma":[0.0008185022,0.000069154965,0.67844796,0.000017626231,0.000004002817,0.000006075802,0.0002259712,0.00006550349,0.00024994442,0.18704991,0.13254368,0.00050164526],"about_ca_topic_score_codex":0.00005613537,"about_ca_topic_score_gemma":0.000014694645,"teacher_disagreement_score":0.83819664,"about_ca_system_score_codex":0.000068901936,"about_ca_system_score_gemma":0.000029719513,"threshold_uncertainty_score":0.31067213},"labels":[],"label_agreement":null},{"id":"W2336367124","doi":"10.2139/ssrn.2666018","title":"The Price Distribution and Technological Shocks in Markets with Endogenous Search Intensity","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; Government of Canada","funders":"","keywords":"Economics; Intensity (physics); Distribution (mathematics); Econometrics; Endogeny; Monetary economics; Mathematics; Chemistry; Physics","score_opus":0.028135483759267645,"score_gpt":0.20305192118344012,"score_spread":0.17491643742417248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2336367124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98076427,0.002794702,0.005156757,0.0013873943,0.00008513993,0.00012092766,0.0000054351985,0.000020609094,0.009664782],"genre_scores_gemma":[0.99248636,0.007235489,0.000039125964,0.000023483448,0.00004982755,0.000003846651,0.0000032821886,0.00001105011,0.00014751255],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981858,0.000030891333,0.0003003217,0.00020273743,0.000036441706,0.0012437917],"domain_scores_gemma":[0.99954146,0.000057174784,0.00012978383,0.00014639279,0.00004258429,0.00008259943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049758046,0.0001063761,0.00020906366,0.00008021119,0.00021544014,0.000121979814,0.000203934,0.00009324045,0.000004255111],"category_scores_gemma":[0.00019187099,0.00008078193,0.000030882762,0.00017113028,0.00014475406,0.00013930575,0.000069500704,0.0012225085,0.000024334866],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089254056,0.00011916003,0.38843864,0.0000057083225,0.000113315065,0.000027374714,0.00030227535,0.00008219167,0.0000076011365,0.5598753,0.00012607596,0.050009802],"study_design_scores_gemma":[0.002887691,0.00088967616,0.052101217,0.0000240314,0.000012128963,0.0035725366,0.0050568227,0.004277003,0.000047413494,0.90389943,0.026647637,0.0005844262],"about_ca_topic_score_codex":0.00010415204,"about_ca_topic_score_gemma":0.00057121087,"teacher_disagreement_score":0.34402412,"about_ca_system_score_codex":0.0012420986,"about_ca_system_score_gemma":0.00033376823,"threshold_uncertainty_score":0.5311259},"labels":[],"label_agreement":null},{"id":"W2336543819","doi":"","title":"A Mixed Frequency Approach to Forecast Private Consumption with ATM/POS Data","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nowcasting; Private consumption; Quarter (Canadian coin); Payment; Consumption (sociology); Computer science; Variable (mathematics); Econometrics; Economics; Geography; Mathematics","score_opus":0.14251621668069225,"score_gpt":0.29673087913668517,"score_spread":0.1542146624559929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2336543819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5140989,0.00023052069,0.0010330807,0.00058570685,0.00083729037,0.0021665227,0.0020588008,0.000113356014,0.47887585],"genre_scores_gemma":[0.9660842,0.010427367,0.0188095,0.00017581989,0.00069119234,0.00074233947,0.001038651,0.00034009723,0.0016908521],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9935032,0.0001475746,0.0016964916,0.002970364,0.00011634115,0.0015660088],"domain_scores_gemma":[0.9940816,0.000341768,0.0007328651,0.0042747585,0.000077413904,0.0004915714],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0044741686,0.0006722391,0.0014375913,0.0012861806,0.00025652588,0.00047980135,0.0028258301,0.00074746483,0.00018229694],"category_scores_gemma":[0.00053481956,0.00070960884,0.00018152483,0.00022762788,0.00042776583,0.0005172741,0.0034644967,0.0015103186,0.00050909584],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012988682,0.0015005833,0.56499016,0.0017912796,0.0012500038,0.00008476898,0.0014293512,0.008005382,0.000068004156,0.123298794,0.0016771503,0.29460567],"study_design_scores_gemma":[0.013083808,0.0013346496,0.14439672,0.0031975694,0.00011857037,0.00021787923,0.00088512397,0.15972114,0.00021486537,0.26077348,0.4043081,0.011748101],"about_ca_topic_score_codex":0.0001925784,"about_ca_topic_score_gemma":0.0006560957,"teacher_disagreement_score":0.477185,"about_ca_system_score_codex":0.0018558762,"about_ca_system_score_gemma":0.00035234937,"threshold_uncertainty_score":0.9995355},"labels":[],"label_agreement":null},{"id":"W2339466379","doi":"10.1002/2015wr017534","title":"Valuing water resources in Switzerland using a hedonic price model","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Federal Office of Topography swisstopo","keywords":"Recreation; Econometrics; Spatial dependence; Spatial analysis; Abundance (ecology); Environmental science; Spatial econometrics; Economics; Geography; Statistics; Ecology; Mathematics","score_opus":0.1064884894322943,"score_gpt":0.29200027420375707,"score_spread":0.18551178477146277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2339466379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9539687,0.00024134495,0.00058058975,0.001090952,0.00009858083,0.000280212,0.00001552779,0.00004790437,0.043676205],"genre_scores_gemma":[0.99334717,0.00020555293,0.0003751463,0.000055961158,0.00021528381,0.00003312139,0.0000044513554,0.00008302886,0.005680287],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963802,0.00013925458,0.000849311,0.0008394071,0.00015740398,0.0016344225],"domain_scores_gemma":[0.99887615,0.00012887445,0.00008391845,0.00065473304,0.000060800685,0.00019550778],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005078872,0.00024773448,0.0005122862,0.0011600152,0.00033910468,0.00035464086,0.0006753593,0.00021866882,0.00059590454],"category_scores_gemma":[0.00011336964,0.00015866327,0.00012874349,0.0002485813,0.00023013628,0.00043905704,0.00058987516,0.00041409332,0.0015325929],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023099734,0.0010671623,0.6155806,0.0008193558,0.00042811697,0.00031796552,0.17643705,0.038022354,0.13623285,0.0076516047,0.0014272333,0.019705737],"study_design_scores_gemma":[0.0062406305,0.00035395825,0.004833906,0.00057147176,0.000013822175,0.00005281814,0.0009708525,0.33613688,0.025686452,0.15411562,0.4686489,0.002374685],"about_ca_topic_score_codex":0.00093946623,"about_ca_topic_score_gemma":0.00013919424,"teacher_disagreement_score":0.6107467,"about_ca_system_score_codex":0.0005111269,"about_ca_system_score_gemma":0.0000173956,"threshold_uncertainty_score":0.9992448},"labels":[],"label_agreement":null},{"id":"W2340208061","doi":"10.22495/jgr_v3_i4_c2_p1","title":"Effectiveness of the national credit act of South Africa in reducing household debt: a Johansen cointegration and VECM analysis","year":2014,"lang":"en","type":"article","venue":"Journal of Governance and Regulation","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cointegration; Quarter (Canadian coin); Debt; Household debt; Economics; Error correction model; Debt service coverage ratio; Granger causality; Monetary economics; Finance; External debt; Econometrics; Geography","score_opus":0.017961097262544173,"score_gpt":0.19964420187223234,"score_spread":0.18168310460968817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340208061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99639493,0.00023560325,0.001596542,0.000078525314,0.00009693906,0.000047944235,0.000015459651,9.617568e-7,0.0015330705],"genre_scores_gemma":[0.9995432,0.00016266787,0.00020650243,0.000004410327,0.00005144252,5.5248853e-7,8.6750987e-7,0.000004838536,0.000025503516],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999262,0.00004103676,0.00048779702,0.000093686635,0.000055508594,0.00005999837],"domain_scores_gemma":[0.99858034,0.00012178183,0.0011588669,0.00006564288,0.000056230867,0.000017120065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013823402,0.0000574087,0.0003055487,0.00015186127,0.000030529704,0.000016819435,0.000060218827,0.00005259559,0.0000041397107],"category_scores_gemma":[0.00023089164,0.000047250658,0.00008711567,0.0002392448,0.000047039324,0.00020355984,0.000014931119,0.00007030185,1.3129154e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033699445,0.00008110536,0.92616826,0.00018012988,0.00023431475,2.4519707e-7,0.0020638965,0.039704993,0.0024621692,0.025790295,0.000062887644,0.00291469],"study_design_scores_gemma":[0.00046735376,0.000045613247,0.9716096,0.00011799559,0.000031192285,0.0000025659767,0.000022453856,0.020323116,0.0005586494,0.006620305,0.00014934423,0.000051810766],"about_ca_topic_score_codex":0.000057176847,"about_ca_topic_score_gemma":0.000028533941,"teacher_disagreement_score":0.04544132,"about_ca_system_score_codex":0.00006374586,"about_ca_system_score_gemma":0.000024707266,"threshold_uncertainty_score":0.1926826},"labels":[],"label_agreement":null},{"id":"W2341957691","doi":"10.1080/02673037.2015.1132685","title":"Homeownership, Asset-based Welfare and the Neighbourhood Segregation of Wealth","year":2016,"lang":"en","type":"article","venue":"Housing Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Asset (computer security); Economics; Welfare; Debt; Household debt; Distribution (mathematics); Neighbourhood (mathematics); Labour economics; CITES; House price; Demographic economics; Monetary economics; Macroeconomics; Market economy","score_opus":0.03870121824550721,"score_gpt":0.24070958325111608,"score_spread":0.20200836500560887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2341957691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.947339,0.0048365123,0.0016076318,0.02397394,0.00064655097,0.00027171805,0.00005575909,0.000069222944,0.021199668],"genre_scores_gemma":[0.9975582,0.0017304377,0.00038017245,0.00015889603,0.000058963353,0.00000985052,0.0000010664603,0.000018837765,0.00008359483],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990932,0.000030486815,0.0004225571,0.00022940693,0.000025176476,0.00019919162],"domain_scores_gemma":[0.9990489,0.0002700314,0.00039040862,0.00022133162,0.000040516996,0.000028806006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008675207,0.00012342959,0.00043670592,0.000111755064,0.00023543212,0.000033027445,0.00009795377,0.00004896409,0.00003948885],"category_scores_gemma":[0.000294753,0.000077692,0.00007330253,0.000105362444,0.00034848106,0.00012387858,0.00005517216,0.000051963638,0.000018858093],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028734014,0.00007953451,0.21344955,0.00027257152,0.00038220637,0.0000019051184,0.0028725928,0.00007043398,0.00002587756,0.70108974,0.0006855669,0.08078269],"study_design_scores_gemma":[0.030439602,0.0006264882,0.4018522,0.0011073317,0.00026095254,0.00001324689,0.00858408,0.007727315,0.0012603698,0.48724702,0.05832369,0.0025577063],"about_ca_topic_score_codex":0.00010504838,"about_ca_topic_score_gemma":0.00010270633,"teacher_disagreement_score":0.2138427,"about_ca_system_score_codex":0.000079473764,"about_ca_system_score_gemma":0.000015502246,"threshold_uncertainty_score":0.31681877},"labels":[],"label_agreement":null},{"id":"W2342710669","doi":"10.15173/esr.v20i1.542","title":"The Effect of Poverty Status and Public Housing Residency on Residential Energy Consumption in the U.S.","year":2013,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Income elasticity of demand; Price elasticity of demand; Economics; Energy poverty; Consumption (sociology); Energy consumption; Poverty; Agricultural economics; Electricity; Energy conservation; Demographic economics; Situated; Business; Labour economics; Economic growth; Microeconomics","score_opus":0.03745700080306154,"score_gpt":0.25584787660147873,"score_spread":0.2183908757984172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2342710669","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16448648,0.798296,0.000029618483,0.0058367476,0.0005800959,0.00036386843,0.000008371358,0.000020375863,0.030378452],"genre_scores_gemma":[0.44794494,0.55128956,0.0000077574805,0.00058573176,0.00003855394,0.00006568632,0.0000022442644,0.000009177411,0.000056317807],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99854404,0.0001998125,0.00065334095,0.00025791302,0.00004394015,0.0003009601],"domain_scores_gemma":[0.9984786,0.00074835,0.000367536,0.00034854613,0.000023304623,0.000033650645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012798741,0.00015817204,0.00054725097,0.00008999184,0.00022498854,0.00008830042,0.0001884036,0.000044180368,0.000065914166],"category_scores_gemma":[0.00060846866,0.00009812981,0.0000926278,0.00016679686,0.00014487674,0.0001750076,0.000097381,0.00008941609,0.000026583884],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006304327,0.00005930555,0.149288,0.0016671197,0.0003620919,0.0000046393916,0.00035422939,0.000024176778,0.0000028457407,0.30188423,0.04618535,0.50010496],"study_design_scores_gemma":[0.0014296611,0.00059421244,0.09284206,0.0016568485,0.00008005639,0.000007451849,0.00027305973,0.00031237243,0.000055149314,0.028617997,0.87343645,0.0006946863],"about_ca_topic_score_codex":0.0014505085,"about_ca_topic_score_gemma":0.0016318086,"teacher_disagreement_score":0.8272511,"about_ca_system_score_codex":0.00008098211,"about_ca_system_score_gemma":0.0000112592425,"threshold_uncertainty_score":0.40016174},"labels":[],"label_agreement":null},{"id":"W2343659739","doi":"10.1016/j.jue.2016.03.008","title":"What is the role of the asking price for a house?","year":2016,"lang":"en","type":"article","venue":"Journal of Urban Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":133,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Notice; Microeconomics; Bust; Mid price; Factor price; Empirical evidence; Price level; Monetary economics; Boom","score_opus":0.017725815619121225,"score_gpt":0.18955181478803193,"score_spread":0.1718259991689107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2343659739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9663066,0.0034414232,0.0016212801,0.013902641,0.004345843,0.0004112584,0.00010455904,0.000013927331,0.009852448],"genre_scores_gemma":[0.9931221,0.004432317,0.00048101033,0.00061609544,0.0005679958,0.000005289313,1.7607863e-7,0.00005317898,0.0007218269],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99839306,0.000015636142,0.0011320001,0.00017494717,0.000020372305,0.00026399567],"domain_scores_gemma":[0.9970343,0.0003368432,0.0020749075,0.00042342008,0.00006656198,0.000063970925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001325324,0.00014002113,0.00045506432,0.00011900484,0.000121295365,0.0001437072,0.0006995002,0.00009527344,0.00009031989],"category_scores_gemma":[0.00014572742,0.000077469216,0.00046990122,0.000070249,0.00010811563,0.0007815526,0.0000859497,0.00012412567,0.00003493233],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061511993,0.00037004094,0.47405267,0.00010400609,0.0012657015,0.0000013156342,0.008861349,0.0007057228,0.00041273618,0.31324223,0.02927264,0.17109649],"study_design_scores_gemma":[0.0013362126,0.00012966529,0.007483499,0.00011146094,0.000034538985,0.000031974134,0.0006434833,0.001381389,0.0020410724,0.16697316,0.81956446,0.0002690737],"about_ca_topic_score_codex":0.000008714245,"about_ca_topic_score_gemma":0.0000124192775,"teacher_disagreement_score":0.79029185,"about_ca_system_score_codex":0.00021754467,"about_ca_system_score_gemma":0.00008354189,"threshold_uncertainty_score":0.3159103},"labels":[],"label_agreement":null},{"id":"W2344345239","doi":"","title":"Why Has Wind Power Capacity Been Overinvested Under Uncertainty in China","year":2016,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Incentive; Wind power; Stock (firearms); Investment (military); Economics; Abandonment (legal); Business; Monetary economics; Market economy; Engineering; Geography","score_opus":0.03662015175983889,"score_gpt":0.2101005943859281,"score_spread":0.1734804426260892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344345239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95477456,0.022187877,0.000102866274,0.005270231,0.00028921204,0.00032487058,0.00022147577,0.000010935988,0.016817978],"genre_scores_gemma":[0.64639956,0.35178876,0.00024274329,0.0013940781,0.000031233343,0.000009145776,0.0000045567763,0.000024484792,0.00010542593],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980079,0.000020431657,0.0010914877,0.00052543683,0.000012630639,0.00034213575],"domain_scores_gemma":[0.9987334,0.00007180683,0.0006484683,0.0004635156,0.000018944902,0.000063851985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008493138,0.00023443917,0.0009476132,0.00014065776,0.000059351805,0.000038680784,0.00023897084,0.00012208766,0.00020905548],"category_scores_gemma":[0.00009533554,0.00022400767,0.00015252778,0.00012843151,0.00022248214,0.00035561365,0.00009265435,0.00010868083,0.000062636456],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066948,0.00021900794,0.038430013,0.0017748281,0.00010414771,0.0000034968023,0.00028541297,0.0012961379,0.000018785498,0.9295638,0.0041262624,0.024111146],"study_design_scores_gemma":[0.0015043283,0.00011943028,0.09229691,0.0028050588,0.000011822683,0.000012079224,0.000010630882,0.0016139179,0.000025838624,0.11192994,0.7888758,0.00079424353],"about_ca_topic_score_codex":0.00042194914,"about_ca_topic_score_gemma":0.0002436973,"teacher_disagreement_score":0.81763387,"about_ca_system_score_codex":0.00016939203,"about_ca_system_score_gemma":0.000046877532,"threshold_uncertainty_score":0.91347677},"labels":[],"label_agreement":null},{"id":"W2344433343","doi":"10.2478/jos-2020-0038","title":"Developing Land and Structure Price Indices for Ottawa Condominium Apartments","year":2020,"lang":"en","type":"article","venue":"Journal of Official Statistics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Statistics Canada","funders":"","keywords":"Apartment; Depreciation (economics); Stock (firearms); Real estate; Land price; Unit (ring theory); Business; Value (mathematics); Space (punctuation); Service (business); Decomposition; Price index; Agricultural economics; Economics; Finance; Econometrics; Geography; Computer science; Economic growth; Mathematics; Civil engineering; Statistics; Engineering; Marketing","score_opus":0.04359111781766025,"score_gpt":0.2490502035085133,"score_spread":0.20545908569085305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344433343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54750896,0.00054008304,0.44494215,0.001549298,0.0012278014,0.00027538772,0.0018613932,0.000010948793,0.0020839612],"genre_scores_gemma":[0.92603457,0.00025515456,0.07230982,0.0006968231,0.00064775156,9.220118e-7,0.000017808059,0.000022924718,0.000014238893],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989918,0.000008160126,0.0006863841,0.00012434783,0.000028960856,0.00016034706],"domain_scores_gemma":[0.9987704,0.00016933803,0.00084613235,0.00004072254,0.000063676234,0.000109740235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002628309,0.00010154999,0.00039706397,0.00007413288,0.000084834595,0.0000912782,0.00011415142,0.000067236855,0.00005329206],"category_scores_gemma":[0.00044727427,0.00010872679,0.00003925268,0.000061007206,0.00003354693,0.0001231334,0.000025653075,0.00011626575,0.000006067214],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019829657,0.00016866896,0.39115232,0.0009783854,0.0009928403,0.00008307394,0.006095356,0.0014170408,0.00009513048,0.5193011,0.04026846,0.037464626],"study_design_scores_gemma":[0.010493489,0.0016065047,0.06574398,0.000095003656,0.00015065531,0.00008300146,0.0004045124,0.0213897,0.00038837446,0.19223657,0.70615685,0.0012513319],"about_ca_topic_score_codex":0.0000072481075,"about_ca_topic_score_gemma":0.000024363662,"teacher_disagreement_score":0.6658884,"about_ca_system_score_codex":0.0000539836,"about_ca_system_score_gemma":0.00007466429,"threshold_uncertainty_score":0.44337496},"labels":[],"label_agreement":null},{"id":"W2344755761","doi":"10.1111/1540-6229.12160","title":"Real Estate and Consumption Growth as Common Risk Factors in Asset Pricing Models","year":2016,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université Laval","funders":"","keywords":"Real estate investment trust; Real estate; Capitalization rate; Capital asset pricing model; Economics; Financial economics; Risk–return spectrum; Index (typography); Investment (military); Portfolio; Equity (law); Consumption (sociology); Econometrics; Finance","score_opus":0.032299052709724954,"score_gpt":0.22605463620861405,"score_spread":0.1937555834988891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344755761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88244516,0.000012038664,0.00018709987,0.00012934579,0.00030838072,0.00023601753,0.00037580164,0.00007142197,0.11623474],"genre_scores_gemma":[0.77195066,0.22743832,0.0003194513,0.00001992075,0.000045406377,0.000012055447,0.00003764904,0.00006154501,0.00011501548],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974778,0.00004984283,0.0011061023,0.00074005325,0.00002057682,0.00060557167],"domain_scores_gemma":[0.9982831,0.00035866027,0.0007268166,0.0003893265,0.00001907992,0.00022304906],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00096589146,0.00034508525,0.0007500347,0.0004101623,0.00014534128,0.00016082924,0.00022644048,0.00021411049,0.00006600157],"category_scores_gemma":[0.000067659945,0.00035708293,0.0001075983,0.00008824224,0.00014857309,0.0010795967,0.00013039303,0.0002185096,0.0002643255],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010817643,0.00006301419,0.9226369,0.000040150688,0.000055408917,0.000007650253,0.0015128909,0.0018405803,0.000014393769,0.02409043,0.000045816374,0.049584553],"study_design_scores_gemma":[0.0053323805,0.00037444165,0.57004416,0.00012157037,0.00004885118,0.000034061806,0.00060706015,0.15842894,0.00032263578,0.25696903,0.005357755,0.0023591127],"about_ca_topic_score_codex":0.025250172,"about_ca_topic_score_gemma":0.0049174596,"teacher_disagreement_score":0.35259277,"about_ca_system_score_codex":0.0006239588,"about_ca_system_score_gemma":0.000053923915,"threshold_uncertainty_score":0.9998881},"labels":[],"label_agreement":null},{"id":"W2345999256","doi":"","title":"Geography and Realty Prices: Evidence from International Transaction-Level Data","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Investment (military); Monetary economics; Business; Database transaction; Real estate investment trust; Capital (architecture); Transaction data; Foreign direct investment; Capital flows; Variety (cybernetics); Institutional investor; Economics; Finance; Market economy; Geography","score_opus":0.14786319901081033,"score_gpt":0.32888662668981966,"score_spread":0.18102342767900934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2345999256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54648423,0.003037098,0.001703315,0.005509717,0.0057031717,0.0015321523,0.012392027,0.00015365919,0.42348462],"genre_scores_gemma":[0.7793582,0.21344586,0.0042238045,0.00016122547,0.0009662745,0.00015465144,0.0006827251,0.00013696073,0.0008703018],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9953956,0.00008692862,0.0014049743,0.0022418334,0.00009764989,0.00077301473],"domain_scores_gemma":[0.9956556,0.0010525428,0.0006278596,0.0023290263,0.00007251058,0.00026244673],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0036897426,0.00041517228,0.00088199566,0.001015617,0.00018688118,0.000507801,0.002307424,0.0006151966,0.0005813081],"category_scores_gemma":[0.00072180975,0.0004869322,0.00017301123,0.00011376467,0.0003996269,0.0008652794,0.0020119902,0.0012774363,0.00008783538],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000489422,0.00031377253,0.35542378,0.00029841225,0.00085182505,0.00003407038,0.0010191606,0.00089011155,0.000023051765,0.0025632058,0.0008345233,0.63725865],"study_design_scores_gemma":[0.003506244,0.0001685931,0.32617545,0.0021873843,0.000049663515,0.00002185526,0.0005678727,0.124232166,0.000046149788,0.15632847,0.38331413,0.0034020273],"about_ca_topic_score_codex":0.0014454424,"about_ca_topic_score_gemma":0.0012491943,"teacher_disagreement_score":0.63385665,"about_ca_system_score_codex":0.0007768026,"about_ca_system_score_gemma":0.0002536966,"threshold_uncertainty_score":0.99975824},"labels":[],"label_agreement":null},{"id":"W2346538013","doi":"","title":"What is Near and Recent in Crime for a Homeowner? The Cases of Denver and Seattle","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Mile; Measure (data warehouse); Nonparametric statistics; Order (exchange); Demographic economics; Economics; Econometrics; Criminology; Geography; Psychology; Finance; Computer science; Archaeology","score_opus":0.0659685960423705,"score_gpt":0.3041158917210482,"score_spread":0.2381472956786777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346538013","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9661437,0.003507345,0.0000049017085,0.0027246035,0.0007074069,0.0011482215,0.0003786936,0.000011098515,0.025373986],"genre_scores_gemma":[0.7523309,0.2459116,0.00032158077,0.00017485024,0.00013161296,0.00022254644,0.000017016,0.000073761286,0.00081612845],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99729437,0.00007326234,0.0010009648,0.0009466866,0.00003972169,0.00064502435],"domain_scores_gemma":[0.99752414,0.001124548,0.00038189348,0.00078432204,0.000057618465,0.00012746424],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0029468082,0.0002836347,0.00085071527,0.0004673551,0.00014116126,0.0004026601,0.00042938348,0.0003902584,0.000116263254],"category_scores_gemma":[0.00047162964,0.00026167324,0.00012640134,0.00009181846,0.00059745845,0.00029567708,0.0008488097,0.00057349156,0.000009341649],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005740168,0.00023061318,0.13767822,0.0008855301,0.00024292672,0.000017858623,0.004742216,0.00028416008,0.000013287269,0.0086200535,0.0004570639,0.84625405],"study_design_scores_gemma":[0.006604166,0.0006101706,0.090525515,0.0016437975,0.00003808515,0.00006801507,0.0042036185,0.053622346,0.00031794715,0.2004737,0.63937986,0.00251278],"about_ca_topic_score_codex":0.000231968,"about_ca_topic_score_gemma":0.00043896146,"teacher_disagreement_score":0.84374124,"about_ca_system_score_codex":0.00048004312,"about_ca_system_score_gemma":0.00019712347,"threshold_uncertainty_score":0.99998355},"labels":[],"label_agreement":null},{"id":"W2348295903","doi":"","title":"Theoretical and Empirical Studies on the Relationship between House Price Fluctuations and Financial Support","year":2014,"lang":"en","type":"article","venue":"Journal of Hunan Finance and Economics University","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Variance decomposition of forecast errors; Quarter (Canadian coin); Term (time); Financial market; Vector autoregression; Impulse response; Variance (accounting); Finance; Monetary economics; Econometrics","score_opus":0.053673264199451766,"score_gpt":0.23676455688750767,"score_spread":0.1830912926880559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2348295903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899346,0.00011850853,0.00024121394,0.0035146766,0.00015352678,0.00006352443,0.000018804882,0.0000067637916,0.005948362],"genre_scores_gemma":[0.99656,0.0025512425,0.00033346927,0.00032294146,0.0001331462,2.3120191e-7,7.2534556e-7,0.000011171455,0.00008708535],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991563,0.000035784567,0.0004209988,0.00020888184,0.000016060914,0.00016198895],"domain_scores_gemma":[0.9983682,0.0009243318,0.0004580584,0.00014007466,0.000030331776,0.000078978905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001201818,0.000121826764,0.0003910523,0.00016913019,0.00036107158,0.000059279737,0.00013312403,0.00009618304,0.000016319293],"category_scores_gemma":[0.00059827784,0.000115190975,0.0000632776,0.00007128034,0.00039862626,0.00030264063,0.00008835848,0.00024403313,0.000013732637],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049101833,0.000014384764,0.2611843,0.000008892529,0.000023037705,0.000001683281,0.00090115913,0.000028645842,1.5900679e-7,0.7364209,0.0004544964,0.00091320346],"study_design_scores_gemma":[0.0008465316,0.00039233954,0.655381,0.000029026745,0.000036610127,0.000026179292,0.000538072,0.0008634648,0.000005253306,0.3044159,0.03721806,0.0002475295],"about_ca_topic_score_codex":0.00000334608,"about_ca_topic_score_gemma":0.000010385698,"teacher_disagreement_score":0.43200502,"about_ca_system_score_codex":0.00008013312,"about_ca_system_score_gemma":0.000040650306,"threshold_uncertainty_score":0.46973518},"labels":[],"label_agreement":null},{"id":"W2349991970","doi":"","title":"The Spatial Effect of Building New Housing in Zhengzhou City——Based on the Spatial Econometrics Model","year":2014,"lang":"en","type":"article","venue":"Economic Geography","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Science North","funders":"","keywords":"Spatial econometrics; Econometrics; Spatial analysis; Spatial dependence; Spatial correlation; Real estate; Allowance (engineering); Spatial heterogeneity; Spillover effect; Goodness of fit; Dimension (graph theory); Economics; Statistics; Mathematics; Microeconomics; Finance","score_opus":0.01704955725536642,"score_gpt":0.19710498320314163,"score_spread":0.1800554259477752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2349991970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9343861,0.0001790675,0.027259858,0.0010510455,0.0012492883,0.0005259383,0.000051965086,0.000049404283,0.03524734],"genre_scores_gemma":[0.9986438,0.00015720597,0.0004610723,0.0002604349,0.0003375929,0.00003393479,0.000008297854,0.000063006955,0.000034609697],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973207,0.000099353165,0.0012235318,0.0006636721,0.00004467875,0.0006480308],"domain_scores_gemma":[0.99647665,0.0016374439,0.00082255475,0.0009123019,0.000013025697,0.00013800997],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0037326724,0.00037870396,0.000791733,0.0010129367,0.00033585608,0.00025102618,0.0007902333,0.00019045634,0.00015375462],"category_scores_gemma":[0.0003611674,0.00032230024,0.0004877154,0.00034013976,0.0001972673,0.00018688492,0.00012020325,0.00038135744,0.00011203637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025772382,0.00006360341,0.6214719,0.00003389551,0.00008999455,5.55888e-7,0.00012517834,0.29764068,0.000003981613,0.036626257,0.00051535113,0.043170854],"study_design_scores_gemma":[0.0015703456,0.0002531738,0.024777986,0.000029932597,0.000016006612,4.771053e-7,0.000011816905,0.9417402,0.00021255633,0.024922429,0.006015483,0.00044955747],"about_ca_topic_score_codex":0.0037917795,"about_ca_topic_score_gemma":0.0013128093,"teacher_disagreement_score":0.64409953,"about_ca_system_score_codex":0.0002244621,"about_ca_system_score_gemma":0.00007418011,"threshold_uncertainty_score":0.99992293},"labels":[],"label_agreement":null},{"id":"W2351824675","doi":"","title":"The Interaction of Household Assets and Consumption:Positive Test Based on Urban Quarter Data between1999 to 2009","year":2010,"lang":"en","type":"article","venue":"Zhongyang Caizheng Jinrong Xueyuan xuebao","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Consumption (sociology); Test (biology); Economics; Business; Agricultural economics; Geography; Sociology; Social science","score_opus":0.04259297469012396,"score_gpt":0.24730072778851525,"score_spread":0.2047077530983913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2351824675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9729416,0.00012039841,0.000625358,0.0014083534,0.0015062288,0.0004260839,0.0012475725,0.00008205866,0.021642393],"genre_scores_gemma":[0.99827176,0.000051168357,0.0006755854,0.00024954026,0.00030022487,0.000016263262,0.00010189241,0.000050874245,0.00028269173],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998226,0.000030293068,0.00064904185,0.00063252804,0.000076128425,0.0003860178],"domain_scores_gemma":[0.99744207,0.0008159586,0.0003717643,0.0011515981,0.000050107465,0.00016849383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013330322,0.00024634416,0.00039972202,0.00025312946,0.0003115172,0.00029459567,0.0005331873,0.00015327874,0.00009143647],"category_scores_gemma":[0.0005584917,0.00024365661,0.00007643426,0.00015740722,0.00014861756,0.0004559252,0.00015354807,0.00044447553,0.00022361697],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003046467,0.00042416883,0.912399,0.00009778361,0.000150096,0.00001057025,0.001018366,0.00036562,0.00055117905,0.014025629,0.0580563,0.012596645],"study_design_scores_gemma":[0.0024687224,0.00070312986,0.6822053,0.00024891816,0.00009027898,0.000021608872,0.00037876805,0.060043123,0.0016583294,0.0014564025,0.24921978,0.0015056428],"about_ca_topic_score_codex":0.0002808493,"about_ca_topic_score_gemma":0.0006537326,"teacher_disagreement_score":0.23019369,"about_ca_system_score_codex":0.00009409628,"about_ca_system_score_gemma":0.000036225745,"threshold_uncertainty_score":0.9936028},"labels":[],"label_agreement":null},{"id":"W2353235390","doi":"","title":"The Real Estate Development and Tax Levy in Vancouver, Canada","year":2004,"lang":"en","type":"article","venue":"Journal of Shanghai Polytechnic College of Urban Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Estate tax; Estate; Economics; Finance; Tax credit; Public economics; Tax avoidance","score_opus":0.010676719854069996,"score_gpt":0.18307178939711474,"score_spread":0.17239506954304473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2353235390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87776285,0.0017261567,0.00092889706,0.0031591319,0.0023720635,0.00064766797,0.00009330143,0.000016629423,0.113293305],"genre_scores_gemma":[0.98871493,0.006025676,0.003063467,0.00008544339,0.000052164094,0.000007683385,6.621467e-7,0.00002008435,0.0020298655],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984076,0.000008189452,0.0010832313,0.00015678965,0.00007810525,0.00026607796],"domain_scores_gemma":[0.99889314,0.00004083602,0.000755609,0.00019208265,0.00002593187,0.000092390095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010143786,0.00013238107,0.00036030504,0.00029414878,0.000100158635,0.000023584715,0.0003057639,0.000042979795,0.000012687312],"category_scores_gemma":[0.000023159073,0.00012415648,0.000057889025,0.00023403112,0.00005262048,0.0001288443,0.000119927296,0.00014123625,0.0000018103497],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011248598,0.0009854212,0.08706856,0.00085019576,0.0014242054,0.0015670107,0.0036126222,0.0057834755,0.000033800992,0.35551208,0.31692392,0.22511385],"study_design_scores_gemma":[0.003981821,0.00022231482,0.041138858,0.00025165468,0.000029533943,0.000026842403,0.0030279038,0.0003268261,0.00021547845,0.0130702155,0.93718356,0.000524971],"about_ca_topic_score_codex":0.017680231,"about_ca_topic_score_gemma":0.45100695,"teacher_disagreement_score":0.62025964,"about_ca_system_score_codex":0.0008727353,"about_ca_system_score_gemma":0.0002529599,"threshold_uncertainty_score":0.98886114},"labels":[],"label_agreement":null},{"id":"W2353566531","doi":"","title":"The Main Determinants of Chinese House Turnover and Price:An Analysis of Effects of the Policies on Housing Market","year":2012,"lang":"en","type":"article","venue":"Journal of Chongqing Technology and Business University","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Price elasticity of supply; Price index; House price; Monetary economics; Quarter (Canadian coin); Monetary policy; Per capita; Order (exchange); Simultaneous equations model; Supply and demand; Labour economics; Price elasticity of demand; Macroeconomics; Microeconomics; Finance; Econometrics","score_opus":0.006807949560397901,"score_gpt":0.190393859374901,"score_spread":0.1835859098145031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2353566531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986507,0.00052603026,0.00012374054,0.00018751805,0.00016999265,0.000046369318,0.0000071327922,0.000005410709,0.00028309788],"genre_scores_gemma":[0.9985943,0.0012268685,0.00012505411,0.000008757947,0.000018339388,4.919715e-8,7.483236e-8,0.0000068526606,0.000019726607],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993892,0.0000274066,0.00032939672,0.00008268251,0.000029848228,0.00014147136],"domain_scores_gemma":[0.99846625,0.00018501424,0.0010471498,0.0002082833,0.00006400798,0.00002926344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059164636,0.0000904095,0.00045627358,0.0005763049,0.00014069618,0.0000095288,0.0002523416,0.00012229917,0.0000028304296],"category_scores_gemma":[0.00024424566,0.00006448925,0.00009005962,0.0009425221,0.00034621923,0.0002463407,0.00012430419,0.00013774692,9.296627e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010495587,0.00007275626,0.9946295,0.000060166087,0.00016962715,0.0000017510615,0.00024923467,0.000051992272,0.0001343807,0.0030706169,0.000009134232,0.0014458688],"study_design_scores_gemma":[0.00039387352,0.000047463847,0.9964187,0.00006375921,0.00012833752,0.000010313988,0.00016385243,0.0004810126,0.0003876893,0.0015735663,0.00026049887,0.00007092384],"about_ca_topic_score_codex":0.000062432555,"about_ca_topic_score_gemma":0.00006195476,"teacher_disagreement_score":0.0017891924,"about_ca_system_score_codex":0.000038781036,"about_ca_system_score_gemma":0.00001768724,"threshold_uncertainty_score":0.2629795},"labels":[],"label_agreement":null},{"id":"W2354543302","doi":"","title":"A Study of Wealth Effect of China’s Real Estate Market: An Empirical Analysis Based on Provincial Panel Data","year":2010,"lang":"en","type":"article","venue":"Contemporary Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Panel data; Wealth effect; Cointegration; Consumption (sociology); Economics; China; Wealth elasticity of demand; Quarter (Canadian coin); National wealth; Permanent income hypothesis; Real estate investment trust; Empirical research; Demographic economics; Monetary economics; Econometrics; Finance; Macroeconomics; Life-cycle hypothesis; Geography; Monetary policy","score_opus":0.05933009947321315,"score_gpt":0.27736808535354296,"score_spread":0.2180379858803298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2354543302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95371306,0.000026065472,0.00007046357,0.000091079855,0.00032986276,0.0005795058,0.00080711726,0.000023906827,0.04435897],"genre_scores_gemma":[0.9986872,0.00053959654,0.0003046611,0.00004610149,0.000102305894,0.000023733695,0.00018846897,0.000041803185,0.00006614011],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972972,0.00008383262,0.0013014793,0.0009714535,0.000032660773,0.0003133252],"domain_scores_gemma":[0.99688166,0.00020136898,0.0011251045,0.0016377233,0.000022094913,0.00013203766],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024929892,0.00032207093,0.001408052,0.000513695,0.00011908676,0.00006467823,0.00067538314,0.00019182387,0.000058774494],"category_scores_gemma":[0.00010085165,0.00035363206,0.00015585292,0.00027519398,0.00016160081,0.00062226306,0.00018866039,0.00030497176,0.00000846436],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011549847,0.00076473446,0.98045987,0.000093229166,0.00022544317,0.000007049509,0.0008942573,0.0011051443,0.0000029920875,0.0004415001,0.0002745263,0.014576286],"study_design_scores_gemma":[0.003525695,0.0030848826,0.68841875,0.000014426047,0.00011993592,0.000001879792,0.00018214661,0.29953596,0.00003607945,0.0003231118,0.0041937646,0.0005633951],"about_ca_topic_score_codex":0.0029878041,"about_ca_topic_score_gemma":0.0026681486,"teacher_disagreement_score":0.2984308,"about_ca_system_score_codex":0.00004086032,"about_ca_system_score_gemma":0.00016298959,"threshold_uncertainty_score":0.9998916},"labels":[],"label_agreement":null},{"id":"W2359306992","doi":"","title":"The Research on the Rationality and the Factors Influencing China's Real Estate Price","year":2009,"lang":"en","type":"article","venue":"Commercial Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Quarter (Canadian coin); China; Economics; Rationality; House price; Land price; Capitalization rate; Econometrics; Financial economics; Monetary economics; Real estate investment trust; Agricultural economics; Finance; Geography","score_opus":0.2397569694680998,"score_gpt":0.3874515289186012,"score_spread":0.1476945594505014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2359306992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6722247,0.00008953442,0.0000076354845,0.028469155,0.00011124598,0.00036567127,0.000008420065,0.000010837053,0.29871282],"genre_scores_gemma":[0.9933217,0.0055121356,0.00000790287,0.00018863389,0.00019829482,0.00003201954,0.0000035374978,0.000014162957,0.0007215993],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99759567,0.00073627086,0.00042764988,0.0003391835,0.00021430268,0.00068693364],"domain_scores_gemma":[0.99356914,0.0054208427,0.00010317136,0.0006707463,0.00013681942,0.00009928579],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.023160484,0.0001202046,0.00022279874,0.00016864066,0.0034934836,0.00077450305,0.00082801864,0.00008478028,0.00006615702],"category_scores_gemma":[0.0031026255,0.00006755624,0.00007368202,0.00055217167,0.001023683,0.0001497842,0.00025460712,0.0012233681,0.00016051173],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039054264,0.000050420356,0.021215582,0.0000057736784,0.000022453347,0.0000012922064,0.004669569,0.00001880318,0.0000055063083,0.92843133,0.0070771957,0.038111538],"study_design_scores_gemma":[0.0005042854,0.000120199824,0.6830363,0.000011226415,0.0000012718772,7.4980915e-7,0.0012281762,0.0013375554,0.000027096266,0.22646712,0.08713373,0.0001322544],"about_ca_topic_score_codex":0.003202827,"about_ca_topic_score_gemma":0.00060013955,"teacher_disagreement_score":0.7019642,"about_ca_system_score_codex":0.00023266466,"about_ca_system_score_gemma":0.00010376101,"threshold_uncertainty_score":0.9978038},"labels":[],"label_agreement":null},{"id":"W2361315945","doi":"","title":"Demonstration Research on the Relations between Urban Inhabitants' Housing Prices and Consumption——Based on the Macroscopic Consumption Function of the Life Cycle Hypothesis","year":2008,"lang":"en","type":"article","venue":"Shanghai Caijing Daxue xuebao","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Life-cycle hypothesis; Economics; Quarter (Canadian coin); Consumption function; Function (biology); China; Wealth effect; Consumer spending; Microeconomics; Monetary economics; Macroeconomics; Production (economics); Geography; Sociology","score_opus":0.13561678047558248,"score_gpt":0.27098830813660907,"score_spread":0.13537152766102659,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2361315945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9866179,0.00023068431,0.0005839215,0.0024166065,0.00025052865,0.0005012477,0.00007632609,0.000035823214,0.0092869615],"genre_scores_gemma":[0.9989575,0.00012398222,0.00011669022,0.00035735586,0.00014658087,0.000040792736,0.000008180282,0.000030165962,0.00021872629],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99844533,0.00019454866,0.0005444756,0.00037177777,0.00012809927,0.00031575526],"domain_scores_gemma":[0.9968989,0.0020252871,0.00041127496,0.000550107,0.000052541734,0.00006188066],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0020409673,0.00016763732,0.000256003,0.00025249348,0.0013648963,0.00015334965,0.00026574935,0.0001476278,0.00015975174],"category_scores_gemma":[0.00084269024,0.00012062012,0.00009570621,0.00036542368,0.0005222826,0.0002177754,0.000065733155,0.00043536723,0.00020297435],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006250311,0.000069865775,0.9638278,0.000044806537,0.00006071284,5.757987e-7,0.00074693246,0.0012118093,0.00008603471,0.031693622,0.001346497,0.0008488646],"study_design_scores_gemma":[0.000549481,0.00013509048,0.9718029,0.00020831652,0.000038210812,0.0000018675685,0.00026933075,0.016794732,0.00039573913,0.007898885,0.0016273647,0.0002781094],"about_ca_topic_score_codex":0.00011188639,"about_ca_topic_score_gemma":0.00009948042,"teacher_disagreement_score":0.023794737,"about_ca_system_score_codex":0.00016150098,"about_ca_system_score_gemma":0.000079967765,"threshold_uncertainty_score":0.9999352},"labels":[],"label_agreement":null},{"id":"W2361468866","doi":"","title":"Real Estate Cycles:Measurement and Evaluation","year":2011,"lang":"en","type":"article","venue":"Economic management journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Business cycle; Real estate investment trust; Quarter (Canadian coin); Recession; Index (typography); Capitalization rate; Empirical research; Extant taxon; China; Business; Economics; Financial economics; Finance; Statistics; Mathematics; Geography; Macroeconomics; Computer science","score_opus":0.09380571126764588,"score_gpt":0.2360862541267603,"score_spread":0.1422805428591144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2361468866","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33263198,0.00007803193,0.00033646202,0.00009958123,0.00082600233,0.00018268952,0.000004885313,0.00002100681,0.66581935],"genre_scores_gemma":[0.9831788,0.013314789,0.0027824538,0.00006397705,0.00022684081,0.00002099248,0.0000032210178,0.00003420043,0.00037475943],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99849856,0.000030159708,0.00074655836,0.0003524679,0.000046622554,0.00032561552],"domain_scores_gemma":[0.99908566,0.0000083290215,0.00048425404,0.00024975382,0.000024519262,0.00014747218],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003724527,0.0001687123,0.00028108404,0.00030656424,0.00019747327,0.00018745566,0.00021164486,0.000052637424,0.0023244212],"category_scores_gemma":[0.000012161169,0.00020759556,0.000089185916,0.00003600849,0.0000467887,0.00041310416,0.0000919169,0.00013697715,0.0008060957],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018576196,0.0002189566,0.14860068,0.00010025126,0.00086764514,0.000043806416,0.004354141,0.0004841404,0.0000047542103,0.22727337,0.0064417305,0.61142474],"study_design_scores_gemma":[0.005450118,0.0002471459,0.36192742,0.00007015545,0.00017677186,0.00013743859,0.0015318047,0.046743065,0.00003399227,0.47893745,0.10333571,0.0014089422],"about_ca_topic_score_codex":0.00018943464,"about_ca_topic_score_gemma":0.00007375407,"teacher_disagreement_score":0.6654446,"about_ca_system_score_codex":0.0006088481,"about_ca_system_score_gemma":0.000025269645,"threshold_uncertainty_score":0.99997187},"labels":[],"label_agreement":null},{"id":"W2362719000","doi":"","title":"Empirical Research on Asymmetric Financial Accelerator Conduction Mechanism in China","year":2011,"lang":"en","type":"article","venue":"Zhongyang Caizheng Jinrong Xueyuan xuebao","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Shock (circulatory); Mechanism (biology); Economics; China; Financial accelerator; Crunch; Financial market; Financial system; Thermal conduction; Finance; Credit crunch; Business; Monetary economics; Monetary policy; Physics","score_opus":0.20272760905717704,"score_gpt":0.3233771206814189,"score_spread":0.12064951162424184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2362719000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7084517,0.00014290832,0.000262072,0.00024607874,0.0015107859,0.0003623937,0.000028786213,0.000108836255,0.28888646],"genre_scores_gemma":[0.99698097,0.00014499378,0.00076180807,0.0002486017,0.0004978571,0.00007710627,0.000017581548,0.00009725115,0.00117384],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9965321,0.00014154399,0.0009983162,0.0010567049,0.00017745428,0.0010938898],"domain_scores_gemma":[0.9985167,0.00014765369,0.00027695487,0.00071841484,0.00009340729,0.0002468696],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0037338708,0.00036452475,0.00070473866,0.0021209228,0.00035263624,0.0001925005,0.00059875054,0.00044027602,0.0007828588],"category_scores_gemma":[0.000851807,0.00043925695,0.00019898967,0.0016445318,0.00014536674,0.0006332177,0.00018052691,0.0010972936,0.002436337],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055509777,0.0016640913,0.16985498,0.00013897836,0.00010162533,0.0001989284,0.007930436,0.0001048879,0.00010952799,0.78139645,0.019332146,0.018612843],"study_design_scores_gemma":[0.0045146225,0.0012581818,0.6121967,0.00019246257,0.00002182311,0.000040864787,0.001105412,0.0041850265,0.004009456,0.30839452,0.06164864,0.0024322898],"about_ca_topic_score_codex":0.0014471976,"about_ca_topic_score_gemma":0.00050024723,"teacher_disagreement_score":0.47300196,"about_ca_system_score_codex":0.0009481344,"about_ca_system_score_gemma":0.0001430977,"threshold_uncertainty_score":0.9998059},"labels":[],"label_agreement":null},{"id":"W2365364656","doi":"","title":"A Study of Affordable Housing Policy Implementation in Toronto","year":2012,"lang":"en","type":"article","venue":"Journal of Fujian Commercial College","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Affordable housing; Rental housing; Government (linguistics); Business; Renting; Public housing; Low income housing; Product (mathematics); Local government; Finance; Rural housing; Public economics; Economic growth; Economics; Public administration; Rural area; Political science","score_opus":0.04266174394664105,"score_gpt":0.31202162452703514,"score_spread":0.26935988058039406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2365364656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96643394,0.00039641053,0.000053813903,0.00022130118,0.00058019074,0.0001850787,0.000029551777,0.0000032083994,0.032096528],"genre_scores_gemma":[0.99885154,0.00013518665,0.00034495583,0.00007710826,0.0005443281,0.000002585366,9.276309e-7,0.000018021785,0.000025319578],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99840295,0.00004207873,0.0011390459,0.00008515543,0.00004391353,0.0002868709],"domain_scores_gemma":[0.99877864,0.000046725632,0.0008994119,0.00013989759,0.00003860057,0.00009669931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014034748,0.000105097235,0.00050342665,0.0003649512,0.00005747464,0.000023786777,0.0001796117,0.000054395266,0.0002686514],"category_scores_gemma":[0.000055558026,0.0001228041,0.00009911592,0.00024247197,0.000015752534,0.00075440825,0.00004846691,0.0001183049,0.000008175187],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016867628,0.001013362,0.96249706,0.000018472416,0.000065725915,0.0000060043367,0.008176817,0.000038909577,0.000014565038,0.019573422,0.0012563781,0.007170597],"study_design_scores_gemma":[0.0065741697,0.001237655,0.92041993,0.000044621556,0.000031818057,0.000029258777,0.041104257,0.00009143912,0.00009882523,0.0030388962,0.02690395,0.00042515234],"about_ca_topic_score_codex":0.007221955,"about_ca_topic_score_gemma":0.015624958,"teacher_disagreement_score":0.042077113,"about_ca_system_score_codex":0.0007870471,"about_ca_system_score_gemma":0.00007661072,"threshold_uncertainty_score":0.99938905},"labels":[],"label_agreement":null},{"id":"W2367411572","doi":"","title":"Is Housing Investment a New Point of Growth? An Empirical Study of Liaoning Province","year":2015,"lang":"en","type":"article","venue":"Journal of Dongbei University of Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Quarter (Canadian coin); Economics; China; Pillar; Point (geometry); Economy; Market economy; Geography; Political science","score_opus":0.055816664691264055,"score_gpt":0.224304528647097,"score_spread":0.16848786395583293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2367411572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956611,0.0002627735,0.00042502495,0.0002917057,0.00016610573,0.00011564371,0.000019014744,0.0000032286669,0.0030554354],"genre_scores_gemma":[0.9947173,0.0010951477,0.003953252,0.00008019952,0.00005627832,4.3447777e-8,8.1023774e-7,0.000013061132,0.00008392412],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987003,0.000021008318,0.0008557889,0.00021978839,0.000033603792,0.0001694732],"domain_scores_gemma":[0.99756217,0.000036335918,0.0019067536,0.000222212,0.000113295806,0.00015921937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072870305,0.0001379179,0.000785977,0.00031437931,0.00005342812,0.000020456662,0.00029824124,0.00009709898,0.000015808033],"category_scores_gemma":[0.000041787134,0.00017675423,0.00012901779,0.00010532807,0.00011688138,0.0007920618,0.00010913253,0.00014519658,0.0000025666152],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009806367,0.0013264352,0.95316005,0.00012198757,0.0003211415,0.00002385719,0.026905917,0.0043011447,0.000018812003,0.006556756,0.0018386403,0.004444603],"study_design_scores_gemma":[0.04581813,0.026513161,0.61695486,0.00094464596,0.00070400187,0.00020557096,0.09488966,0.040059675,0.0020637019,0.11803183,0.050664432,0.0031503087],"about_ca_topic_score_codex":0.0009420596,"about_ca_topic_score_gemma":0.00031741112,"teacher_disagreement_score":0.33620518,"about_ca_system_score_codex":0.00015657747,"about_ca_system_score_gemma":0.0002795553,"threshold_uncertainty_score":0.7207828},"labels":[],"label_agreement":null},{"id":"W2368438732","doi":"","title":"Building property management of condominium apartment in Canada","year":2011,"lang":"en","type":"article","venue":"Urban Problems","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Apartment; Property management; Remuneration; Property (philosophy); Service (business); Shareholder; Marketization; Variety (cybernetics); Building management; Public relations; Accounting; Marketing; Finance; Corporate governance; Real estate; Law","score_opus":0.04173393048627032,"score_gpt":0.1774089790015266,"score_spread":0.1356750485152563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2368438732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53524894,0.00041830246,0.00035704835,0.00007044518,0.0005292408,0.0005217938,0.000023344011,0.000015881336,0.46281502],"genre_scores_gemma":[0.9960261,0.00015343072,0.0028132994,0.00005310843,0.000013816682,0.000044232725,0.0000027469773,0.000018526911,0.00087471004],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99879414,0.0000073195583,0.0006362549,0.0002654999,0.000022248894,0.00027455323],"domain_scores_gemma":[0.9994453,0.000009540739,0.00024120329,0.00024187868,0.000009139407,0.000052892414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000359899,0.00011355878,0.0003163941,0.00010425599,0.000023079323,0.000010324566,0.00019693193,0.000033445685,0.00032835922],"category_scores_gemma":[0.000004881365,0.00010965997,0.000040842384,0.000115670045,0.000024423536,0.00009563697,0.00006780765,0.0000699531,0.0000381878],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009345982,0.0002751074,0.7178639,0.00053575763,0.00018939882,0.000031919924,0.0016927705,0.00042706137,0.00002749589,0.26504123,0.0057329787,0.008088921],"study_design_scores_gemma":[0.012083114,0.00046205198,0.22393556,0.0008463439,0.000068040026,0.000015253392,0.0015180612,0.02096712,0.0047690175,0.14561774,0.5865859,0.0031318152],"about_ca_topic_score_codex":0.5263398,"about_ca_topic_score_gemma":0.24273154,"teacher_disagreement_score":0.5808529,"about_ca_system_score_codex":0.0004021201,"about_ca_system_score_gemma":0.00006712442,"threshold_uncertainty_score":0.77108663},"labels":[],"label_agreement":null},{"id":"W2371755599","doi":"","title":"The Development of Canadian Real Estate Industry and Its Enlightenment to China","year":2013,"lang":"en","type":"article","venue":"Journal of Guangzhou City Polytechnic","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Boom; China; Enlightenment; Business; Debt; Financial crisis; Real estate development; Real estate investment trust; Subprime crisis; Market development; Finance; Economy; Market economy; Economics; Political science; Engineering","score_opus":0.029041810869165217,"score_gpt":0.21618014119170192,"score_spread":0.1871383303225367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2371755599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96581167,0.00017472864,0.000048967686,0.0019318818,0.00023272392,0.00015828434,0.000009978,0.0000057300545,0.03162606],"genre_scores_gemma":[0.99583316,0.0018400407,0.0018538116,0.00007505101,0.00006770553,0.000005903686,4.9455605e-7,0.000015331392,0.00030850898],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9986206,0.0000102566,0.000891894,0.00012761087,0.000045952,0.00030365767],"domain_scores_gemma":[0.9988865,0.000034638517,0.000559298,0.00016495443,0.00005157798,0.00030301168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010116431,0.00011680942,0.0003081415,0.0005771096,0.00017756199,0.00007878333,0.00029442456,0.00014162157,0.000122048674],"category_scores_gemma":[0.000081121005,0.000101191814,0.000064503,0.0002529051,0.00003225341,0.00019077129,0.00006753562,0.0003100754,0.000049452265],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015341507,0.0002833933,0.19604339,0.000117145995,0.00061151147,0.000032443084,0.013979238,0.00020076252,0.0018093778,0.019825118,0.017423455,0.7495208],"study_design_scores_gemma":[0.00071951386,0.00027659102,0.79890805,0.000093115654,0.000017282655,0.00007889277,0.00066000805,0.00064119213,0.0031031342,0.004039867,0.19093896,0.0005233858],"about_ca_topic_score_codex":0.011151097,"about_ca_topic_score_gemma":0.01565933,"teacher_disagreement_score":0.7489974,"about_ca_system_score_codex":0.0002838713,"about_ca_system_score_gemma":0.00018110144,"threshold_uncertainty_score":0.99543375},"labels":[],"label_agreement":null},{"id":"W2372589081","doi":"","title":"Reverse Mortgage: Overseas Experience and the Feasibility Analysis in China","year":2014,"lang":"en","type":"article","venue":"Scientific Research on Aging","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Shared appreciation mortgage; China; Mortgage underwriting; Mortgage insurance; Business; Longevity risk; Endowment; Actuarial science; Finance; Political science; Pension","score_opus":0.12572261008464883,"score_gpt":0.3606551884401038,"score_spread":0.23493257835545497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2372589081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8993387,0.000059473907,0.00030743986,0.0010769943,0.0002876409,0.00021052686,0.0000074855743,0.0000136238305,0.09869808],"genre_scores_gemma":[0.9977768,0.000063344145,0.00009454647,0.000063353094,0.00003589539,0.000017825409,0.000003895695,0.000008033888,0.0019362814],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980404,0.00023434403,0.0003805473,0.00074602966,0.00012075347,0.0004779515],"domain_scores_gemma":[0.99866426,0.00029520443,0.00010082243,0.00079836143,0.0000329785,0.000108363885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019087365,0.00009419585,0.0003052777,0.0009605434,0.0005929213,0.00070250663,0.00039145688,0.000041384024,0.00026699642],"category_scores_gemma":[0.0011889535,0.00008166151,0.00010107616,0.0018559536,0.00096443854,0.0002574374,0.00019289697,0.00035575713,0.0001330777],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012916395,0.0001038892,0.7581477,0.00003166128,0.000048812493,0.00000472914,0.007841521,0.0013689798,0.000026054751,0.22707546,0.0011829291,0.0040390794],"study_design_scores_gemma":[0.0020553432,0.000040776755,0.6066867,0.00003230242,0.000010766727,0.0000011238176,0.0015576957,0.2685635,0.000056901237,0.08999577,0.030634474,0.000364614],"about_ca_topic_score_codex":0.0008343888,"about_ca_topic_score_gemma":0.00039285354,"teacher_disagreement_score":0.2671945,"about_ca_system_score_codex":0.00017054794,"about_ca_system_score_gemma":0.000022934242,"threshold_uncertainty_score":0.6774287},"labels":[],"label_agreement":null},{"id":"W2376288337","doi":"","title":"Exploration of Improving Managerial System of Public Accumulation Fund for Housing Construction","year":2010,"lang":"en","type":"article","venue":"Journal of Honghe University","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Zoning; Finance; Sovereign wealth fund; Public fund; Fund administration; Quarter (Canadian coin); Distribution (mathematics); Target date fund; Management fee; Investment fund; Public administration; Economics; Public economics; Open-end fund; Law; Incentive; Institutional investor; Corporate governance; Political science; Market economy","score_opus":0.0835093709182313,"score_gpt":0.22289172517287192,"score_spread":0.13938235425464063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2376288337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89011866,0.000009666709,0.10566841,0.00005720274,0.0012102072,0.00007851513,0.000021519732,0.0000055307637,0.002830278],"genre_scores_gemma":[0.991254,0.000020834685,0.008526078,0.0000013822089,0.00016336728,5.4821108e-8,0.000002702532,0.000006531298,0.000025089606],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993455,0.00001290696,0.00044730667,0.0000829419,0.000023938892,0.00008742991],"domain_scores_gemma":[0.99814224,0.000047679932,0.0015240674,0.00009613339,0.0001527834,0.000037077585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000775221,0.000054860822,0.00026056622,0.00035897887,0.00007559228,0.000025504354,0.00011415137,0.00007908022,0.000015786069],"category_scores_gemma":[0.000083485196,0.00006938404,0.00012143405,0.000107084714,0.000049329916,0.0011169189,0.000023178254,0.000089682646,0.0000011362123],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016096353,0.0003319312,0.21626538,0.0012848218,0.0005010538,0.000012020183,0.002100197,0.0051214783,0.024176711,0.66353303,0.00037248572,0.08469128],"study_design_scores_gemma":[0.05164834,0.0042387815,0.18585391,0.0009659831,0.001242865,0.0003465934,0.065464064,0.43135133,0.037972428,0.07461364,0.14217581,0.0041262326],"about_ca_topic_score_codex":0.000046190213,"about_ca_topic_score_gemma":0.000040391486,"teacher_disagreement_score":0.5889194,"about_ca_system_score_codex":0.00010665529,"about_ca_system_score_gemma":0.00004103212,"threshold_uncertainty_score":0.28293988},"labels":[],"label_agreement":null},{"id":"W2377182813","doi":"","title":"Causes for Return Volatility in Chinese Housing Markets Based on Dynamic Gordon Model","year":2013,"lang":"en","type":"article","venue":"Journal of Tongji University","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Economics; Renting; Interest rate; Vector autoregression; Financial economics; Econometrics; Quarter (Canadian coin); Monetary economics; Real gross domestic product; Geography","score_opus":0.015416976167402003,"score_gpt":0.19987250396666795,"score_spread":0.18445552779926594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2377182813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9797756,0.00002590315,0.009933305,0.00055932824,0.00024912253,0.00015728298,0.000031362142,0.000008681152,0.009259398],"genre_scores_gemma":[0.9962674,0.000062268766,0.0032173684,0.000097424825,0.000032977794,2.578615e-7,0.000002567944,0.000014110485,0.0003056414],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991463,0.000021128284,0.00041655905,0.00018031664,0.000029195,0.00020652475],"domain_scores_gemma":[0.99905044,0.000108774475,0.0005048903,0.00018077344,0.00006738394,0.00008771511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067208055,0.00012460646,0.00038085197,0.00043195588,0.00008699025,0.000045147593,0.00022145445,0.000101724305,0.00011566941],"category_scores_gemma":[0.00014042671,0.00013983289,0.00018693054,0.00014084212,0.000032782835,0.0005377076,0.000030324467,0.00019749119,0.000010236609],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014860498,0.00051126693,0.9280344,0.00011512151,0.00008212605,0.00003256729,0.00046046905,0.061871283,0.00007359976,0.0010166989,0.0019900936,0.004326317],"study_design_scores_gemma":[0.0011075566,0.000068662266,0.124185115,0.000025740474,0.0000060456023,0.0000014772519,0.000051598632,0.8686334,0.00000382096,0.0048787384,0.00089426764,0.00014359584],"about_ca_topic_score_codex":0.00015731233,"about_ca_topic_score_gemma":0.00024854642,"teacher_disagreement_score":0.8067621,"about_ca_system_score_codex":0.00056156924,"about_ca_system_score_gemma":0.00006293464,"threshold_uncertainty_score":0.57022196},"labels":[],"label_agreement":null},{"id":"W2379055323","doi":"","title":"Construction and Empirical Study on FCI on the Basis of Variable Parameters","year":2014,"lang":"en","type":"article","venue":"Tongji yu xinxi luntan","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Econometrics; Economics; Variable (mathematics); Real estate; Interest rate; Price index; Money supply; Financial economics; Mathematics; Macroeconomics; Finance","score_opus":0.040153683519005244,"score_gpt":0.2340923408861583,"score_spread":0.19393865736715304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2379055323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8649723,0.000009638211,0.00034667423,0.0005475149,0.00032529043,0.00020369973,0.000019041978,0.000020027632,0.13355581],"genre_scores_gemma":[0.99871314,0.000025364183,0.0005529124,0.00046053264,0.00006046152,0.000013229082,0.0000024916123,0.000019723773,0.00015214273],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99895424,0.00005260371,0.00042411344,0.00033665242,0.000033630266,0.00019878396],"domain_scores_gemma":[0.9989612,0.00033191373,0.00022854327,0.00040572637,0.000013428235,0.000059151684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095434685,0.00014196015,0.00034952437,0.00013234638,0.00012576938,0.00006120447,0.00015076471,0.00007687235,0.00023555284],"category_scores_gemma":[0.00017271635,0.00012619402,0.000056440043,0.00013823574,0.00011444498,0.00007574089,0.000040163723,0.00014894368,0.00013103259],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016792782,0.00040380267,0.7913771,0.000022109678,0.00013179018,0.000001014834,0.0011638823,0.0003048584,0.000014793336,0.1929991,0.0015369455,0.01187667],"study_design_scores_gemma":[0.006410932,0.005883238,0.6949796,0.00014574583,0.00015364359,0.000032309577,0.0055367234,0.023007078,0.0023485005,0.16920766,0.09017723,0.002117306],"about_ca_topic_score_codex":0.00017409367,"about_ca_topic_score_gemma":0.00002141657,"teacher_disagreement_score":0.13374084,"about_ca_system_score_codex":0.00006436036,"about_ca_system_score_gemma":0.000010552039,"threshold_uncertainty_score":0.5146043},"labels":[],"label_agreement":null},{"id":"W2379323832","doi":"","title":"The Influencing Factors and Rationality Research on Real Estate Pricing in China","year":2008,"lang":"en","type":"article","venue":"Caijing lilun yu shijian","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; China; Quarter (Canadian coin); Economics; Rationality; Empirical research; House price; Econometrics; Economic bubble; Land price; Price index; Financial economics; Microeconomics; Macroeconomics; Agricultural economics; Finance; Statistics; Mathematics; Geography","score_opus":0.10777927296345578,"score_gpt":0.2925759274749039,"score_spread":0.1847966545114481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2379323832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8819159,0.00006170188,0.000013715855,0.00042367532,0.00018843992,0.00013982259,0.000007840589,0.000024883379,0.11722399],"genre_scores_gemma":[0.9970322,0.0024343096,0.000077649216,0.0000395223,0.000093440416,0.000010216013,0.000006313404,0.000023817029,0.00028252832],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99850005,0.00006981863,0.0005148502,0.00038855354,0.00005743406,0.00046931914],"domain_scores_gemma":[0.99896365,0.00045833446,0.00014867522,0.00030723884,0.00002243934,0.00009963527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025141262,0.00013924182,0.0002488753,0.00027858428,0.0008314805,0.00016941359,0.00020283627,0.00009396446,0.00001673161],"category_scores_gemma":[0.00046517001,0.00012852548,0.00004600406,0.0003017597,0.00018717727,0.0002571728,0.00008487212,0.00043800322,0.000050779458],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027979395,0.000023842123,0.96482617,0.000014622654,0.000010267454,0.000009466204,0.00872983,0.00046870793,0.000011994277,0.02168922,0.000080057776,0.0041078622],"study_design_scores_gemma":[0.00028785595,0.000044766286,0.9826827,0.00002644387,7.899539e-7,0.000004077019,0.00057887874,0.0025813256,0.00004221617,0.005553099,0.008003788,0.00019406868],"about_ca_topic_score_codex":0.004289264,"about_ca_topic_score_gemma":0.0011243938,"teacher_disagreement_score":0.11694146,"about_ca_system_score_codex":0.00034541177,"about_ca_system_score_gemma":0.00005776622,"threshold_uncertainty_score":0.6484112},"labels":[],"label_agreement":null},{"id":"W2380208035","doi":"","title":"Further Discussion on the Relationship between House Prices and Land Prices——Comparative Empirical Research Based on the Data of Jinan and Qingdao","year":2010,"lang":"en","type":"article","venue":"Journal of Qingdao Technical College","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); House price; Land price; Agricultural economics; Economics; Econometrics; Empirical research; Economy; Geography; Statistics; Mathematics","score_opus":0.35438020547660737,"score_gpt":0.3934004546118395,"score_spread":0.03902024913523211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2380208035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96533257,0.00006759493,0.00016503508,0.027738305,0.000098680975,0.0002833437,0.00009003686,0.000012341278,0.0062121064],"genre_scores_gemma":[0.9987261,0.00003654357,0.00084535603,0.0001396563,0.00017289509,0.0000046864297,0.0000018022564,0.000021637534,0.00005129139],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99846846,0.00012786708,0.0007467089,0.00028731875,0.00014334211,0.00022632431],"domain_scores_gemma":[0.9935618,0.004973075,0.0006563603,0.0006350398,0.00006753729,0.00010617767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069909277,0.00013987368,0.0004420168,0.0003042273,0.00036299264,0.00011681496,0.0006886648,0.00016898608,0.000038161703],"category_scores_gemma":[0.0024826052,0.00007280417,0.000068720154,0.0003540323,0.00042169343,0.00022204981,0.0002393986,0.0012956752,0.00001117336],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003742371,0.00026347765,0.9145389,0.00003558553,0.000049768358,0.0000057346197,0.0005618767,0.000026142367,0.00006859773,0.07524765,0.008326347,0.00050167437],"study_design_scores_gemma":[0.0009412403,0.00077287713,0.9179316,0.00017869085,0.000028164084,0.00001534616,0.00036757573,0.0035740002,0.000104768806,0.049306374,0.026531952,0.00024741903],"about_ca_topic_score_codex":0.000016221366,"about_ca_topic_score_gemma":0.00006557684,"teacher_disagreement_score":0.033393577,"about_ca_system_score_codex":0.00004857412,"about_ca_system_score_gemma":0.000068905625,"threshold_uncertainty_score":0.5629136},"labels":[],"label_agreement":null},{"id":"W2383130549","doi":"","title":"A Test of China' s Commercial Banks under the Falling Housing Price Pressure Based on CGE Model","year":2015,"lang":"en","type":"article","venue":"Contemporary Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Falling (accident); Quarter (Canadian coin); Economics; Order (exchange); Financial crisis; China; Computable general equilibrium; Financial market; Finance; Monetary economics; Macroeconomics","score_opus":0.07080430892765013,"score_gpt":0.2196670192484898,"score_spread":0.14886271032083967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2383130549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87327206,0.0017430208,0.0063865674,0.0018097918,0.00045313145,0.00040021667,0.00027519788,0.000045418998,0.11561459],"genre_scores_gemma":[0.99714947,0.0005121928,0.00076917355,0.0010467061,0.00014111245,0.000020299198,0.000021508164,0.00005395818,0.00028555468],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982696,0.00002084175,0.0008327251,0.00051124516,0.000027299753,0.00033824664],"domain_scores_gemma":[0.99843675,0.00018350304,0.0006652355,0.0005739997,0.000033403456,0.00010713602],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010606172,0.0002837384,0.0006483766,0.0001491913,0.00020198563,0.00012731711,0.0003695951,0.00018664196,0.00001201411],"category_scores_gemma":[0.00008241566,0.00028996626,0.00013574454,0.00011027681,0.00018868018,0.0004567892,0.00008318754,0.0002684553,0.00003315283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005534921,0.00047709577,0.18196304,0.00015300667,0.0001178947,0.000004122126,0.0018290278,0.70242685,0.0000066309167,0.10052764,0.0053423857,0.0065988335],"study_design_scores_gemma":[0.0016644221,0.00020126671,0.018254742,0.000056894976,0.000013942832,0.0000020847642,0.00011288014,0.9407522,0.0000553213,0.016589396,0.021798935,0.0004979348],"about_ca_topic_score_codex":0.00022057391,"about_ca_topic_score_gemma":0.00005157712,"teacher_disagreement_score":0.23832536,"about_ca_system_score_codex":0.000084691645,"about_ca_system_score_gemma":0.00020284984,"threshold_uncertainty_score":0.99995524},"labels":[],"label_agreement":null},{"id":"W2383950487","doi":"","title":"Analysis of the Real Estate Industry's Influence on the Economic Growth and Consumption Level in Yunnan Province","year":2012,"lang":"en","type":"article","venue":"Journal of Kunming University of Science and Technology","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Economics; Cointegration; Vector autoregression; Johansen test; Investment (military); Granger causality; Consumption (sociology); Quarter (Canadian coin); Real gross domestic product; Error correction model; Monetary economics; Econometrics; Finance; Geography","score_opus":0.02744122311576325,"score_gpt":0.20429079696577865,"score_spread":0.1768495738500154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2383950487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971647,0.000023162816,0.000013551718,0.0010011349,0.000048911646,0.000036788224,0.0000069825815,0.0000016959931,0.0017030598],"genre_scores_gemma":[0.9988622,0.0009963146,0.00010785247,0.00001606208,0.000003920038,3.2248312e-8,4.2916316e-8,0.0000014122903,0.000012165867],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995093,0.000009486747,0.00022714614,0.000096256874,0.000029082054,0.00012873067],"domain_scores_gemma":[0.99917746,0.000060056413,0.000580678,0.000113737304,0.000037473437,0.000030624364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001177475,0.000046925907,0.0002116981,0.00082331354,0.00012684197,0.000010815929,0.00031208424,0.00008474883,0.0000065285612],"category_scores_gemma":[0.00013240112,0.00003907963,0.000029832734,0.00051513035,0.0013422598,0.0003602593,0.00010500494,0.00020151095,7.125194e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011261106,0.000014747412,0.9735838,0.000005572323,0.00002655933,5.4226757e-7,0.00052572886,0.0001251542,0.00023155405,0.023301704,0.000004020507,0.00216931],"study_design_scores_gemma":[0.00021940755,0.000057786463,0.9947822,0.000026514614,0.000034677643,0.000006815972,0.0014285442,0.0014288824,0.00059165654,0.0011348982,0.00022411333,0.00006446873],"about_ca_topic_score_codex":0.00048581313,"about_ca_topic_score_gemma":0.00020250211,"teacher_disagreement_score":0.022166805,"about_ca_system_score_codex":0.00011213102,"about_ca_system_score_gemma":0.000096664524,"threshold_uncertainty_score":0.49456123},"labels":[],"label_agreement":null},{"id":"W2385881129","doi":"","title":"An Empirical Analysis of Long-term Memory Fluctuation Rate of Housing Price","year":2013,"lang":"en","type":"article","venue":"Journal of Northeastern University","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Quarter (Canadian coin); Economics; House price; Long memory; Term (time); Heteroscedasticity; Econometrics; Price index; Financial economics; Monetary economics; Finance","score_opus":0.027794706625323216,"score_gpt":0.22775808114657706,"score_spread":0.19996337452125384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2385881129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880015,0.000032484877,0.008992294,0.00007429271,0.000119375574,0.00005248646,0.00001551653,0.000003731069,0.0027082772],"genre_scores_gemma":[0.9993878,0.00007226176,0.00040047875,0.000021037135,0.00003949548,2.8630282e-8,0.0000042333454,0.0000072845005,0.00006737791],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99909455,0.000044292752,0.0005799966,0.00012668087,0.000034075005,0.000120399076],"domain_scores_gemma":[0.9981516,0.00004997455,0.0013408697,0.00019599714,0.00016769125,0.0000938703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054863136,0.00008372809,0.00051668106,0.0007561519,0.000043795808,0.000021083883,0.00023889515,0.000066145614,0.00031276056],"category_scores_gemma":[0.00002465404,0.00009646895,0.00024783472,0.00040220388,0.000056643228,0.00066721346,0.000027882399,0.00009890737,0.000012974676],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007749886,0.00012722309,0.9917942,0.000019350946,0.00041120252,0.0000065968707,0.00065961684,0.0031903298,0.00012476977,0.00006715528,0.000008883977,0.0035131276],"study_design_scores_gemma":[0.00043546685,0.00010836055,0.98538184,0.000013667666,0.00017946532,0.0000030931672,0.000299,0.013214534,0.00007559402,0.0001475287,0.000041067895,0.000100352845],"about_ca_topic_score_codex":0.00023531096,"about_ca_topic_score_gemma":0.00016053343,"teacher_disagreement_score":0.011386261,"about_ca_system_score_codex":0.00010795574,"about_ca_system_score_gemma":0.000038929666,"threshold_uncertainty_score":0.39338896},"labels":[],"label_agreement":null},{"id":"W2388472216","doi":"","title":"Real Estate Price's and Food Price's Effects on Inflation——Based on the Empirical Research of VAR Model","year":2014,"lang":"en","type":"article","venue":"Journal of Liaoning Shihua University","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Inflation (cosmology); Economics; Real estate; Quarter (Canadian coin); Producer price index; Deflation; Monetary economics; Econometrics; Order (exchange); Wholesale price index; Food prices; Price level; Price on application; Mid price; Price index; Financial economics; Macroeconomics; Monetary policy; Real estate investment trust; Cost approach; Finance; Food security; Agriculture","score_opus":0.10323077715594813,"score_gpt":0.2749873925781913,"score_spread":0.1717566154222432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2388472216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9083603,0.0000043527534,0.0027650793,0.0011823092,0.00009011341,0.00008066648,0.000006131347,0.000005997305,0.08750507],"genre_scores_gemma":[0.998427,0.00018352916,0.0011185696,0.00007801526,0.00007457274,1.3548478e-7,6.0749835e-7,0.000011306588,0.00010631731],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990814,0.0001300429,0.00032404898,0.00016756926,0.000088761495,0.0002081927],"domain_scores_gemma":[0.9978421,0.0012395189,0.0005133591,0.00020698356,0.00010026923,0.00009781796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002923401,0.00009657816,0.00029795646,0.00044704572,0.00022953993,0.000046078054,0.00025272954,0.00009003066,0.000012946859],"category_scores_gemma":[0.00047604638,0.00008924119,0.000095639356,0.00022403678,0.00009229184,0.00018617381,0.000059126414,0.00042750945,0.000009503938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025134569,0.00082163303,0.52871484,0.00037323288,0.00040242923,0.000039338636,0.011293769,0.19072779,0.00016667531,0.24460866,0.0045366217,0.015801556],"study_design_scores_gemma":[0.0033279357,0.0034670501,0.19821937,0.0002970811,0.00003624554,0.0000062041927,0.000513139,0.7592074,0.00032096927,0.018465325,0.015717885,0.0004213428],"about_ca_topic_score_codex":0.000030743966,"about_ca_topic_score_gemma":0.000008189851,"teacher_disagreement_score":0.56847966,"about_ca_system_score_codex":0.00020630973,"about_ca_system_score_gemma":0.00007951695,"threshold_uncertainty_score":0.363915},"labels":[],"label_agreement":null},{"id":"W2388556937","doi":"10.3386/w22254","title":"Ownership and the Price of Residential Electricity: Evidence from the United States, 1935-1940","year":2016,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Electricity; Business; Agricultural economics; Commerce; Economics; Engineering; Electrical engineering","score_opus":0.33227237116982217,"score_gpt":0.42441064924097677,"score_spread":0.0921382780711546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2388556937","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13304843,0.023360183,0.00023868174,0.022346277,0.0021698882,0.0025721656,0.0022795072,0.000043279397,0.8139416],"genre_scores_gemma":[0.9053439,0.08774646,0.00008702084,0.000108811735,0.0014119028,0.000089898895,0.00039129207,0.000077349956,0.0047433716],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9962242,0.00034928904,0.0017465393,0.0007391781,0.00041599415,0.00052474946],"domain_scores_gemma":[0.9857214,0.010981933,0.0016203852,0.00072157534,0.000858744,0.000095966214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019274935,0.00027811498,0.0009763156,0.0009162795,0.00029575513,0.00018550474,0.0012444828,0.0003930607,0.00068154547],"category_scores_gemma":[0.006842513,0.00019223448,0.00026412384,0.0004010562,0.0012698998,0.00028350082,0.00040822482,0.0008209918,0.00016834277],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014678561,0.000096014,0.023493752,0.00030957762,0.0012962559,0.000003286119,0.0010676731,0.0004639491,0.000019800624,0.7906853,0.178139,0.002957549],"study_design_scores_gemma":[0.0014810995,0.000084784646,0.004581034,0.00035291427,0.00003526844,0.000008096045,0.0000892605,0.0030302238,0.000081160106,0.89644486,0.09345318,0.00035810683],"about_ca_topic_score_codex":0.04012117,"about_ca_topic_score_gemma":0.0011399386,"teacher_disagreement_score":0.8091982,"about_ca_system_score_codex":0.0012631736,"about_ca_system_score_gemma":0.0016135887,"threshold_uncertainty_score":0.96627074},"labels":[],"label_agreement":null},{"id":"W2393439074","doi":"","title":"Housing Investment and Local Economic Growth——Based on the Empirical Research into the 1999-2012 Data of Hunan Province","year":2013,"lang":"en","type":"article","venue":"Journal of Hunan Institute of Engineering","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Variance decomposition of forecast errors; Investment (military); Real estate; Gross private domestic investment; Economics; Lag; Investment function; Impulse response; Quarter (Canadian coin); Real gross domestic product; Granger causality; Monetary economics; Econometrics; Macroeconomics; Return on investment; Open-ended investment company; Finance; Geography; Mathematics","score_opus":0.116561955537366,"score_gpt":0.2820233335559758,"score_spread":0.16546137801860983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2393439074","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869697,0.0007203932,0.0044945534,0.0025431924,0.00066560425,0.0002521192,0.000015451547,0.000007012887,0.0043319506],"genre_scores_gemma":[0.99716973,0.00029492262,0.0021929732,0.00012255112,0.00017685756,0.000004106935,0.0000021944493,0.000022664282,0.000013980456],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985234,0.000028123619,0.00090128486,0.00020787567,0.00008114099,0.000258142],"domain_scores_gemma":[0.9985048,0.00028945276,0.00049794215,0.00054611685,0.00006505101,0.00009663986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024616155,0.0001432472,0.00040708948,0.00034511485,0.00011974248,0.00009474004,0.00075469224,0.000076283955,0.000037371057],"category_scores_gemma":[0.00033182424,0.00010556178,0.000081993996,0.00013694739,0.00031901573,0.00071745674,0.00022451903,0.0004049281,0.000015163798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059786224,0.0009253613,0.082589775,0.0013786276,0.0010142374,0.000047408616,0.005930855,0.43941662,0.0011983117,0.39529207,0.029580323,0.042028543],"study_design_scores_gemma":[0.0015581938,0.00086527795,0.018324198,0.0005744433,0.00004159658,0.000033248576,0.0005701323,0.85871893,0.0014716821,0.010203222,0.10705938,0.0005797152],"about_ca_topic_score_codex":0.00052952964,"about_ca_topic_score_gemma":0.00009305793,"teacher_disagreement_score":0.41930228,"about_ca_system_score_codex":0.00020253706,"about_ca_system_score_gemma":0.00016721096,"threshold_uncertainty_score":0.43046847},"labels":[],"label_agreement":null},{"id":"W2400798902","doi":"10.5539/ijef.v8n6p231","title":"An Empirical Study on the Characteristics of K-REITs","year":2016,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate investment trust; Portfolio; Financial economics; Volatility (finance); Business; Bond; Real estate; Economics; Monetary economics; Finance","score_opus":0.042561634231434164,"score_gpt":0.26595109813017853,"score_spread":0.22338946389874437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2400798902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99315363,0.00004833371,0.00021457598,0.0028227605,0.00088860706,0.00006448539,0.00008338526,0.0000017929729,0.0027223998],"genre_scores_gemma":[0.99677646,0.0025134967,0.000108933644,0.0002435223,0.00027939433,0.0000019503061,6.644917e-7,0.0000127423355,0.00006280518],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988383,0.000016538259,0.0008458488,0.00016553544,0.000023750279,0.000110010755],"domain_scores_gemma":[0.99850464,0.0001615768,0.0010183189,0.00018820174,0.00009112711,0.000036159116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080655585,0.00010194423,0.00032334623,0.00014693267,0.000037056998,0.000059966893,0.00044719214,0.00004728497,0.00005104605],"category_scores_gemma":[0.00011516084,0.00007197358,0.00008565091,0.000028225806,0.00007790815,0.00026420047,0.000043977056,0.00009246939,0.000024128201],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005181856,0.00091905444,0.5670616,0.0000036701542,0.00032252714,0.000021664568,0.0011984862,0.00022540499,0.000043309603,0.3629851,0.0005103717,0.06619063],"study_design_scores_gemma":[0.0028613894,0.0016978427,0.8171544,0.00009792407,0.00001773488,0.00007350884,0.0003048326,0.00379365,0.00027575824,0.09123446,0.08203172,0.0004567584],"about_ca_topic_score_codex":0.000008119812,"about_ca_topic_score_gemma":0.0000061329915,"teacher_disagreement_score":0.27175063,"about_ca_system_score_codex":0.00006582944,"about_ca_system_score_gemma":0.000029455598,"threshold_uncertainty_score":0.29349977},"labels":[],"label_agreement":null},{"id":"W2404372679","doi":"10.14288/1.0097581","title":"Rental price adjustment in the Canadian office market","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Renting; Economics; Business; Labour economics; Engineering","score_opus":0.009738642481144564,"score_gpt":0.15130658464974786,"score_spread":0.1415679421686033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2404372679","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76459223,0.00005025003,0.000009574367,0.00021753003,0.0003275554,0.00013622887,0.00015335748,0.0000097293105,0.23450355],"genre_scores_gemma":[0.99856436,0.00012682905,0.00020714171,0.00014502942,0.000044765926,5.739891e-7,0.000014358565,0.000009541684,0.00088739756],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923664,0.000017016884,0.0001665444,0.0002760556,0.000031580144,0.00027214555],"domain_scores_gemma":[0.99942225,0.00003623611,0.00013115624,0.00028205544,0.00002195395,0.00010633932],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006430444,0.000036388454,0.00019914118,0.00009242113,0.00020668308,0.00012129252,0.00043314477,0.000116691364,0.0011522169],"category_scores_gemma":[0.000037382873,0.00012515418,0.00007866806,0.0002037752,0.00012978543,0.00021482924,0.000047963535,0.00023349767,0.00014043198],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028898074,0.00036790693,0.61800784,0.00007777956,0.00006256629,0.00020008635,0.001652701,0.000014866111,0.0000144574815,0.00094382215,0.06424024,0.31438884],"study_design_scores_gemma":[0.0004182156,0.000017055325,0.96928513,0.000010751154,0.0000034710154,0.000024541494,0.000492275,0.00040980824,3.0556283e-8,0.00092538464,0.028275395,0.00013796196],"about_ca_topic_score_codex":0.9067615,"about_ca_topic_score_gemma":0.9978039,"teacher_disagreement_score":0.35127726,"about_ca_system_score_codex":0.00016083453,"about_ca_system_score_gemma":0.0000880287,"threshold_uncertainty_score":0.99976087},"labels":[],"label_agreement":null},{"id":"W2406446103","doi":"","title":"Level Wkly Chg (%) YTD YTD C$ Indices / Rates Level Wkly Chg (%) YTD","year":2016,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Headline; Internal medicine; Yield (engineering); Medicine; Business; Metallurgy; Materials science","score_opus":0.11343055281901099,"score_gpt":0.23691108999323912,"score_spread":0.12348053717422813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2406446103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5585455,0.0005597965,0.005363939,0.004276121,0.002016075,0.000396681,0.00078294927,0.00025438424,0.4278046],"genre_scores_gemma":[0.93393236,0.0014371567,0.0024423813,0.0010832951,0.0006174496,0.000042796564,0.000034676716,0.00011881077,0.06029104],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965015,0.000032148826,0.0013269171,0.0010523193,0.00007312043,0.0010140135],"domain_scores_gemma":[0.99780643,0.00030075814,0.0006791889,0.0008383611,0.00006718225,0.00030807624],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012611666,0.000514729,0.0009331062,0.00055375043,0.00031525877,0.00034567696,0.00079572375,0.00037975144,0.0062490604],"category_scores_gemma":[0.00029833932,0.0004603819,0.00031369558,0.00031694164,0.00020910738,0.0010664095,0.00025715894,0.00024500224,0.009679215],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022608573,0.0005815738,0.59166926,0.00015839755,0.0005673851,0.00002945922,0.0012455998,0.000045157245,0.00067780557,0.16980577,0.05211027,0.18288322],"study_design_scores_gemma":[0.0043035517,0.00029294463,0.23958454,0.00013554786,0.000039632432,0.00002996289,0.0003731853,0.0014945368,0.0027753515,0.058068458,0.69027853,0.0026237587],"about_ca_topic_score_codex":0.0010344199,"about_ca_topic_score_gemma":0.0008316906,"teacher_disagreement_score":0.6381683,"about_ca_system_score_codex":0.0003772396,"about_ca_system_score_gemma":0.00012871766,"threshold_uncertainty_score":0.99978477},"labels":[],"label_agreement":null},{"id":"W2414112511","doi":"10.6000/1929-7092.2016.05.19","title":"Scaling Capitalist Class Relations: Commercial Property Development in Tampa, Florida","year":2016,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Agency cost; Incentive; Economics; Executive compensation; Cash flow; Monetary economics; Microeconomics; Econometrics; Finance; Shareholder","score_opus":0.049386900840097066,"score_gpt":0.24194920414129292,"score_spread":0.19256230330119586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2414112511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93400204,0.0042180032,0.00084475207,0.0026946627,0.0021318137,0.00038370793,0.00005923033,0.00001263231,0.055653155],"genre_scores_gemma":[0.9599055,0.033049148,0.0046471963,0.0011012522,0.0006469886,0.000018334003,0.0000055985665,0.000043739987,0.00058224454],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99671507,0.000048349048,0.0025586355,0.00030356366,0.000028517437,0.00034586235],"domain_scores_gemma":[0.997688,0.00011352945,0.0016982766,0.00029027634,0.000045581586,0.00016433636],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023016485,0.00024321071,0.00101563,0.00022068857,0.0000882522,0.00009321779,0.00039991125,0.00014584887,0.00022366404],"category_scores_gemma":[0.0005643702,0.00017497396,0.00027722723,0.00014365083,0.00005903943,0.0005622185,0.000061030052,0.00019542231,0.0011097345],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031652942,0.00033562188,0.4237512,0.0001007787,0.00012299448,0.00001858503,0.00046919024,0.00088747585,0.0000033782235,0.07821978,0.014296146,0.4814783],"study_design_scores_gemma":[0.0011767267,0.000077975834,0.02304309,0.00033825642,0.0000075106245,0.000024834604,0.000018392424,0.00020568242,0.000010684972,0.0071050567,0.9676506,0.0003412017],"about_ca_topic_score_codex":0.00003923189,"about_ca_topic_score_gemma":0.00030143492,"teacher_disagreement_score":0.9533544,"about_ca_system_score_codex":0.0019519193,"about_ca_system_score_gemma":0.00015815183,"threshold_uncertainty_score":0.999668},"labels":[],"label_agreement":null},{"id":"W2415997226","doi":"10.3390/jrfm9020005","title":"Humanizing Finance by Hedging Property Values","year":2016,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; Finance; Equity (law); Recession; Business; Real estate investment trust; Property management; Risk management; Capitalization rate; Asset (computer security); Work (physics); Financial crisis; Economics; Macroeconomics","score_opus":0.013617550512193878,"score_gpt":0.18608661200262797,"score_spread":0.1724690614904341,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2415997226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83155364,0.0049811415,0.11946373,0.00076605787,0.0016459165,0.00023541105,0.000060572034,0.000028604578,0.041264955],"genre_scores_gemma":[0.96946824,0.026408423,0.0024804024,0.00011705065,0.00025972005,0.0000028621203,4.3177297e-7,0.00001890433,0.0012439814],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99885714,0.000014458758,0.00064700784,0.00020882343,0.00003628597,0.00023628364],"domain_scores_gemma":[0.9990985,0.000038775837,0.00063504075,0.00014509865,0.000027467686,0.00005513557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000930123,0.00013099285,0.00035629602,0.00018639976,0.00016385275,0.00007007441,0.00018081022,0.000054521464,0.00004010703],"category_scores_gemma":[0.000107568776,0.00008996574,0.00010124409,0.00009103276,0.00005825191,0.00034558403,0.000081926555,0.00010934173,0.000048080237],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011007724,0.00011159532,0.054944362,0.000055185137,0.00004397271,0.0000307797,0.0007097062,0.000018781762,0.000031731648,0.044951968,0.017437216,0.8815546],"study_design_scores_gemma":[0.001372016,0.0001503983,0.024607442,0.00015478997,0.000025062762,0.000012097807,0.00008229436,0.00009019505,0.000063099345,0.060831383,0.9122976,0.00031361516],"about_ca_topic_score_codex":0.000023759883,"about_ca_topic_score_gemma":0.0000050100266,"teacher_disagreement_score":0.8948604,"about_ca_system_score_codex":0.00008457991,"about_ca_system_score_gemma":0.000008655219,"threshold_uncertainty_score":0.36686963},"labels":[],"label_agreement":null},{"id":"W2422238760","doi":"","title":"Shifting Confidence in Home Ownership: The Great Recession *","year":2011,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Renting; Crash; Real estate; Demographic economics; Business; Quarter (Canadian coin); Zip code; Great recession; Recession; Matching (statistics); Labour economics; Economics; Geography; Finance; Political science; Medicine","score_opus":0.08456177842386714,"score_gpt":0.28005645327002493,"score_spread":0.1954946748461578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2422238760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5503871,0.00014669525,0.000006839577,0.0003539211,0.00034988977,0.0002713393,0.000010301077,0.000024949317,0.44844896],"genre_scores_gemma":[0.9920041,0.0057986365,0.00032813306,0.00015705804,0.00012338918,0.000079631645,0.0000060403063,0.000055893852,0.0014471284],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969607,0.00013847125,0.0010657219,0.00079510023,0.0000527449,0.0009872495],"domain_scores_gemma":[0.998208,0.00048926537,0.00029057247,0.0008331277,0.00002946255,0.00014960344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052152625,0.00023505397,0.0005229858,0.0006618214,0.00023547167,0.00014751528,0.0008827492,0.00024096291,0.0007869839],"category_scores_gemma":[0.00057502434,0.00022696577,0.000121712445,0.000381726,0.00034578226,0.00043962043,0.00029289923,0.00087763736,0.00025346415],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002495567,0.00019934896,0.74734616,0.000061452854,0.00003981142,0.0000500746,0.0053451285,0.00034646588,0.000021604194,0.0642111,0.00009885785,0.18203045],"study_design_scores_gemma":[0.004108497,0.00041775187,0.600883,0.0004677393,0.000008386191,0.000053299893,0.0075566713,0.034694407,0.00037113164,0.24009764,0.10898489,0.0023565737],"about_ca_topic_score_codex":0.00077783415,"about_ca_topic_score_gemma":0.0016996018,"teacher_disagreement_score":0.4470018,"about_ca_system_score_codex":0.0006541486,"about_ca_system_score_gemma":0.00009597162,"threshold_uncertainty_score":0.92553955},"labels":[],"label_agreement":null},{"id":"W242236171","doi":"","title":"The Non-linear Ripple Effect of Housing Prices in Taiwan: A Smooth Transition Regressive Model","year":2013,"lang":"en","type":"article","venue":"20th Annual European Real Estate Society Conference","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Capital city; Economics; Global city; Regression analysis; Capital (architecture); Hedonic pricing; Econometrics; Economy; Agricultural economics; Geography; Economic geography; Mathematics; Statistics","score_opus":0.015681084755222393,"score_gpt":0.21879219097926228,"score_spread":0.20311110622403988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W242236171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87981766,0.000042852313,0.0051870286,0.000357103,0.00012292668,0.00041826707,0.00017008011,0.000039161536,0.11384491],"genre_scores_gemma":[0.9940437,0.004233602,0.0013298872,0.00007254989,0.000054949807,0.000016476135,0.000028291686,0.000045662193,0.00017484665],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99834687,0.00006755966,0.00069180445,0.00040344248,0.00005147918,0.0004388402],"domain_scores_gemma":[0.99892265,0.000105033556,0.0004748577,0.0003178799,0.000082785795,0.00009680122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012188064,0.00023185319,0.00043451582,0.000055418768,0.0001952313,0.00013426099,0.00035139103,0.00007750568,0.000029178651],"category_scores_gemma":[0.000054177868,0.00020221739,0.00019790139,0.00018416616,0.00023180374,0.00047149273,0.000080282625,0.00027447534,0.00014176405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009841579,0.0006502969,0.039425515,0.0014628945,0.00051478023,0.000060719878,0.21734537,0.1213781,0.0012536711,0.017518556,0.012783135,0.58662283],"study_design_scores_gemma":[0.0015922618,0.00031833703,0.011581158,0.0001124534,0.000015429621,0.000001965591,0.0029378973,0.97887164,0.000117106865,0.0016524057,0.0022725863,0.0005267457],"about_ca_topic_score_codex":0.0014376394,"about_ca_topic_score_gemma":0.00013363142,"teacher_disagreement_score":0.8574936,"about_ca_system_score_codex":0.00008013456,"about_ca_system_score_gemma":0.000052617503,"threshold_uncertainty_score":0.8246186},"labels":[],"label_agreement":null},{"id":"W2461039847","doi":"10.2139/ssrn.2776350","title":"The Predominance of Real Estate in the Household Portfolio","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Portfolio; Real estate; Business; Financial economics; Economics; Finance","score_opus":0.015321555840180228,"score_gpt":0.19921690490641322,"score_spread":0.183895349066233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2461039847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92281264,0.00090399623,0.0007176351,0.0017694791,0.00027674236,0.000116589756,0.000012163677,0.0000084453195,0.07338231],"genre_scores_gemma":[0.8611796,0.13776127,0.000016034983,0.000026590336,0.00011118198,0.000005639696,2.9081252e-7,0.00001654402,0.00088287675],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99790704,0.000039745828,0.000633722,0.00016199343,0.00003656287,0.0012209382],"domain_scores_gemma":[0.99898523,0.00017306396,0.0005015529,0.00029832622,0.000014742267,0.000027081665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049340473,0.00010654338,0.00022172765,0.00009760004,0.00015768051,0.000054650813,0.00053570117,0.00005362922,0.0000136564095],"category_scores_gemma":[0.00009772127,0.000060313163,0.00011279915,0.00014244668,0.00010171772,0.00019244327,0.000028883775,0.00049693877,0.000029283558],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012830312,0.00006440059,0.07107637,0.0000037601944,0.00006278423,0.0000038290104,0.00043989386,0.000040068997,0.000028509607,0.78316414,0.00044229,0.14454563],"study_design_scores_gemma":[0.0014995154,0.0002489436,0.03793744,0.000028827242,0.000008881334,0.00017672454,0.0009886839,0.00012676968,0.000041636136,0.9039268,0.054750957,0.000264844],"about_ca_topic_score_codex":0.00028755108,"about_ca_topic_score_gemma":0.0019145497,"teacher_disagreement_score":0.14428078,"about_ca_system_score_codex":0.0004128191,"about_ca_system_score_gemma":0.0003025738,"threshold_uncertainty_score":0.24594994},"labels":[],"label_agreement":null},{"id":"W2461086245","doi":"10.1057/9781137070463_4","title":"Visible Hand or Crippled Hand: Stimulation and Stabilization in China’s Real Estate Markets, 2008–2010","year":2012,"lang":"en","type":"book-chapter","venue":"Palgrave Macmillan US eBooks","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Real estate; China; Financial crisis; Economics; Demographic economics; Business; Geography; Finance; Macroeconomics","score_opus":0.02740090665221171,"score_gpt":0.22264830686206746,"score_spread":0.19524740020985576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2461086245","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06897733,0.0007865231,0.0002837119,0.000034821707,0.00074030005,0.00084305333,0.00039655343,0.00006182413,0.9278759],"genre_scores_gemma":[0.96628726,0.009563114,0.00039224603,0.000048309008,0.00029357447,0.000029771254,0.0003429856,0.00018676855,0.022856],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973255,0.000028697395,0.0011811455,0.00080308,0.000067965775,0.0005936094],"domain_scores_gemma":[0.9983252,0.00010732708,0.0007453017,0.00055975415,0.000044288558,0.00021812292],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008605349,0.0005769662,0.0010110943,0.00073039887,0.00022788705,0.00030907476,0.00020242359,0.0005675531,0.0012962975],"category_scores_gemma":[0.00006257636,0.0006435337,0.0001370238,0.000038178234,0.00022846054,0.00002877224,0.00014595024,0.0003743544,0.00014864927],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025705514,0.0000442242,0.1743949,0.0013262752,0.000512245,0.00010920603,0.008600235,0.0003541525,0.00012022532,0.4240961,0.0004463276,0.38742554],"study_design_scores_gemma":[0.005624894,0.00037425518,0.25503725,0.0004060635,0.00014703508,0.00005861782,0.000059623515,0.019471556,0.00008893013,0.628462,0.08685315,0.0034166244],"about_ca_topic_score_codex":0.0015044075,"about_ca_topic_score_gemma":0.0043307054,"teacher_disagreement_score":0.9050199,"about_ca_system_score_codex":0.00026604565,"about_ca_system_score_gemma":0.00007290487,"threshold_uncertainty_score":0.9996167},"labels":[],"label_agreement":null},{"id":"W2461864106","doi":"10.5430/afr.v5n3p29","title":"Dual Attributes of Government Intervention and China’s Real Estate Prices—Is Chinese Government a Promoter of the Real Estate Prices?","year":2016,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; Real estate investment trust; Government (linguistics); Intervention (counseling); Economic interventionism; Capitalization rate; Business; Real estate development; Frontier; China; Economics; Finance; Geography; Political science","score_opus":0.027200410149812358,"score_gpt":0.26919915487661017,"score_spread":0.2419987447267978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2461864106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9774476,0.00009313289,0.00006807521,0.0007844823,0.000113135364,0.00028188495,0.0002593286,0.0000075012704,0.020944856],"genre_scores_gemma":[0.96520334,0.033791676,0.00027612952,0.0000057280454,0.000056723653,0.000021793412,0.0000016455795,0.000021201171,0.00062174717],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982029,0.000036356494,0.0006835159,0.000440246,0.00021418043,0.00042278552],"domain_scores_gemma":[0.9987022,0.0001719089,0.0006632119,0.00036935398,0.00005427254,0.000039009796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028738102,0.00016100018,0.00038252262,0.00006397312,0.0001744556,0.00008261769,0.00024116339,0.00008979817,0.000026967284],"category_scores_gemma":[0.0002873956,0.000114396746,0.00009202443,0.00023426212,0.00027601063,0.00036267852,0.0004536486,0.00018427867,0.000007695091],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014392087,0.00016290143,0.7641418,0.0002751242,0.00005247208,0.0000020016857,0.0019442118,0.0000034054667,0.0004506579,0.0026103836,0.00014577697,0.23006736],"study_design_scores_gemma":[0.0009885811,0.000201644,0.9874771,0.00023256084,0.0000067549518,0.000004017499,0.00017879774,0.0014723841,0.0007778696,0.0037418187,0.004719769,0.00019869387],"about_ca_topic_score_codex":0.0025292763,"about_ca_topic_score_gemma":0.00025919202,"teacher_disagreement_score":0.22986867,"about_ca_system_score_codex":0.00019955478,"about_ca_system_score_gemma":0.00002555283,"threshold_uncertainty_score":0.4664964},"labels":[],"label_agreement":null},{"id":"W246766421","doi":"","title":"The Twenty-Fifth Anniversary of the Community Reinvestment Act: Past Accomplishments and Future Regulatory Challenges. (Session 4: Housing Subsidies and Finances)","year":2003,"lang":"en","type":"article","venue":"Federal Reserve Bank of New York Economic policy review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Community Reinvestment Act; Subsidy; Business; Metropolitan area; Finance; Fair Housing Act; Scrutiny; Quarter (Canadian coin); Incentive; Small business; Economics; Political science; Law; Market economy","score_opus":0.0752112376391408,"score_gpt":0.2686917189105911,"score_spread":0.19348048127145034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W246766421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65283763,0.30025595,0.0000014371562,0.007889874,0.00047248745,0.0005929712,0.000051961804,0.000014606262,0.03788307],"genre_scores_gemma":[0.55638576,0.44257414,0.00011155181,0.00046114082,0.00019425078,0.000009344605,0.0000042067363,0.000027640648,0.00023193586],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99803925,0.00021455539,0.0009969982,0.0003398046,0.000042025444,0.00036736083],"domain_scores_gemma":[0.9976349,0.00017900216,0.0011503563,0.0008849247,0.00002047078,0.00013036047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016439814,0.0002758655,0.00084446394,0.00009266884,0.00063746824,0.00008810584,0.0005200849,0.00011898847,0.00003991902],"category_scores_gemma":[0.00015232424,0.00021960044,0.00019925281,0.00011269273,0.00030968228,0.00029965118,0.00032118548,0.00029685392,0.000008150149],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021500232,0.0002685018,0.16348475,0.006813334,0.00062746217,0.0000018529314,0.0043207933,0.000070511924,0.00001559751,0.54054403,0.042601984,0.24103616],"study_design_scores_gemma":[0.00110026,0.00010573184,0.18897395,0.0016170262,0.000036053167,0.000011503819,0.00049204606,0.000062941435,0.00005206353,0.040969763,0.7661375,0.0004411613],"about_ca_topic_score_codex":0.0013590003,"about_ca_topic_score_gemma":0.0006966448,"teacher_disagreement_score":0.72353554,"about_ca_system_score_codex":0.00023118626,"about_ca_system_score_gemma":0.00016929774,"threshold_uncertainty_score":0.8955046},"labels":[],"label_agreement":null},{"id":"W2467953290","doi":"","title":"Positive Momentum In Most Housing Markets Internationally","year":2016,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Interest rate; Recession; Unemployment; Pace; Inflation (cosmology); Volatility (finance); Financial crisis; Momentum (technical analysis); Financial market; Monetary economics; Finance; Macroeconomics; Geography","score_opus":0.015855896630014733,"score_gpt":0.20137812547298534,"score_spread":0.1855222288429706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2467953290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5198161,0.000036036203,0.0043083904,0.00193628,0.00035496178,0.000079067075,0.00002775861,0.000029422357,0.473412],"genre_scores_gemma":[0.99491197,0.0001614575,0.00053491344,0.00033472537,0.00006687304,0.000007168679,0.00000441064,0.00002001018,0.003958476],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999034,0.000008734056,0.0004173331,0.00028652424,0.000016993656,0.00023645276],"domain_scores_gemma":[0.99957144,0.00008492481,0.00012884302,0.00015051947,0.00001534192,0.000048938447],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00042371274,0.00010210743,0.0001962064,0.00026514067,0.000032661275,0.000053464766,0.00014958237,0.00005794707,0.0014573713],"category_scores_gemma":[0.000082817525,0.00009522565,0.000046378776,0.00011071597,0.00003242028,0.0003230014,0.00006588128,0.00004928506,0.00081527047],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000108180015,0.00016593735,0.551864,0.0000096010535,0.00006030583,0.000018135337,0.00026158433,0.000021989781,0.0002611844,0.39614835,0.0029621436,0.048118535],"study_design_scores_gemma":[0.003887282,0.00008888182,0.7233628,0.00016877845,0.0000043432888,0.000010796404,0.00012112605,0.0061221425,0.0009214503,0.19888997,0.06529039,0.0011320014],"about_ca_topic_score_codex":0.00023186332,"about_ca_topic_score_gemma":0.00020297353,"teacher_disagreement_score":0.4750959,"about_ca_system_score_codex":0.00028425854,"about_ca_system_score_gemma":0.000015424474,"threshold_uncertainty_score":0.9999627},"labels":[],"label_agreement":null},{"id":"W2470743635","doi":"10.2139/ssrn.2806403","title":"Macroeconomic Stress-Testing of Mortgage Default Rate Using a Vector Error Correction Model and Entropy Pooling","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Bank of Canada; Bank of Canada; Université Laval; HEC Montréal","funders":"","keywords":"Pooling; Download; Computer science; Econometrics; Stress testing (software); Operating system; Economics; Artificial intelligence","score_opus":0.028474012082442966,"score_gpt":0.2287243532585213,"score_spread":0.20025034117607834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2470743635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9537755,0.0006419136,0.043936625,0.00011405977,0.00047552143,0.00008925632,0.00002814722,0.0000219032,0.00091707625],"genre_scores_gemma":[0.9964162,0.002042764,0.0008746543,0.000022239621,0.00019679853,0.000002174699,0.0000013326306,0.00004532993,0.00039847838],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997675,0.000028055601,0.00073555106,0.000314317,0.00002265578,0.0012244323],"domain_scores_gemma":[0.9988192,0.00010636274,0.0007783871,0.00016316806,0.000042769425,0.00009016893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016693026,0.00018445199,0.00040740124,0.0002459822,0.00019970341,0.0000701608,0.00016098232,0.00009616054,0.000035039957],"category_scores_gemma":[0.00021663819,0.0001812121,0.000093726514,0.00009561493,0.000064906075,0.0004365128,0.000049959493,0.00047958855,0.000020727775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006549415,0.00026382477,0.5545305,0.00011109582,0.0009185736,0.000010284602,0.00089729205,0.085893475,0.031033827,0.250509,0.00006225229,0.075114965],"study_design_scores_gemma":[0.0017841201,0.00022870394,0.0046843034,0.00013129835,0.00004463544,0.00027730252,0.0003277226,0.69700813,0.00082249613,0.29406488,0.00009419628,0.00053217955],"about_ca_topic_score_codex":0.00023377774,"about_ca_topic_score_gemma":0.00037436368,"teacher_disagreement_score":0.6111147,"about_ca_system_score_codex":0.0010125565,"about_ca_system_score_gemma":0.0004135559,"threshold_uncertainty_score":0.7389615},"labels":[],"label_agreement":null},{"id":"W2472770370","doi":"","title":"Taming an Overheated Market","year":2013,"lang":"en","type":"article","venue":"北京周报：英文版","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Speculation; Quarter (Canadian coin); Economics; Government (linguistics); State (computer science); China; Market economy; Economic policy; Business; Finance; Political science; Law","score_opus":0.021963812217851347,"score_gpt":0.18928348418169139,"score_spread":0.16731967196384004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2472770370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.600281,0.00011550147,0.00021988583,0.00022954147,0.00047690803,0.00014203895,0.000021217118,0.00008790186,0.39842603],"genre_scores_gemma":[0.9922396,0.00019311471,0.001203903,0.00050867116,0.00024384029,0.000030153764,0.000026874817,0.00005102931,0.0055028056],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985902,0.000016976152,0.0005072381,0.00043100253,0.000022897397,0.000431744],"domain_scores_gemma":[0.9991031,0.000042812724,0.00019368023,0.00047036546,0.000024259245,0.00016573282],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000455151,0.00017828881,0.000345126,0.00017517315,0.00013229341,0.00023525808,0.00026534183,0.00013762405,0.010371192],"category_scores_gemma":[0.000059073904,0.00022004747,0.00009368408,0.0001468603,0.00004558401,0.0007082849,0.000066716864,0.00014430244,0.0048802258],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012560685,0.00076782267,0.48648444,0.0001747933,0.00031035405,0.000025812575,0.008114421,0.00026457483,0.00040822846,0.108283095,0.20976515,0.18527569],"study_design_scores_gemma":[0.0019399635,0.00022727468,0.26995036,0.000040773746,0.000016147544,0.00001887313,0.0012719228,0.08663466,0.00019848578,0.05120304,0.58677816,0.0017203179],"about_ca_topic_score_codex":0.002155284,"about_ca_topic_score_gemma":0.00010027594,"teacher_disagreement_score":0.3929232,"about_ca_system_score_codex":0.00011457216,"about_ca_system_score_gemma":0.000014895619,"threshold_uncertainty_score":0.9958946},"labels":[],"label_agreement":null},{"id":"W2476562550","doi":"10.1007/978-1-4614-9369-3","title":"Asset Price Response to New Information","year":2013,"lang":"en","type":"book","venue":"SpringerBriefs in finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Asset (computer security); Business; Economics; Computer science; Financial economics; Computer security","score_opus":0.01764065842739163,"score_gpt":0.19965619217162897,"score_spread":0.18201553374423735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2476562550","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010370372,0.0005857716,0.002438214,0.0008817255,0.0016019195,0.0008019305,0.00014140292,0.00009570605,0.98308295],"genre_scores_gemma":[0.004454374,0.0010801802,0.008057304,0.0017236832,0.00052615645,0.00010691588,0.000085615604,0.00012833721,0.9838374],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973022,0.000017910113,0.0013858697,0.0006140007,0.00006106878,0.0006189905],"domain_scores_gemma":[0.99796957,0.00012667457,0.00080476346,0.0008914105,0.00004216243,0.00016540661],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012404296,0.00043016355,0.000869599,0.00084727135,0.00007051166,0.00027226482,0.00067082245,0.000535672,0.00063157035],"category_scores_gemma":[0.0005451783,0.0006130956,0.00015733438,0.0002791408,0.000043673048,0.00093202293,0.00026358923,0.0005792285,0.018636571],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005286796,0.000057055644,0.0021732072,0.00023619152,0.00005039504,0.000018575969,0.00197025,0.0013421612,0.0000036912877,0.2573245,0.6946818,0.041613463],"study_design_scores_gemma":[0.00042447963,0.00006170617,0.009304075,0.00019248652,0.0000024128615,0.0000026681273,0.0000037859984,0.00022421518,0.0000054500324,0.036398157,0.9527102,0.0006703245],"about_ca_topic_score_codex":0.00045965175,"about_ca_topic_score_gemma":0.00007546385,"teacher_disagreement_score":0.25802842,"about_ca_system_score_codex":0.001245277,"about_ca_system_score_gemma":0.00044246568,"threshold_uncertainty_score":0.99963206},"labels":[],"label_agreement":null},{"id":"W2478307420","doi":"10.22004/ag.econ.274685","title":"Default, Mortgage Standards and Housing Liquidity","year":2016,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Queen's University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Loan-to-value ratio; Market liquidity; Monetary economics; Origination; Economics; Value (mathematics); House price; Loan; Business; Financial economics; Mortgage insurance; Finance","score_opus":0.04715542970135987,"score_gpt":0.23608170493878786,"score_spread":0.188926275237428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2478307420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94286793,0.00056821824,0.0060640387,0.0009427993,0.00046790045,0.00030545102,0.0020189108,0.00004974507,0.046715003],"genre_scores_gemma":[0.9911353,0.0055086934,0.0013527893,0.000039165014,0.00013855673,7.2699595e-7,0.000042129348,0.00004896782,0.0017336514],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99788177,0.00007193483,0.00046740702,0.00091404817,0.000115462084,0.0005493995],"domain_scores_gemma":[0.9981353,0.00015444987,0.00056040566,0.0007399121,0.00015519005,0.00025468683],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00202492,0.0003291144,0.0009713709,0.0005430767,0.00031221088,0.00010217041,0.00061852887,0.00047616765,0.0015811953],"category_scores_gemma":[0.000108650835,0.00044826968,0.00027212343,0.00012260166,0.0004849289,0.00043966578,0.0013829793,0.00055589783,0.0002080062],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025773284,0.0012736382,0.5586115,0.007324756,0.0035717983,0.0012433107,0.042241152,0.00097500667,0.0009764709,0.09116308,0.06411663,0.22592534],"study_design_scores_gemma":[0.011850612,0.0011270524,0.23415826,0.002089552,0.00037552952,0.0000653093,0.006356751,0.031079674,0.0008495874,0.18748443,0.51721466,0.007348598],"about_ca_topic_score_codex":0.002299902,"about_ca_topic_score_gemma":0.0010311805,"teacher_disagreement_score":0.453098,"about_ca_system_score_codex":0.00044022038,"about_ca_system_score_gemma":0.00022742519,"threshold_uncertainty_score":0.9997969},"labels":[],"label_agreement":null},{"id":"W2483690369","doi":"10.1057/9780230106185_2","title":"The House Price Bubble Ends, the Foreclosure Wave Begins","year":2010,"lang":"en","type":"article","venue":"Palgrave Macmillan Books","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Foreclosure; Quarter (Canadian coin); House price; Bubble; Economics; Agricultural economics; Economic bubble; Business; Monetary economics; Finance; Geography; Archaeology","score_opus":0.022326884110214794,"score_gpt":0.19984634202396204,"score_spread":0.17751945791374724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2483690369","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28277934,0.0007623049,0.0003235885,0.0026695575,0.002515462,0.00048440183,0.00008616907,0.00019736403,0.71018183],"genre_scores_gemma":[0.99723405,0.00054948806,0.00027731777,0.0005081978,0.0005523397,0.000045070687,0.000007445942,0.000082245104,0.0007438615],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983396,0.000023645229,0.0005514424,0.0004197258,0.000049767845,0.000615834],"domain_scores_gemma":[0.998202,0.0002984923,0.00033607474,0.0010175734,0.00003608461,0.00010976688],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001246479,0.00025020994,0.00031572575,0.00008539236,0.0007353663,0.00033285675,0.0006272485,0.00016200419,0.00022259729],"category_scores_gemma":[0.00019757466,0.0001793863,0.00020930644,0.00011261351,0.00025257716,0.00001367696,0.00016026934,0.00051147275,0.000825704],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027349366,0.0000053685876,0.017500747,0.000010143298,0.00007788015,0.000006680722,0.0006975599,0.0000066357156,0.000047604786,0.9699083,0.0015907603,0.01012095],"study_design_scores_gemma":[0.00043539316,0.000046834954,0.019701833,0.000004739652,0.000011630508,0.00003728672,0.00015138164,0.002325429,0.00016466733,0.6310517,0.34566182,0.00040725883],"about_ca_topic_score_codex":0.00023442088,"about_ca_topic_score_gemma":0.0011659293,"teacher_disagreement_score":0.7144547,"about_ca_system_score_codex":0.000054478962,"about_ca_system_score_gemma":0.000037886766,"threshold_uncertainty_score":0.99995226},"labels":[],"label_agreement":null},{"id":"W2488293768","doi":"","title":"Housing Choices of Muslim Immigrants in Italy","year":2016,"lang":"en","type":"article","venue":"European Scientific Journal ESJ","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Immigration; Probit model; Marital status; Investment (military); Demographic economics; Population; Economics; Geography; Sociology; Political science; Demography; Econometrics","score_opus":0.0347235736280912,"score_gpt":0.21178516345006151,"score_spread":0.17706158982197032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2488293768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90321994,0.00021656317,0.00073062186,0.00018618017,0.0017628134,0.00004555148,0.000020484104,0.000012781697,0.09380507],"genre_scores_gemma":[0.9972174,0.00021260961,0.00029004592,0.000036282912,0.0001633769,2.8639207e-7,8.7381846e-7,0.000029524948,0.002049555],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982936,0.00006202166,0.0009055815,0.0003318602,0.000051692277,0.0003552508],"domain_scores_gemma":[0.9988856,0.00005965199,0.00060404354,0.00029794103,0.000041088006,0.00011168035],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0042049326,0.00011850403,0.0002922939,0.0006142516,0.00016030234,0.0002650713,0.00042936724,0.000029219957,0.00035360229],"category_scores_gemma":[0.0002427252,0.00010087047,0.00013127193,0.00032190906,0.00017063406,0.00053677487,0.00008427359,0.0001361126,0.00096315844],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014068335,0.000558806,0.7061281,0.00008599204,0.00012739585,0.00027475486,0.026086874,0.0003245163,0.010998376,0.0038207404,0.0077011776,0.24375254],"study_design_scores_gemma":[0.010488759,0.0003924862,0.5216384,0.0016036675,0.000033433866,0.0002942872,0.007506146,0.0019893302,0.002898521,0.033479776,0.41704047,0.0026347265],"about_ca_topic_score_codex":0.000028395669,"about_ca_topic_score_gemma":0.00006383812,"teacher_disagreement_score":0.40933928,"about_ca_system_score_codex":0.000095375726,"about_ca_system_score_gemma":0.000028288883,"threshold_uncertainty_score":0.9998147},"labels":[],"label_agreement":null},{"id":"W2489363321","doi":"10.1017/cbo9780511807336.004","title":"Consumption Smoothing and Optimal Savings","year":2012,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Consumption (sociology); Consumption smoothing; Smoothing; Computer science; Economics; Keynesian economics; Sociology; Business cycle","score_opus":0.03876361934012542,"score_gpt":0.18143692448391843,"score_spread":0.142673305143793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2489363321","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0052083125,0.0011849089,0.0005108524,0.000015720037,0.00036171416,0.00019104431,0.0002541998,0.00008429712,0.99218893],"genre_scores_gemma":[0.016662328,0.0024155206,0.00038876865,0.00006416507,0.00019863102,4.847585e-7,0.000040810406,0.000068043635,0.98016125],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99886394,0.000007317268,0.00030455153,0.00048510934,0.000027747692,0.00031135723],"domain_scores_gemma":[0.9989857,0.000047190733,0.00042557335,0.00033540043,0.00002780511,0.00017832279],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026219178,0.0002947565,0.00050877867,0.00024601343,0.00019253316,0.0001222383,0.00022867208,0.00041917473,0.000042474046],"category_scores_gemma":[0.000010475653,0.00045044927,0.0001428937,0.0000036457968,0.00019946325,0.00029881662,0.00028847836,0.0003790022,0.00015310763],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035000037,0.0000054259162,0.00036682814,0.000088880835,0.000085503634,0.000016979011,0.00010564216,0.0000022800743,0.0000024551362,0.9929696,0.0032682384,0.0030532137],"study_design_scores_gemma":[0.00041066544,0.00001773538,0.00024587728,0.000062237996,0.000059279253,0.000014216811,0.000011024816,0.00025100686,0.000009619033,0.000102411184,0.9982957,0.00052018254],"about_ca_topic_score_codex":0.00014505176,"about_ca_topic_score_gemma":0.0000019078652,"teacher_disagreement_score":0.9950275,"about_ca_system_score_codex":0.00024011759,"about_ca_system_score_gemma":0.000018070428,"threshold_uncertainty_score":0.9997947},"labels":[],"label_agreement":null},{"id":"W2496283733","doi":"10.4324/9781315743035","title":"Econometric Analyses of International Housing Markets","year":2016,"lang":"en","type":"book","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Real estate; Real estate investment trust; Financial economics; Context (archaeology); Econometric model; Economy; Econometrics; Finance; Geography","score_opus":0.06172334602666889,"score_gpt":0.25804342063658614,"score_spread":0.19632007460991724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2496283733","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00056753133,0.0010512205,0.0014558748,0.00015765948,0.0017833222,0.00012870146,0.00035282003,0.000047727226,0.99445516],"genre_scores_gemma":[0.031943325,0.005931528,0.0011320787,0.0001374946,0.00078992854,0.000007634767,0.00012066043,0.00012411759,0.95981324],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976263,0.00000899299,0.0014000551,0.0006162976,0.000042703323,0.00030567148],"domain_scores_gemma":[0.9976928,0.00019114515,0.0014095799,0.0005490752,0.000061033075,0.00009634089],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00064494624,0.0003326593,0.0010380058,0.0019274496,0.00004593138,0.00008547029,0.0006096842,0.00037836307,0.014153915],"category_scores_gemma":[0.00014583487,0.00034834346,0.00046081108,0.00014159823,0.000114021415,0.00027579578,0.00019314804,0.00017474503,0.0018024694],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002077557,0.0002734219,0.030628935,0.00045588196,0.0033978017,0.00002425973,0.00012770118,0.000101373495,0.000018940043,0.52776384,0.33989522,0.09710483],"study_design_scores_gemma":[0.0005469469,0.000028579203,0.0011315093,0.000100459634,0.000030815263,0.0000033362826,0.000005177477,0.00053909275,0.00005007188,0.07600036,0.9209178,0.0006458207],"about_ca_topic_score_codex":0.00005362621,"about_ca_topic_score_gemma":0.000014450275,"teacher_disagreement_score":0.5810226,"about_ca_system_score_codex":0.0005770335,"about_ca_system_score_gemma":0.00012350753,"threshold_uncertainty_score":0.9998969},"labels":[],"label_agreement":null},{"id":"W2496784399","doi":"10.1007/978-3-319-42111-7_40","title":"Definition of Luxury Dwellings Features for Regulatory Purposes and for Formation of Market Price","year":2016,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Korean Intellectual Property Office; Fundação para a Ciência e a Tecnologia; École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg; Universitas Telkom; Szegedi Tudományegyetem; Universitas Teknologi Yogyakarta; Universidad Nacional del Nordeste; Universidad de Playa Ancha; Universidade do Minho; Nanjing University of Information Science and Technology; Universidad de Valladolid; Universidade Federal do Rio Grande do Sul; Università della Calabria; NetApp; Universität Zürich; Universidad de Oviedo; Memorial University of Newfoundland; Universidad de Cantabria; London South Bank University; Università degli Studi di Salerno; Universitat de Barcelona; Uniwersytet Łódzki; Universidade de Coimbra; Nanjing University; Universiti Malaya; Akademie Věd České Republiky; European Commission; Politechnika Poznańska; East China Normal University; Università degli Studi di Perugia; KU Leuven; Università degli Studi di Cagliari; Ege Üniversitesi; Kunsan National University; Hannam University; Wonkwang University; Deakin University; Delhi Technological University; Instituto Politécnico de Bragança; Cairo University; Indian Council of Agricultural Research; La Trobe University; Università di Pisa; Euskal Herriko Unibertsitatea; Erciyes Üniversitesi; Yonsei University; Waseda University; University of Twente; Universitatea din București; Saint Petersburg State University; Západočeská Univerzita v Plzni; University of Connecticut; Universidad de Sevilla; University of Leeds; Universidade de Aveiro; Monash University; University of Canterbury; Sungkyunkwan University; Universitat de Girona; Università degli Studi della Basilicata; Università degli Studi Mediterranea di Reggio Calabria; U.S. Department of Energy","keywords":"Real estate; Residential real estate; Sample (material); Point (geometry); Relevance (law); Computer science; Center (category theory); Industrial organization; Business; Architectural engineering; Finance; Engineering; Mathematics; Political science","score_opus":0.02735598982198706,"score_gpt":0.21117126485967205,"score_spread":0.183815275037685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2496784399","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018459728,0.00076213176,0.9705672,0.00016557539,0.0005239455,0.0005431977,0.0001916283,0.000011597846,0.025388744],"genre_scores_gemma":[0.585179,0.0014816808,0.4116462,0.00033453645,0.00049734884,0.000047276637,0.000036321926,0.00007727038,0.0007004203],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987283,0.0000032063192,0.00059688283,0.00041900825,0.000042987478,0.00020962831],"domain_scores_gemma":[0.9983596,0.00047434773,0.00076433184,0.00026484553,0.000100012556,0.000036843037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009523055,0.00017674142,0.00046990722,0.00047375227,0.00007379149,0.000046222514,0.0002682265,0.00021281521,0.000014232688],"category_scores_gemma":[0.00013240469,0.00017845267,0.00010582361,0.00006013633,0.00029676224,0.00028552098,0.000078412784,0.00008400292,0.0000012172551],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024359689,0.000037920832,0.0004926998,0.0015510432,0.00003565989,4.6171203e-7,0.0008270537,0.00049667683,0.00018356644,0.65413356,0.00033417673,0.3416636],"study_design_scores_gemma":[0.00045508667,0.00015732156,0.0004978223,0.00030879778,0.000008183952,0.0000050656286,3.562591e-7,0.016399227,0.0009679149,0.9771972,0.0037217007,0.000281375],"about_ca_topic_score_codex":0.0000039556726,"about_ca_topic_score_gemma":0.000013084409,"teacher_disagreement_score":0.58333296,"about_ca_system_score_codex":0.00010421748,"about_ca_system_score_gemma":0.000056565164,"threshold_uncertainty_score":0.7277088},"labels":[],"label_agreement":null},{"id":"W2496884106","doi":"10.1016/b978-0-444-59531-7.00013-2","title":"The Microstructure of Housing Markets","year":2015,"lang":"en","type":"book-chapter","venue":"Handbook of regional and urban economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":117,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Intermediary; Negotiation; Common value auction; Competition (biology); Real estate; Incentive; Matching (statistics); Economics; Industrial organization; Process (computing); Business; Market economy; Microeconomics; Finance; Political science","score_opus":0.0368237768194041,"score_gpt":0.18814242516958055,"score_spread":0.15131864835017644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2496884106","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011382499,0.081609994,0.00009168918,0.0005114957,0.0010864246,0.00042407497,0.0006117545,0.00002702126,0.90425503],"genre_scores_gemma":[0.06557829,0.30572972,0.003931898,0.00061530946,0.0022004645,0.000023075763,0.00034174515,0.00061793474,0.62096155],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99809176,0.0000070804263,0.0011476272,0.00045497448,0.000031232765,0.00026730186],"domain_scores_gemma":[0.9975699,0.00015958924,0.0015849754,0.0004769511,0.00007989301,0.00012870225],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00058117026,0.00035825418,0.00096160086,0.00018566777,0.00014123923,0.00006214698,0.0003411543,0.00039458182,0.000114674614],"category_scores_gemma":[0.000026879228,0.00035362339,0.00028135887,0.000016827225,0.00064433913,0.00011735228,0.00015578598,0.00025465048,0.00003472672],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033267736,0.000017719698,0.0025985143,0.00017007723,0.00038997442,0.0000022325569,0.00023976271,0.000030942065,0.000007629632,0.9432738,0.042953014,0.0099836765],"study_design_scores_gemma":[0.000453649,0.000050559684,0.00022104489,0.0001564246,0.000025848085,0.00001607226,0.000015680824,0.0002756247,0.000012369854,0.25585085,0.74258196,0.0003399158],"about_ca_topic_score_codex":0.000029161105,"about_ca_topic_score_gemma":0.00004799973,"teacher_disagreement_score":0.69962895,"about_ca_system_score_codex":0.00012845255,"about_ca_system_score_gemma":0.00012440585,"threshold_uncertainty_score":0.9998916},"labels":[],"label_agreement":null},{"id":"W2508083695","doi":"10.1177/0891242416665908","title":"Dynamics of the Location of Financial Institutions","year":2016,"lang":"en","type":"article","venue":"Economic Development Quarterly","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Mennonite University; University of Manitoba","funders":"","keywords":"Microdata (statistics); Mainstream; Census; Poverty; Unemployment; Prosperity; Economics; Finance; Panel data; Economic growth; Business; Political science; Sociology; Population","score_opus":0.018265297378223102,"score_gpt":0.1980141845063104,"score_spread":0.1797488871280873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2508083695","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9533516,0.000040619074,0.011561035,0.00082526816,0.0012260149,0.00017365278,0.0000692041,0.000016663907,0.032735955],"genre_scores_gemma":[0.9984255,0.00001780036,0.0009083588,0.00003133304,0.000043457836,0.000013372219,0.0000057691677,0.000011951904,0.0005424671],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99865943,0.000009505738,0.0009104353,0.00022577737,0.000016674712,0.00017819859],"domain_scores_gemma":[0.99897885,0.000037875972,0.0005860413,0.00032969395,0.000031167012,0.000036343685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037966316,0.000114159586,0.00029520047,0.00012880466,0.0000802596,0.000012652568,0.00031232453,0.0000790587,0.00019334373],"category_scores_gemma":[0.000045907145,0.00009458188,0.00007786548,0.00010601627,0.0001393146,0.00021519157,0.000032571974,0.000043506694,0.00034192795],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002061003,0.00007072169,0.11083558,0.000046446432,0.000040954506,1.3509876e-7,0.00091213355,0.00008791086,0.000032617314,0.8335672,0.00035703368,0.054028656],"study_design_scores_gemma":[0.0026249583,0.00020916155,0.7873553,0.00030086306,0.00001696157,0.000007191941,0.00022454909,0.0018895321,0.0024136903,0.1386675,0.065326594,0.00096371735],"about_ca_topic_score_codex":0.00007108939,"about_ca_topic_score_gemma":0.00060459203,"teacher_disagreement_score":0.6948997,"about_ca_system_score_codex":0.00041846358,"about_ca_system_score_gemma":0.00037450242,"threshold_uncertainty_score":0.4394906},"labels":[],"label_agreement":null},{"id":"W2509171592","doi":"10.2139/ssrn.2814692","title":"Family Structure and Home Ownership: Evidence from China","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"China; Business; Demographic economics; Political science; Economics; Law","score_opus":0.015840936952604474,"score_gpt":0.19646457510098425,"score_spread":0.18062363814837978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2509171592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98125005,0.009670632,0.0051174085,0.0018144307,0.00046389448,0.00005579682,0.000041972136,0.00002350554,0.0015623095],"genre_scores_gemma":[0.963932,0.034606613,0.00016079303,0.00007048509,0.00043155238,0.0000011983796,0.0000015411972,0.000028843277,0.0007669816],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978754,0.000023384444,0.0004193408,0.0003406296,0.000032436525,0.0013087973],"domain_scores_gemma":[0.9992575,0.00009016805,0.00030460962,0.00022109094,0.000014816981,0.000111783746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010331137,0.0001705175,0.00031572307,0.00014045833,0.00015852644,0.00012630515,0.0002823119,0.000118564174,0.00021957245],"category_scores_gemma":[0.00012586355,0.00013358498,0.0000868477,0.00007989483,0.000065853485,0.00057671155,0.000053319793,0.0006527958,0.0001337323],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001792158,0.00003232566,0.5812031,0.000010286987,0.00030176452,0.000006269064,0.000508582,0.000012143653,0.0015162379,0.25724727,0.00038258437,0.15860023],"study_design_scores_gemma":[0.00065344287,0.000112200214,0.12976903,0.000048069694,0.000009999959,0.000061044404,0.0000960642,0.00008594474,0.000038170136,0.86622155,0.0026100094,0.00029450675],"about_ca_topic_score_codex":0.00027237227,"about_ca_topic_score_gemma":0.00039895342,"teacher_disagreement_score":0.6089742,"about_ca_system_score_codex":0.0006443805,"about_ca_system_score_gemma":0.0002325835,"threshold_uncertainty_score":0.5447438},"labels":[],"label_agreement":null},{"id":"W251931810","doi":"","title":"Managing Government Property Assets: International Experiences","year":2007,"lang":"en","type":"article","venue":"Journal of Real Estate Literature","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Government (linguistics); Context (archaeology); Asset (computer security); Balance sheet; Property management; Asset management; Public sector; Debt; Economics; Public administration; Finance; Business; Economy; Political science; Geography","score_opus":0.012550017097903876,"score_gpt":0.22300889601068502,"score_spread":0.21045887891278114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W251931810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6013909,0.00022283825,0.0011826851,0.0010381275,0.0022317811,0.00005158921,0.000023049584,0.000010214414,0.3938488],"genre_scores_gemma":[0.9858149,0.00875971,0.0029482462,0.000179469,0.00064934994,0.0000014087324,0.0000058303194,0.000018859828,0.0016221734],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99884605,0.000007780257,0.00070863427,0.00014850877,0.00008245815,0.00020656714],"domain_scores_gemma":[0.99903685,0.000033216373,0.00066392194,0.000111990696,0.000053584172,0.0001004505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011223513,0.00011163836,0.00024523502,0.0001348268,0.000053500495,0.0002576695,0.00027189273,0.00007150592,0.0001244505],"category_scores_gemma":[0.000056611792,0.00008574093,0.00011790961,0.00011864551,0.00002905876,0.00063866953,0.00003955867,0.0002457828,0.000016064234],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012740028,0.00047879317,0.13399102,0.00013186087,0.00045850844,0.0013174129,0.08087672,0.00039952638,0.00029481307,0.015569098,0.015550754,0.74965745],"study_design_scores_gemma":[0.0010999598,0.00025701153,0.012399185,0.00020403138,0.000009354147,0.0003336288,0.005105101,0.0014579915,0.00030299564,0.00620985,0.97219783,0.00042305424],"about_ca_topic_score_codex":0.00002024876,"about_ca_topic_score_gemma":0.000011179894,"teacher_disagreement_score":0.9566471,"about_ca_system_score_codex":0.00023362967,"about_ca_system_score_gemma":0.000014858265,"threshold_uncertainty_score":0.34964138},"labels":[],"label_agreement":null},{"id":"W2519935505","doi":"","title":"Do Loan-to-Value Ratio Regulation Changes Affect Canadian Mortgage Credit?","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Loan-to-value ratio; Economics; Monetary economics; Endogeneity; Mortgage loan; Value (mathematics); Vector autoregression; Structural vector autoregression; Mortgage underwriting; Monetary policy; Loan; Mortgage insurance; Financial system; Econometrics; Finance","score_opus":0.06670903944600065,"score_gpt":0.2994996368487025,"score_spread":0.23279059740270186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2519935505","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39296493,0.00040980816,0.000036081863,0.0023346178,0.0033805193,0.001878658,0.0007594669,0.00009091619,0.598145],"genre_scores_gemma":[0.98699355,0.0049456353,0.0009406358,0.0003518091,0.0014790685,0.0004366347,0.00039875746,0.0002300102,0.004223893],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9947067,0.00020806937,0.0013293298,0.0019379522,0.00012313743,0.0016948315],"domain_scores_gemma":[0.9959909,0.00024306335,0.0005306854,0.001957571,0.00015582409,0.0011219651],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0074080913,0.0006116304,0.0013343312,0.0028813458,0.00032129508,0.0007785758,0.0012361853,0.0010285133,0.00057591934],"category_scores_gemma":[0.0012474235,0.00085588865,0.00024993625,0.00037049633,0.000218671,0.00026826366,0.000955008,0.0017628303,0.00067515066],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057914405,0.0006183032,0.11498891,0.0011952795,0.00096472504,0.00032172148,0.009384388,0.36828655,0.00009858044,0.08955827,0.027058613,0.38694552],"study_design_scores_gemma":[0.0024141031,0.0005192616,0.056805573,0.00063361676,0.00003158742,0.000035900328,0.0010212458,0.16991927,0.000142324,0.09859433,0.66581964,0.004063141],"about_ca_topic_score_codex":0.025973944,"about_ca_topic_score_gemma":0.15498331,"teacher_disagreement_score":0.63876104,"about_ca_system_score_codex":0.006074849,"about_ca_system_score_gemma":0.0013911909,"threshold_uncertainty_score":0.9993892},"labels":[],"label_agreement":null},{"id":"W2522207211","doi":"10.5539/ijef.v8n10p140","title":"Asset Price Volatility, Credit Rationing and Rational Lending Discrimination","year":2016,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Collateral; Loan; Adverse selection; Credit rationing; Credit default swap; Asset (computer security); Underwriting; Monetary economics; Credit risk; Financial economics; Actuarial science; Interest rate; Finance","score_opus":0.028625905175025047,"score_gpt":0.23282783145541225,"score_spread":0.2042019262803872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2522207211","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9781307,0.0004806147,0.00869198,0.004684355,0.0014180181,0.000057127883,0.00008819203,0.0000046096934,0.006444421],"genre_scores_gemma":[0.988028,0.008941965,0.0021864371,0.000116567695,0.00046500156,0.0000024589035,0.0000053723647,0.000013234523,0.00024099665],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988406,0.000009673372,0.00076587405,0.00022033263,0.000027680851,0.0001358516],"domain_scores_gemma":[0.9987578,0.00014074406,0.00085576106,0.00008663208,0.00011147525,0.00004760523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073159696,0.00011474238,0.0002578566,0.00022983355,0.000083592284,0.00022156538,0.00019164688,0.00006640186,0.000063323314],"category_scores_gemma":[0.0001960367,0.0001101569,0.00006570236,0.000030825446,0.00007983378,0.0011444197,0.000076451994,0.000084840765,0.000011852183],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011291356,0.000057109904,0.05902135,0.0000088431525,0.000117795025,0.000006049725,0.0003682784,0.00038238606,0.000070648384,0.8915252,0.00052962283,0.0477998],"study_design_scores_gemma":[0.0039438023,0.00025522578,0.14568779,0.00022195175,0.000022040482,0.00033542857,0.00013725749,0.076431155,0.00033111568,0.5095305,0.2623467,0.00075703947],"about_ca_topic_score_codex":0.000012451575,"about_ca_topic_score_gemma":0.000016153375,"teacher_disagreement_score":0.38199472,"about_ca_system_score_codex":0.00015816558,"about_ca_system_score_gemma":0.00004101056,"threshold_uncertainty_score":0.4492068},"labels":[],"label_agreement":null},{"id":"W2522250055","doi":"10.1108/9781786359513-005","title":"The Economics of Noise","year":2003,"lang":"en","type":"book-chapter","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Noise (video); Economics; Computer science; Neoclassical economics; Artificial intelligence","score_opus":0.027401540201979803,"score_gpt":0.17821243795666933,"score_spread":0.15081089775468953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2522250055","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018145751,0.0013407603,0.00011164205,0.00040290944,0.0010548366,0.00016729285,0.00010510573,0.0000209804,0.996615],"genre_scores_gemma":[0.0032626241,0.02030264,0.0003709633,0.00036792606,0.00016911673,0.0000061981523,0.000018368106,0.00011719271,0.97538495],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982194,0.000003288512,0.0011069387,0.0003924185,0.0000132445675,0.00026474183],"domain_scores_gemma":[0.99811816,0.00012289344,0.0009241965,0.00073446706,0.00002703929,0.00007322111],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00061115116,0.00027949543,0.00067866,0.00014492022,0.0001277545,0.000078579724,0.00039180872,0.0003276737,0.0017706881],"category_scores_gemma":[0.000035285375,0.00027236526,0.00033780755,0.000015323963,0.00017597359,0.00007966211,0.00007561731,0.00022389501,0.0014535313],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009024639,0.0000064535006,0.00013794703,0.000015075456,0.00008688903,4.034005e-7,0.000017094193,0.000021641215,1.065562e-7,0.98660254,0.009232012,0.0038708071],"study_design_scores_gemma":[0.00011297316,0.00001923265,0.000011422969,0.00000735046,0.0000065107715,0.0000016772495,0.0000038459734,0.00012595375,0.000004532301,0.34021366,0.659273,0.00021983132],"about_ca_topic_score_codex":0.000029530758,"about_ca_topic_score_gemma":0.00008143769,"teacher_disagreement_score":0.650041,"about_ca_system_score_codex":0.00013737605,"about_ca_system_score_gemma":0.0000376231,"threshold_uncertainty_score":0.9999729},"labels":[],"label_agreement":null},{"id":"W2522506107","doi":"10.34989/sdp-2016-17","title":"Leaning Within a Flexible Inflation-Targeting Framework: Review of Costs and Benefits","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Inflation (cosmology); Political science; Humanities; Economics; Philosophy; Physics","score_opus":0.031223325493764765,"score_gpt":0.24019550546715207,"score_spread":0.2089721799733873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2522506107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.781816,0.14279498,0.0010125632,0.0003734352,0.0035625794,0.0006162123,0.00030342635,0.00012215527,0.06939861],"genre_scores_gemma":[0.8647792,0.108642735,0.02369414,0.0011852004,0.00068424916,0.00010657797,0.0003282229,0.00018979143,0.00038989147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99527454,0.000077341356,0.002693959,0.0013019452,0.00007871128,0.0005735104],"domain_scores_gemma":[0.99534446,0.00042817707,0.0028201179,0.0009828421,0.0001725766,0.00025180064],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0024833018,0.00061846303,0.0021017664,0.00048802633,0.00022788456,0.00026309688,0.00048747464,0.0007599665,0.0017813748],"category_scores_gemma":[0.0016009436,0.0008499104,0.0004405341,0.0002566772,0.0002711671,0.00042182067,0.0008092799,0.0012235246,0.00015497138],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001931903,0.000086473054,0.9435224,0.00676252,0.00034230686,0.000008446648,0.0010443688,0.0008054955,0.000005663881,0.041994862,0.0014417764,0.0039663706],"study_design_scores_gemma":[0.007764615,0.0007178089,0.43132475,0.2685533,0.001469993,0.00057025906,0.004238934,0.026559372,0.0022601206,0.109416805,0.12564017,0.021483887],"about_ca_topic_score_codex":0.00024238491,"about_ca_topic_score_gemma":0.0000953088,"teacher_disagreement_score":0.5121977,"about_ca_system_score_codex":0.000519146,"about_ca_system_score_gemma":0.00041562738,"threshold_uncertainty_score":0.9993952},"labels":[],"label_agreement":null},{"id":"W2526902810","doi":"10.1111/caje.12346","title":"Housing market dynamics and macroprudential policies","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Economics; Monetary policy; Collateral; Monetary economics; Consumption (sociology); Boom; Dynamic stochastic general equilibrium; Bond market; Household debt; Debt; Loan-to-value ratio; Macroeconomics; Finance; Mortgage insurance","score_opus":0.07562741808763278,"score_gpt":0.17855761572412782,"score_spread":0.10293019763649504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2526902810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9499564,0.000319807,0.0004577816,0.0016163999,0.0028774987,0.00015262904,0.00033542403,0.000011542677,0.044272523],"genre_scores_gemma":[0.9952042,0.0004231607,0.0009517351,0.00065142,0.0016343398,0.0000040166037,0.000010401589,0.000093046954,0.0010276652],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970994,0.000029632103,0.0014026691,0.0004833984,0.0000016044744,0.0009832901],"domain_scores_gemma":[0.99672794,0.000085533844,0.0010889212,0.00043640693,0.00013458615,0.0015266015],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012292451,0.00034760413,0.0008941647,0.0012040309,0.00037787398,0.0004612452,0.00057832536,0.0002702743,0.0011596316],"category_scores_gemma":[0.0002263836,0.0004898833,0.00022845477,0.00016023473,0.00055913103,0.0007005612,0.00005727236,0.00033520706,0.000099184115],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010119188,0.000015666943,0.09463288,0.000046431538,0.00022091823,0.00008991224,0.0015067752,0.00017619561,0.0000028755057,0.89085317,0.0021403816,0.0102136275],"study_design_scores_gemma":[0.0022838886,0.00093343295,0.018510694,0.00016938968,0.000080417856,0.0017719001,0.0012859281,0.038750466,0.000111861154,0.8014895,0.13268487,0.0019276732],"about_ca_topic_score_codex":0.12206613,"about_ca_topic_score_gemma":0.95775783,"teacher_disagreement_score":0.8356917,"about_ca_system_score_codex":0.002099273,"about_ca_system_score_gemma":0.0006810175,"threshold_uncertainty_score":0.99975526},"labels":[],"label_agreement":null},{"id":"W2527570328","doi":"10.1111/jofi.12310","title":"Foreclosures, House Prices, and the Real Economy","year":2015,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":359,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Booth School of Business, University of Chicago; National Science Foundation","keywords":"Foreclosure; Investment (military); Economics; Jump; State (computer science); Monetary economics; Business; Finance; Law; Political science","score_opus":0.033996415675155864,"score_gpt":0.20524327447818042,"score_spread":0.17124685880302454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2527570328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81771535,0.0074325814,0.0010067179,0.006256487,0.00067879254,0.00017081533,0.000007647259,0.000014894648,0.16671672],"genre_scores_gemma":[0.98730654,0.010992489,0.0005324976,0.00035059446,0.00032477654,0.0000022351526,2.2210193e-7,0.000022879549,0.00046776346],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99904865,0.000035031746,0.0006128156,0.00009591472,0.000024071078,0.00018350242],"domain_scores_gemma":[0.99855155,0.00018398273,0.00089991535,0.00025616656,0.00004928497,0.000059110163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036233058,0.00010391494,0.00036208145,0.00006549682,0.00011142766,0.00007681483,0.00039419715,0.000049707935,0.0000106160405],"category_scores_gemma":[0.00013009897,0.00006607203,0.00008161791,0.00008570534,0.0002166057,0.00029587396,0.00006313897,0.00020495671,0.000057489702],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019258003,0.00010316841,0.043705415,0.000036489633,0.00020902483,0.000015672545,0.008351275,0.0019124283,0.0000018941117,0.8815568,0.04558059,0.016601425],"study_design_scores_gemma":[0.00412455,0.0001917091,0.012231585,0.000027087299,0.000032713284,0.00019228262,0.00028428953,0.0034129785,0.000019393137,0.2657903,0.7134445,0.00024860838],"about_ca_topic_score_codex":0.0001626516,"about_ca_topic_score_gemma":0.0000534026,"teacher_disagreement_score":0.6678639,"about_ca_system_score_codex":0.000069089016,"about_ca_system_score_gemma":0.000056427758,"threshold_uncertainty_score":0.26943395},"labels":[],"label_agreement":null},{"id":"W2528382449","doi":"10.1111/1540-6229.12202","title":"The Consequences of REIT Index Membership for Return Patterns","year":2017,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"University of Pennsylvania","keywords":"Real estate investment trust; Index (typography); Economics; Financial economics; Stock (firearms); Stock market index; Real estate; Econometrics; Stock market; Finance; Geography; Computer science","score_opus":0.05675905641307436,"score_gpt":0.2554903198318772,"score_spread":0.19873126341880284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2528382449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76820767,0.000033521865,0.00022567184,0.0013287091,0.0010342639,0.00029723407,0.00039000853,0.000021651478,0.22846128],"genre_scores_gemma":[0.98066884,0.018030897,0.00026562565,0.000045024168,0.00018067243,0.000035028464,0.000018852812,0.000042016636,0.0007130271],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99827623,0.000012499852,0.0008828436,0.00039277715,0.00001382457,0.00042184742],"domain_scores_gemma":[0.9971587,0.00030379146,0.001460423,0.0009418607,0.000034769517,0.00010045552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012989858,0.00018799002,0.0004928943,0.00007596002,0.0006618119,0.00038517185,0.0008094662,0.00013531053,0.00006365714],"category_scores_gemma":[0.00021832241,0.00018980693,0.00020738585,0.000016462536,0.0004167735,0.0003769959,0.00011259154,0.00012581865,0.00005181563],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034585095,0.00005547645,0.59101546,0.00014277571,0.0002499031,0.0000028985846,0.0009063595,0.00049116625,0.000014458262,0.32807988,0.0007298421,0.07796597],"study_design_scores_gemma":[0.0035235004,0.00036125717,0.1204421,0.00007537361,0.000049460425,0.000021233325,0.0011588773,0.051464282,0.0014060537,0.5066978,0.31322274,0.0015773746],"about_ca_topic_score_codex":0.002350361,"about_ca_topic_score_gemma":0.0024779376,"teacher_disagreement_score":0.47057334,"about_ca_system_score_codex":0.000138039,"about_ca_system_score_gemma":0.00007690506,"threshold_uncertainty_score":0.7740102},"labels":[],"label_agreement":null},{"id":"W2529362537","doi":"","title":"Practical Considerations in Evaluating a Long-term Care Securitization","year":2013,"lang":"en","type":"article","venue":"Kent Academic Repository (University of Kent)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Securitization; Business; Actuarial science; Private equity; General partnership; Finance; Economics; Political science","score_opus":0.043482903493346145,"score_gpt":0.2589909383739069,"score_spread":0.21550803488056075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529362537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9735695,0.00037683526,0.0007954042,0.00057828677,0.00026631856,0.00032523842,0.0000064961105,0.000028055092,0.024053847],"genre_scores_gemma":[0.9979099,0.00028325288,0.0013027618,0.00004403385,0.000058406204,0.0000018423367,0.00001868757,0.000011189614,0.0003699159],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990003,0.000045505618,0.00040786763,0.00030459746,0.000046063196,0.0001956368],"domain_scores_gemma":[0.9991769,0.00009637972,0.00039647392,0.00018454067,0.00006853329,0.00007717467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026794578,0.000101467886,0.00025640486,0.0001432854,0.00017954718,0.00003890853,0.000107556094,0.00019747767,0.0004762799],"category_scores_gemma":[0.00010617178,0.00015620794,0.000077985635,0.00011407906,0.00008435584,0.00069538335,0.00006472457,0.00029307237,0.00015391971],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016287884,0.000060225208,0.98052925,0.000100695026,0.000034402587,0.000026499092,0.0059136683,0.000256032,0.00046042935,0.010171109,0.001845302,0.0005861052],"study_design_scores_gemma":[0.0019944594,0.00012409892,0.9645065,0.00019649423,0.000042047683,0.00006798512,0.0049210703,0.017980047,0.00032193772,0.008703471,0.00057666685,0.0005652308],"about_ca_topic_score_codex":0.00041784236,"about_ca_topic_score_gemma":0.00006621767,"teacher_disagreement_score":0.024340391,"about_ca_system_score_codex":0.0002993104,"about_ca_system_score_gemma":0.00007608784,"threshold_uncertainty_score":0.6369975},"labels":[],"label_agreement":null},{"id":"W2530912165","doi":"10.22495/cocv14i1p10","title":"In search of effective corporate governance. An explorative research within the context of semi-public housing management in the Netherlands","year":2016,"lang":"en","type":"article","venue":"Corporate Ownership and Control","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; University of Jordan; Imperial College London","keywords":"Corporate governance; Stewardship (theology); Stewardship theory; Business; Context (archaeology); Agency (philosophy); Principal–agent problem; Principal (computer security); Set (abstract data type); Accounting; Public relations; Political science; Sociology; Politics; Finance; Social science","score_opus":0.12830452565678424,"score_gpt":0.27111686020064424,"score_spread":0.14281233454386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2530912165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890822,0.0004431065,0.000482965,0.0030625362,0.00012752092,0.0009058851,0.0000617576,0.0000063995108,0.005827622],"genre_scores_gemma":[0.9989338,0.0005413614,0.00002038216,0.00018943613,0.000051322946,0.00011181043,0.0000029155706,0.000021087739,0.0001279019],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978947,0.00056924,0.0006755063,0.0003843293,0.00009824179,0.0003779584],"domain_scores_gemma":[0.9978966,0.00067808875,0.0008413791,0.0004290782,0.00009790126,0.000056970584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0074850754,0.00016515073,0.00048855436,0.00022415612,0.000098237266,0.00007912818,0.0004343647,0.00009578521,0.00002597669],"category_scores_gemma":[0.00013210915,0.00009617349,0.000054927543,0.0005863179,0.0005238909,0.00043106006,0.00006743109,0.00027409938,0.000015779531],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012905875,0.0002945426,0.43649802,0.000099507575,0.00013709397,0.00003281935,0.01215908,0.000113979266,0.00043560137,0.5154752,0.00016911622,0.033294454],"study_design_scores_gemma":[0.022023682,0.0020242126,0.38250613,0.0005726178,0.000045370904,0.00001076138,0.04506464,0.01796275,0.0023538296,0.52405214,0.0022177706,0.0011660523],"about_ca_topic_score_codex":0.0003283243,"about_ca_topic_score_gemma":0.0013074264,"teacher_disagreement_score":0.053991873,"about_ca_system_score_codex":0.00012133946,"about_ca_system_score_gemma":0.00005072623,"threshold_uncertainty_score":0.3921841},"labels":[],"label_agreement":null},{"id":"W254139420","doi":"","title":"Memphis Harp and Jug Blowers: 1929-1939","year":2011,"lang":"en","type":"article","venue":"Journal - Association for Recorded Sound Collections","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Blues; Great Depression; History; Newspaper; Art history; Law; Economic history; Political science","score_opus":0.050252150313821915,"score_gpt":0.21971501690260145,"score_spread":0.16946286658877954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W254139420","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20322238,0.00042109287,0.011535592,0.0014416035,0.0072437446,0.000628829,0.00024549782,0.00013270314,0.77512854],"genre_scores_gemma":[0.8405617,0.0027871418,0.008498206,0.00053731404,0.0014875352,0.00014099177,0.000023209162,0.00011155228,0.14585234],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.998712,0.00002367599,0.00065898296,0.00024221602,0.000036564994,0.0003265366],"domain_scores_gemma":[0.9985918,0.00016271914,0.0008586441,0.00012196807,0.00012740193,0.00013751225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011479773,0.00013846793,0.00033740932,0.0004182116,0.0012428703,0.00041141978,0.00011385739,0.00017428561,0.00077482924],"category_scores_gemma":[0.00060649216,0.00017310683,0.00021745509,0.00037620382,0.00002229267,0.0004249977,0.000022387321,0.00024224313,0.000100364],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004339794,0.0008862349,0.5157025,0.000059090355,0.0015771935,0.0000052842765,0.008537031,0.000079713645,0.00001824553,0.0896475,0.37678292,0.006270313],"study_design_scores_gemma":[0.0015972374,0.000230916,0.007599616,0.0000108133745,0.00006170477,0.000039891594,0.00043350013,0.0011651852,0.0000123467935,0.42201996,0.566427,0.0004018055],"about_ca_topic_score_codex":0.00016176407,"about_ca_topic_score_gemma":0.00051798346,"teacher_disagreement_score":0.63733935,"about_ca_system_score_codex":0.0008977587,"about_ca_system_score_gemma":0.000062867824,"threshold_uncertainty_score":0.95592797},"labels":[],"label_agreement":null},{"id":"W2543163575","doi":"10.5539/ijef.v8n11p12","title":"Choosing the Appropriate Amount of Mortgage Loan: Risk Based Decision Making","year":2016,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Loan-to-value ratio; Prepayment of loan; Default; Cash flow; Loan; Depreciation (economics); Mortgage underwriting; Actuarial science; Maturity (psychological); Portfolio; Economics; Payment; Bond; Economic rent; Business; Finance; Mortgage insurance; Microeconomics","score_opus":0.01838351025498077,"score_gpt":0.224701471262411,"score_spread":0.20631796100743022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2543163575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9768906,0.00062383286,0.017148688,0.0010304624,0.0013631295,0.000059855207,0.000102487385,0.0000025718407,0.0027783357],"genre_scores_gemma":[0.9846731,0.010954105,0.0039240923,0.00014106336,0.00025529615,0.0000015696395,5.67503e-7,0.000017272198,0.00003295005],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998587,0.000013943513,0.001025687,0.00019316483,0.000030425746,0.00014975578],"domain_scores_gemma":[0.99749345,0.00029531444,0.0018899126,0.00019131305,0.000101664395,0.000028322922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011985343,0.00012202458,0.00034367718,0.00020631262,0.00007040699,0.0000941506,0.00046452368,0.00006587595,0.000053174106],"category_scores_gemma":[0.00022572688,0.00009035042,0.00016786675,0.00004306976,0.000109705354,0.00035460267,0.00007843983,0.00012831777,0.0000165271],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078832806,0.00016210372,0.12700382,0.000014122185,0.00032550332,0.000015758733,0.00041160622,0.022102023,0.000044566947,0.22479029,0.00037123915,0.6239706],"study_design_scores_gemma":[0.005190603,0.00029043003,0.1191758,0.00067477534,0.000043200478,0.00012639965,0.000094315525,0.13271141,0.0006232249,0.5836499,0.15668634,0.00073362014],"about_ca_topic_score_codex":0.000027200744,"about_ca_topic_score_gemma":0.000022217384,"teacher_disagreement_score":0.623237,"about_ca_system_score_codex":0.00013644662,"about_ca_system_score_gemma":0.000046173827,"threshold_uncertainty_score":0.3684383},"labels":[],"label_agreement":null},{"id":"W2548666130","doi":"10.1108/jerer-01-2016-0001","title":"Residential property prices’ modeling: evidence from selected European countries","year":2016,"lang":"en","type":"article","venue":"Journal of European real estate research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Autoregressive integrated moving average; Residential property; House price; Univariate; Economics; Econometrics; Sample (material); Quarter (Canadian coin); Residential real estate; European union; Originality; Financial economics; Time series; Multivariate statistics; Geography; Finance; Statistics; Economic geography; Mathematics; International trade","score_opus":0.1484934897384624,"score_gpt":0.30998762589823425,"score_spread":0.16149413615977184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2548666130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7267268,0.00027763928,0.0028085178,0.0012126548,0.00032247015,0.00013997269,0.000036558526,0.000033931403,0.26844147],"genre_scores_gemma":[0.9388773,0.05756088,0.0009198318,0.000023353072,0.0009975643,9.553842e-7,0.0000031133716,0.00009923839,0.0015177727],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99640167,0.0007249103,0.0015011445,0.0004586522,0.00024596666,0.0006676835],"domain_scores_gemma":[0.99723744,0.00047056534,0.0007254881,0.0004715769,0.00078010693,0.00031483825],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.010895404,0.00020239226,0.0004814102,0.00057801616,0.0002570221,0.00042944218,0.0010016033,0.000053020514,0.00035300426],"category_scores_gemma":[0.0019056834,0.00013540205,0.00014893975,0.00040073905,0.00020449,0.0010798374,0.00030590346,0.00055427273,0.0020861782],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011969097,0.0015513339,0.33126065,0.00061660586,0.0020312106,0.008258198,0.027179172,0.0049465983,0.035281174,0.008544156,0.096868455,0.47149333],"study_design_scores_gemma":[0.016388899,0.0064065894,0.32316267,0.006468241,0.00018144851,0.0006461171,0.0018549445,0.055497184,0.0025153512,0.026265873,0.5556857,0.004926959],"about_ca_topic_score_codex":0.00085924193,"about_ca_topic_score_gemma":0.00009783174,"teacher_disagreement_score":0.46656638,"about_ca_system_score_codex":0.00034575595,"about_ca_system_score_gemma":0.0002140804,"threshold_uncertainty_score":0.9986908},"labels":[],"label_agreement":null},{"id":"W2549197689","doi":"","title":"Dynamic Models of the Housing Market","year":2015,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Research Foundation; Realdania; Danmarks Grundforskningsfond; Aarhus Universitet","keywords":"Cointegration; Econometrics; Economics; Unit root; Explosive material; Univariate; House price; Test (biology); Unit root test; Multivariate statistics; Statistics; Mathematics; Geography","score_opus":0.04684745067684131,"score_gpt":0.20631937254445043,"score_spread":0.1594719218676091,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2549197689","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24976939,0.00013544507,0.0055796443,0.0003395804,0.000492519,0.00007588181,0.000014065442,0.000022858178,0.7435706],"genre_scores_gemma":[0.9947341,0.000055457214,0.0017733579,0.00014167963,0.000018044675,0.0000021035544,8.979792e-7,0.00001734427,0.003256997],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992745,0.000009525337,0.00036775292,0.00016712664,0.000018602785,0.00016248418],"domain_scores_gemma":[0.9993681,0.000020313862,0.00019426839,0.00034345413,0.000020078325,0.000053808428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005900598,0.00007968077,0.000213856,0.00006828516,0.000039201226,0.000029201194,0.00023624505,0.000056552977,0.0002203867],"category_scores_gemma":[0.000051107614,0.000070381124,0.00008960684,0.000121153134,0.000052758358,0.00018644905,0.00009489165,0.00006410576,0.00007865867],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012386382,0.00026289406,0.15969442,0.000084053136,0.00014654963,0.000002102086,0.0020306713,0.028898478,0.00002342398,0.7564991,0.039771616,0.012462804],"study_design_scores_gemma":[0.0005041104,0.000019843144,0.0038182857,0.000010891421,0.0000046735727,0.0000025864995,0.00016649955,0.6180251,0.000035545985,0.36267135,0.01452107,0.00022002877],"about_ca_topic_score_codex":0.00019219187,"about_ca_topic_score_gemma":0.00009478032,"teacher_disagreement_score":0.7449647,"about_ca_system_score_codex":0.00009194824,"about_ca_system_score_gemma":0.000029715673,"threshold_uncertainty_score":0.2870059},"labels":[],"label_agreement":null},{"id":"W2550189518","doi":"10.1016/j.cities.2016.11.006","title":"The implications of condominium neighbourhoods for long-term urban revitalisation","year":2016,"lang":"en","type":"article","venue":"Cities","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Disinvestment; Business; Neighbourhood (mathematics); Stakeholder; Unit (ring theory); Urban planning; Economic growth; Economics; Market economy; Political science; Engineering; Public relations","score_opus":0.0420157473798306,"score_gpt":0.23992710537780168,"score_spread":0.19791135799797108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2550189518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86971766,0.0014380564,0.016182605,0.005553113,0.00093225355,0.00052208133,0.0004568069,0.000042390573,0.10515505],"genre_scores_gemma":[0.9966034,0.0006863647,0.00008564488,0.00006304273,0.0001411391,0.000067557274,0.000009428912,0.000014053421,0.0023293511],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9993235,0.0000059323315,0.00038236225,0.00013279621,0.000007936957,0.00014745568],"domain_scores_gemma":[0.99909,0.00032039764,0.00026743932,0.00026408242,0.000033017805,0.000025020561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035721643,0.000065365384,0.00017351167,0.000049116024,0.00013283441,0.000039675968,0.00015590142,0.00002945375,0.00008389061],"category_scores_gemma":[0.00016130539,0.00004909864,0.000092487004,0.000035915942,0.00012656028,0.00013795812,0.000021215745,0.000018762645,0.00003816832],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025972018,0.000011427179,0.26622322,0.000027747865,0.000030149318,3.4408764e-8,0.0001820939,5.825874e-7,0.00006541834,0.71956414,0.0036181891,0.010251009],"study_design_scores_gemma":[0.0020552499,0.00012940005,0.5148724,0.000069740316,0.000022790522,0.0000041570943,0.00018989253,0.00009126069,0.0017095801,0.373472,0.106943786,0.00043979057],"about_ca_topic_score_codex":0.0000064650717,"about_ca_topic_score_gemma":0.00001878858,"teacher_disagreement_score":0.34609213,"about_ca_system_score_codex":0.000049241957,"about_ca_system_score_gemma":0.000015900468,"threshold_uncertainty_score":0.20021844},"labels":[],"label_agreement":null},{"id":"W2551732285","doi":"10.1111/1756-2171.12163","title":"Understanding in‐house transactions in the real estate brokerage industry","year":2016,"lang":"en","type":"article","venue":"The RAND Journal of Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Incentive; Real estate; Business; Database transaction; Promotion (chess); Matching (statistics); Transaction data; Finance; Transaction cost; Industrial organization; Microeconomics; Economics; Database; Computer science","score_opus":0.11826982432481944,"score_gpt":0.2301209047459946,"score_spread":0.11185108042117514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2551732285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9562251,0.000055318513,0.0029707407,0.004308577,0.000503565,0.00011361489,0.000018754965,0.0000060291386,0.03579831],"genre_scores_gemma":[0.9859779,0.013531021,0.000053905,0.00015436247,0.00014650781,0.0000028891268,1.9407531e-7,0.00002622014,0.000107033055],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99849856,0.00005778309,0.0010036835,0.00014376605,0.000015928847,0.000280286],"domain_scores_gemma":[0.9987019,0.0004261041,0.00056695164,0.000242544,0.000009211605,0.000053311196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002856667,0.00013016257,0.0003882579,0.00029025474,0.000101853504,0.00010102639,0.00041989126,0.00014555156,0.00015717803],"category_scores_gemma":[0.00004106287,0.00008239119,0.00015061379,0.00012979767,0.00009936082,0.0004596416,0.000012008056,0.00048465366,0.00003618341],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032330912,0.001093582,0.45248002,0.000095506,0.0007455393,0.00021880303,0.05013232,0.07913823,0.000070276255,0.27956834,0.0016499222,0.13157436],"study_design_scores_gemma":[0.032295853,0.0007211508,0.103672676,0.00045578502,0.00011853244,0.00079039816,0.018131413,0.013022432,0.00016660287,0.7481184,0.0804201,0.0020866736],"about_ca_topic_score_codex":0.00016134695,"about_ca_topic_score_gemma":0.0015867456,"teacher_disagreement_score":0.46855003,"about_ca_system_score_codex":0.00045956118,"about_ca_system_score_gemma":0.000063730855,"threshold_uncertainty_score":0.33598152},"labels":[],"label_agreement":null},{"id":"W2552050642","doi":"10.1177/2394964316674755","title":"Value Expectation, Expression and Estimation","year":2016,"lang":"en","type":"article","venue":"Journal of Creating Value","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Value (mathematics); Estimation; Conventional PCI; Expression (computer science); Perspective (graphical); Meaning (existential); Econometrics; Economics; Statistics; Positive economics; Mathematics; Epistemology; Psychology; Computer science; Philosophy; Management","score_opus":0.01875200779861173,"score_gpt":0.2284863731238486,"score_spread":0.20973436532523687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2552050642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9223073,0.00027669102,0.05260837,0.0004720203,0.00030848576,0.00004280933,0.0000040674754,0.000011276499,0.023968954],"genre_scores_gemma":[0.9760111,0.00024206248,0.023309367,0.000040099603,0.00019483092,0.0000011309639,4.2371747e-7,0.000014279831,0.00018669013],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99908584,0.0000202965,0.0006293674,0.000116968295,0.000030299147,0.00011720934],"domain_scores_gemma":[0.99882793,0.00018489921,0.0007805372,0.00009781974,0.000040343497,0.000068441324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076193624,0.00007957173,0.000243788,0.00016147296,0.00008992545,0.00005811195,0.000082341176,0.000054723634,0.00008951698],"category_scores_gemma":[0.0006169916,0.00006358634,0.00006256992,0.000049016027,0.00003070443,0.00047387058,0.000021175525,0.00006123734,0.000029171695],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035713505,0.00026510548,0.48815355,0.00016337898,0.00020115067,0.000026523569,0.009157892,0.0068452237,0.017674867,0.33173355,0.0043901796,0.14103147],"study_design_scores_gemma":[0.009318151,0.0010675914,0.249065,0.0020464833,0.00008724379,0.0004744974,0.0011625913,0.07375178,0.019263916,0.62399095,0.018277831,0.0014939803],"about_ca_topic_score_codex":0.000011951667,"about_ca_topic_score_gemma":4.212143e-7,"teacher_disagreement_score":0.2922574,"about_ca_system_score_codex":0.00007680717,"about_ca_system_score_gemma":0.000018828263,"threshold_uncertainty_score":0.25929755},"labels":[],"label_agreement":null},{"id":"W2553061511","doi":"10.1016/j.tej.2016.10.012","title":"KWh effects of residential optional dynamic pricing: Winter evidence from British Columbia, Canada","year":2016,"lang":"en","type":"article","venue":"The Electricity Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Education University of Hong Kong","keywords":"Environmental science; Economics","score_opus":0.008945166370225435,"score_gpt":0.18265789525173565,"score_spread":0.1737127288815102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2553061511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98843956,0.0017604365,0.0067914603,0.0010207936,0.0009588566,0.00011398962,0.000033365515,0.000009684256,0.00087187137],"genre_scores_gemma":[0.9963325,0.0017726844,0.00013317192,0.00015157397,0.00029662318,0.0000030057984,0.0000011753174,0.000019679444,0.001289547],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986346,0.00005932544,0.0006437491,0.00022938944,0.00008514156,0.0003478092],"domain_scores_gemma":[0.9983959,0.00064779486,0.00058472075,0.00021529978,0.00006174808,0.00009448705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074963755,0.000098158154,0.00034320838,0.00006350292,0.00025097237,0.0002655247,0.0004665543,0.00006552109,0.0006485076],"category_scores_gemma":[0.0006358599,0.0001059406,0.00012556287,0.00015475247,0.00006654278,0.00029847413,0.000060708273,0.00025112063,0.000032920634],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024939043,0.000200677,0.8138676,0.000090386166,0.0007147363,0.00016945579,0.0003830886,0.00012990505,0.005150646,0.0004640862,0.1049303,0.07364969],"study_design_scores_gemma":[0.0015792832,0.00020160638,0.9443283,0.00057722256,0.000055366396,0.00029373835,0.000013476215,0.0010198293,0.0008991039,0.045657646,0.00484953,0.00052488025],"about_ca_topic_score_codex":0.5466466,"about_ca_topic_score_gemma":0.83884895,"teacher_disagreement_score":0.29220238,"about_ca_system_score_codex":0.00064844784,"about_ca_system_score_gemma":0.00031390096,"threshold_uncertainty_score":0.7100704},"labels":[],"label_agreement":null},{"id":"W2553302343","doi":"10.5539/ibr.v9n12p103","title":"A Study on Housing Price in Klang Valley, Malaysia","year":2016,"lang":"en","type":"article","venue":"International Business Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Speculation; Inflation (cosmology); Price index; Order (exchange); Index (typography); Government (linguistics); Population; Inflation rate; Economics; House price; Sample (material); Business; Agricultural economics; Finance; Monetary economics; Interest rate; Econometrics; Demography","score_opus":0.12395286593823217,"score_gpt":0.3405225540231531,"score_spread":0.21656968808492094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2553302343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82285285,0.00002056225,0.0004036068,0.0033237864,0.0005119664,0.00021690375,0.000015119352,0.000022981118,0.17263223],"genre_scores_gemma":[0.9976578,0.00012831853,0.000079260375,0.000054510263,0.00025646898,0.000047786667,0.0000035052049,0.000029788858,0.0017425943],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854296,0.00004563752,0.0004446912,0.0004531902,0.00013494787,0.00037858178],"domain_scores_gemma":[0.9991043,0.0002828729,0.00010021136,0.00028870723,0.00016985409,0.000054024084],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018175907,0.00011188402,0.00021439196,0.0010295935,0.000073800205,0.00015381853,0.00050238083,0.00006526022,0.0006439309],"category_scores_gemma":[0.00070469873,0.000101555626,0.000039324692,0.0005096494,0.00006143188,0.0003127451,0.0001978791,0.0001851309,0.0020256385],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016744879,0.0006395106,0.97594076,0.000008563362,0.0000431269,0.0000808913,0.00041976874,0.00021546683,0.000098576726,0.015956005,0.0006469926,0.0057828915],"study_design_scores_gemma":[0.0015589725,0.00007450492,0.96480566,0.000091540285,6.7895337e-7,0.000004066183,0.00019865172,0.0004724095,0.0000337949,0.015949205,0.016579688,0.00023083176],"about_ca_topic_score_codex":0.00044193806,"about_ca_topic_score_gemma":0.000114203904,"teacher_disagreement_score":0.17480493,"about_ca_system_score_codex":0.00053006515,"about_ca_system_score_gemma":0.000043332457,"threshold_uncertainty_score":0.9987514},"labels":[],"label_agreement":null},{"id":"W2553508139","doi":"10.5736/jares.26.2_89","title":"Existing Housing Market and Housing Chain","year":2012,"lang":"en","type":"article","venue":"The Japanese Journal of Real Estate Sciences","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Real estate; Business; Imperfect; Scale (ratio); Estate; Perfect information; Marketing; Commerce; Industrial organization; Finance; Economics; Microeconomics","score_opus":0.06119262348760622,"score_gpt":0.2629458852846886,"score_spread":0.20175326179708236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2553508139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.874397,0.00015622578,0.00010745553,0.00035853428,0.00035082983,0.000039267212,0.0000012798117,0.000009543087,0.124579854],"genre_scores_gemma":[0.9962206,0.0017780964,0.001653327,0.000065407316,0.00022396105,4.4833806e-7,8.2791686e-8,0.000009562441,0.000048519953],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988529,0.00004808797,0.00053488143,0.00012309004,0.0000600184,0.00038101102],"domain_scores_gemma":[0.99885267,0.00025262797,0.00063644553,0.00010350472,0.000027093,0.00012763678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006954606,0.00010315933,0.0002591766,0.0001814873,0.0004791745,0.00017665466,0.0002673486,0.000028360624,0.00004412459],"category_scores_gemma":[0.0002068676,0.0000750117,0.000059477217,0.00025853055,0.00036294226,0.00090205297,0.00006562081,0.00013029201,0.000009495782],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013192173,0.00009755674,0.8325975,0.00003740101,0.000054832093,0.000012350891,0.031361125,0.0015009517,0.00045118455,0.008582733,0.0001454898,0.12502693],"study_design_scores_gemma":[0.003577065,0.0011595663,0.74304616,0.00033173538,0.000110051034,0.0026485133,0.070579015,0.103455104,0.0007207984,0.048267044,0.023866057,0.0022388739],"about_ca_topic_score_codex":0.0003539362,"about_ca_topic_score_gemma":0.000029111201,"teacher_disagreement_score":0.124531336,"about_ca_system_score_codex":0.000051476287,"about_ca_system_score_gemma":0.00002317617,"threshold_uncertainty_score":0.3685471},"labels":[],"label_agreement":null},{"id":"W2558255075","doi":"10.2139/ssrn.2502889","title":"Credit Cycles and Financial Statement Verification","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Financial statement; Statement (logic); Business; Letter of credit; Financial statement analysis; Accounting; Actuarial science; Finance; Financial system; Economics; Financial ratio; Political science; Audit; Law","score_opus":0.011382377649437562,"score_gpt":0.20063929374365325,"score_spread":0.1892569160942157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2558255075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92890924,0.0014019354,0.044708274,0.0011727875,0.00060033833,0.000088136265,0.000007451502,0.0000280004,0.023083853],"genre_scores_gemma":[0.9912288,0.00757686,0.00022475202,0.000106659514,0.00042351312,0.00000336256,0.000004314783,0.000016465581,0.00041523416],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984674,0.000016705908,0.00040926773,0.00019614385,0.000021122925,0.00088939763],"domain_scores_gemma":[0.9995179,0.000021734924,0.00025751596,0.00012550893,0.000015068716,0.00006225727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022496488,0.000097738885,0.00018873818,0.00010724589,0.00017945684,0.00009618992,0.00012280342,0.000059428017,0.00005621603],"category_scores_gemma":[0.00010871839,0.00011334216,0.000049528004,0.000048828024,0.00003207202,0.00020751923,0.000021975236,0.00044609365,0.00014891347],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026531929,0.000030199444,0.015418763,0.0000059784907,0.000025883266,2.3726388e-7,0.0001538095,0.000038923703,0.000011784251,0.9216084,0.00034259402,0.06233688],"study_design_scores_gemma":[0.00059906,0.00016334359,0.01267686,0.000005464914,0.0000058819774,0.000034894765,0.0001321168,0.00188821,0.00001272913,0.87579834,0.10847897,0.00020415099],"about_ca_topic_score_codex":0.00005005195,"about_ca_topic_score_gemma":0.00014285823,"teacher_disagreement_score":0.10813638,"about_ca_system_score_codex":0.0003940777,"about_ca_system_score_gemma":0.00015188308,"threshold_uncertainty_score":0.46219593},"labels":[],"label_agreement":null},{"id":"W2560920227","doi":"10.5539/ijef.v9n1p194","title":"The Determinants of Chinese Property Prices","year":2016,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Science Foundation of China University of Petroleum, Beijing; China University of Petroleum, Beijing","keywords":"Boom; China; Loan; Monetary economics; Economics; Sample (material); Order (exchange); Property (philosophy); Residential property; Finance; Economic geography; History","score_opus":0.01883955952503446,"score_gpt":0.22434683318373583,"score_spread":0.20550727365870136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560920227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99070835,0.0007976488,0.00012430557,0.0016625427,0.0012877312,0.00004195651,0.000037835398,0.0000015139436,0.005338122],"genre_scores_gemma":[0.96104145,0.037825506,0.000415509,0.000049381542,0.00020574799,0.0000016319391,2.0304257e-7,0.00001040388,0.00045018314],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.998851,0.0000052812543,0.0008697182,0.00013023612,0.000017881399,0.00012590953],"domain_scores_gemma":[0.9983457,0.00013751477,0.0012618299,0.00012968927,0.00009689566,0.00002838621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006422926,0.000093582705,0.00028707017,0.00010100801,0.00005497316,0.00006698433,0.00044370245,0.00004429157,0.000016668782],"category_scores_gemma":[0.00015889436,0.00005046404,0.000105820334,0.000028314438,0.00012583652,0.00037081246,0.000074624506,0.00005590185,0.000014775582],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035187195,0.000097033575,0.49686164,0.000010208504,0.00018455867,0.0000099582885,0.00032696585,0.00020557255,0.000031441814,0.16806032,0.00034129125,0.33351916],"study_design_scores_gemma":[0.002456963,0.00027721483,0.12061785,0.00012895513,0.000007810752,0.00019232703,0.000043888776,0.008711208,0.00039481465,0.31202486,0.5547357,0.00040837473],"about_ca_topic_score_codex":0.000018520203,"about_ca_topic_score_gemma":0.000050354673,"teacher_disagreement_score":0.5543944,"about_ca_system_score_codex":0.00005944992,"about_ca_system_score_gemma":0.00003669449,"threshold_uncertainty_score":0.20578639},"labels":[],"label_agreement":null},{"id":"W2561065268","doi":"10.3233/hsm-160874","title":"The real estate crash of 2007-8 as a systemic failure","year":2016,"lang":"en","type":"article","venue":"Human Systems Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Crash; Business; Real estate; Computer science; Finance; Operating system","score_opus":0.018935999819038932,"score_gpt":0.20832495567604345,"score_spread":0.18938895585700452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2561065268","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2974102,0.00019668428,0.00062125456,0.00020321849,0.0010551115,0.00057207176,0.0000270203,0.00006552703,0.6998489],"genre_scores_gemma":[0.9752511,0.0031136544,0.00003018295,0.000013414487,0.00015955584,0.000080783204,0.0000027613166,0.00003531251,0.021313258],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99825084,0.000034888195,0.00094793364,0.00035819376,0.00005227255,0.00035584933],"domain_scores_gemma":[0.9984923,0.00006280611,0.0006550134,0.0006965695,0.000028409424,0.00006489042],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012220356,0.00016816842,0.0003939655,0.00016038805,0.0002254286,0.00013926545,0.0004312975,0.0000633812,0.00013742046],"category_scores_gemma":[0.000014501743,0.00012352932,0.00011653819,0.000088414534,0.00008351851,0.00013950435,0.00013624868,0.000050058254,0.0014885169],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021631267,0.000045653494,0.0216937,0.00047342834,0.00029438292,0.000015020448,0.0003864852,0.00007700263,0.000050720028,0.95124125,0.01762296,0.008077737],"study_design_scores_gemma":[0.001995143,0.00016543991,0.012061081,0.00063454657,0.000042793105,0.000020544081,0.0023170735,0.00035600192,0.000021361357,0.014658678,0.966994,0.000733337],"about_ca_topic_score_codex":0.000589032,"about_ca_topic_score_gemma":0.00009396779,"teacher_disagreement_score":0.94937104,"about_ca_system_score_codex":0.00020193122,"about_ca_system_score_gemma":0.000007825665,"threshold_uncertainty_score":0.9992889},"labels":[],"label_agreement":null},{"id":"W2561486048","doi":"","title":"Aboriginal Housing Assessment","year":2004,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Government of Canada","keywords":"Business","score_opus":0.08635651809728992,"score_gpt":0.30347143580263236,"score_spread":0.21711491770534244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2561486048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9737383,0.00006498807,0.0076154303,0.00038753095,0.0006781348,0.0001802557,0.00004480402,0.00018200684,0.017108545],"genre_scores_gemma":[0.9970534,0.00029283555,0.0006244168,0.0003123143,0.00017460852,0.0000010207651,0.000020519714,0.00005972141,0.001461155],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99815625,0.00003659001,0.00045280383,0.0006927389,0.00007156682,0.00059006],"domain_scores_gemma":[0.99875975,0.000033496628,0.00035727702,0.00054781046,0.000046936053,0.00025475],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00057172164,0.00030552867,0.00048038544,0.0005968851,0.00032765046,0.00041332646,0.00062582456,0.00020834396,0.00010560115],"category_scores_gemma":[0.000012461125,0.00043020654,0.0001899855,0.00040102724,0.000106830055,0.0017620651,0.00011160581,0.00048979704,0.0012279514],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030696905,0.00010727479,0.98331606,0.000024337496,0.00005173838,0.0001238403,0.00023279397,0.00038568172,0.00003269467,0.015416275,6.0093873e-7,0.00027799184],"study_design_scores_gemma":[0.002104303,0.00010880139,0.9544451,0.000082983475,0.00002769056,0.000022941194,0.00012219159,0.000002443942,0.00019337027,0.0087558925,0.033403937,0.0007303396],"about_ca_topic_score_codex":0.000027596196,"about_ca_topic_score_gemma":0.00087821827,"teacher_disagreement_score":0.033403337,"about_ca_system_score_codex":0.0009652876,"about_ca_system_score_gemma":0.00013281494,"threshold_uncertainty_score":0.999815},"labels":[],"label_agreement":null},{"id":"W2562518585","doi":"10.3141/2543-12","title":"Value of Transit as Reflected in U.S. Single-Family Home Premiums","year":2016,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transit (satellite); Meta-analysis; Public transport; Transport engineering; Transit-oriented development; Value (mathematics); Walkability; Single family; Sample (material); Regression analysis; Demographic economics; Geography; Econometrics; Business; Built environment; Economics; Statistics; Mathematics; Engineering; Finance; Medicine","score_opus":0.10900075370386568,"score_gpt":0.33181031144877404,"score_spread":0.22280955774490835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2562518585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898246,0.00032980056,0.0016001071,0.0030867711,0.0005250528,0.00059471803,0.00011648345,0.000016245314,0.0039062048],"genre_scores_gemma":[0.9956463,0.0026330734,0.00090997934,0.000037490627,0.000107500484,0.000027400549,0.0000063815614,0.000061637926,0.0005702099],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9949071,0.0004784673,0.002523795,0.00047799418,0.00074707734,0.0008655857],"domain_scores_gemma":[0.99642414,0.00091668195,0.0008157659,0.0005201085,0.001050693,0.00027262716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060984,0.00023065627,0.00076306635,0.001797371,0.00018869629,0.000069592745,0.0010531605,0.00025448488,0.00049003086],"category_scores_gemma":[0.00030241092,0.00017960116,0.00042532882,0.0019166479,0.00057789526,0.0007663633,0.0000069829766,0.0011060078,0.000076648095],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004031858,0.0008890968,0.8826446,0.00038992104,0.00023706148,0.00010922909,0.004392955,0.001233526,0.032930367,0.053028323,0.0017210586,0.018392004],"study_design_scores_gemma":[0.00277771,0.0007521365,0.93049544,0.00050918583,0.000013772069,5.89129e-7,0.00048258028,0.00007124697,0.00282499,0.052576587,0.00924736,0.00024838172],"about_ca_topic_score_codex":0.008527419,"about_ca_topic_score_gemma":0.016214289,"teacher_disagreement_score":0.04785086,"about_ca_system_score_codex":0.00046579412,"about_ca_system_score_gemma":0.00038437993,"threshold_uncertainty_score":0.9980749},"labels":[],"label_agreement":null},{"id":"W2563275688","doi":"10.7939/r32v2cd94","title":"Foreign Investment in Real Estate in Canada: Key Issues","year":2015,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Key (lock); Business; Foreign direct investment; Finance; Economics; Computer science; Computer security","score_opus":0.02272685833011087,"score_gpt":0.16267776823492755,"score_spread":0.13995090990481668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563275688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54166454,0.000026764512,0.0000011750303,0.00043488597,0.000043537086,0.000040882485,0.0000059738663,0.0000034933696,0.45777875],"genre_scores_gemma":[0.9940521,0.0013868844,0.00084120384,0.00014542368,0.000014486205,1.504215e-7,0.00003072037,0.000012790308,0.0035162224],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994026,0.000013198239,0.00021511297,0.00018001226,0.000016560636,0.00017251632],"domain_scores_gemma":[0.9995973,0.000040058192,0.000113947426,0.00015130236,0.000003598514,0.000093759685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009901634,0.00007634629,0.00025147558,0.00019154522,0.000015059036,0.000009984845,0.00019873538,0.00004393498,0.00021960361],"category_scores_gemma":[0.000014701582,0.00011244007,0.000026843587,0.00014389257,0.00003258976,0.00054440676,0.00009317646,0.00006848576,0.0000408178],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006879147,0.000036013258,0.94052833,0.000012673645,0.000010394891,0.000032337502,0.0048360596,0.0005375212,1.5786458e-7,0.044972286,0.008508439,0.00045697996],"study_design_scores_gemma":[0.0039312635,0.00012347336,0.35099176,0.00006724902,0.000006060069,0.0000023522498,0.013258975,0.016754275,0.000050583385,0.047404256,0.56666034,0.0007494396],"about_ca_topic_score_codex":0.9773657,"about_ca_topic_score_gemma":0.9564582,"teacher_disagreement_score":0.5895366,"about_ca_system_score_codex":0.00029956174,"about_ca_system_score_gemma":0.0003762608,"threshold_uncertainty_score":0.4585173},"labels":[],"label_agreement":null},{"id":"W2564090438","doi":"10.1515/ngoe-2016-0021","title":"The Panel VAR Approach to Modelling the Housing Wealth Effect: Evidence from selected European post-transition economies","year":2016,"lang":"en","type":"article","venue":"Our Economy Journal of Contemporary Issues in Economics and Business","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Hrvatska Zaklada za Znanost","keywords":"Shock (circulatory); Economics; Vector autoregression; Quarter (Canadian coin); Consumption (sociology); Panel data; Econometrics; Structural vector autoregression; Autoregressive model; Inflation (cosmology); Identification (biology); Macroeconomics; Monetary economics; Monetary policy","score_opus":0.0383287446517607,"score_gpt":0.21897248696268717,"score_spread":0.18064374231092648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2564090438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95135534,0.006244752,0.010668215,0.0199009,0.0009219441,0.00048601913,0.000061304185,0.000021736438,0.010339813],"genre_scores_gemma":[0.9815687,0.016133452,0.00092414685,0.00040272748,0.0007927331,0.000013800123,0.000006805434,0.000072190975,0.00008545967],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99688613,0.00019163585,0.0018648561,0.0005585424,0.000028190303,0.00047065367],"domain_scores_gemma":[0.9970482,0.0006663747,0.0014067983,0.0005046151,0.00018801157,0.00018598587],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0039798985,0.00038673595,0.0009627783,0.00034346612,0.00037077058,0.0006612301,0.0007730042,0.00012262956,0.0000085350275],"category_scores_gemma":[0.00020752914,0.00026576777,0.0001633808,0.0002034156,0.00012759095,0.0017798244,0.00014350087,0.00028205686,0.00006087199],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0085865855,0.000982509,0.28710726,0.00059241406,0.002524409,0.00012826105,0.025492499,0.31027097,0.00027880687,0.060151678,0.0060026385,0.29788196],"study_design_scores_gemma":[0.014885103,0.0017016747,0.09404206,0.0030440812,0.00020286387,0.00041172706,0.0071325824,0.18883896,0.00057596026,0.08043264,0.60339814,0.005334188],"about_ca_topic_score_codex":0.0007401223,"about_ca_topic_score_gemma":0.00011088939,"teacher_disagreement_score":0.59739554,"about_ca_system_score_codex":0.00027498606,"about_ca_system_score_gemma":0.00017588839,"threshold_uncertainty_score":0.99997944},"labels":[],"label_agreement":null},{"id":"W2567104575","doi":"10.1515/jssi-2014-0047","title":"A Dynamic Model of Housing Wealth Effect: Based on the Diversity of Wealth Expectations","year":2014,"lang":"en","type":"article","venue":"系统科学与信息学报(英文)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Fallacy; Diversity (politics); Economics; Consumption (sociology); Inequality; Function (biology); Wealth effect; Microeconomics; Sociology; Mathematics; Social science; Macroeconomics","score_opus":0.022332137012886884,"score_gpt":0.21097088741466796,"score_spread":0.18863875040178107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2567104575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.927594,0.00004115992,0.021645205,0.0005901314,0.00021941593,0.00024899896,0.00009829406,0.000036275444,0.049526487],"genre_scores_gemma":[0.9985133,0.0000407359,0.0010967987,0.00020849757,0.000023067169,0.000008069735,0.000009636128,0.00002565515,0.00007425586],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883133,0.00005405295,0.0005126315,0.00029024846,0.000049825656,0.00026193555],"domain_scores_gemma":[0.9984406,0.00040059836,0.0005521837,0.00050997466,0.000029787354,0.00006680412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001088382,0.00015345527,0.00046481143,0.00022981313,0.0002721824,0.000020535414,0.00031432832,0.00008856477,0.000072934774],"category_scores_gemma":[0.00020089,0.00014799394,0.00016679734,0.00018299179,0.0001031713,0.00009424212,0.000109226,0.00014737714,0.000069511094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064333796,0.0010435813,0.3399621,0.0009999718,0.00023300042,0.0000015700118,0.008694557,0.27188134,0.00031385865,0.35643932,0.0019599327,0.017827418],"study_design_scores_gemma":[0.0006052027,0.00017879678,0.006160766,0.00003824962,0.000012508499,1.6335957e-7,0.00009340471,0.98205215,0.00011644604,0.010438631,0.00013667849,0.00016700035],"about_ca_topic_score_codex":0.00032359353,"about_ca_topic_score_gemma":0.0001374552,"teacher_disagreement_score":0.7101708,"about_ca_system_score_codex":0.00014193497,"about_ca_system_score_gemma":0.000043067386,"threshold_uncertainty_score":0.6035018},"labels":[],"label_agreement":null},{"id":"W2573109","doi":"","title":"Essays on Capital Gains, Household Consumption and Corporate Payout Policy","year":2012,"lang":"en","type":"article","venue":"Die Quintessenz","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Monetary economics; Dividend; Cost of capital; Capital gain; Capital gains tax; Labour economics; Tax rate; Capital (architecture); Consumption (sociology); Financial economics; International taxation; Tax reform; Microeconomics; Finance; Profit (economics); Public economics","score_opus":0.09847843143060893,"score_gpt":0.24853648804704945,"score_spread":0.1500580566164405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2573109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93781614,0.0010237687,0.00019247767,0.0003823683,0.0006037156,0.00012706143,0.00014704796,0.00008539549,0.059622005],"genre_scores_gemma":[0.99663913,0.0016244465,0.00012494878,0.00053907535,0.00046600387,0.000018976725,0.00003000765,0.00004745821,0.0005099639],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99879354,0.000015624224,0.00040022083,0.00030432624,0.000023555558,0.0004627375],"domain_scores_gemma":[0.99909616,0.00007254196,0.00034396982,0.0002860829,0.000012338926,0.00018892824],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00049038196,0.00019611261,0.00033268277,0.00025162377,0.0001173506,0.000099243145,0.00011252086,0.00011345294,0.00012588919],"category_scores_gemma":[0.000120468256,0.00022552327,0.000071391725,0.0000747313,0.000109267,0.0003340519,0.000062534826,0.00015425585,0.0011212374],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045850862,0.00015828505,0.54941696,0.000050130835,0.000041598632,0.0000040108303,0.0009478485,0.00002595024,0.000037399,0.44425005,0.0018346171,0.0031873148],"study_design_scores_gemma":[0.004056638,0.0004999138,0.65909165,0.00018585271,0.00005083304,0.00007161719,0.00080975855,0.0034908762,0.0011151971,0.18041454,0.14722228,0.002990862],"about_ca_topic_score_codex":0.00020656506,"about_ca_topic_score_gemma":0.000031179006,"teacher_disagreement_score":0.26383552,"about_ca_system_score_codex":0.0001301285,"about_ca_system_score_gemma":0.000015005395,"threshold_uncertainty_score":0.9996565},"labels":[],"label_agreement":null},{"id":"W2576168925","doi":"10.1177/0042098016681704","title":"Is something better than nothing? The impact of foreclosed and lease-purchase properties on residential property values","year":2017,"lang":"en","type":"article","venue":"Urban Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Foreclosure; Externality; Property value; Lease; Residential property; Economics; Value (mathematics); Hedonic pricing; Public economics; Microeconomics; Real estate; Finance; Economic geography; Econometrics","score_opus":0.12190189501422126,"score_gpt":0.29404043564333826,"score_spread":0.172138540629117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2576168925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9836114,0.002806446,0.0000102594095,0.0026275867,0.00027472788,0.00022204802,0.00003892519,0.00001776818,0.010390856],"genre_scores_gemma":[0.99700755,0.000671718,0.00007747553,0.00023872298,0.00024012936,0.000015899797,8.0084067e-7,0.000024107663,0.001723624],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99896365,0.000019801588,0.00040314085,0.0003204801,0.000038716542,0.0002542172],"domain_scores_gemma":[0.9988185,0.00007294597,0.00046095773,0.00056525855,0.000043962027,0.000038380284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073362567,0.00019076266,0.00048412508,0.00011041135,0.0010175343,0.0003150733,0.00030384318,0.00006067317,0.00002726645],"category_scores_gemma":[0.00051391014,0.00010967552,0.00017579627,0.000030076404,0.00055912515,0.00032428774,0.00022487006,0.00015183979,0.000041868014],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004984677,0.00017083688,0.85793054,0.00026139768,0.0017152318,0.000007952566,0.096915096,0.000055415167,0.00019458396,0.0021346603,0.02838958,0.011726215],"study_design_scores_gemma":[0.0058299266,0.002146262,0.8109652,0.001047909,0.00025020246,0.000017225471,0.006450485,0.013517568,0.0068824594,0.12370727,0.02663327,0.002552268],"about_ca_topic_score_codex":0.0014283733,"about_ca_topic_score_gemma":0.000044796263,"teacher_disagreement_score":0.12157261,"about_ca_system_score_codex":0.00007432665,"about_ca_system_score_gemma":0.000021173148,"threshold_uncertainty_score":0.78261536},"labels":[],"label_agreement":null},{"id":"W2583619991","doi":"10.1257/pol.20130426","title":"Understanding Consumption Behavior: Evidence from Consumers' Reaction to Shopping Vouchers","year":2017,"lang":"en","type":"article","venue":"American Economic Journal Economic Policy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Voucher; Payment; Marginal propensity to consume; Consumption (sociology); Boosting (machine learning); Quarter (Canadian coin); Supplemental Nutrition Assistance Program; Consumer behaviour; Economics; Survey data collection; Stimulus (psychology); Business; Advertising; Marketing; Public economics; Monetary economics; Finance; Psychology; Computer science; Accounting","score_opus":0.20398215995029356,"score_gpt":0.33419112083722036,"score_spread":0.1302089608869268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2583619991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95995563,0.00014308367,0.0028712768,0.0047705444,0.0029532658,0.00033069545,0.00026966888,0.00007794405,0.028627886],"genre_scores_gemma":[0.9920313,0.0040779766,0.0010943246,0.0007135831,0.0016519785,0.000035581514,0.000012045598,0.00010611908,0.0002771149],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963883,0.00005612386,0.0016018193,0.0009601397,0.000036897905,0.0009566823],"domain_scores_gemma":[0.99469346,0.00027013585,0.003055197,0.0012407464,0.000017736313,0.00072274136],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014033639,0.00047200048,0.0011273705,0.000866903,0.0013060188,0.0015799946,0.0012120387,0.00016198204,0.00088478945],"category_scores_gemma":[0.00038938774,0.0006533089,0.00038515023,0.000050750503,0.00059809664,0.002339357,0.00027990234,0.00053961534,0.0072309794],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025886795,0.00006286761,0.9330005,0.000013287756,0.0004788781,0.000024541558,0.0012785991,0.0017090428,0.0004014583,0.028030131,0.0042145844,0.030527255],"study_design_scores_gemma":[0.0045349207,0.00060275657,0.83889556,0.000460556,0.00024194879,0.0005155753,0.0029758227,0.016139533,0.0002717212,0.05180695,0.079016574,0.0045380844],"about_ca_topic_score_codex":0.0251865,"about_ca_topic_score_gemma":0.0029154758,"teacher_disagreement_score":0.09410492,"about_ca_system_score_codex":0.008953685,"about_ca_system_score_gemma":0.00044542272,"threshold_uncertainty_score":0.99999416},"labels":[],"label_agreement":null},{"id":"W2583925914","doi":"10.1007/s10901-017-9541-x","title":"Real estate prices in Kenya: is there a bubble?","year":2017,"lang":"en","type":"article","venue":"Journal of Housing and the Built Environment","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cointegration; Economics; Real estate; Diaspora; House price; Inflation (cosmology); Granger causality; Price index; Index (typography); Monetary economics; Quarter (Canadian coin); Economic bubble; Macroeconomics; Econometrics; Finance; Geography","score_opus":0.02358112830090655,"score_gpt":0.21631478684297176,"score_spread":0.1927336585420652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2583925914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95657986,0.00068980176,0.00017227254,0.0021607317,0.00021692237,0.00006746068,0.000004896503,0.0000026487992,0.040105417],"genre_scores_gemma":[0.9489725,0.049999095,0.00070514437,0.000059721195,0.00011870875,0.0000012699721,1.7031272e-7,0.0000161594,0.00012722319],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906474,0.00001478541,0.00054990593,0.00014811568,0.000037373982,0.00018507284],"domain_scores_gemma":[0.99852484,0.00005216566,0.0010297776,0.0003345499,0.000004175124,0.00005446786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014081828,0.000113292386,0.0003777198,0.000087466084,0.00025741232,0.00021799517,0.00030372618,0.00005464336,0.0000643095],"category_scores_gemma":[0.00003763034,0.000086995846,0.00009937007,0.00001553002,0.00021025764,0.00024573234,0.00011031578,0.0001870153,0.000029232115],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008764901,0.00034928034,0.835878,0.00007026031,0.00032298305,0.0001257447,0.009695132,0.0023826328,0.000059624846,0.01152595,0.0005507894,0.1381631],"study_design_scores_gemma":[0.0093404,0.00025780723,0.7632843,0.00016203104,0.000066108696,0.00010929516,0.0007964882,0.008051887,0.00013220974,0.08902067,0.12813136,0.00064741675],"about_ca_topic_score_codex":0.0007356963,"about_ca_topic_score_gemma":0.000055900477,"teacher_disagreement_score":0.1375157,"about_ca_system_score_codex":0.000093793526,"about_ca_system_score_gemma":0.000011787538,"threshold_uncertainty_score":0.35475877},"labels":[],"label_agreement":null},{"id":"W2585083125","doi":"10.1109/icdm.2016.0134","title":"House Price Modeling over Heterogeneous Regions with Hierarchical Spatial Functional Analysis","year":2016,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"House price; Spatial analysis; Feature (linguistics); Cluster analysis; Computation; Regression analysis; Scale (ratio); Value (mathematics)","score_opus":0.03146952937600047,"score_gpt":0.1957523144096469,"score_spread":0.16428278503364643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2585083125","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3790032,0.00002228342,0.5971575,0.00054416526,0.00010728107,0.00006001506,0.000023485982,0.0000953253,0.022986779],"genre_scores_gemma":[0.9965176,0.00011270112,0.0015815262,0.0002255866,0.0001709445,0.000009485392,0.0000070489227,0.00004006788,0.0013350348],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99872994,0.000010678847,0.00042363006,0.0004802319,0.00003646213,0.00031903907],"domain_scores_gemma":[0.99926597,0.00006688633,0.00013799049,0.00037235382,0.00002392819,0.00013289372],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022953495,0.00015650436,0.000355213,0.00036088013,0.000112738635,0.000069246336,0.00013408267,0.00009231465,0.0019947642],"category_scores_gemma":[0.000030737418,0.00012058851,0.00019736511,0.0002685101,0.00005677254,0.00019990471,0.000050693077,0.00008306193,0.0004925593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087198557,0.00051493844,0.53277564,0.000023780469,0.0035601242,0.00003403815,0.00034033792,0.20758042,0.000068506495,0.24421164,0.0018662807,0.008152313],"study_design_scores_gemma":[0.0021843088,0.00017463286,0.020998966,0.000015483452,0.00017179693,0.000027218968,0.000016064278,0.9272202,0.000042735126,0.03240022,0.01572955,0.0010188017],"about_ca_topic_score_codex":0.0004197107,"about_ca_topic_score_gemma":0.0007053611,"teacher_disagreement_score":0.71963984,"about_ca_system_score_codex":0.0001265723,"about_ca_system_score_gemma":0.000026923935,"threshold_uncertainty_score":0.9989175},"labels":[],"label_agreement":null},{"id":"W2586377461","doi":"10.5736/jares.24.2_139","title":"Empirical analysis regarding the sudden rise factor of real estate price","year":2010,"lang":"en","type":"article","venue":"The Japanese Journal of Real Estate Sciences","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Economics; Land price; Economic bubble; Granger causality; Stock (firearms); Asset (computer security); Stock price; Capitalization rate; Financial economics; Monetary economics; Real estate investment trust; Econometrics; Agricultural economics; Finance; Series (stratigraphy); Geography","score_opus":0.04520331789184956,"score_gpt":0.28582955020904033,"score_spread":0.24062623231719077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586377461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9167904,0.000010090923,0.000052102376,0.0011449612,0.0003455503,0.000067887646,0.000011793133,0.000008358565,0.08156883],"genre_scores_gemma":[0.99554825,0.0037079353,0.00050603156,0.00002868912,0.0001125093,0.0000010911349,4.1191652e-7,0.000008673507,0.000086423635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982369,0.000083151055,0.0009687876,0.00022083345,0.00014239512,0.00034791816],"domain_scores_gemma":[0.9974531,0.0006250452,0.0013492741,0.0003349717,0.00010823004,0.00012940212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005752689,0.00014145847,0.00051576924,0.0003848668,0.0004003579,0.00018158706,0.001029296,0.000053664953,0.00013013465],"category_scores_gemma":[0.0003555693,0.00008070567,0.00030802548,0.0011224346,0.00073041266,0.0005604248,0.00009153785,0.00034235584,0.000018600535],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023670419,0.00013536545,0.9189342,0.000017853654,0.0004962185,0.000016059888,0.040214468,0.007497822,0.001393028,0.0014471776,0.00016166022,0.02944939],"study_design_scores_gemma":[0.0011826523,0.0006255156,0.91467,0.000021420678,0.00030094408,0.0002283948,0.015802296,0.04954695,0.0007356696,0.008449858,0.0077700173,0.00066630414],"about_ca_topic_score_codex":0.0022380077,"about_ca_topic_score_gemma":0.0007662813,"teacher_disagreement_score":0.08148241,"about_ca_system_score_codex":0.00004173433,"about_ca_system_score_gemma":0.00009011799,"threshold_uncertainty_score":0.3383213},"labels":[],"label_agreement":null},{"id":"W2586883686","doi":"10.5539/mas.v11n3p120","title":"Analysis of the Low-Income Housing in Isfahan Metropolis","year":2017,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Decile; Index (typography); Gini coefficient; Poverty; Affordable housing; Population; Descriptive statistics; Economics; Household income; Per capita income; Socioeconomics; Demographic economics; Inequality; Business; Agricultural economics; Economic inequality; Economic growth; Geography; Statistics; Demography; Mathematics; Sociology","score_opus":0.025888312422720706,"score_gpt":0.23499611705272663,"score_spread":0.20910780463000592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586883686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87645364,0.000021019438,0.004860016,0.00011659446,0.00019927423,0.00009081311,0.000016345644,0.000008864926,0.11823341],"genre_scores_gemma":[0.99950725,0.000020916441,0.00031298405,0.000060116843,0.000019799005,0.000005270675,4.7926284e-7,0.00000969615,0.0000635161],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987304,0.0000043753494,0.0004326773,0.0004353983,0.00006376023,0.00033338243],"domain_scores_gemma":[0.99822766,0.00002280325,0.000529748,0.0011475435,0.000016985905,0.000055260556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013789146,0.00010313559,0.00040320863,0.00060886977,0.0005262895,0.00024944052,0.0013844068,0.000049359256,0.00004455592],"category_scores_gemma":[0.00011539732,0.00009778758,0.00012182505,0.000815798,0.0006838914,0.00028707445,0.00036186478,0.000107541615,0.000027041257],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011874667,0.000052163705,0.9277722,0.000012329049,0.000053874213,5.637184e-7,0.0009270325,0.004214396,0.0033549692,0.057818156,0.0000043962127,0.005778042],"study_design_scores_gemma":[0.00020461176,0.0000035892017,0.6434035,0.000007303263,0.000019443327,1.1830071e-7,0.000039144412,0.33294928,0.0010392617,0.022083644,0.00008320046,0.00016694951],"about_ca_topic_score_codex":0.0008180208,"about_ca_topic_score_gemma":0.0009471446,"teacher_disagreement_score":0.32873487,"about_ca_system_score_codex":0.00020127214,"about_ca_system_score_gemma":0.000048117698,"threshold_uncertainty_score":0.40478465},"labels":[],"label_agreement":null},{"id":"W2591439763","doi":"","title":"Origin Revenue Sources for Infrastructure Funding: A Case Study for Waterloo, Ontario","year":2017,"lang":"en","type":"article","venue":"Transportation Research Board 96th Annual MeetingTransportation Research Board","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Revenue; Business; Finance","score_opus":0.1428539399482284,"score_gpt":0.38025666963055293,"score_spread":0.23740272968232454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591439763","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870608,0.000071608025,0.0016792567,0.0007608063,0.0005852847,0.005068025,0.0026314175,0.000090601025,0.0020522224],"genre_scores_gemma":[0.9853003,0.00006764399,0.0039082384,0.00003725741,0.00048575204,0.0019092517,0.00037897064,0.00014732848,0.0077652363],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99405485,0.00018966457,0.0017080421,0.0015337331,0.0005558159,0.0019578643],"domain_scores_gemma":[0.9949844,0.00088490103,0.00069347175,0.0011729128,0.0016552735,0.0006090582],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.010773316,0.00045622658,0.00091174705,0.0012377386,0.004212614,0.0010653939,0.0011712982,0.00038879327,0.00047619094],"category_scores_gemma":[0.00086462614,0.00052454503,0.00039930886,0.0004178915,0.0006045556,0.0012554993,0.000027648346,0.0012180991,0.00009954959],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017912606,0.00051636685,0.92171514,0.0005693064,0.00027535588,0.00043398034,0.051550314,0.00075530837,0.000062144005,0.009609184,0.01042025,0.0023013914],"study_design_scores_gemma":[0.008399662,0.0025937809,0.64662606,0.00017562222,0.00008084022,0.000008368593,0.03920747,0.0008379974,0.0002169472,0.027185243,0.27339917,0.0012688338],"about_ca_topic_score_codex":0.2399225,"about_ca_topic_score_gemma":0.6658425,"teacher_disagreement_score":0.42592,"about_ca_system_score_codex":0.000594283,"about_ca_system_score_gemma":0.0005487319,"threshold_uncertainty_score":0.99997157},"labels":[],"label_agreement":null},{"id":"W2593641737","doi":"10.5430/ijfr.v8n2p1","title":"Housing Prices at the Time of QEs in California: Effect of Mortgage Rates","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bust; Interest rate; Economics; Boom; Monetary economics; Great recession; Recession; Macroeconomics; Labour economics","score_opus":0.056141715968494856,"score_gpt":0.3537307583359439,"score_spread":0.29758904236744904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593641737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860016,0.000365604,0.00003858843,0.0007317611,0.0003894935,0.00008482273,0.00005277277,9.946473e-7,0.012334341],"genre_scores_gemma":[0.9989785,0.0005082118,0.00006109852,0.000011012398,0.00022295857,0.0000019337053,0.0000014139814,0.000009821923,0.00020505756],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99872345,0.000056597455,0.00074840663,0.00011592466,0.00016671166,0.00018893766],"domain_scores_gemma":[0.99792403,0.0005553312,0.0010183679,0.00021033087,0.00025636726,0.000035601075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055378415,0.00007440092,0.00036486352,0.00041848206,0.00013767758,0.00009362293,0.0009463587,0.000068275986,0.00019114265],"category_scores_gemma":[0.0033489384,0.000060097438,0.00014062342,0.00007820826,0.00026585997,0.00024717767,0.0002531799,0.00029433382,0.000067462905],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011075693,0.00011761446,0.95344776,0.000055476437,0.00009339454,0.000061380146,0.00052059867,0.00035380365,0.0013768602,0.0042923037,0.0012721394,0.037301123],"study_design_scores_gemma":[0.002633675,0.0006339734,0.9361939,0.00039912853,0.000009852166,0.000029473871,0.000026791022,0.0026055137,0.02732644,0.01598209,0.01393218,0.00022699714],"about_ca_topic_score_codex":0.0004979657,"about_ca_topic_score_gemma":0.00021629494,"teacher_disagreement_score":0.037074126,"about_ca_system_score_codex":0.0002034221,"about_ca_system_score_gemma":0.00010235191,"threshold_uncertainty_score":0.4009234},"labels":[],"label_agreement":null},{"id":"W2594089732","doi":"","title":"Household Indebtedness and Housing Prices in Australia","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Collateral; Household debt; Economics; Quarter (Canadian coin); Debt; Market liquidity; House price; Monetary economics; Precautionary savings; Wealth effect; Demographic economics; Labour economics; Macroeconomics; Finance; Geography","score_opus":0.09384413981376027,"score_gpt":0.3055491710248532,"score_spread":0.2117050312110929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594089732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8706379,0.00031775614,0.000015065534,0.0003415905,0.0008929217,0.0006244342,0.00020560187,0.000050990333,0.12691374],"genre_scores_gemma":[0.98266286,0.015125101,0.0005007195,0.000063646505,0.00032269955,0.0001479921,0.000026874548,0.00014240654,0.0010076861],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9951216,0.00008540951,0.001649515,0.001731848,0.0000700584,0.0013415912],"domain_scores_gemma":[0.99757683,0.00040636212,0.00059968705,0.0011143587,0.00003468605,0.00026805975],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0037428201,0.0005209007,0.0012892011,0.001876578,0.0001456479,0.00045432927,0.00083557615,0.0009576208,0.00014974059],"category_scores_gemma":[0.0003652547,0.0006239395,0.00017468122,0.00022476855,0.00044208436,0.00037588167,0.001413011,0.0017879029,0.000060397157],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022109997,0.00034981858,0.8712454,0.00065011083,0.00015274817,0.00010879349,0.001317398,0.0034815937,0.000027590255,0.019367207,0.00014184862,0.102936424],"study_design_scores_gemma":[0.0065332716,0.00026306027,0.5128214,0.0022963989,0.00002096792,0.000040609662,0.0010561658,0.018214917,0.0001388763,0.37355942,0.07994253,0.005112404],"about_ca_topic_score_codex":0.00084272155,"about_ca_topic_score_gemma":0.001569806,"teacher_disagreement_score":0.35842398,"about_ca_system_score_codex":0.0016376326,"about_ca_system_score_gemma":0.00021064156,"threshold_uncertainty_score":0.9996212},"labels":[],"label_agreement":null},{"id":"W2594282728","doi":"","title":"2013 June Quarter: QLD residential property market update","year":2013,"lang":"en","type":"article","venue":"REIQ journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Project commissioning; Residential property; Publishing; Business; Property market; Advertising; Finance; Geography; Political science; Regional science; Law; Archaeology","score_opus":0.01568425288682682,"score_gpt":0.1899426153120936,"score_spread":0.1742583624252668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594282728","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33580986,0.001625539,0.0029815452,0.025580045,0.0069816094,0.00053771597,0.000036899703,0.00012175994,0.626325],"genre_scores_gemma":[0.94524264,0.0064070844,0.0028422817,0.0007933241,0.002265976,0.000024785964,0.0000095231535,0.00009256978,0.042321827],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982039,0.000039230286,0.00088937907,0.00031083345,0.000046810805,0.00050985167],"domain_scores_gemma":[0.9988438,0.000025388475,0.0004945609,0.00033377664,0.000059331625,0.00024316406],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010163791,0.00019167455,0.00041293746,0.0002573403,0.0002749892,0.0006864876,0.00037084363,0.00013178375,0.019173723],"category_scores_gemma":[0.00006413678,0.00016561199,0.00020029116,0.00011716058,0.00005488138,0.00094875565,0.00007050937,0.00041196996,0.009216995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037943664,0.000060145747,0.010461484,0.000016794665,0.00008005964,0.000016705226,0.00015827648,0.000033394754,0.000032980694,0.0014084867,0.9810585,0.006635229],"study_design_scores_gemma":[0.0011850145,0.00008664912,0.013938275,0.000040862666,0.000013712834,0.0003145414,0.0001195623,0.008514989,0.000039315706,0.04747112,0.9276807,0.0005952725],"about_ca_topic_score_codex":0.00035599363,"about_ca_topic_score_gemma":0.00006549945,"teacher_disagreement_score":0.60943276,"about_ca_system_score_codex":0.00013790697,"about_ca_system_score_gemma":0.000041515592,"threshold_uncertainty_score":0.99155444},"labels":[],"label_agreement":null},{"id":"W2596139613","doi":"","title":"Is the Real Estate Industry Squeezing out the Manufacturing Industry?-The China Experience","year":2016,"lang":"en","type":"article","venue":"International management review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; China; Manufacturing; Business; Stock exchange; Economy; Commerce; Finance; Market economy; Economics; Marketing","score_opus":0.0476837702709547,"score_gpt":0.27701858855356015,"score_spread":0.22933481828260543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2596139613","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09753787,0.0014849139,0.000549813,0.11210804,0.0017975044,0.00072633417,0.000035091805,0.000047515467,0.7857129],"genre_scores_gemma":[0.74093074,0.24076936,0.000059735405,0.0054714577,0.00033867237,0.00017477186,0.000003686822,0.000026136691,0.012225431],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987878,0.000030216645,0.00055302784,0.000318031,0.00007630679,0.00023457149],"domain_scores_gemma":[0.9989343,0.000084039704,0.0003810381,0.0005516673,0.000013879364,0.000035042165],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010465587,0.00015806052,0.00019447254,0.00005355902,0.00021999564,0.0001787341,0.0011100991,0.00008287806,0.0014726379],"category_scores_gemma":[0.00005576551,0.000079083875,0.00013373967,0.00007209503,0.0001045062,0.0002562691,0.00034353003,0.00035198865,0.0007018293],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012673203,0.000049364615,0.030790275,0.00024585257,0.00037616136,0.000013229276,0.0015781131,0.000033818887,0.0000015025336,0.0952446,0.03277835,0.83887607],"study_design_scores_gemma":[0.00013433915,0.000004846659,0.022829877,0.00045966543,0.000014421429,0.0000035159726,0.00010583726,0.00013883816,0.000017995428,0.0033380236,0.9728055,0.00014711548],"about_ca_topic_score_codex":0.0001707484,"about_ca_topic_score_gemma":0.000023661987,"teacher_disagreement_score":0.9400272,"about_ca_system_score_codex":0.00015274312,"about_ca_system_score_gemma":0.000006598306,"threshold_uncertainty_score":0.99944013},"labels":[],"label_agreement":null},{"id":"W2597091824","doi":"10.1007/s11146-007-9019-9","title":"Homeownership as a Constraint on Asset Allocation","year":2007,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Constraint (computer-aided design); Asset (computer security); Asset allocation; Consumption (sociology); Incentive; Welfare; Economics; Real estate; Microeconomics; Net worth; Estate; Actuarial science; Finance; Computer science; Portfolio","score_opus":0.02741131963381239,"score_gpt":0.22930826017875805,"score_spread":0.20189694054494567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2597091824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8863438,0.00009417054,0.00029782753,0.0011227182,0.00042138633,0.0000828623,0.000017739367,0.0000074040177,0.11161211],"genre_scores_gemma":[0.9418332,0.057012983,0.000330581,0.00041776718,0.00019179587,8.0516935e-7,0.0000033981707,0.000022146229,0.00018732266],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99856013,0.000017554381,0.00091255514,0.00016892632,0.00002162383,0.00031921073],"domain_scores_gemma":[0.99832565,0.00024570603,0.0010388601,0.00022979376,0.00003706493,0.00012295872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031939093,0.00016444859,0.00040821597,0.00019469947,0.00013682072,0.000075524746,0.0002500178,0.00009670061,0.000031300147],"category_scores_gemma":[0.00009580811,0.00014545844,0.00009890648,0.0000812836,0.00015966548,0.00030989014,0.00003250293,0.00027114607,0.00012389741],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022261979,0.0002806043,0.026608467,0.000067964174,0.00027143472,0.000057359823,0.008200331,0.0071058027,0.000050391845,0.45391616,0.0025427716,0.49867252],"study_design_scores_gemma":[0.0070395446,0.0040139537,0.13011266,0.00026451354,0.00013711739,0.0017197587,0.007974232,0.010370278,0.0014187272,0.23496766,0.5997145,0.002267048],"about_ca_topic_score_codex":0.00020987428,"about_ca_topic_score_gemma":0.00013313163,"teacher_disagreement_score":0.5971717,"about_ca_system_score_codex":0.0001612782,"about_ca_system_score_gemma":0.00007945478,"threshold_uncertainty_score":0.5931623},"labels":[],"label_agreement":null},{"id":"W2602042245","doi":"","title":"Subprime Mortgages and Home Equity Lines of Credit: Theoretical Underpinnings from the Demand-Side","year":2012,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Home equity; Economics; Misrepresentation; Volatility (finance); Monetary economics; Equity (law); Supply side; House price; Financial economics; Labour economics; Market economy","score_opus":0.04028376925121834,"score_gpt":0.24811595654413837,"score_spread":0.20783218729292002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2602042245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8926924,0.0015346431,0.002702978,0.0011276357,0.00040804164,0.00008392333,0.000052138257,0.000030043619,0.10136819],"genre_scores_gemma":[0.9974975,0.000737242,0.00085742737,0.00034847108,0.0003905051,0.00000364795,0.000008227248,0.000019269994,0.0001377228],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989836,0.000019254327,0.00045642102,0.00021013917,0.000024734763,0.00030585506],"domain_scores_gemma":[0.9990096,0.00040046545,0.00018981735,0.00028748196,0.00001423636,0.000098360295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001114638,0.00012994159,0.000352189,0.00005146575,0.00009465151,0.000065049484,0.00020949055,0.00010367887,0.0007989324],"category_scores_gemma":[0.00017092064,0.00010466465,0.00007665881,0.0000690906,0.00033059932,0.00023636616,0.000234619,0.00012048022,0.00009721847],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017093116,0.000037586262,0.39557853,0.000008983255,0.0000414206,2.0860381e-7,0.0004747555,0.000004029632,0.000026041454,0.60163254,0.000813234,0.0013656085],"study_design_scores_gemma":[0.0005123955,0.00004250152,0.5360639,0.000016937269,0.000027625943,0.0000041731873,0.00027511985,0.0024853828,0.0006252144,0.4520046,0.007587627,0.00035454353],"about_ca_topic_score_codex":0.00040465881,"about_ca_topic_score_gemma":0.0000316198,"teacher_disagreement_score":0.14962792,"about_ca_system_score_codex":0.000026122965,"about_ca_system_score_gemma":0.000010437114,"threshold_uncertainty_score":0.87477493},"labels":[],"label_agreement":null},{"id":"W2603610467","doi":"10.2139/ssrn.2912419","title":"Local Economic Conditions and Local Equity Preferences: Evidence from Mutual Funds during the U.S. Housing Boom and Bust","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Bust; Boom; Equity (law); Economics; Financial economics; Business; Finance; Monetary economics; Political science","score_opus":0.030775949483101722,"score_gpt":0.2378591141974454,"score_spread":0.20708316471434368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2603610467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9650545,0.004832168,0.027284931,0.0009953148,0.00027990216,0.000098625045,0.000069876754,0.000026032465,0.0013586476],"genre_scores_gemma":[0.97834545,0.020956932,0.000033888315,0.00006814695,0.00031262235,0.0000061101327,0.0000019060475,0.000028236054,0.00024671006],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976216,0.000043181935,0.00056250073,0.00042780276,0.000036807298,0.0013081369],"domain_scores_gemma":[0.9988963,0.00027090282,0.00043935832,0.00023677075,0.000017342329,0.00013930797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015327765,0.00020900102,0.00034659635,0.0001231895,0.00056953763,0.00027386463,0.000301124,0.00012261151,0.00022560677],"category_scores_gemma":[0.000080279606,0.00016158819,0.00008240192,0.000051735737,0.00043927127,0.00076265633,0.00020286735,0.00067395926,0.00012528292],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004845321,0.00009526664,0.52357864,0.000051490846,0.00092187274,0.00001420056,0.0011983219,0.00064247375,0.00036668684,0.24779667,0.0002876005,0.22456227],"study_design_scores_gemma":[0.0020624006,0.00025905814,0.120695725,0.00021499592,0.00006878014,0.00035466405,0.0019291902,0.004034782,0.00013395959,0.8670431,0.002424577,0.0007787931],"about_ca_topic_score_codex":0.00062131113,"about_ca_topic_score_gemma":0.005497606,"teacher_disagreement_score":0.6192464,"about_ca_system_score_codex":0.0014279796,"about_ca_system_score_gemma":0.00035997282,"threshold_uncertainty_score":0.6589375},"labels":[],"label_agreement":null},{"id":"W2603863028","doi":"10.7910/dvn/vqqhci","title":"Happiness and House Prices in Canada: 2009-2013","year":2016,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Happiness; Demographic economics; Economics; Control (management); Logistic regression; Scale (ratio); Psychology; Government (linguistics); Socioeconomics; Social psychology; Geography; Statistics; Mathematics","score_opus":0.017174746419732424,"score_gpt":0.182011105924111,"score_spread":0.16483635950437855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2603863028","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013415812,0.000031720014,0.000015813392,0.000044715824,0.0010503404,0.00020226394,0.99563175,0.000021159845,0.0016606452],"genre_scores_gemma":[0.00046479586,0.01830854,0.000102790254,0.00049534964,0.00033264482,0.00003508675,0.9799315,0.00007493305,0.00025439783],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99802095,0.000012553551,0.0007410789,0.0007026221,0.00004118419,0.00048159226],"domain_scores_gemma":[0.9983022,0.00008042754,0.0005005415,0.0009411012,0.000015353433,0.00016035356],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00042196433,0.0003361248,0.00074203935,0.00035306087,0.00006788722,0.00011980375,0.0005468446,0.00023240235,0.007958086],"category_scores_gemma":[0.00012539604,0.00036263932,0.00005015867,0.00012018328,0.00006761577,0.00040555093,0.0003411233,0.0002630046,0.020937774],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019781915,0.000022622535,0.0023326233,0.00010357251,0.00003445494,0.000046797188,0.000010000048,0.000004180825,1.221048e-7,0.0002636943,0.9967059,0.00045627984],"study_design_scores_gemma":[0.00055074587,0.000009996225,0.0019204842,0.00006719018,0.000010096947,0.000006548604,0.00001776015,0.000079012294,4.1585238e-7,0.00031788985,0.9965264,0.000493467],"about_ca_topic_score_codex":0.8844319,"about_ca_topic_score_gemma":0.94658834,"teacher_disagreement_score":0.06215647,"about_ca_system_score_codex":0.00063738215,"about_ca_system_score_gemma":0.00041587645,"threshold_uncertainty_score":0.9998826},"labels":[],"label_agreement":null},{"id":"W2604209135","doi":"10.2139/ssrn.2922230","title":"Out-of-Town Home Buyers and City Welfare","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Welfare; Business; Advertising; Economics; Market economy","score_opus":0.022138679563225152,"score_gpt":0.2229751972132762,"score_spread":0.20083651765005103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604209135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92506313,0.001697962,0.0013920371,0.002396855,0.00093610067,0.00007060291,0.000015841768,0.0000130274075,0.068414435],"genre_scores_gemma":[0.990088,0.008526788,0.00009821986,0.000025813544,0.00019213378,0.0000012773174,0.0000012557038,0.000019724055,0.0010467893],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982696,0.000007826193,0.00042116825,0.00021543169,0.000023657643,0.0010622746],"domain_scores_gemma":[0.99888265,0.000014902824,0.0006635649,0.00033207986,0.000023047493,0.00008376073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016306896,0.00012591663,0.00034670442,0.00012425966,0.0005572592,0.00019129088,0.00038347696,0.00009181102,0.00013163811],"category_scores_gemma":[0.000109175206,0.0001415798,0.000114337345,0.000022948096,0.000106451866,0.00037379243,0.000083623614,0.0006675674,0.00003278258],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056850942,0.00004480366,0.30633464,0.000013365719,0.00018682309,0.0000025030572,0.00026378327,0.0000071159748,0.000009379378,0.64473665,0.00009921081,0.04824486],"study_design_scores_gemma":[0.0012733852,0.00020301585,0.058682524,0.000015072421,0.000017224691,0.0000709678,0.00041807053,0.00035144822,0.0000178544,0.9021117,0.03645475,0.000383968],"about_ca_topic_score_codex":0.00018509958,"about_ca_topic_score_gemma":0.0006946532,"teacher_disagreement_score":0.25737506,"about_ca_system_score_codex":0.0003000468,"about_ca_system_score_gemma":0.00014917676,"threshold_uncertainty_score":0.57734567},"labels":[],"label_agreement":null},{"id":"W2605293422","doi":"10.5430/ijfr.v8n2p145","title":"Home Bias and the Real Estate Prices","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Chiao Tung University; Shanghai Educational Development Foundation","keywords":"Economics; Proxy (statistics); Real estate; Econometrics; Preference; Information asymmetry; Marginal utility; Microeconomics; Investment (military); Financial economics; Monetary economics; Finance; Statistics","score_opus":0.15119358414032705,"score_gpt":0.3647140047400172,"score_spread":0.21352042059969015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605293422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8373658,0.00015048642,0.00008042189,0.005550474,0.0012551716,0.00006265218,0.0000145985,0.0000024036394,0.15551797],"genre_scores_gemma":[0.982324,0.016125422,0.00022776311,0.0000456266,0.000806439,0.0000025102238,6.0821174e-7,0.000009278675,0.0004583453],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989793,0.000035189492,0.0005095025,0.0001301029,0.00014254534,0.00020337147],"domain_scores_gemma":[0.99838835,0.00033467865,0.00067347666,0.0002103027,0.00032431612,0.00006885855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051311753,0.0000661637,0.00023701064,0.000279671,0.0003708102,0.0006986834,0.001048608,0.000054514498,0.000065008644],"category_scores_gemma":[0.0029289932,0.000052751515,0.0000981602,0.000039956238,0.00046768136,0.00046452432,0.00024340766,0.00036294461,0.00006797333],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010943756,0.000065250475,0.14572746,0.000010025573,0.00009249791,0.00010199693,0.0014727211,0.000016509648,0.000008757488,0.444313,0.0022774707,0.40481997],"study_design_scores_gemma":[0.0029221617,0.000111823174,0.66868556,0.000045015546,0.0000035856754,0.000050319777,0.000048982336,0.0008654206,0.000026897125,0.1752247,0.15187387,0.00014163868],"about_ca_topic_score_codex":0.0009734596,"about_ca_topic_score_gemma":0.00015911591,"teacher_disagreement_score":0.5229581,"about_ca_system_score_codex":0.00009790359,"about_ca_system_score_gemma":0.00011316063,"threshold_uncertainty_score":0.673742},"labels":[],"label_agreement":null},{"id":"W2606136592","doi":"10.3386/w18949","title":"Housing Booms, Manufacturing Decline, and Labor Market Outcomes","year":2013,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Booth School of Business, University of Chicago; University of British Columbia; Einaudi Institute for Economics and Finance; University of Chicago","keywords":"Boom; Labour economics; Economics; Immigration; Demographic economics; Baby boom; Geography; Demography; Population","score_opus":0.2783308560721225,"score_gpt":0.4376147670040917,"score_spread":0.1592839109319692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606136592","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06301858,0.0017266172,0.000006883751,0.0012195862,0.0011983362,0.0005898075,0.0004509294,0.00003599437,0.9317533],"genre_scores_gemma":[0.9491324,0.01588879,0.0011472425,0.0001447039,0.0012677427,0.00012671015,0.00028207302,0.00019783374,0.0318125],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99600285,0.000073943425,0.0018345772,0.0010162876,0.00033609112,0.0007362268],"domain_scores_gemma":[0.9966989,0.0011280447,0.0009730542,0.0005489304,0.00043246275,0.00021857806],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00818771,0.0004207908,0.0013708677,0.0016690944,0.00024417785,0.000361966,0.0006578103,0.0006746796,0.004099459],"category_scores_gemma":[0.001343461,0.0004978257,0.00027437345,0.000116189505,0.00033900817,0.00046334064,0.0006128762,0.0009081433,0.0007841281],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009179767,0.00017998747,0.42117137,0.0009467262,0.00086128956,0.00000927251,0.00013044928,0.00022377408,0.0000042821653,0.3019743,0.26348585,0.0109209325],"study_design_scores_gemma":[0.0008366566,0.00006524,0.078966156,0.00012083891,0.000014978065,0.000017817347,0.000050603165,0.0019181509,0.00005816845,0.70199245,0.21517971,0.0007792261],"about_ca_topic_score_codex":0.004906084,"about_ca_topic_score_gemma":0.0004367321,"teacher_disagreement_score":0.8999407,"about_ca_system_score_codex":0.00188931,"about_ca_system_score_gemma":0.0008510644,"threshold_uncertainty_score":0.99999386},"labels":[],"label_agreement":null},{"id":"W2608060744","doi":"10.3386/w18311","title":"Policy Intervention in Debt Renegotiation: Evidence from the Home Affordable Modification Program","year":2012,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":145,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"University of Chicago; National Science Foundation","keywords":"Debt; Intervention (counseling); Economics; Business; Finance; Medicine; Nursing","score_opus":0.5117122450250376,"score_gpt":0.49804210825469025,"score_spread":0.013670136770347396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608060744","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048610594,0.01219046,0.00014356348,0.0049229343,0.0024291452,0.0025344884,0.0006070665,0.00006763922,0.9284941],"genre_scores_gemma":[0.98200125,0.011158311,0.00045418713,0.000020238103,0.0022821983,0.00046395126,0.0009802794,0.00006625769,0.0025733025],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996308,0.00017586614,0.0018583473,0.0007293124,0.00032363288,0.000604811],"domain_scores_gemma":[0.9961323,0.0013241455,0.0012218525,0.000685461,0.000531302,0.00010493125],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01280106,0.00026578706,0.00070755073,0.0012947483,0.00016699037,0.00023123458,0.00096104137,0.00050841295,0.0007761478],"category_scores_gemma":[0.0028113804,0.0002820639,0.0003029851,0.0004860379,0.00022737558,0.00076157827,0.00025223047,0.0007757955,0.0007792749],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002347259,0.00081744284,0.18308522,0.00040854004,0.0003927137,0.0000014377993,0.0009186135,0.0028722803,0.000014308495,0.7140263,0.035525672,0.06170276],"study_design_scores_gemma":[0.0006537889,0.00010606266,0.06250442,0.0004656901,0.000012127856,0.000004807272,0.00009408629,0.0078108343,0.00003297343,0.8958342,0.032013472,0.00046754762],"about_ca_topic_score_codex":0.03425089,"about_ca_topic_score_gemma":0.0031257665,"teacher_disagreement_score":0.9333907,"about_ca_system_score_codex":0.0047982945,"about_ca_system_score_gemma":0.0015293525,"threshold_uncertainty_score":0.99999875},"labels":[],"label_agreement":null},{"id":"W2608877826","doi":"10.21102/gefj.2017.03.101.03","title":"Diagnosing and Predicting Housing Bubbles: An Application to Provincial Housing Markets in Canada","year":2017,"lang":"en","type":"article","venue":"Global Economy and Finance Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Subdivision; Economic geography; Economics; Geography; Archaeology","score_opus":0.011186768983510932,"score_gpt":0.20639956687211114,"score_spread":0.19521279788860021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608877826","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98395574,0.0004315566,0.001922187,0.0006465351,0.00045701896,0.00020858285,0.000047743575,0.000010198643,0.012320455],"genre_scores_gemma":[0.9969418,0.00080737553,0.001543106,0.00032236302,0.0003473097,0.000011831214,0.0000020878047,0.00001744855,0.00000669305],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983449,0.00001625023,0.0006845856,0.00046914254,0.00002499841,0.00046010045],"domain_scores_gemma":[0.99877584,0.000028987464,0.0006975732,0.00029524488,0.000024842428,0.00017750823],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008427609,0.00019541766,0.00043522817,0.00009477577,0.00088924123,0.0008145807,0.000273946,0.00009039618,0.000007822224],"category_scores_gemma":[0.00013503528,0.00025512156,0.000033495857,0.000059773563,0.00006628201,0.0012471515,0.00014114329,0.00022635421,0.000004861383],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038880324,0.000018607152,0.85240006,0.000016145506,0.000008338065,0.000016940485,0.00012559775,0.00052830135,7.824562e-7,0.0034078977,0.00006466616,0.14337379],"study_design_scores_gemma":[0.0009104984,0.00004959218,0.9306281,0.00010930207,0.000006736413,0.000095668525,0.00026538712,0.031835087,0.0000057865127,0.017097635,0.018522965,0.00047323792],"about_ca_topic_score_codex":0.27320176,"about_ca_topic_score_gemma":0.65338403,"teacher_disagreement_score":0.38018227,"about_ca_system_score_codex":0.0009835687,"about_ca_system_score_gemma":0.00033681182,"threshold_uncertainty_score":0.9999901},"labels":[],"label_agreement":null},{"id":"W2608966450","doi":"10.5430/afr.v6n2p163","title":"Interactions of Economic Development, Government Intervention and Real Estate Price Based on the Analysis of the Impulse-response Function","year":2017,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Marketization; Variance decomposition of forecast errors; Real estate; Economic interventionism; Real estate investment trust; Real estate development; Economics; Cost approach; Government (linguistics); China; Business; Finance; Econometrics","score_opus":0.05491383933406154,"score_gpt":0.3091236885028066,"score_spread":0.25420984916874506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608966450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.983278,0.000022652179,0.000116729876,0.00051024655,0.0001326796,0.00011935384,0.000029853201,0.0000029133714,0.01578759],"genre_scores_gemma":[0.99895024,0.00063005806,0.000062819374,0.000010780994,0.000017770819,0.00001623812,0.0000016849974,0.000008163384,0.0003022364],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99905455,0.000060052596,0.00040713712,0.0002399829,0.00005901368,0.00017923364],"domain_scores_gemma":[0.9984662,0.00043763037,0.0005805923,0.00046432702,0.000036474234,0.000014796217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041745477,0.000077518554,0.00021996774,0.00017036962,0.0005948548,0.00014519379,0.0002543002,0.000039548155,0.000038349495],"category_scores_gemma":[0.00042708652,0.00006243494,0.0000855787,0.00013625217,0.0002021949,0.00019351555,0.00017574932,0.0001654525,0.0000071682894],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009899948,0.000142001,0.85242,0.00007356535,0.00036210628,4.3543756e-7,0.0010242998,0.0012097708,0.00021233798,0.013655857,0.00018371225,0.12972593],"study_design_scores_gemma":[0.00023893021,0.0000425863,0.93347126,0.000047479716,0.000019253976,2.219216e-7,0.00018727567,0.05895712,0.0002379874,0.00063393876,0.006089518,0.000074418895],"about_ca_topic_score_codex":0.0011346285,"about_ca_topic_score_gemma":0.00056816783,"teacher_disagreement_score":0.12965152,"about_ca_system_score_codex":0.00014492725,"about_ca_system_score_gemma":0.00003674262,"threshold_uncertainty_score":0.45752025},"labels":[],"label_agreement":null},{"id":"W2610668331","doi":"10.5296/ifb.v4i1.10089","title":"Property Risk, Foreclosure Costs and Rational Lending Discrimination","year":2017,"lang":"en","type":"article","venue":"International Finance and Banking","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Collateral; Loan; Credit rationing; Economics; Underwriting; Default; Credit risk; Adverse selection; Mortgage underwriting; Monetary economics; Actuarial science; Business; Financial economics; Interest rate; Finance; Mortgage insurance","score_opus":0.03400026995362182,"score_gpt":0.24265707697954872,"score_spread":0.2086568070259269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2610668331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8569539,0.0002640637,0.0018180346,0.0017581674,0.00083193445,0.00009878285,0.00006509231,0.00001585746,0.13819411],"genre_scores_gemma":[0.99573374,0.0020309347,0.00091442914,0.00007039753,0.00023885987,0.0000113093065,0.000019667514,0.000011522191,0.00096912694],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929494,0.000005442102,0.00025384373,0.00028397315,0.00003121827,0.00013058339],"domain_scores_gemma":[0.99939144,0.00003314856,0.00037771242,0.00014590145,0.000029899304,0.00002188209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039863578,0.000097194585,0.00014805027,0.000087494154,0.00055707374,0.00043504615,0.00017801495,0.000056677032,0.000068211244],"category_scores_gemma":[0.00017999386,0.000092190174,0.000033458033,0.000014978163,0.00008192973,0.0008050657,0.00010705946,0.000105567815,0.000024038445],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021768463,0.000017374292,0.6525009,0.000010165721,0.000024759796,0.0000023900056,0.0002368264,0.000014359322,0.000011683643,0.23184483,0.00024497375,0.11506997],"study_design_scores_gemma":[0.00069459295,0.000031578853,0.8178436,0.00009304744,0.0000068922154,0.000016072585,0.000034423418,0.03421892,0.00006687752,0.08185395,0.06485119,0.00028882606],"about_ca_topic_score_codex":0.0003127235,"about_ca_topic_score_gemma":0.0001626848,"teacher_disagreement_score":0.16534273,"about_ca_system_score_codex":0.00007262496,"about_ca_system_score_gemma":0.000009038829,"threshold_uncertainty_score":0.4284617},"labels":[],"label_agreement":null},{"id":"W2611711835","doi":"10.2139/ssrn.2959386","title":"Amenities and the Social Structure of Cities","year":2017,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institut National de la Recherche Agronomique; Agence Nationale de la Recherche; Université Laval","keywords":"Amenity; Space (punctuation); Distribution (mathematics); Index (typography); Economics; Economic geography; sort; Quality (philosophy); Geography; Household income; Demographic economics","score_opus":0.017842640294429925,"score_gpt":0.22130857384501218,"score_spread":0.20346593355058226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611711835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93965733,0.015302319,0.00074179494,0.0024198703,0.0013712718,0.00020899656,0.00019759794,0.00001537252,0.040085424],"genre_scores_gemma":[0.9693028,0.028804578,0.00003505657,0.000045971934,0.0007578661,0.0000026399512,0.0000073165493,0.00002915927,0.0010146423],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981581,0.000036515765,0.0005951133,0.00022954721,0.000035027937,0.0009456998],"domain_scores_gemma":[0.9981422,0.000052489097,0.0014586062,0.0002806314,0.000037534977,0.000028572078],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0016768407,0.00021018647,0.00071264943,0.00014647674,0.00057169277,0.0003337671,0.0005777569,0.0002446847,0.000058372207],"category_scores_gemma":[0.000090003596,0.00018250411,0.00024332388,0.000017871565,0.0005290941,0.00012046173,0.00029983144,0.0024271777,0.000004876678],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010603247,0.0000071384834,0.0025893077,0.000050493563,0.00039643428,4.016429e-7,0.0021353553,0.000028755887,0.0000011316139,0.98794115,0.00011137201,0.0066324053],"study_design_scores_gemma":[0.00076867617,0.00002538516,0.00068951654,0.000019876972,0.00003088604,0.00004281623,0.0013983434,0.000183257,0.000004295333,0.99443877,0.00220214,0.00019601574],"about_ca_topic_score_codex":0.00040799918,"about_ca_topic_score_gemma":0.00071439566,"teacher_disagreement_score":0.03907078,"about_ca_system_score_codex":0.0003652611,"about_ca_system_score_gemma":0.0005986457,"threshold_uncertainty_score":0.99987423},"labels":[],"label_agreement":null},{"id":"W2611951948","doi":"10.2139/ssrn.2958567","title":"Do House Price Spillover Across Main Cities of Canada and China? - Evidence from Causality Analysis","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Real estate; Granger causality; Spillover effect; Unit root test; China; Economics; Volatility (finance); Error correction model; Foreign direct investment; Real estate investment trust; Cointegration; Economy; Financial economics; Geography; Finance; Macroeconomics; Econometrics","score_opus":0.019055649224515102,"score_gpt":0.23417073065758537,"score_spread":0.21511508143307026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611951948","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925744,0.0027682674,0.0016478158,0.00041891978,0.00023926697,0.00005063865,0.00012995157,0.0000077870545,0.0021629669],"genre_scores_gemma":[0.9883045,0.010843277,0.00009994061,0.0000302548,0.00013779005,0.0000012774124,0.000001691186,0.00002184682,0.00055941],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977755,0.000024802768,0.00057782786,0.00031327872,0.00005735909,0.0012512313],"domain_scores_gemma":[0.9982622,0.0000776806,0.000990864,0.0005321833,0.000028560136,0.000108480664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026861366,0.0001589663,0.00054415927,0.000094752104,0.0005416684,0.00032444543,0.00048356742,0.00007908804,0.00010088754],"category_scores_gemma":[0.00036794212,0.0001744861,0.00014030591,0.00009469273,0.000118224576,0.00051763223,0.00012321684,0.0005996532,0.0000051257407],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006449316,0.000020540667,0.97698206,0.000011419086,0.0010109498,0.000005069004,0.00071503286,0.00017768712,0.000009818528,0.018749878,0.00010378411,0.0021492536],"study_design_scores_gemma":[0.0004385319,0.000055164983,0.8437643,0.000022842538,0.000078571466,0.000017820956,0.00055472826,0.0009041613,0.000027279602,0.15322067,0.0006224907,0.0002934309],"about_ca_topic_score_codex":0.58942664,"about_ca_topic_score_gemma":0.8612683,"teacher_disagreement_score":0.27184165,"about_ca_system_score_codex":0.0010496912,"about_ca_system_score_gemma":0.0009345928,"threshold_uncertainty_score":0.71153367},"labels":[],"label_agreement":null},{"id":"W2613498608","doi":"","title":"Household Use of Financial Planners: Measurement Considerations for Researchers","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Citation; Actuarial science; Economics; Finance; Business; Computer science; Library science","score_opus":0.18298863462791454,"score_gpt":0.25709292542031453,"score_spread":0.0741042907924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613498608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8387195,0.002561521,0.1419707,0.00737946,0.0012004626,0.000801384,0.00041496567,0.000064208165,0.006887796],"genre_scores_gemma":[0.9953042,0.002954228,0.00077810267,0.000083102,0.00020369809,0.000012651238,0.0000010602499,0.000026814867,0.00063610094],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979599,0.000022993961,0.0005599363,0.00019862047,0.000053384258,0.0012051783],"domain_scores_gemma":[0.99911475,0.00020496188,0.00032475023,0.00017953015,0.00009924916,0.00007676619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035888643,0.0001056693,0.00026611972,0.00020326882,0.00016450668,0.000068954214,0.0001308072,0.00008397771,0.000051136773],"category_scores_gemma":[0.0017639936,0.0000948625,0.0001549947,0.00006505089,0.000064728236,0.0003517339,0.00002050107,0.00032475966,0.000021723665],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016550298,0.00008261628,0.016026227,0.000010792094,0.00013348548,8.482804e-7,0.00010569014,0.00010493343,0.0002548887,0.9714244,0.003714419,0.007976205],"study_design_scores_gemma":[0.0015782184,0.00033262247,0.0024399005,0.000034027715,0.000010818987,0.000025261457,0.00007981166,0.0001007185,0.00020250205,0.9590772,0.035894446,0.0002244996],"about_ca_topic_score_codex":0.00006619459,"about_ca_topic_score_gemma":0.0007783552,"teacher_disagreement_score":0.15658472,"about_ca_system_score_codex":0.0010759978,"about_ca_system_score_gemma":0.0010829158,"threshold_uncertainty_score":0.38683805},"labels":[],"label_agreement":null},{"id":"W2614497963","doi":"10.1257/aer.p20171129","title":"Capitalization of School Quality in Housing Prices: Evidence from Boundary Changes in Shelby County, Tennessee","year":2017,"lang":"en","type":"article","venue":"American Economic Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Memphis; Capitalization; Zoning; School district; Property value; Quality (philosophy); Quarter (Canadian coin); House price; Residential property; Economics; Agricultural economics; Demographic economics; Business; Geography; Finance; Real estate; Political science; Regional science; Econometrics; Sociology; Law","score_opus":0.08054689140152167,"score_gpt":0.31715171294431793,"score_spread":0.23660482154279627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614497963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9470985,0.034600843,0.0001391265,0.0018499163,0.00042365098,0.000510024,0.00014009862,0.000019909343,0.015217947],"genre_scores_gemma":[0.72228134,0.27663535,0.0004416651,0.0004586417,0.00007934918,0.000038563092,0.000018587609,0.00002901959,0.000017458968],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997452,0.0000615168,0.0014870197,0.00063211075,0.00002849636,0.00033886338],"domain_scores_gemma":[0.9960098,0.00018497657,0.0026227876,0.0010731054,0.000020324589,0.000088967136],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021524976,0.00023165389,0.0014220921,0.00021751509,0.000102429454,0.0001727757,0.00069508184,0.0000680757,0.0004320301],"category_scores_gemma":[0.00077520474,0.00028777684,0.00012241348,0.000118377364,0.00032887756,0.00091640867,0.00016404311,0.00015908186,0.00025260454],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002257062,0.000048526803,0.96161795,0.0006643124,0.000028269378,0.0000026483035,0.00021504945,0.00007223607,0.000011159233,0.0013484046,0.00022391233,0.035744973],"study_design_scores_gemma":[0.00057614944,0.00006324854,0.96759003,0.003625682,0.000019363546,0.0000014373899,0.00017851942,0.0016950672,0.000032457774,0.0038993096,0.02161822,0.0007004856],"about_ca_topic_score_codex":0.035156418,"about_ca_topic_score_gemma":0.020155141,"teacher_disagreement_score":0.24203451,"about_ca_system_score_codex":0.0006385678,"about_ca_system_score_gemma":0.00013552069,"threshold_uncertainty_score":0.99995744},"labels":[],"label_agreement":null},{"id":"W2616205119","doi":"10.2139/ssrn.3422629","title":"Utilities Included: Split Incentives in Commercial Electricity Contracts","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Incentive; Electricity; Business; Industrial organization; Operations management; Environmental economics; Economics; Microeconomics; Engineering; Electrical engineering","score_opus":0.013060669914393629,"score_gpt":0.2088124321313059,"score_spread":0.19575176221691226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616205119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92765945,0.002243569,0.00041318664,0.00044531203,0.00053709844,0.00018002136,0.0000091677475,0.000022795226,0.06848941],"genre_scores_gemma":[0.9918707,0.00620764,0.00004259475,0.0001953185,0.00021377415,0.000004052617,0.000005667742,0.000031666677,0.0014285735],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99659264,0.000048190992,0.0007715429,0.00032713969,0.000046503545,0.0022139887],"domain_scores_gemma":[0.99917376,0.00009809784,0.0004027576,0.00021678385,0.00002785515,0.00008074314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031604571,0.00020088984,0.00054266927,0.0003935256,0.0001371057,0.0001286986,0.00037016172,0.00014706574,0.00030549755],"category_scores_gemma":[0.00011694728,0.00023894149,0.00015373548,0.00024149455,0.00004821889,0.000518083,0.00006747059,0.0016757442,0.0006423571],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014990434,0.00012821026,0.37922248,0.000009255182,0.000072967836,0.0000024740177,0.00038321587,0.000045665332,0.00001580845,0.6051247,0.000059133472,0.014786155],"study_design_scores_gemma":[0.0024620262,0.00028743575,0.13772412,0.000025730125,0.0000072247904,0.00007464458,0.0008990679,0.0015709774,0.00003674038,0.83421254,0.022156395,0.0005431254],"about_ca_topic_score_codex":0.0005456113,"about_ca_topic_score_gemma":0.0022191338,"teacher_disagreement_score":0.24149838,"about_ca_system_score_codex":0.0017745108,"about_ca_system_score_gemma":0.00052069325,"threshold_uncertainty_score":0.9743751},"labels":[],"label_agreement":null},{"id":"W2617385254","doi":"10.5539/jms.v7n2p45","title":"Housing, Finance, Policy and the Wider Economy","year":2017,"lang":"en","type":"article","venue":"Journal of Management and Sustainability","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Leverage (statistics); Economics; Legislature; Finance; Public economics; Business; Political science","score_opus":0.012471091377657242,"score_gpt":0.23048749626606496,"score_spread":0.21801640488840773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2617385254","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69136083,0.0012937417,0.0011279029,0.01639321,0.0002665392,0.00032184838,0.0000024907176,0.0000065021827,0.28922695],"genre_scores_gemma":[0.9946279,0.0032019601,0.00022412017,0.0002504222,0.00019334721,0.000003742837,1.4999443e-7,0.000009094422,0.0014892453],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990303,0.000023151799,0.0005386323,0.0001791046,0.000019894253,0.0002089463],"domain_scores_gemma":[0.9985833,0.00007255993,0.0008256894,0.00040059985,0.000065216576,0.000052616513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023029426,0.00011142311,0.00038222672,0.00015732463,0.0004886854,0.00048555128,0.0002923901,0.000048498783,0.000016910224],"category_scores_gemma":[0.0004052342,0.000089951514,0.00010392242,0.00003622014,0.00044575293,0.00053069036,0.00023862615,0.00014246792,0.0000028641657],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018669695,0.000035642497,0.2062464,0.00013474209,0.00008742503,0.000011937178,0.0003157312,0.00003568596,4.795764e-9,0.7560498,0.00084352744,0.036052354],"study_design_scores_gemma":[0.0019805678,0.000032744785,0.13590485,0.000008609743,0.00001768809,0.000007681541,0.0003657335,0.000758615,3.4497754e-7,0.59849805,0.2623101,0.000115039045],"about_ca_topic_score_codex":0.00015585987,"about_ca_topic_score_gemma":0.000018437904,"teacher_disagreement_score":0.3032671,"about_ca_system_score_codex":0.00014775785,"about_ca_system_score_gemma":0.00004267289,"threshold_uncertainty_score":0.4682182},"labels":[],"label_agreement":null},{"id":"W2622653277","doi":"10.5325/jinfopoli.7.2017.0120","title":"A Question of Scarcity: Spectrum and Canada's Urban Core","year":2017,"lang":"en","type":"article","venue":"Journal of Information Policy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Calgary","funders":"","keywords":"Scarcity; Spectrum management; Core (optical fiber); Spectrum (functional analysis); Frequency allocation; Element (criminal law); Broad spectrum; Political science; Regional science; Economic geography; Law and economics; Sociology; Telecommunications; Economics; Engineering; Law; Market economy","score_opus":0.01738532455350581,"score_gpt":0.22583976599585237,"score_spread":0.20845444144234657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2622653277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9406876,0.000056261848,0.00042070582,0.002755673,0.00031562554,0.000040156436,0.00004167843,0.0000022638314,0.05568003],"genre_scores_gemma":[0.999026,0.0003209444,0.00022545866,0.00018728676,0.0001791339,2.4094368e-7,0.0000016402967,0.0000031622324,0.00005614459],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992202,0.0000027808753,0.00062834314,0.000028992952,0.00002698794,0.00009271552],"domain_scores_gemma":[0.9979478,0.000012791335,0.0017905773,0.00013815207,0.000046776353,0.00006391886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046147592,0.000052124316,0.00020622317,0.0002440836,0.000086070875,0.000095148156,0.00014560635,0.000036948586,0.000020502148],"category_scores_gemma":[0.00037178636,0.000056069322,0.00003854279,0.000025856009,0.00003854975,0.0010751793,0.000029418252,0.000076885066,0.000006074494],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006544777,0.000017379425,0.6585411,0.00011547256,0.000056576097,0.0000016373432,0.0013012197,0.00012331095,0.0000035744745,0.31846657,0.008004901,0.013302829],"study_design_scores_gemma":[0.0011027749,0.000116242685,0.842372,0.00006484131,0.000008214746,0.000073397714,0.00013189533,0.0029414475,0.00010651622,0.038383897,0.114508726,0.00019005434],"about_ca_topic_score_codex":0.21935304,"about_ca_topic_score_gemma":0.02591013,"teacher_disagreement_score":0.28008267,"about_ca_system_score_codex":0.00015473638,"about_ca_system_score_gemma":0.00020932453,"threshold_uncertainty_score":0.99186444},"labels":[],"label_agreement":null},{"id":"W2623741950","doi":"10.1177/0020715217712779","title":"The tenure gap in electoral participation: instrumental motivation or selection bias? Comparing homeowners and tenants across four housing regimes","year":2017,"lang":"en","type":"article","venue":"International Journal of Comparative Sociology","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Endogeneity; Housing tenure; Financialization; Instrumental variable; Selection bias; Matching (statistics); Economics; Ideology; Control (management); Selection (genetic algorithm); Labour economics; Public economics; Demographic economics; Econometrics; Political science; Finance; Politics","score_opus":0.2176213078058461,"score_gpt":0.3706767449758701,"score_spread":0.153055437170024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2623741950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995349,0.00011624221,0.00040440573,0.001476935,0.0010514733,0.00006752294,0.0000058170685,0.0000047439203,0.0015238557],"genre_scores_gemma":[0.999148,0.00021969373,0.00019921061,0.000054812284,0.00029200278,0.0000038084238,0.000002664748,0.000007509266,0.00007231395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989076,0.00005951977,0.00063531654,0.00014496931,0.00004730355,0.00020528519],"domain_scores_gemma":[0.99820673,0.00022849932,0.0013133187,0.000083772364,0.00012830732,0.00003938062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000874654,0.00010461732,0.00034169602,0.000111406116,0.00042384918,0.00027378768,0.00027423044,0.00007607006,0.000016058173],"category_scores_gemma":[0.00033865182,0.000080878,0.000061163766,0.0000343728,0.00031496337,0.0005572136,0.00007188768,0.00024623913,0.000007355805],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035499732,0.00003469654,0.987659,0.0000019851514,0.00012244759,0.0000064857554,0.0024023743,0.00042158502,0.000025325526,0.006368239,0.00013738534,0.0024654935],"study_design_scores_gemma":[0.0013804919,0.00012327496,0.9737058,0.000031521966,0.0000040827344,0.00004965287,0.000831801,0.009380535,0.000079508085,0.012535774,0.001757591,0.000119932745],"about_ca_topic_score_codex":0.000091792615,"about_ca_topic_score_gemma":0.0006763702,"teacher_disagreement_score":0.013953151,"about_ca_system_score_codex":0.00025774,"about_ca_system_score_gemma":0.000040259925,"threshold_uncertainty_score":0.32981095},"labels":[],"label_agreement":null},{"id":"W2625605279","doi":"10.3390/buildings7020051","title":"Measuring and Interpreting Urban Externalities in Real-Estate Data: A Spatio-Temporal Difference-in-Differences (STDID) Estimator","year":2017,"lang":"en","type":"article","venue":"Buildings","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Estimator; Econometrics; Spatial econometrics; Panel data; Real estate; Externality; Spillover effect; Spatial analysis; Computer science; Economics; Statistics; Mathematics; Microeconomics; Finance","score_opus":0.10291224422118218,"score_gpt":0.267832405586099,"score_spread":0.16492016136491683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625605279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96701753,0.00012090801,0.00017629021,0.00023072308,0.00030208912,0.00012050644,0.000044493776,0.000029663252,0.031957787],"genre_scores_gemma":[0.99667037,0.0013942618,0.0016219824,0.000021596621,0.000077492245,0.000012465229,0.000011352201,0.000025788804,0.00016471963],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983496,0.000016914842,0.0006400254,0.00059091643,0.00003306009,0.00036948652],"domain_scores_gemma":[0.99866,0.00008645836,0.0005031181,0.00066122186,0.000010381088,0.0000787645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010185789,0.00019459685,0.00050151674,0.00024969818,0.00020477753,0.0006623307,0.0007159794,0.000086171305,0.000032723565],"category_scores_gemma":[0.00040096772,0.0002288242,0.000033396493,0.00004493311,0.00013377161,0.0007393626,0.00048814443,0.00018902755,0.000015460808],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030808686,0.000020479965,0.9844717,0.000048032616,0.000008576178,0.000010682016,0.001639069,0.0000040645286,0.000006501487,0.0044429633,0.00004158816,0.009275572],"study_design_scores_gemma":[0.00063492166,0.00002698893,0.95870215,0.00030150672,0.0000035256187,0.000004734075,0.00033776645,0.026737066,0.000017745637,0.011127219,0.0017141,0.00039228774],"about_ca_topic_score_codex":0.017276222,"about_ca_topic_score_gemma":0.004346132,"teacher_disagreement_score":0.031793065,"about_ca_system_score_codex":0.000105163446,"about_ca_system_score_gemma":0.000023639543,"threshold_uncertainty_score":0.9892678},"labels":[],"label_agreement":null},{"id":"W2626274662","doi":"","title":"Expect the unexpected: housing price bubble on the horizon in Malaysia","year":2016,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic bubble; Economics; Boom; Disequilibrium; Cointegration; Error correction model; Asset (computer security); Quarter (Canadian coin); Bubble; Monetary economics; Macroeconomics; Econometrics; Financial economics","score_opus":0.031201270973036644,"score_gpt":0.1954667700502398,"score_spread":0.16426549907720314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2626274662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6885566,0.00061169284,0.000595472,0.0050279754,0.0004961334,0.0007418763,0.0005858811,0.00007543406,0.30330893],"genre_scores_gemma":[0.9929445,0.0034039586,0.00072907325,0.00017604438,0.00018565463,0.000006225112,0.00006350396,0.00009109665,0.0023999703],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968438,0.00033111245,0.00076446676,0.0011270092,0.00016803828,0.00076556386],"domain_scores_gemma":[0.9957872,0.00091314706,0.0010743223,0.001999626,0.000069616144,0.00015606133],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014899165,0.00057549414,0.0010210554,0.0005977215,0.00062535383,0.000102935745,0.0026590726,0.00037343227,0.0007336221],"category_scores_gemma":[0.0002787005,0.0005077797,0.0006503754,0.00032019214,0.00081204943,0.00018034215,0.0021219116,0.0015376057,0.0002256868],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0061425366,0.0032987734,0.108418286,0.0014695231,0.0037914482,0.0007961048,0.18357284,0.010481079,0.0007210061,0.59061235,0.03637691,0.05431916],"study_design_scores_gemma":[0.008311209,0.0014386055,0.086905316,0.0043017133,0.000309155,0.000060781083,0.056732718,0.095154114,0.00018749935,0.30693498,0.43349293,0.006171002],"about_ca_topic_score_codex":0.0036135386,"about_ca_topic_score_gemma":0.0019772165,"teacher_disagreement_score":0.397116,"about_ca_system_score_codex":0.0007135051,"about_ca_system_score_gemma":0.00023411668,"threshold_uncertainty_score":0.9997374},"labels":[],"label_agreement":null},{"id":"W2640183000","doi":"","title":"ASSESSMENT OF OCCUPIER’S SATISFACTION ON QUALITY PERFORMANCE OF PUBLIC RESIDENTIAL ESTATES IN LAGOS METROPOLIS","year":2015,"lang":"en","type":"article","venue":"Environmental Reviews","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Business; Post-occupancy evaluation; Occupancy; Environmental planning; Environmental economics; Geography; Engineering; Civil engineering; Architectural engineering; Economics","score_opus":0.1108194727244477,"score_gpt":0.30804789583360614,"score_spread":0.19722842310915845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2640183000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9808084,0.0013057014,0.000074314994,0.0000437282,0.00020228942,0.00023056692,0.000030450832,0.0000042370098,0.017300341],"genre_scores_gemma":[0.9858653,0.013124446,0.00081567763,0.000031546515,0.000025644385,0.000017747092,0.00002261782,0.000012660186,0.00008436912],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99835366,0.000064204265,0.0011059311,0.0002445984,0.0000556766,0.00017592247],"domain_scores_gemma":[0.9988485,0.000030009453,0.0007402183,0.00030767702,0.0000013199756,0.00007230169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022783724,0.00012445236,0.0005952378,0.00018710706,0.0000220735,0.000014312662,0.00012656023,0.000057596713,0.00017985332],"category_scores_gemma":[0.00008377801,0.00013497857,0.0001047375,0.000103402876,0.00007901247,0.0002717631,0.00005119953,0.00010983871,0.00016037279],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015180708,0.00011313779,0.9765514,0.000043184893,0.000009528317,2.0579837e-7,0.00008864579,0.000037336154,0.00005936046,0.0020826238,0.000116602256,0.020882806],"study_design_scores_gemma":[0.0005104262,0.00016730966,0.9744626,0.00003232379,0.0000040868936,5.379311e-7,0.00009862246,0.0006847222,0.000198421,0.0005612435,0.023122575,0.00015707883],"about_ca_topic_score_codex":0.000482926,"about_ca_topic_score_gemma":0.00013750819,"teacher_disagreement_score":0.023005974,"about_ca_system_score_codex":0.00045513347,"about_ca_system_score_gemma":0.000017278764,"threshold_uncertainty_score":0.5504266},"labels":[],"label_agreement":null},{"id":"W2724907311","doi":"","title":"REIQ December quarter market update","year":2013,"lang":"en","type":"article","venue":"REIQ journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Project commissioning; Publishing; Business; Advertising; Engineering; Finance; Management; Economics; Political science; History; Law; Archaeology","score_opus":0.015362391632267222,"score_gpt":0.1924881066576789,"score_spread":0.1771257150254117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2724907311","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3276312,0.00047328975,0.0019869984,0.0029304102,0.0014070439,0.00012406523,0.000010775442,0.0000398554,0.6653964],"genre_scores_gemma":[0.986796,0.0016430267,0.0028787893,0.0010849112,0.0008467361,0.000010877275,0.00000448005,0.000053378302,0.0066817966],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984477,0.000026353486,0.00075885537,0.000264553,0.000033583052,0.00046891562],"domain_scores_gemma":[0.9989656,0.000039496015,0.00040869298,0.00030651502,0.000045489538,0.0002341715],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008452183,0.00017106647,0.0003614677,0.00021653374,0.00020303224,0.00048265807,0.00028229124,0.0001239482,0.026442522],"category_scores_gemma":[0.00006626699,0.00018226977,0.00018662379,0.00010903415,0.00004117711,0.00070197764,0.000049446586,0.00036391593,0.010915416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040275496,0.00008909171,0.07560072,0.000019434157,0.00013874128,0.00003107679,0.00025925413,0.00005560361,0.000022128976,0.014588433,0.8909788,0.01817644],"study_design_scores_gemma":[0.0011173661,0.00007721042,0.04512348,0.000031727384,0.000011426281,0.00047782745,0.00012310474,0.008169348,0.000024400653,0.14850602,0.79569334,0.0006447699],"about_ca_topic_score_codex":0.0000489351,"about_ca_topic_score_gemma":0.000012906487,"teacher_disagreement_score":0.6591648,"about_ca_system_score_codex":0.00013708831,"about_ca_system_score_gemma":0.000027355061,"threshold_uncertainty_score":0.9898547},"labels":[],"label_agreement":null},{"id":"W2728110317","doi":"10.4236/jss.2017.57001","title":"Impact of Inheritance and Housing Wealth on Retirement Decision","year":2017,"lang":"en","type":"article","venue":"Open Journal of Social Sciences","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Employment and Social Development Canada","funders":"","keywords":"Inheritance (genetic algorithm); Economics; National wealth; Hazard; Labour economics; Finance","score_opus":0.1251469310897696,"score_gpt":0.3725262998627448,"score_spread":0.24737936877297523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2728110317","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91609573,0.00008695643,0.000073342795,0.0004683592,0.00026895123,0.00004995939,0.0000057392144,6.857821e-7,0.08295025],"genre_scores_gemma":[0.9977795,0.00043013337,0.0016360157,0.000029682515,0.00009774955,2.2974116e-7,4.8792238e-8,0.0000039556567,0.00002268585],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992556,0.0000103050315,0.00042876686,0.00012259901,0.00004706138,0.00013569082],"domain_scores_gemma":[0.99838805,0.000038774033,0.0014000647,0.00009371698,0.000031489126,0.00004788296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002246315,0.000059673912,0.00030430785,0.0000794283,0.0007169244,0.0005139767,0.00063918886,0.00003347422,0.000081733204],"category_scores_gemma":[0.00018668173,0.000051919422,0.000076099706,0.00005431032,0.00025839367,0.0006893317,0.00012032398,0.00007213977,0.00000481311],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021210151,0.00011003552,0.8553476,0.000009980612,0.00004139076,0.000004213231,0.0014563802,0.00012853395,0.00004326779,0.027037973,0.0011526779,0.11445586],"study_design_scores_gemma":[0.0006811238,0.00070602994,0.9545402,0.000098305936,0.000003709114,0.0000032840458,0.00022129038,0.0002906742,0.000024496841,0.04159458,0.0017005967,0.00013571985],"about_ca_topic_score_codex":0.00031619074,"about_ca_topic_score_gemma":0.00005377275,"teacher_disagreement_score":0.11432014,"about_ca_system_score_codex":0.000094451985,"about_ca_system_score_gemma":0.00008229773,"threshold_uncertainty_score":0.5514075},"labels":[],"label_agreement":null},{"id":"W2730197022","doi":"","title":"The Cost of Agricultural Land Preservation and the Sitting of Urban Development","year":2016,"lang":"en","type":"article","venue":"Geographical research forum/Geography research forum","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Scarcity; Economics; Agriculture; Natural resource economics; Product (mathematics); Water scarcity; Payment; Productivity; Agricultural economics; Economic growth; Geography; Microeconomics","score_opus":0.059479463999591115,"score_gpt":0.2937999622828039,"score_spread":0.2343204982832128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2730197022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95477355,0.0033048515,0.00027620763,0.023615632,0.00014557189,0.0017504843,0.00009750614,0.00003062797,0.016005581],"genre_scores_gemma":[0.99330956,0.0058176965,0.00014973727,0.000033473454,0.000064891814,0.00027461993,0.000011269867,0.000026645994,0.0003120823],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9952602,0.00052284263,0.0012160627,0.00061362435,0.00061312364,0.001774186],"domain_scores_gemma":[0.99301684,0.004803305,0.000349534,0.00075089,0.0008022842,0.00027713506],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.019859467,0.00021600611,0.0005404146,0.0011268341,0.0016719975,0.00026363155,0.0011644696,0.00020890372,0.00004740867],"category_scores_gemma":[0.0033302307,0.000113368,0.00031601585,0.0022528851,0.0043286216,0.000441617,0.0010283578,0.00079463766,0.000025731608],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045292868,0.000082018516,0.8108795,0.00005526764,0.00016741021,5.111637e-7,0.00021713924,0.000002173595,0.00006424199,0.16966803,0.0021027345,0.016308036],"study_design_scores_gemma":[0.0032668863,0.00039481508,0.7334467,0.00020980647,0.000006842839,0.0000031659945,0.0015237513,0.00024709527,0.00057681184,0.10824905,0.15174258,0.00033250204],"about_ca_topic_score_codex":0.00079133525,"about_ca_topic_score_gemma":0.0007598477,"teacher_disagreement_score":0.14963984,"about_ca_system_score_codex":0.000060002483,"about_ca_system_score_gemma":0.00010070869,"threshold_uncertainty_score":0.9996277},"labels":[],"label_agreement":null},{"id":"W2734202005","doi":"10.3905/jai.2017.20.1.081","title":"REITs in a Mixed-Asset Portfolio:<i>An Investigation of Extreme Risks</i>","year":2017,"lang":"en","type":"article","venue":"The Journal of Alternative Investments","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Real estate investment trust; Portfolio; Financial economics; Financial crisis; Value at risk; Volatility (finance); Economics; Bond; Vector autoregression; Real estate; Asset allocation; Business; Portfolio optimization; Econometrics; Finance; Risk management","score_opus":0.1470184266735609,"score_gpt":0.2980340846822655,"score_spread":0.1510156580087046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734202005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.985193,0.00018378839,0.00009861828,0.00031753661,0.00068210944,0.00010990919,0.000025893589,0.0000026877926,0.013386422],"genre_scores_gemma":[0.9981154,0.0008967521,0.00051768386,0.00020739497,0.00015083702,0.0000017247457,0.0000026098446,0.00001808174,0.000089494635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99853444,0.00008165385,0.0009942731,0.0001364567,0.00006818304,0.00018500803],"domain_scores_gemma":[0.9961886,0.00006691478,0.0031276061,0.0004411115,0.00007375754,0.00010205357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023731869,0.00013187817,0.00041144967,0.0002703228,0.00012472468,0.00007479096,0.00081144343,0.000055809072,0.00005084133],"category_scores_gemma":[0.00022944763,0.00011519036,0.000084928426,0.00006636145,0.00019658284,0.00094888086,0.00009556063,0.00022177698,0.000024573017],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017525749,0.00014601696,0.97295076,0.000019494208,0.00017013751,0.000019278961,0.002853766,0.00060058804,0.00050124625,0.019888926,0.00058027287,0.0020942816],"study_design_scores_gemma":[0.0013691153,0.00021157209,0.76283073,0.00009109888,0.000017605396,0.00001930346,0.0001523482,0.0018996123,0.0026513312,0.22998618,0.0006087849,0.00016231017],"about_ca_topic_score_codex":0.0010369133,"about_ca_topic_score_gemma":0.00014410182,"teacher_disagreement_score":0.21011999,"about_ca_system_score_codex":0.00012985474,"about_ca_system_score_gemma":0.00004732288,"threshold_uncertainty_score":0.46973267},"labels":[],"label_agreement":null},{"id":"W2736719367","doi":"","title":"Relative Deprivation vs. Transition: Rehabilitating laid-off young oil workers in Kelowna and beyond","year":2017,"lang":"en","type":"article","venue":"Journal of rural and community development","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Political science; Welfare economics; Thriving; Humanities; Sociology; Economics; Art; Social science","score_opus":0.024496324315553136,"score_gpt":0.2243633833328931,"score_spread":0.19986705901733998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736719367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9864792,0.0003423353,0.000121691424,0.0018240169,0.0001568029,0.00003092634,0.000001988829,0.000003361379,0.011039656],"genre_scores_gemma":[0.9947245,0.0009494063,0.0041441317,0.00007125796,0.000025979984,0.0000019152305,0.0000023545265,0.000006979749,0.00007345726],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911064,0.0000621745,0.00060984446,0.0000615695,0.000027137372,0.00012864891],"domain_scores_gemma":[0.99905914,0.00014066331,0.0005534441,0.00015090406,0.00003510912,0.000060763705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019028616,0.00009571206,0.00029124253,0.00014054318,0.0007371507,0.00014840718,0.00017099646,0.000063247164,0.000013869664],"category_scores_gemma":[0.00019344482,0.00010065757,0.000037110316,0.00004011161,0.00008892866,0.00067590084,0.00008316836,0.0004564091,0.0000031827922],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012421499,0.00008560495,0.74617344,0.000054427604,0.000054156983,0.0000035240455,0.035525948,0.00003764574,0.0000060127395,0.0012731556,0.000039205173,0.21662268],"study_design_scores_gemma":[0.00093348924,0.00008935607,0.9746571,0.00019561956,0.000004399617,0.000027663145,0.009352042,0.0002733622,0.000010505883,0.012793341,0.0014921874,0.00017091504],"about_ca_topic_score_codex":0.0002777408,"about_ca_topic_score_gemma":0.00048372278,"teacher_disagreement_score":0.22848369,"about_ca_system_score_codex":0.00012902907,"about_ca_system_score_gemma":0.000035684818,"threshold_uncertainty_score":0.5669642},"labels":[],"label_agreement":null},{"id":"W2737221650","doi":"10.1111/1540-6229.12209","title":"Big‐Box Stores and Urban Land Prices: Friend or Foe?","year":2017,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Locale (computer software); Agricultural economics; Quarter (Canadian coin); Mile; Economics; Land price; Advertising; Business; Geography; Computer science","score_opus":0.04353213204744,"score_gpt":0.23083123089575838,"score_spread":0.18729909884831838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737221650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72850466,0.00006362562,0.0000710498,0.00028669296,0.00081632094,0.00015477362,0.00018824244,0.000046394114,0.26986822],"genre_scores_gemma":[0.95418257,0.041597087,0.0012636303,0.00009791455,0.00058381807,0.000021379625,0.000033134525,0.00009005655,0.0021303887],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.998121,0.000008843357,0.00069003616,0.0006598923,0.000014566329,0.00050565344],"domain_scores_gemma":[0.9979735,0.0000964276,0.0008150751,0.0008580826,0.000017589642,0.0002393369],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005765251,0.00028521701,0.00063196634,0.00017473231,0.0005762442,0.0007908594,0.0004925409,0.0001736676,0.00013539373],"category_scores_gemma":[0.00011944901,0.00031288125,0.00010146724,0.00003191341,0.0002292975,0.0006937405,0.00023569733,0.00017124771,0.0003163602],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003294079,0.000118223776,0.8194467,0.00013571203,0.00020330059,0.0000330748,0.0024743846,0.00020041132,0.000003421148,0.050793476,0.0016028906,0.12465903],"study_design_scores_gemma":[0.0030349777,0.00028840054,0.20442969,0.0000402638,0.000035088193,0.00004288883,0.0003412729,0.014746787,0.000053425738,0.02176735,0.75370544,0.0015144343],"about_ca_topic_score_codex":0.0024880008,"about_ca_topic_score_gemma":0.003033266,"teacher_disagreement_score":0.75210255,"about_ca_system_score_codex":0.00017495525,"about_ca_system_score_gemma":0.00007035501,"threshold_uncertainty_score":0.99993235},"labels":[],"label_agreement":null},{"id":"W2737294819","doi":"10.5539/ijef.v9n8p221","title":"Efficient Use of Capital: Paradox of Real Estate and Industry in Turkey","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; Economics; Currency; Capital (architecture); Turkish; Economy; Private sector; Fixed capital; Estate; Finance; Market economy; Capital formation; Macroeconomics; Financial capital; Economic growth; Human capital","score_opus":0.03837822781375828,"score_gpt":0.24150463743211464,"score_spread":0.20312640961835637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737294819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99513626,0.00014125419,0.000018298048,0.00037407098,0.00055654184,0.0000413539,0.00009330143,6.94152e-7,0.003638196],"genre_scores_gemma":[0.97420746,0.024885664,0.0007803379,0.000016619319,0.000059960912,7.110115e-7,0.0000010202216,0.000009685346,0.00003856557],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99881953,0.0000055670585,0.0008952472,0.00015151245,0.000017384795,0.00011075704],"domain_scores_gemma":[0.99787456,0.00006433799,0.0017929757,0.00016649386,0.000066336186,0.00003531724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004743963,0.00009354685,0.0004055301,0.00022585545,0.000033572287,0.00009770262,0.0002798226,0.00013854662,0.000008519541],"category_scores_gemma":[0.00011875794,0.00010943474,0.000067183326,0.000015869102,0.0001625946,0.00030042662,0.00010291049,0.00021947426,0.0000012210863],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043247506,0.00024942934,0.6594215,0.000036327794,0.00018310607,0.00003478937,0.0016710258,0.09864653,0.00002715271,0.19763874,0.00006772775,0.04159122],"study_design_scores_gemma":[0.0030868766,0.00021777327,0.7825269,0.00020600564,0.00001243258,0.000094312716,0.00016555852,0.1677501,0.00026476302,0.033587717,0.011689543,0.00039799704],"about_ca_topic_score_codex":0.0010774436,"about_ca_topic_score_gemma":0.00010657996,"teacher_disagreement_score":0.16405103,"about_ca_system_score_codex":0.000056211447,"about_ca_system_score_gemma":0.000037032,"threshold_uncertainty_score":0.4462619},"labels":[],"label_agreement":null},{"id":"W2739630050","doi":"","title":"Real estate price polarization projected to increase until 2030 in Germany","year":2017,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Economics; Population; Polarization (electrochemistry); Quarter (Canadian coin); Geography; Finance; Demography","score_opus":0.019223323500763997,"score_gpt":0.23116180847334752,"score_spread":0.21193848497258352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739630050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67583656,0.000028127439,0.00010144434,0.00034486217,0.0010989052,0.0004191185,0.0001300321,0.00008441485,0.32195652],"genre_scores_gemma":[0.99443966,0.0005546222,0.0014512483,0.00023076554,0.0002977812,0.00006978075,0.00003781907,0.00008205505,0.00283628],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99710035,0.000045916626,0.0011539817,0.00090182514,0.000049451886,0.0007484521],"domain_scores_gemma":[0.9974047,0.00009706372,0.0009203283,0.001187439,0.0000591437,0.00033131917],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012319143,0.00037184282,0.00076078513,0.0007654522,0.00051488244,0.00047669423,0.0007442901,0.00026767104,0.00088059553],"category_scores_gemma":[0.0005998242,0.00050028035,0.00015489878,0.00021831233,0.00019955946,0.0010828862,0.00025526882,0.0003323828,0.0024609708],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007660914,0.00012371056,0.9894139,0.000033021057,0.00003867208,0.000026042171,0.0006439117,0.000037990452,0.000105472995,0.00605266,0.001141192,0.002306788],"study_design_scores_gemma":[0.0012933585,0.00006881847,0.95505744,0.000047163467,0.0000102664035,0.000020206802,0.00007282889,0.0024817262,0.000057423964,0.001037898,0.039087325,0.0007655546],"about_ca_topic_score_codex":0.007420795,"about_ca_topic_score_gemma":0.0036494462,"teacher_disagreement_score":0.31912023,"about_ca_system_score_codex":0.0006588956,"about_ca_system_score_gemma":0.00024109319,"threshold_uncertainty_score":0.9997449},"labels":[],"label_agreement":null},{"id":"W2740845358","doi":"","title":"Residential Land-Use Regulation in Alberta's Calgary-Edmonton Corridor","year":2015,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Land use; Environmental planning; Geography; Environmental resource management; Environmental science; Civil engineering; Engineering","score_opus":0.0395089369526812,"score_gpt":0.21183289128233312,"score_spread":0.17232395432965192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2740845358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6682308,0.000050975934,0.001621473,0.0005275314,0.0007055416,0.00014822996,0.0000058829187,0.00003757068,0.32867205],"genre_scores_gemma":[0.9848972,0.000048362872,0.000806852,0.00016191725,0.00012810605,0.000008122268,0.000033050426,0.000023272896,0.0138931],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989077,0.000014937839,0.00050868694,0.0003008333,0.000022697628,0.00024516773],"domain_scores_gemma":[0.9993982,0.000058999867,0.00014903498,0.00026219708,0.000019323375,0.00011229973],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00053120824,0.00011292543,0.0002684935,0.0002154462,0.000032988264,0.00012967439,0.00012108793,0.000115970426,0.000449671],"category_scores_gemma":[0.00023189286,0.0001354593,0.000053768465,0.00013889903,0.000023773546,0.00053697726,0.000047134443,0.00009104,0.0010899137],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013368027,0.00007438248,0.9116446,0.000008123496,0.000013450913,0.0000058365385,0.0005220584,0.00083216466,0.0000042050356,0.07209985,0.013017063,0.0016446194],"study_design_scores_gemma":[0.003551413,0.00010760061,0.61376613,0.000023648554,0.0000074883415,0.000011035916,0.00007152313,0.1118035,0.0000980296,0.0840459,0.18570149,0.00081220735],"about_ca_topic_score_codex":0.04221461,"about_ca_topic_score_gemma":0.037775524,"teacher_disagreement_score":0.31666645,"about_ca_system_score_codex":0.00018895678,"about_ca_system_score_gemma":0.000029255072,"threshold_uncertainty_score":0.99968785},"labels":[],"label_agreement":null},{"id":"W2741120668","doi":"10.1007/978-3-319-59511-5_19","title":"Decomposing and Interpreting Spatial Effects in Spatio-Temporal Analysis: Evidences for Spatial Data Pooled Over Time","year":2017,"lang":"en","type":"book-chapter","venue":"Advances in geographic information science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Autoregressive model; Econometrics; Monte Carlo method; Spatial analysis; Context (archaeology); Spatial econometrics; Real estate; Contrast (vision); Spatial dependence; Computer science; Statistics; Mathematics; Geography; Economics; Artificial intelligence","score_opus":0.016516908088336068,"score_gpt":0.26761862771923906,"score_spread":0.251101719630903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2741120668","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07360225,0.00874053,0.13258101,0.00041383272,0.004989115,0.0043063853,0.0014178166,0.00016620442,0.77378285],"genre_scores_gemma":[0.993412,0.0025545987,0.003041606,0.0001304758,0.000091424765,0.000030492878,0.00043430412,0.000017889368,0.00028719002],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975248,0.000009705365,0.0012826553,0.0006577443,0.00012301997,0.00040209058],"domain_scores_gemma":[0.9970572,0.00029218607,0.0016973946,0.0008008425,0.00007091022,0.000081448576],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003253655,0.00029276303,0.0007618457,0.0029352529,0.00032497474,0.0006697915,0.0011345925,0.000184181,0.00006901836],"category_scores_gemma":[0.0006964564,0.00034401874,0.00011708338,0.00025149924,0.000561948,0.009195344,0.00045561223,0.00025081364,0.000027386455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002073992,0.00002450681,0.6922659,0.00038401267,0.00013719556,0.0000036905312,0.0011747429,0.0027860396,7.986781e-7,0.03556771,0.000025043873,0.2674229],"study_design_scores_gemma":[0.0010890862,0.00011079949,0.039731517,0.000765873,0.00008898284,0.0000026848982,0.00002423143,0.8430995,0.0000032790192,0.059805993,0.054326218,0.0009518825],"about_ca_topic_score_codex":0.00090991514,"about_ca_topic_score_gemma":0.0054587163,"teacher_disagreement_score":0.91980976,"about_ca_system_score_codex":0.00012461933,"about_ca_system_score_gemma":0.00008979314,"threshold_uncertainty_score":0.9999012},"labels":[],"label_agreement":null},{"id":"W2744586009","doi":"10.1108/jpif-02-2017-0013","title":"What sells in a crisis? Determinants of sale probability over a cycle and through a crash","year":2017,"lang":"en","type":"article","venue":"Journal of Property Investment and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Real estate; Market liquidity; Sample (material); Business; Alternative investment; Probit model; Economics; Actuarial science; Finance; Econometrics","score_opus":0.04903928041108128,"score_gpt":0.2522228272940099,"score_spread":0.20318354688292864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2744586009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99328023,0.0023131557,0.000013653911,0.00066260813,0.0003022542,0.00016822074,0.0000068877935,0.0000018884605,0.0032510743],"genre_scores_gemma":[0.97757745,0.020304842,0.0015712117,0.00026344653,0.000046808364,0.000004713129,1.9222666e-7,0.000011160068,0.00022020533],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987563,0.000016063288,0.0007862063,0.00022082528,0.00003242226,0.00018820296],"domain_scores_gemma":[0.998498,0.00002180377,0.0011242507,0.00028202008,0.000032576856,0.000041319752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007749435,0.00013008919,0.0005560002,0.00007899649,0.000105908744,0.0001999735,0.00020568431,0.00008274243,0.000012458814],"category_scores_gemma":[0.00012929678,0.00010117569,0.0000683569,0.000038151924,0.00018017272,0.0020118768,0.000104415994,0.00013276898,0.0000033205433],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017799198,0.0003441597,0.97662055,0.00026028728,0.00003646088,0.000026776981,0.003441605,0.00003274658,0.000042204403,0.008745664,0.0006626522,0.009608923],"study_design_scores_gemma":[0.0036029085,0.0006109661,0.65882045,0.000742244,0.000022310998,0.00006407685,0.00029229643,0.0047569866,0.00046835543,0.30211684,0.028006384,0.00049620896],"about_ca_topic_score_codex":0.00021862223,"about_ca_topic_score_gemma":0.00019842896,"teacher_disagreement_score":0.3178001,"about_ca_system_score_codex":0.00005498426,"about_ca_system_score_gemma":0.000041963624,"threshold_uncertainty_score":0.4125825},"labels":[],"label_agreement":null},{"id":"W2746918894","doi":"","title":"The Effect of Immigration on Housing Prices in Vancouver","year":2012,"lang":"en","type":"article","venue":"uO Research (University of Ottawa)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Immigration; Economics; Political science; Demographic economics; Labour economics; Law","score_opus":0.03579232380335764,"score_gpt":0.2520982361694154,"score_spread":0.21630591236605776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2746918894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8897273,0.00006557774,0.000119325014,0.00015370993,0.00015999262,0.00013511912,0.0000069575785,0.000005214911,0.109626815],"genre_scores_gemma":[0.99908155,0.00025873314,0.00013284702,0.0000026178002,0.000030316896,3.4778535e-7,0.0000013485751,0.000006894997,0.00048536016],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929446,0.00006087266,0.00016081436,0.00013088854,0.000059183556,0.0002938079],"domain_scores_gemma":[0.99911255,0.00045140935,0.00015277138,0.00020942999,0.000025630889,0.000048206675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003287406,0.000057589434,0.00019446811,0.0003520887,0.00018907087,0.000014347657,0.00024923205,0.00006261073,0.000072053466],"category_scores_gemma":[0.00013765553,0.000059804748,0.00006357902,0.00029441106,0.00015069127,0.00029263293,0.00007525495,0.00016970946,0.00007630773],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005378927,0.00007031341,0.9409008,0.00006193342,0.000026344385,0.0000014773763,0.0011777525,0.000102227925,0.000063019164,0.04537795,0.0022074855,0.009956909],"study_design_scores_gemma":[0.0015602374,0.00070762297,0.820294,0.000061092236,0.0000064586256,4.021607e-7,0.0018898955,0.0046121236,0.0009939607,0.0024656767,0.1671498,0.00025873288],"about_ca_topic_score_codex":0.00055898767,"about_ca_topic_score_gemma":0.0030796912,"teacher_disagreement_score":0.16494231,"about_ca_system_score_codex":0.00014171889,"about_ca_system_score_gemma":0.000013375486,"threshold_uncertainty_score":0.24387668},"labels":[],"label_agreement":null},{"id":"W2748149120","doi":"10.1007/s11146-017-9624-1","title":"Distortions in Real Estate Transactions with Out-of-State Participants","year":2017,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Real estate; State (computer science); Purchasing; Disadvantage; Bargaining power; Economics; Microeconomics; Transactional leadership; Business; Econometrics; Monetary economics; Finance; Marketing","score_opus":0.0515969778122361,"score_gpt":0.2522288200890501,"score_spread":0.20063184227681402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2748149120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9702609,0.000032121698,0.0005231901,0.0003934161,0.0003871518,0.00010383961,0.00008942585,0.0000045935217,0.02820532],"genre_scores_gemma":[0.80544984,0.19398054,0.00033327288,0.0000104198925,0.000035867157,0.0000030525487,0.0000013018831,0.000021067986,0.00016462717],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9984184,0.000020449197,0.0010145669,0.00017614472,0.00002069167,0.00034973965],"domain_scores_gemma":[0.9976287,0.00008852796,0.0017383497,0.00041959388,0.000036743564,0.000088071625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001159181,0.00016732563,0.00058672996,0.00014543046,0.00028371927,0.00009607518,0.00036493232,0.0000575393,0.0000139768135],"category_scores_gemma":[0.000025021223,0.00014534402,0.00009110154,0.000043396933,0.00031474323,0.000737356,0.000028515202,0.00024164816,0.000012687441],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026894487,0.00049335737,0.3700217,0.00015115015,0.00041160124,0.00007242681,0.03270509,0.07948734,0.00003650394,0.004848924,0.00013525321,0.5089472],"study_design_scores_gemma":[0.0068926727,0.0014784978,0.889866,0.00030457528,0.00019225021,0.00015210595,0.0025342787,0.035337325,0.00037512096,0.02053325,0.040974937,0.0013590177],"about_ca_topic_score_codex":0.002630531,"about_ca_topic_score_gemma":0.009899485,"teacher_disagreement_score":0.5198443,"about_ca_system_score_codex":0.00011338726,"about_ca_system_score_gemma":0.00009209922,"threshold_uncertainty_score":0.5926957},"labels":[],"label_agreement":null},{"id":"W2748948722","doi":"","title":"RESEARCH: OCCUPATIONAL PRESTIGE AND WEALTH DISTRIBUTION IN THE RENAISSANCE: A REEXAMINATION OF THE TUSCAN CATASTO OF 1427","year":2012,"lang":"en","type":"article","venue":"International Business Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Prestige; The Renaissance; Distribution (mathematics); Revenue; Phenomenon; Population; Occupational prestige; Balance sheet; Tax revenue; Financial crisis; Economics; Public economics; Sociology; Finance; History; Socioeconomic status; Demography","score_opus":0.18115501117386779,"score_gpt":0.3759782219825962,"score_spread":0.1948232108087284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2748948722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97531825,0.00036159635,0.00017303601,0.0031987496,0.0003138108,0.00029367502,0.0002669397,0.00000300119,0.020070946],"genre_scores_gemma":[0.99919343,0.000330867,0.000042797554,0.000013848447,0.0001568947,0.000038707996,0.00008735851,0.0000077608,0.00012836179],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99861354,0.00018693217,0.00045709687,0.00017983108,0.0002757223,0.00028687224],"domain_scores_gemma":[0.99847066,0.0005552957,0.00019238172,0.00027158557,0.0004757861,0.00003426321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0073476266,0.00006355786,0.00014124086,0.00036108933,0.00013966247,0.0000482513,0.0005254816,0.00006522818,0.00007422185],"category_scores_gemma":[0.0018906519,0.000050762326,0.000028848366,0.0008828417,0.00042103822,0.00033048366,0.00020276498,0.0002975264,0.000015064798],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000098647215,0.00020898302,0.8440844,0.000070372014,0.000013404794,3.303909e-7,0.0009857076,0.00008753592,0.00005924165,0.149501,0.0028349145,0.0020555153],"study_design_scores_gemma":[0.00022221435,0.000015111478,0.97768843,0.000051246603,7.361698e-7,0.0000031085697,0.00019873933,0.0007409149,0.000080242,0.009281099,0.01167009,0.00004804224],"about_ca_topic_score_codex":0.0019968222,"about_ca_topic_score_gemma":0.0002667541,"teacher_disagreement_score":0.1402199,"about_ca_system_score_codex":0.00022679621,"about_ca_system_score_gemma":0.00010120989,"threshold_uncertainty_score":0.3018611},"labels":[],"label_agreement":null},{"id":"W2750713623","doi":"","title":"Does Real Estate Fund in Thailand Provide Diversification Benefits for Stock Investment","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Assumption University","funders":"","keywords":"Real estate; Real estate investment trust; Business; Capitalization rate; Diversification (marketing strategy); Fund of funds; Finance; Portfolio; Option fee; Closed-end fund; Alternative investment; Stock (firearms); Financial economics; Economics; Market liquidity; Marketing","score_opus":0.029714693053673174,"score_gpt":0.22112875017279426,"score_spread":0.1914140571191211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2750713623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9798851,0.00026287118,0.0031750856,0.0019665605,0.00043368907,0.00033199118,0.00005512307,0.000019568923,0.013870012],"genre_scores_gemma":[0.9624793,0.035240542,0.0001626794,0.000050711853,0.00018053556,0.000025486446,0.0000062127706,0.000024887666,0.0018296338],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99806136,0.000014026832,0.00046149478,0.00027279244,0.000024163624,0.0011661587],"domain_scores_gemma":[0.9993511,0.000065981854,0.00033569493,0.00015625889,0.000022339913,0.00006866771],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015364068,0.00012471194,0.00022730204,0.00020355705,0.00012417103,0.00006412603,0.00019009948,0.000071607516,0.00002634366],"category_scores_gemma":[0.000058591515,0.000086545275,0.00008619095,0.00007148926,0.000029110568,0.0003510336,0.000026183074,0.0002434354,0.000051658335],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000256757,0.00011822986,0.328774,0.000015945634,0.00010166007,8.747536e-7,0.00045979614,0.000066707486,0.00004856276,0.43986082,0.00013802717,0.23015861],"study_design_scores_gemma":[0.004172385,0.0005999797,0.04048012,0.000047472346,0.00001663339,0.000020512483,0.00053686154,0.0007502491,0.00007572829,0.8927641,0.06000439,0.00053154904],"about_ca_topic_score_codex":0.00027498908,"about_ca_topic_score_gemma":0.0048224768,"teacher_disagreement_score":0.45290327,"about_ca_system_score_codex":0.0014440701,"about_ca_system_score_gemma":0.00027686625,"threshold_uncertainty_score":0.37761933},"labels":[],"label_agreement":null},{"id":"W2751072691","doi":"10.5539/ijef.v9n10p86","title":"Land Tax, Justice, and the Unaffordability of Housing: Australian Experience","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Tax reform; Ad valorem tax; Economics; Tax credit; Indirect tax; Direct tax; Value-added tax; Public economics; Consumption tax; Political economy; Economic policy","score_opus":0.038697979500582444,"score_gpt":0.260817108507619,"score_spread":0.22211912900703656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2751072691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989105,0.0003751755,0.00011182093,0.0026943989,0.001094401,0.000054874297,0.000047408823,0.0000011467931,0.00651581],"genre_scores_gemma":[0.9850309,0.013544881,0.0009702285,0.00008514977,0.00020169784,0.0000016210541,6.1194737e-7,0.000008193639,0.00015670485],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989963,0.00000925692,0.00070158736,0.00015977207,0.000018328445,0.00011470969],"domain_scores_gemma":[0.9979655,0.000104470215,0.0015822495,0.0002366957,0.00007575736,0.000035303485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010442842,0.000097707714,0.00036403933,0.00007846687,0.00015874025,0.00024049678,0.00052585464,0.00006466011,0.000018033168],"category_scores_gemma":[0.00026799398,0.00008676525,0.000091014495,0.000013151288,0.00050469884,0.00046441326,0.00012849606,0.00013581655,0.0000028304603],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007051194,0.00008860421,0.29019883,0.000036759437,0.00018678383,0.000009560613,0.0016935121,0.0015812918,0.0000039860543,0.68222654,0.00021487147,0.023054162],"study_design_scores_gemma":[0.009170597,0.00020889848,0.3405194,0.00014348401,0.0000792599,0.00020704683,0.00056563027,0.036354486,0.00026032975,0.46989447,0.14195155,0.00064486935],"about_ca_topic_score_codex":0.00021636132,"about_ca_topic_score_gemma":0.00008183324,"teacher_disagreement_score":0.21233205,"about_ca_system_score_codex":0.000046275458,"about_ca_system_score_gemma":0.000027618382,"threshold_uncertainty_score":0.35381842},"labels":[],"label_agreement":null},{"id":"W2752011487","doi":"10.1007/s11146-017-9619-y","title":"Political Risk Affects Real Estate Markets","year":2017,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Real estate; Referendum; Brexit; Politics; Rest (music); Economics; Estate; Business; Financial economics; Political science; Finance; Economic policy; Law; European union","score_opus":0.019309632392047856,"score_gpt":0.22725593296153976,"score_spread":0.2079463005694919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2752011487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75365025,0.00005104701,0.000046682802,0.0007908916,0.00065489084,0.00009329623,0.000086046595,0.000008816273,0.24461806],"genre_scores_gemma":[0.70851284,0.29055738,0.0003703829,0.00004917562,0.0002678477,0.0000016341114,0.0000020099537,0.000033364908,0.00020537821],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9981024,0.000052268948,0.000920447,0.00027466353,0.000027835136,0.00062238466],"domain_scores_gemma":[0.9964727,0.000267862,0.0023186663,0.0006942265,0.00004151662,0.00020503177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026316815,0.00026384517,0.00073373545,0.00014210632,0.0007068687,0.00034619236,0.00071393343,0.00013606096,0.000025954798],"category_scores_gemma":[0.00017831167,0.00023881398,0.00018703773,0.000033872442,0.00039155385,0.0008776917,0.00018711586,0.00043372685,0.00007437179],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016500208,0.00018727042,0.32864565,0.00010915351,0.0003786246,0.00009084267,0.0028086947,0.0011655908,0.000008858313,0.13730542,0.0021642684,0.52548563],"study_design_scores_gemma":[0.0037852556,0.00070958096,0.7650646,0.00010067896,0.0001436067,0.00046190852,0.000766446,0.018421542,0.00011441219,0.08061766,0.12870643,0.0011078984],"about_ca_topic_score_codex":0.0019781012,"about_ca_topic_score_gemma":0.00047481584,"teacher_disagreement_score":0.5243777,"about_ca_system_score_codex":0.00017429213,"about_ca_system_score_gemma":0.00008763029,"threshold_uncertainty_score":0.9738552},"labels":[],"label_agreement":null},{"id":"W2756220843","doi":"10.2139/ssrn.3030441","title":"Does Housing Make I.T. Boom? The Collateral Channel, Information Technology, and Skilled Labor","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Collateral; Boom; Labour economics; Business; Channel (broadcasting); Economics; Industrial organization; Finance; Engineering; Telecommunications","score_opus":0.006609898366002877,"score_gpt":0.19804821003510936,"score_spread":0.1914383116691065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2756220843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9700672,0.00087266543,0.0017006055,0.0130728325,0.0009824337,0.0001735061,0.000017962539,0.00003969929,0.013073103],"genre_scores_gemma":[0.99075776,0.0081447065,0.00009874747,0.0001801788,0.0002240611,0.000005492798,0.0000018627572,0.000015684604,0.00057149655],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983927,0.000009288631,0.0004068933,0.00014064553,0.000023736591,0.001026712],"domain_scores_gemma":[0.9989585,0.000016244503,0.0006317455,0.0003196778,0.000031397183,0.000042412325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015341851,0.00013066047,0.00023481894,0.0002511122,0.001225334,0.0006930581,0.0004042305,0.00012375014,0.000018541572],"category_scores_gemma":[0.000116742856,0.00008933628,0.000057520778,0.00007922085,0.00013890819,0.0007336019,0.000111255016,0.00075647363,0.000061388564],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008076097,0.000029113875,0.15044042,0.000015352925,0.00021861689,0.000002200716,0.0007166748,0.000041402513,0.0000050759772,0.7405202,0.00013362088,0.10779657],"study_design_scores_gemma":[0.0010896433,0.00010810029,0.010834725,0.000018381017,0.000012795721,0.000113118986,0.0011684309,0.0018377146,0.00002150517,0.9250311,0.059487835,0.00027661002],"about_ca_topic_score_codex":0.0000878865,"about_ca_topic_score_gemma":0.0008024533,"teacher_disagreement_score":0.18451095,"about_ca_system_score_codex":0.00031888662,"about_ca_system_score_gemma":0.00016404245,"threshold_uncertainty_score":0.9424402},"labels":[],"label_agreement":null},{"id":"W2756904085","doi":"","title":"Exploring Rental Housing Market in Kitchener-Waterloo, Ontario","year":2017,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Strong","keywords":"Renting; Rental housing; Business; Geography; Engineering; Civil engineering","score_opus":0.0529561360934908,"score_gpt":0.19136147965087544,"score_spread":0.13840534355738465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2756904085","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.914809,0.000090645604,0.0000037633674,0.00012863819,0.0013668949,0.000191091,0.00005112893,0.000035379,0.08332345],"genre_scores_gemma":[0.4324562,0.0009508919,0.00085064216,0.0000073692754,0.00008353363,0.0000016092885,0.00030741718,0.00006861538,0.5652737],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9983296,0.000020294468,0.00041680102,0.0006870692,0.000057656223,0.0004886138],"domain_scores_gemma":[0.99833745,0.000022036354,0.00086343626,0.00062948954,0.000035099656,0.00011246654],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00048180093,0.00034839363,0.0009395979,0.0007835811,0.0002974373,0.0001129338,0.0006636345,0.00035250236,0.0016661925],"category_scores_gemma":[0.000021120179,0.0005309159,0.00028772294,0.000099040786,0.00007979466,0.0009754899,0.000100428304,0.00044778857,0.00022135388],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015834946,0.00064968196,0.37977698,0.0011832581,0.0004791556,0.00038186903,0.5829149,0.00014567358,0.00021988645,0.0016084724,0.0031996204,0.027857002],"study_design_scores_gemma":[0.0074586645,0.000489492,0.68199855,0.002368716,0.0002633877,0.000013086826,0.21888867,0.0016839454,0.0010806826,0.008159497,0.07255182,0.0050435215],"about_ca_topic_score_codex":0.6792099,"about_ca_topic_score_gemma":0.9241013,"teacher_disagreement_score":0.4823528,"about_ca_system_score_codex":0.00076833536,"about_ca_system_score_gemma":0.00010762436,"threshold_uncertainty_score":0.99971426},"labels":[],"label_agreement":null},{"id":"W2757172547","doi":"","title":"Can See to Can’t See: Surprises at Montpelier’s Home Quarter","year":2014,"lang":"en","type":"article","venue":"Society for Historical Archaeology","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Archaeology; History; Art","score_opus":0.019290987833626847,"score_gpt":0.20209073122188256,"score_spread":0.18279974338825572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2757172547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84206384,0.0014040989,0.044398244,0.06817704,0.0087588895,0.0011772885,0.0005360137,0.0003334775,0.033151075],"genre_scores_gemma":[0.9727741,0.00024572594,0.007366102,0.0034667742,0.0008167791,0.0001531544,0.00006487912,0.00007921383,0.015033259],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979318,0.00002187268,0.000609844,0.00067100464,0.000034383367,0.00073112623],"domain_scores_gemma":[0.9987673,0.00025489973,0.00021209785,0.00043618007,0.00003968731,0.0002898338],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006565731,0.00024239824,0.0007107788,0.00010151092,0.0002808944,0.00001367491,0.00034321356,0.0002711515,0.00022097875],"category_scores_gemma":[0.0001501976,0.0002928547,0.00058671716,0.00014448792,0.00019486966,0.000053440428,0.00022625142,0.0001845532,0.00037929133],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021442791,0.00021760426,0.13067907,0.000184294,0.00030388904,0.0000032126393,0.027487062,0.00037771618,0.00005437503,0.13578635,0.69673723,0.00795478],"study_design_scores_gemma":[0.0006639502,0.00029106493,0.0029957003,0.0000028870143,0.000012922926,0.0000048217858,0.00007127373,0.0018397197,0.000008242696,0.059566915,0.93411034,0.00043217343],"about_ca_topic_score_codex":0.0016364916,"about_ca_topic_score_gemma":0.0025860777,"teacher_disagreement_score":0.23737311,"about_ca_system_score_codex":0.0024242774,"about_ca_system_score_gemma":0.000038189573,"threshold_uncertainty_score":0.9999524},"labels":[],"label_agreement":null},{"id":"W2760829493","doi":"10.1111/jors.12360","title":"A Review of Volume 5 of the Handbook of Regional and Urban Economics, Parts III and IV","year":2017,"lang":"en","type":"review","venue":"Journal of Regional Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Superstar; Stylized fact; Bust; Economics; Boom; Real estate; Urban economics; Macroeconomics; Financial economics; Microeconomics; Finance; Business","score_opus":0.12481240210961124,"score_gpt":0.2951338376090466,"score_spread":0.17032143549943535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2760829493","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006080803,0.9963675,0.000015891464,0.0003997596,0.00033461436,0.00020818615,0.00003954289,9.28503e-7,0.0020254792],"genre_scores_gemma":[0.00063192664,0.99857223,0.00030028072,0.00009887147,0.00013130269,0.0000021135313,0.000001106744,0.000013770603,0.0002483737],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99741256,0.000033858134,0.0019415856,0.00031169323,0.00009104508,0.00020923594],"domain_scores_gemma":[0.99127305,0.00013992137,0.00779474,0.00048344696,0.00017468764,0.00013414868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032083823,0.00021515839,0.0021752948,0.0003189074,0.00015235867,0.000048523918,0.001007848,0.00012291834,0.000028845565],"category_scores_gemma":[0.00033391293,0.00016581504,0.00053065846,0.00016322335,0.0018150711,0.00039204577,0.0002353219,0.00024407702,0.0000021158496],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092059825,0.00026242438,0.011290848,0.07992864,0.00061156927,0.0000066615794,0.000570052,0.000012754269,0.0000027093138,0.053688567,0.043884017,0.8096497],"study_design_scores_gemma":[0.0002087154,0.00006850438,0.00044577813,0.039037377,0.000091946786,0.00019245918,0.0000059094255,0.00004133725,8.939144e-7,0.0020999326,0.95764476,0.00016239232],"about_ca_topic_score_codex":0.000034476307,"about_ca_topic_score_gemma":0.000007097853,"teacher_disagreement_score":0.9137607,"about_ca_system_score_codex":0.00011112587,"about_ca_system_score_gemma":0.0006979979,"threshold_uncertainty_score":0.6761741},"labels":[],"label_agreement":null},{"id":"W2761130388","doi":"10.1155/2017/3073282","title":"Determinants of Growth in Multiunit Housing Demand since the Great Recession: An Age-Period-Cohort Analysis","year":2017,"lang":"en","type":"article","venue":"Urban Studies Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Baby boomers; Recession; Great recession; Economics; Demographic economics; Cohort; Census; Occupancy; Population; Demography; Labour economics; Medicine; Macroeconomics","score_opus":0.1752909335957503,"score_gpt":0.37850863905432697,"score_spread":0.20321770545857668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2761130388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.983354,0.0014736587,0.000013094078,0.0003263915,0.00016627953,0.0002517226,0.000019297595,0.000010452856,0.014385118],"genre_scores_gemma":[0.9954175,0.003585771,0.00017216237,0.000014704197,0.00010964858,0.0000342041,0.000003327415,0.00002341449,0.0006393111],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979716,0.00013682828,0.00069607794,0.00054177165,0.00010782229,0.00054591184],"domain_scores_gemma":[0.99802274,0.00027564316,0.0003897773,0.0010659379,0.00016482771,0.00008105494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046239747,0.00016740969,0.0008157119,0.0006578025,0.001251128,0.0002807703,0.00091322185,0.00010164783,0.000048239606],"category_scores_gemma":[0.001382936,0.0001423302,0.00013703175,0.00054972083,0.00082468067,0.0004271753,0.0005475875,0.0003232148,0.00003867651],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000455047,0.000054748743,0.99369943,0.000044150645,0.00021828437,0.000031921976,0.0023466079,0.000027082167,0.000005257851,0.00064750167,0.0001889184,0.0026905872],"study_design_scores_gemma":[0.00044772823,0.00007681347,0.98798054,0.00006114426,0.000037054684,0.0000012176836,0.0013431596,0.0057068556,0.00012501948,0.0027958138,0.001185358,0.00023927611],"about_ca_topic_score_codex":0.002703004,"about_ca_topic_score_gemma":0.006760256,"teacher_disagreement_score":0.013745807,"about_ca_system_score_codex":0.00019453175,"about_ca_system_score_gemma":0.000029990802,"threshold_uncertainty_score":0.9622792},"labels":[],"label_agreement":null},{"id":"W2762262295","doi":"10.1111/roiw.12443","title":"Alternative Land‐Price Indexes for Commercial Properties in Tokyo","year":2019,"lang":"en","type":"article","venue":"Review of Income and Wealth","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Real estate; Hedonic regression; Depreciation (economics); Database transaction; Price index; Economics; Index (typography); Econometrics; Hedonic index; Real estate investment trust; Hedonic pricing; Regression analysis; Transaction data; Investment (military); Industrial production index; Agricultural economics; Database; Finance; Macroeconomics; Microeconomics; Statistics; Computer science; Mathematics; Production (economics)","score_opus":0.03405980311268737,"score_gpt":0.2539924232249989,"score_spread":0.21993262011231152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2762262295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9140285,0.063848935,0.00010684872,0.00078875915,0.0002919363,0.0008222204,0.00006177346,0.000008773527,0.020042226],"genre_scores_gemma":[0.8259391,0.17318512,0.00017022187,0.00053192605,0.000047072626,0.000021181046,0.000005787031,0.0000104003975,0.00008914525],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99909574,0.000014583819,0.00054232375,0.00017639076,0.00001447153,0.0001565003],"domain_scores_gemma":[0.9994527,0.00005488803,0.00029807194,0.00014047344,0.000018336643,0.00003549666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008283005,0.00008806227,0.0005713063,0.00009677665,0.000024514293,0.000012159544,0.00010990981,0.00003946296,0.000058899263],"category_scores_gemma":[0.00006227469,0.00008263124,0.00006052722,0.00007951511,0.00002374825,0.000116677744,0.000041354662,0.000068559,0.000041795614],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040848925,0.000065649336,0.937982,0.012319207,0.000019853733,2.4903005e-7,0.0002682754,0.000008468531,0.0000024625824,0.02700886,0.00015066516,0.02213345],"study_design_scores_gemma":[0.0058936165,0.0011221819,0.57153255,0.024318574,0.000033716304,0.000011501939,0.00011672759,0.005546912,0.00016571423,0.049310315,0.34043616,0.001512017],"about_ca_topic_score_codex":0.00039566483,"about_ca_topic_score_gemma":0.0000657258,"teacher_disagreement_score":0.36644945,"about_ca_system_score_codex":0.000046673526,"about_ca_system_score_gemma":0.000024173238,"threshold_uncertainty_score":0.3369604},"labels":[],"label_agreement":null},{"id":"W2763539257","doi":"10.15396/eres2016_105","title":"Effects of the change of valuer on the assessment of capital value for property portfolio valuations. A qualitative approach in the UK context.","year":2016,"lang":"en","type":"article","venue":"25th Annual European Real Estate Society Conference","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Portfolio; Context (archaeology); Value (mathematics); Property (philosophy); Qualitative research; Computer science; Actuarial science; Knowledge management; Business; Finance; Sociology; Epistemology; Social science; Geography; Machine learning","score_opus":0.07968031059813868,"score_gpt":0.28924318022722467,"score_spread":0.209562869629086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2763539257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8813967,0.000030191637,0.0022713568,0.0007877366,0.00015246337,0.0017433271,0.0006600394,0.0000089952355,0.11294919],"genre_scores_gemma":[0.9980454,0.0008953518,0.0004528344,0.00023279076,0.000036485966,0.00009157294,0.0000090156655,0.000022966202,0.00021360363],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9981789,0.00047118185,0.0007059249,0.00029949148,0.00009734733,0.0002471743],"domain_scores_gemma":[0.9978471,0.00076336914,0.00078934553,0.0004025029,0.00016530792,0.00003240986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039904094,0.00017332753,0.0003969297,0.000040530234,0.00009708811,0.000022028713,0.0005595048,0.000049475977,0.000011850891],"category_scores_gemma":[0.00027411513,0.00007960331,0.00028389986,0.00016998462,0.0004089941,0.00012746394,0.00009738919,0.00014368478,0.0000040090194],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009237036,0.00056698994,0.011203375,0.0003550584,0.00020095835,7.224112e-7,0.21960369,0.00007374696,0.00017373983,0.74788177,0.0014883947,0.018359162],"study_design_scores_gemma":[0.007572096,0.0023229152,0.8224821,0.0008718629,0.00016530485,0.000003812263,0.10575751,0.029851235,0.00085753365,0.022422634,0.006492144,0.001200821],"about_ca_topic_score_codex":0.00078817527,"about_ca_topic_score_gemma":0.000028619292,"teacher_disagreement_score":0.81127876,"about_ca_system_score_codex":0.00006651935,"about_ca_system_score_gemma":0.00011393969,"threshold_uncertainty_score":0.3246129},"labels":[],"label_agreement":null},{"id":"W2763547173","doi":"10.15396/eres2016_259","title":"Flood impact on property value a UK and Canada a preliminary study","year":2016,"lang":"en","type":"article","venue":"25th Annual European Real Estate Society Conference","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Property value; Flood myth; Property (philosophy); Value (mathematics); Computer science; Geography; Business; Archaeology","score_opus":0.02005987445775128,"score_gpt":0.213482911817863,"score_spread":0.1934230373601117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2763547173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80672586,0.00001283547,0.000069717054,0.0002830023,0.00014515221,0.00032030258,0.0005148699,0.00005239919,0.19187587],"genre_scores_gemma":[0.9956685,0.001857876,0.0001374838,0.00021967354,0.000084023006,0.000009166842,0.000010905048,0.00005639895,0.0019559828],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980706,0.00009623286,0.00054384314,0.00069395645,0.00006584753,0.00052951364],"domain_scores_gemma":[0.9988718,0.00007780553,0.00026590293,0.00043205067,0.00006634041,0.00028610913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007856048,0.00032627376,0.00044195808,0.000043786313,0.00020416586,0.00012593229,0.000319262,0.00005175761,0.000092192284],"category_scores_gemma":[0.00007790248,0.00021615977,0.000132803,0.00008663358,0.00012637004,0.00023212639,0.00018982634,0.00018874205,0.0001199817],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013279227,0.0013418363,0.6086414,0.00016555589,0.00094187877,0.00038871227,0.03513355,0.00026290692,0.000059421127,0.009524519,0.04213897,0.30007333],"study_design_scores_gemma":[0.004410072,0.0039555016,0.9462042,0.00014507338,0.00004460947,0.000032015716,0.0059720217,0.006323935,0.000017158862,0.00055259175,0.030751133,0.001591713],"about_ca_topic_score_codex":0.28964397,"about_ca_topic_score_gemma":0.037669938,"teacher_disagreement_score":0.33756277,"about_ca_system_score_codex":0.0002698468,"about_ca_system_score_gemma":0.00029230068,"threshold_uncertainty_score":0.9798901},"labels":[],"label_agreement":null},{"id":"W2764172806","doi":"10.1108/ijhma-04-2017-0040","title":"Market heterogeneity, investment risk and portfolio allocation","year":2017,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Real estate; Economics; Portfolio; Volatility (finance); Originality; Investment (military); Context (archaeology); Financial economics; Quantile regression; Econometrics; Actuarial science; Finance; Geography","score_opus":0.020932231369919136,"score_gpt":0.24983567740790166,"score_spread":0.22890344603798252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2764172806","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9612744,0.0006949252,0.003783379,0.0007889765,0.00049890205,0.00003439297,0.00003262022,0.0000057931925,0.03288663],"genre_scores_gemma":[0.99114424,0.0068234107,0.0014622136,0.00017509589,0.00020311687,7.5869053e-7,0.000004182883,0.000012396265,0.00017458612],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99889207,0.000028108989,0.00065530447,0.00021768731,0.000074443305,0.00013237153],"domain_scores_gemma":[0.99784154,0.000051651023,0.0016555677,0.00022637426,0.000114146584,0.000110712135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014546065,0.00012494411,0.00039936975,0.00074328424,0.00024753928,0.0006750846,0.00032256378,0.000059889215,0.00017228728],"category_scores_gemma":[0.00025333217,0.00012851729,0.00020072839,0.00007378115,0.00010788418,0.00049957895,0.00014437645,0.00011897975,0.0000032838548],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008964042,0.000052322608,0.9664836,0.0000057634543,0.0019026116,0.000025322652,0.000081654754,0.00008227189,0.000010223135,0.0021129642,0.0005102728,0.028643345],"study_design_scores_gemma":[0.00076037075,0.000039570838,0.9471974,0.000029236306,0.0003490795,0.000046956266,0.000038318773,0.020078216,0.000028283974,0.011720442,0.019483443,0.00022869123],"about_ca_topic_score_codex":0.0002298862,"about_ca_topic_score_gemma":0.00010020187,"teacher_disagreement_score":0.032712046,"about_ca_system_score_codex":0.000072109746,"about_ca_system_score_gemma":0.00001756095,"threshold_uncertainty_score":0.6509856},"labels":[],"label_agreement":null},{"id":"W2766610226","doi":"10.3905/jsf.2017.23.3.036","title":"Higher Mortgage Rates: <i>The Effect on Housing and Mortgage Markets</i>","year":2017,"lang":"en","type":"article","venue":"The journal of structured finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Monetary policy; Federal funds; Point (geometry); Economics; Quantitative easing; Business; Monetary economics; Finance; Central bank; Geography","score_opus":0.016337225756290007,"score_gpt":0.22261239354732731,"score_spread":0.2062751677910373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766610226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9786225,0.0013202233,0.00025394346,0.00091154553,0.0019433158,0.00019026428,0.000030095935,0.0000101819915,0.016717933],"genre_scores_gemma":[0.99735147,0.0009872819,0.0001736667,0.00038131306,0.00050297444,0.0000029327236,8.0522284e-7,0.000041785173,0.00055775617],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985819,0.000063832864,0.0006887196,0.00025605605,0.00006578381,0.00034369665],"domain_scores_gemma":[0.9971289,0.00025365443,0.0016991242,0.0008199868,0.00003335402,0.00006500491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019230535,0.0002615793,0.0005602727,0.000095263495,0.0009647996,0.00037945184,0.00087793433,0.00013453218,0.000068108035],"category_scores_gemma":[0.0001181174,0.00017735045,0.00016250544,0.00006948907,0.00031127786,0.00034258977,0.00012528764,0.0006029964,0.000025203808],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0038431024,0.00012908468,0.6912752,0.00030089638,0.000859848,0.00035401434,0.0025455672,0.003009164,0.00077255047,0.03171763,0.025201203,0.23999178],"study_design_scores_gemma":[0.0021319771,0.0004466709,0.83846617,0.00011800291,0.000059153885,0.00013894003,0.000031976404,0.001293347,0.00043455762,0.023494104,0.13289003,0.00049509236],"about_ca_topic_score_codex":0.00006407074,"about_ca_topic_score_gemma":0.000043109703,"teacher_disagreement_score":0.2394967,"about_ca_system_score_codex":0.000076164244,"about_ca_system_score_gemma":0.000021981032,"threshold_uncertainty_score":0.7420556},"labels":[],"label_agreement":null},{"id":"W2766670542","doi":"","title":"Collateral Risk and Demographic Discrimination in Mortgage Market Equilibria","year":2017,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Collateral; Mortgage underwriting; Underwriting; Loan; Foreclosure; Loan-to-value ratio; Economics; Shared appreciation mortgage; Value (mathematics); Business; Monetary economics; Mortgage insurance; Actuarial science; Finance","score_opus":0.023375184021149107,"score_gpt":0.22901029934715836,"score_spread":0.20563511532600925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766670542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9152369,0.044416692,0.000019423655,0.00045026,0.0001949359,0.0002623891,0.00012523885,0.000004475441,0.039289698],"genre_scores_gemma":[0.5063077,0.49320492,0.00031024753,0.000058816782,0.000019727318,0.000009316064,0.000003932685,0.000010681069,0.00007463856],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998565,0.00001723193,0.00079084863,0.0004041242,0.000008062495,0.00021473572],"domain_scores_gemma":[0.9983615,0.000046070774,0.0010550952,0.00048445028,0.000012283985,0.000040576935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012562181,0.00016287438,0.0007076676,0.00013116516,0.00015539792,0.000108732784,0.00022212589,0.00008235167,0.000035416477],"category_scores_gemma":[0.0001322171,0.00019457666,0.00008776512,0.000043732758,0.00016945747,0.0004650551,0.00014254161,0.000111591864,0.0000073309684],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047000587,0.00007137049,0.6570075,0.0028053103,0.00004337542,0.000003683628,0.00016275329,0.000021170004,0.0000018701228,0.19645622,0.00046061902,0.14291912],"study_design_scores_gemma":[0.0010820825,0.000074443735,0.7845865,0.0018687063,0.000025185762,0.000009922055,0.000013380327,0.032309517,0.000006192208,0.08133672,0.098140895,0.0005464596],"about_ca_topic_score_codex":0.00029276454,"about_ca_topic_score_gemma":0.00026737034,"teacher_disagreement_score":0.44878823,"about_ca_system_score_codex":0.000033132987,"about_ca_system_score_gemma":0.000014329115,"threshold_uncertainty_score":0.79346055},"labels":[],"label_agreement":null},{"id":"W2766824823","doi":"","title":"Housing Policy in the United States - eScholarship","year":2008,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Voucher; Renting; Rental housing; Business; Government (linguistics); Public housing; Subsidized housing; Tax policy; Tax credit; Public economics; Economic growth; Finance; Economics; Tax reform; Political science; Market economy","score_opus":0.06224640783853575,"score_gpt":0.23532725791147624,"score_spread":0.1730808500729405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766824823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8178699,0.000058837864,0.00020677678,0.0014085758,0.00007528562,0.000072055744,0.0000068299137,0.00003167706,0.18027003],"genre_scores_gemma":[0.99555045,0.0009013743,0.0003044463,0.0027145934,0.00010412663,0.000005429804,0.000022057668,0.000017691284,0.00037984856],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99911016,0.000023479097,0.00036856363,0.00019619089,0.00001689754,0.0002846824],"domain_scores_gemma":[0.99950856,0.00008839835,0.00009692648,0.0002602548,0.000007722628,0.00003811287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071004074,0.00010009756,0.00018367174,0.00048363482,0.0001513658,0.00008453271,0.00025138172,0.0000611846,0.00016258348],"category_scores_gemma":[0.00011843005,0.00009186123,0.000053452826,0.00059683004,0.00006152528,0.00021286804,0.000032462063,0.00016791976,0.00044806144],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022652117,0.00013891386,0.66462374,0.000013166091,0.000018588386,0.000029447592,0.004083041,0.0018311377,0.00000270018,0.32575145,0.002149989,0.0013351962],"study_design_scores_gemma":[0.001621887,0.00008591476,0.32000038,0.0000170729,0.0000036303954,0.000065351174,0.0013511906,0.023883052,0.0000482038,0.19624864,0.45581055,0.0008641069],"about_ca_topic_score_codex":0.005095025,"about_ca_topic_score_gemma":0.0002896668,"teacher_disagreement_score":0.45366058,"about_ca_system_score_codex":0.00010086924,"about_ca_system_score_gemma":0.00002164447,"threshold_uncertainty_score":0.7702188},"labels":[],"label_agreement":null},{"id":"W2766907042","doi":"10.1080/17421772.2018.1395063","title":"Past price ‘memory’ in the housing market: testing the performance of different spatio-temporal specifications","year":2017,"lang":"en","type":"article","venue":"Spatial Economic Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Fonds de Recherche du Québec-Société et Culture","keywords":"Dimension (graph theory); Econometrics; Database transaction; Computer science; Specification; Temporal database; Transaction cost; Transaction data; Economics; Microeconomics; Data mining; Mathematics; Database","score_opus":0.05303471008971734,"score_gpt":0.2239780117217964,"score_spread":0.17094330163207905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766907042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9207213,0.00003982741,0.0009210285,0.00090372225,0.000249722,0.00022036083,0.00005405227,0.000011768131,0.07687823],"genre_scores_gemma":[0.9990448,0.0001399393,0.00021775774,0.00005775071,0.00030173798,0.000029592178,0.000025600306,0.000021227434,0.00016163188],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99816823,0.000048574446,0.0010100948,0.00042240694,0.000036466554,0.00031421406],"domain_scores_gemma":[0.99688417,0.0002468473,0.0014893526,0.0013119641,0.000024004972,0.00004363491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014920867,0.00020232017,0.00060830987,0.00032363727,0.0006492005,0.00032701512,0.0010663794,0.000077426266,0.00065769325],"category_scores_gemma":[0.00013191694,0.00016410241,0.00027021844,0.00019813297,0.0002203862,0.00030891632,0.0001347917,0.00019544506,0.00010412325],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022642327,0.0000494056,0.9868176,0.000012772811,0.00017969124,5.5693204e-7,0.00044544367,0.006060209,0.0000015682378,0.0014612857,0.000111275665,0.0048375498],"study_design_scores_gemma":[0.00021402423,0.000021123464,0.71419895,0.000007893634,0.0000719334,6.2050407e-7,0.0001518937,0.28361496,0.000011909243,0.00056549965,0.0009718683,0.0001693179],"about_ca_topic_score_codex":0.007258248,"about_ca_topic_score_gemma":0.008977593,"teacher_disagreement_score":0.27755475,"about_ca_system_score_codex":0.0002092508,"about_ca_system_score_gemma":0.000036457204,"threshold_uncertainty_score":0.9993525},"labels":[],"label_agreement":null},{"id":"W2767493427","doi":"10.1111/iere.12366","title":"CITY EQUILIBRIUM WITH BORROWING CONSTRAINTS: STRUCTURAL ESTIMATION AND GENERAL EQUILIBRIUM EFFECTS","year":2018,"lang":"en","type":"article","venue":"International Economic Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Institut Européen d'Administration des Affaires; International Monetary Fund","keywords":"Economics; General equilibrium theory; Econometrics; Estimation; Price elasticity of demand; Structural estimation; Elasticity (physics); Microeconomics; Thermodynamics","score_opus":0.02102707739745462,"score_gpt":0.25901334264367815,"score_spread":0.23798626524622352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767493427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.836583,0.0043222536,0.002047703,0.0021397385,0.0021715625,0.00051073346,0.00010807066,0.00008000582,0.15203692],"genre_scores_gemma":[0.99120903,0.0027774281,0.0037566344,0.0012190008,0.00061381835,0.000028233524,0.00006358328,0.00003625471,0.00029603572],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984693,0.000019055566,0.0007077321,0.00050690747,0.00002960996,0.00026737747],"domain_scores_gemma":[0.9990795,0.000073739895,0.00043780287,0.00026493982,0.000037134476,0.00010685285],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005117617,0.00022241904,0.00051793904,0.00012310674,0.00006260364,0.00018019354,0.00027878434,0.00006881261,0.0013784476],"category_scores_gemma":[0.00010872199,0.00023479074,0.00009380852,0.000048924907,0.0002815601,0.00072899036,0.00011430051,0.00011062168,0.00051192613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028794975,0.00010531997,0.17302781,0.0031194235,0.0013303962,0.00003897943,0.0006011232,0.001382291,0.00020001302,0.38513032,0.012873696,0.4219027],"study_design_scores_gemma":[0.004557777,0.00063918607,0.037389252,0.003349949,0.00014754008,0.0006220684,0.000023524699,0.6956056,0.0006816478,0.063454166,0.19079518,0.0027341212],"about_ca_topic_score_codex":0.00007857951,"about_ca_topic_score_gemma":0.000016968272,"teacher_disagreement_score":0.6942233,"about_ca_system_score_codex":0.00024887195,"about_ca_system_score_gemma":0.00004500875,"threshold_uncertainty_score":0.9995344},"labels":[],"label_agreement":null},{"id":"W2768165215","doi":"10.5539/jsd.v10n6p87","title":"Development of an Assessment Strategy for Urban Regeneration Projects in Historic City Centres in Iraq","year":2017,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Regeneration (biology); Urban regeneration; Context (archaeology); Environmental planning; Sustainability; Process (computing); Plan (archaeology); Urban planning; Sustainable development; Business; Urban design; Cultural heritage; Environmental resource management; Civil engineering; Political science; Computer science; Engineering; Geography; Environmental science","score_opus":0.057074210682809684,"score_gpt":0.28125622718089754,"score_spread":0.22418201649808786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768165215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99310684,0.00015830585,0.0015435969,0.00012075544,0.00028939263,0.00038013706,0.0000019459676,0.0000032208259,0.004395774],"genre_scores_gemma":[0.96078026,0.000068109526,0.03839493,0.000011504317,0.000068864436,0.000027932167,0.0000072670205,0.000016504468,0.0006246105],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977918,0.000017153694,0.001515919,0.00022578769,0.0000646786,0.0003846494],"domain_scores_gemma":[0.99789304,0.000022386534,0.0016192934,0.00021663464,0.00016693058,0.00008169196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026732546,0.00014912116,0.00050719915,0.00064677553,0.00022505641,0.00013910123,0.00034643238,0.00009524225,0.000022493055],"category_scores_gemma":[0.00014978777,0.00016902674,0.000054872653,0.00010305302,0.000025224977,0.0007823754,0.00006818583,0.00014838549,0.0000011427937],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000638211,0.0020007568,0.8262382,0.0009871644,0.00018042162,0.00021287159,0.024840577,0.004606887,0.00017741192,0.071062535,0.0008798417,0.06817512],"study_design_scores_gemma":[0.0038227416,0.00024390891,0.88855475,0.00013793344,0.0000067020765,0.000007572256,0.0067845806,0.0029513752,0.0019229542,0.0070734983,0.08793568,0.0005583121],"about_ca_topic_score_codex":0.00013551752,"about_ca_topic_score_gemma":0.00057711377,"teacher_disagreement_score":0.08705584,"about_ca_system_score_codex":0.0033860027,"about_ca_system_score_gemma":0.0012870273,"threshold_uncertainty_score":0.88542795},"labels":[],"label_agreement":null},{"id":"W2768211191","doi":"","title":"The residential property paradox","year":2017,"lang":"en","type":"article","venue":"Equity Jurnal Akuntansi","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Residential property; Real estate; Economics; Quarter (Canadian coin); House price; Index (typography); Residential real estate; Price index; Estate; Public economics; Labour economics; Agricultural economics; Monetary economics; Finance; Macroeconomics; Geography","score_opus":0.06555451967684299,"score_gpt":0.27553238750748554,"score_spread":0.20997786783064254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768211191","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20899124,0.00036987927,0.00036421895,0.0060310243,0.0025818723,0.0001769273,0.000028044968,0.000044999488,0.78141177],"genre_scores_gemma":[0.9898647,0.0007806313,0.00012901647,0.0001984695,0.0006710927,0.000009389096,0.000001952408,0.000025564672,0.008319158],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986448,0.000015642201,0.0005296455,0.00031435073,0.000048568185,0.0004469853],"domain_scores_gemma":[0.9983767,0.000047848906,0.0005379196,0.00089767075,0.00002673973,0.00011308175],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014422289,0.00014563883,0.000276864,0.000047964477,0.002150698,0.0014494642,0.00106534,0.00008836269,0.00023187653],"category_scores_gemma":[0.00033397393,0.00010374445,0.00015291946,0.000032706015,0.00023396815,0.00051970885,0.0004421189,0.0002501498,0.0012941385],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045134753,0.0001567664,0.33024284,0.000057800993,0.00028394404,0.0000868221,0.00090089574,0.00005171922,0.00012402734,0.4150392,0.059149574,0.19345507],"study_design_scores_gemma":[0.0008209635,0.000077495315,0.14434011,0.00002526712,0.000012752795,0.000035492416,0.000058750175,0.0018079492,0.000150948,0.15377373,0.6984086,0.00048795823],"about_ca_topic_score_codex":0.00057877606,"about_ca_topic_score_gemma":0.00066381745,"teacher_disagreement_score":0.7808735,"about_ca_system_score_codex":0.00012393044,"about_ca_system_score_gemma":0.000042770516,"threshold_uncertainty_score":0.9995871},"labels":[],"label_agreement":null},{"id":"W2769306855","doi":"10.3968/9846","title":"Inventory Digestion Cycle, Product Market Competition and Corporate Value: Evidence Form Panel Data of Listed Real Companies in China","year":2017,"lang":"en","type":"article","venue":"Canadian social science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Competition (biology); Business; Debt; Perpetual inventory; Real estate; Product (mathematics); Value (mathematics); Economics; Industrial organization; Finance; Marketing; Inventory theory; Inventory control","score_opus":0.1286570882141013,"score_gpt":0.267589271411548,"score_spread":0.13893218319744668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769306855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88388145,0.00007485011,0.000009139946,0.0005918236,0.00031013662,0.0001424604,0.00015776003,0.00000721451,0.11482519],"genre_scores_gemma":[0.99926955,0.0004281914,0.000092331036,0.000031716325,0.00008320536,0.0000029088185,0.000016219245,0.0000070643896,0.0000688479],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989065,0.000016109416,0.00030991837,0.00042366574,0.000042464257,0.00030136283],"domain_scores_gemma":[0.99878,0.000019123087,0.0005206301,0.00049349933,0.000030885658,0.0001558254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019936345,0.000087018,0.00024399499,0.00022336803,0.0006436733,0.00024531726,0.00077661686,0.000049055616,0.000028685688],"category_scores_gemma":[0.0005132435,0.000113367605,0.00001707459,0.00018171035,0.0009189727,0.0013640657,0.00016714922,0.000092653456,0.0000069466737],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013797413,0.000012868944,0.93480074,0.00003888578,0.000003426321,0.0000030384326,0.0008175765,0.0000051541574,0.000027517346,0.059286594,0.00024041465,0.0047499565],"study_design_scores_gemma":[0.00013007941,0.000012310889,0.9817421,0.000045393717,0.0000022738548,0.0000011862634,0.00007488908,0.010360167,0.000006004285,0.0064534573,0.0010325238,0.0001396035],"about_ca_topic_score_codex":0.103548884,"about_ca_topic_score_gemma":0.08752876,"teacher_disagreement_score":0.115388095,"about_ca_system_score_codex":0.00037776647,"about_ca_system_score_gemma":0.0002483403,"threshold_uncertainty_score":0.9291215},"labels":[],"label_agreement":null},{"id":"W2769698321","doi":"10.1111/jofi.12992","title":"Financial Fragility with SAM?","year":2020,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; HEC Montréal","funders":"","keywords":"Financial fragility; Payment; Financial intermediary; Indexation; Business; Monetary economics; Fragility; Financial crisis; Intermediary; Foreclosure; Economics; Financial system; Finance; Monetary policy; Macroeconomics","score_opus":0.027615413567601048,"score_gpt":0.18414716982613105,"score_spread":0.15653175625853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769698321","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96470493,0.0010131537,0.00906638,0.006660175,0.00028641627,0.00007406034,0.000016811602,0.000009680525,0.018168418],"genre_scores_gemma":[0.9963279,0.0008715178,0.0010745362,0.0012783101,0.0003547273,6.5341396e-7,3.24128e-7,0.000013442995,0.000078603],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99911404,0.00001782768,0.0005408383,0.00011326999,0.000032253665,0.00018180351],"domain_scores_gemma":[0.99898475,0.00006105265,0.00068432797,0.00017741734,0.00004306218,0.000049380382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076056074,0.00010363481,0.00034799147,0.0000368902,0.000095116775,0.000029430552,0.00038042656,0.000047487847,0.00010013343],"category_scores_gemma":[0.00019604778,0.000077813995,0.00008522876,0.0001755829,0.00008476521,0.00022071286,0.000034418834,0.00028363607,0.00012964616],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008385176,0.00072043476,0.36728624,0.000335096,0.00043948842,0.00025316636,0.023330033,0.026733996,0.00027923787,0.35365692,0.120514974,0.09806525],"study_design_scores_gemma":[0.0029411556,0.0015244193,0.17120127,0.00009391294,0.000046596073,0.00018056468,0.00017089996,0.005119038,0.00051214657,0.062414404,0.7550651,0.0007304863],"about_ca_topic_score_codex":0.000019170111,"about_ca_topic_score_gemma":0.000009636663,"teacher_disagreement_score":0.63455015,"about_ca_system_score_codex":0.00004100126,"about_ca_system_score_gemma":0.000060257684,"threshold_uncertainty_score":0.31731626},"labels":[],"label_agreement":null},{"id":"W2774354014","doi":"","title":"Distinguishing between good and bad subprime auto loans borrowers: the role of demographic, region and loan characteristics","year":2017,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Default; Loan; Unemployment; Business; Payment; Non-conforming loan; Mortgage underwriting; Non-performing loan; Loan-to-value ratio; Value (mathematics); Financial system; Monetary economics; Economics; Finance; Mortgage insurance; Economic growth","score_opus":0.02129360680344913,"score_gpt":0.21657947331512806,"score_spread":0.19528586651167892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2774354014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90401655,0.081129566,0.000074900316,0.0010593646,0.00014856986,0.00028920418,0.00018909437,0.000006794486,0.013085948],"genre_scores_gemma":[0.5895803,0.40996942,0.0002905043,0.000058683818,0.00005168383,0.0000045038446,0.0000056697936,0.000014218392,0.000025027044],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984893,0.000015235154,0.0008810726,0.00038476984,0.000012006289,0.0002175926],"domain_scores_gemma":[0.9975225,0.00012148634,0.0016620487,0.00060885167,0.000030404446,0.000054749857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010118306,0.00019231663,0.00090780976,0.00006533618,0.0002759623,0.00013623737,0.00031866043,0.000104127386,0.000004121521],"category_scores_gemma":[0.00026650043,0.00019207834,0.00010265635,0.000037322192,0.00039563724,0.0002834974,0.0002007328,0.00014718209,0.0000023195612],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011773194,0.000023117414,0.64953804,0.0012794696,0.000062233725,9.968043e-7,0.00017740535,6.946742e-7,0.0000020115829,0.20942965,0.000039928524,0.1394347],"study_design_scores_gemma":[0.0005185638,0.00011003486,0.6822847,0.0021003832,0.00008482594,0.000020351245,0.000037562662,0.003476097,0.00002659893,0.04502078,0.2657787,0.000541432],"about_ca_topic_score_codex":0.00017445398,"about_ca_topic_score_gemma":0.000032198328,"teacher_disagreement_score":0.32883984,"about_ca_system_score_codex":0.000020605357,"about_ca_system_score_gemma":0.000020716134,"threshold_uncertainty_score":0.78327274},"labels":[],"label_agreement":null},{"id":"W2775189472","doi":"10.1515/jbvela-2017-0007","title":"<sub>Valuing Historical Claims of Loss of Use of Land with Sparse Data</sub>","year":2017,"lang":"en","type":"article","venue":"Journal of Business Valuation and Economic Loss Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Lease; Valuation (finance); Economics; Plaintiff; Damages; Asset (computer security); Land use; Database transaction; Actuarial science; Financial economics; Law; Finance; Political science","score_opus":0.11112732750964668,"score_gpt":0.25462159481332675,"score_spread":0.14349426730368006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2775189472","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99140227,0.00021115558,0.007350475,0.00035958886,0.00023666031,0.00007291749,0.0000886244,0.0000021541737,0.00027615475],"genre_scores_gemma":[0.9967984,0.00200085,0.0010188145,0.000011493724,0.000107618216,9.909489e-7,0.000021441543,0.000017253427,0.000023159291],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99779445,0.000027830136,0.0016814965,0.00027462209,0.00006705327,0.00015454744],"domain_scores_gemma":[0.9937142,0.00011495507,0.0050595812,0.0007541353,0.000272741,0.000084354375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017226943,0.00015663297,0.0012692931,0.00071164715,0.000101181075,0.00012232868,0.00041436256,0.00010036018,0.00009073927],"category_scores_gemma":[0.0002364629,0.00015305835,0.00021131616,0.0001887243,0.00017179085,0.0013993889,0.00011862875,0.00010116121,0.000004668778],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001638946,0.000102262806,0.95967764,0.000082461636,0.0011365116,0.000002892138,0.00013707904,0.034677092,0.0000813387,0.00046140593,0.00010809152,0.0033693335],"study_design_scores_gemma":[0.0015076434,0.000087575536,0.8848481,0.000069455884,0.00091391767,0.000017821898,0.000038998485,0.10943936,0.00025478305,0.0020786142,0.0004935617,0.00025015662],"about_ca_topic_score_codex":0.0016505446,"about_ca_topic_score_gemma":0.0004823845,"teacher_disagreement_score":0.074829526,"about_ca_system_score_codex":0.00020705299,"about_ca_system_score_gemma":0.00011623766,"threshold_uncertainty_score":0.62415385},"labels":[],"label_agreement":null},{"id":"W2776139588","doi":"10.3390/jrfm11010002","title":"FHA Loans in Foreclosure Proceedings: Distinguishing Sources of Interdependence in Competing Risks","year":2017,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Prepayment of loan; Mortgage underwriting; Foreclosure; Default; Economics; Loan; Unemployment; Actuarial science; Mortgage insurance; Econometrics; Monetary economics; Finance; Macroeconomics","score_opus":0.02576025128126598,"score_gpt":0.23436878452098475,"score_spread":0.20860853323971879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2776139588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9763169,0.00038666566,0.00094803027,0.00006915467,0.00031814945,0.00009160762,0.000008749179,0.0000024551364,0.021858238],"genre_scores_gemma":[0.99565333,0.0028575684,0.0013221666,0.000012824035,0.00012512205,0.0000017825556,2.436306e-7,0.000009730511,0.000017216726],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986919,0.000007730233,0.00088877993,0.00017437176,0.000038786628,0.0001984358],"domain_scores_gemma":[0.9981614,0.00003992238,0.0016104549,0.000117426374,0.00003140374,0.00003941303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019356223,0.00010939559,0.00046310227,0.00036769215,0.00012884851,0.00015096963,0.00034478496,0.00006325842,0.000007708166],"category_scores_gemma":[0.0006335295,0.00011947442,0.000078782985,0.00007624769,0.00006825798,0.00036239735,0.00017408817,0.00027355447,0.0000019187912],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007087333,0.000052642485,0.9427869,0.00010367845,0.000007956167,0.000024994788,0.0016446357,0.000103656595,6.2222574e-7,0.010991825,0.000019993873,0.04419226],"study_design_scores_gemma":[0.0010042579,0.00007533675,0.96589106,0.0004334183,0.0000102998465,0.0000063649395,0.0009375764,0.0011055843,0.0000092538485,0.02648142,0.0038946185,0.00015079459],"about_ca_topic_score_codex":0.0005056221,"about_ca_topic_score_gemma":0.0005440017,"teacher_disagreement_score":0.044041462,"about_ca_system_score_codex":0.000066153465,"about_ca_system_score_gemma":0.000008877721,"threshold_uncertainty_score":0.48720253},"labels":[],"label_agreement":null},{"id":"W2778822291","doi":"10.1007/s11146-017-9642-z","title":"What We Should Know About House Reconstruction Costs?","year":2017,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Mitacs","keywords":"Quantile; Econometrics; Skewness; Quantile regression; Set (abstract data type); Value (mathematics); Order (exchange); Statistics; Computer science; Mathematics; Economics; Finance","score_opus":0.03799094517089522,"score_gpt":0.2420124152527079,"score_spread":0.20402147008181268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2778822291","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9668192,0.0017721122,0.00007602869,0.0028624882,0.0027650832,0.00011170082,0.000025097721,0.000014533098,0.025553722],"genre_scores_gemma":[0.43541303,0.56370413,0.00025024667,0.0000699022,0.00025215358,0.0000014234823,6.6994915e-7,0.00003098449,0.0002774704],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99839437,0.00002241529,0.0009884278,0.00023084527,0.000020935719,0.000343008],"domain_scores_gemma":[0.99680394,0.000107731285,0.002334882,0.00059874,0.000050976967,0.00010372424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016302363,0.00021643536,0.0006111423,0.000143624,0.00060483656,0.0007590943,0.00060221343,0.00013852066,0.000032301086],"category_scores_gemma":[0.000070436436,0.0001989547,0.0001525675,0.000033175766,0.0003274828,0.0026434355,0.000120709024,0.00034572004,0.00009482901],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003135777,0.00004303702,0.024941804,0.00003123765,0.00010251144,0.0000093512335,0.001609772,0.00088942435,0.000006148139,0.010318996,0.000837446,0.9608967],"study_design_scores_gemma":[0.0055190185,0.00094698626,0.12291142,0.0009792877,0.00016620051,0.0017963379,0.0045872577,0.023707306,0.0003823136,0.093970686,0.7431442,0.0018889608],"about_ca_topic_score_codex":0.0005103491,"about_ca_topic_score_gemma":0.0005716815,"teacher_disagreement_score":0.95900774,"about_ca_system_score_codex":0.00019372297,"about_ca_system_score_gemma":0.00006270415,"threshold_uncertainty_score":0.81131375},"labels":[],"label_agreement":null},{"id":"W2779759396","doi":"10.1111/coep.12273","title":"USING ENGEL CURVES TO ESTIMATE CONSUMER PRICE INDEX BIAS FOR THE ELDERLY","year":2017,"lang":"en","type":"article","venue":"Contemporary Economic Policy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"Colgate University","keywords":"Economics; Engel curve; Inflation (cosmology); Price index; Index (typography); Consumer price index (South Africa); Relative price; Demographic economics; Econometrics; Monetary economics; Monetary policy","score_opus":0.18557649584669555,"score_gpt":0.3446691831314292,"score_spread":0.15909268728473364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2779759396","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42175448,0.008900938,0.01735272,0.03114355,0.0048204656,0.0036980396,0.0015758388,0.00023174452,0.5105222],"genre_scores_gemma":[0.99362695,0.0007099207,0.00074321486,0.0018226666,0.0008525705,0.00010037139,0.000015666325,0.000091255846,0.0020374],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977081,0.000019831008,0.0009816859,0.0006575771,0.000020955033,0.00061187655],"domain_scores_gemma":[0.99685454,0.00032024432,0.0010823944,0.0014620699,0.00003123368,0.00024950682],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014059956,0.00033651,0.0007271992,0.00029571523,0.0009045004,0.00064064167,0.0012078697,0.00014742957,0.00013109412],"category_scores_gemma":[0.0008166653,0.0003511435,0.0002705938,0.000055411743,0.00020746801,0.00084579934,0.00029205508,0.00017138624,0.00077674363],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005420555,0.00021027835,0.45175976,0.0006232296,0.0011387223,0.000012143982,0.0013793183,0.003327722,0.0000435119,0.32825065,0.16905756,0.04365505],"study_design_scores_gemma":[0.0018958391,0.00014085248,0.025868667,0.00014505434,0.00002281763,0.000014601354,0.000056199544,0.05378007,0.00006029177,0.023960471,0.89306617,0.000988944],"about_ca_topic_score_codex":0.0051945797,"about_ca_topic_score_gemma":0.00028267238,"teacher_disagreement_score":0.7240086,"about_ca_system_score_codex":0.00038373834,"about_ca_system_score_gemma":0.00043118183,"threshold_uncertainty_score":0.9998941},"labels":[],"label_agreement":null},{"id":"W2782203938","doi":"10.1108/ijhma-01-2017-0003","title":"Transitional distribution dynamics of housing affordability in Australia, Canada and USA","year":2018,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Originality; Financial crisis; Economics; Political science; Macroeconomics; Mathematics","score_opus":0.015027202309520055,"score_gpt":0.2323916705382751,"score_spread":0.21736446822875505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782203938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99030864,0.00006621533,0.007990016,0.00042993124,0.00028953608,0.000024762707,0.00022459003,0.0000015931831,0.0006647128],"genre_scores_gemma":[0.99894905,0.0002030353,0.0006356953,0.000035762267,0.00011013146,2.8475682e-7,0.000033328615,0.000006330939,0.000026390164],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998762,0.000025575593,0.00081575377,0.00017166593,0.00008779537,0.00013718256],"domain_scores_gemma":[0.9990094,0.00007892992,0.00058948307,0.00007905119,0.00017756941,0.000065624175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008994854,0.000103241604,0.00040487808,0.00046538303,0.00004931649,0.00007331305,0.0001321434,0.000055113924,0.00017214377],"category_scores_gemma":[0.000090255126,0.00011296306,0.00011713675,0.00029511738,0.00014182791,0.00023595657,0.0000327008,0.000110223424,4.650869e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015909564,0.00006209762,0.989235,0.000013688891,0.00047807497,0.000014092847,0.00012072702,0.00042869453,0.000011851844,0.0022890426,0.000039090977,0.00714853],"study_design_scores_gemma":[0.00072551146,0.00004975269,0.9362625,0.00005575329,0.00012627775,0.000027426635,0.000117216005,0.053082623,0.00004150759,0.008454936,0.00084428047,0.00021222199],"about_ca_topic_score_codex":0.08493109,"about_ca_topic_score_gemma":0.3917474,"teacher_disagreement_score":0.3068163,"about_ca_system_score_codex":0.0003424387,"about_ca_system_score_gemma":0.00007442516,"threshold_uncertainty_score":0.9211624},"labels":[],"label_agreement":null},{"id":"W2783676715","doi":"10.1016/j.jimonfin.2018.01.001","title":"International money supply and real estate risk premium: The case of the London office market","year":2018,"lang":"en","type":"article","venue":"Journal of International Money and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Economics; Real estate; Monetary policy; Vector autoregression; Risk premium; Monetary economics; Financial crisis; Exchange rate; Index (typography); Money market; Money supply; Autoregressive model; Financial economics; Macroeconomics; Econometrics; Finance","score_opus":0.010210834400478012,"score_gpt":0.2115091013838589,"score_spread":0.20129826698338088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783676715","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9424945,0.0002715198,0.0003142562,0.0017390276,0.0015345226,0.000073651594,0.00017151407,0.0000028745003,0.05339815],"genre_scores_gemma":[0.9637027,0.034295447,0.0008579573,0.000097674456,0.00038650437,0.000001966349,0.0000013144485,0.00001144359,0.0006449963],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99891406,0.000031084608,0.00069863437,0.00017326693,0.000055534147,0.00012742849],"domain_scores_gemma":[0.99824053,0.00016183,0.0012257489,0.00016871367,0.00016776974,0.000035403336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010021095,0.00011582147,0.00023095639,0.00011600022,0.00014852943,0.00008801389,0.00038416014,0.00006411481,0.00010264876],"category_scores_gemma":[0.00028461526,0.00008585441,0.00010001997,0.00008042307,0.00025831262,0.00033647366,0.00014060628,0.00023013906,0.000005742678],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019939733,0.00032213953,0.768661,0.000041976473,0.00070339034,0.00017791998,0.0046276823,0.00052827067,0.00013446053,0.045276213,0.020673541,0.1568594],"study_design_scores_gemma":[0.002307622,0.0003089931,0.5881119,0.00014934175,0.00005123715,0.0026637507,0.00038316732,0.04237063,0.00035806114,0.01611799,0.3468073,0.000370016],"about_ca_topic_score_codex":0.00069681834,"about_ca_topic_score_gemma":0.00018558587,"teacher_disagreement_score":0.32613376,"about_ca_system_score_codex":0.000059310278,"about_ca_system_score_gemma":0.00002705842,"threshold_uncertainty_score":0.35010412},"labels":[],"label_agreement":null},{"id":"W2783855052","doi":"10.1111/ecca.12272","title":"The Rise and Fall of Consumption in the 2000s: A Tangled Tale","year":2018,"lang":"en","type":"article","venue":"Economica","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Economics; Consumption (sociology); Unemployment; Recession; Explanatory power; Boom; Debt; Inequality; Monetary economics; Macroeconomics","score_opus":0.02465654618806107,"score_gpt":0.21266967111282298,"score_spread":0.1880131249247619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783855052","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9399117,0.00093569985,0.000023325272,0.0005839662,0.00025724928,0.00016512835,0.000026374482,0.000008399832,0.05808815],"genre_scores_gemma":[0.9981908,0.0011964467,0.000109695415,0.00010610301,0.00012501821,0.000016270407,0.0000015790687,0.0000121889025,0.00024188642],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99900633,0.000025215528,0.0005232902,0.00022810789,0.00000887766,0.00020818644],"domain_scores_gemma":[0.9991839,0.00018056345,0.00026647336,0.00033092528,0.000008397254,0.000029762525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011814062,0.000094491654,0.00022059663,0.000081448095,0.0001395734,0.00009540557,0.00026745518,0.00006458008,0.00015866305],"category_scores_gemma":[0.00006617396,0.00007817343,0.000052444917,0.000051440034,0.00032985595,0.00013480122,0.00005167815,0.000089606154,0.0004983512],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010529972,0.00006983481,0.877337,0.000021306181,0.00004437403,9.5286504e-7,0.002281148,0.000013058846,0.000015884121,0.108944364,0.0037702988,0.0073964745],"study_design_scores_gemma":[0.0013016846,0.00013687024,0.53712904,0.000014804441,0.0000073041597,0.000010776207,0.00030933617,0.008917769,0.00006244112,0.042937074,0.40884265,0.0003302656],"about_ca_topic_score_codex":0.0001964966,"about_ca_topic_score_gemma":0.0009079199,"teacher_disagreement_score":0.40507236,"about_ca_system_score_codex":0.000051813953,"about_ca_system_score_gemma":0.000011205024,"threshold_uncertainty_score":0.64054626},"labels":[],"label_agreement":null},{"id":"W2784418308","doi":"10.22004/ag.econ.274722","title":"Inequality, Frictional Assignment and Home-ownership","year":2018,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Renting; Stock (firearms); Economics; Inequality; Point (geometry); Labour economics; Business; Demographic economics; Geography","score_opus":0.06646499669806118,"score_gpt":0.2247726990298103,"score_spread":0.15830770233174912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784418308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92633826,0.00006707851,0.002129647,0.0011794645,0.0001931522,0.00009570772,0.00008080571,0.000017747318,0.06989815],"genre_scores_gemma":[0.9961446,0.00038749047,0.0010797442,0.00007321715,0.00011048227,2.5968473e-7,0.000012794024,0.000011670645,0.0021797263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990255,0.00003532809,0.00022500672,0.0003665815,0.000053211625,0.00029432602],"domain_scores_gemma":[0.9992962,0.00009222075,0.00016199579,0.0002483942,0.000055012693,0.00014617837],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00091270305,0.00011447981,0.0003064586,0.00027730418,0.00025366113,0.000037121576,0.00024268629,0.00010851025,0.0030543802],"category_scores_gemma":[0.000028725022,0.00016244227,0.00007999235,0.00017190566,0.0002949306,0.00038037592,0.00019379197,0.00012870278,0.00084748],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024543313,0.00029041836,0.73319244,0.00014301341,0.00025083194,0.000028818611,0.006908318,0.000021218655,0.00023000455,0.22744896,0.008862189,0.022378335],"study_design_scores_gemma":[0.002802607,0.0006697575,0.81174165,0.000041872845,0.00002708341,0.00001698295,0.0036184432,0.007471905,0.00019970995,0.02127723,0.15128027,0.00085247954],"about_ca_topic_score_codex":0.001197963,"about_ca_topic_score_gemma":0.0005868814,"teacher_disagreement_score":0.20617172,"about_ca_system_score_codex":0.000108617794,"about_ca_system_score_gemma":0.000031960135,"threshold_uncertainty_score":0.9999305},"labels":[],"label_agreement":null},{"id":"W2784469292","doi":"10.1080/10835547.2017.12091898","title":"Non-spatial Contagion in Real Estate Markets: The Case of Brookland Greens","year":2017,"lang":"en","type":"article","venue":"Journal of Sustainable Real Estate","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Greenfield Research (Canada); Kimberly-Clark (Canada)","funders":"","keywords":"Real estate; Metropolitan area; Hedonic pricing; Contagion effect; Residential real estate; Business; Natural resource economics; Economics; Econometrics; Geography; Finance","score_opus":0.01765179824451828,"score_gpt":0.24250600007853104,"score_spread":0.22485420183401275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784469292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83192843,0.00002474533,0.000121895646,0.00044399715,0.00027606395,0.00019182998,0.000021282729,0.000004030958,0.16698773],"genre_scores_gemma":[0.97300285,0.025941398,0.00010983133,0.000014932169,0.00015246712,0.0000037980312,0.0000017888162,0.000030625568,0.00074230577],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979147,0.000041457595,0.001281229,0.00021152663,0.000045848752,0.0005052857],"domain_scores_gemma":[0.9966885,0.00014182761,0.0023480146,0.0005022087,0.00018904022,0.00013044245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028834702,0.00018860998,0.00068265677,0.00034187813,0.0003223973,0.0002244424,0.00047855393,0.0001086878,0.00004152152],"category_scores_gemma":[0.0002424216,0.00016542998,0.00018756994,0.000093960734,0.00019838216,0.0007537633,0.00014522219,0.00034333457,0.000008637569],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035310506,0.00050045067,0.5803011,0.0007255821,0.00037542274,0.035449184,0.013318796,0.0022689877,0.00003388986,0.010765557,0.0015569907,0.35117298],"study_design_scores_gemma":[0.011507761,0.0012860183,0.8488459,0.00025599895,0.00011363656,0.003547923,0.022383198,0.027594557,0.000119393015,0.029865133,0.053306945,0.0011735399],"about_ca_topic_score_codex":0.09068628,"about_ca_topic_score_gemma":0.0076747714,"teacher_disagreement_score":0.34999943,"about_ca_system_score_codex":0.0003648066,"about_ca_system_score_gemma":0.00017863614,"threshold_uncertainty_score":0.9153689},"labels":[],"label_agreement":null},{"id":"W2784749259","doi":"10.1007/978-3-319-66387-6_4","title":"Seeking Greener Pastures: Exploring the Impact for Investors of ESG Integration in the Infrastructure Asset Class","year":2018,"lang":"en","type":"book-chapter","venue":"Palgrave studies in sustainable business in association with Future Earth","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Scrutiny; Business; Equity (law); Finance; Investment (military); Asset (computer security)","score_opus":0.03794563057445717,"score_gpt":0.25384131963699536,"score_spread":0.2158956890625382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784749259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5679879,0.01491171,0.004149486,0.009239417,0.009745026,0.012105871,0.0007334997,0.00014942135,0.38097763],"genre_scores_gemma":[0.9884209,0.004371257,0.00027088294,0.00019158225,0.0013550102,0.0003217301,0.000102485246,0.00009438636,0.00487174],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975932,0.00007101161,0.0010714347,0.00050759385,0.00013119742,0.0006255172],"domain_scores_gemma":[0.9967861,0.00058656867,0.0016294345,0.00042769167,0.000545833,0.000024382734],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0028147593,0.0004741958,0.0010466422,0.00076846767,0.00023337718,0.00012525269,0.00040120006,0.00040097412,0.000024050934],"category_scores_gemma":[0.0010203774,0.000323558,0.00015859956,0.00062274217,0.00018585929,0.00022614158,0.0001262251,0.00068935496,0.0000028099928],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040277423,0.000051719133,0.55532837,0.0008969515,0.00061379175,0.000037032212,0.048941825,0.0067312107,3.654639e-7,0.37755725,0.0045258864,0.004912819],"study_design_scores_gemma":[0.002475111,0.00024778582,0.5102889,0.00095163984,0.00007638967,0.0000067926844,0.054137364,0.0011889391,0.000003048996,0.34302068,0.08644176,0.0011615959],"about_ca_topic_score_codex":0.00034450996,"about_ca_topic_score_gemma":0.0038718863,"teacher_disagreement_score":0.42043298,"about_ca_system_score_codex":0.0015124705,"about_ca_system_score_gemma":0.00014908038,"threshold_uncertainty_score":0.9999216},"labels":[],"label_agreement":null},{"id":"W2785659847","doi":"10.2139/ssrn.3157479","title":"How Much Does Anticipation Matter? Evidence from Anticipated Regulation and Land Prices","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Anticipation (artificial intelligence); Economics; Monetary economics; Financial economics; Econometrics; Computer science","score_opus":0.023222414925330837,"score_gpt":0.22768003238188403,"score_spread":0.2044576174565532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785659847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9839873,0.0012888273,0.011090235,0.001986826,0.00038893716,0.00008197893,0.000008283536,0.000020803627,0.0011468495],"genre_scores_gemma":[0.9934553,0.0050090146,0.00031860723,0.000060453247,0.00057619216,0.000002277989,0.000007008298,0.000021215787,0.0005499164],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984337,0.000023534763,0.00035332752,0.00028769704,0.00003354742,0.0008681581],"domain_scores_gemma":[0.9992499,0.00005809586,0.0004198686,0.00016304491,0.000048492315,0.000060631704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001178449,0.00013039171,0.00024416362,0.00016169966,0.00023755155,0.00038004576,0.00014549623,0.00009105077,0.00013894435],"category_scores_gemma":[0.00010190665,0.00012027352,0.00004569771,0.00011169587,0.00007335188,0.00083018106,0.000033868797,0.0003505708,0.00013240056],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008020236,0.000026459824,0.97385645,0.000010110819,0.00010832252,6.8055635e-7,0.0006063326,0.000004820281,0.00031527237,0.017631574,0.000090942674,0.00726884],"study_design_scores_gemma":[0.00064384966,0.00021774831,0.37148368,0.00006794057,0.000029901503,0.00003242827,0.0003743922,0.007000353,0.0004078783,0.6178656,0.0015216464,0.0003545459],"about_ca_topic_score_codex":0.00049196754,"about_ca_topic_score_gemma":0.0016554912,"teacher_disagreement_score":0.60237277,"about_ca_system_score_codex":0.00027766495,"about_ca_system_score_gemma":0.000097668984,"threshold_uncertainty_score":0.4904612},"labels":[],"label_agreement":null},{"id":"W2789934946","doi":"10.5539/ijef.v10n4p179","title":"Diagnosing Housing Bubbles across Rich Countries","year":2018,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Economics; Econometrics; Explosive material; Bubble; Economic bubble; House price; Macroeconomics; Computer science; Geography","score_opus":0.022956039703017576,"score_gpt":0.2469993453165496,"score_spread":0.22404330561353203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789934946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9855291,0.0011385026,0.00069802225,0.0014293344,0.0030982757,0.00004009277,0.00008105886,0.000005931192,0.007979681],"genre_scores_gemma":[0.9748618,0.021349467,0.0019105572,0.00048447342,0.0012715117,0.000001340931,0.0000021626647,0.000022627748,0.00009605476],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986151,0.0000063007433,0.00088850094,0.000226322,0.000023302806,0.00024048953],"domain_scores_gemma":[0.9985431,0.000083146784,0.0010138778,0.00012956896,0.00018203912,0.000048273523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007388097,0.00014057856,0.0003808641,0.00016425159,0.00014850378,0.00035313834,0.0003704997,0.00008480749,0.000056453777],"category_scores_gemma":[0.00009946235,0.00016639508,0.00009675989,0.000047842448,0.00021739473,0.00067036843,0.000108595865,0.00012693858,0.0000790407],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005050789,0.00021635913,0.22902425,0.000025164714,0.00053314,0.00006500679,0.004553058,0.0034704506,0.000013728674,0.67926973,0.0028879663,0.07943608],"study_design_scores_gemma":[0.0018746533,0.0002665467,0.020271545,0.00012117855,0.000011663215,0.00022501056,0.00027064403,0.015766036,0.00053858163,0.12715612,0.8329013,0.00059673894],"about_ca_topic_score_codex":0.000052193758,"about_ca_topic_score_gemma":0.00008690945,"teacher_disagreement_score":0.83001333,"about_ca_system_score_codex":0.00015627046,"about_ca_system_score_gemma":0.00004312045,"threshold_uncertainty_score":0.67853945},"labels":[],"label_agreement":null},{"id":"W2790397734","doi":"10.20381/ruor-6261","title":"Introducing Real Estate Assets and the Risk of Default in a Stock-flow Consistent Framework","year":2012,"lang":"en","type":"dissertation","venue":"uO Research (University of Ottawa)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Stock (firearms); Business; Default risk; Financial economics; Economics; Actuarial science; Credit risk; Finance; Engineering","score_opus":0.036566137156806205,"score_gpt":0.26677970779662225,"score_spread":0.23021357063981604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790397734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8627238,0.00020436272,0.000107445834,0.00021261009,0.00022441773,0.0003697012,0.0001590536,0.0000076267943,0.13599096],"genre_scores_gemma":[0.97794354,0.017295057,0.002571131,0.000002795426,0.00006362411,0.000001990645,0.000108878296,0.00002960432,0.001983392],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99846834,0.00020558099,0.00041785114,0.00039860446,0.00010368815,0.00040594253],"domain_scores_gemma":[0.99785656,0.000814931,0.00064281665,0.00045788087,0.00013092987,0.00009690389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004689225,0.00015230484,0.0006980639,0.00076307484,0.00023568665,0.000035114346,0.0004224315,0.00031641131,0.00020985409],"category_scores_gemma":[0.00073786976,0.00017570175,0.00015606823,0.00036002684,0.00041785778,0.00018870783,0.00013339483,0.00090578577,0.000035488283],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004387336,0.00021692013,0.84524363,0.0007148701,0.00037319987,0.000014738768,0.02064522,0.0003740728,0.00001075201,0.078881666,0.0010068285,0.052079342],"study_design_scores_gemma":[0.0026276635,0.0001337966,0.9410371,0.00026529256,0.00006887453,0.000002187198,0.010484255,0.012613188,0.000014268145,0.019299624,0.013010596,0.00044312867],"about_ca_topic_score_codex":0.008790891,"about_ca_topic_score_gemma":0.016101858,"teacher_disagreement_score":0.13400757,"about_ca_system_score_codex":0.00017483179,"about_ca_system_score_gemma":0.000096464624,"threshold_uncertainty_score":0.99780965},"labels":[],"label_agreement":null},{"id":"W2790558212","doi":"10.5430/rwe.v9n1p9","title":"Empirical Testing of Influencing Factors of China’s Housing Prices - Evidence From Provincial Panel Data","year":2018,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dependency ratio; Real estate; Panel data; China; Demographic economics; Economics; Unemployment; Population; Unemployment rate; Agricultural economics; Labour economics; Economic growth; Geography; Econometrics; Demography; Finance","score_opus":0.4433388000948097,"score_gpt":0.3915927323974811,"score_spread":0.05174606769732859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790558212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9516184,0.00032182908,0.00013603749,0.0002275903,0.0001738014,0.00028840703,0.00012798,0.000020359876,0.047085594],"genre_scores_gemma":[0.99549043,0.00006804398,0.00397747,0.000020763056,0.00034230185,0.000008232259,0.000019558374,0.000033256358,0.00003994129],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970744,0.00008217167,0.0013396454,0.00079088507,0.00007657217,0.00063632114],"domain_scores_gemma":[0.9967028,0.0013766139,0.00061622827,0.0010664724,0.00010850155,0.00012938751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043260925,0.00018448927,0.0006818171,0.0010471261,0.00014877811,0.00012316658,0.0012408692,0.00010579541,0.00030091306],"category_scores_gemma":[0.0019803818,0.00021645523,0.0000621429,0.0009989297,0.00047173814,0.0012696806,0.0009210736,0.00043050933,0.00008443781],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044278248,0.00007474627,0.99366724,0.00010461871,0.000027114498,0.000002209989,0.0011254248,0.00006893647,0.0000819419,0.00053973566,0.00019487157,0.004068892],"study_design_scores_gemma":[0.0005348911,0.00018927659,0.9389411,0.00058197737,0.000007096741,7.8541336e-7,0.0003948679,0.027607078,0.0018235835,0.022477102,0.0069755143,0.00046667812],"about_ca_topic_score_codex":0.017825376,"about_ca_topic_score_gemma":0.005450266,"teacher_disagreement_score":0.054726083,"about_ca_system_score_codex":0.00033841727,"about_ca_system_score_gemma":0.0003137794,"threshold_uncertainty_score":0.988715},"labels":[],"label_agreement":null},{"id":"W2790660528","doi":"10.1080/09640568.2017.1405799","title":"A spatial hedonic analysis of the housing market around a large, failing desert lake: the case of the Salton Sea in California","year":2018,"lang":"en","type":"article","venue":"Journal of Environmental Planning and Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"University of California, Irvine; University of California, San Diego","keywords":"Environmental science; Shore; Surface runoff; Residence; Particulates; Water quality; Hydrology (agriculture); Air quality index; Geography; Physical geography; Oceanography; Meteorology; Ecology","score_opus":0.012506220305232206,"score_gpt":0.20720758650588614,"score_spread":0.19470136620065392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790660528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99564385,0.00029559797,0.00060631265,0.0001664893,0.00018993569,0.00011724802,0.000076994766,0.000001227538,0.0029023518],"genre_scores_gemma":[0.9994003,0.00025722058,0.00011324995,0.00010183264,0.000050050585,0.000001209627,0.0000011819789,0.000009181297,0.00006577779],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989953,0.000044850876,0.00061529514,0.00013037388,0.000049004128,0.0001651741],"domain_scores_gemma":[0.99895847,0.000053607648,0.00073096214,0.00022575347,0.000003855163,0.000027380494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012439037,0.000098654025,0.00030063762,0.00018749258,0.00015560245,0.000034108874,0.00021186582,0.000037652346,0.00007376077],"category_scores_gemma":[0.00001891136,0.00006412178,0.000168272,0.00020510306,0.00013650513,0.00008045486,0.00020030975,0.00013885912,0.0000014429625],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012207145,0.00012441319,0.9895889,0.000043165313,0.00064569456,0.000042429398,0.001113797,0.005220526,0.000019777981,0.00021706609,0.00017879208,0.0026833697],"study_design_scores_gemma":[0.0009433133,0.000083831284,0.91684383,0.00013101602,0.0003972299,0.00006497305,0.002920803,0.06968071,0.000055352415,0.0006131023,0.008101917,0.00016391001],"about_ca_topic_score_codex":0.00017711562,"about_ca_topic_score_gemma":0.0012019903,"teacher_disagreement_score":0.07274506,"about_ca_system_score_codex":0.0000916579,"about_ca_system_score_gemma":0.00000626739,"threshold_uncertainty_score":0.26148102},"labels":[],"label_agreement":null},{"id":"W2792118621","doi":"10.1080/09599916.2018.1436582","title":"Time to completion in the Lagos commercial real estate market: an examination of institutional effects","year":2018,"lang":"en","type":"article","venue":"Journal of Property Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Commonwealth Scholarship Commission; World Bank Group","keywords":"Real estate; Database transaction; Business; Real estate investment trust; Transaction cost; Investment (military); Finance; Property management; Property market; Computer science; Database","score_opus":0.11921704034802817,"score_gpt":0.32398304760805613,"score_spread":0.20476600726002797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792118621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81877744,0.000009171998,0.00010674562,0.00093191257,0.00011283094,0.00021486645,0.00000702125,0.0000020615,0.17983793],"genre_scores_gemma":[0.99858046,0.00014445421,0.00042989562,0.000059246522,0.00033857004,0.0000054083403,0.0000030934823,0.0000093867,0.0004295052],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9986351,0.00034366676,0.0005471343,0.00012934454,0.00013693256,0.0002077962],"domain_scores_gemma":[0.9990784,0.00018556883,0.00020236564,0.00016637603,0.0002989458,0.00006832529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010967074,0.000065715874,0.00025581117,0.00051104807,0.00014156276,0.000067922396,0.0003785438,0.00005696358,0.0003187347],"category_scores_gemma":[0.0005225639,0.000044644297,0.000046140496,0.00034093737,0.00021656691,0.0003579091,0.000056211327,0.00027075678,0.0002478578],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021869391,0.0015599496,0.024314335,0.0002290081,0.00008144511,0.0000571981,0.014355916,0.000308909,0.0023667708,0.008091763,0.021657607,0.92479014],"study_design_scores_gemma":[0.0015569187,0.0030205362,0.91085434,0.00014097097,0.0000050631993,0.00004790039,0.00029238404,0.01931956,0.00030512185,0.0021969145,0.06204722,0.0002130915],"about_ca_topic_score_codex":0.00031987968,"about_ca_topic_score_gemma":0.00018062304,"teacher_disagreement_score":0.92457706,"about_ca_system_score_codex":0.00020864999,"about_ca_system_score_gemma":0.000090175796,"threshold_uncertainty_score":0.3800991},"labels":[],"label_agreement":null},{"id":"W2792217644","doi":"","title":"Forecasting Canadian Housing Prices: Assessing the Forecasting Performance of ARIMA and GARCH Models.","year":2013,"lang":"en","type":"article","venue":"uO Research (University of Ottawa)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Autoregressive integrated moving average; Autoregressive conditional heteroskedasticity; Econometrics; Economics; Time series; Computer science; Volatility (finance); Machine learning","score_opus":0.15853609696797344,"score_gpt":0.2477931215699652,"score_spread":0.08925702460199175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792217644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8138045,0.000059820544,0.0005176871,0.0003566641,0.000039682174,0.00018719467,0.000011184376,0.000007192255,0.18501608],"genre_scores_gemma":[0.99548805,0.00018067869,0.003971296,0.000012119744,0.0000291974,6.9326444e-7,0.0000036485922,0.000016339709,0.00029797616],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988212,0.00003689511,0.00026181902,0.0002752099,0.00007932808,0.00052555784],"domain_scores_gemma":[0.9989194,0.00025826134,0.00024000891,0.00025626936,0.00016708646,0.00015895478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002101145,0.00009740341,0.00027018078,0.0005868904,0.00076356315,0.00012554313,0.00041173026,0.0000894666,0.00015680652],"category_scores_gemma":[0.00013329914,0.00011211804,0.00005907316,0.00039489075,0.00037601247,0.0010204604,0.00020183907,0.00030959764,0.00001802334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000060385596,0.000047422094,0.8799015,0.00043280394,0.00008299891,0.000010202322,0.0043235356,0.0031210799,0.000047719437,0.033437625,0.000609498,0.07797956],"study_design_scores_gemma":[0.00027003544,0.00006389256,0.044386927,0.00007528288,0.000004320161,0.000005773755,0.0027498833,0.9442292,0.00002005069,0.005241653,0.002799109,0.00015385699],"about_ca_topic_score_codex":0.055106424,"about_ca_topic_score_gemma":0.021102445,"teacher_disagreement_score":0.9411081,"about_ca_system_score_codex":0.00019399877,"about_ca_system_score_gemma":0.00014686845,"threshold_uncertainty_score":0.9967599},"labels":[],"label_agreement":null},{"id":"W2795716466","doi":"10.1155/2018/1767149","title":"The Impact of Urban Transit Systems on Property Values: A Model and Some Evidences from the City of Naples","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Euros; Real estate; Property value; Transit (satellite); Transport engineering; Land Values; Residential real estate; Light rail transit; Rapid transit; Property (philosophy); Transit system; Value (mathematics); Hedonic pricing; Business; Civil engineering; Computer science; Econometrics; Engineering; Public transport; Economics; Finance; Land use","score_opus":0.037106675022716265,"score_gpt":0.24861493458714073,"score_spread":0.21150825956442448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795716466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964309,0.0017572363,0.0009899447,0.00016006538,0.00021753066,0.00012623212,0.000098648234,0.0000026664618,0.00021680424],"genre_scores_gemma":[0.99710685,0.0024128284,0.00030578198,0.000012100465,0.000130017,0.0000017306007,0.0000022101478,0.000009124068,0.000019330853],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9989244,0.000017488082,0.00080014335,0.00010708178,0.000049081995,0.00010185783],"domain_scores_gemma":[0.99856955,0.000174154,0.0009892761,0.0001321711,0.00010008652,0.00003476125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006214835,0.00009210499,0.00032865067,0.000056851062,0.0000969816,0.00002882739,0.00015988051,0.000043682827,0.0000061349187],"category_scores_gemma":[0.000047944694,0.00004886606,0.00014879297,0.00007014982,0.00014128891,0.0004284212,0.000001463036,0.00009800189,7.667013e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036307184,0.0002775655,0.35970363,0.00014930704,0.0007786505,0.000002723651,0.032111462,0.57201797,0.0018280599,0.01745409,0.00033784326,0.011708013],"study_design_scores_gemma":[0.0020223549,0.0018225489,0.8756708,0.00056207814,0.00009437228,0.0000037032478,0.0021635462,0.057682276,0.00065764104,0.058446977,0.00056872796,0.0003049885],"about_ca_topic_score_codex":0.00030540358,"about_ca_topic_score_gemma":0.00012008166,"teacher_disagreement_score":0.5159672,"about_ca_system_score_codex":0.000038630926,"about_ca_system_score_gemma":0.00004815646,"threshold_uncertainty_score":0.19927001},"labels":[],"label_agreement":null},{"id":"W2795756513","doi":"10.15353/rea.v10i1.1509","title":"Heterogeneous Monetary Policy Transmission in the US Housing Market","year":2018,"lang":"en","type":"article","venue":"Review of Economic Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Oxford; State Scholarships Foundation; University of Pretoria; University of Cambridge; University of Connecticut","keywords":"Economics; House price; Investment (military); Shock (circulatory); Monetary policy; Monetary economics; Inequality; Poverty; Economic growth","score_opus":0.021497723505717933,"score_gpt":0.25324901042520903,"score_spread":0.2317512869194911,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795756513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52910304,0.112665944,0.003321083,0.0043204175,0.00032090815,0.0008384619,0.00017105202,0.000046321537,0.34921277],"genre_scores_gemma":[0.8693632,0.12806843,0.00066214905,0.0015351266,0.00022450241,0.000012215008,0.000023839722,0.000022594555,0.000087978144],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978172,0.000081044964,0.0013351132,0.000428965,0.000025548672,0.00031212685],"domain_scores_gemma":[0.9985533,0.00008551567,0.000620256,0.00066012033,0.000015851578,0.0000650063],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001965999,0.00019864742,0.00107588,0.00065906404,0.00008373922,0.000041033043,0.00048766308,0.00008251672,0.0025203335],"category_scores_gemma":[0.0000518051,0.00018457374,0.0006407857,0.00070890615,0.00011933753,0.00015809873,0.000042143587,0.000104731786,0.0002910573],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002543774,0.0007655719,0.66326165,0.007632961,0.006958405,0.000036986272,0.0024828354,0.010281059,0.0000147584215,0.028395422,0.0145022655,0.26541373],"study_design_scores_gemma":[0.0014284684,0.00029365436,0.07182614,0.0019501457,0.0017606687,0.000035953908,0.00010065182,0.4085446,0.00005295564,0.019113015,0.49306616,0.0018275722],"about_ca_topic_score_codex":0.0016800127,"about_ca_topic_score_gemma":0.00043099266,"teacher_disagreement_score":0.5914355,"about_ca_system_score_codex":0.00020264051,"about_ca_system_score_gemma":0.00005007192,"threshold_uncertainty_score":0.9983915},"labels":[],"label_agreement":null},{"id":"W2795872159","doi":"","title":"Housing equilibrium price framework for Malaysian middle Class group in affordable housing market","year":2017,"lang":"en","type":"other","venue":"UTHM Institutional Repository (Universiti Tun Hussein Onn Malaysia)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Affordable housing; Population; Government (linguistics); Economics; Quarter (Canadian coin); Supply and demand; Business; Public economics; Economic growth; Microeconomics","score_opus":0.031225426361575766,"score_gpt":0.2181708442399609,"score_spread":0.18694541787838512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795872159","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02034177,0.0010727732,0.024293313,0.00022406764,0.0039939764,0.0009339938,0.0004989432,0.00027230434,0.94836885],"genre_scores_gemma":[0.4919756,0.00081748626,0.0498979,0.00033713022,0.004375608,0.00011480854,0.00058076915,0.0011680269,0.45073268],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965617,0.0000549752,0.0007830931,0.0014227391,0.00014814464,0.0010293388],"domain_scores_gemma":[0.9967663,0.00017676139,0.0015373222,0.0011850258,0.000055409273,0.00027917544],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00073177414,0.00071237015,0.001239325,0.0014490809,0.0007183285,0.00049489137,0.001038668,0.0011739027,0.00090924045],"category_scores_gemma":[0.00016034863,0.0010392388,0.0005186819,0.00032313727,0.0004928126,0.0009230744,0.00035565105,0.00070516753,0.00020768902],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00095345493,0.0009545798,0.019061707,0.0024563204,0.0011022731,0.0017490156,0.00078530895,0.01593633,0.00010215783,0.8409376,0.11350385,0.0024574003],"study_design_scores_gemma":[0.0019124992,0.00013143082,0.00077722373,0.0022533878,0.00009507388,0.000090578185,0.0003264153,0.062624775,0.000019149707,0.0154758245,0.914326,0.001967641],"about_ca_topic_score_codex":0.0010227071,"about_ca_topic_score_gemma":0.00014618931,"teacher_disagreement_score":0.8254618,"about_ca_system_score_codex":0.0015239429,"about_ca_system_score_gemma":0.0003625435,"threshold_uncertainty_score":0.99920577},"labels":[],"label_agreement":null},{"id":"W2797652063","doi":"10.1111/1540-6229.12294","title":"The Geography of Real Property Information and Investment: Firm Location, Asset Location and Institutional Ownership","year":2019,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Real estate investment trust; Real estate; Metropolitan area; Asset (computer security); Portfolio; Institutional investor; Exploit; Business; Investment (military); Sample (material); Finance; Financial economics; Economics; Corporate governance; Politics; Geography","score_opus":0.014924180356827233,"score_gpt":0.18699461132139628,"score_spread":0.17207043096456903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797652063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87493867,0.000079782105,0.000121243706,0.00030577983,0.00024007952,0.000293093,0.00005693503,0.000017944334,0.123946466],"genre_scores_gemma":[0.96800745,0.03129867,0.00029226235,0.0001107495,0.00003526727,0.000017870307,0.000117811855,0.000012506606,0.000107409054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99887633,0.00001395803,0.0006804498,0.00021865989,0.00001758559,0.00019300423],"domain_scores_gemma":[0.9990332,0.0000793701,0.0005030575,0.00024564908,0.000062026505,0.00007670316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007167529,0.00013389692,0.00024294705,0.0001591488,0.00017111363,0.00015673703,0.00012211813,0.00009136831,0.000010870387],"category_scores_gemma":[0.000047160403,0.00011249724,0.00003448111,0.0001158692,0.00019942704,0.0009636071,0.000058874244,0.00008907521,0.000077325814],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012466098,0.00004462443,0.5678207,0.0002665785,0.000100071586,1.7080662e-7,0.0011271357,0.0043969816,0.0000027883805,0.34609818,0.00024441446,0.079773664],"study_design_scores_gemma":[0.0015251909,0.00019183043,0.6956,0.000045523244,0.000018063341,0.000012905052,0.00043580082,0.1245883,0.00002369575,0.027817655,0.1491949,0.000546163],"about_ca_topic_score_codex":0.0019905532,"about_ca_topic_score_gemma":0.00026999944,"teacher_disagreement_score":0.31828052,"about_ca_system_score_codex":0.00011858915,"about_ca_system_score_gemma":0.00009987028,"threshold_uncertainty_score":0.45875043},"labels":[],"label_agreement":null},{"id":"W2797731320","doi":"10.1080/10835547.2018.12090009","title":"The Financial Performance of Green Reits Revisited","year":2018,"lang":"en","type":"article","venue":"Journal of Real Estate Portfolio Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Real estate investment trust; Econometrics; Treynor ratio; Economics; Executive summary; Real estate; Estimator; Capital asset pricing model; Robustness (evolution); Systematic risk; Financial economics; Actuarial science; Mathematics; Statistics; Sharpe ratio; Finance; Portfolio","score_opus":0.015290270272514082,"score_gpt":0.21630606478054293,"score_spread":0.20101579450802884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797731320","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6396012,0.000101437574,0.00018014514,0.00019095888,0.00054509187,0.00010083493,0.000005563274,0.0000062624467,0.35926855],"genre_scores_gemma":[0.933809,0.06273224,0.00085749873,0.000079854275,0.00040873626,0.0000021118706,0.000001949689,0.000020991376,0.002087649],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99833286,0.000013859769,0.0011775059,0.00014636981,0.000066890185,0.00026251466],"domain_scores_gemma":[0.9979882,0.000028817538,0.0015121319,0.0002824607,0.000114415016,0.000073974545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016712659,0.00012097295,0.0003680956,0.00025839414,0.00014440464,0.000048310427,0.00037961337,0.000045408782,0.00008885007],"category_scores_gemma":[0.00003761197,0.00010242741,0.00014315154,0.00024457695,0.00011895224,0.0002415741,0.000094732706,0.00012750697,0.00007149884],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078791834,0.0001400592,0.07145081,0.00024259905,0.00035132995,0.0000769646,0.0008274211,0.00017860628,0.0000074807854,0.051530235,0.013933317,0.8604733],"study_design_scores_gemma":[0.0013750312,0.0010162202,0.22160971,0.00013645762,0.00006770499,0.00004932252,0.00018987549,0.004954187,0.00009370514,0.008750796,0.7613848,0.00037220892],"about_ca_topic_score_codex":0.00011323079,"about_ca_topic_score_gemma":0.00003223664,"teacher_disagreement_score":0.86010104,"about_ca_system_score_codex":0.00008201791,"about_ca_system_score_gemma":0.000024440218,"threshold_uncertainty_score":0.41768685},"labels":[],"label_agreement":null},{"id":"W2798122708","doi":"10.1111/jmcb.12847","title":"The Propagation of Regional Shocks in Housing Markets: Evidence from Oil Price Shocks in Canada","year":2021,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Redistribution (election); Economics; Oil price; Revenue; Demand shock; Government revenue; Monetary economics; Government (linguistics); Government spending; House price; International economics; Macroeconomics; Market economy; Finance","score_opus":0.028316113977344435,"score_gpt":0.20629680410571669,"score_spread":0.17798069012837225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2798122708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899592,0.006432115,0.00020036682,0.0011758559,0.00055208104,0.000027020003,0.000005775891,0.0000013679357,0.0016462374],"genre_scores_gemma":[0.99204606,0.0071256016,0.00047425213,0.0000706238,0.00024082602,0.0000010916551,0.0000016132167,0.000010263725,0.000029676323],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985718,0.000042815307,0.0009566678,0.00016291003,0.0000758355,0.00018992991],"domain_scores_gemma":[0.99850744,0.00048428052,0.00076948,0.00012587137,0.000067404886,0.00004551818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013069457,0.00009528273,0.0003504253,0.00013530324,0.00007464204,0.00007978867,0.00015982735,0.000057956135,0.00004349365],"category_scores_gemma":[0.0004361184,0.00009044073,0.000053486656,0.00019142321,0.00003274743,0.00035679512,0.000054094646,0.00026481165,4.428643e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020199506,0.000033250857,0.9722168,0.000046439287,0.000040871622,0.00008378781,0.0006937006,0.0010252981,0.00020571494,0.00028272605,0.00065306335,0.024516342],"study_design_scores_gemma":[0.0014842402,0.000052108655,0.9495113,0.001675953,0.000020170857,0.00007277687,0.0015247365,0.027085105,0.0005526399,0.011050166,0.006585537,0.00038529307],"about_ca_topic_score_codex":0.08942022,"about_ca_topic_score_gemma":0.29932505,"teacher_disagreement_score":0.20990483,"about_ca_system_score_codex":0.0004692665,"about_ca_system_score_gemma":0.0005457416,"threshold_uncertainty_score":0.9166434},"labels":[],"label_agreement":null},{"id":"W2798198590","doi":"10.7939/r3m61c159","title":"Purchasing condominium units from developers: a critical analysis of purchaser vulnerability in the unregulated market and British Columbia's legislative response","year":2011,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Legislature; Purchasing; Business; Vulnerability (computing); Marketing; Geography; Computer security; Computer science; Archaeology","score_opus":0.029438159935768666,"score_gpt":0.18632203932133487,"score_spread":0.1568838793855662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2798198590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.917343,0.00007904841,0.000077962264,0.00029447422,0.000035443853,0.00011572824,0.00018286491,0.00000740443,0.08186403],"genre_scores_gemma":[0.99765116,0.000084559346,0.0011704912,0.00007099572,0.0000053556137,2.991916e-7,0.00003944136,0.0000098350065,0.000967865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99889374,0.00022126324,0.0003641889,0.00032056394,0.000026932214,0.00017328853],"domain_scores_gemma":[0.99802834,0.0014200803,0.00019076097,0.00027084668,0.000029236588,0.000060739967],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006428072,0.00008817206,0.00050266023,0.00024718212,0.000098862976,0.00006651742,0.0002947043,0.00011910558,0.003184343],"category_scores_gemma":[0.00043518833,0.00013806343,0.00009143937,0.0007801291,0.00047114916,0.0006886069,0.00013667844,0.00012884074,0.0000031013878],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016512874,0.00020589845,0.9543792,0.000023513696,0.0005264026,0.00003914577,0.038413852,0.000010333117,0.0000050652166,0.0028049997,0.0011946856,0.0007455873],"study_design_scores_gemma":[0.0010083008,0.00006423562,0.981824,0.00003639219,0.00011436073,0.00000239118,0.004109326,0.003722404,0.000011790941,0.005386495,0.003505652,0.00021464478],"about_ca_topic_score_codex":0.109156124,"about_ca_topic_score_gemma":0.045437433,"teacher_disagreement_score":0.08089616,"about_ca_system_score_codex":0.000025648429,"about_ca_system_score_gemma":0.00006783645,"threshold_uncertainty_score":0.99772686},"labels":[],"label_agreement":null},{"id":"W2800111307","doi":"10.1111/irfi.12194","title":"Securitized and Direct Real Estate Factors in the Pricing of US Bank Stocks","year":2018,"lang":"en","type":"article","venue":"International Review of Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université Laval","funders":"","keywords":"Real estate; Real estate investment trust; Business; Capitalization rate; Financial economics; Investment (military); Economics; Finance","score_opus":0.021798605044155102,"score_gpt":0.2585910857472519,"score_spread":0.23679248070309683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800111307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81109357,0.0025083253,0.000039971077,0.00026997863,0.00020926518,0.00012974712,0.000054378186,0.0000031414618,0.18569164],"genre_scores_gemma":[0.8384167,0.16112766,0.00023457843,0.000115490206,0.000036210393,0.0000063830535,0.000005685049,0.0000057106195,0.000051571926],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991158,0.000016432874,0.0005743519,0.00016292935,0.000033543947,0.00009691898],"domain_scores_gemma":[0.9992366,0.0001195076,0.00043381265,0.00015424634,0.000045523717,0.000010350015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007513469,0.000077570396,0.00033064923,0.00008482716,0.00002036509,0.000011594368,0.00023909114,0.00002673603,0.00006796304],"category_scores_gemma":[0.0002604401,0.00006853871,0.00006132717,0.0001119714,0.00008898513,0.000112209214,0.0000374958,0.000060620274,0.000008820763],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088514076,0.00021291162,0.75159186,0.0023295118,0.000096226606,0.000006141706,0.004051238,0.00002366519,0.00005365189,0.110876516,0.0018714819,0.12879829],"study_design_scores_gemma":[0.0008410061,0.00017154649,0.69083244,0.0039516245,0.000013170249,0.000008100264,0.00007001573,0.00224,0.0003456132,0.008388633,0.29278323,0.00035460305],"about_ca_topic_score_codex":0.0006039169,"about_ca_topic_score_gemma":0.00012274437,"teacher_disagreement_score":0.29091176,"about_ca_system_score_codex":0.000035111112,"about_ca_system_score_gemma":0.000014312191,"threshold_uncertainty_score":0.27949277},"labels":[],"label_agreement":null},{"id":"W2800475174","doi":"10.15353/rea.v10i2.1443","title":"Exploratory Study of Comparison Income and Individual Debt Using British Household Panel Survey","year":2018,"lang":"en","type":"article","venue":"Review of Economic Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Aberdeen","keywords":"Tobit model; Debt; Economics; Econometrics; Panel data; Earnings; Keeping up with the Joneses; Demographic economics; Household debt; Regression analysis; Macroeconomics; Finance; Statistics; Mathematics","score_opus":0.1856560828469781,"score_gpt":0.2955217869121398,"score_spread":0.10986570406516172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800475174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98118114,0.016707141,0.00017187545,0.0000058656506,0.0001099137,0.00024342797,0.0003796427,0.000012479902,0.0011884952],"genre_scores_gemma":[0.98066455,0.018871233,0.00026027125,0.00004678351,0.0000575568,0.0000061851583,0.00004738677,0.000027772687,0.000018246816],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971278,0.00012291947,0.0019751685,0.00050798093,0.000032682692,0.00023349369],"domain_scores_gemma":[0.99758995,0.00013346947,0.0015799924,0.0005491768,0.00005090427,0.00009648739],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003151934,0.00019061763,0.0020488917,0.00045370823,0.00008639863,0.000059881375,0.0003327733,0.00008099691,0.0004883135],"category_scores_gemma":[0.00012141475,0.0002598769,0.00025539883,0.00047129963,0.00017481743,0.000258401,0.00017470332,0.00008909679,0.000053583342],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009456183,0.00016562291,0.9951112,0.0003849228,0.0013370352,5.211566e-7,0.00027757857,0.0002504154,7.2237646e-7,0.000119106284,0.00013660268,0.002206796],"study_design_scores_gemma":[0.0012110953,0.00037989786,0.9618293,0.000789914,0.0018445137,0.0000049186838,0.00044476832,0.030876415,0.000011706344,0.00054773875,0.0012177697,0.0008419527],"about_ca_topic_score_codex":0.00471503,"about_ca_topic_score_gemma":0.0050363396,"teacher_disagreement_score":0.03328191,"about_ca_system_score_codex":0.00010753082,"about_ca_system_score_gemma":0.00003854886,"threshold_uncertainty_score":0.99998534},"labels":[],"label_agreement":null},{"id":"W2800938332","doi":"10.1111/iere.12316","title":"HOUSING PRICE AND FUNDAMENTALS IN A TRANSITION ECONOMY: THE CASE OF THE BEIJING MARKET","year":2018,"lang":"en","type":"article","venue":"International Economic Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Beijing; Economics; Value (mathematics); Demographics; General equilibrium theory; Transition (genetics); Microeconomics; Econometrics; Economy; Macroeconomics; China; Geography; Mathematics","score_opus":0.02777713660210662,"score_gpt":0.2544145676240902,"score_spread":0.22663743102198358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800938332","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6882218,0.006134194,0.000164664,0.008297935,0.0010199419,0.0005343539,0.00008505317,0.000010870378,0.2955312],"genre_scores_gemma":[0.9851814,0.012760325,0.00009926906,0.0016372001,0.00016858788,0.000022407921,0.0000027888739,0.000015404672,0.00011259712],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99874085,0.000036015976,0.0007976714,0.00027149208,0.000008592235,0.00014539874],"domain_scores_gemma":[0.99911183,0.00009936459,0.00047854267,0.00026530385,0.000016957123,0.000028010694],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001310266,0.00011670044,0.00032582376,0.000089491725,0.000093066505,0.00007126859,0.00027995292,0.000041372983,0.0010917111],"category_scores_gemma":[0.00005572101,0.000098273325,0.00011422171,0.00006353815,0.00016141508,0.0002836204,0.000090830836,0.000097820026,0.000080365804],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022724092,0.00036608745,0.16700464,0.0030255204,0.0009486514,0.00008774628,0.005184276,0.0005027499,0.00003299146,0.5502461,0.022081697,0.25029227],"study_design_scores_gemma":[0.0021872085,0.000108415385,0.017800923,0.0029830106,0.00007343409,0.0013125403,0.000517446,0.072525166,0.00010192789,0.07892426,0.82243556,0.0010300799],"about_ca_topic_score_codex":0.00039290116,"about_ca_topic_score_gemma":0.00065121416,"teacher_disagreement_score":0.8003539,"about_ca_system_score_codex":0.00026239283,"about_ca_system_score_gemma":0.000030638676,"threshold_uncertainty_score":0.9998214},"labels":[],"label_agreement":null},{"id":"W2801257900","doi":"10.2139/ssrn.3198480","title":"Land Use Regulations, Migration and Rising House Price Dispersion in the U.S.","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Dispersion (optics); House price; Economics; Agricultural economics; Land use; Geography; Natural resource economics; Business; Econometrics; Civil engineering; Engineering","score_opus":0.016068031203422095,"score_gpt":0.2070981856526518,"score_spread":0.19103015444922972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801257900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941585,0.00065705535,0.0018457448,0.0017964757,0.000085554995,0.000077856545,0.0000015055687,0.000010678718,0.0013666314],"genre_scores_gemma":[0.9923918,0.006931851,0.00018566338,0.0001318056,0.00018637601,0.0000012094421,0.0000019688582,0.000014681907,0.00015464611],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998995,0.000023907292,0.00026998075,0.00014424462,0.000021398391,0.0005454685],"domain_scores_gemma":[0.99963653,0.00003946945,0.00015802785,0.00012322191,0.000016407634,0.000026351407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015870593,0.00007324799,0.00012694711,0.00014690122,0.00021455197,0.00019762875,0.00008503565,0.000053156058,0.000010909792],"category_scores_gemma":[0.00007036266,0.00006457708,0.00003757254,0.00012944019,0.000042410644,0.0004001145,0.000014811088,0.00039977924,0.0000270324],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007689615,0.00006102334,0.8779346,0.000004669378,0.000031908672,0.0000013254516,0.0014051765,0.00003440118,0.00001441649,0.111046866,0.00018147663,0.0092072645],"study_design_scores_gemma":[0.0014062756,0.0003752458,0.5665315,0.000030334659,0.00001650914,0.00051860715,0.0009808248,0.010898661,0.000012385559,0.37917823,0.039697684,0.00035374044],"about_ca_topic_score_codex":0.0003580164,"about_ca_topic_score_gemma":0.0046243677,"teacher_disagreement_score":0.31140307,"about_ca_system_score_codex":0.00029236867,"about_ca_system_score_gemma":0.000087219676,"threshold_uncertainty_score":0.26333767},"labels":[],"label_agreement":null},{"id":"W2801429553","doi":"10.15396/eres2018_148","title":"Real estate and land property automated valuations systems: a taxonomy and conceptual model","year":2018,"lang":"en","type":"article","venue":"25th Annual European Real Estate Society Conference","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Valuation (finance); Computer science; Taxonomy (biology); Conceptual framework; Real estate; Data science; Knowledge management; Management science; Artificial intelligence; Data mining; Accounting; Engineering","score_opus":0.06908890030406299,"score_gpt":0.2402493464695233,"score_spread":0.17116044616546033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801429553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6057816,0.000023667784,0.0014712643,0.000097380704,0.00016629105,0.00043007458,0.0006192695,0.0003117346,0.3910987],"genre_scores_gemma":[0.9736266,0.020844933,0.0034457182,0.000106814114,0.00016579105,0.00003139782,0.000083291416,0.00007002862,0.0016254085],"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978941,0.00010287387,0.00070076296,0.0007271927,0.000056206198,0.0005188511],"domain_scores_gemma":[0.9987548,0.00004829008,0.00037928164,0.00032782322,0.0002033735,0.00028644773],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010937036,0.00031649525,0.00049022114,0.00006691288,0.00040932,0.0003739471,0.00022742778,0.00010427936,0.000023265346],"category_scores_gemma":[0.00005947805,0.00029707525,0.000082705774,0.00013384593,0.0008505285,0.0005367772,0.00021636634,0.00021511938,0.00014694662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073792634,0.00084742135,0.18777557,0.0012357504,0.001484049,0.00012024025,0.3328967,0.009643855,0.00035545861,0.11890989,0.062570445,0.28342268],"study_design_scores_gemma":[0.001041465,0.00021424807,0.008251632,0.000038898594,0.000023373466,0.000015157139,0.0034479734,0.95851827,0.0000024993087,0.00016685283,0.027750732,0.0005289188],"about_ca_topic_score_codex":0.0032508206,"about_ca_topic_score_gemma":0.00020861572,"teacher_disagreement_score":0.9488744,"about_ca_system_score_codex":0.00008539637,"about_ca_system_score_gemma":0.00014753139,"threshold_uncertainty_score":0.99994814},"labels":[],"label_agreement":null},{"id":"W2801450624","doi":"","title":"The effect of firm characteristics on the choice among straight debt, convertible debt and equity issuance : evidence from Canada","year":2013,"lang":"en","type":"article","venue":"Saint Mary's University Institutional Repository (Saint Mary's University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Convertible bond; Debt; Convertible; Equity (law); Business; Monetary economics; Economics; Financial system; Finance; Political science","score_opus":0.01204301600268367,"score_gpt":0.1724039070619097,"score_spread":0.16036089105922602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801450624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94520336,0.00015067632,0.0002055187,0.0010819891,0.0007441175,0.00045645388,0.00014915242,0.000033944165,0.051974773],"genre_scores_gemma":[0.99557626,0.0004924658,0.000048196565,0.000095498486,0.0001019072,0.0000011226225,0.000024416915,0.0000133921785,0.0036467281],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982642,0.00018034704,0.00040276608,0.00057160313,0.00015645266,0.0004246271],"domain_scores_gemma":[0.9968774,0.001688513,0.00052718044,0.0005665197,0.00011969481,0.00022071155],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0004916208,0.0003115431,0.0004739379,0.00019954762,0.0015539919,0.00013421664,0.00088341796,0.00016201023,0.00020142294],"category_scores_gemma":[0.00033090805,0.00028696907,0.00015941083,0.00032718596,0.0008649677,0.0007115019,0.0005090857,0.00039990677,0.00003882094],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078338175,0.000100463156,0.8156115,0.00012864558,0.00047764977,0.00032042613,0.00020117719,0.0006257035,0.0002229075,0.17390563,0.0035090905,0.004113458],"study_design_scores_gemma":[0.0011166229,0.0003364427,0.83373904,0.0002867586,0.00010631696,0.000014315452,0.00027363808,0.005358597,0.00055786927,0.00077995606,0.15673207,0.00069837546],"about_ca_topic_score_codex":0.41588926,"about_ca_topic_score_gemma":0.043187052,"teacher_disagreement_score":0.3727022,"about_ca_system_score_codex":0.0025319445,"about_ca_system_score_gemma":0.00040694652,"threshold_uncertainty_score":0.9999582},"labels":[],"label_agreement":null},{"id":"W2802021639","doi":"10.1016/j.jue.2018.04.001","title":"The vertical city: Rent gradients, spatial structure, and agglomeration economies","year":2018,"lang":"en","type":"article","venue":"Journal of Urban Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":86,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Economies of agglomeration; Productivity; Real estate; Horizontal and vertical; Gentrification; Economic rent; Economic geography; Business; Estate; Residential real estate; Economics; Market economy; Geography; Microeconomics; Finance; Economic growth","score_opus":0.017980581053394947,"score_gpt":0.1986546528351268,"score_spread":0.18067407178173184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802021639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98887783,0.0005945433,0.0005874581,0.0009634626,0.0026419715,0.00009104362,0.00003095889,0.000008108224,0.006204611],"genre_scores_gemma":[0.99514735,0.0025159318,0.00038496478,0.00023503235,0.0015410327,0.0000012204055,0.0000030164645,0.000025946552,0.000145506],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982524,0.000019186782,0.0011685513,0.00023723971,0.000018832616,0.00030382664],"domain_scores_gemma":[0.9986717,0.00014873967,0.0006997012,0.00025968198,0.00006410225,0.00015603675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000777771,0.00017397433,0.000447522,0.00016845239,0.00032680723,0.00036654362,0.00027676343,0.000111514506,0.00013626505],"category_scores_gemma":[0.0001983316,0.00016039991,0.00013324639,0.000047436646,0.00029852224,0.00047609545,0.00007777946,0.0002123627,0.00005503422],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000737919,0.00013800146,0.6023977,0.000029591307,0.0006274704,0.0000062546533,0.0017569273,0.0001961815,0.000040919465,0.31883508,0.015162853,0.060071114],"study_design_scores_gemma":[0.0030382478,0.0011090116,0.1369795,0.000035764693,0.000071021,0.00021909937,0.00023243128,0.02167581,0.0009369982,0.2131057,0.6216996,0.0008968584],"about_ca_topic_score_codex":0.000051992152,"about_ca_topic_score_gemma":0.00026262473,"teacher_disagreement_score":0.6065367,"about_ca_system_score_codex":0.00024847608,"about_ca_system_score_gemma":0.000055192162,"threshold_uncertainty_score":0.65409184},"labels":[],"label_agreement":null},{"id":"W2802178773","doi":"10.5539/ijef.v10n6p104","title":"Determinants of Apartment Prices within Housing Estates of Nairobi Metropolitan Area","year":2018,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Apartment; Metropolitan area; Renting; Real estate; Business; Descriptive statistics; Value (mathematics); Agricultural economics; Central city; Geography; Finance; Regional science; Economics; Statistics; Civil engineering; Mathematics; Engineering","score_opus":0.026625356707115706,"score_gpt":0.24318092043400918,"score_spread":0.21655556372689347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802178773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99116296,0.00052050955,0.00026538043,0.00012337905,0.0012182887,0.000050464525,0.00008770647,0.0000019451613,0.0065693804],"genre_scores_gemma":[0.9897083,0.0052283495,0.004756642,0.000050602466,0.00019250007,9.481966e-7,0.0000016263324,0.000015799915,0.00004521649],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99826926,0.0000065746867,0.0013690036,0.0001796988,0.000027309265,0.00014815209],"domain_scores_gemma":[0.9971077,0.00006365192,0.002461441,0.00013795447,0.00018838469,0.000040912186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006365202,0.00012806278,0.0005254324,0.00031470784,0.000039273553,0.000048212907,0.00034247604,0.000062749765,0.000032720873],"category_scores_gemma":[0.0000833469,0.00014012144,0.00012617401,0.00005517377,0.00023094057,0.0003668704,0.000078543206,0.00007925052,0.0000059238887],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077101926,0.0005048298,0.40195587,0.00008435766,0.00061995594,0.000021828415,0.0026643083,0.003923059,0.00014267614,0.56289136,0.000282439,0.02613829],"study_design_scores_gemma":[0.008823626,0.0037876626,0.11474275,0.0010985559,0.00013288674,0.0004741721,0.0020783043,0.21542068,0.047044042,0.51557,0.088766545,0.002060783],"about_ca_topic_score_codex":0.00012180456,"about_ca_topic_score_gemma":0.0001171337,"teacher_disagreement_score":0.28721312,"about_ca_system_score_codex":0.00015523587,"about_ca_system_score_gemma":0.000057077774,"threshold_uncertainty_score":0.5713987},"labels":[],"label_agreement":null},{"id":"W2802879226","doi":"10.1177/0042098018760708","title":"Rail station access and housing market resilience: Case studies of Atlanta, Baltimore and Portland","year":2018,"lang":"en","type":"article","venue":"Urban Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Atlanta; Mile; Recession; Quarter (Canadian coin); Great recession; Resilience (materials science); Value (mathematics); Psychological resilience; Market value; Business; Demographic economics; Economics; Geography; Finance; Labour economics; Metropolitan area","score_opus":0.07209578813531514,"score_gpt":0.30782608812185736,"score_spread":0.2357302999865422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802879226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9695204,0.01258707,0.000046257297,0.00015060125,0.0002670027,0.00013275855,0.00005277185,0.000020261401,0.017222913],"genre_scores_gemma":[0.9872411,0.011668136,0.00038591423,0.00006909763,0.00014835224,0.000007177682,0.0000021311912,0.000015315869,0.0004627936],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989116,0.000017225571,0.00048748296,0.00035078675,0.000023805032,0.00020908762],"domain_scores_gemma":[0.9991791,0.00018214242,0.00033540535,0.00016419453,0.00009324808,0.00004587044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006423481,0.00015336057,0.0005203629,0.00016744442,0.0002909821,0.000066265064,0.00007244721,0.00004740193,0.000030671614],"category_scores_gemma":[0.00028750894,0.0001544829,0.000029051429,0.000121672274,0.00060210086,0.00032799464,0.00021816103,0.00005753159,0.0000050663557],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009095455,0.000025471687,0.9585552,0.00029291757,0.00032983403,0.00006769685,0.0077043134,0.0000035639946,0.0000049344594,0.0019660692,0.023400653,0.0075583565],"study_design_scores_gemma":[0.0072644153,0.0015956111,0.7608546,0.00078985706,0.0004176844,0.001105383,0.04797159,0.010759389,0.0005863946,0.113372475,0.052062966,0.0032196103],"about_ca_topic_score_codex":0.0001488037,"about_ca_topic_score_gemma":0.00053481315,"teacher_disagreement_score":0.1977006,"about_ca_system_score_codex":0.000046701167,"about_ca_system_score_gemma":0.00001019647,"threshold_uncertainty_score":0.629963},"labels":[],"label_agreement":null},{"id":"W2802913876","doi":"10.5755/j01.ee.29.2.19380","title":"Real Estate Market Stability: Evaluation of the Metropolitan Areas Using Factor Analysis","year":2018,"lang":"en","type":"article","venue":"Engineering Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Real estate; Stability (learning theory); Econometrics; Business; Economics; Financial economics; Geography; Computer science; Finance","score_opus":0.05147151421217702,"score_gpt":0.23716407041580198,"score_spread":0.18569255620362496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802913876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9483249,0.000023486618,0.0015359395,0.000032546774,0.0007614036,0.00018331288,0.0001795313,0.000032430467,0.04892645],"genre_scores_gemma":[0.99790055,0.0001723308,0.0016556586,0.000009963252,0.00017155388,0.0000067270184,0.00000752362,0.000038734142,0.000036974878],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984669,0.000038452537,0.0007622467,0.0003817871,0.000038086127,0.0003125],"domain_scores_gemma":[0.9986153,0.00008947647,0.00043794024,0.0006950178,0.00008396321,0.000078287114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018538253,0.00019009049,0.00050890306,0.00036439282,0.000107304586,0.00006469317,0.00030594558,0.000101915386,0.0008859601],"category_scores_gemma":[0.00026797058,0.00020877032,0.000291025,0.00042686853,0.00009496209,0.00022690142,0.00009439031,0.00012806407,0.00002446079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007200956,0.00014935748,0.81985706,0.00010378279,0.002578921,3.672711e-7,0.0023516992,0.14202422,0.00029463423,0.026009414,0.00012460058,0.006433931],"study_design_scores_gemma":[0.00027390124,0.000018444793,0.0964234,0.0000053201056,0.00016199372,8.2196914e-7,0.000109224835,0.89980555,0.00063043676,0.0012139806,0.0011040358,0.00025288263],"about_ca_topic_score_codex":0.0009582516,"about_ca_topic_score_gemma":0.00039960264,"teacher_disagreement_score":0.7577813,"about_ca_system_score_codex":0.0011835791,"about_ca_system_score_gemma":0.00007477951,"threshold_uncertainty_score":0.9700642},"labels":[],"label_agreement":null},{"id":"W2804101194","doi":"","title":"EFFECTS OF SHADOW BANKING ON HOUSE PRICES - EMPIRICAL STUDY BASED ON CANADIAN REAL ESTATE MARKET","year":2017,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Business; House price; Shadow (psychology); Economics; Finance; Monetary economics","score_opus":0.021458168552016203,"score_gpt":0.21534022145072965,"score_spread":0.19388205289871344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804101194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6766763,0.0000024575706,0.000019499437,0.0001493384,0.0002647746,0.00024929404,0.000048518195,0.00003611899,0.32255375],"genre_scores_gemma":[0.99887633,0.00015489299,0.00006440291,0.00012179559,0.000048701477,0.0000012628541,0.000005193531,0.000040771763,0.0006866201],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99871165,0.000045069308,0.0002688535,0.0005201093,0.000051957293,0.00040235583],"domain_scores_gemma":[0.99838144,0.00020456368,0.00040619326,0.0007377448,0.00002675304,0.0002433256],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041585288,0.00021990304,0.0004393466,0.00086221425,0.0004925226,0.00013397985,0.0006900791,0.00013780333,0.00021669664],"category_scores_gemma":[0.00013027847,0.0002831471,0.00013395706,0.00017958441,0.00009300847,0.00029631413,0.0000807207,0.00021097259,0.00013682283],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023247617,0.0002920122,0.9928986,0.00003815534,0.000056535566,0.00020254256,0.00007212181,0.00029115265,1.2079686e-7,0.0006580837,0.0031043028,0.0021538988],"study_design_scores_gemma":[0.0041979407,0.0009685621,0.8715761,0.000095250085,0.00006443381,5.276059e-9,0.0016201856,0.008988604,0.00009861876,0.00046678956,0.111126915,0.000796604],"about_ca_topic_score_codex":0.06772803,"about_ca_topic_score_gemma":0.595469,"teacher_disagreement_score":0.52774096,"about_ca_system_score_codex":0.00043167206,"about_ca_system_score_gemma":0.000108355904,"threshold_uncertainty_score":0.9999621},"labels":[],"label_agreement":null},{"id":"W2804361695","doi":"10.1108/ijhma-08-2017-0078","title":"Determinants of housing prices: evidence from Ontario cities, 2001-2011","year":2018,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Humber Polytechnic","funders":"","keywords":"Economics; Business","score_opus":0.040762799533462374,"score_gpt":0.2547259181846747,"score_spread":0.21396311865121234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804361695","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9887636,0.00072348164,0.0049093417,0.00013657617,0.0008361637,0.000031149768,0.00004024516,0.0000064355013,0.0045530056],"genre_scores_gemma":[0.9923943,0.0014189442,0.005457496,0.000105371786,0.00040775127,4.2969756e-7,0.0000043258083,0.000017005117,0.00019437779],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981604,0.000026871207,0.0012115822,0.00026576116,0.0001258554,0.00020948293],"domain_scores_gemma":[0.9974813,0.00019285602,0.0017149503,0.00019186702,0.00031790303,0.00010114079],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012064812,0.00016203398,0.00068352564,0.0010591263,0.0000917061,0.0002007195,0.00042908898,0.0000854155,0.0016598278],"category_scores_gemma":[0.00017801888,0.00016678261,0.00030951298,0.00023474764,0.00016134759,0.00062834326,0.00011359895,0.00014548414,0.000014300798],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020455978,0.00005652179,0.986779,0.0000071856143,0.0010812185,0.000024627492,0.0009328903,0.00006156914,0.000048986727,0.0000767441,0.00023359885,0.010493136],"study_design_scores_gemma":[0.0009902697,0.00020177719,0.9600754,0.0004108751,0.00068228383,0.000033786688,0.00026533852,0.020474987,0.00045223848,0.0057797874,0.010107407,0.0005258516],"about_ca_topic_score_codex":0.014227927,"about_ca_topic_score_gemma":0.014434888,"teacher_disagreement_score":0.026703566,"about_ca_system_score_codex":0.0002487866,"about_ca_system_score_gemma":0.00010720768,"threshold_uncertainty_score":0.9992528},"labels":[],"label_agreement":null},{"id":"W2805193042","doi":"10.1108/ijhma-09-2017-0080","title":"Toward a history of housing market analysis","year":2018,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Originality; Boom; Historiography; Value (mathematics); Urban history; Globe; Population; Historical method; Sociology; History; Economy; Economics; Political science; Social science; Law; Engineering","score_opus":0.02821238377657303,"score_gpt":0.23104963248256516,"score_spread":0.20283724870599212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805193042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87049997,0.0018521892,0.038716562,0.00055604696,0.0016550452,0.000045511322,0.000053225038,0.000016338408,0.08660514],"genre_scores_gemma":[0.9943718,0.0011471024,0.0032942514,0.00015696113,0.00039022948,4.891765e-7,0.0000066852667,0.000019686953,0.00061281514],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979832,0.000049532275,0.0013257106,0.0002893196,0.00014232038,0.00020987385],"domain_scores_gemma":[0.99734735,0.00012098723,0.0017861867,0.00021619895,0.0004143559,0.00011491656],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017548223,0.00017777299,0.00092752505,0.0034987524,0.000051315445,0.000111573885,0.00040875634,0.00009387331,0.0018054784],"category_scores_gemma":[0.0002018205,0.00018858838,0.0007901423,0.0009041746,0.0002270674,0.0003671234,0.00010274925,0.00014400766,0.000006475475],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076355616,0.00029094334,0.9285629,0.000036603655,0.0318412,0.00007885285,0.0019339662,0.0006773223,0.000101526275,0.0026716501,0.004476359,0.028565155],"study_design_scores_gemma":[0.003421817,0.000429899,0.5412518,0.00019025085,0.011075275,0.000095553405,0.0007333467,0.23109145,0.00017554231,0.011195202,0.19877797,0.0015619193],"about_ca_topic_score_codex":0.00024704458,"about_ca_topic_score_gemma":0.000095327254,"teacher_disagreement_score":0.3873111,"about_ca_system_score_codex":0.00042381897,"about_ca_system_score_gemma":0.0000801164,"threshold_uncertainty_score":0.999107},"labels":[],"label_agreement":null},{"id":"W2805243854","doi":"10.1177/0361198118774153","title":"Spatio-Temporal Hedonic Price Model to Investigate the Dynamics of Housing Prices in Contexts of Urban Form and Transportation Services in Toronto","year":2018,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Econometrics; Hedonic pricing; Central business district; Stock (firearms); Panel data; Economics; Autocorrelation; Population; Spatial analysis; Geography; Statistics; Transport engineering; Mathematics; Engineering","score_opus":0.06256372178000232,"score_gpt":0.3230497681287111,"score_spread":0.2604860463487088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805243854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99496615,0.00032507285,0.0015670725,0.0014226426,0.00016637014,0.00085539214,0.00014802738,0.000006367284,0.0005428815],"genre_scores_gemma":[0.9964016,0.001141377,0.0022106771,0.000042639287,0.00005367718,0.000030160798,0.00002522954,0.00003799774,0.000056641216],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961363,0.0001693482,0.002236208,0.00036949982,0.0005163095,0.00057230983],"domain_scores_gemma":[0.9972468,0.00036614685,0.0009609691,0.00035402662,0.0008843976,0.00018764759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005521861,0.00019946949,0.0006284202,0.0008817319,0.00019565635,0.00006971465,0.0007438469,0.00016217852,0.000074905816],"category_scores_gemma":[0.00008316596,0.00016924672,0.00016435735,0.0012799726,0.00054921064,0.00095304113,0.0000078729745,0.0006968429,0.0000029323894],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012776662,0.0001650004,0.9456501,0.00045910085,0.00005247415,0.0000060106895,0.021029433,0.0036792378,0.00016446944,0.025356011,0.00006692592,0.0020935559],"study_design_scores_gemma":[0.0013505704,0.00047163983,0.9562315,0.00045904398,0.00001303824,1.3563084e-7,0.0038229367,0.02123603,0.00034523514,0.015514957,0.00037660616,0.00017831573],"about_ca_topic_score_codex":0.073240735,"about_ca_topic_score_gemma":0.80165994,"teacher_disagreement_score":0.7284192,"about_ca_system_score_codex":0.0004993695,"about_ca_system_score_gemma":0.00029985502,"threshold_uncertainty_score":0.93293065},"labels":[],"label_agreement":null},{"id":"W2805276756","doi":"10.5539/ijef.v10n7p23","title":"The Risk-Adjusted Performance of Alternative Investment Funds and UCITS: A Comparative Analysis","year":2018,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sharpe ratio; Treynor ratio; Sample (material); Alternative investment; Econometrics; Benchmark (surveying); Investment (military); Investment performance; Business; Economics; Finance; Return on investment; Transaction cost; Portfolio; Geography; Microeconomics","score_opus":0.03776562718628985,"score_gpt":0.24342602428160592,"score_spread":0.20566039709531608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805276756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9882375,0.0010797691,0.00021254137,0.00037896595,0.0006648982,0.000054140746,0.00008281594,0.0000015302413,0.009287863],"genre_scores_gemma":[0.9606334,0.038193114,0.00072904164,0.000114335155,0.00021584428,0.000002100623,0.0000020998643,0.0000063666316,0.00010370894],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875873,0.000016825421,0.0008725703,0.00018790498,0.000026149792,0.00013782589],"domain_scores_gemma":[0.9977293,0.00014005342,0.001754363,0.00013641993,0.00019667638,0.00004319036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007924579,0.00012118223,0.00043797313,0.00027661325,0.00012818226,0.00010901051,0.00032096088,0.00004656856,0.00001578304],"category_scores_gemma":[0.000053752203,0.000108506545,0.00011800112,0.00011015588,0.00032608252,0.00031652662,0.00009106281,0.00012648074,0.000007161017],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010478612,0.0001676573,0.3656445,0.0000133990925,0.0048241606,0.000004234901,0.0046696686,0.014283323,0.0000058665464,0.5794276,0.0004429977,0.029468736],"study_design_scores_gemma":[0.0022099814,0.0008747683,0.27124044,0.000055674052,0.00016567366,0.00004897285,0.00041210494,0.53570604,0.00044381362,0.06200435,0.12639645,0.00044170523],"about_ca_topic_score_codex":0.00011564065,"about_ca_topic_score_gemma":0.00016210746,"teacher_disagreement_score":0.52142274,"about_ca_system_score_codex":0.00008519483,"about_ca_system_score_gemma":0.000030277743,"threshold_uncertainty_score":0.44247687},"labels":[],"label_agreement":null},{"id":"W2805779779","doi":"10.1561/108.00000019","title":"The Nonprime Mortgage Crisis and Positive Feedback Lending","year":2018,"lang":"en","type":"article","venue":"Journal of Law Finance and Accounting","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Economic bubble; Certainty; Bubble; Great recession; Mathematics; Actuarial science; Economics; Business; Psychology; Monetary economics; Computer science; Keynesian economics","score_opus":0.015924754393947936,"score_gpt":0.21983909007654964,"score_spread":0.2039143356826017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805779779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9501004,0.0020918548,0.00023919842,0.00081579573,0.00046306022,0.00003936503,0.000007398484,0.0000046086816,0.04623828],"genre_scores_gemma":[0.9956838,0.002634972,0.000593645,0.000410436,0.0005743714,5.2553236e-7,2.7901822e-7,0.000014333496,0.000087656095],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99904567,0.000007970449,0.0005372932,0.00015310507,0.00002617503,0.0002297585],"domain_scores_gemma":[0.9989846,0.00010271506,0.0007070744,0.00010563192,0.00006648427,0.000033498574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011551487,0.000104190454,0.0002763405,0.00006393034,0.00055610953,0.0003309628,0.000135451,0.000056558045,0.000012970111],"category_scores_gemma":[0.000058649664,0.00008994558,0.000061581064,0.00007089709,0.00016685518,0.0006654491,0.000069896814,0.00017446149,0.00002065886],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030046166,0.000100577534,0.16932775,0.00007545755,0.00033717343,0.000049212213,0.004849723,0.000020500269,0.00030069062,0.7294956,0.006138733,0.08900415],"study_design_scores_gemma":[0.0026069162,0.00064046466,0.23345503,0.0004298336,0.00008886694,0.0005110522,0.0014266813,0.004226318,0.001651882,0.14930107,0.6045039,0.0011579465],"about_ca_topic_score_codex":0.00012527351,"about_ca_topic_score_gemma":0.000048854436,"teacher_disagreement_score":0.5983652,"about_ca_system_score_codex":0.00003326749,"about_ca_system_score_gemma":0.000012080041,"threshold_uncertainty_score":0.4277201},"labels":[],"label_agreement":null},{"id":"W2806772740","doi":"10.1177/1938965518779538","title":"The Impact of Renovation Capital Expenditure on Hotel Property Performance","year":2018,"lang":"en","type":"article","venue":"Cornell Hospitality Quarterly","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"University of Lethbridge","keywords":"Profitability index; Capital expenditure; Revenue; Business; Hospitality; Capital (architecture); Term (time); Finance; Marketing; Tourism","score_opus":0.026337704662982575,"score_gpt":0.2258071040601879,"score_spread":0.19946939939720532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806772740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9494067,0.00005988313,0.00024116806,0.00006251326,0.00066615606,0.00022278957,0.000037768747,0.000033326247,0.04926973],"genre_scores_gemma":[0.9989895,0.00003835033,0.000039010563,0.000031725634,0.00030876475,0.000012867031,0.000016708786,0.000024881989,0.00053814345],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99863595,0.000017251336,0.00062202045,0.00035938452,0.00003498315,0.00033040778],"domain_scores_gemma":[0.9987409,0.000043845906,0.00044808222,0.00062738394,0.0000744803,0.00006527723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000658398,0.00018960134,0.00030560215,0.000075910946,0.00022693533,0.000109104265,0.00032996348,0.00011359327,0.0001453315],"category_scores_gemma":[0.000038260398,0.00012839891,0.00017495103,0.00014048301,0.00024706402,0.00030113332,0.000018509025,0.00014651746,0.0006076936],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007715847,0.0007278183,0.8414726,0.00008172904,0.00031236847,0.0000027269045,0.013601876,0.00021816783,0.0001206455,0.02821089,0.014319293,0.100160256],"study_design_scores_gemma":[0.0007617046,0.0060667642,0.9472826,0.000034228342,0.0000067020496,0.00000380304,0.0006076068,0.011009624,0.00024395944,0.032197665,0.0012493759,0.00053597527],"about_ca_topic_score_codex":0.00049206644,"about_ca_topic_score_gemma":0.00006603586,"teacher_disagreement_score":0.10580995,"about_ca_system_score_codex":0.00016284181,"about_ca_system_score_gemma":0.000032634707,"threshold_uncertainty_score":0.7810875},"labels":[],"label_agreement":null},{"id":"W2806925731","doi":"10.5539/ijef.v10n6p204","title":"Relationship Between Financial and Real Sectors: Implications for Stable Economic Development (Evidence from Thailand)","year":2018,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Stock market; Financial sector development; Real gross domestic product; Financial market; Capital market; Granger causality; Monetary economics; Volatility (finance); Financial system; Financial sector; Finance; Econometrics","score_opus":0.07447396301400111,"score_gpt":0.2696976750580809,"score_spread":0.1952237120440798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806925731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99235195,0.0005309694,0.0028829025,0.0013881403,0.00096361514,0.00010933091,0.00036473383,0.000005254117,0.0014031226],"genre_scores_gemma":[0.98566324,0.0042806542,0.008511077,0.000083907886,0.0013120287,0.000009876419,0.00002087323,0.000019327797,0.00009899489],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985523,0.000007646142,0.0009418199,0.0003028251,0.000013284733,0.00018209727],"domain_scores_gemma":[0.9983753,0.00042271873,0.00089659373,0.00013984853,0.00009683066,0.00006872544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006511058,0.0001421622,0.00036617334,0.00019178215,0.00016379707,0.00018533765,0.00030529147,0.00010744154,0.000022051701],"category_scores_gemma":[0.00019151848,0.00017200327,0.00007528505,0.00002775256,0.000108494445,0.00062816293,0.00008269396,0.000103591665,0.000024227646],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000112601825,0.000018237102,0.8661327,0.000005778742,0.00006992784,4.3679617e-7,0.000558927,0.00013455746,0.000003343939,0.12284695,0.0005561201,0.0095604565],"study_design_scores_gemma":[0.00073382707,0.000095499905,0.7796971,0.000044058666,0.000011071485,0.000009532307,0.000016626374,0.0012684658,0.00007318283,0.14590259,0.07191677,0.00023126502],"about_ca_topic_score_codex":0.00020606925,"about_ca_topic_score_gemma":0.0003344964,"teacher_disagreement_score":0.08643555,"about_ca_system_score_codex":0.00024126373,"about_ca_system_score_gemma":0.00016392539,"threshold_uncertainty_score":0.701409},"labels":[],"label_agreement":null},{"id":"W2807325179","doi":"10.5539/ijef.v10n7p38","title":"Empirical Testing of the Impact of Gender and Marital Status on the Price and Trend of Urban Real Estate – Evidence from Provincial Panel Data of China","year":2018,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Panel data; Real estate; China; Marital status; Economics; Empirical research; Demographic economics; Heteroscedasticity; Empirical evidence; Econometrics; Geography; Demography; Finance; Statistics; Sociology; Mathematics","score_opus":0.13325260078881612,"score_gpt":0.29778236153150767,"score_spread":0.16452976074269154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807325179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954902,0.00030062377,0.00002538297,0.00015137564,0.00021865989,0.00006633178,0.00095723214,6.5469567e-7,0.0027895733],"genre_scores_gemma":[0.99086744,0.0082209585,0.00073664956,0.00001271335,0.00014139763,4.3112118e-7,0.0000033985089,0.00000924364,0.000007785584],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876213,0.000019653402,0.00087239855,0.00019501468,0.000034534718,0.00011629713],"domain_scores_gemma":[0.997402,0.00040283494,0.0018234978,0.00024594588,0.00009304609,0.000032643875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069375825,0.000108958106,0.0003784236,0.00010156081,0.00003863074,0.000034410827,0.00044771767,0.00005139716,0.000012391187],"category_scores_gemma":[0.00041450685,0.00008143594,0.000073128336,0.000054636523,0.00033479574,0.00031234493,0.0002551724,0.000120207784,2.494367e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047693562,0.000107651176,0.9755246,0.000020648571,0.00023552644,0.0000012281998,0.002103918,0.0004890989,0.00011133348,0.004556228,0.00016582587,0.016206982],"study_design_scores_gemma":[0.0004962738,0.0003154549,0.9648309,0.000100336045,0.000014000533,0.000014691885,0.000068696245,0.026646802,0.00018301843,0.006900207,0.00033667625,0.0000929649],"about_ca_topic_score_codex":0.0015177134,"about_ca_topic_score_gemma":0.00012222191,"teacher_disagreement_score":0.026157703,"about_ca_system_score_codex":0.00005293294,"about_ca_system_score_gemma":0.00011717601,"threshold_uncertainty_score":0.33208612},"labels":[],"label_agreement":null},{"id":"W2808257419","doi":"10.1007/978-3-319-89806-3_13","title":"The Impact of Public Transport Infrastructure on Residential Land Value: Using Spatial Analysis to Uncover Policy-Relevant Processes","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Property value; Residential property; Geography; Value (mathematics); Land Values; Land use; Land value; Public transport; Spatial analysis; Business; Agricultural economics; Transport engineering; Civil engineering; Regional science; Economics; Engineering; Statistics; Finance; Real estate; Mathematics","score_opus":0.027869181984090476,"score_gpt":0.251231196431456,"score_spread":0.22336201444736556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808257419","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19960327,0.00020000995,0.0063236137,0.00035662224,0.00057669514,0.0005634344,0.0014831502,0.00005241548,0.7908408],"genre_scores_gemma":[0.9575377,0.00084973744,0.00030019638,0.00011430493,0.0011953444,0.000004639298,0.00012060603,0.0001225729,0.039754912],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976919,0.000010672426,0.0011185475,0.00062548177,0.000093544266,0.00045981113],"domain_scores_gemma":[0.9979473,0.000109140434,0.0008975638,0.0007067287,0.00015340964,0.00018587899],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00064060016,0.00044858505,0.001055834,0.0012642952,0.00021007715,0.00020515925,0.00050276815,0.00039904425,0.0027694409],"category_scores_gemma":[0.00018455149,0.00035781492,0.00069677597,0.0003577545,0.00015065852,0.00016594303,0.00007856229,0.00025276837,0.00014368969],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021476012,0.00027398946,0.3809549,0.0005914588,0.030232402,0.00003077341,0.0027287407,0.11738286,0.000016735516,0.43200397,0.017713076,0.015923498],"study_design_scores_gemma":[0.0026931555,0.001954664,0.1525017,0.00032517564,0.0019547895,0.000020943518,0.000069379064,0.019578552,0.00009307523,0.54003704,0.2760003,0.004771255],"about_ca_topic_score_codex":0.008066198,"about_ca_topic_score_gemma":0.006570387,"teacher_disagreement_score":0.7579344,"about_ca_system_score_codex":0.000529794,"about_ca_system_score_gemma":0.0005817915,"threshold_uncertainty_score":0.9998874},"labels":[],"label_agreement":null},{"id":"W2810056551","doi":"10.71781/2997","title":"Residential choice and sustainability : comparing people and place performances in sprawled city","year":2017,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Geography; Environmental planning","score_opus":0.04058858658222178,"score_gpt":0.29462232476378564,"score_spread":0.25403373818156383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810056551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8321741,0.00039900324,0.0000012446845,0.00007338653,0.00031652185,0.00038202864,0.000018900027,0.0000012186006,0.16663359],"genre_scores_gemma":[0.99045545,0.0006196869,0.00012334457,0.0000034578736,0.00007761379,0.000019864025,0.0001053388,0.000019390303,0.008575863],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855006,0.000016896107,0.0005333041,0.00061448425,0.00002142082,0.00026386642],"domain_scores_gemma":[0.9989138,0.000077597186,0.00055792445,0.00034788065,0.000030175905,0.00007260111],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010967742,0.00021046729,0.0007323645,0.0001946284,0.0002919807,0.000978066,0.0004076345,0.0002155956,0.00051756384],"category_scores_gemma":[0.00034136686,0.00026470964,0.00003945754,0.000055985063,0.000052054602,0.0007224882,0.00017233043,0.00026517114,0.00003814645],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015058697,0.00003864946,0.9719425,0.00018855193,0.00002434245,0.0000020230939,0.0030841199,0.000026075186,4.796194e-7,0.000103157734,0.00008032872,0.024359213],"study_design_scores_gemma":[0.0009674152,0.000029602734,0.9680162,0.00008066603,0.0000149245825,0.0000017337145,0.0012914274,0.0038521588,0.000016587011,0.0013665508,0.023940982,0.00042174422],"about_ca_topic_score_codex":0.006543895,"about_ca_topic_score_gemma":0.1425347,"teacher_disagreement_score":0.15828134,"about_ca_system_score_codex":0.000154618,"about_ca_system_score_gemma":0.00011379838,"threshold_uncertainty_score":0.9999805},"labels":[],"label_agreement":null},{"id":"W2810614146","doi":"10.5539/ijef.v10n8p43","title":"The Commodity Housing Price Analysis Model--Take Haikou (China) as an Example","year":2018,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; China; Economics; Investment (military); Price index; Commodity; Population; Housing industry; Government (linguistics); Macro; Business; Finance; Econometrics; Politics","score_opus":0.04379361856516,"score_gpt":0.24421399785134026,"score_spread":0.20042037928618026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810614146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97503686,0.00037521825,0.0069720037,0.0012746303,0.0011849329,0.000054004548,0.00005772329,0.000006405958,0.015038218],"genre_scores_gemma":[0.9881354,0.008249837,0.0024676928,0.00030192643,0.000594611,0.0000019115714,0.000007038603,0.000020955797,0.00022063145],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99850464,0.000016765123,0.0009029957,0.00029707418,0.000034401866,0.0002441086],"domain_scores_gemma":[0.9981326,0.000083122075,0.0012272256,0.000303685,0.0001708787,0.00008247983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013249456,0.00015882123,0.000418124,0.00027949936,0.0003058355,0.0004665366,0.0006901323,0.0000853616,0.000034700057],"category_scores_gemma":[0.00006730261,0.00015659077,0.00019944072,0.00012032808,0.00017872402,0.0007104825,0.000109076274,0.00018641066,0.000032713193],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035401495,0.0001602579,0.018925697,0.0000031166428,0.0008918988,0.000009371058,0.0013755128,0.057630252,0.000003674308,0.88229716,0.000561889,0.03778715],"study_design_scores_gemma":[0.000575018,0.00015367755,0.009304671,0.000008771298,0.000036672613,0.000036350542,0.00006573021,0.64957345,0.000029748417,0.18582545,0.15412962,0.00026080137],"about_ca_topic_score_codex":0.00035186854,"about_ca_topic_score_gemma":0.0006872925,"teacher_disagreement_score":0.6964717,"about_ca_system_score_codex":0.00016905052,"about_ca_system_score_gemma":0.00007249796,"threshold_uncertainty_score":0.6385586},"labels":[],"label_agreement":null},{"id":"W2821393491","doi":"10.3390/jrfm11030039","title":"Hedonic Price Function for Residential Area Focusing on the Reasons for Residential Preferences in Japanese Metropolitan Areas","year":2018,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Interpretability; Vulnerability (computing); Hedonic index; Function (biology); Variable (mathematics); Variables; Geography; Explanatory power; Explanatory model; Econometrics; Economics; Price index; Statistics; Computer science; Mathematics","score_opus":0.025768679857107558,"score_gpt":0.2267810338333136,"score_spread":0.20101235397620604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2821393491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9433603,0.00046331345,0.04299803,0.0005935829,0.0017408108,0.00063259574,0.000056826622,0.000008640476,0.010145879],"genre_scores_gemma":[0.99649554,0.0012265425,0.0009625945,0.000097635195,0.0009912105,0.000027207472,0.0000024702922,0.000017185108,0.0001796081],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99867815,0.000029905805,0.00069860945,0.00025095325,0.000052767307,0.00028961943],"domain_scores_gemma":[0.9987563,0.00021830322,0.0007218558,0.00017490659,0.00007408936,0.000054580243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019083269,0.00014388864,0.00034993273,0.00040920122,0.00032116144,0.00015801868,0.00019989003,0.000081404134,0.000034099794],"category_scores_gemma":[0.00048561976,0.0001239317,0.00016238305,0.00017469382,0.00007920325,0.00023246251,0.000053582342,0.00014511799,0.0000075234466],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009600091,0.0005790226,0.06169409,0.0003109913,0.0003572596,0.000016075315,0.0042588906,0.0002229247,0.0000138641235,0.78906786,0.025068406,0.10881051],"study_design_scores_gemma":[0.0045220274,0.0023070227,0.24576595,0.0002868063,0.00022350924,0.000010179395,0.0030754497,0.0013635847,0.00005993778,0.5720199,0.16977474,0.0005909108],"about_ca_topic_score_codex":0.00025709692,"about_ca_topic_score_gemma":0.0008823631,"teacher_disagreement_score":0.217048,"about_ca_system_score_codex":0.00020256099,"about_ca_system_score_gemma":0.0000270742,"threshold_uncertainty_score":0.50537884},"labels":[],"label_agreement":null},{"id":"W2883207386","doi":"10.3386/w24826","title":"Sorting or Steering: The Effects of Housing Discrimination on Neighborhood Choice","year":2018,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Sorting; Computer science; Business; Transport engineering; Engineering; Algorithm","score_opus":0.26942357232774683,"score_gpt":0.4331240811286967,"score_spread":0.16370050880094988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883207386","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4623443,0.00046014102,0.00025781663,0.0011127287,0.0025157013,0.0013514919,0.00012862032,0.00003740705,0.5317918],"genre_scores_gemma":[0.99753803,0.00045143074,0.00023776083,0.00004339589,0.00095485034,0.00008739138,0.00007781362,0.00006628177,0.000543042],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99705523,0.00011686753,0.0014206786,0.000735098,0.00020270798,0.00046944228],"domain_scores_gemma":[0.99463326,0.0029763235,0.0013231485,0.00065316795,0.00033356834,0.00008055409],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0044389274,0.0002794834,0.00074945105,0.00091615284,0.00023234711,0.00016033127,0.0009490242,0.00037316352,0.00025322972],"category_scores_gemma":[0.0038181895,0.0002587955,0.00025723834,0.00018988525,0.00037299178,0.00020007067,0.0006549002,0.000805474,0.0001761462],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025681924,0.000281834,0.014679856,0.0014898191,0.00036959292,0.0000016648196,0.00084898825,0.004863428,0.00007827711,0.9686128,0.0033265534,0.0051903874],"study_design_scores_gemma":[0.00091126043,0.00039177094,0.0073929783,0.00055558357,0.0000192231,0.0000015957427,0.00010373081,0.03213349,0.0014027705,0.95542157,0.0012159965,0.00045002223],"about_ca_topic_score_codex":0.0008095583,"about_ca_topic_score_gemma":0.00018871941,"teacher_disagreement_score":0.53519374,"about_ca_system_score_codex":0.0010099604,"about_ca_system_score_gemma":0.00044662002,"threshold_uncertainty_score":0.9999864},"labels":[],"label_agreement":null},{"id":"W2883216202","doi":"","title":"Commodity Prices and Investment in Structures","year":2011,"lang":"en","type":"article","venue":"Economic Trends","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Falling (accident); Investment (military); Fell; Commodity; Business; Economics; Agricultural economics; Finance; Geography; Medicine; Cartography","score_opus":0.05209331300849916,"score_gpt":0.21357528299318845,"score_spread":0.16148196998468928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883216202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5625845,0.00019151188,0.000010225577,0.000059721784,0.00028794553,0.00003095434,0.00003817668,0.00002121518,0.4367757],"genre_scores_gemma":[0.99793845,0.00016017577,0.00093961146,0.00021491968,0.00007298743,0.000011597691,0.000012181543,0.000020538902,0.00062955054],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988449,0.00000874568,0.0004979124,0.00038046148,0.0000066342513,0.0002613251],"domain_scores_gemma":[0.9994118,0.000021827673,0.00020816238,0.00026553267,0.000001970457,0.000090667825],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00031292794,0.00015444767,0.0003535136,0.00035268607,0.000052348092,0.00005215038,0.00017292735,0.00009126171,0.001722904],"category_scores_gemma":[0.0000084409085,0.00019074517,0.00005327136,0.000058729693,0.00008121788,0.00027483053,0.000061929066,0.0001104584,0.00022710706],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032138592,0.000053012733,0.3640342,0.000012557088,0.000034803805,0.0000037245454,0.0022174432,0.000027941393,9.990524e-7,0.6203797,0.0016207697,0.011582721],"study_design_scores_gemma":[0.00080263725,0.000053252545,0.67175245,0.000004613106,0.0000037675968,0.000005620259,0.00009283079,0.0016119571,0.00004002082,0.269103,0.05615244,0.00037742025],"about_ca_topic_score_codex":0.0008842149,"about_ca_topic_score_gemma":0.0009151315,"teacher_disagreement_score":0.43614617,"about_ca_system_score_codex":0.00016041573,"about_ca_system_score_gemma":0.000011831497,"threshold_uncertainty_score":0.9991897},"labels":[],"label_agreement":null},{"id":"W2883244865","doi":"","title":"U.S. Real Estate: Looking for Progress in Price Stability and Financing","year":2009,"lang":"en","type":"article","venue":"Economic Trends","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Boom; Real estate; Quarter (Canadian coin); Index (typography); Economics; Price index; Interest rate; Financial stability; Finance; Financial economics; Macroeconomics; Geography; Financial system; Engineering","score_opus":0.021750148563481227,"score_gpt":0.23723938028475447,"score_spread":0.21548923172127324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883244865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8151556,0.00014554591,0.00007072412,0.0005893528,0.00027584075,0.00013623766,0.0000671631,0.000046333345,0.1835132],"genre_scores_gemma":[0.99722594,0.000725173,0.0015102642,0.0000585358,0.00012763705,0.00003131293,0.00002198841,0.000024605119,0.00027455352],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99822545,0.00000947939,0.0007230352,0.00058571156,0.000008860614,0.00044746563],"domain_scores_gemma":[0.99926543,0.000072464005,0.00028442906,0.0002850127,0.0000064595615,0.00008620895],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00085874647,0.00018899911,0.0004817714,0.0003117503,0.00009180782,0.00011887689,0.00015446956,0.00015549269,0.00015165891],"category_scores_gemma":[0.000023021403,0.0002520082,0.00008831748,0.00009226118,0.0000609668,0.00037676873,0.0000278569,0.00015440158,0.00003333924],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012958409,0.00011224435,0.4619756,0.000045193403,0.000019562827,0.0000031755935,0.0016085267,0.000111761314,0.000005116417,0.03854628,0.00044955447,0.4969934],"study_design_scores_gemma":[0.0029005427,0.00028907275,0.8745906,0.000029457544,0.00000862909,0.000008580799,0.00016933004,0.030764664,0.000102272454,0.03381957,0.05642161,0.0008956659],"about_ca_topic_score_codex":0.00014342836,"about_ca_topic_score_gemma":0.00038937287,"teacher_disagreement_score":0.4960977,"about_ca_system_score_codex":0.0003920554,"about_ca_system_score_gemma":0.00003300867,"threshold_uncertainty_score":0.9999932},"labels":[],"label_agreement":null},{"id":"W2883484387","doi":"","title":"Where Does the Mortgage Market Go from Here","year":2010,"lang":"en","type":"article","venue":"Economic Trends","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mortgage insurance; Quarter (Canadian coin); Shared appreciation mortgage; Mortgage underwriting; Business; Loan-to-value ratio; Collateralized mortgage obligation; Secondary mortgage market; Loan; Payment; Commercial mortgage-backed security; Finance; Financial system; Monetary economics; Economics; Insurance policy; General insurance","score_opus":0.011771331961111584,"score_gpt":0.19851166926389355,"score_spread":0.18674033730278197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883484387","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44505998,0.0002323048,0.000013644313,0.0018338022,0.0033770045,0.000057225363,0.0004515638,0.00007999592,0.54889446],"genre_scores_gemma":[0.95161855,0.00042730986,0.00040881376,0.00029734208,0.0013494988,0.000031930518,0.000055515542,0.000076349104,0.045734663],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980602,0.000020721021,0.00076054625,0.0006695177,0.000017822842,0.00047113892],"domain_scores_gemma":[0.99822813,0.00017046605,0.0004089789,0.0010410631,0.0000069891034,0.00014438332],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00067039375,0.00029281652,0.0005034266,0.00017539311,0.0002509091,0.0003181744,0.0007139379,0.00022443991,0.03971749],"category_scores_gemma":[0.000032435964,0.00024619285,0.0002645994,0.000084726875,0.00015721603,0.00038013436,0.000111983376,0.0004988558,0.004859887],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011765681,0.00015510658,0.45147687,0.000026092377,0.00042700325,0.000015491181,0.0011737547,0.00010161819,0.00007786699,0.10074858,0.29458702,0.15109293],"study_design_scores_gemma":[0.00057259924,0.000013541041,0.08585081,0.000005376929,0.000011754023,0.0000053802023,0.00010618281,0.0036335841,0.000035563593,0.028929876,0.88038766,0.00044768056],"about_ca_topic_score_codex":0.001207827,"about_ca_topic_score_gemma":0.008668394,"teacher_disagreement_score":0.58580065,"about_ca_system_score_codex":0.00012630573,"about_ca_system_score_gemma":0.000028435665,"threshold_uncertainty_score":0.99999905},"labels":[],"label_agreement":null},{"id":"W2883498931","doi":"","title":"Mortgage Originations—A Mixed Bag","year":2011,"lang":"de","type":"article","venue":"Economic Trends","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Geography","score_opus":0.04709904037674006,"score_gpt":0.21933299723031213,"score_spread":0.17223395685357207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883498931","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12793806,0.0026398848,0.00023810944,0.00035794132,0.016355272,0.0001569448,0.00081981166,0.0001750818,0.8513189],"genre_scores_gemma":[0.94398034,0.003531107,0.0021011033,0.00022609076,0.0019748516,0.000052294596,0.00023997684,0.00020443913,0.047689795],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956621,0.0000532113,0.0018735627,0.0013340304,0.00003159194,0.0010455273],"domain_scores_gemma":[0.9971173,0.00009276941,0.0010781345,0.0012841282,0.00002352567,0.00040415104],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011262548,0.00063807063,0.0011691656,0.0012185003,0.0003501346,0.00029491223,0.00085399614,0.00048144098,0.03416754],"category_scores_gemma":[0.00004629751,0.0009264792,0.0005763359,0.00028962424,0.00022390296,0.0008362052,0.0001667983,0.00046423686,0.040420994],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022340086,0.00086566445,0.15970463,0.00011411023,0.0015952135,0.000065822605,0.0047447975,0.00037417817,0.0000027361348,0.5845392,0.11114997,0.1366203],"study_design_scores_gemma":[0.0017321978,0.00018066529,0.054634478,0.00002551893,0.00011727947,0.00001022657,0.00012538851,0.010119371,0.000094253366,0.022036199,0.9094577,0.0014667471],"about_ca_topic_score_codex":0.00077581464,"about_ca_topic_score_gemma":0.0004001961,"teacher_disagreement_score":0.8160423,"about_ca_system_score_codex":0.0009586506,"about_ca_system_score_gemma":0.0001364174,"threshold_uncertainty_score":0.9993186},"labels":[],"label_agreement":null},{"id":"W2883693881","doi":"","title":"Mortgage Market Continues to Struggle","year":2011,"lang":"en","type":"article","venue":"Economic Trends","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Pace; Economics; Financial system; Business; Monetary economics; Geography","score_opus":0.04175610925487846,"score_gpt":0.21239495954099666,"score_spread":0.1706388502861182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883693881","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19379486,0.0000908992,0.00012443715,0.00016130372,0.0011686493,0.00007205749,0.00018341448,0.00011069753,0.8042937],"genre_scores_gemma":[0.9216704,0.00006664189,0.0019482874,0.00036033246,0.00031122,0.00003539102,0.000021768128,0.00006991889,0.07551604],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980339,0.000013999884,0.00077944767,0.00063859916,0.000013078253,0.0005209766],"domain_scores_gemma":[0.9988197,0.000031911706,0.00027879252,0.00061246206,0.000007779641,0.00024932728],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005638944,0.00025478148,0.00055185263,0.0005018432,0.0001056362,0.000098589924,0.00043284972,0.00012313826,0.030525388],"category_scores_gemma":[0.00002783001,0.000337767,0.0001931798,0.00012033338,0.000054817952,0.00034387546,0.00009693172,0.00013157832,0.0077963276],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025376474,0.00023763986,0.24160318,0.000026066933,0.0002813932,0.00002511217,0.004504231,0.0000627609,0.000012071739,0.18430854,0.47845206,0.090233155],"study_design_scores_gemma":[0.0007091804,0.00011792924,0.1435657,0.000008494355,0.000009458885,0.000009029943,0.00011375031,0.0010343263,0.00010872001,0.020163007,0.8334385,0.0007218899],"about_ca_topic_score_codex":0.00053636456,"about_ca_topic_score_gemma":0.00033048235,"teacher_disagreement_score":0.72877765,"about_ca_system_score_codex":0.00022613307,"about_ca_system_score_gemma":0.000017765859,"threshold_uncertainty_score":0.99990743},"labels":[],"label_agreement":null},{"id":"W2884351156","doi":"10.3390/jrfm11030042","title":"Housing Market Bubbles and Mortgage Contract Design: Implications for Mortgage Lenders and Households","year":2018,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Prepayment of loan; Mortgage insurance; Mortgage underwriting; Maturity (psychological); Commercial mortgage-backed security; Business; Amortization; Collateralized mortgage obligation; Shared appreciation mortgage; Secondary mortgage market; Monetary economics; Finance; Economics; Financial system; Loan; Insurance policy","score_opus":0.0359768089019925,"score_gpt":0.22994114251182718,"score_spread":0.19396433360983467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884351156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6475306,0.0021654775,0.34353235,0.00041578276,0.0004464479,0.00042064337,0.00009826811,0.000017370969,0.005373054],"genre_scores_gemma":[0.9703758,0.016347807,0.012720705,0.0001639557,0.0002913696,0.000008464665,9.860986e-7,0.00002373672,0.00006719266],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99890363,0.00001899697,0.00057449524,0.00024319538,0.000022350132,0.00023735037],"domain_scores_gemma":[0.99903566,0.00012557684,0.00055662455,0.00013737498,0.000041076826,0.00010367773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013780997,0.00014829464,0.00038530192,0.00021445384,0.00033082967,0.00015694114,0.00009906933,0.00007846774,0.000013181924],"category_scores_gemma":[0.00011558942,0.00015889644,0.00006991602,0.00008419647,0.00013647036,0.0002818726,0.00006594166,0.00011652253,0.0000014498632],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006687965,0.00017610758,0.32141855,0.00020240399,0.00020490521,0.00001772721,0.0014635854,0.00007165522,0.00002138623,0.07145647,0.009143054,0.59515536],"study_design_scores_gemma":[0.0023270438,0.00042267557,0.77858347,0.00005850237,0.00013616253,0.000034234057,0.00021030362,0.001661646,0.000017296281,0.08912419,0.12703018,0.0003943267],"about_ca_topic_score_codex":0.000039828574,"about_ca_topic_score_gemma":0.000039819963,"teacher_disagreement_score":0.594761,"about_ca_system_score_codex":0.000043235716,"about_ca_system_score_gemma":0.00001502162,"threshold_uncertainty_score":0.64796084},"labels":[],"label_agreement":null},{"id":"W2884465550","doi":"","title":"Mortgage Delinquencies in Fourth District Metropolitan Areas","year":2008,"lang":"en","type":"article","venue":"Economic Trends","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Foreclosure; Quarter (Canadian coin); Juvenile delinquency; Metropolitan area; Falling (accident); Economics; Mortgage insurance; Actuarial science; Finance; Geography; Criminology; Sociology","score_opus":0.04175611951756878,"score_gpt":0.22496727262038763,"score_spread":0.18321115310281885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884465550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5546838,0.00033676173,0.00013500956,0.00023298139,0.00054166827,0.000044204797,0.00012064927,0.000061937644,0.44384298],"genre_scores_gemma":[0.9914293,0.0008460324,0.00053320476,0.000129429,0.00027494118,0.000023281416,0.000059583475,0.000053141954,0.0066510476],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99770993,0.000019186022,0.0010317054,0.00062748994,0.000019676445,0.0005920328],"domain_scores_gemma":[0.99889004,0.000066454355,0.00033513663,0.000536953,0.0000073924066,0.00016400513],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00045055858,0.00027953193,0.0006755812,0.0008396283,0.00015580298,0.00006350102,0.00036824204,0.0001466592,0.0022192888],"category_scores_gemma":[0.000051189105,0.00036288786,0.00022888744,0.00024336463,0.0001510034,0.0004299962,0.00006337432,0.0002221474,0.0018670468],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044705677,0.00014087807,0.84843516,0.000014015327,0.00008050008,0.00006707827,0.00066365075,0.0010193104,0.0000023454943,0.12938628,0.011684038,0.008462066],"study_design_scores_gemma":[0.002851564,0.00015018162,0.70490557,0.00001903237,0.000013905943,0.00012821888,0.0004725666,0.020191094,0.00006512332,0.03154067,0.23802061,0.0016414407],"about_ca_topic_score_codex":0.001984854,"about_ca_topic_score_gemma":0.001149071,"teacher_disagreement_score":0.43719193,"about_ca_system_score_codex":0.0013904126,"about_ca_system_score_gemma":0.000054860353,"threshold_uncertainty_score":0.9998823},"labels":[],"label_agreement":null},{"id":"W2884568214","doi":"10.3390/jrfm11030041","title":"Bidding Behavior in the Housing Market under Different Market Regimes","year":2018,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bidding; Real estate; Common value auction; Norwegian; Homogeneous; Economics; Business; Microeconomics; Finance","score_opus":0.018741696292391946,"score_gpt":0.2143596150810223,"score_spread":0.19561791878863036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884568214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92818725,0.00059714814,0.0064792256,0.0002335977,0.00090222154,0.00017196043,0.000010994906,0.000006250459,0.063411325],"genre_scores_gemma":[0.9931483,0.0052787615,0.0006132229,0.00022545806,0.00043434039,0.000005469635,4.455477e-7,0.00001531709,0.00027863003],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99879307,0.000045712655,0.0006652229,0.00019046935,0.000051901337,0.0002536179],"domain_scores_gemma":[0.99912447,0.00008020337,0.0005381885,0.00018810466,0.000021394195,0.00004762661],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016471506,0.0001449666,0.0003475272,0.00038384448,0.00017561603,0.00014550569,0.0002472072,0.00006678705,0.00017915624],"category_scores_gemma":[0.000064111206,0.00011906425,0.00011415921,0.00017793401,0.00008584416,0.00018757094,0.00008714989,0.00021764923,0.000009996689],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005292571,0.00045541697,0.5970942,0.0000769225,0.00006376333,0.00013262116,0.0021324058,0.000028076434,0.0000012870595,0.06171561,0.019251736,0.31851876],"study_design_scores_gemma":[0.0008244414,0.00015244685,0.87467396,0.00005437353,0.00004446887,0.000016979602,0.00054245675,0.00037344114,0.0000022536735,0.02458072,0.09853882,0.00019565634],"about_ca_topic_score_codex":0.00004500934,"about_ca_topic_score_gemma":0.00010551094,"teacher_disagreement_score":0.3183231,"about_ca_system_score_codex":0.00008782734,"about_ca_system_score_gemma":0.000008314703,"threshold_uncertainty_score":0.4855299},"labels":[],"label_agreement":null},{"id":"W2884609098","doi":"","title":"Who Cares about Mortgage Interest Deductibility","year":2005,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Actuarial science","score_opus":0.05986652243495419,"score_gpt":0.2990068115389139,"score_spread":0.2391402891039597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884609098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6184668,0.00022972176,0.0000053327203,0.0004870105,0.00037181182,0.000250733,0.00004055328,0.00004069678,0.38010737],"genre_scores_gemma":[0.9888201,0.0058059497,0.00051972753,0.00020160084,0.0005277072,0.00006341255,0.000019775018,0.0000791383,0.003962622],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99644583,0.0000897536,0.001237544,0.0010849899,0.000047166126,0.0010947372],"domain_scores_gemma":[0.9980108,0.00028465112,0.00025976636,0.0011116997,0.000053041374,0.00028000254],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003112945,0.00029690476,0.0007165373,0.00067216984,0.0002545535,0.00026278294,0.00071977807,0.00027290956,0.00092236046],"category_scores_gemma":[0.0005960765,0.00038419015,0.00021250173,0.00023323127,0.00038213382,0.00056924537,0.00032470483,0.0008395317,0.0005030991],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023356518,0.00064748264,0.3196793,0.00013607353,0.0001412721,0.000029735733,0.0020669815,0.004410293,0.000062097206,0.084722795,0.0015179786,0.5863524],"study_design_scores_gemma":[0.0019891304,0.00020671777,0.066890575,0.00010485673,0.0000060036673,0.000028607119,0.0011542173,0.0393881,0.00052755274,0.018221278,0.8700727,0.0014102376],"about_ca_topic_score_codex":0.00022055137,"about_ca_topic_score_gemma":0.0026488772,"teacher_disagreement_score":0.8685548,"about_ca_system_score_codex":0.0013804124,"about_ca_system_score_gemma":0.00012737993,"threshold_uncertainty_score":0.99999094},"labels":[],"label_agreement":null},{"id":"W2884757793","doi":"","title":"Shadow Inventory Still Weighing on Ohio Housing Prices","year":2011,"lang":"en","type":"article","venue":"Economic Trends","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economics; Agency (philosophy); Shadow (psychology); State (computer science); Demographic economics; Agricultural economics; Geography; Mathematics; Sociology; Archaeology; Psychology","score_opus":0.05917087161318787,"score_gpt":0.2160420080749967,"score_spread":0.15687113646180884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884757793","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33254153,0.00014630887,0.00009955074,0.000093832045,0.0018389514,0.00005181807,0.00004668726,0.00012608978,0.6650552],"genre_scores_gemma":[0.99432516,0.0001687029,0.0008281691,0.00033525086,0.00050305296,0.000017036855,0.000020311358,0.00008568514,0.0037166066],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99782133,0.000014972263,0.0008435085,0.00073940906,0.000020087979,0.0005607063],"domain_scores_gemma":[0.9986244,0.00004320484,0.00054848194,0.0005929908,0.0000071258833,0.00018383838],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00059756153,0.00031680983,0.0005634649,0.0006654926,0.00015433754,0.0001345957,0.00044161707,0.00017476456,0.0052600764],"category_scores_gemma":[0.000023554272,0.0004047045,0.00023536716,0.00011711968,0.00008704744,0.0005503282,0.000081698985,0.00023808857,0.0045996956],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023698814,0.00043750397,0.17838067,0.000058488306,0.0003619527,0.000030558935,0.0064594713,0.000766647,0.0000073793876,0.72609293,0.014216078,0.07295134],"study_design_scores_gemma":[0.003216167,0.00054629875,0.12730388,0.000100020174,0.000050936997,0.000016709162,0.00035156595,0.024962679,0.00035665723,0.104787596,0.7353605,0.0029469754],"about_ca_topic_score_codex":0.00044572237,"about_ca_topic_score_gemma":0.00027935926,"teacher_disagreement_score":0.72114444,"about_ca_system_score_codex":0.0004912867,"about_ca_system_score_gemma":0.000032239008,"threshold_uncertainty_score":0.9998405},"labels":[],"label_agreement":null},{"id":"W2884860784","doi":"","title":"Where's the Spillover from Housing?","year":2008,"lang":"en","type":"article","venue":"Economic Trends","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economics; Investment (military); Fell; Argument (complex analysis); Spillover effect; Labour economics; Economy; Demographic economics; Macroeconomics; Geography; Political science","score_opus":0.02745053222785977,"score_gpt":0.1989243792674509,"score_spread":0.17147384703959115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884860784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5007199,0.00087003957,0.00009066105,0.0011452568,0.0015561769,0.00004463234,0.00016874571,0.00008243929,0.49532217],"genre_scores_gemma":[0.9841273,0.0011343245,0.00029605336,0.000499076,0.0008942289,0.000012676665,0.000032088188,0.00006139096,0.012942895],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99834585,0.000014993961,0.0006686106,0.00054393196,0.000017377002,0.00040920518],"domain_scores_gemma":[0.9987517,0.00008715004,0.0003433975,0.00070745696,0.000005757649,0.00010453493],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002894397,0.00023667491,0.00045534046,0.0001839718,0.00032055387,0.000105245235,0.00046743997,0.00013233224,0.007798103],"category_scores_gemma":[0.000015757765,0.00023528731,0.00024102043,0.00009965768,0.00018103003,0.00032149613,0.00007834324,0.00019507423,0.00770403],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000114932205,0.00018397708,0.52664965,0.0000123477785,0.0004532367,0.000041530082,0.0029459947,0.0020066078,0.000013272328,0.09442077,0.3368585,0.03629914],"study_design_scores_gemma":[0.00075691665,0.00002901215,0.09523911,0.000005711511,0.000008733322,0.0000144326295,0.000045674737,0.0028446997,0.00002931736,0.012271248,0.8882922,0.00046294084],"about_ca_topic_score_codex":0.0014137407,"about_ca_topic_score_gemma":0.0006551263,"teacher_disagreement_score":0.5514337,"about_ca_system_score_codex":0.00026902623,"about_ca_system_score_gemma":0.00003406066,"threshold_uncertainty_score":0.9931089},"labels":[],"label_agreement":null},{"id":"W2884947385","doi":"","title":"Recent Changes in Household Net Worth","year":2010,"lang":"en","type":"article","venue":"Economic Trends","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Net worth; Net asset value; Quarter (Canadian coin); Economics; Return on assets; Falling (accident); Net income; Value (mathematics); Business; Agricultural economics; Labour economics; Finance; Geography; Statistics; Mathematics; Profitability index","score_opus":0.03482220461052933,"score_gpt":0.21175515412554707,"score_spread":0.17693294951501776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884947385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5797055,0.00015496874,0.0000039770553,0.0014668066,0.0022097996,0.00005030802,0.00010703006,0.000068970265,0.41623268],"genre_scores_gemma":[0.9914524,0.0016683104,0.00030248018,0.0003649655,0.0005934664,0.000032051787,0.000046660505,0.00006460452,0.005475079],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982838,0.00000873358,0.0006257886,0.0005716559,0.000011743241,0.0004982703],"domain_scores_gemma":[0.9989941,0.00003977303,0.00028060115,0.00054614904,0.000003961727,0.00013537824],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006187343,0.00022277726,0.00048340845,0.0006478484,0.00006535107,0.00011937618,0.0003377476,0.00019142457,0.006144822],"category_scores_gemma":[0.000025039706,0.00029572623,0.000092610535,0.00016519504,0.00006449281,0.0002360042,0.00006192955,0.00036199778,0.0012763932],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006449782,0.00018469014,0.48863745,0.000013756883,0.00005877485,0.000014301023,0.00057341653,0.00059518794,0.000044921384,0.099348776,0.020373259,0.39009097],"study_design_scores_gemma":[0.000752796,0.000031450072,0.10097787,0.0000039613988,0.0000025159422,0.0000070674046,0.00001958905,0.0016950064,0.000057097703,0.006732153,0.88930243,0.00041806998],"about_ca_topic_score_codex":0.00026639475,"about_ca_topic_score_gemma":0.014276696,"teacher_disagreement_score":0.86892915,"about_ca_system_score_codex":0.000200057,"about_ca_system_score_gemma":0.000027724129,"threshold_uncertainty_score":0.9999495},"labels":[],"label_agreement":null},{"id":"W2884995382","doi":"","title":"The Toledo Metropolitan Statistical Area","year":2015,"lang":"en","type":"article","venue":"Economic Trends","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Geography; Statistical analysis; Population; Socioeconomics; Agricultural economics; Demography; Statistics; Economics; Archaeology; Sociology; Mathematics","score_opus":0.04869037150122217,"score_gpt":0.24535857356254506,"score_spread":0.1966682020613229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884995382","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047495373,0.00063111173,0.00068309886,0.0013580434,0.002336848,0.000053245603,0.00022285231,0.00008232848,0.9471371],"genre_scores_gemma":[0.9793672,0.000279371,0.0005813677,0.00017300689,0.0004966396,0.000023688413,0.00004665362,0.000050783405,0.018981306],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983211,0.000020448064,0.00070791616,0.00042459054,0.000020164733,0.0005057693],"domain_scores_gemma":[0.99874634,0.00016151044,0.00024975283,0.00054719456,0.000011824922,0.0002833798],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009354334,0.00019619185,0.00039397107,0.00018386409,0.00020481135,0.00026491602,0.00040012936,0.00009391076,0.001220533],"category_scores_gemma":[0.00009261132,0.00018963066,0.00012433263,0.00008844438,0.0001674771,0.00021238228,0.00005280857,0.00015493926,0.0044312524],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040995943,0.000037527778,0.01354618,0.000001868672,0.00006317751,0.0000031965785,0.00016616592,0.00011972244,1.4298575e-7,0.8483898,0.119032465,0.018598728],"study_design_scores_gemma":[0.0006017919,0.00008016139,0.0034185795,0.0000014596923,0.0000061398005,0.000006678475,0.00025064815,0.008548513,0.0000041403036,0.12489218,0.86190724,0.0002824334],"about_ca_topic_score_codex":0.00036838147,"about_ca_topic_score_gemma":0.0004565123,"teacher_disagreement_score":0.93187183,"about_ca_system_score_codex":0.0010145787,"about_ca_system_score_gemma":0.000052720974,"threshold_uncertainty_score":0.9996925},"labels":[],"label_agreement":null},{"id":"W2885003253","doi":"","title":"Covariance Risk and the Ripple Effect in the UK Regional Housing Market","year":2018,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Covariance; Econometrics; Economics; House price; Ripple; Market risk; Autoregressive conditional heteroskedasticity; Financial economics; Statistics; Mathematics; Engineering","score_opus":0.017452292779447508,"score_gpt":0.21167497358833834,"score_spread":0.19422268080889082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885003253","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6743682,0.28790528,0.0002849994,0.003324589,0.00045308046,0.0010014673,0.0001079796,0.000008111522,0.032546278],"genre_scores_gemma":[0.40350032,0.5950881,0.00029909387,0.00093203614,0.00011248181,0.00002642657,0.0000022495253,0.000011389204,0.000027874046],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99854034,0.00009513073,0.00074984465,0.00037008946,0.000013409789,0.00023118143],"domain_scores_gemma":[0.9983559,0.00046276092,0.0006985938,0.0004429582,0.000018016932,0.000021734188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046555563,0.000176352,0.000715505,0.00006246046,0.00018184379,0.00006723521,0.0002920803,0.000061004474,0.000039353865],"category_scores_gemma":[0.00021792369,0.0001307798,0.00011366234,0.00013985112,0.00053617434,0.00013162963,0.000081927785,0.0001835882,0.000021174876],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003227796,0.000050494426,0.06047398,0.0016105941,0.000059941012,0.0000014907544,0.0006550028,0.000033979857,2.2103495e-7,0.7890275,0.0073343297,0.14042968],"study_design_scores_gemma":[0.0026678587,0.00015672104,0.04137508,0.0015946928,0.000045490226,0.000025492276,0.000026382044,0.017444298,0.0000038233975,0.12665616,0.80951715,0.00048682693],"about_ca_topic_score_codex":0.00022036591,"about_ca_topic_score_gemma":0.00016172967,"teacher_disagreement_score":0.80218285,"about_ca_system_score_codex":0.00003233174,"about_ca_system_score_gemma":0.000022297489,"threshold_uncertainty_score":0.5333045},"labels":[],"label_agreement":null},{"id":"W2885129684","doi":"10.1111/caje.12338","title":"How important are wealth effects on consumption in Canada?","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Canada Mortgage and Housing Corporation; University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Consumption (sociology); Identification (biology); Marginal propensity to consume; Economics; Econometrics; Extension (predicate logic); Econometric model; Microeconomics; Monetary economics; Computer science","score_opus":0.09301786675240407,"score_gpt":0.17156678620341265,"score_spread":0.07854891945100857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885129684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872461,0.00037201535,0.000025724814,0.0044327914,0.004009366,0.00027880812,0.00026101444,0.0000057373727,0.0033684347],"genre_scores_gemma":[0.99628717,0.00042372837,0.00015792591,0.0017467361,0.0010461794,0.00001227342,0.000010784367,0.0000763143,0.00023888859],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996752,0.000044655077,0.0015228044,0.0005550021,0.0000022120687,0.0011232967],"domain_scores_gemma":[0.9956988,0.00018341013,0.0018739563,0.0005175602,0.00008520482,0.001641048],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011067458,0.00037722953,0.0011197571,0.0011984464,0.00018321334,0.00023037686,0.00059318217,0.00021243737,0.0002651537],"category_scores_gemma":[0.00040417485,0.00051316974,0.0001889483,0.00016126182,0.00014540157,0.0004920318,0.000020587277,0.00048246045,0.000074999996],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000110118766,0.0000153803,0.7448096,0.000088477194,0.00010332122,0.00033197904,0.0004935627,0.00033797565,0.0000021029,0.24838741,0.0020571924,0.0032628523],"study_design_scores_gemma":[0.005818522,0.0018876021,0.2601372,0.0008369477,0.000055128094,0.0007894065,0.001463676,0.012790025,0.00054078485,0.5115142,0.20099513,0.0031713673],"about_ca_topic_score_codex":0.95580393,"about_ca_topic_score_gemma":0.99995685,"teacher_disagreement_score":0.48467243,"about_ca_system_score_codex":0.010567724,"about_ca_system_score_gemma":0.0037129875,"threshold_uncertainty_score":0.999732},"labels":[],"label_agreement":null},{"id":"W2885692319","doi":"","title":"Foreclosures in Ohio","year":2007,"lang":"en","type":"article","venue":"Economic Trends","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Foreclosure; Quarter (Canadian coin); Loan; Business; Juvenile delinquency; Actuarial science; Financial system; Finance; Geography; Criminology; Psychology","score_opus":0.024207879577797145,"score_gpt":0.22777541507762786,"score_spread":0.2035675354998307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885692319","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.357339,0.00015784183,0.00015206655,0.00023798057,0.00076731225,0.000032276446,0.000024757992,0.000041456984,0.6412473],"genre_scores_gemma":[0.99078536,0.00009264604,0.00042649658,0.0001529221,0.0003028767,0.0000065805298,0.00001903475,0.000038059086,0.008176041],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99815154,0.000005789554,0.00086763204,0.00044516902,0.000010043667,0.00051980757],"domain_scores_gemma":[0.99924254,0.00006592207,0.00023737308,0.0003419477,0.00000322351,0.00010899158],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012781451,0.00017532308,0.00041492237,0.0007606998,0.000054265776,0.00006155188,0.00024831775,0.00013801634,0.0023169797],"category_scores_gemma":[0.000019705218,0.00023749631,0.00013702917,0.00014519396,0.00005056967,0.00027366113,0.000038527094,0.00014490553,0.0022197908],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007825407,0.00008746022,0.50901544,0.000010280505,0.00003933738,0.000017434857,0.0005297406,0.00038441407,0.0000047177596,0.40517598,0.007221167,0.077435784],"study_design_scores_gemma":[0.0012759089,0.00005232317,0.37280327,0.000007884235,0.0000027262333,0.0000102655995,0.00006364662,0.0019569895,0.00008981061,0.042102877,0.58108413,0.00055014197],"about_ca_topic_score_codex":0.00026690614,"about_ca_topic_score_gemma":0.003370017,"teacher_disagreement_score":0.63344634,"about_ca_system_score_codex":0.00043010295,"about_ca_system_score_gemma":0.000016438595,"threshold_uncertainty_score":0.99859506},"labels":[],"label_agreement":null},{"id":"W2886276750","doi":"","title":"Foreclosures in Ohio","year":2010,"lang":"en","type":"article","venue":"Economic Trends","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Foreclosure; Quarter (Canadian coin); Loan; Actuarial science; Economics; Demographic economics; Business; Financial system; Finance; Geography","score_opus":0.017580731199697785,"score_gpt":0.21330291482267755,"score_spread":0.19572218362297977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886276750","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46297503,0.000037398564,0.000010663096,0.00041004352,0.0013343123,0.000027092914,0.000036141817,0.00003652535,0.53513277],"genre_scores_gemma":[0.9912034,0.000057089088,0.00048051856,0.00012047664,0.00036523805,0.000018954903,0.000020844343,0.000038897007,0.00769456],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998471,0.0000059606427,0.00066544604,0.00045591415,0.000008531761,0.00039312066],"domain_scores_gemma":[0.9992102,0.00004269799,0.00020962341,0.0004343485,0.0000032067642,0.00009992717],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005615981,0.00017374296,0.00040176723,0.0005503542,0.000057198173,0.00009102979,0.00029899334,0.00016485137,0.0056944243],"category_scores_gemma":[0.00002644449,0.00023051862,0.00013411598,0.000105146406,0.00006468757,0.0003018733,0.000042536438,0.00028208102,0.002940497],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028362057,0.00007688353,0.40115455,0.000007591893,0.000028058806,0.0000058113533,0.00032828873,0.00018960201,0.000030054121,0.5497284,0.008396539,0.04002585],"study_design_scores_gemma":[0.0010807288,0.000034285444,0.20578866,0.000003826754,0.000002501391,0.000011300223,0.000020606554,0.0050320122,0.00008269826,0.06199675,0.7254303,0.00051632966],"about_ca_topic_score_codex":0.00027223415,"about_ca_topic_score_gemma":0.005327808,"teacher_disagreement_score":0.71703374,"about_ca_system_score_codex":0.0001321702,"about_ca_system_score_gemma":0.000022772938,"threshold_uncertainty_score":0.9978358},"labels":[],"label_agreement":null},{"id":"W2886885498","doi":"","title":"Mortgage Market Struggles to Gain Footing","year":2011,"lang":"en","type":"article","venue":"Economic Trends","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Interest rate; Market share; Business; Economics; Monetary economics; Finance; Geography","score_opus":0.05207138920031731,"score_gpt":0.21719388234094894,"score_spread":0.16512249314063163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886885498","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26028863,0.00008615341,0.00026083266,0.00012375896,0.0009622154,0.0000680324,0.00015012888,0.000108253225,0.737952],"genre_scores_gemma":[0.97936314,0.00004590432,0.003168377,0.00040924453,0.000341185,0.000031234587,0.000016421194,0.00007944946,0.016545033],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977898,0.000017622913,0.00089726737,0.0006922155,0.000014248649,0.00058883463],"domain_scores_gemma":[0.9987601,0.000046397734,0.0003350187,0.0005970171,0.000006867807,0.00025458066],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008057447,0.0002759373,0.00054429256,0.00058570656,0.00014041101,0.000107432264,0.00044835298,0.00012909377,0.018391471],"category_scores_gemma":[0.000042394342,0.00037053865,0.0002041401,0.00013987366,0.000048879676,0.00033222447,0.00011641494,0.00015361274,0.004662078],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002791009,0.00026858135,0.40756255,0.00005085908,0.00036146288,0.000031449115,0.0076829283,0.00046791707,0.000015590853,0.25603956,0.13668643,0.1905536],"study_design_scores_gemma":[0.0017587086,0.00028331712,0.27008283,0.000034120738,0.000025175352,0.000025926693,0.0005703436,0.00968739,0.000320209,0.058074847,0.657014,0.0021231389],"about_ca_topic_score_codex":0.00048518804,"about_ca_topic_score_gemma":0.00032155562,"teacher_disagreement_score":0.721407,"about_ca_system_score_codex":0.000291292,"about_ca_system_score_gemma":0.000020629279,"threshold_uncertainty_score":0.99987465},"labels":[],"label_agreement":null},{"id":"W2887033879","doi":"","title":"Recent Fourth District Foreclosure Trends","year":2011,"lang":"en","type":"article","venue":"Economic Trends","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Foreclosure; Bust; Quarter (Canadian coin); Geography; Archaeology; Economics; Boom; Geology; Finance; Oceanography","score_opus":0.05509908149000402,"score_gpt":0.2146280608962549,"score_spread":0.15952897940625088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887033879","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.087366074,0.00048339457,0.00015703226,0.0003980254,0.0019562505,0.00004502267,0.00028186376,0.00015271863,0.9091596],"genre_scores_gemma":[0.9670023,0.0017897519,0.0016618313,0.00020662775,0.00044507888,0.000038784354,0.00015109134,0.00010775555,0.028596817],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975494,0.000016843192,0.001005996,0.0007629418,0.000019444095,0.0006453758],"domain_scores_gemma":[0.99847966,0.000031150852,0.0005124835,0.00072689925,0.00001120212,0.00023860607],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000510213,0.00034784933,0.0006603356,0.00073286815,0.00015749071,0.00010122493,0.0004913287,0.00020561444,0.0270776],"category_scores_gemma":[0.000021432921,0.000431471,0.00031871884,0.00027014085,0.000091862974,0.00043780866,0.00008315,0.00021116484,0.003730537],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001164028,0.00020124,0.11147357,0.000010717397,0.00020792277,0.000012547206,0.0010156967,0.00007538717,7.858982e-7,0.12756898,0.047435395,0.71188134],"study_design_scores_gemma":[0.001053899,0.0001334711,0.092196845,0.000005358111,0.000017824945,0.00001604198,0.000047573118,0.0025910032,0.00003466518,0.017853731,0.88533765,0.00071195356],"about_ca_topic_score_codex":0.00024894075,"about_ca_topic_score_gemma":0.00033285827,"teacher_disagreement_score":0.8805628,"about_ca_system_score_codex":0.00043261933,"about_ca_system_score_gemma":0.000030198453,"threshold_uncertainty_score":0.99981374},"labels":[],"label_agreement":null},{"id":"W2887702451","doi":"","title":"Housing and the Banking Industry","year":2008,"lang":"en","type":"article","venue":"Economic Trends","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Quarter (Canadian coin); Economics; Loan; Price index; Agricultural economics; Geography; Econometrics; Finance","score_opus":0.033047718249009234,"score_gpt":0.2052164542716498,"score_spread":0.17216873602264057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887702451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56530195,0.00042950126,0.000036240806,0.00079168536,0.00047144556,0.000034413024,0.000015451817,0.000042311316,0.432877],"genre_scores_gemma":[0.99440145,0.00055004004,0.00017631389,0.00033984825,0.0003455998,0.000010252415,0.0000051378897,0.00003320482,0.0041381717],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987812,0.000016686165,0.0005190476,0.0003705195,0.000010418983,0.00030212238],"domain_scores_gemma":[0.9992301,0.00009219026,0.00026426613,0.0003338015,0.0000035723767,0.000076076525],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005856896,0.00016462084,0.0004113266,0.00020771801,0.00035477942,0.00009864144,0.00020405653,0.00017920103,0.0013232044],"category_scores_gemma":[0.000023583887,0.00016218069,0.00011400256,0.00007950748,0.00032683535,0.0002642463,0.00007430031,0.00030771116,0.00043366154],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001505276,0.00004459289,0.34056994,0.0000138589485,0.00018279177,0.000017089807,0.0026186171,0.000724804,0.000001464061,0.592507,0.010530831,0.052638445],"study_design_scores_gemma":[0.009879077,0.00007115437,0.18609983,0.000026917724,0.000034855246,0.000340409,0.00027208996,0.032803625,0.000047354974,0.16468227,0.60416853,0.0015738786],"about_ca_topic_score_codex":0.00027414388,"about_ca_topic_score_gemma":0.000059977672,"teacher_disagreement_score":0.5936377,"about_ca_system_score_codex":0.00013315184,"about_ca_system_score_gemma":0.000021441367,"threshold_uncertainty_score":0.99958974},"labels":[],"label_agreement":null},{"id":"W2887822989","doi":"","title":"Worry is interest paid on trouble before it falls due","year":2007,"lang":"en","type":"article","venue":"Economic Trends","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Inflation (cosmology); Personal consumption expenditures price index; Economics; Quarter (Canadian coin); Unemployment; Consumption (sociology); Unemployment rate; Core inflation; Index (typography); Worry; Price index; National accounts; Demographic economics; Macroeconomics; Consumer confidence index; Monetary policy; Geography; Psychology","score_opus":0.042287975132912756,"score_gpt":0.2434606190814894,"score_spread":0.20117264394857665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887822989","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4425132,0.00005962619,0.000120205674,0.0015771412,0.0014953552,0.000058410686,0.00013154902,0.00007697256,0.55396754],"genre_scores_gemma":[0.96756494,0.00006367446,0.00024488583,0.0018126693,0.0007530019,0.00001068006,0.00004534206,0.00008277304,0.029422006],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99731207,0.000009542832,0.0011304489,0.00079361437,0.000018767729,0.00073558],"domain_scores_gemma":[0.99849254,0.00008903138,0.00046105625,0.00071388326,0.000008666627,0.00023485046],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010304328,0.0003512446,0.00067715,0.00072962244,0.0001509119,0.00017570348,0.0004704068,0.00024690002,0.007232706],"category_scores_gemma":[0.000023838413,0.00044168092,0.00032562573,0.0001459879,0.0000832526,0.00037524666,0.00008114011,0.0002989121,0.010216955],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039453644,0.0003649407,0.1331673,0.00003819912,0.00033891035,0.000050457384,0.0029509966,0.00023639979,0.0000064710125,0.5286343,0.15646128,0.1773562],"study_design_scores_gemma":[0.0016757465,0.00031446735,0.04949067,0.000032285498,0.00001234025,0.000021311685,0.00025707175,0.0016408913,0.00020657657,0.016186455,0.9292858,0.00087632844],"about_ca_topic_score_codex":0.00019067082,"about_ca_topic_score_gemma":0.0016061426,"teacher_disagreement_score":0.7728246,"about_ca_system_score_codex":0.00048866845,"about_ca_system_score_gemma":0.000026828735,"threshold_uncertainty_score":0.9998035},"labels":[],"label_agreement":null},{"id":"W2888902905","doi":"10.15396/eres2018_38","title":"Official Indices on Housing: Prices and Turnover","year":2018,"lang":"en","type":"article","venue":"25th Annual European Real Estate Society Conference","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Price index; Official statistics; Quarter (Canadian coin); National accounts; Quality (philosophy); Work (physics); Economics; Business; Accounting; Statistics; Macroeconomics; Engineering; Computer science; Geography","score_opus":0.030748718271061626,"score_gpt":0.22824580088327448,"score_spread":0.19749708261221285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888902905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58706975,0.000015370952,0.00026054075,0.00010194964,0.0002724588,0.000083746076,0.0001312189,0.000076715965,0.4119883],"genre_scores_gemma":[0.9950279,0.0027442966,0.000683004,0.0004591623,0.0005180867,0.0000016997926,0.000021406588,0.000053880874,0.00049055583],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983725,0.000036374673,0.00048547093,0.0006022105,0.00005057348,0.00045289486],"domain_scores_gemma":[0.9990453,0.0000443021,0.00037389674,0.0002789075,0.00007895046,0.00017860527],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007281685,0.00025337606,0.00034303943,0.000072761235,0.0003048493,0.00027524488,0.00028992328,0.00008830787,0.000112023816],"category_scores_gemma":[0.00005552862,0.00027780727,0.00011513144,0.00014985497,0.00040845253,0.0003594107,0.00016409268,0.0002381326,0.0006585768],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076818647,0.0008694757,0.114782885,0.00035870294,0.00058740797,0.00009760262,0.15627049,0.00014589861,0.0001609864,0.21967198,0.033815723,0.47247067],"study_design_scores_gemma":[0.0031326546,0.0020006553,0.30792525,0.00016139724,0.00004717465,0.000019265575,0.006924235,0.022090515,0.00015377563,0.0045759124,0.6504721,0.0024970565],"about_ca_topic_score_codex":0.0003825697,"about_ca_topic_score_gemma":0.00020300692,"teacher_disagreement_score":0.61665636,"about_ca_system_score_codex":0.000058319485,"about_ca_system_score_gemma":0.00005095281,"threshold_uncertainty_score":0.9999674},"labels":[],"label_agreement":null},{"id":"W2889041794","doi":"10.5539/ijef.v10n9p145","title":"The Influence of Home Buyer Sentiment on Chinese Housing Prices—— Based on Media Text Mining","year":2018,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Proxy (statistics); Real estate; China; Consumer confidence index; Index (typography); Point (geometry); Economics; Sentiment analysis; Business; Economy; Marketing; Finance; Computer science; Political science; Law","score_opus":0.013735535247788176,"score_gpt":0.2214175278053756,"score_spread":0.20768199255758743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889041794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901728,0.0001324206,0.00010409769,0.001303489,0.0014973532,0.000051014056,0.00003878598,0.0000026579414,0.006697397],"genre_scores_gemma":[0.99529946,0.0028545745,0.0008566836,0.00046887863,0.00046438366,0.0000016706954,0.0000015385414,0.00001801316,0.000034794943],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986948,0.000008840312,0.0008770269,0.00020520268,0.000042122378,0.00017204299],"domain_scores_gemma":[0.9980042,0.00032201648,0.0013007675,0.00018933712,0.0001400449,0.00004363557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007963881,0.00014476004,0.00032126732,0.00024915795,0.00011212506,0.00013655335,0.00043496725,0.00006176698,0.00002223112],"category_scores_gemma":[0.00017561803,0.0001263544,0.00011491516,0.000066203116,0.00016448063,0.00023830362,0.00005786467,0.00013186641,0.000028605353],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029185205,0.00069619913,0.19156341,0.00003300855,0.0006219888,0.000037540314,0.0027418728,0.3376961,0.000063207066,0.37543333,0.0012328106,0.08696199],"study_design_scores_gemma":[0.004939371,0.0013487074,0.48416793,0.00046004783,0.000023331806,0.00005545764,0.00015716604,0.29371893,0.00047462663,0.071886875,0.141811,0.0009565459],"about_ca_topic_score_codex":0.000017107153,"about_ca_topic_score_gemma":0.00002876609,"teacher_disagreement_score":0.30354646,"about_ca_system_score_codex":0.00012477372,"about_ca_system_score_gemma":0.000050620023,"threshold_uncertainty_score":0.51525825},"labels":[],"label_agreement":null},{"id":"W2889133148","doi":"10.15396/eres2018_168","title":"Commercial Property Cycles and Sub-market Emergence in Selected Canadian Cities.","year":2018,"lang":"en","type":"article","venue":"25th Annual European Real Estate Society Conference","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Property market; Investment (military); Business; Real estate investment trust; Primary market; Finance; Residential property; Real estate; Industrial organization; Economics; Economic geography; Geography","score_opus":0.025724097831695603,"score_gpt":0.21073961186175943,"score_spread":0.18501551403006383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889133148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58178896,0.000022163073,0.000046902598,0.0002688626,0.00020834866,0.00014781611,0.0002353317,0.000048727066,0.4172329],"genre_scores_gemma":[0.98909974,0.008815705,0.00037666052,0.0004068415,0.0001804725,0.000005667356,0.000043531356,0.000052002877,0.0010193601],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979574,0.000093650204,0.0006035319,0.0005908154,0.00003905075,0.0007155702],"domain_scores_gemma":[0.99899614,0.000028315104,0.00019299512,0.00027519447,0.00015308317,0.00035424883],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00096827553,0.00026377218,0.0003882602,0.00012547188,0.00030229046,0.00016840352,0.00033712704,0.000100761376,0.00029415186],"category_scores_gemma":[0.00010472482,0.00027378227,0.00007703226,0.00034605578,0.00044419034,0.00037247586,0.00012696929,0.00028953011,0.0002173778],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021787897,0.00017219325,0.6065946,0.00017191042,0.00014914693,0.000084119245,0.06368735,0.000021928074,0.00007942607,0.009724972,0.09356023,0.22553621],"study_design_scores_gemma":[0.0009169595,0.00021687344,0.8561967,0.000056496683,0.000008612776,0.0000112894895,0.002475039,0.02277737,0.000024428138,0.00064320373,0.11573276,0.00094029034],"about_ca_topic_score_codex":0.11736045,"about_ca_topic_score_gemma":0.1891479,"teacher_disagreement_score":0.4162135,"about_ca_system_score_codex":0.00014603992,"about_ca_system_score_gemma":0.00024368866,"threshold_uncertainty_score":0.99997145},"labels":[],"label_agreement":null},{"id":"W2889318846","doi":"","title":"Real estate price, and policy in Canada","year":2018,"lang":"en","type":"article","venue":"Saint Mary's University Institutional Repository (Saint Mary's University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Economics; Business; Finance","score_opus":0.008724029786495117,"score_gpt":0.1634328480011567,"score_spread":0.1547088182146616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889318846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5657003,0.000011662284,0.00022080142,0.00041795848,0.0004146776,0.0001404277,0.00007712902,0.000039764935,0.43297726],"genre_scores_gemma":[0.99071485,0.0013980357,0.00058694906,0.00011690703,0.00023131455,2.382494e-7,0.000037280566,0.000018798795,0.006895625],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981656,0.00007395844,0.00038489015,0.000716815,0.000096811615,0.000561909],"domain_scores_gemma":[0.99882644,0.00009007532,0.00029672054,0.00037196136,0.00009000994,0.00032481557],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029345695,0.00029088522,0.00045065055,0.0012265659,0.00080658984,0.00006157854,0.00048164537,0.00016350941,0.00010511938],"category_scores_gemma":[0.00005679617,0.00042891802,0.0001077903,0.0008639858,0.00057612883,0.00071723,0.00041336598,0.00030261587,0.000065958135],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064645265,0.00017348689,0.3042777,0.00007142256,0.00015605598,0.0024756917,0.00054039445,0.00094722054,0.000049972827,0.68492824,0.000898712,0.004834656],"study_design_scores_gemma":[0.0018122183,0.00014083194,0.1786946,0.00005485654,0.000023850906,0.00010268217,0.0009771192,0.0032399762,0.000034653352,0.0013538027,0.81278545,0.00077998656],"about_ca_topic_score_codex":0.88141376,"about_ca_topic_score_gemma":0.5008344,"teacher_disagreement_score":0.8118867,"about_ca_system_score_codex":0.012448138,"about_ca_system_score_gemma":0.002149957,"threshold_uncertainty_score":0.99981624},"labels":[],"label_agreement":null},{"id":"W2889415229","doi":"10.15396/eres2018_170","title":"Challenges of constructing commercial property price (and associated) indicators","year":2018,"lang":"en","type":"article","venue":"25th Annual European Real Estate Society Conference","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Business; Economic rent; Commission; Government (linguistics); Order (exchange); Database transaction; Human settlement; European commission; Estate; European union; Finance; Economics; Geography; International trade; Computer science; Database; Market economy","score_opus":0.044414594588972775,"score_gpt":0.23310686391054275,"score_spread":0.18869226932156996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889415229","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42766997,0.000047884245,0.00012688174,0.0001647339,0.0001813746,0.00010539102,0.0001362478,0.00005472508,0.5715128],"genre_scores_gemma":[0.9845731,0.013571992,0.0012817292,0.00011042875,0.00015390504,0.0000021803507,0.000013176733,0.000043824002,0.00024962513],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9982646,0.00008748208,0.00067797565,0.00049744715,0.000049599184,0.00042291486],"domain_scores_gemma":[0.9987087,0.00006126617,0.0006746454,0.00026479617,0.00012947188,0.00016106958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013901435,0.00022174798,0.00047803484,0.0000806401,0.0002041926,0.000074327276,0.000305497,0.00010523346,0.000051839375],"category_scores_gemma":[0.0001810731,0.00021530523,0.00012508403,0.00017180222,0.0007291787,0.00028197066,0.00022652627,0.00024647228,0.00008501138],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007731598,0.00023447922,0.103479326,0.00022760204,0.00031148575,0.000009324496,0.0715925,0.0000025515842,0.000050871473,0.10033509,0.0018505828,0.7218289],"study_design_scores_gemma":[0.006069074,0.0021694792,0.701161,0.0005278208,0.00011043655,0.000053832293,0.054747585,0.008795343,0.00033802705,0.005331844,0.21712343,0.0035721085],"about_ca_topic_score_codex":0.00031094436,"about_ca_topic_score_gemma":0.00011769251,"teacher_disagreement_score":0.7182568,"about_ca_system_score_codex":0.000060769955,"about_ca_system_score_gemma":0.00006855369,"threshold_uncertainty_score":0.87798923},"labels":[],"label_agreement":null},{"id":"W2889419114","doi":"10.1257/aer.20181243","title":"Liquidity versus Wealth in Household Debt Obligations: Evidence from Housing Policy in the Great Recession","year":2020,"lang":"en","type":"article","venue":"American Economic Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":202,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Booth University College","funders":"","keywords":"Market liquidity; Economics; Monetary economics; Debt; Consumption (sociology); Payment; Liquidity crisis; Macroeconomics; Finance","score_opus":0.1333529438289713,"score_gpt":0.3115069551201835,"score_spread":0.1781540112912122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889419114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9272688,0.0262897,0.000110700676,0.032555338,0.0004056712,0.0007769266,0.00010305559,0.00006104209,0.012428764],"genre_scores_gemma":[0.6754371,0.31750226,0.00029240482,0.0063925283,0.00027373212,0.00005079334,0.000017110742,0.000030078018,0.0000040213004],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99743104,0.00016246625,0.0012894188,0.0006770763,0.000029798597,0.0004101914],"domain_scores_gemma":[0.997878,0.00053818204,0.0008639025,0.0005841694,0.000006103532,0.00012964364],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013348068,0.00024962556,0.00097619137,0.00018946665,0.00008439144,0.000109041364,0.0006649672,0.000060371116,0.00017741382],"category_scores_gemma":[0.00071792357,0.0002497833,0.00015969528,0.0006228665,0.0001438136,0.00056127214,0.000110548885,0.00031103374,0.0007877048],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051037245,0.00018362774,0.48819214,0.001188637,0.00011291389,0.000033801716,0.0046702507,0.0045711896,0.000010579502,0.010026867,0.013875348,0.47662425],"study_design_scores_gemma":[0.005137245,0.001118502,0.2842555,0.009573672,0.00011958096,0.0000132025325,0.0017473296,0.027530724,0.00003923519,0.013373726,0.65343434,0.0036569617],"about_ca_topic_score_codex":0.01489084,"about_ca_topic_score_gemma":0.0021688526,"teacher_disagreement_score":0.639559,"about_ca_system_score_codex":0.0006995873,"about_ca_system_score_gemma":0.0001642238,"threshold_uncertainty_score":0.99999547},"labels":[],"label_agreement":null},{"id":"W2889795279","doi":"10.5430/afr.v7n4p35","title":"Management Accounting in Pricing Decisions for Real Estate of Real Estate Enterprises in Vietnam","year":2018,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; Business; Corporate Real Estate; Process (computing); Task (project management); Finance; Real estate development; Property management; Option fee; Cost approach; Marketing; Economics; Computer science; Management","score_opus":0.06102180545190941,"score_gpt":0.32652746557999535,"score_spread":0.26550566012808596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889795279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8653566,0.000051573716,0.00023737832,0.00009768453,0.0001404212,0.00036902475,0.000018287632,0.000012554589,0.13371645],"genre_scores_gemma":[0.94180936,0.054572985,0.003253553,0.000010194227,0.00009459424,0.0000653296,0.0000062457852,0.000032250773,0.00015546614],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976387,0.000028454882,0.0009046006,0.00057796016,0.00007847151,0.00077178155],"domain_scores_gemma":[0.9987004,0.0004779462,0.00035711666,0.00032683398,0.000105205494,0.000032530203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051750513,0.00015236651,0.0004508979,0.0009409656,0.00023050356,0.00014302158,0.00031655194,0.000103786224,0.000010151418],"category_scores_gemma":[0.0004846379,0.0001831788,0.000057688736,0.00071032334,0.00019607035,0.00040699827,0.00027311806,0.00025546973,0.000028072005],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017924584,0.00010304683,0.6081971,0.00013970473,0.000014445752,0.000010770468,0.0022695956,0.00012574969,0.000026891788,0.006493268,0.00010951444,0.3823307],"study_design_scores_gemma":[0.003205052,0.00032524412,0.86284614,0.0009456309,0.0000074702807,0.000004752716,0.002584634,0.069857694,0.00013899371,0.03261201,0.026738694,0.00073368935],"about_ca_topic_score_codex":0.004180252,"about_ca_topic_score_gemma":0.0020989825,"teacher_disagreement_score":0.381597,"about_ca_system_score_codex":0.00016779016,"about_ca_system_score_gemma":0.000040201343,"threshold_uncertainty_score":0.74698144},"labels":[],"label_agreement":null},{"id":"W2889874716","doi":"10.11575/prism/32033","title":"Regulatory Burden for Builders: Government's Effect on Housing Supply and Prices","year":2017,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Government of Alberta","keywords":"Government (linguistics); Business; Public economics; Economics","score_opus":0.03157958809239074,"score_gpt":0.2718714607000966,"score_spread":0.24029187260770585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889874716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.679968,0.0002841503,0.000012082712,0.00004891657,0.0007162407,0.00086413324,0.00032697967,0.000002088482,0.31777743],"genre_scores_gemma":[0.9403111,0.0007002494,0.0041378555,0.00005166133,0.0009206002,0.00020002913,0.0010489781,0.00021376576,0.0524158],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99846965,0.000009757796,0.00045208348,0.0007341754,0.000041820214,0.0002925186],"domain_scores_gemma":[0.9983089,0.00011996667,0.00093386066,0.00054123276,0.00001358702,0.000082431994],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0008879653,0.00030312123,0.000705055,0.00009322926,0.00036020947,0.0011317007,0.0005708168,0.0003198355,0.0006153933],"category_scores_gemma":[0.00015676791,0.0003604263,0.00012515596,0.000023912731,0.000037753092,0.00038936528,0.000068448804,0.00016176509,0.00021646281],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013476427,0.00008757811,0.008062549,0.00050966284,0.00038002702,0.000008826848,0.0020189134,0.000029061683,0.00014192902,0.0022718478,0.0035768019,0.9815652],"study_design_scores_gemma":[0.0037374836,0.001009616,0.013666392,0.0010601534,0.0001504564,0.0000033337733,0.0007712705,0.00073155,0.0053049233,0.0031517658,0.96855235,0.0018607264],"about_ca_topic_score_codex":0.00018180007,"about_ca_topic_score_gemma":0.00041752864,"teacher_disagreement_score":0.97970444,"about_ca_system_score_codex":0.00019360149,"about_ca_system_score_gemma":0.000041672127,"threshold_uncertainty_score":0.9999052},"labels":[],"label_agreement":null},{"id":"W2890126018","doi":"10.12783/dtssehs/amse2018/24855","title":"Empirical Study on the Impact in Economic Growth by Real Estate Investment Growth Rate","year":2018,"lang":"en","type":"article","venue":"DEStech Transactions on Social Science Education and Human Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Investment (military); Quarter (Canadian coin); Economics; Volatility (finance); Real gross domestic product; Growth rate; Monetary economics; Finance; Geography","score_opus":0.06444579184257136,"score_gpt":0.3487351577287389,"score_spread":0.28428936588616754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890126018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8931461,0.0000017009157,0.000103608196,0.0009296518,0.00039104262,0.00030368887,0.00001404334,0.000022956983,0.10508718],"genre_scores_gemma":[0.9992477,0.00005178345,0.000024025645,0.00040412895,0.000078601275,0.000045247354,8.8092213e-7,0.000009556743,0.0001380178],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9984283,0.00004382885,0.0003758278,0.0006527332,0.000088902336,0.0004104508],"domain_scores_gemma":[0.99930686,0.000064186795,0.00016679322,0.00023620167,0.00006611276,0.00015984019],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0031807856,0.00015314727,0.00019073169,0.00058497326,0.0022618622,0.0005618584,0.0005404279,0.000043530377,0.00012605899],"category_scores_gemma":[0.00004847217,0.0001357536,0.000045646197,0.0010209236,0.0021058605,0.0007124974,0.000014739162,0.00018780904,0.00012612189],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014031952,0.006704861,0.38503566,0.000014308332,0.000040636067,0.0000014435291,0.10203228,0.000050459246,0.0024235158,0.46970674,0.004076488,0.029773299],"study_design_scores_gemma":[0.00051781134,0.00073665316,0.96470314,0.000010645808,0.000005396582,0.000002098402,0.0067675286,0.0006320047,0.0008991618,0.02461526,0.0006595921,0.00045070544],"about_ca_topic_score_codex":0.0022291369,"about_ca_topic_score_gemma":0.00040925015,"teacher_disagreement_score":0.5796675,"about_ca_system_score_codex":0.00094816217,"about_ca_system_score_gemma":0.000600967,"threshold_uncertainty_score":0.9990371},"labels":[],"label_agreement":null},{"id":"W2890516884","doi":"","title":"By the Numbers: A Statistical Survey of Private Member's Bills","year":2002,"lang":"en","type":"article","venue":"Canadian parliamentary review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Statistical survey; Business; Economics; Chemistry; Statistics; Mathematics","score_opus":0.07004938079128216,"score_gpt":0.2368442755265143,"score_spread":0.16679489473523212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890516884","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09085949,0.4413843,0.00039919646,0.01530535,0.0016863208,0.00265797,0.01725776,0.000058285965,0.43039134],"genre_scores_gemma":[0.66105866,0.32155895,0.00045706975,0.015187591,0.00008104954,0.0000653156,0.00045449467,0.00007803458,0.0010588171],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99855965,0.000067094035,0.0007069037,0.00027953394,0.000026868776,0.00035994747],"domain_scores_gemma":[0.9988849,0.00013046816,0.00025083456,0.00044542368,0.000017724731,0.00027060602],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009838779,0.00014972096,0.00052610657,0.00006128443,0.00008464708,0.000037008347,0.00032321239,0.000048957972,0.011852398],"category_scores_gemma":[0.00016246588,0.00013922693,0.00007930897,0.00022469468,0.000109426546,0.00010685911,0.000024933452,0.0001198594,0.0011840517],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023603668,0.000036745398,0.09561583,0.00036045775,0.00009517011,0.0000051977318,0.00006571917,0.0000019220017,3.660963e-7,0.003621257,0.8657582,0.034436777],"study_design_scores_gemma":[0.00017244609,0.0000252779,0.011665931,0.00019648904,0.000018795887,0.0000064020783,0.000008775929,0.0003195942,0.0000013430111,0.0006230782,0.98672575,0.000236148],"about_ca_topic_score_codex":0.3052788,"about_ca_topic_score_gemma":0.17942509,"teacher_disagreement_score":0.5701992,"about_ca_system_score_codex":0.0002341873,"about_ca_system_score_gemma":0.000036642465,"threshold_uncertainty_score":0.9995936},"labels":[],"label_agreement":null},{"id":"W2890677796","doi":"10.3390/jrfm11030054","title":"U.K. House Prices: Bubbles or Market Efficiency? Evidence from Regional Analysis","year":2018,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Guangdong Province","keywords":"Economic rent; Economics; House price; Mean reversion; Econometrics; Value (mathematics); Dividend; Momentum (technical analysis); Estimation; Term (time); Financial economics; Finance; Statistics; Microeconomics; Mathematics","score_opus":0.027502756900119964,"score_gpt":0.2220985783313664,"score_spread":0.19459582143124643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890677796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8527376,0.0027464828,0.13545436,0.00020758582,0.0008028474,0.00013710579,0.000046698842,0.000023818808,0.007843483],"genre_scores_gemma":[0.96142924,0.028464755,0.008891724,0.00018890524,0.00067130243,0.0000026566508,0.0000010481457,0.000019419367,0.00033095793],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985118,0.000024462699,0.0008400332,0.00030777813,0.000071989656,0.00024393083],"domain_scores_gemma":[0.99843466,0.00017843652,0.0009645754,0.00024818603,0.000066029526,0.00010812357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013479069,0.00015864152,0.0005428961,0.0006108322,0.00019727148,0.00014284493,0.00031569367,0.00007958168,0.00044459023],"category_scores_gemma":[0.0002541088,0.00014278464,0.00021580493,0.00058812764,0.00012570996,0.00035679922,0.000108455984,0.00014821519,0.00006206122],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030444139,0.00054494804,0.71290946,0.00013438836,0.0013866842,0.00022708159,0.0051407283,0.0005709904,0.0000035815078,0.015691444,0.029620629,0.23072563],"study_design_scores_gemma":[0.0011393307,0.00044237822,0.67313397,0.00016525855,0.00059182366,0.000011458474,0.00032704903,0.004336104,0.000006979493,0.020400407,0.29898486,0.00046039873],"about_ca_topic_score_codex":0.00028068075,"about_ca_topic_score_gemma":0.00032158813,"teacher_disagreement_score":0.2693642,"about_ca_system_score_codex":0.000083566454,"about_ca_system_score_gemma":0.00002793152,"threshold_uncertainty_score":0.5822589},"labels":[],"label_agreement":null},{"id":"W2890858121","doi":"10.1111/grow.12254","title":"Home maintenance expenditures and income fluctuations","year":2018,"lang":"en","type":"article","venue":"Growth and Change","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Earnings; Consumption smoothing; Economics; Consumption (sociology); Labour economics; Demographic economics; Finance; Business cycle; Macroeconomics","score_opus":0.032488251047094914,"score_gpt":0.21281061223487582,"score_spread":0.18032236118778092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890858121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94793594,0.0012140056,0.00033916844,0.0010258951,0.00051079114,0.00012775825,0.00006640946,0.00004071636,0.048739325],"genre_scores_gemma":[0.99702084,0.001428243,0.00026922164,0.00051515794,0.0005407577,0.00002244438,0.0000071023665,0.000013749298,0.00018246088],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99935,0.0000043508635,0.00018106196,0.00024220215,0.000010774491,0.00021159842],"domain_scores_gemma":[0.9996795,0.000019329816,0.00008072683,0.00012254746,0.000009551287,0.000088322115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013974738,0.000095864634,0.00017853183,0.00011964373,0.00015400133,0.00007132869,0.00007091558,0.000062974796,0.00015518173],"category_scores_gemma":[0.000025650335,0.00010506933,0.000022501183,0.000052472144,0.00012979393,0.00022225839,0.00006192381,0.000053811866,0.00012846162],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005878064,0.00005502817,0.5220025,0.00013302619,0.00005676121,0.000007004506,0.008058673,7.432897e-8,0.000055071963,0.44710514,0.0028731187,0.019594826],"study_design_scores_gemma":[0.0009678158,0.00020773597,0.7773234,0.000031428382,0.000008083275,0.000024184608,0.00023924948,0.0009577131,0.00007555212,0.18146886,0.038147904,0.0005480686],"about_ca_topic_score_codex":0.0001896358,"about_ca_topic_score_gemma":0.000089373374,"teacher_disagreement_score":0.26563627,"about_ca_system_score_codex":0.000014471616,"about_ca_system_score_gemma":0.0000032139149,"threshold_uncertainty_score":0.4284603},"labels":[],"label_agreement":null},{"id":"W2890977572","doi":"10.3386/w8098","title":"Empirical Evaluation of Asset Pricing Models: A Comparison of the SDF and Beta Methods","year":2001,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Capital asset pricing model; Stochastic discount factor; Generality; Econometrics; BETA (programming language); Asset (computer security); Econometric model; Estimation; Economics; Computer science","score_opus":0.7392519104151631,"score_gpt":0.5932847013453566,"score_spread":0.14596720906980654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890977572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57034767,0.0025037457,0.0013350077,0.00115354,0.00058529445,0.0010712198,0.00022605373,0.0000086506625,0.4227688],"genre_scores_gemma":[0.9946111,0.0005290791,0.0044718077,0.000011818371,0.00012401928,0.000050317823,0.00006607738,0.000029292305,0.000106491156],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965113,0.00047148796,0.0018193639,0.00061255274,0.00028994904,0.00029533714],"domain_scores_gemma":[0.99604565,0.0011603521,0.0014530524,0.0005756868,0.0006971725,0.00006807291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019772563,0.00019883589,0.0010262473,0.0008091852,0.0001014038,0.000055455872,0.00069896475,0.0004123325,0.00021303908],"category_scores_gemma":[0.0010511044,0.00020735005,0.00024974666,0.00021803888,0.00038304846,0.00017602662,0.0008364916,0.00071983604,0.000009827218],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011233677,0.00034385922,0.1582626,0.00047650683,0.00046733188,9.236733e-8,0.0016332638,0.24483187,0.000055010103,0.57927763,0.002569243,0.011970243],"study_design_scores_gemma":[0.00033013092,0.000027107117,0.00545124,0.000054445543,0.000017691065,7.5189604e-7,0.00007836826,0.42444816,0.00021545423,0.5690445,0.0002226787,0.0001094916],"about_ca_topic_score_codex":0.00095959887,"about_ca_topic_score_gemma":0.00013767125,"teacher_disagreement_score":0.42426342,"about_ca_system_score_codex":0.00086304225,"about_ca_system_score_gemma":0.00076677767,"threshold_uncertainty_score":0.845549},"labels":[],"label_agreement":null},{"id":"W2890991950","doi":"10.1111/iere.12193","title":"HOUSING DYNAMICS OVER THE BUSINESS CYCLE","year":2016,"lang":"en","type":"preprint","venue":"International Economic Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Lagging; Business cycle; Investment (military); Economics; Dynamics (music); Monetary economics; Lag; Macroeconomics","score_opus":0.029354721483949044,"score_gpt":0.2591918100956214,"score_spread":0.22983708861167237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890991950","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023759943,0.038390357,0.0056521706,0.04084846,0.022109518,0.0013175183,0.0024940455,0.00017444907,0.86525357],"genre_scores_gemma":[0.3763731,0.60883796,0.00046974607,0.0062808,0.00395511,0.00031829244,0.0006326296,0.0002713099,0.0028610309],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970725,0.000033603497,0.0016164089,0.0008683168,0.000046149544,0.0003629789],"domain_scores_gemma":[0.9970617,0.00013896008,0.001605089,0.0010442653,0.000066245215,0.00008369287],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012806067,0.00042641925,0.0009989045,0.00019427789,0.00012110482,0.00035849406,0.0015818315,0.0002470954,0.0036158955],"category_scores_gemma":[0.00018281332,0.0003693354,0.0004901345,0.000060352722,0.00013011813,0.00030964595,0.0009964693,0.00042146476,0.0037771708],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004562718,0.00014683009,0.034025334,0.0029569676,0.0014327308,0.000018437757,0.000114389,0.0031872466,5.6398005e-7,0.6880218,0.076224476,0.19382559],"study_design_scores_gemma":[0.000386434,0.000005930477,0.006384707,0.0028024206,0.00004641527,0.00001670511,0.000004599755,0.024375055,7.5007495e-7,0.18182942,0.78331447,0.0008330931],"about_ca_topic_score_codex":0.00038603073,"about_ca_topic_score_gemma":0.0001944192,"teacher_disagreement_score":0.8623925,"about_ca_system_score_codex":0.0017223844,"about_ca_system_score_gemma":0.00015277306,"threshold_uncertainty_score":0.99987584},"labels":[],"label_agreement":null},{"id":"W2891050112","doi":"10.3386/w16685","title":"Foreclosures, House Prices, and the Real Economy","year":2011,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Canadian Institute for Advanced Research","funders":"Booth School of Business, University of Chicago; University of Chicago; National Science Foundation","keywords":"Foreclosure; Leverage (statistics); Economics; Consumption (sociology); House price; Investment (military); Monetary economics; Recession; Great recession; Durable good; Regression discontinuity design; Labour economics; Microeconomics; Macroeconomics; Finance; Law","score_opus":0.3001451319841825,"score_gpt":0.4027098675054506,"score_spread":0.1025647355212681,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891050112","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027221195,0.0016566567,0.000037942624,0.0016709839,0.00059728697,0.0009355591,0.00013671645,0.000045960664,0.9676977],"genre_scores_gemma":[0.9870891,0.0094094975,0.000739469,0.000090293455,0.0007502826,0.0002691014,0.00010578145,0.000113118345,0.0014333391],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99674445,0.00012593652,0.0014930479,0.0009716012,0.00009838188,0.0005665551],"domain_scores_gemma":[0.99680674,0.0010519803,0.0009884037,0.00076071423,0.00023934782,0.00015278351],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009364919,0.0003309804,0.0010522001,0.0008583947,0.00025457036,0.00027854182,0.0011131734,0.00052965106,0.0005124067],"category_scores_gemma":[0.00038385374,0.00032799016,0.000311158,0.0001053811,0.0011149191,0.00027874776,0.0011802491,0.0010685825,0.00053759746],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024150332,0.000052943527,0.0046847505,0.00013660925,0.00023837764,8.2257134e-7,0.00047465408,0.00027665443,3.7533732e-7,0.98783475,0.005474538,0.0005840348],"study_design_scores_gemma":[0.0013424616,0.000040036375,0.0010916452,0.000032090495,0.000009871093,0.0000039162796,0.00004686227,0.004994976,0.000014990916,0.97724795,0.014863337,0.0003118731],"about_ca_topic_score_codex":0.005845808,"about_ca_topic_score_gemma":0.00057473074,"teacher_disagreement_score":0.96626437,"about_ca_system_score_codex":0.00074326305,"about_ca_system_score_gemma":0.0005231572,"threshold_uncertainty_score":0.9999172},"labels":[],"label_agreement":null},{"id":"W2891205770","doi":"10.3386/w16107","title":"The Political Economy of the Subprime Mortgage Credit Expansion","year":2010,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Booth School of Business, University of Chicago","keywords":"Financial system; Politics; Secondary mortgage market; Business; Economics; Mortgage insurance; Finance; Political science","score_opus":0.2307888444976982,"score_gpt":0.4211264011212472,"score_spread":0.190337556623549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891205770","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10073871,0.00039368775,0.000022583945,0.010030083,0.0022284398,0.00074359716,0.000293514,0.000015732547,0.88553363],"genre_scores_gemma":[0.99747914,0.00021845252,0.00017136059,0.000110732384,0.00092608546,0.00009389802,0.00006818247,0.000055655997,0.00087647885],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9964854,0.0001375067,0.0017380974,0.0007331089,0.00017219732,0.0007336747],"domain_scores_gemma":[0.9955443,0.0016040929,0.0010252302,0.0012531229,0.00041212735,0.00016113586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006219652,0.0002806811,0.0007521807,0.0004880355,0.0004023923,0.00020169918,0.002048363,0.0006661683,0.00038251362],"category_scores_gemma":[0.0011215991,0.00024043083,0.0005131914,0.00013364137,0.0011477643,0.00017170343,0.0015040276,0.0019833134,0.0002496611],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041722804,0.0000643656,0.004942234,0.000075754004,0.00010289024,2.6700604e-7,0.00006154022,0.0003075987,0.00003200256,0.9897552,0.004331336,0.00028509527],"study_design_scores_gemma":[0.00030793817,0.000029029941,0.0026516952,0.000035967103,0.0000059303597,0.0000027106012,0.0000710515,0.0063046594,0.00072318775,0.9742303,0.015418592,0.00021894772],"about_ca_topic_score_codex":0.0011610123,"about_ca_topic_score_gemma":0.00034023414,"teacher_disagreement_score":0.89674044,"about_ca_system_score_codex":0.0009260212,"about_ca_system_score_gemma":0.0011830134,"threshold_uncertainty_score":0.9804485},"labels":[],"label_agreement":null},{"id":"W2891297601","doi":"10.3386/w17238","title":"Are All Ratings Created Equal? The Impact of Issuer Size on the Pricing of Mortgage-backed Securities","year":2011,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Simon Fraser University","funders":"","keywords":"Issuer; Business; Commercial mortgage-backed security; Actuarial science; Finance; Mortgage insurance","score_opus":0.4230337332147383,"score_gpt":0.45124560482444637,"score_spread":0.02821187160970806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891297601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7129588,0.00037813873,0.0000067479064,0.0005797173,0.00019756597,0.0006808658,0.00039945066,0.00001041677,0.28478828],"genre_scores_gemma":[0.9980924,0.0007049429,0.00007969361,0.000057342535,0.00022166049,0.00008000644,0.00006246319,0.000056907495,0.00064454554],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99681187,0.0002150603,0.0017260498,0.00059751223,0.00018068601,0.00046884397],"domain_scores_gemma":[0.9925405,0.0034413196,0.0025773009,0.00085947255,0.0005058438,0.000075585944],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0076168263,0.00032278404,0.0010566438,0.0005934771,0.00015952841,0.000099236306,0.0013050275,0.00037989143,0.0020049901],"category_scores_gemma":[0.002546431,0.0002497908,0.0005727533,0.00017806928,0.0006560714,0.00014196319,0.00059152156,0.0010693885,0.000112041664],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003692916,0.00026754147,0.026838288,0.0003085006,0.0011052131,0.0000014483696,0.002880888,0.0103153605,0.00006819034,0.94605494,0.011660038,0.00013028094],"study_design_scores_gemma":[0.0005178633,0.00017910048,0.01873054,0.00022390307,0.000014116336,0.000001856118,0.00043028314,0.008272168,0.001061923,0.9699879,0.00027450762,0.00030583554],"about_ca_topic_score_codex":0.006599675,"about_ca_topic_score_gemma":0.00011680804,"teacher_disagreement_score":0.28513363,"about_ca_system_score_codex":0.0007628317,"about_ca_system_score_gemma":0.00045107206,"threshold_uncertainty_score":0.9999954},"labels":[],"label_agreement":null},{"id":"W2891323818","doi":"10.3386/w18843","title":"Asset Quality Misrepresentation by Financial Intermediaries: Evidence from RMBS Market","year":2013,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Booth University College","funders":"","keywords":"Misrepresentation; Business; Intermediary; Financial intermediary; Intermediation; Interest rate; Actuarial science; Asset quality; Underwriting; Monetary economics; Financial system; Finance; Economics; Incentive","score_opus":0.38466421268951323,"score_gpt":0.47959625337366907,"score_spread":0.09493204068415584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891323818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5267079,0.0030371353,0.00100467,0.0044679088,0.0037440457,0.0017672679,0.004938115,0.000078817364,0.45425418],"genre_scores_gemma":[0.9896081,0.0029071998,0.0012274539,0.00010895716,0.0010877834,0.000326811,0.0017047176,0.00007072054,0.0029582463],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99498737,0.00031360105,0.0023115678,0.001451713,0.00028811235,0.00064765464],"domain_scores_gemma":[0.9942793,0.0026775259,0.0014149257,0.0009111087,0.0004958461,0.00022129285],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.007720781,0.00039635357,0.0011646207,0.0008045509,0.00018175713,0.00048795453,0.0014526327,0.00083760737,0.007324617],"category_scores_gemma":[0.0056498167,0.0005249812,0.00036771712,0.00016035314,0.00066062715,0.0007559767,0.001134156,0.0013494742,0.0017676186],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031040018,0.00025199464,0.047436714,0.00035244712,0.00033773997,0.0000018089478,0.0008770624,0.0008791977,0.0001407145,0.31517896,0.63164246,0.0025905033],"study_design_scores_gemma":[0.00054857665,0.00005009154,0.014053801,0.00018303591,0.0000071946497,6.045706e-7,0.00007728353,0.013131195,0.00021961836,0.9655814,0.0056163874,0.0005308194],"about_ca_topic_score_codex":0.01743629,"about_ca_topic_score_gemma":0.0004797392,"teacher_disagreement_score":0.6504024,"about_ca_system_score_codex":0.0018650661,"about_ca_system_score_gemma":0.00089309167,"threshold_uncertainty_score":0.99972016},"labels":[],"label_agreement":null},{"id":"W2891456039","doi":"10.3386/w25023","title":"Do Neighborhoods Affect Credit Market Decisions of Low-Income Borrowers? Evidence from the Moving to Opportunity Experiment","year":2018,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Oregon; University of Michigan; Russell Sage Foundation; University of Houston; York University; Sage Foundation; George Washington University; U.S. Department of Housing and Urban Development","keywords":"Affect (linguistics); Business; Economics; Demographic economics; Labour economics; Psychology","score_opus":0.4375635977370593,"score_gpt":0.48088199257986597,"score_spread":0.043318394842806696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891456039","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.087946326,0.0033397428,0.00017389718,0.0012063582,0.0031964774,0.0013554259,0.0018886586,0.000026862903,0.90086627],"genre_scores_gemma":[0.9864121,0.007013286,0.0008743705,0.00006273129,0.0022449654,0.0001705184,0.00019584307,0.00010880597,0.002917387],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99476564,0.00024874258,0.0024137748,0.001232177,0.0006167755,0.00072289276],"domain_scores_gemma":[0.9877386,0.0076636677,0.0014941477,0.0014871653,0.0012137981,0.00040258223],"candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.019129004,0.00043477616,0.001385706,0.0012169747,0.0003165487,0.00024914995,0.0020623987,0.0005697746,0.009745967],"category_scores_gemma":[0.016858555,0.0004403468,0.0005170568,0.00041156376,0.00048224154,0.0004340187,0.0010362737,0.0008159949,0.00063706236],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092037994,0.0004844944,0.06787118,0.00037608293,0.0012906347,0.000012534994,0.0015468262,0.0007985853,0.00012934786,0.07784679,0.8414774,0.0072457516],"study_design_scores_gemma":[0.0021967224,0.0013741178,0.08350218,0.0060864184,0.00009469491,0.000026785658,0.0010504078,0.0088001145,0.0013379034,0.7602967,0.13243963,0.0027943568],"about_ca_topic_score_codex":0.0061036516,"about_ca_topic_score_gemma":0.00047318777,"teacher_disagreement_score":0.89846575,"about_ca_system_score_codex":0.0031664942,"about_ca_system_score_gemma":0.0033761412,"threshold_uncertainty_score":0.99980485},"labels":[],"label_agreement":null},{"id":"W2891475980","doi":"10.3386/w21346","title":"Evaluating the Risk of Chinese Housing Markets: What We Know and What We Need to Know","year":2015,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China; York University","keywords":"Need to know; Business; Risk analysis (engineering); Internet privacy; Commerce; Computer science; Computer security","score_opus":0.2628538957925129,"score_gpt":0.4533559003498167,"score_spread":0.19050200455730382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891475980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87717927,0.058253728,0.000055868084,0.012876123,0.0024578925,0.001712682,0.00025983117,0.00003137716,0.04717322],"genre_scores_gemma":[0.81729937,0.17939784,0.001578967,0.000060902126,0.0007320383,0.00012598473,0.00008956231,0.000094374926,0.0006209418],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99588907,0.00037614454,0.0017721263,0.0010635735,0.0002880401,0.0006110608],"domain_scores_gemma":[0.9945453,0.00227904,0.0013349118,0.00089748244,0.0006980083,0.0002452995],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.020020312,0.00041615628,0.001181755,0.0014159699,0.00027714754,0.001243524,0.0011069089,0.0004732617,0.00034121578],"category_scores_gemma":[0.0028666083,0.00040739178,0.00029817215,0.00033999266,0.0004082099,0.0013899072,0.0016491266,0.0011514095,0.00022306688],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023668732,0.0006290314,0.07288811,0.0020360658,0.0022098138,0.000004421908,0.013007915,0.15680192,0.00012927191,0.24031909,0.021912126,0.48769537],"study_design_scores_gemma":[0.0009030362,0.00017946653,0.0018001039,0.0007736223,0.000021111196,0.0000039073584,0.001626106,0.10290269,0.00002987695,0.8828993,0.008362061,0.0004987592],"about_ca_topic_score_codex":0.00096438493,"about_ca_topic_score_gemma":0.00032354484,"teacher_disagreement_score":0.64258015,"about_ca_system_score_codex":0.0012017582,"about_ca_system_score_gemma":0.00080610445,"threshold_uncertainty_score":0.9998378},"labels":[],"label_agreement":null},{"id":"W2891704572","doi":"10.3386/w24998","title":"For Richer, for Poorer: Bankers' Liability and Risk-taking in New England, 1867-1880","year":2018,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Liability; Actuarial science; Business; Economics; Finance","score_opus":0.3965151016258842,"score_gpt":0.4750962002472305,"score_spread":0.07858109862134627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891704572","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11317627,0.0027568354,0.00046183556,0.0012440699,0.0024591312,0.0035239805,0.0026482532,0.00003325575,0.8736964],"genre_scores_gemma":[0.9293717,0.028173493,0.010949231,0.00008599169,0.008957944,0.00083682744,0.001685755,0.00034077076,0.01959829],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9961439,0.000072014205,0.0017566306,0.0011549179,0.00016142236,0.00071111],"domain_scores_gemma":[0.9936648,0.0030108534,0.0020015368,0.0004566971,0.0006840672,0.00018203536],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.018888459,0.00032609818,0.0011790231,0.0014873896,0.00020676186,0.00016514173,0.0005274619,0.0007200963,0.0004362256],"category_scores_gemma":[0.011512631,0.00041097304,0.00032044813,0.00019048474,0.000278806,0.0002630109,0.00018201601,0.0005862979,0.00008317602],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010703609,0.00027511662,0.42145634,0.0014274257,0.0006717044,0.0000010699742,0.00068924006,0.00036772853,0.000003301932,0.39462817,0.1354284,0.04398117],"study_design_scores_gemma":[0.0024375296,0.00020870869,0.009160062,0.00006921441,0.000013776212,0.0000033697283,0.000029941228,0.0061470536,0.000013220917,0.604834,0.376699,0.00038413054],"about_ca_topic_score_codex":0.011047945,"about_ca_topic_score_gemma":0.005150074,"teacher_disagreement_score":0.8540981,"about_ca_system_score_codex":0.0024590432,"about_ca_system_score_gemma":0.0025123043,"threshold_uncertainty_score":0.99983424},"labels":[],"label_agreement":null},{"id":"W2891843355","doi":"10.3386/w18190","title":"Is the FHA Creating Sustainable Homeownership?","year":2012,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University","keywords":"Graduation (instrument); Transparency (behavior); Business; Sustainability; Juvenile delinquency; Actuarial science; Finance; Economics; Political science","score_opus":0.3353635083879524,"score_gpt":0.4344447432627037,"score_spread":0.09908123487475129,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891843355","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032651033,0.002032226,0.000043725777,0.0043302276,0.00074012816,0.0007454232,0.0001711134,0.000028836814,0.9592573],"genre_scores_gemma":[0.9840696,0.00090552634,0.00033036835,0.00014605517,0.0013097655,0.00016731946,0.0001454594,0.0000747255,0.012851175],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965162,0.0001246601,0.0013436404,0.00080135494,0.00019011273,0.0010240151],"domain_scores_gemma":[0.9965187,0.0011615471,0.0008644453,0.00085585855,0.00043392586,0.00016555692],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0115954615,0.00031432134,0.00077630143,0.00093218184,0.00046559479,0.0003795381,0.0013656123,0.0005305652,0.0025226476],"category_scores_gemma":[0.0009860119,0.00031865653,0.00039099116,0.00022071502,0.00042282452,0.00037241384,0.0013291616,0.0013918343,0.001596038],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036367135,0.000073013274,0.011216503,0.00022503761,0.00018113106,8.824941e-7,0.0010389427,0.0011151299,0.0000020003467,0.9675572,0.018176269,0.00037753576],"study_design_scores_gemma":[0.00031195168,0.000024594752,0.001555267,0.000040562107,0.000007967241,0.0000027355743,0.0005680477,0.005051765,0.000058930407,0.9585721,0.033461582,0.00034447957],"about_ca_topic_score_codex":0.003135708,"about_ca_topic_score_gemma":0.000057141377,"teacher_disagreement_score":0.9514186,"about_ca_system_score_codex":0.0019352848,"about_ca_system_score_gemma":0.00065717974,"threshold_uncertainty_score":0.99992657},"labels":[],"label_agreement":null},{"id":"W2891909730","doi":"10.3386/w25082","title":"MPC Heterogeneity in Europe: Sources and Policy Implications","year":2018,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Econometrics; Economics","score_opus":0.41680694391345696,"score_gpt":0.4898008849773998,"score_spread":0.07299394106394286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891909730","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07454693,0.0012701532,0.000006438089,0.0015493233,0.00032330747,0.00038733493,0.00046406977,0.000015918524,0.92143655],"genre_scores_gemma":[0.9780956,0.014716409,0.00022709533,0.000058479884,0.001769005,0.00009555199,0.00033199365,0.00009401564,0.004611848],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969732,0.00007612984,0.0013983173,0.0008595471,0.00015391156,0.00053885696],"domain_scores_gemma":[0.99751204,0.00044517152,0.0006670671,0.0004933006,0.000735199,0.00014720314],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0069110286,0.0002492265,0.00078657543,0.0024339824,0.00016358627,0.00015343091,0.000582595,0.0004218677,0.00033330772],"category_scores_gemma":[0.0022398853,0.00032228394,0.00012315829,0.00049997994,0.0004993196,0.00022936585,0.000368073,0.0005450631,0.0005920239],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042136893,0.00013585598,0.13548635,0.00021269933,0.000160342,0.0000014803285,0.00016161709,0.00012625633,0.000011790915,0.82620937,0.034407236,0.0030448542],"study_design_scores_gemma":[0.0005404422,0.0000953412,0.05351692,0.00007230108,0.000004539589,0.00002562764,0.000019607998,0.0006244766,0.00003738732,0.6893248,0.25528383,0.0004546958],"about_ca_topic_score_codex":0.0055630766,"about_ca_topic_score_gemma":0.0016242894,"teacher_disagreement_score":0.9168247,"about_ca_system_score_codex":0.0018955838,"about_ca_system_score_gemma":0.0021789817,"threshold_uncertainty_score":0.99992293},"labels":[],"label_agreement":null},{"id":"W2891925384","doi":"10.1002/jae.2655","title":"(Under)Mining local residential property values: A semiparametric spatial quantile autoregression","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Econometrics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Econometrics; Quantile; Autoregressive model; Estimator; Property value; Economics; Environmental science; Statistics; Mathematics","score_opus":0.04263964972469215,"score_gpt":0.23562508706205018,"score_spread":0.19298543733735804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891925384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6907316,0.0006775939,0.13155977,0.0002763434,0.004483962,0.0003469249,0.00004555481,0.00007473289,0.17180355],"genre_scores_gemma":[0.99092174,0.00046340932,0.0060650893,0.0002535684,0.001816466,0.0000063071348,0.000007393804,0.00008142716,0.00038462214],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99633217,0.000024784911,0.0022611017,0.00059039734,0.00013564782,0.00065587414],"domain_scores_gemma":[0.99618864,0.0002663564,0.002533089,0.00049203844,0.0001786881,0.00034121593],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0028288327,0.00035521056,0.001127945,0.0033596344,0.000311824,0.0003438358,0.00073709356,0.0003392366,0.0011760824],"category_scores_gemma":[0.00043132328,0.00032699056,0.00035125815,0.001870375,0.00031143628,0.00061305705,0.00019793028,0.00047563313,0.00084896357],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005248796,0.0030965498,0.12044894,0.0005896341,0.0021853852,0.00017024965,0.010418899,0.02344161,0.00035187387,0.09454792,0.12295996,0.6165402],"study_design_scores_gemma":[0.019454706,0.006596682,0.076327674,0.0005324879,0.00044558858,0.0006648043,0.007834787,0.28858843,0.0055048326,0.21491684,0.3725726,0.0065605426],"about_ca_topic_score_codex":0.00015606967,"about_ca_topic_score_gemma":0.000041022675,"teacher_disagreement_score":0.6099796,"about_ca_system_score_codex":0.0006261775,"about_ca_system_score_gemma":0.00017709767,"threshold_uncertainty_score":0.999929},"labels":[],"label_agreement":null},{"id":"W2892164697","doi":"10.3386/w20712","title":"Retail Financial Advice: Does One Size Fit All?","year":2014,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Advice (programming); Business; Finance; Computer science","score_opus":0.2726395261463431,"score_gpt":0.4138299894928978,"score_spread":0.14119046334655466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892164697","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10251561,0.0005587887,0.00006310469,0.0052852347,0.002333713,0.00088209554,0.0006934086,0.00009121708,0.8875768],"genre_scores_gemma":[0.9862735,0.0015786687,0.0019337261,0.00026816336,0.0020490265,0.0001695531,0.00031259426,0.00010248046,0.0073122648],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9954366,0.00013091032,0.0020023226,0.0013527033,0.00024277958,0.00083465414],"domain_scores_gemma":[0.9957647,0.0015036748,0.0011279548,0.00093639427,0.00043438876,0.00023290594],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.008007701,0.0004266967,0.0013906884,0.0009990315,0.0002009179,0.0002772333,0.0014240585,0.0009752257,0.0043368824],"category_scores_gemma":[0.0030584317,0.00048525684,0.00048941316,0.00015322251,0.00039176474,0.0002700094,0.0011104669,0.0015760007,0.0023595823],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018643757,0.00024395317,0.005516303,0.0004416832,0.00031199816,0.0000021079213,0.00022378587,0.004085076,0.00001548099,0.9575655,0.029641837,0.0017658621],"study_design_scores_gemma":[0.000709949,0.000073728035,0.0022490441,0.00008442467,0.000010287868,0.0000015444041,0.000016371356,0.012848403,0.00006342408,0.92696136,0.05644925,0.00053218845],"about_ca_topic_score_codex":0.0015387955,"about_ca_topic_score_gemma":0.0004165716,"teacher_disagreement_score":0.8837579,"about_ca_system_score_codex":0.0016290541,"about_ca_system_score_gemma":0.0008771173,"threshold_uncertainty_score":0.9997599},"labels":[],"label_agreement":null},{"id":"W2893190628","doi":"10.6000/1929-7092.2018.07.26","title":"Investigation of Household Debt through Multilevel Multivariate Analysis: Case of a Developing Country","year":2018,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Multivariate statistics; Multivariate analysis; Debt; Multilevel model; Economics; Household debt; Business; Econometrics; Statistics; Finance; Mathematics","score_opus":0.09649812243654611,"score_gpt":0.2877140716512282,"score_spread":0.1912159492146821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2893190628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9807807,0.0027350618,0.009057631,0.00014011683,0.0007542327,0.00022889477,0.00031507944,0.000007406606,0.0059808674],"genre_scores_gemma":[0.9613644,0.010814131,0.027107485,0.0004460561,0.00022608273,0.0000027170506,0.0000069449607,0.000021554424,0.000010645425],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963102,0.000058326954,0.0030628513,0.00029085195,0.000029008597,0.00024880457],"domain_scores_gemma":[0.99404347,0.00009543958,0.005195969,0.0004020548,0.00015317214,0.0001098793],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002013816,0.0002435926,0.0016463834,0.00030407333,0.00007151546,0.00004432964,0.00034162393,0.00016209438,0.00005026202],"category_scores_gemma":[0.00031884166,0.00025260678,0.00051486696,0.00046958277,0.00017358435,0.0004944438,0.000058780064,0.0001537741,0.00003543606],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009719119,0.00047058225,0.4102281,0.0012753995,0.005993458,0.00011130332,0.0044627544,0.010847547,0.00007693286,0.51484823,0.0038331817,0.04688058],"study_design_scores_gemma":[0.014690955,0.0034920366,0.16875765,0.003529626,0.0036391465,0.0022635804,0.0011160747,0.099132255,0.0037192057,0.29429537,0.40044034,0.0049237465],"about_ca_topic_score_codex":0.000415459,"about_ca_topic_score_gemma":0.00029791766,"teacher_disagreement_score":0.39660716,"about_ca_system_score_codex":0.00046031503,"about_ca_system_score_gemma":0.00014347098,"threshold_uncertainty_score":0.9999926},"labels":[],"label_agreement":null},{"id":"W2894234722","doi":"10.5430/afr.v7n4p59","title":"Housing Price and Population Changes: Growing vs Shrinking Cities","year":2018,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Recession; Economics; Unemployment; Population; Great recession; Per capita; Demographic economics; Unemployment rate; Labour economics; Variable (mathematics); Monetary economics; Economic growth; Macroeconomics; Demography","score_opus":0.06976178955557227,"score_gpt":0.289477393349582,"score_spread":0.21971560379400973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894234722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97357976,0.001222626,0.00021125318,0.0004951319,0.000290456,0.0001173081,0.000004649333,0.00004125502,0.024037527],"genre_scores_gemma":[0.99490875,0.0030746036,0.000830607,0.00013758142,0.0007908079,0.000011307181,0.000004207958,0.000031243868,0.00021090833],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998527,0.000022886867,0.0003034196,0.00046885054,0.00006039519,0.0006174413],"domain_scores_gemma":[0.99939144,0.00015084248,0.00014008491,0.00020808558,0.000069865884,0.00003966576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028436896,0.0001262891,0.0002710216,0.00038474638,0.00083126925,0.0004320843,0.00013821236,0.00011506411,0.000023977973],"category_scores_gemma":[0.00027952835,0.00015510095,0.000023348148,0.00032399845,0.00022270343,0.0006432865,0.00020992095,0.00025664814,0.000054615968],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052908425,0.000022576385,0.7510667,0.00016403741,0.00002113687,0.0000047485787,0.0021558758,0.000012801187,0.00007581488,0.13638058,0.0002371045,0.109805726],"study_design_scores_gemma":[0.0012796689,0.00039557475,0.6394617,0.00071325275,0.000009709578,0.000036446887,0.0016244848,0.051069368,0.00030349597,0.16839595,0.13543732,0.0012730231],"about_ca_topic_score_codex":0.001054977,"about_ca_topic_score_gemma":0.00015305597,"teacher_disagreement_score":0.13520022,"about_ca_system_score_codex":0.000092200375,"about_ca_system_score_gemma":0.000016167527,"threshold_uncertainty_score":0.6393535},"labels":[],"label_agreement":null},{"id":"W2895502200","doi":"10.1016/j.jtrangeo.2018.09.011","title":"Exploring difference in value uplift resulting from new bus rapid transit routes within a medium size metropolitan area","year":2018,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Metropolitan area; Bus rapid transit; Transport engineering; Estimator; Real estate; Econometrics; Exploratory analysis; Empirical research; Statistics; Business; Geography; Computer science; Mathematics; Engineering; Public transport; Finance; Data science","score_opus":0.05990890615148341,"score_gpt":0.21432030791443865,"score_spread":0.15441140176295526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895502200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891539,0.0010018019,0.0030149345,0.00056295085,0.0015743568,0.00010961798,0.000086859276,0.000028617327,0.0044669425],"genre_scores_gemma":[0.9905618,0.0016265566,0.0067814454,0.00015643865,0.0007953682,0.0000036420827,0.000008317917,0.00004364262,0.00002281252],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969803,0.000025802785,0.0019851837,0.00041095493,0.000104025,0.0004937029],"domain_scores_gemma":[0.99812037,0.00020225502,0.0009959819,0.00031714464,0.00006408404,0.0003001717],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012873393,0.0002962704,0.0009623668,0.0008846144,0.000109796354,0.00007131918,0.0004966386,0.00014085197,0.0002606595],"category_scores_gemma":[0.00011676994,0.0003158643,0.0005100471,0.00060602295,0.00014144024,0.0006976138,0.00001353435,0.00048533388,0.0000143878915],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000491924,0.00015680905,0.9891389,0.000026016145,0.00028042754,0.00006045644,0.0054761847,0.0002522352,0.00022071246,0.0013909796,0.000049756945,0.002455625],"study_design_scores_gemma":[0.0026876137,0.00037125853,0.96598774,0.00027543315,0.0000739162,0.0000136802755,0.0010119986,0.0005892982,0.00086319394,0.025192916,0.002368371,0.0005645551],"about_ca_topic_score_codex":0.0046743257,"about_ca_topic_score_gemma":0.0012011485,"teacher_disagreement_score":0.023801936,"about_ca_system_score_codex":0.00013606217,"about_ca_system_score_gemma":0.000084351326,"threshold_uncertainty_score":0.99992937},"labels":[],"label_agreement":null},{"id":"W2896628673","doi":"","title":"Essays in Environmental and Behavioral Economics","year":2018,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Valuation (finance); Damages; Price elasticity of demand; Volatility (finance); Externality; Demand shock; Natural resource economics; Public economics; Microeconomics; Financial economics; Finance","score_opus":0.02016738624308454,"score_gpt":0.19473469691745515,"score_spread":0.17456731067437062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896628673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8776638,0.00015398697,0.000023049684,0.00020100274,0.00017836467,0.0001262337,0.0018688258,0.00006560992,0.11971913],"genre_scores_gemma":[0.9981607,0.00021699206,0.00041046002,0.0003030935,0.00018535389,0.000015810409,0.000200787,0.00007245605,0.00043434397],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99834627,0.000012053612,0.0006352077,0.0005518566,0.00002037806,0.00043421573],"domain_scores_gemma":[0.999282,0.00003576909,0.00017719662,0.00030252791,0.0000021699454,0.00020033517],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00022227757,0.0002385735,0.0003607966,0.00026194652,0.000103862,0.00082076085,0.00026851005,0.00016747463,0.0016296067],"category_scores_gemma":[0.000019712335,0.00030322713,0.00008644457,0.00010158846,0.00022584111,0.0028551642,0.00024580324,0.00023887567,0.006028843],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004972061,0.00015228141,0.97658134,0.000007894897,0.000010329768,0.000006734367,0.00006149115,0.0000012409794,0.000005537276,0.01350009,0.0002869573,0.009336385],"study_design_scores_gemma":[0.0021146322,0.00032529098,0.21563901,0.000035173533,0.000008905527,0.000031684944,0.00012704132,0.0015210207,0.00031320888,0.25384772,0.5246017,0.0014345858],"about_ca_topic_score_codex":0.000008101446,"about_ca_topic_score_gemma":0.000007775887,"teacher_disagreement_score":0.76094234,"about_ca_system_score_codex":0.00008673071,"about_ca_system_score_gemma":0.000018256835,"threshold_uncertainty_score":0.999942},"labels":[],"label_agreement":null},{"id":"W2898016295","doi":"10.3386/w25152","title":"State Dependent Effects of Monetary Policy: the Refinancing Channel","year":2018,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Monetary policy; State (computer science); Channel (broadcasting); Monetary economics; Economics; Business; Telecommunications; Computer science","score_opus":0.225033864033828,"score_gpt":0.42350709952522503,"score_spread":0.19847323549139703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898016295","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02833153,0.0034434714,0.000050892315,0.0009409943,0.0020811544,0.00093066215,0.0005000425,0.000020758398,0.9637005],"genre_scores_gemma":[0.97445405,0.012744089,0.00011422299,0.000046616722,0.0020476007,0.00010658724,0.00018958485,0.000110027766,0.010187248],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99614394,0.00011469315,0.0018614887,0.00079632754,0.00039298087,0.0006905894],"domain_scores_gemma":[0.99538577,0.0013186258,0.0015674655,0.00078734447,0.00082277873,0.000118039985],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.010763489,0.00032785133,0.0011403874,0.0017347287,0.00022193143,0.00008427493,0.0010692424,0.00043317623,0.00021277416],"category_scores_gemma":[0.0025915788,0.0003316305,0.00036189036,0.00031592167,0.0005509564,0.00021499912,0.00043358657,0.00076760905,0.00054535497],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046899827,0.0005962367,0.009366723,0.004275245,0.0023657056,0.000021106609,0.0018856656,0.006130135,0.00008603437,0.7577103,0.20536311,0.011730784],"study_design_scores_gemma":[0.00073711626,0.00025178413,0.0031409708,0.00026099355,0.000015892841,0.000017761702,0.00003305631,0.0024875018,0.0006352792,0.95472884,0.037210695,0.00048010366],"about_ca_topic_score_codex":0.013137713,"about_ca_topic_score_gemma":0.0007243186,"teacher_disagreement_score":0.95351326,"about_ca_system_score_codex":0.00259418,"about_ca_system_score_gemma":0.0028033182,"threshold_uncertainty_score":0.9999136},"labels":[],"label_agreement":null},{"id":"W2898438450","doi":"10.3390/jrfm11040069","title":"Risk Assessment of Housing Market Segments: The Lender’s Perspective","year":2018,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Apartment; Business; Market risk; Perspective (graphical); Portfolio; Risk management; Actuarial science; Investment (military); Finance; Engineering; Computer science; Civil engineering","score_opus":0.01336782486843414,"score_gpt":0.23206260890245725,"score_spread":0.21869478403402312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898438450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6508285,0.0015923394,0.1227665,0.00044524446,0.0020626069,0.0003448376,0.00010055925,0.000012706714,0.22184673],"genre_scores_gemma":[0.98303187,0.011637972,0.004669368,0.000093789014,0.00042500583,0.0000021077433,3.226405e-7,0.000014961154,0.00012457657],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99874926,0.00004829836,0.0007389631,0.00019465043,0.00006211303,0.00020670262],"domain_scores_gemma":[0.9982035,0.00007166315,0.0013485699,0.00021168249,0.000111120105,0.000053460684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020579784,0.00013519668,0.00039161157,0.0002524954,0.00026002518,0.00007561209,0.0002242789,0.000056092704,0.00012135622],"category_scores_gemma":[0.00014454534,0.00011449874,0.00015308667,0.00017122125,0.0001610675,0.00021815253,0.00012285664,0.00023519999,0.000008244737],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034041965,0.0003989351,0.5399583,0.00008068098,0.00043265658,0.00002402357,0.004186275,0.00018668865,0.0000023722416,0.2181514,0.009484716,0.22675352],"study_design_scores_gemma":[0.0016138421,0.00040519086,0.7497065,0.00006880013,0.00014795596,0.000009607617,0.002419084,0.0019806826,0.000010201175,0.11646914,0.126894,0.00027497252],"about_ca_topic_score_codex":0.00017629196,"about_ca_topic_score_gemma":0.00006301785,"teacher_disagreement_score":0.33220342,"about_ca_system_score_codex":0.00016620838,"about_ca_system_score_gemma":0.000027528939,"threshold_uncertainty_score":0.46691233},"labels":[],"label_agreement":null},{"id":"W2898498458","doi":"10.3390/j1010015","title":"Revisiting the Relationship between Financial Wealth, Housing Wealth, and Consumption: A Panel Analysis for the U.S.","year":2018,"lang":"en","type":"article","venue":"J — Multidisciplinary Scientific Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Consumption (sociology); Metropolitan area; Wealth elasticity of demand; Incentive; Recession; Quarter (Canadian coin); Great recession; Wealth distribution; National wealth; Distribution (mathematics); Work (physics); Monetary economics; Labour economics; Finance; Macroeconomics; Inequality; Microeconomics","score_opus":0.1454044955494185,"score_gpt":0.31017842041130417,"score_spread":0.16477392486188566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898498458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9500051,0.0013889737,0.03917213,0.0062188297,0.0020673848,0.0003668812,0.00011915859,0.000025541733,0.00063598494],"genre_scores_gemma":[0.99422663,0.00017628272,0.0022071379,0.00006379053,0.0026722716,0.000013207516,0.000018409417,0.000021097141,0.00060117344],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978352,0.0000755114,0.0009867928,0.00050675793,0.000080844155,0.00051485654],"domain_scores_gemma":[0.99688923,0.0014652193,0.0008968626,0.00047170112,0.0001168295,0.00016012954],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.007487491,0.00018131672,0.00040318907,0.0004157169,0.0070275012,0.0009833857,0.00040701276,0.00011572,0.00010631573],"category_scores_gemma":[0.0008095387,0.0001351154,0.0002767556,0.0007334282,0.00072774047,0.00042558662,0.00016334615,0.00043602075,0.00011807024],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030818483,0.000010315949,0.9853086,0.000025578493,0.00008797552,9.674537e-7,0.0025215459,0.00015569151,0.0000017671339,0.0046663415,0.00039264836,0.0067977356],"study_design_scores_gemma":[0.00044261478,0.000034685592,0.95024544,0.000034116045,0.00014235091,0.000019563464,0.00040355278,0.0221395,0.0000017909294,0.014538091,0.011795822,0.000202454],"about_ca_topic_score_codex":0.000031150666,"about_ca_topic_score_gemma":0.00014900745,"teacher_disagreement_score":0.044221513,"about_ca_system_score_codex":0.00014016505,"about_ca_system_score_gemma":0.00011811974,"threshold_uncertainty_score":0.9942652},"labels":[],"label_agreement":null},{"id":"W2898664818","doi":"","title":"부동산 경매시장의 아파트 낙찰가격에 영향을 미치는 요인들에 관한 연구","year":2013,"lang":"ko","type":"article","venue":"부동산학보","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Quarter (Canadian coin); Economics; Order (exchange); Econometrics; Value (mathematics); Monetary economics; Price level; Financial economics; Finance; Statistics; Mathematics; Geography","score_opus":0.021230684405257026,"score_gpt":0.18849286390958855,"score_spread":0.16726217950433153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898664818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71981764,0.0014855228,0.0003351911,0.0030933334,0.003935932,0.00055075926,0.00017862632,0.000120217686,0.2704828],"genre_scores_gemma":[0.9753282,0.0031704467,0.0009484332,0.0015292612,0.0011754183,0.00006366549,0.00006526829,0.0001610313,0.01755825],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99605507,0.00004416679,0.0014900884,0.0011039305,0.00006633722,0.001240393],"domain_scores_gemma":[0.99740493,0.00015207696,0.0007380515,0.0011883231,0.00007799144,0.00043865302],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00086158,0.00057219714,0.0010957271,0.0004606369,0.00036356488,0.0008173941,0.0007848278,0.0005680816,0.021280045],"category_scores_gemma":[0.00019310234,0.0007539686,0.00045781521,0.00037811868,0.00019016219,0.000943872,0.0003018118,0.00056074496,0.05250938],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008251845,0.00078578864,0.6921179,0.0003984108,0.00059408357,0.000045160526,0.0021436238,0.00030474848,0.00008436163,0.06991066,0.1621555,0.0713772],"study_design_scores_gemma":[0.00276561,0.00035665266,0.27101418,0.0001524094,0.0000850924,0.00003901331,0.00050254836,0.027781228,0.00017896791,0.06561095,0.62854385,0.0029695171],"about_ca_topic_score_codex":0.002102439,"about_ca_topic_score_gemma":0.00014832812,"teacher_disagreement_score":0.46638834,"about_ca_system_score_codex":0.00038249468,"about_ca_system_score_gemma":0.00009215666,"threshold_uncertainty_score":0.99949116},"labels":[],"label_agreement":null},{"id":"W2899197731","doi":"","title":"Do Financial Constraints Cool a Housing Boom","year":2018,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Boom; Bidding; Listing (finance); Common value auction; Business; Finance; Economics; Microeconomics; Marketing","score_opus":0.05288399534688448,"score_gpt":0.2915972001230601,"score_spread":0.23871320477617564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899197731","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48793316,0.0003565785,0.000062799656,0.00022794587,0.0024774347,0.00090825435,0.0004889042,0.00010055857,0.5074444],"genre_scores_gemma":[0.98522514,0.009732451,0.0016638457,0.00025750726,0.0015214187,0.00020930028,0.00011554805,0.00022363271,0.0010511815],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9934389,0.00015709767,0.002176425,0.002281722,0.000109145694,0.0018367106],"domain_scores_gemma":[0.99621964,0.00042070865,0.0009069724,0.0019047783,0.00013644755,0.0004114529],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.005280984,0.00070547825,0.0016768517,0.0015105509,0.00041108928,0.0007752253,0.001447721,0.0013333489,0.0015818352],"category_scores_gemma":[0.0014904806,0.0009894774,0.0004903555,0.00026933974,0.001410287,0.00028018915,0.0018827016,0.0025854073,0.0007118385],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009940136,0.0011387769,0.16739966,0.0010440728,0.0006673784,0.00029006798,0.0030889895,0.0067933374,0.000024867357,0.04316851,0.004687075,0.77070326],"study_design_scores_gemma":[0.006697341,0.0006950786,0.04516078,0.001798682,0.000057233567,0.00008909143,0.0010966936,0.060284406,0.00017252266,0.30504882,0.5717408,0.0071585127],"about_ca_topic_score_codex":0.0002373076,"about_ca_topic_score_gemma":0.00045237964,"teacher_disagreement_score":0.76354474,"about_ca_system_score_codex":0.0021801654,"about_ca_system_score_gemma":0.0009276245,"threshold_uncertainty_score":0.9999631},"labels":[],"label_agreement":null},{"id":"W2899362913","doi":"","title":"Explaining changes in house prices","year":2002,"lang":"de","type":"article","venue":"BIS quarterly review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":169,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Stock (firearms); Equity (law); Consumer spending; Interest rate; House price; Context (archaeology); Monetary economics; Macroeconomics","score_opus":0.05994508347721608,"score_gpt":0.23348091731164308,"score_spread":0.173535833834427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899362913","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017340507,0.91552466,0.00005772827,0.0051038857,0.0023742425,0.0008713128,0.00006718913,0.00012479331,0.058535695],"genre_scores_gemma":[0.103993855,0.8924312,0.00030635658,0.0018269027,0.0005768149,0.00009818571,0.000012834388,0.00011319992,0.00064064993],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99679923,0.000074506526,0.0014826134,0.00081848487,0.000051365623,0.0007737718],"domain_scores_gemma":[0.99803334,0.00012249728,0.0008730477,0.00076441764,0.000022463535,0.00018422097],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014695717,0.00043439885,0.0014818852,0.00042557277,0.00011793096,0.00022494387,0.0004942424,0.00022590783,0.00377812],"category_scores_gemma":[0.000073150855,0.0005417114,0.00025961665,0.00059283106,0.00006722733,0.0003976473,0.00004298106,0.00033766587,0.011258587],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012482013,0.00043437467,0.018115597,0.0076318285,0.00015976494,0.00006992644,0.005009276,0.0000036877052,0.0000015235795,0.0046456736,0.028409809,0.93550605],"study_design_scores_gemma":[0.0005667415,0.00035768197,0.0012177605,0.0037896007,0.00005513398,0.0000068502613,0.00014564213,0.0018045929,6.314249e-7,0.00025802496,0.9910193,0.00077803485],"about_ca_topic_score_codex":0.00011498445,"about_ca_topic_score_gemma":0.00036968093,"teacher_disagreement_score":0.96260947,"about_ca_system_score_codex":0.00020430687,"about_ca_system_score_gemma":0.000018602983,"threshold_uncertainty_score":0.99970347},"labels":[],"label_agreement":null},{"id":"W2899917893","doi":"10.1111/1540-6229.12267","title":"Immigration, Capital Flows and Housing Prices","year":2018,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"","keywords":"Economics; Capital flows; Capital (architecture); Immigration; Monetary economics; Macroeconomics; Neoclassical economics; Geography","score_opus":0.015525102526322408,"score_gpt":0.20128663657625204,"score_spread":0.18576153404992962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899917893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8227712,0.000046189783,0.0004301593,0.00021714669,0.0006178859,0.00012022637,0.00005964099,0.00006635232,0.17567119],"genre_scores_gemma":[0.9813931,0.014788439,0.0028890837,0.00012139861,0.0005390671,0.000008564116,0.00002795218,0.000055830962,0.00017658273],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983961,0.000008076837,0.00066549797,0.0005254161,0.00001095496,0.00039396636],"domain_scores_gemma":[0.9991066,0.000049114453,0.00035479973,0.000310047,0.000029511786,0.00014997015],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004671626,0.00021296281,0.00039982868,0.00019275687,0.000241241,0.0002596667,0.00016613089,0.00012156799,0.00016412332],"category_scores_gemma":[0.000026987045,0.00027535154,0.000073623254,0.00008338674,0.00016265054,0.00060743804,0.00008910206,0.000103357794,0.0007229799],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002672672,0.00025545168,0.32680613,0.00015485319,0.00036070676,0.000015719865,0.018342454,0.000874501,0.000114635804,0.31353816,0.0018800396,0.33739007],"study_design_scores_gemma":[0.0033515377,0.0007985471,0.09560912,0.000050776252,0.000056805395,0.00008284295,0.0025566274,0.2955953,0.000566769,0.14094558,0.45705298,0.003333125],"about_ca_topic_score_codex":0.0016246442,"about_ca_topic_score_gemma":0.003214322,"teacher_disagreement_score":0.45517293,"about_ca_system_score_codex":0.00016483421,"about_ca_system_score_gemma":0.000040155348,"threshold_uncertainty_score":0.99996984},"labels":[],"label_agreement":null},{"id":"W2900303813","doi":"10.1111/manc.12495","title":"Consumption response to aggregate shocks and the role of leverage","year":2024,"lang":"en","type":"article","venue":"Manchester School","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Association for Applied Econometrics; University of Ottawa","keywords":"Leverage (statistics); Financial crisis; Survey data collection; Monetary economics; Consumption (sociology); Economics; Asset (computer security); Demand shock; Business; Macroeconomics","score_opus":0.017194027454642487,"score_gpt":0.21123512922168458,"score_spread":0.1940411017670421,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900303813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98266286,0.0033427377,0.0007771361,0.0014394298,0.00030378875,0.00019122954,0.000024294732,0.000035483416,0.011223032],"genre_scores_gemma":[0.9980183,0.0003457911,0.00022341232,0.00028258518,0.00007158281,0.000022224427,0.0000013800609,0.000018092764,0.0010166081],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99921936,0.000030600142,0.00033353237,0.0002506834,0.00001667964,0.00014914152],"domain_scores_gemma":[0.9994477,0.00014577432,0.00006977415,0.00025817254,0.000007732323,0.000070833165],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011241221,0.00009547724,0.00022389578,0.00014647722,0.0000472742,0.00017390549,0.00012322587,0.000055445184,0.00023359846],"category_scores_gemma":[0.000114379225,0.00008585332,0.00006479085,0.00008596066,0.00006346709,0.00016756478,0.000083774095,0.00011325269,0.0009332463],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0077007664,0.000115203184,0.57134885,0.0006600407,0.00053274585,0.000040023056,0.019870652,0.00039613733,0.0018561915,0.25248885,0.006695955,0.1382946],"study_design_scores_gemma":[0.0028900518,0.00015886339,0.24261655,0.00029125338,0.000043318192,0.000043431744,0.00037051697,0.024884287,0.0015920255,0.1370976,0.5892058,0.000806326],"about_ca_topic_score_codex":0.00002808696,"about_ca_topic_score_gemma":0.00000753639,"teacher_disagreement_score":0.5825098,"about_ca_system_score_codex":0.000050388448,"about_ca_system_score_gemma":0.000014121895,"threshold_uncertainty_score":0.9998447},"labels":[],"label_agreement":null},{"id":"W2900552035","doi":"10.23889/ijpds.v3i5.1059","title":"Housing Affordability: Local and National Perspectives","year":2018,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Index (typography); Quarter (Canadian coin); Affordable housing; American Community Survey; Demographic economics; Business; Construct (python library); Value (mathematics); Ethnic group; Actuarial science; Economics; Geography; Economic growth; Census; Political science; Statistics; Demography; Sociology; Population","score_opus":0.0894408026372858,"score_gpt":0.34091419664537254,"score_spread":0.25147339400808677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900552035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.714421,0.00017022582,0.25568217,0.0034940445,0.005739317,0.00021144413,0.0006681592,0.000043614313,0.019570066],"genre_scores_gemma":[0.9899551,0.00007156096,0.008973518,0.00014625509,0.0007433045,0.0000015542536,0.00004618602,0.000008318812,0.00005416131],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989162,0.000005680112,0.0003848641,0.00039001173,0.00012964007,0.00017358348],"domain_scores_gemma":[0.9990193,0.000046234854,0.0002721123,0.00018280269,0.00039757756,0.00008191857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022115866,0.00007386373,0.000111939604,0.00034010655,0.00046536318,0.00053799927,0.00075757096,0.000030949304,0.00010782618],"category_scores_gemma":[0.00091726455,0.00008210657,0.000029372006,0.00013958335,0.0004452981,0.0024528678,0.0002374582,0.00007658529,0.000029806666],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012770348,0.00010696382,0.19677138,0.0000068129293,0.000062996805,0.0000011528973,0.0010334649,0.00032707548,0.00006115475,0.74418795,0.0020609163,0.055252418],"study_design_scores_gemma":[0.0009733379,0.00011152448,0.1494969,0.000029149445,0.0000062924887,0.00012241355,0.00073632784,0.4162932,0.000040602423,0.34959128,0.08219971,0.00039926465],"about_ca_topic_score_codex":0.00010934769,"about_ca_topic_score_gemma":0.000090530484,"teacher_disagreement_score":0.41596612,"about_ca_system_score_codex":0.0003230076,"about_ca_system_score_gemma":0.00008380122,"threshold_uncertainty_score":0.5187939},"labels":[],"label_agreement":null},{"id":"W2900629301","doi":"","title":"Household Wealth and Consumption","year":2007,"lang":"en","type":"article","venue":"Economic Trends","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Home equity; Equity (law); Real estate; Quarter (Canadian coin); Debt; Consumption (sociology); Economics; Statistic; Business; Market value; Personal consumption expenditures price index; Finance; Economic growth; Personal income; Geography; Political science","score_opus":0.04264256436414501,"score_gpt":0.2365479205178371,"score_spread":0.1939053561536921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900629301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6433014,0.00039489396,0.0003881159,0.00021019434,0.00073342957,0.000038134975,0.0000685682,0.00008177033,0.35478348],"genre_scores_gemma":[0.9937414,0.000663999,0.00048677248,0.00022174421,0.0002811041,0.0000036890965,0.000018870522,0.00003715361,0.004545246],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99853647,0.000005508103,0.0006260948,0.0004305399,0.000009091769,0.00039231373],"domain_scores_gemma":[0.9992219,0.00005965674,0.0002715296,0.0002809836,0.0000027060926,0.0001631998],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010000768,0.00016164195,0.00034374712,0.00040329646,0.00011500605,0.000088492394,0.00012565586,0.000120052595,0.0009938854],"category_scores_gemma":[0.000010575142,0.0002167484,0.000076693424,0.00005249761,0.00008451509,0.0002598454,0.000038934082,0.0001229321,0.0010178732],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000636023,0.00005130101,0.6494927,0.00002797959,0.000060441333,0.0000063027896,0.0003658426,0.00007356987,0.000009340908,0.26192722,0.0069623007,0.08095944],"study_design_scores_gemma":[0.0013255109,0.0000707596,0.6029066,0.000009000364,0.000008607538,0.000034557717,0.00004826465,0.001494932,0.000064596614,0.016519295,0.37691742,0.0006004637],"about_ca_topic_score_codex":0.00016936142,"about_ca_topic_score_gemma":0.00034300057,"teacher_disagreement_score":0.36995512,"about_ca_system_score_codex":0.00023109415,"about_ca_system_score_gemma":0.000011415299,"threshold_uncertainty_score":0.99991935},"labels":[],"label_agreement":null},{"id":"W2900660406","doi":"10.5539/ijef.v10n12p96","title":"Influential Factors of Residential Commodity Price Changes in Sanya","year":2018,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Gross domestic product; Commodity; Economics; Per capita; Agricultural economics; Price index; Per capita income; Product (mathematics); Producer price index; Price level; Economic growth; Macroeconomics; Market economy; Mid price","score_opus":0.027893598457112586,"score_gpt":0.2363784403528901,"score_spread":0.2084848418957775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900660406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99034226,0.00023546423,0.0001366093,0.00050481193,0.0021912514,0.000044434426,0.00008029465,0.0000017600662,0.006463107],"genre_scores_gemma":[0.99377835,0.00512996,0.0004974289,0.00008057066,0.00044553206,8.025883e-7,0.0000032018338,0.000011708149,0.000052471994],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987927,0.000009602251,0.0008572963,0.00016813898,0.000022922803,0.00014933785],"domain_scores_gemma":[0.99856406,0.00005615953,0.0011186082,0.00011563658,0.00011095081,0.00003456892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005693347,0.00010881488,0.00038756774,0.00037184684,0.000032231408,0.00006492848,0.00036443595,0.00008183777,0.000087337314],"category_scores_gemma":[0.00009113425,0.00012815805,0.00008386774,0.00005837075,0.00014302555,0.00035122284,0.000095397896,0.00012646714,0.000010483203],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009806565,0.00045318037,0.5428945,0.000038476413,0.00040054249,0.000030010264,0.0035580397,0.0025848271,0.000108265194,0.42880273,0.0012338025,0.01891496],"study_design_scores_gemma":[0.0058355713,0.000930829,0.5234704,0.00023372383,0.000022668768,0.00014185905,0.0003494913,0.020522939,0.004798962,0.18869784,0.25402063,0.0009750782],"about_ca_topic_score_codex":0.00018896011,"about_ca_topic_score_gemma":0.0005593254,"teacher_disagreement_score":0.25278684,"about_ca_system_score_codex":0.0001083805,"about_ca_system_score_gemma":0.000042924,"threshold_uncertainty_score":0.52261335},"labels":[],"label_agreement":null},{"id":"W2901314722","doi":"","title":"Housing prices and mortgage credit in Luxembourg","year":2018,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Subsidy; Monetary economics; Incentive; Interest rate; Quarter (Canadian coin); Supply side; Macroeconomics; Microeconomics; Market economy","score_opus":0.05222462068353704,"score_gpt":0.2928889736778477,"score_spread":0.2406643529943107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901314722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6989926,0.00050066435,0.000009410187,0.00025209333,0.0009054551,0.00053708703,0.0000968636,0.000044139084,0.29866168],"genre_scores_gemma":[0.96651554,0.030090706,0.001492436,0.00010802819,0.000741375,0.00009881066,0.00005495785,0.00016380995,0.0007343062],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9949326,0.00010721195,0.0017208987,0.0018295894,0.00007433064,0.0013353495],"domain_scores_gemma":[0.9973917,0.00042122044,0.0006366283,0.0012204305,0.000054590124,0.0002754411],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005324603,0.000514414,0.0013423811,0.0018867841,0.00021340279,0.00056794187,0.00087161496,0.0008583825,0.000309072],"category_scores_gemma":[0.00063629367,0.00070840796,0.00019009833,0.00025489167,0.00057784654,0.00034972053,0.0018001165,0.0020202347,0.00010329685],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026161148,0.0004712749,0.85629284,0.00085239386,0.0002186613,0.0001486105,0.0025330102,0.005209799,0.000013025236,0.009028482,0.00045742063,0.12451288],"study_design_scores_gemma":[0.004757248,0.00044017195,0.3820338,0.0014267646,0.000024879868,0.00004435761,0.0017380851,0.18229786,0.000092301576,0.21335249,0.20898342,0.0048086434],"about_ca_topic_score_codex":0.00073402177,"about_ca_topic_score_gemma":0.0018026133,"teacher_disagreement_score":0.47425905,"about_ca_system_score_codex":0.0014582415,"about_ca_system_score_gemma":0.00028408403,"threshold_uncertainty_score":0.9995367},"labels":[],"label_agreement":null},{"id":"W2901705285","doi":"10.1111/iere.12624","title":"HETEROGENEITY, FRICTIONAL ASSIGNMENT, AND HOME‐OWNERSHIP","year":2023,"lang":"en","type":"article","venue":"International Economic Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Queen's University","funders":"","keywords":"Renting; Stock (firearms); Matching (statistics); Business; Value (mathematics); Economics; Quality (philosophy); Microeconomics","score_opus":0.06947377027956474,"score_gpt":0.27827281521587965,"score_spread":0.2087990449363149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901705285","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22961062,0.027203616,0.00073404383,0.02318207,0.008761681,0.0008289196,0.0007731287,0.00043238862,0.7084735],"genre_scores_gemma":[0.6830531,0.31024846,0.0003185396,0.0023526256,0.0006842417,0.000108616594,0.00022737232,0.00005898863,0.0029481],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99862146,0.000013748448,0.00067866506,0.00043408645,0.00002694245,0.0002251106],"domain_scores_gemma":[0.9993048,0.00007419535,0.00029664682,0.0002175579,0.000012495245,0.00009434386],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008646203,0.00015335192,0.0003823514,0.00021554569,0.00007493823,0.00010980179,0.0002853556,0.000060924107,0.0018616134],"category_scores_gemma":[0.000059091635,0.00018289479,0.0001440198,0.0000763971,0.000037404665,0.00030007184,0.00014257163,0.00009483796,0.008095244],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025992947,0.00007836764,0.18597499,0.0006410069,0.00055421673,0.000016173559,0.000098519275,0.00038187767,0.000012351087,0.6137664,0.12910384,0.06934631],"study_design_scores_gemma":[0.00034270517,0.000017200879,0.017561452,0.00015754318,0.000008815905,0.000025022113,0.000007927314,0.004686648,0.000006568657,0.025365293,0.95150536,0.00031543072],"about_ca_topic_score_codex":0.000039470753,"about_ca_topic_score_gemma":0.000017096701,"teacher_disagreement_score":0.8224015,"about_ca_system_score_codex":0.00024315953,"about_ca_system_score_gemma":0.00002099589,"threshold_uncertainty_score":0.9990508},"labels":[],"label_agreement":null},{"id":"W2902004776","doi":"10.29117/sbe.2015.0087","title":"Modelling and Forecasting Property Types’ Price Changes and Correlations within the City of Manchester, UK","year":2015,"lang":"en","type":"article","venue":"Studies in Business and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Residential real estate; Sample (material); Quarter (Canadian coin); Price index; Capitalization rate; Property (philosophy); Aggregate (composite); Econometrics; Economics; Business; Geography; Real estate investment trust; Finance; Archaeology","score_opus":0.2118822212325786,"score_gpt":0.24740018279170428,"score_spread":0.03551796155912568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902004776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870203,0.004536441,0.00044387195,0.00076977414,0.00039620305,0.00016291557,0.00001535171,0.0000070052274,0.0066481377],"genre_scores_gemma":[0.9876741,0.010912361,0.0011475809,0.00006222014,0.00007309227,0.000014965442,0.0000020485893,0.000013892853,0.000099718134],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913126,0.00000835251,0.00043576735,0.0002602938,0.000009238223,0.00015505802],"domain_scores_gemma":[0.99935496,0.000104150095,0.00031383504,0.00013543844,0.000051046773,0.00004056543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008389204,0.00012837452,0.00040397648,0.00009735129,0.0001284024,0.00005117561,0.00006749034,0.000059725382,0.0000020703737],"category_scores_gemma":[0.00015199214,0.000101038575,0.00001360711,0.00009792455,0.0002498884,0.00016916025,0.00018312133,0.00008314941,0.0000012345212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012807874,0.000050478942,0.85115397,0.00039797925,0.00017833494,0.0000017359356,0.01906418,0.060749672,6.9762086e-7,0.059392564,0.00008583734,0.008796499],"study_design_scores_gemma":[0.0020262748,0.000095563744,0.047275417,0.00020102692,0.0000384115,0.000040306273,0.008637565,0.8432576,0.0000068216186,0.09144161,0.0062263217,0.00075307314],"about_ca_topic_score_codex":0.00031370617,"about_ca_topic_score_gemma":0.0005132141,"teacher_disagreement_score":0.80387855,"about_ca_system_score_codex":0.00005249918,"about_ca_system_score_gemma":0.00001711397,"threshold_uncertainty_score":0.41202334},"labels":[],"label_agreement":null},{"id":"W2902615886","doi":"10.5539/ass.v14n12p134","title":"Do Political Institutions Affect Housing Prices in Malaysia?","year":2018,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Politics; Economics; Democracy; Institution; Balance (ability); Corporate governance; Government (linguistics); Affect (linguistics); Outcome (game theory); Short run; Political economy; Economic system; Macroeconomics; Political science; Microeconomics; Finance; Sociology","score_opus":0.044641085157423495,"score_gpt":0.2861369475667576,"score_spread":0.24149586240933413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902615886","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34472772,0.000010613718,0.0005609334,0.00068303326,0.00037163007,0.00006179586,0.0000063654165,0.000024004901,0.6535539],"genre_scores_gemma":[0.998556,0.000005738618,0.00072490843,0.00022280394,0.00044743757,0.000004823641,7.61459e-7,0.000008270225,0.00002926363],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99869394,0.000007106654,0.00028297608,0.00037957315,0.000041561194,0.000594812],"domain_scores_gemma":[0.99959266,0.000017885905,0.0001020348,0.00015093399,0.000022889357,0.00011359194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009441279,0.000091085916,0.0001951678,0.0002853347,0.00053760497,0.0002366782,0.00034672298,0.000073613766,0.00013621047],"category_scores_gemma":[0.00016516852,0.00011171105,0.00005077218,0.0008707844,0.0011854302,0.0005585174,0.00010042324,0.00010986195,0.00050685834],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030852534,0.000029794055,0.037341658,0.0000030618396,0.0000017508465,0.000001670616,0.00085586205,6.41945e-7,0.000021268337,0.9523118,0.000055054203,0.009374335],"study_design_scores_gemma":[0.00061253767,0.00010067263,0.75468487,0.000029664214,0.0000046140385,0.000006546079,0.001405049,0.0009706649,0.00018787649,0.2102316,0.031101162,0.0006647292],"about_ca_topic_score_codex":0.00020455268,"about_ca_topic_score_gemma":0.00011521489,"teacher_disagreement_score":0.7420802,"about_ca_system_score_codex":0.00039707407,"about_ca_system_score_gemma":0.00013929266,"threshold_uncertainty_score":0.65148073},"labels":[],"label_agreement":null},{"id":"W2903508119","doi":"","title":"An Empirical Investigation on the European Housing Market Prices","year":2018,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Econometrics; Relative price; Stock market; Autoregressive model; Financial economics; Set (abstract data type); Interpretation (philosophy); Macroeconomics; Computer science","score_opus":0.06130690922902044,"score_gpt":0.24980128489860104,"score_spread":0.1884943756695806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903508119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75532705,0.009175207,0.00012520803,0.0026692604,0.00028849384,0.00027673025,0.000045719953,0.000017688824,0.23207463],"genre_scores_gemma":[0.7455687,0.24963437,0.0010172179,0.0033565196,0.00029830344,0.000008075353,0.0000072781218,0.000033377666,0.00007616561],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985967,0.00006170405,0.0007274759,0.00040007458,0.000011771692,0.00020227321],"domain_scores_gemma":[0.99868023,0.000090723945,0.00064461987,0.00050427445,0.000030340356,0.000049791346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024096954,0.0001642434,0.0004411812,0.00007210619,0.00016670173,0.00007146853,0.00028729896,0.000048796588,0.00011499003],"category_scores_gemma":[0.00010992736,0.00014920766,0.00008507497,0.00011249536,0.00025219732,0.00023772911,0.000058125977,0.00010454307,0.00014053345],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064182495,0.00020124126,0.049193338,0.0016616997,0.0000977545,0.0000025907066,0.00092941674,0.00007398068,0.000011115526,0.74099475,0.02061739,0.18615255],"study_design_scores_gemma":[0.00040979116,0.0004205095,0.058162864,0.0018195509,0.000021841162,0.000008139702,0.00003740292,0.020201806,0.000115987976,0.057182252,0.8609291,0.00069075386],"about_ca_topic_score_codex":0.000019677811,"about_ca_topic_score_gemma":0.000016773334,"teacher_disagreement_score":0.8403117,"about_ca_system_score_codex":0.000041142495,"about_ca_system_score_gemma":0.0000232855,"threshold_uncertainty_score":0.6084511},"labels":[],"label_agreement":null},{"id":"W2903601519","doi":"10.3386/w18110","title":"Housing Productivity and the Social Cost of Land-Use Restrictions","year":2012,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of British Columbia; Ben-Gurion University of the Negev; York University; Brown University; National Science Foundation","keywords":"Productivity; Natural resource economics; Agricultural economics; Geography; Economics; Economic growth","score_opus":0.3583900842921457,"score_gpt":0.4332256328871942,"score_spread":0.07483554859504848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903601519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7252785,0.0012045826,0.00013578829,0.00413215,0.0012150268,0.0015218004,0.00067456014,0.0000254414,0.26581216],"genre_scores_gemma":[0.997606,0.0008694027,0.00022101292,0.000011858169,0.00080138276,0.000085652966,0.000077855664,0.00003302107,0.00029385972],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979134,0.0001596148,0.0009513132,0.00049728755,0.00011385775,0.0003644909],"domain_scores_gemma":[0.9974343,0.0010698063,0.0007990047,0.00036698944,0.00026224068,0.00006762274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070779454,0.00018024001,0.0007189602,0.00063272,0.00030821175,0.00014796834,0.0004030943,0.00031376514,0.00008875488],"category_scores_gemma":[0.0009580433,0.00018411425,0.00019550585,0.00015002648,0.0009024918,0.00030920998,0.00064393104,0.0007902364,0.000046919817],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020384516,0.00010502704,0.05612946,0.00012875981,0.00017868739,1.4969886e-7,0.00058720703,0.0012908773,0.0000046819328,0.9384381,0.0017847706,0.0011484361],"study_design_scores_gemma":[0.0013560674,0.000019533643,0.03325764,0.0000403979,0.000019664605,0.000003088508,0.00007068825,0.0051133116,0.0000466997,0.95535237,0.00442783,0.00029270642],"about_ca_topic_score_codex":0.004302318,"about_ca_topic_score_gemma":0.00036014226,"teacher_disagreement_score":0.27232745,"about_ca_system_score_codex":0.00053056167,"about_ca_system_score_gemma":0.00031327712,"threshold_uncertainty_score":0.7507961},"labels":[],"label_agreement":null},{"id":"W2903751886","doi":"10.1093/rfs/hhz073","title":"Does Climate Change Affect Real Estate Prices? Only If You Believe In It","year":2019,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":700,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; National Science Foundation","keywords":"Real estate; Climate change; Economics; Affect (linguistics); Database transaction; Transaction cost; House price; Econometrics; Natural resource economics; Microeconomics; Finance; Computer science","score_opus":0.04473874092196144,"score_gpt":0.2828267266276147,"score_spread":0.23808798570565326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903751886","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7618032,0.09429131,0.0000034052246,0.0024079615,0.0019627733,0.0015339456,0.00020919826,0.00004036406,0.13774782],"genre_scores_gemma":[0.10119902,0.8976948,0.0001653266,0.00056879956,0.00015830617,0.000061212566,0.000008071539,0.00002209241,0.00012234837],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99810773,0.000024201332,0.0009948257,0.00041834178,0.00003771899,0.00041716013],"domain_scores_gemma":[0.99878657,0.00009951587,0.0007112992,0.000319856,0.000044035318,0.000038714017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014798922,0.00022546979,0.0013375062,0.00014633365,0.00006255286,0.000015524958,0.0002131388,0.00007738999,0.00008719943],"category_scores_gemma":[0.0003228932,0.00018406974,0.0002017082,0.0002939471,0.000063872,0.0002462028,0.00017144716,0.00013087096,0.00047528246],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000648101,0.00017574486,0.6687453,0.02527829,0.00008855683,0.00001193418,0.0032715588,0.0000036479837,0.0000021228402,0.025811471,0.0018099044,0.27473667],"study_design_scores_gemma":[0.0010599619,0.0003135355,0.49701896,0.012115682,0.00004592478,0.0000027989647,0.00022885604,0.000068268906,0.000011876123,0.003457235,0.48478422,0.00089268084],"about_ca_topic_score_codex":0.00033354686,"about_ca_topic_score_gemma":0.0007195435,"teacher_disagreement_score":0.8034035,"about_ca_system_score_codex":0.0001501114,"about_ca_system_score_gemma":0.00003103919,"threshold_uncertainty_score":0.7506146},"labels":[],"label_agreement":null},{"id":"W2903911922","doi":"10.1007/s11146-018-9690-z","title":"Only the Best? Exploring Cross-Border Investor Preferences in US Gateway Cities","year":2018,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"University of Reading","keywords":"Real estate; Investment (military); Business; Real estate investment trust; Taxis; Finance; Financial economics; Economics","score_opus":0.059877152818060504,"score_gpt":0.27786294440353,"score_spread":0.2179857915854695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903911922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9561962,0.00041033316,0.000018128478,0.0004248359,0.00081881264,0.00009675997,0.000023835242,0.0000059103545,0.04200518],"genre_scores_gemma":[0.84613323,0.15278713,0.00016806844,0.00014330105,0.00034777742,0.000004772932,0.0000011072681,0.000022874508,0.0003917403],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983979,0.000032613323,0.0009852991,0.0001970213,0.000022592996,0.00036458386],"domain_scores_gemma":[0.9985608,0.00017425595,0.0008657216,0.00028610177,0.00005316555,0.000059960348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014638682,0.00019124683,0.00046757236,0.00016449588,0.00027013608,0.00020244755,0.00040626715,0.000077501914,0.00006191842],"category_scores_gemma":[0.000058765538,0.00014337647,0.00008249079,0.00011970329,0.0005284498,0.0008997559,0.000100490215,0.00030119024,0.00006964171],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008897506,0.00014410252,0.71038157,0.00007457703,0.00016904312,0.000012389269,0.0248711,0.0073185763,0.000009623231,0.03166795,0.00048199706,0.22397935],"study_design_scores_gemma":[0.0027908336,0.0014500055,0.5064535,0.00023219695,0.000052311185,0.0003532126,0.0061354935,0.007974686,0.00024621654,0.069616966,0.4035527,0.0011418343],"about_ca_topic_score_codex":0.0013212147,"about_ca_topic_score_gemma":0.0023165827,"teacher_disagreement_score":0.40307072,"about_ca_system_score_codex":0.00011750409,"about_ca_system_score_gemma":0.00010774761,"threshold_uncertainty_score":0.58467233},"labels":[],"label_agreement":null},{"id":"W2904041857","doi":"10.2139/ssrn.3037449","title":"Responses to Saving Commitments: Evidence from Mortgage Run-Offs","year":2017,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Debt; Constraint (computer-aided design); Short run; Population; Shared appreciation mortgage; Earnings; Mortgage insurance; Economics; Mortgage underwriting; Monetary economics; Budget constraint; Balance sheet; Business; Finance; Microeconomics","score_opus":0.06016739987802239,"score_gpt":0.28144593501173826,"score_spread":0.22127853513371587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904041857","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94408005,0.017105978,0.014928712,0.0035538017,0.0036480268,0.00048155937,0.0001842758,0.0000741376,0.015943432],"genre_scores_gemma":[0.9507467,0.04148816,0.00075349107,0.0002616697,0.0013227605,0.000031737243,0.000021136808,0.000101995305,0.0052723535],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99499017,0.00010363389,0.0012472072,0.000938468,0.000087485525,0.0026330429],"domain_scores_gemma":[0.99627936,0.00025901664,0.0016772457,0.0014422503,0.00006924473,0.00027288368],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004879449,0.00050363643,0.0010607169,0.0005040417,0.0007292146,0.0010945073,0.0020212466,0.00042552798,0.00023017608],"category_scores_gemma":[0.0013146013,0.00062019285,0.00044899827,0.00007420773,0.000075405915,0.0005273737,0.001006695,0.0044660955,0.0010811533],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017045815,0.00042823926,0.790987,0.00015080153,0.0033636338,0.00019529896,0.0038963694,0.0021326952,0.000073263865,0.08825159,0.0064072018,0.10240933],"study_design_scores_gemma":[0.00069640245,0.00024097975,0.036901448,0.0007247895,0.00007896662,0.000098104916,0.00033133794,0.00074320054,0.00001869962,0.9360778,0.022826144,0.0012621514],"about_ca_topic_score_codex":0.0031251363,"about_ca_topic_score_gemma":0.003084632,"teacher_disagreement_score":0.8478262,"about_ca_system_score_codex":0.0038719985,"about_ca_system_score_gemma":0.0017630568,"threshold_uncertainty_score":0.99995196},"labels":[],"label_agreement":null},{"id":"W2904965114","doi":"10.3390/jrfm11040090","title":"Bank Credit and Housing Prices in China: Evidence from a TVP-VAR Model with Stochastic Volatility","year":2018,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Real estate; Vector autoregression; Economics; Volatility (finance); Quarter (Canadian coin); China; Monetary economics; Bank credit; Financial economics; Finance","score_opus":0.017000016765200486,"score_gpt":0.20517305272346195,"score_spread":0.18817303595826146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904965114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7959871,0.0010222349,0.20188777,0.000063693114,0.00016136443,0.00009631786,0.000015773772,0.0000046919713,0.0007610108],"genre_scores_gemma":[0.98546827,0.0029427363,0.01126771,0.00003789078,0.0002550895,0.0000020930988,4.5072562e-7,0.000012184411,0.000013581787],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989299,0.000010635212,0.00055774214,0.00025912968,0.00004424829,0.00019834835],"domain_scores_gemma":[0.99914825,0.000058976246,0.000547772,0.00014243461,0.000029770714,0.00007278795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086250366,0.00013780799,0.00039558273,0.0002550804,0.0001238786,0.00010521957,0.00012775457,0.00005973557,0.000016888092],"category_scores_gemma":[0.00012299688,0.00013183363,0.00004016137,0.00014222886,0.00010418093,0.00047152862,0.00009179331,0.00018382052,0.0000039682454],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019006385,0.00027827773,0.78416014,0.00016802702,0.00011243302,0.00007404667,0.007843524,0.009289235,0.0000050618482,0.009381644,0.0003958,0.18639116],"study_design_scores_gemma":[0.0012680562,0.00031431348,0.7920643,0.0003215673,0.000053892574,0.0000055665582,0.00012651658,0.15179187,0.0000025965908,0.052638326,0.0011328894,0.000280066],"about_ca_topic_score_codex":0.00037592225,"about_ca_topic_score_gemma":0.00038514734,"teacher_disagreement_score":0.19062006,"about_ca_system_score_codex":0.000074654425,"about_ca_system_score_gemma":0.000021962542,"threshold_uncertainty_score":0.5376019},"labels":[],"label_agreement":null},{"id":"W2905133319","doi":"10.4324/9781315295657-14","title":"Will Millennials remain in the city?","year":2017,"lang":"en","type":"book-chapter","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Advertising; History; Business","score_opus":0.0589567018020966,"score_gpt":0.22433499844921778,"score_spread":0.16537829664712117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905133319","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00028361758,0.00089819235,0.00007880604,0.0014623178,0.0006636524,0.0002829776,0.00009327763,0.000025495294,0.99621165],"genre_scores_gemma":[0.033045005,0.0072088703,0.00022423777,0.0010042745,0.0006521527,0.000014916558,0.00003942064,0.00008784252,0.95772326],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99830675,0.000007856311,0.000807162,0.0005308665,0.00003050682,0.00031688454],"domain_scores_gemma":[0.99796975,0.00011384104,0.0006760897,0.001176497,0.000013173755,0.000050661885],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0016407245,0.0003089624,0.00076212734,0.0002804281,0.00016730608,0.0002458067,0.0008683637,0.00044050624,0.0039954386],"category_scores_gemma":[0.000102986014,0.00028588471,0.0002542957,0.000010709461,0.00011921786,0.00028260544,0.000115016745,0.00040161796,0.0022229743],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000856046,0.000012404892,0.00079357147,0.000017706881,0.00003102852,0.000016719805,0.00020315514,0.0000018048898,6.235252e-8,0.9820723,0.013857909,0.0029847547],"study_design_scores_gemma":[0.00015392975,0.000013229317,0.00020464999,0.00002699218,0.000003826155,0.0000039095844,0.000008070278,0.00003587662,1.7330468e-7,0.3588085,0.6404757,0.00026515554],"about_ca_topic_score_codex":0.0002558894,"about_ca_topic_score_gemma":0.0010311024,"teacher_disagreement_score":0.6266178,"about_ca_system_score_codex":0.00013326564,"about_ca_system_score_gemma":0.000030142171,"threshold_uncertainty_score":0.99995935},"labels":[],"label_agreement":null},{"id":"W2905730528","doi":"","title":"The Effects of Urban Rail Rapid Transit Station Types on Housing Prices in Toronto and Vancouver, Canada","year":2018,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Emory University","keywords":"Metropolitan area; Capitalization; Externality; Residential property; Urban rail transit; Neighbourhood (mathematics); Transport engineering; Geography; Rail transit; Transit (satellite); Property value; Rapid transit; Economic geography; Urban rail; Urban transit; Business; Public transport; Engineering; Economics; Real estate; Finance; Mathematics","score_opus":0.011746285847734276,"score_gpt":0.2174603027744382,"score_spread":0.20571401692670394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905730528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76334935,0.0012921427,0.0000056002564,0.000029739422,0.0021512872,0.00032565452,0.000016077398,0.000011030103,0.2328191],"genre_scores_gemma":[0.9868813,0.0036878411,0.000011310071,0.0000054161173,0.00016540338,0.0000027905587,0.0000234706,0.000034531466,0.009187931],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99846816,0.000110415924,0.00038390973,0.00048328328,0.00011657839,0.00043767237],"domain_scores_gemma":[0.99842054,0.0007101568,0.0003532804,0.00033494018,0.00007371318,0.00010738074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000700093,0.00019683305,0.00041807315,0.00038242937,0.00045296017,0.000096105054,0.00034922175,0.00018681858,0.000028494642],"category_scores_gemma":[0.00017222491,0.00022004996,0.00007285886,0.00029532018,0.00014202848,0.0002473839,0.000037401922,0.00035515116,0.000003226745],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.018817922,0.001306488,0.5341539,0.012027839,0.0033147505,0.00190618,0.028028639,0.00018138866,0.0033385318,0.20317388,0.1161032,0.07764731],"study_design_scores_gemma":[0.0051617497,0.0030019807,0.42636207,0.0014797372,0.0001274009,0.00000399532,0.020367248,0.0013121814,0.02348845,0.005818038,0.5105557,0.0023214996],"about_ca_topic_score_codex":0.7998474,"about_ca_topic_score_gemma":0.9957758,"teacher_disagreement_score":0.39445245,"about_ca_system_score_codex":0.0020426952,"about_ca_system_score_gemma":0.0007621352,"threshold_uncertainty_score":0.8973377},"labels":[],"label_agreement":null},{"id":"W2906566607","doi":"","title":"How the design of housing vouchers can help those on low incomes to live in neighborhoods they prefer","year":2018,"lang":"en","type":"article","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Voucher; Quarter (Canadian coin); Subsidy; Government (linguistics); Subsidized housing; Public housing; Demographic economics; Economics; Low income; Labour economics; Business; Public economics; Economic growth; Geography","score_opus":0.09259580739694884,"score_gpt":0.3373815949772085,"score_spread":0.24478578758025965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906566607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9798665,0.00012344366,0.00008344729,0.01053852,0.0003009918,0.00075712684,0.0003426461,0.000009594866,0.007977739],"genre_scores_gemma":[0.99557555,0.0014886135,0.0016712708,0.0007649394,0.00035215524,0.000020101337,0.0000036861784,0.000038764865,0.00008491666],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9936844,0.00016158319,0.0016593807,0.0013789821,0.0001930714,0.0029225515],"domain_scores_gemma":[0.99397564,0.0013842656,0.0005023391,0.001004566,0.00045753518,0.0026756485],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0114895,0.00042243555,0.0011957319,0.0017233698,0.00052624766,0.0007042765,0.0017356018,0.00024349957,0.00008946342],"category_scores_gemma":[0.005192788,0.00037256203,0.00016385464,0.0009990766,0.007177485,0.0010668816,0.0009724586,0.00071483076,0.000048622376],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002284335,0.00025097938,0.05311155,0.00004965517,0.000025833067,0.0000012017385,0.00033014372,0.00075288495,0.0002793095,0.9432587,0.000028608267,0.0016827182],"study_design_scores_gemma":[0.003126288,0.003828438,0.22212431,0.00037784383,0.000031435724,0.000021055657,0.005075206,0.1316577,0.008362034,0.6214054,0.002430442,0.0015598129],"about_ca_topic_score_codex":0.007245563,"about_ca_topic_score_gemma":0.0018304321,"teacher_disagreement_score":0.32185325,"about_ca_system_score_codex":0.0011780041,"about_ca_system_score_gemma":0.002040103,"threshold_uncertainty_score":0.9998726},"labels":[],"label_agreement":null},{"id":"W2906838005","doi":"10.6000/1929-7092.2020.09.05","title":"Predicting Aggregate and State-Level US House Price Volatility: The Role of Sentiment","year":2020,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Predictability; Volatility (finance); Econometrics; Economics; Quantile; Financial economics; Aggregate (composite); Conditional probability distribution; House price; Volatility risk premium; Volatility smile; Statistics; Mathematics","score_opus":0.040028562900834876,"score_gpt":0.2267222915014806,"score_spread":0.18669372860064573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906838005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9728145,0.016496476,0.0002635882,0.0011661409,0.00033327827,0.00029116852,0.00016541268,0.000010594721,0.00845884],"genre_scores_gemma":[0.94208395,0.055318378,0.0012166691,0.0011093298,0.00021960048,0.0000027940926,0.0000013201444,0.000028870989,0.000019054633],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99760294,0.00004764499,0.0018258654,0.00025692437,0.000029379888,0.00023721895],"domain_scores_gemma":[0.99667174,0.00007995005,0.0027538054,0.00025662288,0.000043260192,0.0001945998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015416472,0.00020341175,0.00093313295,0.0000561234,0.000075620665,0.00009864536,0.00035147677,0.000068766654,0.00004548351],"category_scores_gemma":[0.00028514556,0.000175591,0.00027989264,0.00012015396,0.00007394993,0.00029725127,0.00010584821,0.00022542867,0.00006286542],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046578498,0.00020112246,0.8250907,0.00030337408,0.00046854213,0.0000062923214,0.0015885253,0.0024422924,0.000015428748,0.015374331,0.0014211206,0.15262248],"study_design_scores_gemma":[0.001610842,0.0006492035,0.034960974,0.00023219516,0.00008485113,0.000061799685,0.00021454741,0.052887686,0.0001438536,0.022789976,0.88585114,0.0005129204],"about_ca_topic_score_codex":0.00004563764,"about_ca_topic_score_gemma":0.000021570417,"teacher_disagreement_score":0.88443005,"about_ca_system_score_codex":0.00020248596,"about_ca_system_score_gemma":0.000054832544,"threshold_uncertainty_score":0.71603936},"labels":[],"label_agreement":null},{"id":"W2907709323","doi":"10.3386/w25906","title":"Affordable Housing and City Welfare","year":2019,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Affordable housing; Welfare; Business; Economics; Economic growth; Market economy","score_opus":0.3857922597732565,"score_gpt":0.4471336825934373,"score_spread":0.06134142282018079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907709323","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018587055,0.0017694131,0.00001267386,0.0008608115,0.0012796646,0.00048770322,0.00040429286,0.000023693015,0.9765747],"genre_scores_gemma":[0.97720474,0.0069716964,0.00037076764,0.000025782314,0.0008497002,0.0000381854,0.00034375375,0.000106091975,0.014089273],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99676865,0.0000478286,0.0013471826,0.0009395274,0.00027303293,0.0006237584],"domain_scores_gemma":[0.9974957,0.00043454167,0.0008485218,0.00051647786,0.0005572546,0.0001474943],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0084155165,0.00030794134,0.001121686,0.0014222623,0.00021529784,0.00021322726,0.00051947625,0.00063277286,0.0020116828],"category_scores_gemma":[0.0009059094,0.00039655654,0.00023368846,0.00018089128,0.00029064048,0.0003552749,0.00038244098,0.0008239877,0.0007178159],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007327553,0.00010340346,0.041558404,0.0006986314,0.00032840992,0.0000032967644,0.00012481342,0.0004270032,0.0000040893638,0.90750176,0.044948887,0.0042280387],"study_design_scores_gemma":[0.00063628,0.000096349075,0.002510996,0.00010631808,0.000009322444,0.000017500519,0.00006185123,0.0022004365,0.000020690362,0.52246976,0.4713077,0.00056280947],"about_ca_topic_score_codex":0.003943468,"about_ca_topic_score_gemma":0.000332908,"teacher_disagreement_score":0.96248543,"about_ca_system_score_codex":0.002370502,"about_ca_system_score_gemma":0.0012296161,"threshold_uncertainty_score":0.9998486},"labels":[],"label_agreement":null},{"id":"W2908037551","doi":"10.2139/ssrn.3280388","title":"Homeownership, Labour Market Transitions and Earnings","year":2018,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; HEC Montréal","funders":"Labex Ecodec; Agence Nationale de la Recherche","keywords":"Earnings; Labour economics; Economics; Business; Accounting","score_opus":0.014703192005386214,"score_gpt":0.20524994040846437,"score_spread":0.19054674840307814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908037551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8905925,0.0049782908,0.010443379,0.0043781637,0.001619537,0.0002553294,0.00015774241,0.00009075878,0.08748431],"genre_scores_gemma":[0.95542157,0.035316326,0.00036668254,0.00019769977,0.0011087676,0.000011892627,0.000021499949,0.000087017135,0.007468567],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9964319,0.00005399193,0.0007718995,0.0005993661,0.00004416096,0.0020986663],"domain_scores_gemma":[0.99866545,0.000038246377,0.00071788917,0.00034925604,0.00005640951,0.00017276456],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0038222976,0.0003492743,0.00066677557,0.00043497936,0.0003463902,0.00035719748,0.0004289313,0.0004250557,0.00090663007],"category_scores_gemma":[0.00009791081,0.0004175867,0.00026424445,0.00011523297,0.00014193864,0.00021696447,0.0001844844,0.003747231,0.00023174922],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004576216,0.00035870032,0.09157085,0.00044124856,0.0025797272,0.000034733424,0.0040182713,0.00027496475,0.000009054497,0.8700897,0.008160966,0.022004146],"study_design_scores_gemma":[0.0006843935,0.00017406473,0.009749294,0.000068319336,0.000040810126,0.00031921983,0.0005049487,0.0010214873,0.0000016616165,0.93278044,0.053972144,0.0006832283],"about_ca_topic_score_codex":0.00013003533,"about_ca_topic_score_gemma":0.00044900458,"teacher_disagreement_score":0.08182155,"about_ca_system_score_codex":0.0009963524,"about_ca_system_score_gemma":0.00077205565,"threshold_uncertainty_score":0.9998276},"labels":[],"label_agreement":null},{"id":"W2908160000","doi":"","title":"Household wealth in Italy and in advanced countries","year":2018,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"National wealth; Portfolio; Economics; Household debt; Debt; Order (exchange); Net income; Household income; Net worth; Financial instrument; Business; Finance; Geography","score_opus":0.042304509805227326,"score_gpt":0.2849755007221822,"score_spread":0.24267099091695488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908160000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84069467,0.0005951659,0.0000020556624,0.00035543815,0.000639796,0.00073315005,0.00021053478,0.000032991233,0.15673621],"genre_scores_gemma":[0.9338576,0.06429502,0.00053753675,0.00015018882,0.0002019074,0.00020360407,0.000047122416,0.00012237791,0.0005846047],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99500835,0.00011444647,0.0018347984,0.0016641216,0.00006361593,0.0013146597],"domain_scores_gemma":[0.997711,0.00043391678,0.00051149697,0.0010873756,0.00003699868,0.00021920455],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0048653376,0.00046620684,0.0013825297,0.002092017,0.00011727463,0.00031592665,0.00074093236,0.00075145374,0.00014800986],"category_scores_gemma":[0.00050358806,0.0006535104,0.00012905819,0.00026200523,0.0005211268,0.00034803594,0.0011581886,0.001836702,0.00008685794],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047025995,0.00027452924,0.943653,0.00056329573,0.00005454122,0.00006532272,0.0013786813,0.0100114895,0.0000032391617,0.0052885665,0.000115383606,0.03812168],"study_design_scores_gemma":[0.0066990405,0.00039398536,0.6428872,0.0014067929,0.0000074270315,0.000024424187,0.0014984717,0.05102339,0.000045169236,0.121209234,0.17150033,0.0033045616],"about_ca_topic_score_codex":0.00081259693,"about_ca_topic_score_gemma":0.007965419,"teacher_disagreement_score":0.30076584,"about_ca_system_score_codex":0.0022353104,"about_ca_system_score_gemma":0.00038702317,"threshold_uncertainty_score":0.9995916},"labels":[],"label_agreement":null},{"id":"W2908849249","doi":"10.3390/jrfm12010016","title":"Time–Scale Relationship between Securitized Real Estate and Local Stock Markets: Some Wavelet Evidence","year":2019,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; Stock (firearms); Stock market; Financial economics; Capital market; Stock market bubble; Economics; Monetary economics; Business; Finance; Geography","score_opus":0.017962065848013728,"score_gpt":0.21306666427017662,"score_spread":0.19510459842216288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908849249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9866512,0.0005968622,0.0031637843,0.00017018305,0.00029653913,0.00019258326,0.00003809163,0.000010025111,0.00888075],"genre_scores_gemma":[0.97339725,0.024532443,0.001358065,0.000046660774,0.00021192367,0.0000024263281,0.0000027388,0.00001803164,0.00043042688],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99865526,0.000039538576,0.0007614531,0.00025184054,0.000053294447,0.00023864191],"domain_scores_gemma":[0.9987888,0.00028143948,0.00061954954,0.0001673714,0.00002600614,0.00011683929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015961888,0.0001507981,0.0004994835,0.00028535278,0.0001254547,0.00009179755,0.00014299687,0.000097355114,0.000053888063],"category_scores_gemma":[0.00011581142,0.00016407117,0.00009655782,0.000116711926,0.00008377975,0.00055119494,0.000112806854,0.00026164466,0.00009946919],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027624235,0.00003748204,0.78513545,0.00013528441,0.000036160764,0.000018016659,0.0007630245,0.00004043254,5.531006e-7,0.0072472207,0.00081467396,0.20549546],"study_design_scores_gemma":[0.0013198326,0.00017464775,0.9358152,0.00012892159,0.000052660154,0.000009734449,0.00013088287,0.0010451035,0.0000014553328,0.030491304,0.030577563,0.000252695],"about_ca_topic_score_codex":0.00005875532,"about_ca_topic_score_gemma":0.000010614657,"teacher_disagreement_score":0.20524277,"about_ca_system_score_codex":0.00009030322,"about_ca_system_score_gemma":0.000017630797,"threshold_uncertainty_score":0.6690628},"labels":[],"label_agreement":null},{"id":"W2908935839","doi":"10.1093/acrefore/9780190625979.013.384","title":"Human Capital Inequality: Empirical Evidence","year":2020,"lang":"en","type":"preprint","venue":"Oxford Research Encyclopedia of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Queen's University","funders":"","keywords":"Economics; Human capital; Earnings; Labour economics; Inequality; Physical capital; Distribution (mathematics); Empirical evidence; Finance","score_opus":0.22904834826496176,"score_gpt":0.3549773477492092,"score_spread":0.12592899948424743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908935839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84000105,0.003997099,0.000099834586,0.0031310811,0.0006862114,0.0006137092,0.00046468707,0.00003179892,0.15097454],"genre_scores_gemma":[0.6954291,0.30176142,0.0012267649,0.00011780614,0.0005251096,0.00010040012,0.000049582475,0.00008292077,0.00070690777],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99524075,0.00010626791,0.0019920575,0.0016880892,0.000074041476,0.00089878216],"domain_scores_gemma":[0.99702036,0.00037760797,0.0010657766,0.0011401712,0.0001365592,0.00025950567],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0031500657,0.0005099301,0.0016362913,0.00053804385,0.00030695388,0.00027971735,0.0011319076,0.00067793287,0.00011404016],"category_scores_gemma":[0.0007676263,0.00065415434,0.00033336921,0.00024695724,0.0006472748,0.00042107207,0.0024247854,0.0017185219,0.00010630643],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002142414,0.00039170717,0.12577465,0.0017151437,0.00029120574,0.000038628517,0.0043161064,0.0015954293,0.000006846023,0.8266919,0.0052774544,0.033686657],"study_design_scores_gemma":[0.0005442984,0.00034365949,0.018880751,0.00027307717,0.000014880934,0.000004305549,0.0001468108,0.007192943,0.000013460506,0.6532582,0.31836596,0.00096163456],"about_ca_topic_score_codex":0.00077150203,"about_ca_topic_score_gemma":0.00023220111,"teacher_disagreement_score":0.3130885,"about_ca_system_score_codex":0.00030433259,"about_ca_system_score_gemma":0.00035176147,"threshold_uncertainty_score":0.999591},"labels":[],"label_agreement":null},{"id":"W2909382053","doi":"10.2139/ssrn.3212867","title":"CEO Compensation and Real Estate Prices: Pay for Luck or Pay for Action?","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Luck; Executive compensation; Compensation (psychology); Real estate; Action (physics); Business; Economics; Monetary economics; Financial economics; Microeconomics; Finance; Incentive; Psychology; Social psychology","score_opus":0.035628912488922714,"score_gpt":0.2658710644280686,"score_spread":0.2302421519391459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909382053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7877825,0.00020830521,0.1912081,0.0026518027,0.0019751494,0.00093289424,0.0000950618,0.00007067743,0.015075534],"genre_scores_gemma":[0.96312785,0.028100947,0.0029691649,0.00012856956,0.0016207006,0.000042957836,0.000025582578,0.000063323896,0.003920897],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99809474,0.000010082019,0.00047973395,0.0002723004,0.000020038216,0.0011231331],"domain_scores_gemma":[0.9991691,0.00011776596,0.00044155965,0.00012788578,0.00006832836,0.00007537522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018587199,0.00013899886,0.00028089262,0.00014658915,0.00040401658,0.00015533395,0.00013449336,0.00009073909,0.000049546186],"category_scores_gemma":[0.000091319635,0.00010887541,0.000095954056,0.00007941756,0.00004114446,0.00034667706,0.000017970971,0.0003298793,0.000034246197],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020867253,0.00017613488,0.034117263,0.0001231608,0.00053437235,8.4541114e-7,0.0015778625,0.000047421156,0.00009573621,0.5044685,0.0019026136,0.4548694],"study_design_scores_gemma":[0.003399837,0.0017476983,0.0058340253,0.000016897742,0.00004325273,0.00012580326,0.00091982656,0.012384411,0.00008000575,0.6246635,0.35026765,0.0005171408],"about_ca_topic_score_codex":0.00017066587,"about_ca_topic_score_gemma":0.0034653242,"teacher_disagreement_score":0.45435226,"about_ca_system_score_codex":0.00057828863,"about_ca_system_score_gemma":0.00038468154,"threshold_uncertainty_score":0.44398102},"labels":[],"label_agreement":null},{"id":"W2909775384","doi":"10.1111/jacf.12309","title":"Financing Urban Revitalization: A Pro‐Growth Template","year":2018,"lang":"en","type":"article","venue":"Journal of applied corporate finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"Property tax; Prosperity; Revenue; Population; Redevelopment; Economics; Finance; Business; Economic growth; Political science; Law","score_opus":0.04086941667178439,"score_gpt":0.20258413927793287,"score_spread":0.16171472260614847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909775384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72854996,0.0006919435,0.018748498,0.00048177328,0.0017704695,0.0003149143,0.0000287932,0.00004405798,0.2493696],"genre_scores_gemma":[0.9910129,0.0007067002,0.00644623,0.0002974583,0.0009569035,0.000007151368,0.0000036465015,0.00004292673,0.00052610465],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980355,0.000008187057,0.0012703643,0.0003045095,0.00005306861,0.00032840527],"domain_scores_gemma":[0.99625534,0.000028084996,0.0031437445,0.000287031,0.00020652851,0.000079260986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010023027,0.00020565656,0.0006196381,0.0002581261,0.00017302371,0.00011335253,0.00036808,0.00012415665,0.00011978245],"category_scores_gemma":[0.000077575554,0.00022820976,0.00013061218,0.00047736717,0.00013296327,0.00038374856,0.000055719145,0.0002199721,0.00046917007],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068504753,0.00022313728,0.046941474,0.00016293697,0.00012372244,0.00006934672,0.0016222611,0.00042183735,0.00037324525,0.88523024,0.055938486,0.008208285],"study_design_scores_gemma":[0.0030512281,0.0008797484,0.019289685,0.0003115898,0.000040519968,0.00016788972,0.00009178263,0.0036175062,0.0041984343,0.52830577,0.4387483,0.0012975285],"about_ca_topic_score_codex":0.0000069180596,"about_ca_topic_score_gemma":0.0000046920577,"teacher_disagreement_score":0.38280982,"about_ca_system_score_codex":0.00013803819,"about_ca_system_score_gemma":0.0000988684,"threshold_uncertainty_score":0.9306123},"labels":[],"label_agreement":null},{"id":"W2910542202","doi":"10.1108/jfep-07-2019-0149","title":"Alternative futures for Government of Canada debt management","year":2020,"lang":"en","type":"article","venue":"Journal of Financial Economic Policy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Market liquidity; Futures contract; Bond; Debt; Economics; Government (linguistics); Government debt; Internal debt; Value (mathematics); Originality; Monetary economics; Financial economics; Finance; Law; Political science","score_opus":0.015652904557758935,"score_gpt":0.20853739772316832,"score_spread":0.19288449316540937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910542202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79332954,0.0005196293,0.007797009,0.011771678,0.0030534957,0.00051460025,0.0011931831,0.00001015706,0.18181074],"genre_scores_gemma":[0.99446565,0.00050206797,0.0014558875,0.0015775806,0.0018119289,0.0000051018214,0.0000012877164,0.00002336922,0.00015715667],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99836755,0.0000071457894,0.0011234531,0.0001825079,0.000045317684,0.00027400296],"domain_scores_gemma":[0.9982193,0.00005166477,0.0014117914,0.00012494544,0.000024916299,0.00016737105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038231869,0.00014526003,0.0005952491,0.00009870207,0.00006410438,0.000025252039,0.00035991793,0.00005525245,0.000080935824],"category_scores_gemma":[0.00018391895,0.00017109729,0.00021989032,0.00006035233,0.000030345687,0.00016700456,0.000059471095,0.000102956285,0.000007261705],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006899182,0.00007930865,0.005562965,0.0001978221,0.0002907072,0.000017674187,0.0009660626,0.008839444,0.000018502215,0.89855504,0.0453448,0.039437752],"study_design_scores_gemma":[0.0058364547,0.00078979024,0.032734215,0.00008406007,0.000060856462,0.000023334758,0.00037910993,0.011387552,0.0015093938,0.17296878,0.7733259,0.0009005455],"about_ca_topic_score_codex":0.013933475,"about_ca_topic_score_gemma":0.007830621,"teacher_disagreement_score":0.7279811,"about_ca_system_score_codex":0.0009839025,"about_ca_system_score_gemma":0.00054164,"threshold_uncertainty_score":0.9926328},"labels":[],"label_agreement":null},{"id":"W2910641540","doi":"10.26485/ps/2018/67.1/1","title":"Capitalism and the urban question","year":2018,"lang":"en","type":"article","venue":"Przegląd Socjologiczny","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Capitalism; Urban space; Space (punctuation); Economic geography; Polarization (electrochemistry); Quarter (Canadian coin); Social space; Sociology; Economic system; Political science; Economy; Economics; Political economy; Geography; Politics; Law","score_opus":0.020487155863959192,"score_gpt":0.20558172623100465,"score_spread":0.18509457036704546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910641540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63589936,0.0012699286,0.0012226884,0.0036319129,0.0009003722,0.00023137765,0.00001967109,0.000100651414,0.35672405],"genre_scores_gemma":[0.99643874,0.00056580815,0.00048176522,0.00085964135,0.0004752554,0.000019776879,0.000004166779,0.000014515015,0.0011403452],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990921,0.000038088903,0.00031918264,0.00029283846,0.000014697624,0.00024309217],"domain_scores_gemma":[0.999396,0.00009564278,0.00017802232,0.0002576716,0.00002311292,0.000049498904],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011754156,0.0001175582,0.00026410318,0.00006424907,0.0002630374,0.00010904818,0.00017464538,0.00011024901,0.00028952246],"category_scores_gemma":[0.00022162341,0.00009511591,0.0000631355,0.0000795151,0.00061977,0.00014346461,0.00008673165,0.00011232572,0.0008142144],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048326325,0.000019223653,0.037721872,0.0000058010846,0.000024385667,0.0000010018391,0.0016007529,0.000001216716,0.0000033377848,0.9541552,0.0036894688,0.0027294175],"study_design_scores_gemma":[0.0019887413,0.00015598831,0.041732647,0.000010023254,0.000015040761,0.000019683368,0.00025866565,0.005049176,0.00004112271,0.74176335,0.20852615,0.00043940687],"about_ca_topic_score_codex":0.00018151505,"about_ca_topic_score_gemma":0.000054142005,"teacher_disagreement_score":0.36053938,"about_ca_system_score_codex":0.00004273579,"about_ca_system_score_gemma":0.000007637708,"threshold_uncertainty_score":0.99996376},"labels":[],"label_agreement":null},{"id":"W2910907529","doi":"10.1016/j.jmateco.2019.10.003","title":"The consumption–investment decision of a prospect theory household: A two-period model with an endogenous second period reference level","year":2019,"lang":"en","type":"article","venue":"Journal of Mathematical Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"Austrian Science Fund","keywords":"Period (music); Economics; Consumption (sociology); Investment (military); Econometrics; Microeconomics; Political science","score_opus":0.09615015839859035,"score_gpt":0.24280358487857348,"score_spread":0.14665342647998314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910907529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9589084,0.00023434528,0.00902977,0.00008762313,0.00017623446,0.000338629,0.00011548872,0.000011610948,0.031097949],"genre_scores_gemma":[0.97185856,0.0003489436,0.027088864,0.00013103399,0.00006495801,0.000010149625,0.0000024224075,0.000059274575,0.0004358185],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975069,0.000033363962,0.0017191743,0.0003184794,0.00006308544,0.00035896365],"domain_scores_gemma":[0.99702317,0.00037956377,0.0016476577,0.00067027006,0.00008249514,0.00019684527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002564732,0.0002604238,0.0009302534,0.00018264468,0.00015003783,0.00021692376,0.0006012097,0.00012173185,0.00062622054],"category_scores_gemma":[0.00012759039,0.00019806111,0.00021041058,0.000051861152,0.00022100314,0.00052016316,0.00008615164,0.0003271163,0.00020366826],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094963337,0.0004179749,0.0029254335,0.00014141476,0.00025958734,0.000008067558,0.0017259782,0.012542488,0.0000922085,0.978703,0.00005220869,0.0021820008],"study_design_scores_gemma":[0.0030861765,0.0008768844,0.00081683457,0.00013531688,0.00005307291,0.00067150284,0.0006203302,0.077332824,0.00022668991,0.9141848,0.0014957554,0.0004997901],"about_ca_topic_score_codex":0.0000025875404,"about_ca_topic_score_gemma":0.000035127458,"teacher_disagreement_score":0.06479034,"about_ca_system_score_codex":0.00026458586,"about_ca_system_score_gemma":0.00020134129,"threshold_uncertainty_score":0.80766976},"labels":[],"label_agreement":null},{"id":"W2910945137","doi":"10.1108/jpif-03-2018-0021","title":"International listed real estate returns: evidence from the global financial crisis","year":2019,"lang":"en","type":"article","venue":"Journal of Property Investment and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Real estate; Financial crisis; Diversification (marketing strategy); Capital asset pricing model; Economics; Financial economics; Capitalization rate; Emerging markets; Real estate investment trust; Business; Finance; Financial system; Macroeconomics","score_opus":0.03704703822498457,"score_gpt":0.2281376541679122,"score_spread":0.19109061594292764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910945137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94260955,0.0012551242,0.00007519369,0.008587057,0.001852908,0.00017005134,0.00007289262,0.000008630201,0.04536858],"genre_scores_gemma":[0.93293697,0.061842706,0.002086498,0.001821652,0.00055228564,0.000005069031,0.0000052815626,0.00001563702,0.0007339291],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.998728,0.000025825182,0.00073437317,0.00024862404,0.00006687014,0.00019632801],"domain_scores_gemma":[0.9988059,0.00006826359,0.0007705352,0.00023058306,0.000073443516,0.000051298673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069786666,0.00014987387,0.00036238966,0.00004664752,0.000082392966,0.00016281339,0.0004276638,0.00008534949,0.00011209451],"category_scores_gemma":[0.00019480553,0.00009697955,0.00011996126,0.00011401742,0.000070630995,0.0006507303,0.000102788035,0.00020722148,0.00009219239],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010481963,0.0002445578,0.84400475,0.000047863767,0.00026031607,0.00005815203,0.0046408065,0.00035275685,0.00008270526,0.034713008,0.068982236,0.045564674],"study_design_scores_gemma":[0.0014526561,0.00037780043,0.21308254,0.00026467114,0.000027936196,0.00004483083,0.00020865732,0.004989393,0.000049453683,0.024441171,0.7546561,0.00040484572],"about_ca_topic_score_codex":0.00086287706,"about_ca_topic_score_gemma":0.000086900895,"teacher_disagreement_score":0.68567383,"about_ca_system_score_codex":0.00019913138,"about_ca_system_score_gemma":0.00007747052,"threshold_uncertainty_score":0.39547116},"labels":[],"label_agreement":null},{"id":"W2912368286","doi":"10.3386/w23994","title":"City Equilibrium with Borrowing Constraints: Structural Estimation and General Equilibrium Effects","year":2017,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Estimation; General equilibrium theory; Economics; Structural estimation; Econometrics; Microeconomics","score_opus":0.18367017845517156,"score_gpt":0.4148242758415455,"score_spread":0.23115409738637396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912368286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76473206,0.0005362167,0.00022242259,0.0007918401,0.0008163696,0.0007514729,0.00027485122,0.000035492318,0.2318393],"genre_scores_gemma":[0.9948524,0.00012472694,0.0035266178,0.00002778092,0.00052888755,0.00006879811,0.0003243693,0.000061934086,0.0004844698],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970979,0.00008280828,0.0009870518,0.0010453888,0.00017256789,0.0006143024],"domain_scores_gemma":[0.9973589,0.000555693,0.00094687054,0.00068648375,0.0002564304,0.00019560545],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0032147367,0.00037202518,0.0009685985,0.00078982254,0.00023958943,0.0006080438,0.00076082104,0.00048118446,0.00023983265],"category_scores_gemma":[0.00078532024,0.00043145724,0.0001645834,0.00006447316,0.001058228,0.00065936934,0.0009108473,0.00091710966,0.00007726618],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031531748,0.00006911191,0.044277,0.0011362034,0.00055316597,0.000012589311,0.00039440976,0.030942535,0.00014542612,0.9127489,0.0016516688,0.007753724],"study_design_scores_gemma":[0.0009765413,0.000106532054,0.0060604303,0.00015930792,0.000011777749,0.000016608014,0.00001220245,0.2341857,0.00025999945,0.75760394,0.00014775459,0.00045923],"about_ca_topic_score_codex":0.0008891768,"about_ca_topic_score_gemma":0.000056557652,"teacher_disagreement_score":0.23135483,"about_ca_system_score_codex":0.00085052056,"about_ca_system_score_gemma":0.00061160675,"threshold_uncertainty_score":0.99981374},"labels":[],"label_agreement":null},{"id":"W2912759730","doi":"10.2139/ssrn.3165516","title":"Buildings With Benefits: The Defect of Density Bonusing","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Business","score_opus":0.011844211908477651,"score_gpt":0.18833712526897745,"score_spread":0.1764929133604998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912759730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97367585,0.0014741614,0.009065129,0.00041605724,0.00020420887,0.00006769883,0.0000030692124,0.000013355352,0.015080458],"genre_scores_gemma":[0.9972367,0.0018060643,0.0003218128,0.000106613785,0.00034214774,0.0000010172926,6.053968e-7,0.00002499481,0.00016004036],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99825627,0.000015506233,0.0003926058,0.00019200229,0.000033212746,0.0011104016],"domain_scores_gemma":[0.9991658,0.00004206176,0.0004601822,0.00022446239,0.000063275125,0.00004423704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002335648,0.0001226109,0.00026662482,0.000118455144,0.00031845062,0.000071775554,0.00027846135,0.00005891496,0.000050040668],"category_scores_gemma":[0.000060830895,0.000096748336,0.00012910808,0.00018322303,0.00015173371,0.00018875163,0.000040229923,0.0006196191,0.00006241779],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014537982,0.0000443059,0.10099426,0.0000066016246,0.00027379053,8.5847927e-7,0.00042890274,0.000096088734,0.000032625154,0.8772359,0.00010196516,0.020639302],"study_design_scores_gemma":[0.0019217085,0.0015835689,0.016788943,0.0000817488,0.00009107464,0.0010920459,0.0013284679,0.0013548093,0.0008458693,0.95285213,0.021317502,0.000742123],"about_ca_topic_score_codex":0.0002263775,"about_ca_topic_score_gemma":0.001475328,"teacher_disagreement_score":0.08420532,"about_ca_system_score_codex":0.0004027556,"about_ca_system_score_gemma":0.00028339823,"threshold_uncertainty_score":0.39452827},"labels":[],"label_agreement":null},{"id":"W2913427277","doi":"10.2139/ssrn.1087124","title":"Real Interest Rates, Expected Inflation, and Real Estate Returns: A Comparison of the U.S. and Canada","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real interest rate; Economics; Real estate; Inflation (cosmology); Interest rate; Monetary economics; Financial economics; Econometrics; Finance","score_opus":0.022286001696081765,"score_gpt":0.21882496004181978,"score_spread":0.196538958345738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913427277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99258476,0.000569776,0.000035119203,0.00035050264,0.00016355792,0.00006386787,0.000010136914,0.0000051311667,0.006217161],"genre_scores_gemma":[0.95542485,0.04427291,0.000033345354,0.000015307844,0.00006300777,0.0000011459207,0.0000029344437,0.000013249794,0.00017323016],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99868983,0.000025207988,0.00052192574,0.00015460048,0.000026222715,0.0005822358],"domain_scores_gemma":[0.9992913,0.00004140462,0.0004501759,0.00012924938,0.000030164249,0.000057688747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005057756,0.00010444458,0.00027876213,0.0000696781,0.00022435852,0.000030702282,0.0001314761,0.000051398394,0.000010696036],"category_scores_gemma":[0.000056180994,0.00009583824,0.000034854616,0.00008160551,0.00008982568,0.00013359344,0.000044183493,0.00051927165,0.0000010329858],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044658726,0.00001732356,0.97633773,0.0000062368968,0.000066040055,0.0000012691305,0.001000036,0.000021704618,0.000024291674,0.018731782,0.0002836283,0.0034653174],"study_design_scores_gemma":[0.00215941,0.0003141591,0.90762234,0.000044202716,0.00002823199,0.000621489,0.0050553256,0.0041439026,0.00015656196,0.07169374,0.007578265,0.0005823487],"about_ca_topic_score_codex":0.31120107,"about_ca_topic_score_gemma":0.8486068,"teacher_disagreement_score":0.5374057,"about_ca_system_score_codex":0.0005074695,"about_ca_system_score_gemma":0.0008520905,"threshold_uncertainty_score":0.6933857},"labels":[],"label_agreement":null},{"id":"W2913532086","doi":"10.1111/1540-6229.12275","title":"The Effect of a Subway on House Prices: Evidence from Shanghai","year":2019,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Context (archaeology); China; Central business district; Center (category theory); Demographic economics; Line (geometry); Economics; House price; Labour economics; Business; Geography; Transport engineering; Engineering; Econometrics","score_opus":0.01885788814447917,"score_gpt":0.21274516525446058,"score_spread":0.1938872771099814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913532086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90937346,0.00013454157,0.000033210894,0.00018808192,0.0009564459,0.00038956705,0.0001153677,0.00006241761,0.0887469],"genre_scores_gemma":[0.9696013,0.029576974,0.00013414302,0.000057026664,0.00013228084,0.00002354183,0.000013076858,0.00008466711,0.00037703075],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980788,0.00003823436,0.000867061,0.0005659691,0.000024089471,0.00042584003],"domain_scores_gemma":[0.996585,0.0016754934,0.00075571553,0.00086095504,0.00001493712,0.00010786966],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012685269,0.00026545167,0.00068094075,0.00012514553,0.00011884207,0.00015816817,0.00056316925,0.0001376358,0.00015372937],"category_scores_gemma":[0.00014655375,0.00024009646,0.00022461021,0.0000996609,0.000097716766,0.00036746703,0.00011033675,0.0001963568,0.0027164384],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026339379,0.00014178596,0.7745519,0.0002763548,0.0005837379,0.000008322432,0.0030290065,0.015135517,0.000121457466,0.05949736,0.0014089539,0.14261162],"study_design_scores_gemma":[0.013281503,0.009564818,0.2829126,0.0009184367,0.00020762187,0.000018760129,0.0009327335,0.23711915,0.012216394,0.067212395,0.36986968,0.005745906],"about_ca_topic_score_codex":0.0021429122,"about_ca_topic_score_gemma":0.00043263083,"teacher_disagreement_score":0.49163935,"about_ca_system_score_codex":0.00027228586,"about_ca_system_score_gemma":0.00004043029,"threshold_uncertainty_score":0.99806005},"labels":[],"label_agreement":null},{"id":"W2913638542","doi":"10.1111/1540-6229.12352","title":"Environmental hazards: The microgeography of land‐use negative externalities","year":2021,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Spinal Cord Injury BC","funders":"","keywords":"Easement; Externality; Pipeline (software); Shock (circulatory); Hazard; Natural resource economics; Economics; Land use; Property (philosophy); Work (physics); Hazardous waste; Microeconomics; Econometrics; Business; Environmental economics; Computer science; Civil engineering; Engineering; Law","score_opus":0.017440138340389016,"score_gpt":0.18768845562401842,"score_spread":0.1702483172836294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913638542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94492453,0.00015969026,0.00006107534,0.0002110357,0.000392871,0.00011084533,0.00084865536,0.000019939807,0.053271346],"genre_scores_gemma":[0.95311993,0.045185275,0.0007863989,0.00016424363,0.000103795355,0.000011592504,0.000060728766,0.000043330077,0.00052471715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984841,0.000031064228,0.00075824786,0.00039073604,0.000016722262,0.00031916113],"domain_scores_gemma":[0.99872327,0.00021274574,0.0004846475,0.00048325336,0.000013883285,0.00008219245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036259455,0.00019681091,0.00046582718,0.000104764666,0.00012243423,0.00015375603,0.00024570394,0.000090764624,0.00031744924],"category_scores_gemma":[0.000038869333,0.0002090744,0.0002605228,0.00007961142,0.00023482225,0.00036681493,0.00013101917,0.00014447622,0.00016067123],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014082488,0.0002883103,0.8897792,0.00006905195,0.0005699223,0.000025963494,0.0047098896,0.0022329665,0.000112133675,0.047581542,0.0005211955,0.05396901],"study_design_scores_gemma":[0.0040417123,0.00025265824,0.5050598,0.000075702,0.00011113721,0.00014359121,0.0051411013,0.014695255,0.0074819545,0.12118153,0.3395672,0.00224832],"about_ca_topic_score_codex":0.0016103823,"about_ca_topic_score_gemma":0.00047415082,"teacher_disagreement_score":0.38471937,"about_ca_system_score_codex":0.00012653967,"about_ca_system_score_gemma":0.00005243073,"threshold_uncertainty_score":0.85258067},"labels":[],"label_agreement":null},{"id":"W2914005129","doi":"10.2737/fpl-rn-345","title":"United States housing, fourth quarter 2013","year":2017,"lang":"en","type":"report","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Business; Economics; Geography","score_opus":0.058039491310868836,"score_gpt":0.25297282142984323,"score_spread":0.1949333301189744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914005129","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0059031732,0.0008984793,0.0012122904,0.0011103095,0.0047619,0.00027906353,0.00047174195,0.00017904269,0.985184],"genre_scores_gemma":[0.15827069,0.1940622,0.0042441105,0.00178384,0.006439359,0.0001345943,0.0067090704,0.0009784203,0.6273777],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971611,0.000014789727,0.0012256639,0.0008616526,0.000075283395,0.0006614914],"domain_scores_gemma":[0.99639094,0.0000635471,0.0017397985,0.0014511062,0.00016359458,0.00019103255],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014705501,0.0005125699,0.0012403202,0.00084896456,0.0003354971,0.00070611906,0.00069689547,0.00064493826,0.0034034734],"category_scores_gemma":[0.00018772925,0.00058707193,0.00038065956,0.00010260214,0.00012928274,0.00031628946,0.00017322155,0.000503714,0.0046341317],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011603741,0.00006284483,0.012626401,0.00014124629,0.00022859835,0.000019315252,0.00013433084,0.00012842794,5.371215e-8,0.0017499707,0.9815217,0.0033755112],"study_design_scores_gemma":[0.00030565902,0.000043932956,0.0010240289,0.000060381164,0.000022637376,0.00001110117,0.000039026418,0.0040125824,0.0000010732052,0.008152557,0.98553985,0.0007871383],"about_ca_topic_score_codex":0.017978981,"about_ca_topic_score_gemma":0.0015462782,"teacher_disagreement_score":0.3578063,"about_ca_system_score_codex":0.00048239148,"about_ca_system_score_gemma":0.0003004194,"threshold_uncertainty_score":0.99965805},"labels":[],"label_agreement":null},{"id":"W2914349464","doi":"10.1111/jofi.12952","title":"No Job, No Money, No Refi: Frictions to Refinancing in a Recession","year":2020,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Monetary policy; Market liquidity; Recession; Great recession; Economics; Monetary economics; Exploit; Unemployment; Closing (real estate); Zero lower bound; Aggregate demand; Business; Labour economics; Finance; Macroeconomics","score_opus":0.0335655545428276,"score_gpt":0.221546317965932,"score_spread":0.18798076342310438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914349464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8576406,0.00091945956,0.0015905915,0.0072572106,0.0017176685,0.00015869006,0.00002217688,0.000018106579,0.1306755],"genre_scores_gemma":[0.9851018,0.0055320268,0.0044246777,0.0019932569,0.0008506796,0.000004800573,7.9186657e-7,0.00003775204,0.0020541775],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99843234,0.00003362204,0.000999753,0.00019736588,0.00004461106,0.0002923117],"domain_scores_gemma":[0.99872667,0.0000922703,0.00071502494,0.00025579665,0.00011026435,0.00009998644],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012199625,0.00014701334,0.00046988227,0.00016207772,0.0001391974,0.000049287486,0.00046676848,0.00008564497,0.00013186675],"category_scores_gemma":[0.0007710928,0.00013264081,0.00011179366,0.00042607347,0.00002723733,0.00035187768,0.0000938905,0.0004402938,0.0026156246],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008042135,0.0010119476,0.25117838,0.000563364,0.00029245045,0.00025920154,0.025052642,0.0591674,0.007867693,0.041899227,0.55276847,0.051897123],"study_design_scores_gemma":[0.0010085665,0.000571427,0.031064475,0.0002704269,0.000010595872,0.000028176095,0.000067849665,0.010006216,0.00010524125,0.0025325662,0.9539432,0.00039127807],"about_ca_topic_score_codex":0.00014313495,"about_ca_topic_score_gemma":0.00003261663,"teacher_disagreement_score":0.40117475,"about_ca_system_score_codex":0.00017640599,"about_ca_system_score_gemma":0.000053236035,"threshold_uncertainty_score":0.99816096},"labels":[],"label_agreement":null},{"id":"W2914477311","doi":"","title":"Managing a Housing Boom","year":2018,"lang":"en","type":"article","venue":"2018 Meeting Papers","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Boom; Market segmentation; Debt; Economics; Loan-to-value ratio; Government (linguistics); Business; Payment; House price; Monetary economics; Labour economics; Financial system; Finance; Microeconomics; Mortgage insurance","score_opus":0.02335704146547189,"score_gpt":0.20865812481374252,"score_spread":0.18530108334827064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914477311","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18427505,0.0001778729,0.00031311333,0.0005082255,0.0011574476,0.000072798335,0.000005571549,0.00012841374,0.8133615],"genre_scores_gemma":[0.9938128,0.00015370328,0.002955029,0.0007576605,0.0007862411,0.0000048498378,0.0000037409459,0.000054274944,0.001471674],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986549,0.000012096493,0.00043493765,0.0004234173,0.000024949419,0.00044967147],"domain_scores_gemma":[0.9992682,0.00004222773,0.00024089466,0.00033994726,0.00001569436,0.00009304746],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007765703,0.00015837462,0.00027507264,0.0001646294,0.00031200185,0.0001383791,0.00022031875,0.00008786523,0.00068270613],"category_scores_gemma":[0.00011832398,0.00019867842,0.00009893147,0.00015195267,0.00013347683,0.00015736946,0.000085710315,0.00010584051,0.0024782033],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000319186,0.00032790497,0.51940554,0.00033354625,0.00072631653,0.00005802589,0.0129166925,0.0007319544,0.003851465,0.17098586,0.054270033,0.23607346],"study_design_scores_gemma":[0.0008813656,0.00013620051,0.006171656,0.00012882173,0.000021145199,0.000010382978,0.00046512674,0.0120078875,0.00053397403,0.023040118,0.95557535,0.0010279648],"about_ca_topic_score_codex":0.00025895884,"about_ca_topic_score_gemma":0.000107898486,"teacher_disagreement_score":0.9013053,"about_ca_system_score_codex":0.00011980467,"about_ca_system_score_gemma":0.0000127198455,"threshold_uncertainty_score":0.99829847},"labels":[],"label_agreement":null},{"id":"W2915503617","doi":"10.3138/cpp.2017-061","title":"Light Rail Transit and Property Values in Kitchener–Waterloo","year":2019,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Transit (satellite); Light rail transit; Property value; Residential property; Value (mathematics); Business; Transport engineering; Geography; Public transport; Engineering; Finance; Economic geography; Statistics; Real estate; Mathematics","score_opus":0.019388546335621603,"score_gpt":0.1850872703137034,"score_spread":0.1656987239780818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915503617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6359437,0.00024943057,0.000010912142,0.024799313,0.00023895658,0.00020280323,0.000053582487,0.00002470254,0.3384766],"genre_scores_gemma":[0.98845154,0.00017765685,0.00007093024,0.0019123324,0.00017016463,0.000012178933,0.000011619852,0.000032725784,0.009160863],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99860173,0.000013653143,0.00035891993,0.00037466135,0.000015125672,0.00063590443],"domain_scores_gemma":[0.999136,0.000012181162,0.000070537775,0.00029973258,0.000012936314,0.00046862723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042778655,0.00014978314,0.0003287471,0.0010001094,0.00007250268,0.00022105552,0.00021758473,0.00014226239,0.00048942777],"category_scores_gemma":[0.00007172275,0.00014979258,0.000050708128,0.0003087074,0.00003405274,0.00041368871,0.000023754676,0.00013512066,0.0007443843],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001361975,0.000049685143,0.5107135,0.0000976781,0.00005043444,0.000017389586,0.003508406,0.000012781369,0.00004694804,0.43733895,0.006550373,0.041600216],"study_design_scores_gemma":[0.0008382515,0.000035535377,0.040404387,0.000014603533,0.0000018034242,0.000011773604,0.00009135706,0.0014685182,0.000020018195,0.0300225,0.926622,0.00046929848],"about_ca_topic_score_codex":0.29138696,"about_ca_topic_score_gemma":0.25501558,"teacher_disagreement_score":0.9200716,"about_ca_system_score_codex":0.0005002992,"about_ca_system_score_gemma":0.0005448015,"threshold_uncertainty_score":0.95678025},"labels":[],"label_agreement":null},{"id":"W2915831510","doi":"10.1051/matecconf/201926606015","title":"Price Prediction Model of Demand and Supply in the Housing Market","year":2019,"lang":"en","type":"article","venue":"MATEC Web of Conferences","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Supply and demand; Quarter (Canadian coin); Order (exchange); Economics; Business; Microeconomics; Finance","score_opus":0.02259448872440379,"score_gpt":0.1947663734586173,"score_spread":0.17217188473421352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915831510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7863063,0.00012917633,0.00018505614,0.00009957557,0.00007290111,0.000112649715,0.000044355602,0.0000054536104,0.2130445],"genre_scores_gemma":[0.9989875,0.0006515455,0.00020357809,0.000023583945,0.000010217727,0.0000039344177,0.0000026431699,0.0000057674565,0.00011123353],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928695,0.000015141399,0.00040428946,0.00015253939,0.000023975623,0.00011710133],"domain_scores_gemma":[0.9995078,0.00006935816,0.00024284831,0.00014998215,0.000015419067,0.000014588509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080115267,0.000073687195,0.00026508473,0.00013856607,0.000019860046,0.00003645668,0.00014492302,0.00005961987,0.0002224538],"category_scores_gemma":[0.000022467422,0.00006626354,0.00002836552,0.000078636585,0.00006153963,0.00014279738,0.000030808056,0.000060775816,0.000007459721],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003889999,0.00003506396,0.9377185,0.00012149021,0.000013469467,1.5654936e-7,0.0005742911,0.000775783,0.00010912297,0.059524737,0.00012961413,0.00095887634],"study_design_scores_gemma":[0.0007948236,0.00010727527,0.349808,0.000092522445,0.000008407792,0.0000020022665,0.00074677303,0.59933025,0.0002488064,0.04640134,0.0022635302,0.00019628563],"about_ca_topic_score_codex":0.00015979673,"about_ca_topic_score_gemma":0.00006244117,"teacher_disagreement_score":0.59855443,"about_ca_system_score_codex":0.000010850417,"about_ca_system_score_gemma":0.00005275432,"threshold_uncertainty_score":0.27021492},"labels":[],"label_agreement":null},{"id":"W2916957661","doi":"10.1080/02723638.2019.1567202","title":"The price ripple effect in the Vancouver housing market","year":2019,"lang":"en","type":"article","venue":"Urban Geography","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Metropolitan area; Real estate; Ripple; House price; Salience (neuroscience); Epicenter; Economics; Demographic economics; Geography; Monetary economics; Finance","score_opus":0.005518096288255496,"score_gpt":0.16852878399852797,"score_spread":0.16301068771027247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2916957661","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60253227,0.0010381017,0.00004745916,0.00023201485,0.0013800417,0.0004258547,0.000012888661,0.00003248068,0.3942989],"genre_scores_gemma":[0.9981089,0.00029895836,0.000068698166,0.0005080616,0.00013494253,0.00003360983,0.0000033729095,0.000028300617,0.0008151321],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986748,0.00006615957,0.00041744026,0.00034500114,0.000040801264,0.00045579125],"domain_scores_gemma":[0.99863243,0.0004898358,0.00021302997,0.00061681226,0.000009721442,0.000038168724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023606909,0.00017293068,0.00028440412,0.00022769392,0.00021850281,0.0002245574,0.0005157114,0.00008741086,0.00031756953],"category_scores_gemma":[0.000058769587,0.00012599166,0.00022049925,0.0004815124,0.000075170705,0.0001790328,0.00006311653,0.00024614134,0.0004078756],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041383923,0.00002815228,0.9495853,0.000017582652,0.00002849575,0.0000017151799,0.0002397296,0.000029453498,6.923398e-7,0.0035508138,0.044670593,0.0018060661],"study_design_scores_gemma":[0.00070695265,0.00009149949,0.28043142,0.000015728347,0.0000064112633,0.000001093504,0.00013941966,0.0020804435,0.000004277085,0.010002182,0.70621884,0.00030172875],"about_ca_topic_score_codex":0.00026830964,"about_ca_topic_score_gemma":0.00038305557,"teacher_disagreement_score":0.66915387,"about_ca_system_score_codex":0.000046768553,"about_ca_system_score_gemma":0.000009284535,"threshold_uncertainty_score":0.52425516},"labels":[],"label_agreement":null},{"id":"W2918977726","doi":"","title":"Memphis and Beyond: Assessing the Market for CRA Investment","year":2017,"lang":"en","type":"article","venue":"Bridges Conversations in Global Politics and Public Policy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Memphis; Investment (military); Business; Economics; Finance; Political science; Law","score_opus":0.04001923212241392,"score_gpt":0.28930222660936156,"score_spread":0.24928299448694763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918977726","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39439675,0.0005915034,0.0009216299,0.06464192,0.00051760615,0.00044048508,0.0008920297,0.000029060926,0.53756905],"genre_scores_gemma":[0.9948227,0.0006218927,0.00054600433,0.0032492531,0.00024241314,0.000032295608,0.000015927257,0.000012634248,0.00045688235],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99888235,0.000018473142,0.00036110508,0.00028394297,0.00002472176,0.00042942466],"domain_scores_gemma":[0.9990083,0.000114651564,0.00026930773,0.00041905176,0.00003231958,0.00015636465],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006176732,0.00013935825,0.00023780086,0.00014933193,0.00074303965,0.0012111246,0.0002675375,0.00008851627,0.000021088927],"category_scores_gemma":[0.00081753853,0.00014464298,0.00005355378,0.00006895537,0.00037269376,0.00052089844,0.00017047339,0.00007277372,0.0000064032006],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015242424,0.000019421444,0.14799458,0.000015330656,0.00002046426,3.4963438e-7,0.00011431226,0.0000015613215,1.15050696e-7,0.8456682,0.002574045,0.0035900895],"study_design_scores_gemma":[0.0007625977,0.000018564184,0.44301832,0.000009406396,0.000008533816,0.000009842732,0.00029940106,0.012638997,0.0000011575729,0.3805332,0.16248511,0.0002148749],"about_ca_topic_score_codex":0.005755256,"about_ca_topic_score_gemma":0.00039278145,"teacher_disagreement_score":0.60042596,"about_ca_system_score_codex":0.0002822873,"about_ca_system_score_gemma":0.00015910558,"threshold_uncertainty_score":0.9998257},"labels":[],"label_agreement":null},{"id":"W2919212164","doi":"10.1007/978-4-431-55942-9_6","title":"Measuring the Services of Durables and Owner Occupied Housing","year":2020,"lang":"en","type":"book-chapter","venue":"Advances in Japanese business and economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Consumer expenditure; Business; Economics; Durable good; Period (music); Commerce; Marketing; Public economics; Microeconomics; Aggregate expenditure","score_opus":0.024377914553986555,"score_gpt":0.1894018820073203,"score_spread":0.16502396745333375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919212164","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27168262,0.0437228,0.00004615123,0.0015869628,0.00136343,0.000711748,0.0003412633,0.000066680026,0.68047833],"genre_scores_gemma":[0.83702916,0.15851174,0.00034184096,0.00036042326,0.00034025006,0.000017048425,0.000044031156,0.0001548458,0.0032006623],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978674,0.0000071939025,0.0010973173,0.0007071188,0.000024587414,0.00029640374],"domain_scores_gemma":[0.9983725,0.0001381624,0.00096865755,0.00039340166,0.00004093464,0.00008636894],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041746767,0.00044012011,0.0011485261,0.00025099714,0.00014472539,0.00015199746,0.0003238489,0.0002714407,0.00005635316],"category_scores_gemma":[0.000032632157,0.0003807219,0.000093142364,0.00007115964,0.00030200367,0.0006910511,0.0002591548,0.0002788106,0.00002620553],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006743087,0.000102226986,0.080483146,0.006876577,0.0005220586,0.000037615744,0.006484897,0.010582408,0.000011944875,0.7628686,0.0000717795,0.13128445],"study_design_scores_gemma":[0.002331187,0.00008918605,0.012615671,0.0012043979,0.00011932966,0.000059323094,0.0011382528,0.011789146,0.000017145294,0.43421036,0.5337736,0.0026524055],"about_ca_topic_score_codex":0.0002466059,"about_ca_topic_score_gemma":0.0010613912,"teacher_disagreement_score":0.6772777,"about_ca_system_score_codex":0.00008223525,"about_ca_system_score_gemma":0.000030519466,"threshold_uncertainty_score":0.99986446},"labels":[],"label_agreement":null},{"id":"W2919538223","doi":"10.34989/san-2018-36","title":"Modelling the Macrofinancial Effects of a House Price Correction in Canada","year":2021,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"House price; Economics; Suite; Macroeconomics; Monetary economics; Geography","score_opus":0.011951994656995892,"score_gpt":0.161041122004431,"score_spread":0.1490891273474351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919538223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9366624,0.0002875684,0.014151736,0.000133579,0.0016248567,0.00009045543,0.0000037398877,0.000011559626,0.047034126],"genre_scores_gemma":[0.9986872,0.00033311459,0.0002777872,0.00013064148,0.000042507774,0.0000064011833,0.000001148775,0.000014557485,0.0005066135],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929225,0.000011344318,0.0003416302,0.00017198459,0.00001510306,0.00016768448],"domain_scores_gemma":[0.9995281,0.00013011946,0.00012855906,0.00017459916,0.000015787018,0.000022801583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019549679,0.00006791735,0.0002134368,0.000047417427,0.000039340815,0.000016615872,0.00008812443,0.000035127054,0.00006309766],"category_scores_gemma":[0.000078184654,0.00006937418,0.000040173494,0.00019839146,0.000011502009,0.00006598196,0.000031584983,0.00009539377,0.000018820327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008399143,0.00021457027,0.3099734,0.0002662568,0.00007802636,0.000078201185,0.0020289698,0.58175737,0.0000664198,0.08430547,0.0072841235,0.01386322],"study_design_scores_gemma":[0.0006676827,0.000019255689,0.013451657,0.000035639558,0.0000048083148,0.0000079661095,0.00023937399,0.9609545,0.002621116,0.005461047,0.016256174,0.00028078785],"about_ca_topic_score_codex":0.81595886,"about_ca_topic_score_gemma":0.7597118,"teacher_disagreement_score":0.37919712,"about_ca_system_score_codex":0.00030771375,"about_ca_system_score_gemma":0.00029820035,"threshold_uncertainty_score":0.2828997},"labels":[],"label_agreement":null},{"id":"W2919775596","doi":"10.34989/san-2018-18","title":"Interest Rate and Renewal Risk for Mortgages","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Interest rate; Interest rate risk; Business; Credit risk; Context (archaeology); Actuarial science; Equity (law); Finance; Political science; Geography","score_opus":0.05742483133144813,"score_gpt":0.2584163787695448,"score_spread":0.2009915474380967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919775596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98008096,0.00033895508,0.00844341,0.0008304519,0.0002108119,0.00007731084,0.00024321818,0.00002502569,0.009749827],"genre_scores_gemma":[0.9959231,0.00061292486,0.002820925,0.00008248488,0.00013988957,0.000003894951,0.000018596229,0.00002106087,0.0003771369],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99901414,0.000015633368,0.00035366,0.00036414692,0.000009521038,0.00024287103],"domain_scores_gemma":[0.99917173,0.00036707922,0.000114497685,0.00021224783,0.0000302655,0.0001041725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043659753,0.000114764414,0.00033073887,0.000073594274,0.0001023703,0.00012475856,0.00007468642,0.000080322,0.00017529764],"category_scores_gemma":[0.001115304,0.0001307885,0.00010994482,0.00009043976,0.000080660524,0.00009514128,0.00006803492,0.00009566031,0.00004936653],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012546769,0.0002746176,0.16849257,0.00011903564,0.00036001403,0.000027000437,0.00028528555,0.00032793617,0.000121283694,0.8184997,0.0009776085,0.010389484],"study_design_scores_gemma":[0.0015545475,0.00026419357,0.010727936,0.000028719794,0.0001110626,0.000013284528,0.00028173416,0.37049302,0.0008087436,0.5693615,0.045541514,0.0008137598],"about_ca_topic_score_codex":0.000094729505,"about_ca_topic_score_gemma":0.00020203085,"teacher_disagreement_score":0.37016508,"about_ca_system_score_codex":0.000036078516,"about_ca_system_score_gemma":0.000023001767,"threshold_uncertainty_score":0.53334004},"labels":[],"label_agreement":null},{"id":"W2920739672","doi":"10.5539/ijef.v11n3p89","title":"Critical Reflections on Different Trends in the Relationship between Financial Developments and Economic Growth in China","year":2018,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Causality (physics); Economics; Chinese economy; State (computer science); Economic system; Development economics; Political science","score_opus":0.0655906538114498,"score_gpt":0.3008879966264803,"score_spread":0.2352973428150305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920739672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98189217,0.00008416035,0.00006541407,0.0041593644,0.000835157,0.00003865356,0.000041286778,0.0000016636865,0.012882126],"genre_scores_gemma":[0.99755615,0.0013661016,0.00031004052,0.00022898652,0.00047844063,0.0000042058914,0.0000043206346,0.000010556307,0.000041208234],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987343,0.000021927859,0.00082732196,0.00022455062,0.0000196793,0.00017222777],"domain_scores_gemma":[0.9992242,0.0002940924,0.0003362109,0.00008644216,0.000025335297,0.00003372921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007144897,0.00012737268,0.00029920807,0.0006111043,0.00008550695,0.00013899471,0.00027439414,0.00008928652,0.000019333316],"category_scores_gemma":[0.00026345585,0.00012503381,0.00005678366,0.00007199892,0.00012678662,0.00034144902,0.000048531303,0.00025985404,0.000015452004],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006230698,0.00004498068,0.52294505,0.0000018514316,0.000011010275,0.0000038734156,0.00063774834,0.00006782527,9.884818e-8,0.4708116,0.00008869903,0.00532498],"study_design_scores_gemma":[0.00059633853,0.00010722224,0.8247435,0.00002769533,0.0000021121305,0.000022665734,0.000022335658,0.00059827155,0.0000040155933,0.169972,0.003787821,0.000115992974],"about_ca_topic_score_codex":0.000097927536,"about_ca_topic_score_gemma":0.00055451953,"teacher_disagreement_score":0.3017985,"about_ca_system_score_codex":0.0002405824,"about_ca_system_score_gemma":0.00003581986,"threshold_uncertainty_score":0.5098731},"labels":[],"label_agreement":null},{"id":"W2921223604","doi":"10.5089/9781484381236.001","title":"Balancing Financial Stability and Housing Affordability","year":2018,"lang":"en","type":"article","venue":"IMF Working Paper","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stylized fact; Economics; Financial stability; Volatility (finance); Tax policy; Public economics; Monetary economics; Finance; Business; Tax reform; Macroeconomics; Financial system","score_opus":0.030818868194077465,"score_gpt":0.21239037669066715,"score_spread":0.18157150849658968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921223604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8778182,0.00021800004,0.00075191195,0.00034310677,0.0010013725,0.00011991514,0.000009324563,0.0000814464,0.11965667],"genre_scores_gemma":[0.997047,0.00006938156,0.0016566126,0.00046791797,0.00066787546,0.000006448358,0.0000026826956,0.000029061204,0.000053008294],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99849194,0.000020313015,0.000504289,0.0005395819,0.00002537667,0.00041848343],"domain_scores_gemma":[0.99921435,0.00008669787,0.00018012006,0.00039948602,0.000023607152,0.0000957614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011573089,0.00017228478,0.00035704763,0.000081142396,0.0003202624,0.0001496139,0.00014019919,0.00013309991,0.00069526635],"category_scores_gemma":[0.00028179656,0.0002061148,0.000078462246,0.00016188949,0.0002302171,0.00024842133,0.000120171295,0.00016583272,0.00018611185],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006172891,0.00005935608,0.94972265,0.00003471154,0.000017230708,0.0000016716791,0.0012320532,0.000003982125,0.00022484186,0.019170117,0.0003203947,0.029151287],"study_design_scores_gemma":[0.0012422749,0.00015960178,0.5477423,0.000101927915,0.000017027105,0.000011053803,0.00018633842,0.00306792,0.0007464002,0.0962381,0.349295,0.0011920655],"about_ca_topic_score_codex":0.000173269,"about_ca_topic_score_gemma":0.0004608069,"teacher_disagreement_score":0.4019803,"about_ca_system_score_codex":0.00014297571,"about_ca_system_score_gemma":0.000030234738,"threshold_uncertainty_score":0.84051174},"labels":[],"label_agreement":null},{"id":"W2921378575","doi":"10.34989/san-2018-24","title":"The Characteristics of Uninsured Mortgages and their Securitization Potential","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Securitization; Business; Commercial mortgage-backed security; Financial system; Secondary mortgage market; Mortgage underwriting; Shared appreciation mortgage; Mortgage insurance; Finance","score_opus":0.015600927024864352,"score_gpt":0.20760216727436853,"score_spread":0.19200124024950418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921378575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880658,0.00048527628,0.005715961,0.00071092835,0.00018598653,0.00004467851,0.00014846132,0.000012023786,0.004630926],"genre_scores_gemma":[0.9983355,0.001259529,0.00018638463,0.000024754112,0.00007369857,7.472533e-7,0.000020826406,0.000011768671,0.00008679535],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992507,0.000016643762,0.00038041043,0.00017984888,0.000016400973,0.0001559819],"domain_scores_gemma":[0.9994079,0.00016720057,0.00014051425,0.00018271277,0.000051571777,0.000050111696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002601043,0.00008510473,0.0002557402,0.00004089658,0.00011646967,0.00008660647,0.000075756165,0.00006108848,0.000073191004],"category_scores_gemma":[0.00038455217,0.00007420521,0.00006750654,0.00011154978,0.00013694089,0.000065688124,0.000057988178,0.00007533493,0.000008174788],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008963996,0.00034582792,0.16571592,0.00013315822,0.00041269223,0.000022628368,0.00092820864,0.00025262553,0.0005644714,0.8017318,0.00021902946,0.02958395],"study_design_scores_gemma":[0.0010856527,0.00019075598,0.12362098,0.000045678433,0.000079930585,0.000032077776,0.0010993829,0.64616287,0.0018748613,0.20425737,0.020762533,0.00078792043],"about_ca_topic_score_codex":0.00002493135,"about_ca_topic_score_gemma":0.00001811384,"teacher_disagreement_score":0.6459102,"about_ca_system_score_codex":0.000017416914,"about_ca_system_score_gemma":0.000024739862,"threshold_uncertainty_score":0.30260006},"labels":[],"label_agreement":null},{"id":"W2922276111","doi":"10.1007/s41688-018-0027-0","title":"Peer-Dependence Valuation Model for Real Estate Appraisal","year":2019,"lang":"en","type":"article","venue":"Data-Enabled Discovery and Applications","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Mitacs","keywords":"Valuation (finance); Real estate; Income approach; Computer science; Database transaction; Residential real estate; Artificial intelligence; Deep learning; Machine learning; Econometrics; Data mining; Finance; Business; Economics; Database","score_opus":0.07076444833203843,"score_gpt":0.2909404515422978,"score_spread":0.22017600321025937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922276111","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07623221,0.00007179519,0.77028453,0.0008430289,0.00024189816,0.0013697317,0.0074524703,0.00007897601,0.14342533],"genre_scores_gemma":[0.9769338,0.0021297669,0.0061617675,0.00012800438,0.00021197164,0.00048356043,0.005638468,0.00004414459,0.008268522],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99868613,0.000008017409,0.0004009326,0.0006249457,0.000038466194,0.00024151956],"domain_scores_gemma":[0.99867195,0.00017639247,0.00021950233,0.00082678674,0.000040211104,0.00006517564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010601286,0.00013327584,0.0002536582,0.000080678925,0.00018101899,0.00027136676,0.00036593113,0.00007766302,0.000034021115],"category_scores_gemma":[0.00009051612,0.00015667609,0.00004323161,0.000101486774,0.000039997372,0.0013956818,0.00016473258,0.000083060964,0.00024970173],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007904952,0.00016547165,0.012751851,0.0001320873,0.000064795706,1.6670224e-7,0.00040493187,0.015844671,0.0001176059,0.9341328,0.0054924437,0.030814096],"study_design_scores_gemma":[0.0005052038,0.000017238866,0.0006645628,0.0000040410832,0.00001672329,0.0000013086246,0.000116252275,0.7777265,0.000012289091,0.06238506,0.15830213,0.00024871426],"about_ca_topic_score_codex":0.00016883081,"about_ca_topic_score_gemma":0.00007025195,"teacher_disagreement_score":0.9007016,"about_ca_system_score_codex":0.000036230787,"about_ca_system_score_gemma":0.00005195137,"threshold_uncertainty_score":0.63890654},"labels":[],"label_agreement":null},{"id":"W2922478315","doi":"10.2737/fpl-rn-352","title":"United States housing, fourth quarter 2014","year":2018,"lang":"en","type":"report","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Context (archaeology); Single family; Geography; Economics; Finance; Archaeology","score_opus":0.042968995722580644,"score_gpt":0.2407793138896127,"score_spread":0.19781031816703207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922478315","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009483242,0.000574494,0.0030150006,0.00045679123,0.0049539735,0.0002612723,0.00044840484,0.0002351711,0.9805716],"genre_scores_gemma":[0.19659092,0.16408177,0.015068715,0.0068473564,0.021651512,0.00021791896,0.014938248,0.0021130652,0.5784905],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969194,0.000019805042,0.0013875467,0.00091349654,0.00008069788,0.0006790447],"domain_scores_gemma":[0.9974606,0.00007562687,0.0011235137,0.0009386003,0.0002145713,0.00018709447],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0016912128,0.0005087201,0.0011294087,0.0010133041,0.00017031413,0.00033775897,0.00044955948,0.00063750456,0.010607952],"category_scores_gemma":[0.00013891983,0.00058035355,0.00034395358,0.00024274239,0.00014533904,0.00019981262,0.00013984565,0.00039927394,0.0114491815],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012810961,0.00005543281,0.011179581,0.000103811464,0.00017694665,0.000007562794,0.00014247905,0.000040633367,6.803418e-8,0.0017136486,0.98551834,0.0010486592],"study_design_scores_gemma":[0.00027717606,0.000087695276,0.000528261,0.00004356439,0.000022214892,0.000011006575,0.00005463795,0.003523642,0.0000027103783,0.00880349,0.98586506,0.0007805223],"about_ca_topic_score_codex":0.0050335466,"about_ca_topic_score_gemma":0.0008545239,"teacher_disagreement_score":0.40208116,"about_ca_system_score_codex":0.0005577045,"about_ca_system_score_gemma":0.00022478827,"threshold_uncertainty_score":0.9996648},"labels":[],"label_agreement":null},{"id":"W292498475","doi":"10.1023/a:1026325607145","title":"Creditworthiness or Management Signal? An Empirical Investigation of Loan Commitments Obtained by Non-taxable Firms","year":2003,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Real estate investment trust; Taxable income; Business; Loan; Equity (law); Real estate; Monetary economics; Debt; Market value; Finance; Sample (material); Economics; Accounting","score_opus":0.02935716251530161,"score_gpt":0.23771840548895862,"score_spread":0.20836124297365702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W292498475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9844722,0.000111626,0.0005983339,0.00022259186,0.0002951692,0.00016091923,0.00005090487,0.0000055390874,0.014082708],"genre_scores_gemma":[0.9505253,0.04714125,0.0016651863,0.00015523676,0.000065651126,0.0000039566607,0.000012788801,0.000029469436,0.00040117546],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983416,0.000047472124,0.0010990785,0.00020173826,0.000029292714,0.00028079376],"domain_scores_gemma":[0.99810237,0.00010292216,0.0013588147,0.00027852514,0.00004468015,0.00011271799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001732537,0.00019497596,0.00057199027,0.00013971001,0.00014778317,0.000065523884,0.00029968293,0.00009002768,0.00004788768],"category_scores_gemma":[0.000019305075,0.00016198665,0.000080821745,0.00013283713,0.00015154571,0.00061213196,0.000044477827,0.00017822444,0.000011389529],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033426466,0.00094462524,0.8034277,0.0005932722,0.0010239048,0.000058220518,0.014546226,0.038339652,0.00009820281,0.018082313,0.021980131,0.097563095],"study_design_scores_gemma":[0.018969435,0.006454093,0.26597616,0.0005171867,0.0005124206,0.0005635561,0.0075732195,0.10442491,0.0036953837,0.15991956,0.42782694,0.0035671177],"about_ca_topic_score_codex":0.00017516874,"about_ca_topic_score_gemma":0.00008366457,"teacher_disagreement_score":0.53745157,"about_ca_system_score_codex":0.000111590954,"about_ca_system_score_gemma":0.00006176567,"threshold_uncertainty_score":0.6605624},"labels":[],"label_agreement":null},{"id":"W2927008325","doi":"10.3386/w25701","title":"Market Frictions, Arbitrage, and the Capitalization of Amenities","year":2019,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Capitalization; Arbitrage; Economics; Business; Financial economics; Monetary economics","score_opus":0.25743485933130883,"score_gpt":0.4173750261458641,"score_spread":0.15994016681455525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2927008325","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003907116,0.002999,0.00002630559,0.00067483325,0.0008684768,0.0005824973,0.00040582725,0.000009023529,0.9905269],"genre_scores_gemma":[0.9431132,0.028272076,0.00014220005,0.000038387967,0.00052688824,0.000088129185,0.00029165286,0.00007018723,0.02745726],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99743897,0.00011308895,0.0014227417,0.00048216147,0.00024159036,0.00030142104],"domain_scores_gemma":[0.99644446,0.0013548282,0.0011047062,0.00041651528,0.00062651,0.000053000644],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009574844,0.00020599735,0.00092009694,0.0010444236,0.00014521887,0.00010079733,0.0004244797,0.0003470221,0.00130859],"category_scores_gemma":[0.001202614,0.00020499201,0.00022685887,0.00016129023,0.00069737225,0.00022489174,0.00018546141,0.00053925643,0.00014384487],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000113747265,0.00003999656,0.00434778,0.0003122721,0.0002538381,2.7417008e-7,0.00021567974,0.00021025729,0.0000010251695,0.9258105,0.06827322,0.0004213823],"study_design_scores_gemma":[0.0011898245,0.00006392793,0.0016156246,0.00009548644,0.000017827519,0.000012449714,0.00021380428,0.005672285,0.00001665898,0.87083185,0.11998097,0.0002892879],"about_ca_topic_score_codex":0.0033427447,"about_ca_topic_score_gemma":0.0001664023,"teacher_disagreement_score":0.9630697,"about_ca_system_score_codex":0.00082071713,"about_ca_system_score_gemma":0.0010697391,"threshold_uncertainty_score":0.99960434},"labels":[],"label_agreement":null},{"id":"W2930153556","doi":"10.33736/uraf.1215.2018","title":"Empirical Analysis of Factors Influencing Residential Property Prices in Malaysia","year":2018,"lang":"en","type":"article","venue":"UNIMAS Review of Accounting and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cointegration; Inflation (cosmology); Economics; Unit root test; Granger causality; Unit root; Econometrics; Johansen test; Variance decomposition of forecast errors; Price index; Residential property; Error correction model; Augmented Dickey–Fuller test; Quarter (Canadian coin); Population; Consumer price index (South Africa); Index (typography); Gross domestic product; Macroeconomics; Geography; Demography; Monetary policy","score_opus":0.030128586749440647,"score_gpt":0.2601580606531114,"score_spread":0.2300294739036708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2930153556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97669363,0.011845842,0.00007913475,0.00009375663,0.00007500973,0.00011799816,0.000018081568,0.000007540185,0.011069003],"genre_scores_gemma":[0.95980895,0.03916661,0.00079743785,0.000121693934,0.00003620893,0.0000032140315,0.0000061802225,0.000010749121,0.000048977614],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99839413,0.000012552106,0.0010335011,0.00032060637,0.00003646677,0.00020276468],"domain_scores_gemma":[0.99874145,0.000057160967,0.00084220537,0.0002671539,0.000073726194,0.000018308176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010260597,0.00013235495,0.0008859611,0.00043647058,0.000047376165,0.000025263715,0.0001957553,0.00007182221,0.00007597753],"category_scores_gemma":[0.00033233344,0.0001145535,0.00013820927,0.0010360536,0.00014452338,0.00027336561,0.0000821015,0.00009864147,0.000008585023],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012540924,0.00003557704,0.99374026,0.0011423238,0.000084219326,5.962331e-7,0.000632072,0.000040277566,0.000015195924,0.001823259,0.00012814617,0.0023455182],"study_design_scores_gemma":[0.00029580548,0.00008289754,0.9538977,0.0024765364,0.00015574862,0.0000010427425,0.00009318682,0.009142784,0.00013361048,0.00085723476,0.032500885,0.00036254356],"about_ca_topic_score_codex":0.00058167137,"about_ca_topic_score_gemma":0.00010610831,"teacher_disagreement_score":0.03984255,"about_ca_system_score_codex":0.000036508976,"about_ca_system_score_gemma":0.000026981796,"threshold_uncertainty_score":0.4671356},"labels":[],"label_agreement":null},{"id":"W2934384072","doi":"10.5430/afr.v8n2p99","title":"Considerations for a Regression-Based Real Estate Valuation and Appraisal Model: A Pilot Study","year":2019,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Real estate; Regression analysis; Econometrics; Actuarial science; Market value; Regression; Sample (material); Linear regression; Hedonic regression; Value (mathematics); Economics; Estate; Statistics; Accounting; Mathematics; Finance","score_opus":0.18239566609924837,"score_gpt":0.3698772166299261,"score_spread":0.18748155053067775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2934384072","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863341,0.00006995948,0.0007973473,0.00049757276,0.00011008752,0.00092671736,0.00002530616,0.000025610552,0.011213296],"genre_scores_gemma":[0.99605536,0.0007526634,0.0026749915,0.00003277517,0.00005330853,0.00019494636,0.0000083019095,0.000027232765,0.00020038795],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986416,0.000035491285,0.00037935647,0.0005026832,0.00006174356,0.00037909913],"domain_scores_gemma":[0.99841374,0.0010054908,0.0001482516,0.0002578605,0.00013726081,0.00003742195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031937833,0.00011873888,0.00028415507,0.000257183,0.0004168557,0.00033045758,0.000082510254,0.00005356594,0.000019657544],"category_scores_gemma":[0.0006687361,0.00012924681,0.000024621975,0.00014480195,0.000083209954,0.00032396195,0.0000704354,0.00019543809,0.000045099066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044069282,0.00086622505,0.86079866,0.00028737134,0.00006374162,0.000003301636,0.004117297,0.009773348,0.00022522829,0.07865936,0.0017726716,0.042992108],"study_design_scores_gemma":[0.0015778284,0.000658504,0.031114686,0.00003398654,0.0000040876776,0.0000012965361,0.0003960958,0.8986955,0.000008875397,0.06661889,0.0006684609,0.00022173792],"about_ca_topic_score_codex":0.0009880686,"about_ca_topic_score_gemma":0.00017717178,"teacher_disagreement_score":0.8889222,"about_ca_system_score_codex":0.000047256413,"about_ca_system_score_gemma":0.00009327847,"threshold_uncertainty_score":0.52705324},"labels":[],"label_agreement":null},{"id":"W2936838068","doi":"10.1016/j.frl.2019.04.029","title":"Real estate as a common risk factor in the financial sector: International evidence","year":2019,"lang":"en","type":"article","venue":"Finance research letters","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université Laval","funders":"","keywords":"Real estate; Capitalization rate; Real estate investment trust; Sample (material); Risk premium; Business; Financial sector; Economics; Finance; Financial economics","score_opus":0.08357621146692408,"score_gpt":0.315673664468338,"score_spread":0.23209745300141393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936838068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94060963,0.00007360104,0.000037080124,0.00478505,0.00065895927,0.0003870616,0.00008496876,0.000017871975,0.053345796],"genre_scores_gemma":[0.9887093,0.010060663,0.00013561375,0.00050397275,0.00022513092,0.000055346583,0.000009149175,0.000023904067,0.0002769622],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979963,0.00016494811,0.0005016315,0.00052682555,0.00015350996,0.00065684086],"domain_scores_gemma":[0.998482,0.0006532448,0.00021501227,0.0005708427,0.000033652344,0.00004526993],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0030989558,0.00015485124,0.0003062061,0.00038136175,0.00015507537,0.00022943829,0.001012029,0.000096794414,0.00054379366],"category_scores_gemma":[0.000656093,0.00015238905,0.000107744716,0.00042906078,0.00013177925,0.00053349324,0.00015768624,0.0008398654,0.0030514945],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002277647,0.0001031326,0.93991464,0.000041124375,0.000019796344,0.000062726474,0.004596108,0.00077650417,0.000216221,0.010835714,0.006166819,0.037039448],"study_design_scores_gemma":[0.00074882735,0.00015753048,0.8344868,0.00010106938,0.0000013283616,0.00000755357,0.00016611164,0.0057570226,0.000050222538,0.006022452,0.15211937,0.0003817225],"about_ca_topic_score_codex":0.005162228,"about_ca_topic_score_gemma":0.0009160453,"teacher_disagreement_score":0.14595255,"about_ca_system_score_codex":0.00040502605,"about_ca_system_score_gemma":0.00007165066,"threshold_uncertainty_score":0.9977248},"labels":[],"label_agreement":null},{"id":"W2938746304","doi":"10.1080/02673037.2019.1585521","title":"Housing affordability, subsidized lending and cross-city variation in the performance of China’s housing provident fund program","year":2019,"lang":"en","type":"article","venue":"Housing Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for International Governance Innovation","funders":"Fudan University","keywords":"Subsidy; China; Business; Variation (astronomy); Distribution (mathematics); Inequality; Subsidized housing; Panel data; Economics; Demographic economics; Labour economics; Finance; Geography; Market economy","score_opus":0.06479239325332267,"score_gpt":0.2978981172534442,"score_spread":0.2331057240001215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2938746304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936743,0.0011055312,0.00005889657,0.00018597888,0.0005466773,0.00079395704,0.000008368642,0.00006660436,0.0035597351],"genre_scores_gemma":[0.9973969,0.0011075122,0.0012697033,0.00004265854,0.00009079507,0.000031176944,0.00000256595,0.00003404622,0.000024639121],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99807346,0.000050458697,0.00086305133,0.0005049521,0.00007426955,0.0004338259],"domain_scores_gemma":[0.9987868,0.00016931217,0.00058666285,0.00037690075,0.000051239596,0.00002906531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024704854,0.00024484738,0.00067914225,0.0002479883,0.00033490965,0.00026645252,0.00020960583,0.000099137644,0.000013567728],"category_scores_gemma":[0.00017365057,0.00022767036,0.00009575876,0.00033456905,0.00023021859,0.000636632,0.00019142205,0.00021837678,0.000011178716],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072937924,0.00013500846,0.9847785,0.00043700304,0.00006314786,0.0000011691848,0.0065702507,0.0009854286,0.00007097591,0.0015534251,0.0000061161563,0.0053260117],"study_design_scores_gemma":[0.0011702223,0.00022634347,0.9791642,0.00020645621,0.000023825784,0.0000044889325,0.0009930026,0.014755435,0.00015130265,0.0024508853,0.00043732167,0.0004165315],"about_ca_topic_score_codex":0.0004962825,"about_ca_topic_score_gemma":0.00037260712,"teacher_disagreement_score":0.0137700075,"about_ca_system_score_codex":0.00025259313,"about_ca_system_score_gemma":0.000032202235,"threshold_uncertainty_score":0.9284128},"labels":[],"label_agreement":null},{"id":"W2938916722","doi":"10.29173/mocs47","title":"Construction Capacity and New Housing Demand Caused by Tornados","year":2018,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Tornado; Damages; Procurement; Census; Construction industry; Business; Geography; Engineering; Construction engineering; Meteorology; Population; Political science","score_opus":0.02250196875849504,"score_gpt":0.19076713690669994,"score_spread":0.1682651681482049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2938916722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9812353,0.0005243494,0.006750753,0.0003443472,0.0008704485,0.00022482534,0.000046168545,0.00011694878,0.009886814],"genre_scores_gemma":[0.9906888,0.0007306909,0.007498751,0.0001792588,0.0005564157,0.000006205705,0.000011037933,0.00004352927,0.00028533075],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982121,0.0000073228985,0.00059146166,0.0007249251,0.000053363132,0.00041085007],"domain_scores_gemma":[0.99906564,0.00001773748,0.0003946722,0.0001456571,0.00009918112,0.00027712496],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039661577,0.00029714665,0.0004925253,0.00026775838,0.00050663674,0.0004313592,0.000107459906,0.000255771,0.00016430578],"category_scores_gemma":[0.00006992321,0.0003691173,0.0000722207,0.0002244848,0.0006374025,0.0008613586,0.00007749551,0.00020873145,0.00004704339],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011593663,0.000042725314,0.8506754,0.00016259529,0.00017273432,0.0000018222921,0.0012019504,0.0000034231632,0.002956431,0.052771542,0.0063099326,0.085585505],"study_design_scores_gemma":[0.01227581,0.0010310364,0.095344186,0.00042915836,0.00034355777,0.00064758345,0.003942371,0.035973694,0.02242443,0.15042387,0.6718618,0.0053024683],"about_ca_topic_score_codex":0.00037054962,"about_ca_topic_score_gemma":0.00007220797,"teacher_disagreement_score":0.7553312,"about_ca_system_score_codex":0.000119040225,"about_ca_system_score_gemma":0.000026150532,"threshold_uncertainty_score":0.9998761},"labels":[],"label_agreement":null},{"id":"W2938965000","doi":"10.29173/mocs25","title":"Detailed Analysis of Texasäó»s Manufactured Housing Growth and Competition","year":2016,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Harvard University; U.S. Department of Housing and Urban Development","keywords":"License; Competition (biology); Product (mathematics); Business; Production (economics); Supply and demand; Industrial organization; Marketing; Economics; Computer science","score_opus":0.010757113541305032,"score_gpt":0.17898864751147303,"score_spread":0.168231533970168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2938965000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.987653,0.00023470815,0.0062590404,0.0003170401,0.00017697817,0.00012845205,0.00006828593,0.00004956927,0.0051129204],"genre_scores_gemma":[0.99648154,0.0010867094,0.002195471,0.000050786806,0.00006425857,0.000005323637,0.00001183893,0.000021537062,0.000082520986],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99863243,0.0000062116624,0.00057717576,0.0004981907,0.00004288665,0.00024309098],"domain_scores_gemma":[0.99922377,0.000033759632,0.00044482635,0.00011567841,0.00007543857,0.00010654411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003104936,0.0001991361,0.0006033562,0.00072477525,0.00015494396,0.00011574052,0.00008806576,0.00015032395,0.0001421054],"category_scores_gemma":[0.000058386337,0.00019101516,0.0001347163,0.00036354444,0.00026233893,0.0005191712,0.00006143151,0.00008181533,0.000009710374],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051764782,0.000020957474,0.9314326,0.000084145984,0.00035266447,6.722563e-7,0.00014133626,0.0000056984463,0.0016621293,0.0556961,0.000026238326,0.010525713],"study_design_scores_gemma":[0.0036461272,0.00019180425,0.9116455,0.00019460125,0.00088743295,0.000031789245,0.00068779814,0.009180617,0.012137979,0.05275705,0.0072567593,0.0013825555],"about_ca_topic_score_codex":0.00004947725,"about_ca_topic_score_gemma":0.00005779764,"teacher_disagreement_score":0.019787095,"about_ca_system_score_codex":0.00005453507,"about_ca_system_score_gemma":0.000007969112,"threshold_uncertainty_score":0.7789372},"labels":[],"label_agreement":null},{"id":"W2939107364","doi":"10.1016/j.jue.2021.103405","title":"Not in my neighbour’s back yard? Laneway homes and neighbours’ property values","year":2021,"lang":"en","type":"article","venue":"Journal of Urban Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; National University of Singapore","keywords":"Zoning; Renting; Neighbourhood (mathematics); Externality; Spillover effect; Yard; Single family; Exploit; Business; Residential property; Property value; Property (philosophy); Demographic economics; Economic geography; Economics; Microeconomics; Finance; Computer science; Political science; Law; Mathematics","score_opus":0.02783945539509908,"score_gpt":0.20362251267992232,"score_spread":0.17578305728482324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2939107364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93079907,0.002273706,0.000098465585,0.002330487,0.0011825666,0.000098847406,0.000050530925,0.0000092167065,0.063157134],"genre_scores_gemma":[0.9822994,0.009794812,0.0024238024,0.0008442665,0.00067686295,0.0000021226645,0.000007841937,0.00006373481,0.0038871937],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977108,0.000036432688,0.001448986,0.0003758277,0.000025449175,0.00040248132],"domain_scores_gemma":[0.9983443,0.00012144107,0.00096319563,0.00031110513,0.00005800462,0.00020194793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001036026,0.00024080678,0.0009450294,0.00036071605,0.000070338356,0.00027697074,0.00027865544,0.00017770712,0.00064897677],"category_scores_gemma":[0.00016361929,0.00023775171,0.00021767699,0.000117252675,0.00009189817,0.00070915447,0.000110445035,0.0003622546,0.00019051315],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030254063,0.00039287307,0.93170655,0.00014861676,0.00032577378,0.00014167505,0.0020473804,0.001520032,0.00007577274,0.03349701,0.013177528,0.016664227],"study_design_scores_gemma":[0.008519453,0.0005647018,0.26460183,0.0002653946,0.00007042002,0.0010037888,0.0014037843,0.015208704,0.001031605,0.079593845,0.6257249,0.002011563],"about_ca_topic_score_codex":0.000072180716,"about_ca_topic_score_gemma":0.00013433985,"teacher_disagreement_score":0.6671048,"about_ca_system_score_codex":0.00030911903,"about_ca_system_score_gemma":0.00016020302,"threshold_uncertainty_score":0.9695233},"labels":[],"label_agreement":null},{"id":"W2939271209","doi":"10.1080/10835547.2018.12091907","title":"The Impact of Flood Zones on Residential Property Prices: The Case of Canada","year":2018,"lang":"en","type":"article","venue":"Journal of Sustainable Real Estate","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Object Research Systems (Canada); Université Laval","funders":"","keywords":"Flood myth; Sample (material); Property value; Business; Variety (cybernetics); Value (mathematics); Residential property; Property (philosophy); Natural resource economics; Econometrics; Actuarial science; Geography; Economics; Finance; Economic geography; Statistics; Mathematics; Real estate","score_opus":0.013605133181791719,"score_gpt":0.2295451574839778,"score_spread":0.2159400243021861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2939271209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93046635,0.00008545955,0.000032604705,0.00038269506,0.0002289123,0.0001412228,0.00001834727,0.0000019924182,0.0686424],"genre_scores_gemma":[0.99625033,0.0021046486,0.00004716895,0.000010896092,0.0001917609,0.0000014357393,3.1835344e-7,0.000016738672,0.0013767126],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985253,0.00003648104,0.00091656175,0.000109155204,0.000049737173,0.00036271606],"domain_scores_gemma":[0.9976247,0.00018962446,0.0014550055,0.00027498923,0.00037173613,0.0000839454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018371041,0.0001185378,0.00037036542,0.00012647876,0.00030027432,0.00007450199,0.00031850472,0.00004213693,0.00004299812],"category_scores_gemma":[0.00032181063,0.000060582912,0.000166052,0.00020266681,0.00017631528,0.0002256431,0.000057928515,0.00016606314,0.0000021811065],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.023042327,0.002920507,0.09862703,0.0026517967,0.0084053045,0.022382237,0.068989955,0.06734959,0.00023363462,0.27381623,0.19034287,0.24123852],"study_design_scores_gemma":[0.015850682,0.025162717,0.1825218,0.000726102,0.00053728407,0.009987644,0.19600603,0.05033526,0.0034358194,0.20103782,0.31097063,0.003428211],"about_ca_topic_score_codex":0.6136245,"about_ca_topic_score_gemma":0.11474739,"teacher_disagreement_score":0.49887714,"about_ca_system_score_codex":0.00043719445,"about_ca_system_score_gemma":0.00097563554,"threshold_uncertainty_score":0.90140617},"labels":[],"label_agreement":null},{"id":"W2939895879","doi":"10.5539/ijef.v11n5p30","title":"The Dynamic Relationship Between Stock and Real Estate Prices in Kuwait","year":2019,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Apartment; Real estate; Cointegration; Stock (firearms); Error correction model; Stock market; Johansen test; Real estate investment trust; Economics; Financial economics; Stock market index; Vector autoregression; Business; Econometrics; Finance; Geography; Engineering","score_opus":0.024744892512756283,"score_gpt":0.23767093975360096,"score_spread":0.21292604724084468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2939895879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98674464,0.00042163982,0.000052624866,0.0015056292,0.000660157,0.000071676004,0.000021410366,0.000001919134,0.010520313],"genre_scores_gemma":[0.95319426,0.046010416,0.00047026173,0.000032498276,0.00008713776,0.000001620213,0.0000025879735,0.000011815264,0.00018941813],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989182,0.000007285194,0.0007404731,0.00017257813,0.000016902535,0.00014456712],"domain_scores_gemma":[0.9987705,0.00032857663,0.00073596335,0.00010618276,0.00002717625,0.000031654563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081132364,0.000095864765,0.00026138188,0.0001839843,0.000059485137,0.0001767,0.00026149754,0.00006251757,0.0000055600435],"category_scores_gemma":[0.000067642744,0.00009478413,0.000052895397,0.000041421714,0.00006152137,0.000408407,0.00006512736,0.00017648669,0.000021312473],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059580056,0.0000133374615,0.8595663,0.000004173334,0.000038287948,0.000002816897,0.00030348054,0.00082353735,5.8030025e-7,0.11230675,0.000016117743,0.026865056],"study_design_scores_gemma":[0.00078090845,0.000061571416,0.86902124,0.000023131348,0.0000030085394,0.000022818722,0.00006995317,0.02308046,0.0000011280889,0.07675048,0.030039858,0.00014545718],"about_ca_topic_score_codex":0.0001272265,"about_ca_topic_score_gemma":0.00021478499,"teacher_disagreement_score":0.045588773,"about_ca_system_score_codex":0.00012806877,"about_ca_system_score_gemma":0.000032659904,"threshold_uncertainty_score":0.38651848},"labels":[],"label_agreement":null},{"id":"W2940095311","doi":"10.2139/ssrn.3351417","title":"Testing for Information Asymmetry in the Mortgage Servicing Market","year":2019,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Endogeneity; Information asymmetry; Econometrics; Robustness (evolution); Parametric statistics; Economics; Kernel density estimation; Residual; Instrumental variable; Asymmetry; Actuarial science; Finance; Computer science; Statistics","score_opus":0.02198754835917801,"score_gpt":0.2199583822832717,"score_spread":0.19797083392409368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940095311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55654544,0.0041949823,0.05809755,0.0024412535,0.0038965512,0.0021100459,0.0001754286,0.00007754698,0.3724612],"genre_scores_gemma":[0.99626803,0.0016704854,0.0006997514,0.0004856851,0.0004816113,0.00003906711,0.000045994908,0.00004057108,0.00026877952],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968106,0.00004709,0.0011106272,0.0002784888,0.00005018877,0.0017029761],"domain_scores_gemma":[0.9980528,0.00028924545,0.0011623121,0.0004015156,0.000057677564,0.000036449106],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.010146265,0.00025982363,0.00050823827,0.0005029219,0.00018295554,0.0004589494,0.0007710863,0.00028542647,0.000023389126],"category_scores_gemma":[0.00046836963,0.00025727198,0.00022477264,0.00020700246,0.000017100181,0.00051989715,0.00016887735,0.003161026,0.00009231549],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027416294,0.00017566263,0.32350317,0.0008953182,0.00048707818,0.0000035860837,0.0035848618,0.020535637,0.0000025652232,0.50020385,0.0028435464,0.14749058],"study_design_scores_gemma":[0.0011468786,0.00016741247,0.019333407,0.00013952902,0.000027104717,0.00010652148,0.0020895896,0.06313754,0.0000010584065,0.89638066,0.016857477,0.000612853],"about_ca_topic_score_codex":0.00034593843,"about_ca_topic_score_gemma":0.00043416859,"teacher_disagreement_score":0.43972263,"about_ca_system_score_codex":0.0015069159,"about_ca_system_score_gemma":0.00085243763,"threshold_uncertainty_score":0.99998796},"labels":[],"label_agreement":null},{"id":"W2940312232","doi":"10.31580/apss.v4i1.528","title":"ASSESSING THE FORECASTING PERFORMANCE OF ARIMA AND ARIMAX MODELS OF RESIDENTIAL PRICES IN ABUJA NIGERIA","year":2019,"lang":"en","type":"article","venue":"Asia Proceedings of Social Sciences","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Autoregressive integrated moving average; Bedroom; Quarter (Canadian coin); Sample (material); Econometrics; Box–Jenkins; Economics; Statistics; Geography; Mathematics; Time series","score_opus":0.052882783247078666,"score_gpt":0.2554080539631208,"score_spread":0.2025252707160421,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940312232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83566105,0.000060672406,0.000005745143,0.000112903515,0.00007526987,0.00009235161,0.0000019473268,0.000003266445,0.1639868],"genre_scores_gemma":[0.99881685,0.000068208275,0.0010436436,0.000008332633,0.000035280125,0.0000021396768,1.8757108e-7,0.0000052540154,0.00002010627],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990361,0.0000020840823,0.0005170411,0.00020371939,0.00005711316,0.00018394845],"domain_scores_gemma":[0.9990718,0.000054867796,0.00078395125,0.00003245778,0.000043733493,0.000013205138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018146074,0.00007403226,0.0003095698,0.00015267728,0.00014342341,0.00010270813,0.00026590112,0.00005871007,0.000013518648],"category_scores_gemma":[0.000064975386,0.00006796134,0.000042061383,0.00027221543,0.00036502644,0.0012735055,0.00008386779,0.00008201978,0.0000010298089],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017285825,0.000027830347,0.85220015,0.00019851771,0.000009817372,3.2736533e-8,0.005451615,0.00008635136,0.0008270638,0.13819584,0.000022975319,0.0029625008],"study_design_scores_gemma":[0.00076302147,0.0003193359,0.78359705,0.00024266257,0.000011878964,0.0000034553514,0.018995376,0.086883865,0.0042382185,0.10431444,0.00021196119,0.00041871858],"about_ca_topic_score_codex":0.00023476328,"about_ca_topic_score_gemma":0.000013139776,"teacher_disagreement_score":0.1639667,"about_ca_system_score_codex":0.000023785262,"about_ca_system_score_gemma":0.00003521432,"threshold_uncertainty_score":0.2771383},"labels":[],"label_agreement":null},{"id":"W2940661678","doi":"10.34989/san-2019-12","title":"Disentangling the Factors Driving Housing Resales","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Microdata (statistics); Economics; Business; Labour economics; Environmental health; Census","score_opus":0.0453236965184833,"score_gpt":0.24657438024365358,"score_spread":0.20125068372517027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940661678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.975791,0.00030551385,0.0029149405,0.00095206825,0.00034660715,0.0000484794,0.00002655648,0.0000453099,0.019569527],"genre_scores_gemma":[0.9987683,0.00014270603,0.0006709356,0.00005692023,0.00017006198,9.896296e-7,0.000011945696,0.000030156194,0.00014796942],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987714,0.00002202134,0.00044622185,0.00036483404,0.000035674628,0.00035979017],"domain_scores_gemma":[0.99893665,0.00044106564,0.00012825121,0.00036587438,0.000028211081,0.00009995655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031212324,0.00014956888,0.00033192593,0.000078819045,0.0002683771,0.00023845687,0.0001824577,0.00007813308,0.00040753232],"category_scores_gemma":[0.00078703975,0.0001334166,0.00019229237,0.00025210768,0.00012104704,0.00015418668,0.00012242529,0.00017516258,0.000115102026],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000046057135,0.000069335874,0.93482053,0.000012463164,0.000074751806,0.000017779435,0.00025700894,0.00082272175,0.0000148979625,0.063176244,0.000088512556,0.0006411378],"study_design_scores_gemma":[0.0008331817,0.0000885955,0.08844039,0.000098901175,0.00014100087,0.000018964281,0.0040828553,0.7470765,0.0011819891,0.12138673,0.035075963,0.0015749139],"about_ca_topic_score_codex":0.00006968646,"about_ca_topic_score_gemma":0.00016961765,"teacher_disagreement_score":0.8463802,"about_ca_system_score_codex":0.000105902924,"about_ca_system_score_gemma":0.000037191196,"threshold_uncertainty_score":0.5440571},"labels":[],"label_agreement":null},{"id":"W2941114637","doi":"10.34989/san-2018-8","title":"Personal Experiences and House Price Expectations: Evidence from the Canadian Survey of Consumer Expectations","year":2021,"lang":"en","type":"article","venue":"Bank of Canada Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.14052261266641597,"score_gpt":0.30221575879066814,"score_spread":0.16169314612425217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2941114637","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98285246,0.010393281,0.000014872261,0.0011991978,0.0001342846,0.00011150608,0.00027462954,0.0000032256892,0.005016534],"genre_scores_gemma":[0.99902755,0.0005393285,0.00015949344,0.000038972274,0.000022573968,0.000031147796,0.000012590145,0.000012274616,0.00015604935],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987964,0.0001400104,0.00037717161,0.00026308902,0.00012545152,0.00029786778],"domain_scores_gemma":[0.99723864,0.0018976785,0.00012260073,0.00025806561,0.0003349713,0.00014806783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010553446,0.00007153452,0.00022006134,0.00012167897,0.0003465924,0.00008265914,0.00023732558,0.000047637157,0.0005131889],"category_scores_gemma":[0.002930886,0.00007424598,0.000025757048,0.0004192647,0.00028468636,0.00013859458,0.000052962547,0.00014695503,0.0000064891783],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005423205,0.000047553167,0.9012553,0.000045669316,0.00013757862,0.0000223092,0.0617274,0.000029191464,0.00006123981,0.0049661174,0.0300105,0.0016428847],"study_design_scores_gemma":[0.00038824257,0.000045197525,0.9128285,0.00009500281,0.0000055302116,0.0000047924473,0.074391425,0.0029662598,0.00091479474,0.0013806671,0.006669643,0.00030993478],"about_ca_topic_score_codex":0.9914946,"about_ca_topic_score_gemma":0.9989173,"teacher_disagreement_score":0.023340859,"about_ca_system_score_codex":0.00026362174,"about_ca_system_score_gemma":0.0037927155,"threshold_uncertainty_score":0.67281145},"labels":[],"label_agreement":null},{"id":"W2942295536","doi":"10.1371/journal.pone.0215954","title":"Calibration and evaluation of Quigley’s hybrid housing price model in Microsoft Excel","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Econometrics; Sample (material); Economics; Calibration; Computer science; Statistics; Mathematics","score_opus":0.0809149389287942,"score_gpt":0.21915058014480313,"score_spread":0.13823564121600893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2942295536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98501027,0.0003473433,0.0008505803,0.00008629176,0.00004336938,0.00029215892,0.000020554095,0.000011980418,0.01333748],"genre_scores_gemma":[0.99767774,0.00024630676,0.0018738261,0.000046263027,0.000022818314,0.000008982795,0.000013135679,0.000017946428,0.0000929948],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991609,0.000015137069,0.00040535053,0.00023683999,0.00004364192,0.00013814335],"domain_scores_gemma":[0.9995092,0.00003055611,0.00022327501,0.00017661633,0.00003314407,0.00002721329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009271553,0.00007837636,0.00028388298,0.00016883518,0.000021237367,0.00003453308,0.00006410333,0.00005084934,0.00009744364],"category_scores_gemma":[0.00006880811,0.000106687716,0.00002353654,0.000079430916,0.000019302837,0.0003023185,0.00003424866,0.000067163106,0.000033706718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000106418,0.0014901649,0.9020234,0.0006707155,0.00015352562,5.5451574e-7,0.0022264323,0.057816338,0.02236763,0.009358936,0.00007255234,0.0037133337],"study_design_scores_gemma":[0.00073516835,0.000021926393,0.007798405,0.000056183897,0.000013851588,2.2807328e-7,0.000018460365,0.97672325,0.0026158066,0.011873798,0.0000099810795,0.00013293736],"about_ca_topic_score_codex":0.000087984656,"about_ca_topic_score_gemma":0.000032599728,"teacher_disagreement_score":0.9189069,"about_ca_system_score_codex":0.00010657027,"about_ca_system_score_gemma":0.000032313423,"threshold_uncertainty_score":0.43505988},"labels":[],"label_agreement":null},{"id":"W2943327685","doi":"10.1108/sbm-04-2018-0034","title":"Title sponsorship of cause-related sport events","year":2019,"lang":"en","type":"article","venue":"Sport Business and Management An International Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agricultural Research Institute of Ontario; University of Ottawa; Queen's University; University of Guelph; University of British Columbia; University of Victoria","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Public Health Agency; Public Health Agency of Canada","keywords":"Originality; Context (archaeology); Value (mathematics); Public relations; Event (particle physics); Revenue; Advertising; Profit (economics); Business; Marketing; Political science; Accounting; Law; History; Economics","score_opus":0.019244041175654043,"score_gpt":0.2249989565341769,"score_spread":0.20575491535852286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943327685","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7855405,0.00004180194,0.000064650354,0.00009843296,0.0013885672,0.000047485453,0.0000050732583,0.0000069381836,0.21280655],"genre_scores_gemma":[0.9906984,0.0014043204,0.00019986056,0.00004564934,0.00009235617,8.076594e-7,0.000019097613,0.000010739561,0.0075287893],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994856,0.0000014278527,0.0002842422,0.00011172117,0.000036999256,0.00007997236],"domain_scores_gemma":[0.99963236,0.000001978501,0.00020784674,0.000086624015,0.00003976686,0.000031448995],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003489108,0.000057773734,0.00013054104,0.00019224224,0.00001935281,0.00003471315,0.00014796274,0.00002973569,0.0027412248],"category_scores_gemma":[0.000002906233,0.00006290225,0.00003425606,0.00005740172,0.000012270519,0.0002200461,0.000038426253,0.000051183757,0.00034691955],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062690284,0.00006599343,0.7369869,0.000024975116,0.00015916851,0.000028632425,0.00003819302,0.000057348614,0.0000014023896,0.25853887,0.0004960157,0.0035398174],"study_design_scores_gemma":[0.0004223595,0.000011801839,0.81415,0.000029991945,0.000008565503,0.000026736296,0.000021883554,0.0003276681,0.0000019376748,0.0089120185,0.17597507,0.000111978334],"about_ca_topic_score_codex":0.000019211942,"about_ca_topic_score_gemma":0.0000021833987,"teacher_disagreement_score":0.24962686,"about_ca_system_score_codex":0.000027660537,"about_ca_system_score_gemma":0.0000068187537,"threshold_uncertainty_score":0.9981704},"labels":[],"label_agreement":null},{"id":"W2943340810","doi":"10.26686/wgtn.17135018","title":"Essays on modern economic issues in international trade, exchange rates and housing","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Victoria University; Victoria University of Wellington","keywords":"Endogeneity; Economics; Aggregate data; Data quality; Bilateral trade; Quality (philosophy); Index (typography); Ranking (information retrieval); Consumption (sociology); International economics; International trade; Econometrics; Economy; Geography; China","score_opus":0.04125301805160974,"score_gpt":0.253340495250478,"score_spread":0.21208747719886828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943340810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5714981,0.0016423643,0.0004547275,0.0038550985,0.003599512,0.00042593852,0.00028696406,0.00007686308,0.4181604],"genre_scores_gemma":[0.9888221,0.00852689,0.000567619,0.00034818554,0.00040553644,0.00004016306,0.000086221,0.0000717619,0.0011315414],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99798834,0.000017151515,0.00075667404,0.0008951144,0.000022809592,0.0003199137],"domain_scores_gemma":[0.9990241,0.00007872557,0.00038695068,0.00044006464,0.000003628354,0.0000665659],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006145035,0.00033928896,0.0007531709,0.0005942405,0.0000402662,0.00035309972,0.00036848473,0.00037528833,0.0008361648],"category_scores_gemma":[0.000026068306,0.00043212573,0.00012210813,0.0000307576,0.00004822011,0.00022365185,0.00042560315,0.0004376263,0.00038556175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036168302,0.00050525833,0.5941728,0.0009035752,0.00055852014,0.000030629384,0.0062667998,0.08239533,0.000008473144,0.22522911,0.0149728,0.074595034],"study_design_scores_gemma":[0.0017002723,0.00007371507,0.026567006,0.00024582335,0.0000106548205,0.0000041989947,0.00016073884,0.69771063,0.000048909613,0.20828861,0.06364897,0.0015404413],"about_ca_topic_score_codex":0.0010060953,"about_ca_topic_score_gemma":0.00051785115,"teacher_disagreement_score":0.6153153,"about_ca_system_score_codex":0.00045335584,"about_ca_system_score_gemma":0.000035362984,"threshold_uncertainty_score":0.9998131},"labels":[],"label_agreement":null},{"id":"W2943366925","doi":"","title":"The effects of macroeconomic variables towards housing price in Malaysia / Nur Farahin Abdul Rahman","year":2017,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Multicollinearity; Econometrics; Inflation (cosmology); Unit root test; Normality test; Economics; Variables; Test (biology); Variance inflation factor; Gross domestic product; Price index; Quarter (Canadian coin); Statistics; Population; Regression analysis; Mathematics; Statistical hypothesis testing; Cointegration; Demography; Macroeconomics; Geography","score_opus":0.013101056248833183,"score_gpt":0.21467902332927152,"score_spread":0.20157796708043835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943366925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76672685,0.00035538553,0.0005098462,0.000429212,0.0010798792,0.000252577,0.000009826296,0.000024845363,0.23061156],"genre_scores_gemma":[0.99624836,0.0013454488,0.00082261994,0.00008897665,0.000112718386,0.00002113652,0.000002246123,0.000038959395,0.0013195098],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982591,0.00002081057,0.00081477413,0.00041339963,0.000021796226,0.0004701168],"domain_scores_gemma":[0.99793303,0.00022095437,0.00078232377,0.0009753796,0.000017520213,0.00007079872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010500955,0.0002059305,0.00055138336,0.00016530092,0.0004171295,0.0004083851,0.00084843027,0.00013775965,0.00013239417],"category_scores_gemma":[0.000429508,0.00019864104,0.00013791166,0.00006300295,0.00017574811,0.00043872726,0.00022487156,0.00017554304,0.00018559983],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016918061,0.00024687208,0.49073794,0.00042569955,0.00020964084,0.000019641318,0.0009410344,0.00069750834,0.00031685043,0.44497484,0.0015756316,0.05968516],"study_design_scores_gemma":[0.0046647936,0.00022834416,0.70095265,0.0002397109,0.000030148585,0.000011669252,0.00027851318,0.057436563,0.003274514,0.15804936,0.07328707,0.0015466317],"about_ca_topic_score_codex":0.0018759129,"about_ca_topic_score_gemma":0.0004662851,"teacher_disagreement_score":0.28692546,"about_ca_system_score_codex":0.00018389407,"about_ca_system_score_gemma":0.000046974237,"threshold_uncertainty_score":0.81003463},"labels":[],"label_agreement":null},{"id":"W2944569490","doi":"10.15353/cjo.78.461","title":"Negotiating the Operating Costs as Rent","year":2016,"lang":"en","type":"article","venue":"Canadian journal of optometry/CJO. Canadian journal of optometry","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Negotiation; Business; Economics; Political science","score_opus":0.0180632316992404,"score_gpt":0.2535565541986504,"score_spread":0.23549332249941002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944569490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9585025,0.005606856,0.0016078461,0.006301004,0.0051146643,0.0001836018,0.00018858827,0.000006323735,0.022488624],"genre_scores_gemma":[0.9953073,0.00064491277,0.0010993634,0.00077739614,0.0014280528,0.000002042092,0.0000024197966,0.00010756251,0.000630897],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99505085,0.00013642256,0.0028070498,0.00037178915,0.00021483345,0.0014190412],"domain_scores_gemma":[0.9917328,0.0005235269,0.002981775,0.0005394529,0.0007421469,0.0034803245],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004601854,0.0004735504,0.0012022431,0.0049763294,0.0008161331,0.0010498125,0.0017574343,0.00032502794,0.0022055772],"category_scores_gemma":[0.002521347,0.0003728589,0.0006072143,0.0017283532,0.00039213026,0.0013451754,0.000041972882,0.0010555598,0.0002967715],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002084771,0.000016771235,0.98336774,0.000020869717,0.00032438897,0.00040112145,0.00056575873,0.0005706804,0.000032264557,0.0006034853,0.009335479,0.004740576],"study_design_scores_gemma":[0.0039998097,0.0006889689,0.8626818,0.001182538,0.00015377518,0.005727244,0.0023841653,0.0006580864,0.00027387863,0.0002796646,0.12034973,0.0016203169],"about_ca_topic_score_codex":0.0077251396,"about_ca_topic_score_gemma":0.0020650378,"teacher_disagreement_score":0.120685935,"about_ca_system_score_codex":0.003060299,"about_ca_system_score_gemma":0.0040574702,"threshold_uncertainty_score":0.9999872},"labels":[],"label_agreement":null},{"id":"W2946522929","doi":"","title":"Record median house price for Brisbane LGA","year":2018,"lang":"en","type":"article","venue":"REIQ journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Project commissioning; House price; Publishing; Advertising; Agricultural economics; Geography; Business; Economics; Archaeology; Political science; Law","score_opus":0.04134788920668649,"score_gpt":0.23020890501515012,"score_spread":0.18886101580846362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946522929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66914415,0.0006914235,0.064278364,0.005059768,0.008824803,0.00043669136,0.00007508841,0.00017912552,0.25131056],"genre_scores_gemma":[0.96740544,0.002077072,0.019629123,0.00093388953,0.006601041,0.000013599143,0.0000047208264,0.00013300481,0.0032021035],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99863625,0.000011056901,0.00063755695,0.00025016774,0.000024130008,0.00044082486],"domain_scores_gemma":[0.9989435,0.00007465968,0.00047023437,0.00023286488,0.000068288515,0.00021042778],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011940174,0.00013273075,0.00033081806,0.00021527594,0.00029628747,0.00020911988,0.00027447692,0.000114821385,0.00089675776],"category_scores_gemma":[0.00027081484,0.00015195808,0.00016604747,0.00011471356,0.00006869191,0.0002943848,0.000034090277,0.00020600756,0.0011751576],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008201373,0.00043096003,0.15988365,0.00014634267,0.0005738357,0.000057460686,0.003595156,0.000055149747,0.00019890649,0.06666589,0.37336287,0.39420965],"study_design_scores_gemma":[0.0010033665,0.00028707573,0.0035366206,0.000022371985,0.000008906785,0.00012465537,0.000049895232,0.0030836698,0.000097674034,0.06216498,0.92929244,0.00032836807],"about_ca_topic_score_codex":0.000036745158,"about_ca_topic_score_gemma":0.00006153011,"teacher_disagreement_score":0.55592954,"about_ca_system_score_codex":0.00017271198,"about_ca_system_score_gemma":0.00005112824,"threshold_uncertainty_score":0.99960256},"labels":[],"label_agreement":null},{"id":"W2948160663","doi":"","title":"Le capital logement contribue-t-il aux inégalités ?","year":2015,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Economics; Environmental science","score_opus":0.05758727142264539,"score_gpt":0.2956546558734022,"score_spread":0.23806738445075679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948160663","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4600261,0.001932015,0.000026261838,0.004136663,0.0038099864,0.001359832,0.0011760136,0.00007191844,0.52746123],"genre_scores_gemma":[0.9046071,0.062676705,0.0011158371,0.000384431,0.0014888553,0.00053461286,0.0006242467,0.00037594585,0.028192235],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9888488,0.00047178628,0.0037286645,0.0031018807,0.00021382893,0.0036350454],"domain_scores_gemma":[0.99378586,0.0007687852,0.0013470342,0.002722437,0.00040904418,0.0009668475],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.012805927,0.0011131564,0.0028010644,0.001620465,0.00067132595,0.0009319178,0.002304383,0.0018450907,0.0009792008],"category_scores_gemma":[0.0016617358,0.001706339,0.00078704953,0.00041574042,0.0013781524,0.0006537888,0.0034762477,0.003684768,0.0014653321],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007728006,0.0023615041,0.11024433,0.0008718671,0.0012269133,0.00025240326,0.0038417561,0.0312675,0.000021799015,0.41716948,0.0041721184,0.42779753],"study_design_scores_gemma":[0.0040181056,0.0003563012,0.009474666,0.00035313578,0.00002597261,0.000033790737,0.0032324328,0.028809337,0.00004405673,0.075732976,0.87575996,0.0021592444],"about_ca_topic_score_codex":0.0046437383,"about_ca_topic_score_gemma":0.010656166,"teacher_disagreement_score":0.8715879,"about_ca_system_score_codex":0.006291253,"about_ca_system_score_gemma":0.0034823397,"threshold_uncertainty_score":0.999934},"labels":[],"label_agreement":null},{"id":"W2949699126","doi":"10.2139/ssrn.2755273","title":"Why are Aggressive Mortgage Products Bad for the Housing Market?","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Underwriting; Collateralized mortgage obligation; Mortgage underwriting; Mortgage insurance; Business; Market share; Shared appreciation mortgage; Secondary mortgage market; Financial crisis; Monetary economics; Economics; Financial economics; Finance; Insurance policy","score_opus":0.01746188921365263,"score_gpt":0.20706892491299903,"score_spread":0.1896070356993464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949699126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5155753,0.042055015,0.28468838,0.09707608,0.007619835,0.002212892,0.00024008467,0.00024815128,0.05028425],"genre_scores_gemma":[0.9734643,0.020194221,0.00020486511,0.0006172201,0.0012821394,0.000027941305,0.0000013391576,0.00007389452,0.0041340436],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99716336,0.000027794853,0.00052575796,0.00036351584,0.000037980197,0.0018816027],"domain_scores_gemma":[0.9982506,0.00022791454,0.0010265617,0.0003533498,0.00007284731,0.00006870846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031526475,0.00019685461,0.00033000964,0.00014657508,0.0005102499,0.0001563282,0.00043467857,0.00009110506,0.00014950524],"category_scores_gemma":[0.0006876862,0.00013564117,0.00018810466,0.00013451932,0.00008129242,0.00036086817,0.000051900115,0.00056143914,0.00007155126],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008067886,0.00025213373,0.07826224,0.00006601657,0.00107326,0.000019640636,0.00048096196,0.000116648356,0.00017313304,0.5191014,0.07138808,0.32825974],"study_design_scores_gemma":[0.0019434084,0.000208735,0.0042715,0.000099406054,0.000045278422,0.00023342,0.0004993348,0.00078957016,0.000106596846,0.58444136,0.40676564,0.0005957564],"about_ca_topic_score_codex":0.000040257637,"about_ca_topic_score_gemma":0.00046706304,"teacher_disagreement_score":0.45788905,"about_ca_system_score_codex":0.00088928535,"about_ca_system_score_gemma":0.00034665258,"threshold_uncertainty_score":0.5531286},"labels":[],"label_agreement":null},{"id":"W2951372280","doi":"","title":"Factoral impact of house prices in Bulgaria: cross-spectral analysis","year":2018,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"House price; Economics; Quarter (Canadian coin); Investment (military); Macro; Index (typography); Econometrics; Salary; Geography","score_opus":0.044056678805125524,"score_gpt":0.3330032704142253,"score_spread":0.28894659160909975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951372280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87965816,0.000061500854,0.000017491457,0.000035505404,0.00017265885,0.00021885654,0.00008466969,0.000028813904,0.11972233],"genre_scores_gemma":[0.9974399,0.0014914266,0.0005014991,0.000015916925,0.00016864536,0.000021907965,0.000014010964,0.00006185643,0.00028482516],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967333,0.00005024779,0.0013470766,0.00081040093,0.000056009074,0.0010029724],"domain_scores_gemma":[0.9982472,0.00026889847,0.0004236048,0.0008064277,0.000070512564,0.00018336062],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002651691,0.0002589254,0.0009875147,0.0021422338,0.00011789877,0.00019343694,0.0006324481,0.00027421565,0.0009425755],"category_scores_gemma":[0.0003700634,0.00030351436,0.00045558927,0.0010198806,0.0005555275,0.00044503846,0.00020063351,0.0004993546,0.00011685967],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017755828,0.00019190497,0.98547894,0.000016221233,0.00029491808,0.0000065221916,0.0006007852,0.004919161,0.000028919087,0.002297591,0.000015150483,0.005972323],"study_design_scores_gemma":[0.0009767372,0.00028598914,0.9678636,0.000012770793,0.000008892244,0.0000020498633,0.000112237765,0.025392724,0.000091623406,0.0034503601,0.0014298481,0.00037315648],"about_ca_topic_score_codex":0.0023219604,"about_ca_topic_score_gemma":0.0045082765,"teacher_disagreement_score":0.1194375,"about_ca_system_score_codex":0.0013052183,"about_ca_system_score_gemma":0.00018120238,"threshold_uncertainty_score":0.9999707},"labels":[],"label_agreement":null},{"id":"W2951489114","doi":"10.22215/etd/2018-12964","title":"Three Essays in Empirical Financial Economics","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Ottawa","keywords":"Leverage (statistics); Collateral; Capital structure; Microdata (statistics); Real estate; Debt; Monetary economics; Agency cost; Economics; Valuation (finance); Business; Shareholder value; Financial economics; Finance; Shareholder; Corporate governance; Census","score_opus":0.03888727090537366,"score_gpt":0.25135340930577665,"score_spread":0.212466138400403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951489114","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40487096,0.00017957315,0.00019024003,0.000108796565,0.0025088834,0.00019458792,0.00005890304,0.00004453267,0.59184355],"genre_scores_gemma":[0.92770123,0.0049340827,0.008397478,0.0020007743,0.004990593,0.00029238322,0.0032710903,0.0006559941,0.047756393],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971456,0.000007045598,0.0013523316,0.0009151532,0.000019988682,0.00055987015],"domain_scores_gemma":[0.99867904,0.000048613576,0.0005793734,0.00054727425,0.000029953184,0.00011571508],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006839579,0.00041352154,0.0010080829,0.0006341209,0.00009756649,0.0001524365,0.0004722381,0.00086593593,0.002874607],"category_scores_gemma":[0.00017003216,0.0005473978,0.00025931685,0.00020274689,0.000051928895,0.00024309113,0.00005360044,0.0004370669,0.003902011],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060857605,0.0005505151,0.24877842,0.00034817721,0.00013966371,0.000026474954,0.002526163,0.00007833283,0.0000014001894,0.6090495,0.08975346,0.048139308],"study_design_scores_gemma":[0.0011613113,0.00011729888,0.08074861,0.00006969664,0.000013713215,0.0000032209398,0.00014164989,0.0056879516,0.000029198576,0.57697123,0.33352593,0.0015302225],"about_ca_topic_score_codex":0.00056814693,"about_ca_topic_score_gemma":0.038276743,"teacher_disagreement_score":0.5440871,"about_ca_system_score_codex":0.00038195006,"about_ca_system_score_gemma":0.00018856472,"threshold_uncertainty_score":0.99969774},"labels":[],"label_agreement":null},{"id":"W2952017301","doi":"10.2139/ssrn.2840401","title":"The Consequences of REIT Index Membership for Return Patterns","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Real estate investment trust; Index (typography); Business; Finance; Computer science; Real estate","score_opus":0.02387931565186098,"score_gpt":0.22137575695927433,"score_spread":0.19749644130741334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952017301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9079697,0.00407837,0.048959948,0.012928614,0.0014209973,0.00036574938,0.00008988622,0.000031402404,0.024155295],"genre_scores_gemma":[0.98678327,0.011009682,0.000030652183,0.00004865144,0.00021899764,0.000007950377,7.515946e-7,0.000019892354,0.0018801396],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998015,0.000021246953,0.0005709929,0.00017245363,0.000027572882,0.0011927241],"domain_scores_gemma":[0.99887645,0.00026785908,0.0005703245,0.0001979112,0.000037986956,0.000049436756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033389234,0.0001059,0.00024083914,0.00008490386,0.00021652735,0.000057623074,0.0003535274,0.000077356744,0.00008462412],"category_scores_gemma":[0.00021847936,0.00007081091,0.0001649951,0.000049328613,0.00012684504,0.00016634322,0.000022300857,0.00032521627,0.000027125716],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000118454285,0.000015191848,0.13866077,0.0000080630425,0.00014638247,3.26273e-7,0.0000785488,0.000003182285,0.0000671513,0.8356983,0.00017895967,0.025024652],"study_design_scores_gemma":[0.00068344275,0.00015594634,0.001392382,0.000019775449,0.0000067617866,0.000046407775,0.0003292792,0.000080049176,0.00022883875,0.9807356,0.01617814,0.00014339467],"about_ca_topic_score_codex":0.000069133195,"about_ca_topic_score_gemma":0.0009287918,"teacher_disagreement_score":0.14503726,"about_ca_system_score_codex":0.00044608235,"about_ca_system_score_gemma":0.00037088513,"threshold_uncertainty_score":0.28875852},"labels":[],"label_agreement":null},{"id":"W2952566745","doi":"10.2139/ssrn.4172006","title":"The Housing Boom and Selection into Entrepreneurship","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Boom; Entrepreneurship; Selection (genetic algorithm); Business; Environmental science; Computer science; Finance; Artificial intelligence; Environmental engineering","score_opus":0.010831183934793247,"score_gpt":0.1926648382700891,"score_spread":0.18183365433529586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952566745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9780318,0.008420162,0.0023601896,0.0024783597,0.0006266886,0.00010080006,0.000002578172,0.000035555946,0.007943836],"genre_scores_gemma":[0.9914506,0.0072339727,0.0000408461,0.00010792502,0.0002092814,0.000007982442,0.0000011105992,0.00002385398,0.0009243933],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982846,0.00004875342,0.00033791317,0.0002109858,0.00003310133,0.0010846402],"domain_scores_gemma":[0.99951607,0.00006105362,0.00026658215,0.000095854164,0.000010972136,0.00004946016],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0029752308,0.00009811112,0.00014913453,0.00011363634,0.0017310074,0.00020123627,0.00020091096,0.000029581073,0.00007072217],"category_scores_gemma":[0.00005708707,0.000100667574,0.000071006565,0.0001401292,0.00003869892,0.00015481973,0.00009172419,0.0011464042,0.000023667712],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010362854,0.000043801192,0.11889547,0.0000039828406,0.00015875649,0.000001623677,0.0006357267,0.00066343765,0.000035951132,0.7912679,0.00031549248,0.087874286],"study_design_scores_gemma":[0.00038918568,0.00017098848,0.0017421672,0.0000014598908,0.000008908326,0.0002768184,0.0010395816,0.0021660465,0.0000085133015,0.91291344,0.08110161,0.00018130912],"about_ca_topic_score_codex":0.000164226,"about_ca_topic_score_gemma":0.0007764848,"teacher_disagreement_score":0.12164557,"about_ca_system_score_codex":0.0011770439,"about_ca_system_score_gemma":0.00024092308,"threshold_uncertainty_score":0.9995686},"labels":[],"label_agreement":null},{"id":"W2952713720","doi":"10.22158/uspa.v2n3p170","title":"Insurance and Non-Conforming Land Use (Note 1)","year":2019,"lang":"en","type":"article","venue":"Urban Studies and Public Administration","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Externality; Bureaucracy; Business; Value (mathematics); Public economics; Environmental planning; Environmental economics; Natural resource economics; Microeconomics; Economics; Computer science; Geography; Law; Political science","score_opus":0.03763027832554536,"score_gpt":0.23949166928668322,"score_spread":0.20186139096113787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952713720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9825121,0.0014796578,0.00014839137,0.0006464143,0.00031587243,0.00014711038,0.000027137763,0.000020163594,0.014703138],"genre_scores_gemma":[0.9966259,0.0018872619,0.00028878858,0.00016230298,0.000092189024,0.000007736535,0.000011531838,0.000010803334,0.0009135099],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992055,0.0000048090155,0.00031778353,0.0002656085,0.000016848247,0.0001894064],"domain_scores_gemma":[0.9995234,0.00007564382,0.00017472247,0.00013545259,0.000027030246,0.00006374271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025815936,0.000117417156,0.00027846027,0.0000796333,0.00013668693,0.00023076434,0.000044787088,0.00006410769,0.000021247677],"category_scores_gemma":[0.00008571672,0.00012505191,0.000026618334,0.000066210545,0.00006083869,0.00068014965,0.000047876892,0.00007130288,0.000039167742],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017522527,0.000011681287,0.9768323,0.00006127383,0.000036979844,8.789631e-7,0.0005040153,8.401981e-7,0.0000024252718,0.01875562,0.0005322829,0.0032442184],"study_design_scores_gemma":[0.0015540962,0.00039082498,0.6966153,0.000054783817,0.000011681492,0.000022666394,0.0010331238,0.0039953003,0.000020801263,0.0076653147,0.28793913,0.0006969661],"about_ca_topic_score_codex":0.000055404023,"about_ca_topic_score_gemma":0.0001551602,"teacher_disagreement_score":0.28740686,"about_ca_system_score_codex":0.000028656945,"about_ca_system_score_gemma":0.00001880061,"threshold_uncertainty_score":0.5099469},"labels":[],"label_agreement":null},{"id":"W2953420617","doi":"10.1177/0361198119857954","title":"Local Influences on Zonal Rents in Alberta: Implications for Integrated Modeling","year":2019,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic rent; Estimation; Investment (military); Revenue; Land use; Transport engineering; Business; Geography; Agricultural economics; Environmental science; Economics; Civil engineering; Engineering; Finance; Microeconomics","score_opus":0.12009228223310839,"score_gpt":0.35685395091755706,"score_spread":0.23676166868444867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953420617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9847035,0.00007035822,0.007902055,0.004300622,0.0004651093,0.0009611248,0.00012874781,0.0000089893165,0.00145952],"genre_scores_gemma":[0.9978745,0.00052124495,0.00078949344,0.00006698465,0.00006848515,0.00009296327,0.000033928372,0.00004263041,0.00050977024],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966468,0.00018758644,0.0016735313,0.0004450021,0.00035627163,0.0006907708],"domain_scores_gemma":[0.99715394,0.00093930465,0.00043524674,0.00038659066,0.0008956071,0.00018933041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004172786,0.00018445948,0.0004977424,0.0012499678,0.00026652063,0.00011751066,0.000825479,0.00018456126,0.00022876689],"category_scores_gemma":[0.00021149714,0.00016377223,0.00031579187,0.0012119745,0.0002114441,0.00055610755,0.000005097582,0.0012779932,0.000099935314],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015159759,0.0002760832,0.8647714,0.00014112506,0.00008446736,0.0000033944073,0.0012842516,0.05883482,0.0001330567,0.06672114,0.00080811407,0.00542617],"study_design_scores_gemma":[0.0025566935,0.00065927557,0.8744374,0.00035126833,0.000010429037,2.4560447e-7,0.0009870273,0.02370558,0.00009356599,0.082673706,0.014237379,0.00028742108],"about_ca_topic_score_codex":0.01843464,"about_ca_topic_score_gemma":0.06350864,"teacher_disagreement_score":0.045074,"about_ca_system_score_codex":0.00041705358,"about_ca_system_score_gemma":0.00032088257,"threshold_uncertainty_score":0.98810166},"labels":[],"label_agreement":null},{"id":"W2953502045","doi":"10.5430/afr.v8n3p27","title":"REIT-Specific and Macroeconomic Determinants of REIT Returns: Evidence from Singapore","year":2019,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Seneca Polytechnic","funders":"","keywords":"Real estate investment trust; Economics; Equity (law); Monetary economics; Dividend yield; Real estate; Earnings; Exchange rate; Debt; Dividend; Financial economics; Finance; Dividend policy","score_opus":0.0885073418436059,"score_gpt":0.30180449796367514,"score_spread":0.21329715612006925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953502045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98169523,0.009209458,0.000012250691,0.00018884854,0.0002614804,0.0002319802,0.000043318043,0.000016575375,0.008340857],"genre_scores_gemma":[0.9698228,0.028601188,0.0007594918,0.000026285767,0.00013498277,0.000010500448,0.0000045152738,0.000034955327,0.00060527184],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978258,0.000036551177,0.0007395215,0.0007782702,0.00006598479,0.0005538643],"domain_scores_gemma":[0.9983483,0.00056514447,0.00038971775,0.00057333655,0.00006985403,0.000053665844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028721772,0.0001781691,0.0005964618,0.00029948124,0.00019879347,0.00022392797,0.00033510098,0.0001814991,0.000161822],"category_scores_gemma":[0.00026074724,0.00021056786,0.000060983275,0.00020221042,0.00027238653,0.00067282014,0.00029603348,0.00040261884,0.00035595824],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095181014,0.000024678915,0.95684415,0.00012901807,0.00001556333,0.000005598799,0.00074212585,0.000011268313,0.00054532307,0.005329325,0.0004311582,0.035826635],"study_design_scores_gemma":[0.0014234851,0.00029512364,0.8603487,0.0012122554,0.000008153749,0.000023570165,0.0007201821,0.019747136,0.0014844612,0.06863209,0.045151703,0.0009531593],"about_ca_topic_score_codex":0.0011023047,"about_ca_topic_score_gemma":0.000079177116,"teacher_disagreement_score":0.09649544,"about_ca_system_score_codex":0.00008541521,"about_ca_system_score_gemma":0.00004248892,"threshold_uncertainty_score":0.85867083},"labels":[],"label_agreement":null},{"id":"W2953568519","doi":"10.1088/1755-1315/286/1/012032","title":"An Investigation of Condominium Property Value Uplift around Light Rail Transit Stations Using a Hedonic Pricing Model","year":2019,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hedonic pricing; Transit (satellite); Light rail transit; Urban rail transit; Kuala lumpur; Transport engineering; Value (mathematics); Rail transit; Quarter (Canadian coin); Light rail; Transit-oriented development; Business; Advertising; Econometrics; Geography; Economics; Engineering; Public transport; Mathematics; Statistics; Marketing","score_opus":0.02771887263048672,"score_gpt":0.19744622743102222,"score_spread":0.1697273548005355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953568519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934533,0.000045900993,0.0019745973,0.00013738424,0.0001040363,0.00024227834,0.000051223058,0.00001318604,0.0039780773],"genre_scores_gemma":[0.99644184,0.00015154762,0.00306163,0.00007917252,0.00001257994,0.0000042403176,0.000011761114,0.000011057493,0.00022618355],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879926,0.000013168819,0.00038869475,0.00044427085,0.00006468526,0.00028988882],"domain_scores_gemma":[0.9993684,0.000010822662,0.00021121564,0.0002490848,0.0000089121895,0.00015151077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047141148,0.00014104575,0.00026966192,0.0001263559,0.00022179741,0.00014384065,0.00019698926,0.00007197943,0.00011607621],"category_scores_gemma":[0.0000090166295,0.0001357018,0.000032515658,0.00014125856,0.0005995495,0.0016336663,0.000051174567,0.00010975811,0.000024696585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014872431,0.00011460979,0.116383195,0.00010507081,0.000025423698,0.0000012571679,0.012952476,0.05984819,0.7478382,0.059637625,0.00000313543,0.0029420783],"study_design_scores_gemma":[0.00077615684,0.00027013203,0.026297953,0.000037749476,0.000010647196,0.0000114240365,0.002426777,0.9222387,0.039510086,0.0077692484,0.0002012056,0.0004498962],"about_ca_topic_score_codex":0.000187566,"about_ca_topic_score_gemma":0.000050064726,"teacher_disagreement_score":0.8623905,"about_ca_system_score_codex":0.000064229665,"about_ca_system_score_gemma":0.00011442425,"threshold_uncertainty_score":0.5533759},"labels":[],"label_agreement":null},{"id":"W2953966422","doi":"10.1007/978-3-030-24305-0_2","title":"A Multivariate Econometric Analysis for the Forecasting of the Interdependences Between the Housing Prices and the Socio-economic Factors in the City of Barcelona (Spain)","year":2019,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Metropolitan area; Quarter (Canadian coin); Volatility (finance); Investment (military); Econometrics; Unemployment; Multivariate statistics; Econometric model; Economics; Operations research; Computer science; Macroeconomics; Finance; Geography; Mathematics","score_opus":0.05542133705062848,"score_gpt":0.24130428524732245,"score_spread":0.18588294819669396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953966422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6486313,0.0014004558,0.34061384,0.0025341026,0.0012267657,0.001962886,0.00018846715,0.000010254939,0.0034319826],"genre_scores_gemma":[0.9985293,0.00015661026,0.0009247038,0.00017666863,0.00015425523,0.000010978621,0.0000027013352,0.000018633818,0.000026145188],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978161,0.00006222445,0.001026422,0.0006382589,0.000095986026,0.00036104475],"domain_scores_gemma":[0.9890243,0.008543424,0.001532175,0.0008357277,0.000040835464,0.000023559605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006090912,0.0003104028,0.0009025451,0.0006479107,0.00044006784,0.00030973816,0.0024217109,0.00017422569,0.000020765827],"category_scores_gemma":[0.00038962136,0.00014616373,0.0004302773,0.0006231305,0.0015117284,0.00021036963,0.0006343662,0.0005213309,0.0000015057336],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005755542,0.000022135804,0.75238025,0.00011191028,0.00059336954,3.3642053e-7,0.015006053,0.13924843,7.095296e-7,0.02095056,0.0000030758163,0.07162562],"study_design_scores_gemma":[0.0007132301,0.00007136775,0.1661441,0.00010503295,0.00018205371,0.0000019963802,0.00008512013,0.73606396,0.000025234009,0.0958317,0.00036763266,0.00040859316],"about_ca_topic_score_codex":0.001456844,"about_ca_topic_score_gemma":0.0017709197,"teacher_disagreement_score":0.5968155,"about_ca_system_score_codex":0.00018956552,"about_ca_system_score_gemma":0.00014012532,"threshold_uncertainty_score":0.59603834},"labels":[],"label_agreement":null},{"id":"W2954945297","doi":"10.5089/9781455211722.001","title":"What Drives House Prices in Australia? A+L4584 Cross-Country Approach","year":2010,"lang":"en","type":"article","venue":"IMF Working Paper","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"House price; Cross country; Economics; Geography; International economics; Econometrics","score_opus":0.037345208392817394,"score_gpt":0.2552891919440838,"score_spread":0.21794398355126637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954945297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92365396,0.00032416172,0.000057431153,0.00017126804,0.0031681824,0.00015797709,0.000005796932,0.000108988264,0.07235224],"genre_scores_gemma":[0.9949897,0.0005810269,0.0021833165,0.0003011081,0.00049898226,0.000027818003,0.000010220713,0.00007186871,0.0013359481],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998185,0.000007314251,0.00064077124,0.00058493426,0.000037224938,0.00054476195],"domain_scores_gemma":[0.99905,0.00006938812,0.00026955057,0.00050309335,0.000012587174,0.000095376985],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00077026646,0.00023320643,0.00040891627,0.00023510309,0.00012910592,0.0010056644,0.00039963398,0.00028905424,0.0005591745],"category_scores_gemma":[0.00006544677,0.00027466673,0.00010682624,0.00027724652,0.00014447025,0.0011909251,0.00009070621,0.0005388266,0.00067707227],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034771823,0.00017936222,0.95388275,0.000039241153,0.000036430687,0.000008731729,0.0017383693,0.0004463515,0.0001799628,0.038630925,0.00042465483,0.004398439],"study_design_scores_gemma":[0.001303955,0.000027745175,0.51751626,0.00008308905,0.000008346828,0.000017705011,0.00033785956,0.0016040677,0.000092799964,0.017766483,0.46015638,0.0010853109],"about_ca_topic_score_codex":0.00031145258,"about_ca_topic_score_gemma":0.00058540935,"teacher_disagreement_score":0.45973173,"about_ca_system_score_codex":0.00007530399,"about_ca_system_score_gemma":0.00001871792,"threshold_uncertainty_score":0.99997056},"labels":[],"label_agreement":null},{"id":"W2956470011","doi":"10.1111/cag.12541","title":"Use of repeat house sales to measure changes since the early‐ or mid‐1980s in two inner‐city neighbourhoods in Windsor, Ontario","year":2019,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Neighbourhood (mathematics); Windsor; Geography; Inner city; Demographic economics; Agricultural economics; Business; Economics; Economic geography; Mathematics; Environmental science","score_opus":0.029674100296491944,"score_gpt":0.19392577824435803,"score_spread":0.16425167794786608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2956470011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926502,0.0006141353,0.0000011559534,0.0021339688,0.0008402559,0.0008112093,0.0002794275,0.000043100677,0.0026265576],"genre_scores_gemma":[0.9974533,0.00095148553,0.00013060782,0.00074171624,0.00006433339,0.00007398071,0.000022023647,0.00008806703,0.00047454078],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967055,0.0000667691,0.0009464015,0.0008468712,0.00007984514,0.0013546152],"domain_scores_gemma":[0.99765587,0.00024462218,0.00035183536,0.0010513496,0.000082208746,0.00061410904],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00088567636,0.0004661663,0.00095042353,0.0059899855,0.00019631766,0.00022053575,0.0007690561,0.00021402097,0.00018320214],"category_scores_gemma":[0.00023402259,0.0004612243,0.00024148615,0.0046303226,0.00050840765,0.00048713852,0.00010138409,0.0004490025,0.000041711828],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011957989,0.000032887314,0.9866812,0.000033805904,0.00007704709,0.000036431626,0.004569923,0.00034110126,0.000007860909,0.006148554,0.0003859389,0.0015656549],"study_design_scores_gemma":[0.00070090935,0.00017200966,0.94735825,0.00014482843,0.000012532574,0.000010836487,0.0015614812,0.000038849437,0.000015424317,0.001316962,0.047979873,0.00068801583],"about_ca_topic_score_codex":0.9847766,"about_ca_topic_score_gemma":0.9999584,"teacher_disagreement_score":0.047593933,"about_ca_system_score_codex":0.0005435149,"about_ca_system_score_gemma":0.00029781868,"threshold_uncertainty_score":0.99978393},"labels":[],"label_agreement":null},{"id":"W2958431553","doi":"10.1007/s12061-019-09312-8","title":"Urban and Peri-Urban Residential Rental Markets in Wallonia: Similar or Different?","year":2019,"lang":"en","type":"article","venue":"Applied Spatial Analysis and Policy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Economic rent; Urban agglomeration; Ordinary least squares; Renting; Urban sprawl; Geography; Economic geography; Economies of agglomeration; Zoning; Multicollinearity; Spatial analysis; Econometrics; Urban planning; Economics; Regression analysis; Statistics; Economic growth; Mathematics","score_opus":0.009017423263172859,"score_gpt":0.204126956607592,"score_spread":0.19510953334441913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2958431553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95525956,0.0001381237,0.00009305421,0.0004323911,0.0000846843,0.00018442486,0.000070060574,0.000018097708,0.043719575],"genre_scores_gemma":[0.997382,0.0006434756,0.000057135043,0.00023465428,0.00027459406,0.000014795012,0.000057183588,0.00002555245,0.001310622],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984025,0.00001943544,0.0005966788,0.00057420565,0.00003868119,0.0003685517],"domain_scores_gemma":[0.99926937,0.00006126266,0.00022114815,0.00030571918,0.000007070281,0.00013543604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003040217,0.00023838702,0.000783257,0.0008071605,0.00009989025,0.00017611324,0.00014324623,0.0001493729,0.0008571569],"category_scores_gemma":[0.000024317036,0.00023356179,0.00013686328,0.00046666557,0.00006672238,0.00010994125,0.0001429856,0.00015451695,0.00008158196],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002826816,0.00008008393,0.9716779,0.000041478594,0.00037224704,0.00000389931,0.0009409904,0.000025360694,0.000074377174,0.021366902,0.00066196895,0.004472127],"study_design_scores_gemma":[0.0015464593,0.00006666269,0.9710172,0.000009244868,0.00012603079,0.0000016499049,0.000108462635,0.011321734,0.00005916349,0.0038023149,0.011409718,0.0005313497],"about_ca_topic_score_codex":0.0063060657,"about_ca_topic_score_gemma":0.00817079,"teacher_disagreement_score":0.042408954,"about_ca_system_score_codex":0.00009087851,"about_ca_system_score_gemma":0.000021262,"threshold_uncertainty_score":0.95329267},"labels":[],"label_agreement":null},{"id":"W2963239664","doi":"10.3386/w21458","title":"House Prices, Home Equity and Entrepreneurship: Evidence from U.S. Census Micro Data","year":2015,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Alfred P. Sloan Foundation; Harvard Business School; Ewing Marion Kauffman Foundation; National Science Foundation","keywords":"Census; Entrepreneurship; Equity (law); Geography; Economics; Business; Demographic economics; Finance; Political science; Sociology; Demography; Population","score_opus":0.6854473864872593,"score_gpt":0.5041069110111034,"score_spread":0.18134047547615595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963239664","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048758075,0.04549429,0.000022030385,0.0022029735,0.0033855052,0.0011566916,0.013672209,0.00011284202,0.8851954],"genre_scores_gemma":[0.87426895,0.108395495,0.0026067705,0.0000856968,0.0043123043,0.00008747305,0.005439504,0.00035879426,0.004444988],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9947229,0.000115642004,0.0018426061,0.0018981642,0.000670216,0.0007504756],"domain_scores_gemma":[0.9935029,0.0018968371,0.0013191241,0.0017554945,0.0011742736,0.00035137436],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.021433864,0.00041228413,0.0013248144,0.0010694133,0.00016716165,0.00044587484,0.0025036456,0.00069833995,0.0006263399],"category_scores_gemma":[0.006652911,0.000519591,0.00015361831,0.00021532056,0.00048264305,0.0008773275,0.004199313,0.0010035967,0.00081935705],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004597985,0.00035703412,0.091161326,0.0008439301,0.0010144875,0.000027661594,0.0004422656,0.00024366706,0.000049897728,0.0653896,0.8204849,0.019525452],"study_design_scores_gemma":[0.00083898415,0.0000983638,0.0062893117,0.00030476897,0.000032315264,0.000023095781,0.00004362012,0.0019257084,0.00003223914,0.73213017,0.25747707,0.0008043465],"about_ca_topic_score_codex":0.016253736,"about_ca_topic_score_gemma":0.0014562276,"teacher_disagreement_score":0.8807504,"about_ca_system_score_codex":0.0038006096,"about_ca_system_score_gemma":0.003585817,"threshold_uncertainty_score":0.99995863},"labels":[],"label_agreement":null},{"id":"W2963282811","doi":"10.1080/1331677x.2019.1632728","title":"A Comparative Analysis of R.E.I.T.s, R.E.O.C.s and P.R.E.O.C.s Using a Stochastic Frontier Approach","year":2019,"lang":"en","type":"article","venue":"Economic Research-Ekonomska Istraživanja","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Real estate investment trust; European union; Debt; Frontier; Economics; Stochastic frontier analysis; Stock exchange; Revenue; Capitalization rate; Financial economics; Business; Econometrics; Monetary economics; Finance; Microeconomics; International economics; Geography","score_opus":0.156744619593578,"score_gpt":0.33915705579786926,"score_spread":0.18241243620429126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963282811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8793671,0.0007282486,0.0025572379,0.000052966032,0.00034189408,0.00059403625,0.00026157007,0.000029198502,0.11606772],"genre_scores_gemma":[0.9963351,0.00013474745,0.0019851332,0.000020930522,0.000101614634,0.00000828534,0.00006259714,0.000043119264,0.0013084984],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965465,0.000105291445,0.0013215129,0.0011296187,0.000078349854,0.000818737],"domain_scores_gemma":[0.99785537,0.0003283356,0.00061310426,0.0009154959,0.000069402275,0.00021830338],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002396781,0.00034392075,0.0017784383,0.0019655586,0.00018382639,0.00021740487,0.0005694582,0.0002210198,0.001167598],"category_scores_gemma":[0.00006299629,0.00042780102,0.00036201766,0.00069591164,0.0005563446,0.00050795235,0.0003015817,0.00045752153,0.00054310076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071024505,0.0008080614,0.23203228,0.00039864366,0.008099066,0.000006040187,0.011649246,0.22559091,0.0003571901,0.51624244,0.0024000355,0.0017058094],"study_design_scores_gemma":[0.0014018613,0.00018302622,0.02463713,0.000026793196,0.00017777711,0.000008801878,0.003017293,0.9507181,0.00004610436,0.015774138,0.003210957,0.0007980051],"about_ca_topic_score_codex":0.0011451383,"about_ca_topic_score_gemma":0.000100983336,"teacher_disagreement_score":0.7251272,"about_ca_system_score_codex":0.0005770031,"about_ca_system_score_gemma":0.00015644908,"threshold_uncertainty_score":0.9998174},"labels":[],"label_agreement":null},{"id":"W2963371708","doi":"10.22781/kicpa.2018.60.4.107","title":"The Effect of Changes of Debt Size in the Fourth Quarter on the Market Reaction","year":2018,"lang":"en","type":"article","venue":"Study on Accounting, Taxation & Auditing","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economics; Debt; Monetary economics; History; Macroeconomics","score_opus":0.016780781062423235,"score_gpt":0.23188240025542797,"score_spread":0.21510161919300474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963371708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90339017,0.000011143912,0.000027014492,0.0014426428,0.00037295447,0.0005280368,0.0000074114664,0.000011589965,0.094209045],"genre_scores_gemma":[0.9992188,0.000025164243,0.000011029994,0.00022500998,0.00034118243,0.00006216472,0.0000014284017,0.00001652791,0.000098646975],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987352,0.00016939547,0.0005524131,0.00024022337,0.00008225832,0.00022052541],"domain_scores_gemma":[0.9949371,0.002343847,0.0022656342,0.000398486,0.00004472691,0.000010211336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006197031,0.0001401987,0.00026021904,0.00011739342,0.00035760688,0.00009257607,0.00030545285,0.00005104437,0.000095062285],"category_scores_gemma":[0.0029761358,0.0000854343,0.00007086042,0.00025651586,0.00009637368,0.00010900437,0.0000342527,0.00018252009,0.00007167407],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056578027,0.00031935342,0.9392638,0.000061471874,0.00015142016,0.0000010414096,0.012773339,0.000047383015,0.00021369985,0.010970915,0.010522416,0.025109386],"study_design_scores_gemma":[0.0010674853,0.0015140534,0.9752659,0.00008730036,0.000020216812,0.0000010632446,0.005859119,0.0026179836,0.00060360524,0.0017964259,0.010940057,0.00022675507],"about_ca_topic_score_codex":0.00024059524,"about_ca_topic_score_gemma":0.00089385523,"teacher_disagreement_score":0.09582868,"about_ca_system_score_codex":0.00006002099,"about_ca_system_score_gemma":0.000007858755,"threshold_uncertainty_score":0.35629275},"labels":[],"label_agreement":null},{"id":"W2964178956","doi":"10.3390/jrfm12030125","title":"The Role of the Federal Reserve in the U.S. Housing Crisis: A VAR Analysis with Endogenous Structural Breaks","year":2019,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Federal funds; Granger causality; Inflation (cosmology); Financial crisis; Monetary economics; Variance decomposition of forecast errors; Investment (military); Structural break; Econometrics; Macroeconomics; Monetary policy","score_opus":0.008182144507406343,"score_gpt":0.17687086568789792,"score_spread":0.16868872118049158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964178956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913872,0.0014597676,0.00026430373,0.00023108564,0.00019520259,0.00017628535,0.000012745981,0.0000016685696,0.006271772],"genre_scores_gemma":[0.997769,0.0018799346,0.0001724266,0.00007864294,0.0000709971,0.000002222416,4.0821564e-7,0.000008181469,0.000018159868],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894,0.00005453218,0.0005881552,0.00014134933,0.000072437026,0.00020354967],"domain_scores_gemma":[0.99880123,0.000077654826,0.0007795632,0.0002884324,0.000030135525,0.000022976468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013548235,0.000109419285,0.00035469176,0.00019311396,0.00025429582,0.00014491068,0.00040392065,0.00004071137,0.000009382393],"category_scores_gemma":[0.000030481035,0.000058988797,0.0001889284,0.00043267998,0.00005234184,0.00013226239,0.00008917533,0.0002306403,0.0000022389686],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024288108,0.00003728316,0.9519363,0.000018730725,0.00022503386,0.000008815588,0.0023890336,0.00266923,0.0000013750587,0.018440187,0.000059797974,0.023971314],"study_design_scores_gemma":[0.0009837404,0.00015063646,0.9373572,0.000028191515,0.00019425909,0.000018040302,0.003776231,0.0015293739,0.000009670878,0.036049746,0.019738628,0.0001643009],"about_ca_topic_score_codex":0.00072582497,"about_ca_topic_score_gemma":0.0011002922,"teacher_disagreement_score":0.023807012,"about_ca_system_score_codex":0.000050854647,"about_ca_system_score_gemma":0.00001712832,"threshold_uncertainty_score":0.24054934},"labels":[],"label_agreement":null},{"id":"W2964846256","doi":"10.1108/ijhma-02-2019-0011","title":"Identifying the preference of buyers of single-family homes in Dammam, Saudi Arabia","year":2019,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Originality; Single-family detached home; Preference; Government (linguistics); Value (mathematics); Business; Single family; Marketing; Advertising; Geography; Sociology; Economics; Finance; Qualitative research; Social science; Computer science","score_opus":0.0367464541039469,"score_gpt":0.23430755128829145,"score_spread":0.19756109718434456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964846256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888138,0.0009453992,0.0012643092,0.00019609762,0.000392996,0.000038964852,0.00001654912,0.0000019949175,0.008329889],"genre_scores_gemma":[0.99756926,0.0016833105,0.0005747264,0.000036972295,0.00004687897,3.492928e-7,0.0000025827123,0.00000917881,0.000076751865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99853486,0.00003413191,0.0010481271,0.00015828533,0.000101393634,0.00012323173],"domain_scores_gemma":[0.9981235,0.00017458244,0.0013761582,0.0001507048,0.00014306685,0.000031955202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012990572,0.00010107158,0.00054405554,0.0011220281,0.000023013838,0.00008603043,0.00037019895,0.000050177507,0.00013121266],"category_scores_gemma":[0.00011265639,0.00008796045,0.00026221975,0.00041996603,0.00007490542,0.00028362687,0.000076638345,0.00012608686,0.0000027005603],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016176389,0.000106089006,0.98293054,0.00003512174,0.001181491,0.0000060910743,0.0005236462,0.0021078298,0.0010343104,0.0019607884,0.000030001323,0.009922355],"study_design_scores_gemma":[0.001081196,0.00008408822,0.9759685,0.00024233585,0.00019584259,0.0000125101415,0.0007037437,0.010986325,0.00034396656,0.008920328,0.0012280727,0.00023311574],"about_ca_topic_score_codex":0.00017978413,"about_ca_topic_score_gemma":0.00005789327,"teacher_disagreement_score":0.00968924,"about_ca_system_score_codex":0.00007450312,"about_ca_system_score_gemma":0.000026164193,"threshold_uncertainty_score":0.35869232},"labels":[],"label_agreement":null},{"id":"W2965920025","doi":"10.1093/rfs/hhz047","title":"Peers’ Income and Financial Distress: Evidence from Lottery Winners and Neighboring Bankruptcies","year":2019,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada; Alberta Gambling Research Institute, University of Calgary","keywords":"Lottery; Bankruptcy; Debt; Financial distress; Liberian dollar; Business; Economics; Monetary economics; Actuarial science; Financial system; Finance; Microeconomics","score_opus":0.038997157454453986,"score_gpt":0.25480549912774203,"score_spread":0.21580834167328805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965920025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.626332,0.37140465,0.000024622284,0.00038676025,0.000401983,0.00019231933,0.00007399548,0.000011868496,0.0011718292],"genre_scores_gemma":[0.53217196,0.46716765,0.00024872427,0.00021928552,0.00011116804,0.000011360801,0.0000032711862,0.000010908419,0.000055658184],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99848497,0.00001896849,0.0007864288,0.00042892454,0.000040492134,0.00024019709],"domain_scores_gemma":[0.998941,0.0002536781,0.00045345613,0.00025413092,0.000046600446,0.000051129227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064740033,0.00021429182,0.001089911,0.00007759654,0.00010391457,0.000032139716,0.0001511003,0.00007141935,0.000051989846],"category_scores_gemma":[0.0013444056,0.00022043358,0.000106117375,0.00014824848,0.0001797691,0.00033672657,0.00023878089,0.00011921208,0.000052641262],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004084857,0.000028834456,0.9266438,0.0092819715,0.000077279554,0.0000048469174,0.0015337092,0.000003061735,0.000019599422,0.009930903,0.0011212485,0.05131388],"study_design_scores_gemma":[0.0006452897,0.00015874255,0.9145596,0.01891609,0.000067836554,0.000003447756,0.00014562599,0.00006440618,0.00003364305,0.009498718,0.055204935,0.00070163293],"about_ca_topic_score_codex":0.00022260165,"about_ca_topic_score_gemma":0.00005669241,"teacher_disagreement_score":0.09576299,"about_ca_system_score_codex":0.000065643704,"about_ca_system_score_gemma":0.000025694495,"threshold_uncertainty_score":0.89890206},"labels":[],"label_agreement":null},{"id":"W2966896955","doi":"10.5430/ijfr.v10n6p15","title":"Exploration of the Windfall and Market Entrepreneurship During the Great Recession","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Windfall gain; Economics; Entrepreneurship; Recession; Great recession; Profit (economics); Labour economics; Market economy; Business; Macroeconomics; Finance; Microeconomics","score_opus":0.06851815875590468,"score_gpt":0.30173506994354665,"score_spread":0.23321691118764198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966896955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9777164,0.00018725297,0.00004488846,0.0024616192,0.0010762227,0.00009860506,0.000009502999,0.0000014020289,0.018404132],"genre_scores_gemma":[0.99700934,0.00084557454,0.000036290672,0.00003568035,0.00028210258,0.0000017664586,4.1508554e-7,0.0000074686222,0.0017813941],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990343,0.00007137159,0.00047330227,0.00011844659,0.00016446704,0.00013812544],"domain_scores_gemma":[0.9989576,0.00020495217,0.0004041418,0.00015757502,0.00024351207,0.000032231714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002177848,0.000056776087,0.00015207054,0.00021063213,0.00008569899,0.0000837365,0.00053630274,0.00005397692,0.00028837958],"category_scores_gemma":[0.00082089653,0.00003982238,0.00008539816,0.00013240078,0.00008735568,0.00040839807,0.000167365,0.000306843,0.000026206664],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077480526,0.00007851141,0.9287253,0.00003983337,0.00005480372,0.000008787,0.0013477621,0.00020724781,0.0009092935,0.027120192,0.0019816014,0.03875186],"study_design_scores_gemma":[0.0008584773,0.00009028263,0.9297644,0.00015437522,0.000002551991,0.000030226525,0.000076660996,0.00039845257,0.0016892509,0.040589236,0.02625398,0.00009213227],"about_ca_topic_score_codex":0.00005508943,"about_ca_topic_score_gemma":0.000031830343,"teacher_disagreement_score":0.038659725,"about_ca_system_score_codex":0.00012756442,"about_ca_system_score_gemma":0.000070963775,"threshold_uncertainty_score":0.31575543},"labels":[],"label_agreement":null},{"id":"W2967822578","doi":"10.34989/san-2019-24","title":"The Formation of House Price Expectations in Canada: Evidence from a Randomized Information Experiment","year":2021,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Medium term; Economics; Term (time); Rational expectations; Momentum (technical analysis); Randomized experiment; House price; Econometrics; Financial economics; Macroeconomics","score_opus":0.033492013142472556,"score_gpt":0.26054359569363833,"score_spread":0.22705158255116578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967822578","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94891936,0.0010725481,0.00012302124,0.00075590383,0.0003287435,0.0005456086,0.00004335955,0.0000123455875,0.04819914],"genre_scores_gemma":[0.98504573,0.014157727,0.0004300098,0.00004711609,0.000029531891,0.00018442802,0.000019625526,0.000016861635,0.00006898772],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99769425,0.0001615741,0.0014156529,0.00025586254,0.00006730357,0.0004053779],"domain_scores_gemma":[0.99692214,0.0020214797,0.0004312121,0.0004725923,0.000081083315,0.00007148515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021237838,0.00012231054,0.0005255514,0.00025950387,0.00013776058,0.00012495903,0.0002992799,0.000073095216,0.00007145528],"category_scores_gemma":[0.0020987196,0.0001293134,0.000093780756,0.00025039888,0.00011356032,0.00084033574,0.00012494423,0.0002571239,0.000023476872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.025402501,0.0009299787,0.15694614,0.0005458873,0.000694118,0.00007869469,0.08966264,0.08629521,0.00059205195,0.088878304,0.001391556,0.5485829],"study_design_scores_gemma":[0.07231977,0.00012820853,0.041256547,0.00070834206,0.000018073366,0.000016873057,0.07296031,0.7259315,0.008745448,0.028655788,0.047531493,0.0017276177],"about_ca_topic_score_codex":0.16951004,"about_ca_topic_score_gemma":0.5080058,"teacher_disagreement_score":0.63963634,"about_ca_system_score_codex":0.0021440207,"about_ca_system_score_gemma":0.0009076317,"threshold_uncertainty_score":0.8360203},"labels":[],"label_agreement":null},{"id":"W2967972676","doi":"10.1016/j.jue.2019.103189","title":"Using purchase restrictions to cool housing markets: A within-market analysis","year":2019,"lang":"en","type":"article","venue":"Journal of Urban Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":87,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Real estate; Exploit; Common value auction; Business; Database transaction; Government (linguistics); Supply and demand; Economics; Relative price; Public economics; Microeconomics; Finance","score_opus":0.03203783843746191,"score_gpt":0.2296764367029736,"score_spread":0.1976385982655117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967972676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9627022,0.00022564981,0.0076555926,0.00029270136,0.001953234,0.0002246699,0.00007121986,0.000021065576,0.026853647],"genre_scores_gemma":[0.98699766,0.0003259907,0.010858138,0.00044589434,0.00047094206,0.0000023532432,0.000004136548,0.00007160212,0.0008232655],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969139,0.000039994105,0.0020864094,0.00045014426,0.000042003383,0.00046754905],"domain_scores_gemma":[0.9967043,0.00014700096,0.0020948753,0.0005900494,0.0001048655,0.00035893614],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002059967,0.00028811904,0.0011872434,0.0019457256,0.00014905802,0.000303648,0.0004921067,0.00017685647,0.0010276414],"category_scores_gemma":[0.00022161589,0.0003569118,0.00063976867,0.000834768,0.000045903886,0.00079197023,0.00011502534,0.00035922273,0.00027328476],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009902662,0.0003015453,0.79856575,0.000053073407,0.0028455532,0.000028861587,0.0013495374,0.17257302,0.000051859293,0.015396772,0.0064531188,0.001390637],"study_design_scores_gemma":[0.0059694145,0.0009117394,0.10963983,0.00019412355,0.00143389,0.00029433204,0.0018776864,0.5957846,0.0001784413,0.018907847,0.26166603,0.0031420607],"about_ca_topic_score_codex":0.00013534684,"about_ca_topic_score_gemma":0.00007016755,"teacher_disagreement_score":0.6889259,"about_ca_system_score_codex":0.0008535997,"about_ca_system_score_gemma":0.00015904527,"threshold_uncertainty_score":0.9998883},"labels":[],"label_agreement":null},{"id":"W2968070339","doi":"10.1016/j.jedc.2019.103730","title":"When speculators meet suppliers: Positive versus negative feedback in experimental housing markets","year":2019,"lang":"en","type":"article","venue":"Journal of Economic Dynamics and Control","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Economics; Speculation; Negative feedback; Monetary economics; Asset (computer security); Demand shock; Microeconomics; Price elasticity of supply; Positive feedback; Stock (firearms); Supply and demand; Stock market; Price elasticity of demand; Finance","score_opus":0.007914575105081938,"score_gpt":0.20311673604842626,"score_spread":0.1952021609433443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968070339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9613086,0.00042134087,0.00027966252,0.00045934418,0.0016652689,0.00023484412,0.000069524445,0.0000060019725,0.03555541],"genre_scores_gemma":[0.9988514,0.00017878728,0.00044744636,0.00013319505,0.00021950957,0.0000028149277,0.0000041861445,0.00003871848,0.00012391534],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982006,0.00003028295,0.0010593111,0.00033034073,0.00002905255,0.00035041495],"domain_scores_gemma":[0.9985106,0.00020399003,0.00093375304,0.0001858207,0.000023232576,0.00014259401],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00077796413,0.0002372348,0.0008376967,0.00037648584,0.000054727778,0.00017770949,0.0002194797,0.00013617182,0.00035391675],"category_scores_gemma":[0.000032086984,0.00028054838,0.00020113378,0.000047479174,0.00007348465,0.00058761676,0.00005643655,0.0002242217,0.00008473287],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010262146,0.00056859886,0.6511421,0.000071157374,0.0015954726,0.00008391129,0.0038575726,0.008447998,0.0002561898,0.314562,0.0007834709,0.008369366],"study_design_scores_gemma":[0.05657976,0.001818664,0.11431182,0.00024097192,0.000107479274,0.00012272196,0.0063079316,0.74441046,0.00029800227,0.07129154,0.0023577304,0.0021529251],"about_ca_topic_score_codex":0.00015281457,"about_ca_topic_score_gemma":0.00023839815,"teacher_disagreement_score":0.73596245,"about_ca_system_score_codex":0.0010359122,"about_ca_system_score_gemma":0.00006677135,"threshold_uncertainty_score":0.99996465},"labels":[],"label_agreement":null},{"id":"W2970559834","doi":"","title":"The Swedish Housing Market, An Analysis of two Different Policy-Induced Shocks to the Swedish Fundamental House Prices","year":2019,"lang":"en","type":"article","venue":"Lund University Publications Student Papers (Lund University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economics; House price; Residential property; Property tax; Sample (material); Tax policy; Interest rate; Macroeconomics; Econometrics; Public economics; Tax reform; Geography","score_opus":0.01711369823489053,"score_gpt":0.2235853930477526,"score_spread":0.20647169481286207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970559834","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4721724,0.000011534066,0.00019176741,0.001472372,0.00018830855,0.00033403718,0.00009686476,0.00006589293,0.5254668],"genre_scores_gemma":[0.8247914,0.00035966717,0.00011071487,0.00020676928,0.000090911664,0.0000012125183,0.0000519037,0.00003531147,0.17435214],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982327,0.000095881005,0.00037645744,0.0006631277,0.00013638254,0.0004954551],"domain_scores_gemma":[0.9978269,0.00023365933,0.00048733893,0.0010830555,0.0001087156,0.00026037556],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00050946226,0.00025964822,0.0004923784,0.0016261023,0.0011726692,0.00037503173,0.0017132402,0.00008529312,0.00034431406],"category_scores_gemma":[0.000039339782,0.00025529688,0.00036077437,0.0027973945,0.00015178163,0.00075280137,0.00060415576,0.00022191768,0.000054196757],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083996085,0.00031736234,0.20612542,0.0000074137342,0.001134155,0.0000022452393,0.0015407759,0.0011129852,0.000034353867,0.7888207,0.0003811377,0.0004394754],"study_design_scores_gemma":[0.0007446153,0.0000835665,0.1591164,0.000005841388,0.00031289455,6.2997674e-7,0.011280678,0.0019281501,0.0000035249825,0.00007479981,0.82613266,0.00031621786],"about_ca_topic_score_codex":0.001508685,"about_ca_topic_score_gemma":0.008169604,"teacher_disagreement_score":0.82575154,"about_ca_system_score_codex":0.00118605,"about_ca_system_score_gemma":0.000109554276,"threshold_uncertainty_score":0.9999899},"labels":[],"label_agreement":null},{"id":"W2971591559","doi":"","title":"The effect of Housing in the Monetary Transmission Mechanism of Consumption in Euro Countries","year":2019,"lang":"en","type":"article","venue":"Lund University Publications Student Papers (Lund University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Monetary transmission mechanism; Quarter (Canadian coin); Consumption (sociology); Impulse response; Monetary economics; Autoregressive model; House price; Macroeconomics; Econometrics; Monetary policy; Inflation targeting; Credit channel","score_opus":0.009736547331150104,"score_gpt":0.18405298631980685,"score_spread":0.17431643898865676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971591559","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49241605,0.00006041626,0.00018295184,0.00040290348,0.00006653533,0.00030872616,0.000018336868,0.0000103966695,0.5065337],"genre_scores_gemma":[0.97051156,0.002356671,0.0000676448,0.000029087785,0.000008141239,4.6339892e-7,0.000020213996,0.000011285732,0.02699496],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99909943,0.00012513374,0.00026407282,0.00025212803,0.00006307418,0.00019618192],"domain_scores_gemma":[0.9989445,0.0003811608,0.00027410954,0.00034036857,0.000025628862,0.00003423098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000753778,0.00011541691,0.0002720274,0.0006090667,0.00021316718,0.00004102823,0.00062619377,0.00008787512,0.000071730545],"category_scores_gemma":[0.000016710512,0.0001116554,0.000103349776,0.00065241545,0.00013320534,0.00037026085,0.000086415304,0.00015631138,0.000017667558],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000100459656,0.000061765095,0.21011735,0.000034359724,0.000035260124,0.000002182975,0.0010223282,0.00032793084,0.00003295634,0.7879887,0.000021248585,0.00025545905],"study_design_scores_gemma":[0.0018099005,0.00013685627,0.087440655,0.00003397877,0.00003440198,9.148617e-7,0.002708401,0.0009804872,0.000029965715,0.0003031686,0.9063474,0.00017386721],"about_ca_topic_score_codex":0.00031440007,"about_ca_topic_score_gemma":0.00052826514,"teacher_disagreement_score":0.9063262,"about_ca_system_score_codex":0.00024470972,"about_ca_system_score_gemma":0.00003077889,"threshold_uncertainty_score":0.4553175},"labels":[],"label_agreement":null},{"id":"W2971596593","doi":"10.20525/jfbs.v8i3.507","title":"EXCHANGE RATE AND PERFORMANCE OF THE RESIDENTIAL PROPERTY MARKET IN KENYA","year":2019,"lang":"en","type":"article","venue":"International Journal of Finance & Banking Studies (2147-4486)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Exchange rate; Residential property; Econometrics; Error correction model; Quarter (Canadian coin); Short run; Distributed lag; Order (exchange); Lag; Economics; Statistics; Business; Mathematics; Computer science; Cointegration; Monetary economics; Geography; Finance","score_opus":0.02191468641307755,"score_gpt":0.23169727530703263,"score_spread":0.20978258889395507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971596593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9801903,0.0025861475,0.000019099565,0.0011217581,0.002772417,0.00013036931,0.000016071455,0.000003554377,0.013160328],"genre_scores_gemma":[0.9837524,0.013848357,0.0002128545,0.00015363538,0.00023915112,0.000004036312,5.4399385e-7,0.000016264918,0.0017727277],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984991,0.000035138146,0.000939631,0.00021905941,0.00009672005,0.0002103586],"domain_scores_gemma":[0.99839,0.0001051736,0.0011202074,0.00018034424,0.00018601843,0.000018237926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014783437,0.00015044819,0.00049275026,0.00026474474,0.000066724,0.000056214587,0.00051828794,0.00006130258,0.00013540863],"category_scores_gemma":[0.00017915592,0.00011362984,0.00012714983,0.00014369651,0.00012022291,0.00044973227,0.00024498286,0.00024603627,0.000016530943],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005275617,0.00008749733,0.97587544,0.00013105883,0.00027078224,0.000013309206,0.0023388404,0.00057251635,0.00006495524,0.003492117,0.002675588,0.013950309],"study_design_scores_gemma":[0.0020707373,0.00022771567,0.92629874,0.00093027984,0.000015562679,0.000049772505,0.00022605836,0.0025479945,0.00029041033,0.005729779,0.06129467,0.0003182946],"about_ca_topic_score_codex":0.000067486944,"about_ca_topic_score_gemma":0.000086671505,"teacher_disagreement_score":0.058619082,"about_ca_system_score_codex":0.00020315536,"about_ca_system_score_gemma":0.000046053985,"threshold_uncertainty_score":0.463369},"labels":[],"label_agreement":null},{"id":"W2971642510","doi":"10.1177/2399808319871308","title":"Household-level dynamics in residential location choice modelling with a latent auction method","year":2019,"lang":"en","type":"article","venue":"Environment and Planning B Urban Analytics and City Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Differential (mechanical device); Work (physics); Residential area; Econometrics; Latent class model; Process (computing); Economics; Microeconomics; Computer science; Engineering","score_opus":0.050841228535053594,"score_gpt":0.21676314418540238,"score_spread":0.16592191565034878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971642510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8782381,0.00015695434,0.119550355,0.00009333565,0.00008401868,0.000100745114,0.000010840354,0.000008655101,0.001757025],"genre_scores_gemma":[0.99501896,0.00022689448,0.004213925,0.000036793506,0.000033187047,0.0000019521667,0.0000074830928,0.000009604307,0.0004512187],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989823,0.0000082503875,0.0002618369,0.0004527217,0.000060107537,0.0002347908],"domain_scores_gemma":[0.9995566,0.000038602946,0.00015537284,0.00016511197,0.0000063040325,0.0000779963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009204022,0.00011644874,0.00020500546,0.00024835923,0.00014481155,0.00016594959,0.00010662052,0.000055407476,0.000018133436],"category_scores_gemma":[0.000010790446,0.00012547013,0.000016733988,0.00020701229,0.00012538716,0.0003548699,0.000057495,0.00013121092,0.000009575378],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014579173,0.000016712851,0.7928802,0.000011736502,0.000006218311,9.914514e-7,0.00030235786,0.20237367,0.000005277098,0.004139944,0.000009508502,0.00023881231],"study_design_scores_gemma":[0.0002638469,0.000037733145,0.23250508,0.000022640952,0.000005703589,0.0000025820832,0.00010615577,0.7654021,0.000007285925,0.00101353,0.00047263518,0.00016070889],"about_ca_topic_score_codex":0.0004988805,"about_ca_topic_score_gemma":0.00005745246,"teacher_disagreement_score":0.5630284,"about_ca_system_score_codex":0.00020174742,"about_ca_system_score_gemma":0.00001734081,"threshold_uncertainty_score":0.51165235},"labels":[],"label_agreement":null},{"id":"W2971891405","doi":"10.1111/ecin.70029","title":"Consumer confidence and household investment","year":2025,"lang":"en","type":"article","venue":"Economic Inquiry","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke; Carleton University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Consumer confidence index; Investment (military); Stylized fact; Shock (circulatory); Economics; Consumption (sociology); Business cycle; Productivity; Quarter (Canadian coin); Confidence interval; Demand shock; Monetary economics; Labour economics; Econometrics; Macroeconomics","score_opus":0.052709941014048085,"score_gpt":0.2426783929211424,"score_spread":0.18996845190709433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971891405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61814773,0.0022442092,0.001137818,0.0010233595,0.0050899154,0.00026766848,0.000065339664,0.00011061734,0.37191334],"genre_scores_gemma":[0.9918992,0.0013366337,0.0004613346,0.0033258095,0.00028261406,0.0000330976,0.000009336383,0.000028370388,0.0026235841],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99843943,0.000014740473,0.0006522986,0.0005582304,0.0000090375615,0.00032624687],"domain_scores_gemma":[0.99913317,0.00008839869,0.00021182753,0.00046395502,0.0000064716132,0.00009619984],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00061929476,0.00019308753,0.0004417355,0.00026986722,0.00013858928,0.00015466746,0.00021181664,0.0001339741,0.0003238116],"category_scores_gemma":[0.00004745606,0.0002552853,0.00007630922,0.000060081038,0.00028404544,0.00027687926,0.00014246628,0.00013906772,0.00087155466],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022325868,0.00002911097,0.056429338,0.000038839247,0.00009171597,0.0000027157141,0.00046095284,0.00012526514,0.000008792095,0.9046481,0.03639619,0.0017466138],"study_design_scores_gemma":[0.0014896799,0.000044321332,0.027268916,0.00005065154,0.00001995297,0.000011874885,0.00032279186,0.0039035927,0.00019132004,0.2648785,0.7011065,0.0007119338],"about_ca_topic_score_codex":0.00022725468,"about_ca_topic_score_gemma":0.00004379371,"teacher_disagreement_score":0.6647103,"about_ca_system_score_codex":0.00024074595,"about_ca_system_score_gemma":0.0000638092,"threshold_uncertainty_score":0.9999899},"labels":[],"label_agreement":null},{"id":"W2972687614","doi":"10.2139/ssrn.3784783","title":"The Geography of Housing Subsidies","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Subsidy; Repeal; Welfare; Economics; Public economics; Administration (probate law); Tax deduction; Labour economics; Tax reform; State income tax; Market economy","score_opus":0.011204445125188612,"score_gpt":0.19192187185812887,"score_spread":0.18071742673294025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972687614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9067292,0.035637077,0.0042312234,0.0014293236,0.0008203927,0.00005145191,0.000006920659,0.000018806279,0.05107556],"genre_scores_gemma":[0.943508,0.055829685,0.00010200254,0.000042709624,0.00015517217,0.0000011029792,0.0000013503831,0.000018052373,0.00034188744],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99816453,0.00002185881,0.000494469,0.00015111796,0.00002660231,0.001141446],"domain_scores_gemma":[0.99928194,0.000071592876,0.0003542273,0.00020306975,0.00005189633,0.00003727321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019294283,0.00009284772,0.00023364427,0.000096730626,0.00034247513,0.000104985855,0.00020907304,0.000051179122,0.000038378534],"category_scores_gemma":[0.000108273605,0.00008652726,0.00020518497,0.00017905785,0.00007695425,0.00013369623,0.000040848034,0.0006124735,0.000035885005],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025876081,0.00004138224,0.17411925,0.000006816942,0.0002594416,0.0000028571915,0.00010012479,0.00006186563,0.000023041834,0.8012319,0.00010369853,0.024023706],"study_design_scores_gemma":[0.00036869335,0.000058631642,0.007380628,0.0000098221935,0.0000110700885,0.000107212116,0.000886229,0.00018474761,0.00017211822,0.96676886,0.023883471,0.00016851093],"about_ca_topic_score_codex":0.000046598452,"about_ca_topic_score_gemma":0.00058143184,"teacher_disagreement_score":0.16673861,"about_ca_system_score_codex":0.00021958753,"about_ca_system_score_gemma":0.00039603733,"threshold_uncertainty_score":0.35284793},"labels":[],"label_agreement":null},{"id":"W2972777269","doi":"10.1111/1540-6229.12302","title":"Getting High and Low Prices: Marijuana Dispensaries and Home Values","year":2019,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dispensary; Externality; Empirical evidence; Liberalization; Economics; Business; Demographic economics; Medicine; Microeconomics; Market economy; Nursing","score_opus":0.010459331230377771,"score_gpt":0.18149602674117737,"score_spread":0.1710366955107996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972777269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.910601,0.00012242283,0.000042256408,0.0002449003,0.00054780755,0.00021460534,0.00009894924,0.000056455225,0.088071615],"genre_scores_gemma":[0.96392024,0.033586692,0.0014289351,0.0001375254,0.00013471648,0.000007758439,0.00003954259,0.000066523084,0.00067809835],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998204,0.000011176707,0.00066320744,0.00066053023,0.000013459964,0.0004476519],"domain_scores_gemma":[0.9988952,0.0001624391,0.00041140168,0.00035569086,0.0000135908,0.0001616578],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005483177,0.00026436217,0.00063987385,0.00018210485,0.00014662233,0.00037270164,0.0001668122,0.00013966455,0.00013997522],"category_scores_gemma":[0.000027940958,0.0003286595,0.000066057364,0.00006233,0.00014338405,0.0006617728,0.00018908801,0.00015960624,0.00036176536],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014197153,0.000089720124,0.65702915,0.00043478806,0.00021985089,0.000012422894,0.0026026233,0.0010632246,0.000026797628,0.22841874,0.00019191495,0.1097688],"study_design_scores_gemma":[0.003891279,0.00036828304,0.5698382,0.00010252641,0.000050213792,0.0000812753,0.0013360332,0.11949484,0.00007063131,0.25613797,0.045844454,0.0027842596],"about_ca_topic_score_codex":0.0013349443,"about_ca_topic_score_gemma":0.00021404146,"teacher_disagreement_score":0.11843162,"about_ca_system_score_codex":0.00013598765,"about_ca_system_score_gemma":0.000030182435,"threshold_uncertainty_score":0.99991655},"labels":[],"label_agreement":null},{"id":"W2973202589","doi":"10.1016/j.jue.2021.103370","title":"The amplifying effect of capitalization rates on housing supply","year":2021,"lang":"en","type":"article","venue":"Journal of Urban Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Economic and Social Research Council; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Capitalization; Subsidy; Renting; Differential (mechanical device); Rental housing; Economics; Price elasticity of supply; Labour economics; Business; Monetary economics; Microeconomics; Price elasticity of demand; Market economy","score_opus":0.016643971714225637,"score_gpt":0.21395538979623083,"score_spread":0.1973114180820052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973202589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863483,0.0017214178,0.00041937846,0.0004137846,0.0015001132,0.00007486979,0.000025133098,0.0000058136625,0.009491245],"genre_scores_gemma":[0.9955315,0.0035134244,0.0003106131,0.000103432554,0.00034237365,0.0000013509809,0.000006145778,0.00003567206,0.00015549504],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983215,0.00004608244,0.0011974989,0.00018027867,0.000022621905,0.00023203548],"domain_scores_gemma":[0.9975714,0.0004886494,0.0015051991,0.0002844628,0.00007534203,0.00007493952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014517519,0.00015460064,0.0005781896,0.0001673381,0.00016016893,0.00018629558,0.0002468983,0.000091272,0.000075092175],"category_scores_gemma":[0.0003778699,0.00014204576,0.0002764016,0.00010595734,0.000068296344,0.0002954694,0.000044429824,0.00018741935,0.000040638777],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006665895,0.00018856158,0.80510414,0.00016374055,0.00064357085,0.000029580373,0.0010758697,0.01774577,0.00021646319,0.13998063,0.0067892396,0.02739582],"study_design_scores_gemma":[0.016354667,0.0050068963,0.10615776,0.0009399532,0.00038366008,0.0005736198,0.0017975112,0.053828854,0.07760288,0.18138306,0.55265087,0.0033202893],"about_ca_topic_score_codex":0.000013722755,"about_ca_topic_score_gemma":0.000027965127,"teacher_disagreement_score":0.6989464,"about_ca_system_score_codex":0.00022276063,"about_ca_system_score_gemma":0.0000773129,"threshold_uncertainty_score":0.5792458},"labels":[],"label_agreement":null},{"id":"W2974720112","doi":"10.1257/aer.20191311","title":"The Economic Consequences of Bankruptcy Reform","year":2021,"lang":"en","type":"article","venue":"American Economic Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Bankruptcy; Consumer Protection Act; Economics; Reform Act; Point (geometry); Actuarial science; Basis point; Credit risk; Financial system; Interest rate; Business; Monetary economics; Finance; Law","score_opus":0.027563434803295886,"score_gpt":0.25330714643857444,"score_spread":0.22574371163527857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2974720112","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08646583,0.096883565,0.00007376955,0.0104740895,0.0016638958,0.000458849,0.0002127068,0.00006250109,0.8037048],"genre_scores_gemma":[0.41039422,0.58671975,0.00046218562,0.0013069615,0.00015788384,0.000047538048,0.000023667359,0.000043689655,0.0008441066],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99736434,0.00005387669,0.0016049999,0.0005392502,0.000018406334,0.00041912883],"domain_scores_gemma":[0.99724185,0.00020043427,0.0014725649,0.00094622327,0.000024865456,0.00011405929],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012526116,0.00023403612,0.001153064,0.00006256524,0.00016777373,0.000087114,0.00054013927,0.000045562312,0.0012711968],"category_scores_gemma":[0.00011538603,0.00022178449,0.0003779777,0.000108734836,0.00078651746,0.0002295887,0.00012956336,0.00014421938,0.0028848206],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030127165,0.00004935337,0.01954889,0.00066550385,0.00045606715,0.000010847129,0.000121869925,0.00012833357,0.000020465535,0.61863595,0.014434482,0.3458981],"study_design_scores_gemma":[0.00025748377,0.00006750948,0.0020708237,0.00024179119,0.000031316893,0.000054610642,0.00023226828,0.00037522492,0.00021213207,0.013218044,0.9827597,0.00047909698],"about_ca_topic_score_codex":0.0014762373,"about_ca_topic_score_gemma":0.00045819423,"teacher_disagreement_score":0.9683252,"about_ca_system_score_codex":0.0008944115,"about_ca_system_score_gemma":0.000350776,"threshold_uncertainty_score":0.9996418},"labels":[],"label_agreement":null},{"id":"W2975813062","doi":"10.1016/j.jeca.2019.e00131","title":"Pair-wise convergence of intra-city house prices in Beijing","year":2019,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Beijing; Unit root; House price; Economics; Convergence (economics); Unit (ring theory); Econometrics; Demographics; Shock (circulatory); Population; Benchmark (surveying); Demographic economics; Mathematics; Geography; China; Economic growth; Demography","score_opus":0.022978998220340784,"score_gpt":0.21426209431586468,"score_spread":0.1912830960955239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975813062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9835412,0.0012463469,0.00030129383,0.0004402225,0.0015516924,0.00014447629,0.000019659845,0.000010271313,0.012744845],"genre_scores_gemma":[0.99758667,0.0016175125,0.00037206215,0.00008572405,0.00012720522,9.822543e-7,5.8599466e-7,0.000030656607,0.00017862055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978802,0.00003331104,0.0015857802,0.00017766,0.000032984906,0.0002900511],"domain_scores_gemma":[0.99713904,0.00049593195,0.0019082271,0.0003502109,0.000036270085,0.00007031618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032457334,0.0001711917,0.0007914321,0.0005468411,0.000059993723,0.00006326305,0.0006154541,0.00009900476,0.0005007619],"category_scores_gemma":[0.0002080242,0.00015742003,0.00018306506,0.00022016224,0.00017727564,0.0006427587,0.00009541936,0.00028928067,0.0003057766],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002566756,0.000084317275,0.9641075,0.00005791969,0.00013101668,0.0000021633216,0.0015404788,0.0032867386,0.000042979715,0.027953498,0.000877989,0.0016587315],"study_design_scores_gemma":[0.010991849,0.0021170317,0.67470294,0.0005767916,0.00017850698,0.00022506951,0.008216084,0.024027534,0.009767867,0.13535897,0.13110015,0.0027371882],"about_ca_topic_score_codex":0.0002582665,"about_ca_topic_score_gemma":0.00012452078,"teacher_disagreement_score":0.28940454,"about_ca_system_score_codex":0.00024676244,"about_ca_system_score_gemma":0.00011209933,"threshold_uncertainty_score":0.64194024},"labels":[],"label_agreement":null},{"id":"W2978303577","doi":"","title":"Factors affecting housing prices: a case study in China","year":2019,"lang":"en","type":"dissertation","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Distributed lag; Quarter (Canadian coin); Inflation (cosmology); China; Economics; Autoregressive model; Lag; Price index; Econometrics; House price; Macroeconomics; Geography","score_opus":0.04429321379394962,"score_gpt":0.2605384064196527,"score_spread":0.21624519262570308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2978303577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8031954,0.00011718795,0.000028631808,0.000003073292,0.0016616007,0.0007138098,0.000012962086,0.000061867984,0.19420546],"genre_scores_gemma":[0.9966298,0.0000475263,0.00008179066,0.000011081267,0.00008385065,0.000013277378,0.00010810765,0.00010847616,0.0029161423],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977624,0.000021089683,0.0009813082,0.0007794264,0.000029659053,0.0004261179],"domain_scores_gemma":[0.9986409,0.00010913627,0.0007334442,0.00043585032,0.000013837979,0.00006683297],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007868625,0.000411434,0.0009887569,0.00082918233,0.00013187082,0.00024516517,0.00021710884,0.00033374658,0.00042219117],"category_scores_gemma":[0.00010135672,0.00046679765,0.00017981177,0.00031271958,0.000008364507,0.0003066202,0.000042403804,0.00047552312,0.0002337517],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028915687,0.00039938954,0.9622349,0.0002621728,0.00010603189,0.00031349907,0.033035196,0.00023135392,9.470361e-7,0.0005826637,0.00003561257,0.0027693273],"study_design_scores_gemma":[0.0031774547,0.0005138707,0.70134133,0.00028986798,0.00008070463,0.00007169874,0.2814801,0.007229002,0.000038012746,0.001505264,0.0009041488,0.0033685598],"about_ca_topic_score_codex":0.012744226,"about_ca_topic_score_gemma":0.027677469,"teacher_disagreement_score":0.26089358,"about_ca_system_score_codex":0.00033610844,"about_ca_system_score_gemma":0.000058464037,"threshold_uncertainty_score":0.9997784},"labels":[],"label_agreement":null},{"id":"W2978512051","doi":"10.18502/aqf.0092","title":"Exploring the Provision of Affordable Housing in Ras Al Khaimah","year":2018,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Affordable housing; Subsidy; Government (linguistics); Business; Sustainability; Private sector; Stakeholder; Economic growth; Finance; Political science; Economics; Public relations","score_opus":0.10886730133112535,"score_gpt":0.23025052828652218,"score_spread":0.12138322695539683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2978512051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84329236,0.000038292368,0.00089445454,0.00040660534,0.00043548807,0.00010731959,0.0000026658042,0.000019591185,0.15480325],"genre_scores_gemma":[0.9981817,0.0001835468,0.0010720973,0.00018422081,0.000104142564,0.000009780753,0.0000010692002,0.000018141232,0.00024529928],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99905825,0.000008369045,0.000464396,0.0002148718,0.000016854432,0.00023726022],"domain_scores_gemma":[0.9994798,0.000048917354,0.00015729241,0.0002713486,0.000015724323,0.000026975753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007959687,0.000087339446,0.00022963919,0.00016587724,0.00007170378,0.00004541834,0.00018133032,0.00002986576,0.00024718224],"category_scores_gemma":[0.00006208537,0.00007726071,0.000054611868,0.000206822,0.00008481614,0.00039071045,0.000079220874,0.000080684156,0.00021707623],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025870986,0.00038272052,0.57458496,0.00010719881,0.00007448907,0.000004882451,0.00831525,0.00073280494,0.0006132054,0.27769187,0.0044878726,0.13274603],"study_design_scores_gemma":[0.0040366994,0.0007470673,0.20187868,0.00023458427,0.000015769949,0.000010099275,0.0035385478,0.11811012,0.015498375,0.08990627,0.56423795,0.0017858602],"about_ca_topic_score_codex":0.0007841539,"about_ca_topic_score_gemma":0.00048308395,"teacher_disagreement_score":0.55975,"about_ca_system_score_codex":0.00006434892,"about_ca_system_score_gemma":0.000015096855,"threshold_uncertainty_score":0.31506002},"labels":[],"label_agreement":null},{"id":"W2978595803","doi":"","title":"Mixed-asset portfolio allocation under mean-reverting asset returns","year":2018,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Portfolio; Asset allocation; Real estate; Portfolio optimization; Mean reversion; Economics; Replicating portfolio; Econometrics; Asset (computer security); Real estate investment trust; Financial economics; Capital asset pricing model; Black–Litterman model; Finance; Computer science","score_opus":0.07414643035991071,"score_gpt":0.30163964373298535,"score_spread":0.22749321337307465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2978595803","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5860357,0.00026931296,0.00008791413,0.0007666906,0.0024370574,0.00081785116,0.0003172599,0.00011399409,0.4091542],"genre_scores_gemma":[0.98003393,0.012822605,0.0017273299,0.00029123726,0.0011460207,0.00022377615,0.00047346271,0.00025220853,0.0030294536],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.993118,0.00021304394,0.002557869,0.002283894,0.00013800693,0.0016891864],"domain_scores_gemma":[0.99538785,0.0004911584,0.0012915792,0.0022501403,0.00018277734,0.00039646786],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0074244477,0.00070740265,0.0015116694,0.001555801,0.00036887414,0.00066904357,0.0015273467,0.0012773096,0.0009503162],"category_scores_gemma":[0.0008486329,0.00096635014,0.0004702938,0.00032956724,0.00044944693,0.00043490008,0.0017294734,0.0023559246,0.0005970705],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010599972,0.0026519713,0.36800808,0.0025843752,0.002922136,0.00021226378,0.0059267227,0.06962949,0.00020315094,0.14825156,0.030985545,0.3675647],"study_design_scores_gemma":[0.003942088,0.0005097569,0.105515026,0.001125935,0.0000709613,0.00006972746,0.0028639103,0.17709242,0.00045117363,0.38093162,0.32117212,0.0062552723],"about_ca_topic_score_codex":0.00063541817,"about_ca_topic_score_gemma":0.0021105118,"teacher_disagreement_score":0.40612477,"about_ca_system_score_codex":0.0029958307,"about_ca_system_score_gemma":0.00059255376,"threshold_uncertainty_score":0.9999629},"labels":[],"label_agreement":null},{"id":"W2979296163","doi":"","title":"Washington’s Affordable Housing Property-Tax Levies: Lessons from the Campaigns","year":2019,"lang":"en","type":"article","venue":"Sound Ideas (University of Puget Sound)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Property tax; Affordable housing; Property (philosophy); Business; Real property; Economics; Finance; Political science; Economic growth; Law; Revenue","score_opus":0.034739006348467945,"score_gpt":0.20198622431924515,"score_spread":0.1672472179707772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979296163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93482167,0.0003637403,0.003844085,0.0012957961,0.000652559,0.00029177027,0.00022998187,0.0000690764,0.058431353],"genre_scores_gemma":[0.9911274,0.00029562766,0.0009050181,0.00019620196,0.00012305091,5.8673123e-7,0.000042283024,0.000038743558,0.007271109],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99858737,0.00004194701,0.00033976158,0.0005225632,0.000065671644,0.00044268975],"domain_scores_gemma":[0.99846303,0.00018597225,0.00048149077,0.000718406,0.000050081107,0.000101004014],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00073741394,0.0002215535,0.0005713892,0.00014028398,0.00046390897,0.0001776313,0.00075492205,0.00016697658,0.0018071323],"category_scores_gemma":[0.00007665937,0.00021643695,0.0002764647,0.00024503513,0.00021291377,0.0007096427,0.00025506187,0.000266755,0.0017422419],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011058696,0.0001437719,0.3251426,0.00009364629,0.00032497165,0.000007035368,0.012035014,0.001115171,0.000012873981,0.65505046,0.0055648563,0.00039904105],"study_design_scores_gemma":[0.0006931954,0.000047524725,0.0054976596,0.0000409947,0.000030593237,0.000001677622,0.008533875,0.0022858437,9.763316e-7,0.936571,0.045928605,0.00036807274],"about_ca_topic_score_codex":0.006828586,"about_ca_topic_score_gemma":0.0038325402,"teacher_disagreement_score":0.31964493,"about_ca_system_score_codex":0.00026589257,"about_ca_system_score_gemma":0.00007178949,"threshold_uncertainty_score":0.999785},"labels":[],"label_agreement":null},{"id":"W2980028865","doi":"10.5539/ijef.v11n11p1","title":"Climate Change and Real Estate Prices","year":2019,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Acadia University","funders":"","keywords":"Skewness; Kurtosis; Volatility (finance); Econometrics; Economics; Real estate; Predictive power; Financial economics; Statistics; Mathematics; Finance; Physics","score_opus":0.03048693699839851,"score_gpt":0.22228193445158345,"score_spread":0.19179499745318496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980028865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95390207,0.00042304394,0.000013180455,0.00089234137,0.0013491162,0.00006711359,0.000055885368,0.0000031949342,0.043294042],"genre_scores_gemma":[0.7580525,0.24069358,0.0007935218,0.00014706512,0.00024023131,0.0000017596103,0.0000020831362,0.000012652057,0.000056562043],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99902564,0.0000037918278,0.0005962652,0.00019759392,0.000014433551,0.00016227704],"domain_scores_gemma":[0.9989953,0.0000421883,0.00077658106,0.00009542883,0.000046661502,0.000043824446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046540968,0.000109107736,0.0003189017,0.00018520137,0.000033383647,0.0001453093,0.00020646636,0.00005886116,0.000037773967],"category_scores_gemma":[0.000014332345,0.00012488995,0.000065837,0.00002537486,0.00004431181,0.00064165413,0.00009271751,0.000100214456,0.00005500867],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022244043,0.00007012211,0.19742492,0.000027695849,0.00012702463,0.000018949226,0.0012641561,0.000400592,0.0000073949536,0.5710993,0.000082833445,0.22925459],"study_design_scores_gemma":[0.0044055628,0.0005367652,0.29158518,0.00017897438,0.00002080618,0.00042807806,0.0003190662,0.05649408,0.00006304259,0.09826799,0.5467135,0.0009869854],"about_ca_topic_score_codex":0.00008852743,"about_ca_topic_score_gemma":0.000027106127,"teacher_disagreement_score":0.5466306,"about_ca_system_score_codex":0.000058349917,"about_ca_system_score_gemma":0.000012618011,"threshold_uncertainty_score":0.50928646},"labels":[],"label_agreement":null},{"id":"W2980415574","doi":"10.2139/ssrn.3418495","title":"500 Years of Housing Rents, Quality and Affordability","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Economic rent; Quality (philosophy); Economics; Business; Agricultural economics; Market economy","score_opus":0.020832918634037793,"score_gpt":0.23394345337449537,"score_spread":0.21311053474045757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980415574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857349,0.0012141964,0.00064921443,0.00014949645,0.00027194183,0.00007910867,0.000007838567,0.000010498404,0.011882848],"genre_scores_gemma":[0.9955255,0.003934897,0.00015467551,0.00003502496,0.00006743874,6.041794e-7,0.0000016039843,0.000017298235,0.00026296414],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982788,0.000027305374,0.0005939976,0.00021863278,0.000029055482,0.0008522137],"domain_scores_gemma":[0.99921876,0.0000515538,0.0004428573,0.00021455255,0.000019086352,0.000053194377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035430084,0.00009260563,0.00035739026,0.00011669572,0.000054377044,0.000042334003,0.00014926701,0.00007536744,0.000101671045],"category_scores_gemma":[0.00008923262,0.00011463286,0.000102817714,0.00008654431,0.000048804523,0.00021055296,0.00004513411,0.00055498135,0.00007103039],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006131048,0.000055774733,0.60092807,0.000028361776,0.00008188572,2.6380235e-7,0.00018112051,0.00003682979,0.000048569967,0.36595377,0.000012059436,0.032612],"study_design_scores_gemma":[0.0009450288,0.00017832662,0.1572754,0.000015362313,0.0000076069423,0.000028040537,0.0005020021,0.00031370117,0.000025553578,0.83728385,0.003164204,0.00026095766],"about_ca_topic_score_codex":0.00024097972,"about_ca_topic_score_gemma":0.00022854848,"teacher_disagreement_score":0.47133008,"about_ca_system_score_codex":0.00041598896,"about_ca_system_score_gemma":0.00020078162,"threshold_uncertainty_score":0.46745923},"labels":[],"label_agreement":null},{"id":"W2980759174","doi":"10.1108/ejmbe-06-2019-0092","title":"Is the rest of the EU missing out on REITs?","year":2019,"lang":"en","type":"article","venue":"European Journal of Management and Business Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate investment trust; Diseconomies of scale; Real estate; Debt; Equity (law); Business; Emerging markets; Monetary economics; Asset (computer security); Economics; Financial economics; Economies of scale; Financial system; Finance","score_opus":0.0339570477234909,"score_gpt":0.19114993950564121,"score_spread":0.15719289178215032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980759174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64748466,0.00030303613,0.000117543,0.0073607382,0.001474385,0.00014948341,0.000008774097,0.0000045637657,0.34309685],"genre_scores_gemma":[0.9921135,0.0032608649,0.00031944676,0.001384979,0.0002266652,3.6295393e-7,7.811843e-7,0.00003818423,0.002655255],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986907,0.000048325215,0.0008563234,0.00020247517,0.00002778067,0.00017436383],"domain_scores_gemma":[0.99822575,0.000055658566,0.001208771,0.00042923895,0.000039408395,0.000041180934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016348112,0.00014997566,0.00034301027,0.00016074085,0.000115275965,0.00014990555,0.0005506104,0.000024688617,0.000110463516],"category_scores_gemma":[0.000032975782,0.000108839304,0.00015007301,0.00010620365,0.000087899614,0.0002197911,0.00019906841,0.00016034619,0.0001783092],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009079636,0.000465066,0.23156767,0.00086371484,0.0014218922,0.000048988135,0.004131893,0.010151817,0.000034592435,0.53840053,0.033476073,0.17852981],"study_design_scores_gemma":[0.0013101518,0.000077645804,0.2859517,0.00018750392,0.00004134528,0.000015441263,0.00022198206,0.0010039874,0.000035657547,0.0049396805,0.7059459,0.0002690318],"about_ca_topic_score_codex":0.000003927361,"about_ca_topic_score_gemma":0.000002187204,"teacher_disagreement_score":0.6724698,"about_ca_system_score_codex":0.00004509465,"about_ca_system_score_gemma":0.000011483678,"threshold_uncertainty_score":0.4438338},"labels":[],"label_agreement":null},{"id":"W2981595724","doi":"","title":"Household Income Composition Changes with Rapid Transit Implementation: A Natural Experiment Study of SkyTrain, Metro Vancouver, 1981-2016","year":2019,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Composition (language); Transit (satellite); Transport engineering; Geography; Business; Public transport; Engineering","score_opus":0.016996780683388325,"score_gpt":0.20036119899552896,"score_spread":0.18336441831214062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981595724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990818,0.00012338316,0.00018699093,0.000074937576,0.0004833041,0.0005669708,0.00010562635,0.000050547525,0.0075901863],"genre_scores_gemma":[0.9990721,0.00009647476,0.00018642233,0.00005785606,0.00004061042,0.0000028022043,0.00003495202,0.00002840506,0.00048038864],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99891585,0.000034412813,0.00028271173,0.0004314885,0.000061586325,0.00027393675],"domain_scores_gemma":[0.9991828,0.00003598097,0.00032206802,0.00034269714,0.00003787396,0.00007858524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000193333,0.00020610075,0.0004628026,0.0005718047,0.00010828366,0.000033416385,0.00027029487,0.00006909454,0.00046799224],"category_scores_gemma":[0.0000013011129,0.000238776,0.000087201755,0.0004122696,0.00004397915,0.00039986824,0.00005863262,0.00013037733,0.000034137454],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005029268,0.00046313467,0.993443,0.00005535724,0.00031323568,0.000023599272,0.00058310124,0.0003673827,0.000029670904,0.0013114568,0.0015779706,0.0013291723],"study_design_scores_gemma":[0.05830958,0.010453135,0.10022127,0.00026851645,0.0004776496,1.0259563e-7,0.54632646,0.0022775852,0.012611712,0.0005920186,0.26412693,0.0043350332],"about_ca_topic_score_codex":0.00057075935,"about_ca_topic_score_gemma":0.06432615,"teacher_disagreement_score":0.89322174,"about_ca_system_score_codex":0.00026304278,"about_ca_system_score_gemma":0.00002740594,"threshold_uncertainty_score":0.9737003},"labels":[],"label_agreement":null},{"id":"W2982582145","doi":"10.22574/jmid.2019.11.005","title":"Loss Aversion in Financial Markets","year":2019,"lang":"en","type":"article","venue":"Journal of Mechanism and Institution Design","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Loss aversion; Financial market; Risk aversion (psychology); Economics; Asset (computer security); Behavioral economics; Financial economics; Finance; Expected utility hypothesis","score_opus":0.02132860393363621,"score_gpt":0.19077339274032049,"score_spread":0.1694447888066843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982582145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.908992,0.000252679,0.07558821,0.00015375747,0.0014600309,0.00012772102,0.000004060915,0.0000053480176,0.013416183],"genre_scores_gemma":[0.9959834,0.0012615743,0.00242243,0.000106231346,0.000083585044,6.6932137e-7,4.9696433e-7,0.000006022197,0.0001355601],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991927,0.000021473637,0.0004963608,0.0001258997,0.000027582015,0.00013595105],"domain_scores_gemma":[0.99946713,0.000029564184,0.0003443893,0.00008162089,0.000021633732,0.000055685578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013711622,0.00008172256,0.00027588868,0.00030040057,0.000043093274,0.000037345904,0.00009831246,0.000100589976,0.00020022682],"category_scores_gemma":[0.00007136798,0.00008764691,0.000056468427,0.00009322564,0.000021976688,0.0004673579,0.000023043023,0.0001442348,0.00012518764],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058369274,0.00013750482,0.015700683,0.000060260016,0.00002133179,0.000074303076,0.00042777252,0.001052432,0.00033527918,0.97167873,0.0009343435,0.008993635],"study_design_scores_gemma":[0.009245412,0.0010785401,0.034478642,0.00036822102,0.000021173222,0.0006201011,0.00021459044,0.029519577,0.0027364984,0.86042845,0.060364027,0.0009247392],"about_ca_topic_score_codex":0.000009382898,"about_ca_topic_score_gemma":0.0000019019576,"teacher_disagreement_score":0.11125028,"about_ca_system_score_codex":0.00009876388,"about_ca_system_score_gemma":0.00006031286,"threshold_uncertainty_score":0.35741374},"labels":[],"label_agreement":null},{"id":"W2982584082","doi":"10.1111/1540-6229.12337","title":"Jumbo rates below conforming rates: When did this happen and why?","year":2020,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Financial crisis; Government (linguistics); 2019-20 coronavirus outbreak; Economics; Point (geometry); Interest rate; Monetary economics; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Demographic economics; Business; Financial system; Keynesian economics; Geography; Mathematics; Medicine; Geometry; Virology","score_opus":0.036496274373835035,"score_gpt":0.220113533948875,"score_spread":0.18361725957503996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982584082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6776163,0.00015558301,0.00028755475,0.0033706843,0.00040303072,0.00033501344,0.00023381821,0.00012088186,0.31747714],"genre_scores_gemma":[0.92627454,0.06305544,0.0035184603,0.004607338,0.0007113957,0.000047730995,0.0002186501,0.00023017741,0.0013362458],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99748224,0.000018158404,0.0011056088,0.0007791225,0.000018249531,0.00059660384],"domain_scores_gemma":[0.9985346,0.000115898976,0.0005755744,0.00034860199,0.000026503109,0.00039877422],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00057999603,0.00036943157,0.0008784574,0.00015354762,0.00023190223,0.00041963707,0.00032761908,0.00019157707,0.0007205136],"category_scores_gemma":[0.00010197979,0.0004746262,0.00015256343,0.0000926707,0.00015347052,0.000888574,0.00021511893,0.00025962872,0.0012320263],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008214572,0.00029725482,0.3114295,0.0009883754,0.0011455159,0.00008732287,0.038868465,0.003364474,0.00019339206,0.23543976,0.04575718,0.3616073],"study_design_scores_gemma":[0.0023280405,0.0002696871,0.005420174,0.00003671069,0.000035166617,0.000023068269,0.0008312319,0.15084104,0.00033190826,0.024764221,0.813476,0.0016427315],"about_ca_topic_score_codex":0.00147392,"about_ca_topic_score_gemma":0.0002828371,"teacher_disagreement_score":0.76771885,"about_ca_system_score_codex":0.00017579096,"about_ca_system_score_gemma":0.00007176056,"threshold_uncertainty_score":0.9997705},"labels":[],"label_agreement":null},{"id":"W2984073795","doi":"10.1201/9780429469565","title":"Introduction to Real Estate Development and Finance","year":2019,"lang":"en","type":"book","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Real estate development; Finance; Real estate; Business","score_opus":0.016632278224558126,"score_gpt":0.18457838571453697,"score_spread":0.16794610748997885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2984073795","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00790036,0.00005472558,0.00028340955,0.0009847003,0.001236758,0.00026597432,0.000028285562,0.000043786175,0.989202],"genre_scores_gemma":[0.00028394532,0.007144995,0.005359645,0.00016067519,0.00084673206,0.0000150706255,0.000084510546,0.00006153221,0.9860429],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99839884,0.0000030857545,0.00059729005,0.0007091573,0.000018939454,0.0002726726],"domain_scores_gemma":[0.9992639,0.000021241109,0.00027095998,0.00036675524,0.000018516275,0.000058627655],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003945966,0.000247574,0.000548483,0.0002724995,0.00006908618,0.0000984834,0.0001442799,0.00021558245,0.00039089358],"category_scores_gemma":[0.000018725277,0.0003140455,0.000050298542,0.000047354144,0.00002583247,0.00012247638,0.000120446355,0.00016952021,0.0065208646],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042768803,0.000025084353,0.0006327741,0.00013204408,0.00008056051,0.0000034255495,0.0009531647,0.00019953269,5.527694e-7,0.22392097,0.58623326,0.18777587],"study_design_scores_gemma":[0.00013625105,0.000031406027,0.00037181054,0.0000144397845,0.000002999299,0.0000027496203,0.0000070616525,0.0001689403,0.000005973948,0.0061326222,0.99270856,0.0004171698],"about_ca_topic_score_codex":0.00007509079,"about_ca_topic_score_gemma":0.00014580962,"teacher_disagreement_score":0.4064753,"about_ca_system_score_codex":0.00042057608,"about_ca_system_score_gemma":0.00012348934,"threshold_uncertainty_score":0.99993116},"labels":[],"label_agreement":null},{"id":"W2986702598","doi":"10.1111/1080-8620.00014","title":"Smoothing in Commercial Property Valuations: Evidence from Individual Appraisals","year":2001,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Smoothing; Property (philosophy); Econometrics; Economics; Business; Mathematics; Statistics; Epistemology; Philosophy","score_opus":0.12756064687468233,"score_gpt":0.2814361050876556,"score_spread":0.15387545821297327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2986702598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88227576,0.000115195624,0.0003324948,0.00097286835,0.00069450325,0.0003084824,0.00017226263,0.000068098394,0.11506032],"genre_scores_gemma":[0.9569817,0.039227016,0.002536519,0.00031025553,0.00041885953,0.000058347938,0.00013545202,0.000074876014,0.0002569633],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973622,0.000056045355,0.0012831154,0.0007177918,0.000030622672,0.0005502125],"domain_scores_gemma":[0.9983553,0.00040997428,0.0005194622,0.00054097205,0.000023099688,0.00015116742],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017210253,0.00028145334,0.00069689075,0.00033902013,0.00015245356,0.00032314236,0.00054270495,0.00020174653,0.0004484385],"category_scores_gemma":[0.0003152834,0.00031690914,0.0001319834,0.00020677864,0.00009595498,0.0011779015,0.00016547512,0.00030714713,0.00088893436],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015064413,0.00017012455,0.7626403,0.0000199785,0.00008051685,0.000016751768,0.005028304,0.0073693185,0.000006491904,0.0042760666,0.0006949017,0.21954662],"study_design_scores_gemma":[0.0030523217,0.00016261167,0.68918127,0.00018525128,0.000038685517,0.000019364254,0.00078520324,0.11568456,0.000039034745,0.04489102,0.1441787,0.0017819592],"about_ca_topic_score_codex":0.016236534,"about_ca_topic_score_gemma":0.0070459316,"teacher_disagreement_score":0.21776466,"about_ca_system_score_codex":0.00043251415,"about_ca_system_score_gemma":0.00011630791,"threshold_uncertainty_score":0.9999283},"labels":[],"label_agreement":null},{"id":"W2989665068","doi":"10.1016/j.jue.2019.103214","title":"Transition to the property tax in China: A dynamic general equilibrium analysis","year":2019,"lang":"en","type":"article","venue":"Journal of Urban Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Economics; Tax reform; Tax credit; Ad valorem tax; Value-added tax; Microeconomics; Tax revenue; Indirect tax; Property tax; Public economics; Revenue; Counterfactual thinking; Finance","score_opus":0.010259463844115782,"score_gpt":0.19024131204620992,"score_spread":0.17998184820209415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989665068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98498976,0.00019616945,0.0011813524,0.0038879127,0.0008364448,0.0002241286,0.000054258013,0.000006556543,0.008623431],"genre_scores_gemma":[0.996682,0.00027126868,0.0007404526,0.00053187297,0.00023467444,0.0000042688894,0.000007312475,0.000031346488,0.0014968095],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99806815,0.000028737655,0.0012688367,0.00028592153,0.000023272782,0.00032505745],"domain_scores_gemma":[0.9987156,0.00003301892,0.00073572266,0.00037296957,0.000027411475,0.000115323586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013613204,0.00017738227,0.00075808784,0.0007721656,0.000037981787,0.00014723901,0.00045181203,0.00010288523,0.00029920266],"category_scores_gemma":[0.000033102046,0.00014131093,0.00041694113,0.00041440333,0.000026211119,0.00048955524,0.00004866384,0.00027539412,0.00031737422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000399648,0.00023356332,0.25825182,0.00003858165,0.0009081591,0.000010750438,0.0037940457,0.72409326,0.00007990966,0.0046215365,0.0031223842,0.0044463566],"study_design_scores_gemma":[0.0019632168,0.000397642,0.16625935,0.0000305836,0.00013375601,0.00004640431,0.00024560367,0.7487053,0.000031470947,0.0056550927,0.07584191,0.0006896221],"about_ca_topic_score_codex":0.00018749622,"about_ca_topic_score_gemma":0.00043741643,"teacher_disagreement_score":0.09199246,"about_ca_system_score_codex":0.0004734385,"about_ca_system_score_gemma":0.00006082898,"threshold_uncertainty_score":0.57624924},"labels":[],"label_agreement":null},{"id":"W2990407377","doi":"","title":"The Effects of Housing Expenses on within Household Resource Allocation","year":2019,"lang":"en","type":"article","venue":"2019 APPAM Fall Research Conference","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Mortgage and Housing Corporation","funders":"","keywords":"Business; Resource allocation; Resource (disambiguation); Economics; Environmental economics; Public economics; Labour economics; Computer science","score_opus":0.07515966932141213,"score_gpt":0.2800697956262055,"score_spread":0.20491012630479336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990407377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8713158,0.00035948752,0.00015876336,0.00041534883,0.00049439253,0.00058379123,0.000013667622,0.000036779787,0.126622],"genre_scores_gemma":[0.99555695,0.0006989866,0.000093959294,0.00006822728,0.000076109995,0.000024424562,0.0000072041394,0.000039545088,0.003434593],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981186,0.00012664928,0.00055816624,0.0004907287,0.0001618143,0.0005440467],"domain_scores_gemma":[0.9971379,0.0014631861,0.00031123945,0.0008690122,0.00011616664,0.00010248827],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0030374385,0.00016361271,0.00035331037,0.00026925254,0.0002349131,0.00025420825,0.0006872826,0.00013339146,0.00005846955],"category_scores_gemma":[0.0010427919,0.00014917225,0.00008206055,0.0002488622,0.00024521595,0.00017831597,0.00018403231,0.00045336154,0.0011515598],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005784939,0.00033640696,0.053594768,0.00050529744,0.00013942707,0.0000075818907,0.0029110147,0.00081742066,0.0034694066,0.8911267,0.016300116,0.030213397],"study_design_scores_gemma":[0.008246502,0.0052265096,0.1356196,0.0024720745,0.00003272519,0.000012336145,0.004178461,0.049944874,0.033642348,0.16685009,0.5902298,0.0035447113],"about_ca_topic_score_codex":0.000733004,"about_ca_topic_score_gemma":0.00022197593,"teacher_disagreement_score":0.7242766,"about_ca_system_score_codex":0.00014698386,"about_ca_system_score_gemma":0.00011943077,"threshold_uncertainty_score":0.99962616},"labels":[],"label_agreement":null},{"id":"W2991645255","doi":"10.5089/9781513519180.001","title":"Assessing House Prices in Canada","year":2019,"lang":"en","type":"article","venue":"IMF Working Paper","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; House price; Census; Value (mathematics); Agricultural economics; Economics; Geography; Econometrics; Statistics; Demography; Population; Sociology; Mathematics; Archaeology","score_opus":0.02810278783045966,"score_gpt":0.20582325829000472,"score_spread":0.17772047045954506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991645255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7859798,0.00026919614,0.000028485834,0.00027261567,0.0010124482,0.000077004275,0.0000015583526,0.000029266284,0.21232964],"genre_scores_gemma":[0.9984538,0.00009846063,0.00048782869,0.0005912563,0.000092380425,0.0000047619296,0.0000018712648,0.000041158142,0.00022848652],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99890065,0.000006355063,0.00041387952,0.00031428298,0.000023847106,0.00034099587],"domain_scores_gemma":[0.99942523,0.000076787546,0.00018014373,0.00026403664,0.000004895257,0.000048878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034068152,0.00011836485,0.00029259804,0.00011189704,0.000044768967,0.00017376454,0.00018100945,0.00005786485,0.0006709305],"category_scores_gemma":[0.000025922913,0.00014629835,0.000042178228,0.00017361688,0.000010306305,0.00035871347,0.00004813263,0.00015890705,0.00052955095],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000049401433,0.000012932433,0.9863762,0.000012482301,0.000010205898,0.0000064961087,0.00013819373,0.00060104247,0.000015608128,0.0048569012,0.00026927938,0.007695688],"study_design_scores_gemma":[0.00068235706,0.000009937927,0.6262153,0.00009341222,0.000002602381,0.000003769451,0.00035668557,0.003269403,0.000022917482,0.0033174308,0.36546403,0.0005621818],"about_ca_topic_score_codex":0.45168695,"about_ca_topic_score_gemma":0.61802214,"teacher_disagreement_score":0.36519474,"about_ca_system_score_codex":0.00056873134,"about_ca_system_score_gemma":0.00016394831,"threshold_uncertainty_score":0.7346218},"labels":[],"label_agreement":null},{"id":"W2991805964","doi":"10.2175/193864715819557687","title":"Seeing Red, but ‘in the Black’ – Diverse Case Studies Demonstrate Substantial Cost Savings by Converting to Deammonification","year":2015,"lang":"en","type":"article","venue":"Proceedings of the Water Environment Federation","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunny Hill Health Centre for Children","funders":"","keywords":"Pulp and paper industry; Engineering","score_opus":0.053380683979938746,"score_gpt":0.22252548383479434,"score_spread":0.1691447998548556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991805964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99443036,0.000047392554,0.00014896558,0.002516888,0.00012663695,0.0004791465,0.000009834934,0.000010365205,0.0022304275],"genre_scores_gemma":[0.99923384,0.000113162845,0.00019481497,0.00014940121,0.000050172195,0.000035635352,0.0000058751552,0.000014562913,0.00020255103],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99891114,0.000010804216,0.00051370467,0.00027880273,0.0000597834,0.00022577694],"domain_scores_gemma":[0.9995401,0.000019415704,0.0002647413,0.00010937302,0.000022886503,0.000043487948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013371753,0.00013336645,0.00020281198,0.00006315292,0.0002447526,0.00015627762,0.00019191492,0.00005675234,0.000011565738],"category_scores_gemma":[0.00007365308,0.000089497,0.00004837984,0.000059986673,0.00007945859,0.00036144294,0.000107887325,0.00009914167,0.00006973521],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006054505,0.00065083534,0.71142405,0.00031256958,0.00030639357,0.000032998516,0.15286446,0.007194184,0.09409865,0.007225988,0.013991144,0.011293277],"study_design_scores_gemma":[0.008256507,0.00075857365,0.016934905,0.000321038,0.00026710678,0.0004967626,0.15208906,0.06314973,0.65520984,0.03655371,0.06262346,0.0033393272],"about_ca_topic_score_codex":0.0001050901,"about_ca_topic_score_gemma":0.000030782263,"teacher_disagreement_score":0.6944891,"about_ca_system_score_codex":0.0002448574,"about_ca_system_score_gemma":0.000004091744,"threshold_uncertainty_score":0.36495817},"labels":[],"label_agreement":null},{"id":"W2992756816","doi":"","title":"House Price Indices: Does Measurement Matter?","year":2011,"lang":"en","type":"article","venue":"World Economy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Recession; Quarter (Canadian coin); Unemployment; Investment (military); House price; Monetary economics; Econometrics; Keynesian economics; Macroeconomics","score_opus":0.05270324506705671,"score_gpt":0.18744605700096925,"score_spread":0.13474281193391255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992756816","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0540463,0.00023184855,0.00086460856,0.0003377182,0.0009103076,0.00025619898,0.000018129685,0.00017541363,0.94315946],"genre_scores_gemma":[0.9935095,0.00007723288,0.0015830271,0.0011873863,0.00022196832,0.000066386725,0.0000035939106,0.000087670975,0.0032632553],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99801946,0.00001419569,0.0008286022,0.0005938721,0.000024326568,0.00051952084],"domain_scores_gemma":[0.9987045,0.000022259235,0.0004777071,0.00059239357,0.00002713584,0.0001760322],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009338552,0.00025606374,0.00048371687,0.00045017368,0.00014342029,0.0001351147,0.0004377976,0.000081775885,0.010940978],"category_scores_gemma":[0.000019426836,0.00027465922,0.00016116393,0.00018553149,0.000074205804,0.0005469668,0.00010517549,0.00017500643,0.01512153],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000510205,0.00025611656,0.88304573,0.00009382298,0.0002004576,0.000008323339,0.0019966692,0.000017012637,0.0000028299694,0.099664174,0.012331185,0.0023326383],"study_design_scores_gemma":[0.0008133452,0.0000392206,0.08041702,0.00003052735,0.000015315141,0.0000046670057,0.00013600511,0.00026598337,0.00022997658,0.09202047,0.82514876,0.0008786818],"about_ca_topic_score_codex":0.0004332809,"about_ca_topic_score_gemma":0.0006651647,"teacher_disagreement_score":0.9398962,"about_ca_system_score_codex":0.00032304056,"about_ca_system_score_gemma":0.000031222684,"threshold_uncertainty_score":0.99997056},"labels":[],"label_agreement":null},{"id":"W2992783120","doi":"10.1007/s00168-019-00959-2","title":"Mass appraisal without statistical estimation: a simplified comparable sales approach based on a spatiotemporal matrix","year":2019,"lang":"en","type":"article","venue":"The Annals of Regional Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Autoregressive model; Real estate; Computer science; Sample (material); Econometrics; Database transaction; Spatial analysis; Matrix (chemical analysis); Estimation; Gauge (firearms); Transaction data; Operations research; Data mining; Statistics; Economics; Mathematics; Geography; Finance; Database","score_opus":0.12048091260741094,"score_gpt":0.33885179839595925,"score_spread":0.2183708857885483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992783120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68393207,0.0001182136,0.12390669,0.008767981,0.000458138,0.0006106876,0.0001382916,0.00006341771,0.1820045],"genre_scores_gemma":[0.9846109,0.000014889993,0.014611264,0.00051064737,0.000038243747,0.0000077261575,0.000021517402,0.000010443546,0.00017433337],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987685,0.000021557324,0.00040218042,0.0003668163,0.00013415646,0.00030675222],"domain_scores_gemma":[0.99883413,0.00026198645,0.00033019425,0.00041355894,0.0000720508,0.000088046756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018492108,0.0001226019,0.00030999765,0.00016280777,0.00016121204,0.00009785868,0.0005309794,0.00004269197,0.000084260704],"category_scores_gemma":[0.00018303079,0.00010414836,0.00006812902,0.0003281723,0.00053752394,0.00019702228,0.00004163179,0.000110487425,0.00034865618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002542352,0.00016516575,0.02995388,0.000058754908,0.000014862711,5.7850787e-7,0.00018565927,0.11235194,0.000048528775,0.8532825,0.0024477555,0.0012361236],"study_design_scores_gemma":[0.00033007914,0.000109805165,0.01911566,0.000018898772,0.000002139381,0.0000023727757,0.000048555168,0.9428512,0.00005827608,0.033037778,0.0042453706,0.00017989238],"about_ca_topic_score_codex":0.000098545395,"about_ca_topic_score_gemma":0.0000033450817,"teacher_disagreement_score":0.83049923,"about_ca_system_score_codex":0.000029692179,"about_ca_system_score_gemma":0.00013563399,"threshold_uncertainty_score":0.4481386},"labels":[],"label_agreement":null},{"id":"W2994081262","doi":"","title":"Concentration Alert: Why You Should Adopt Better Commercial Real Estate Risk Management Practices Even before New Guidelines Take Effect","year":2006,"lang":"en","type":"article","venue":"ABA banking journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Portfolio; Quarter (Canadian coin); Business; Finance; Actuarial science; Asset (computer security)","score_opus":0.0467770887556966,"score_gpt":0.2772653134430803,"score_spread":0.23048822468738372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994081262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8405872,0.0003966166,0.008979963,0.0047185714,0.0024061394,0.00034097314,0.000050793155,0.000077247074,0.14244246],"genre_scores_gemma":[0.97139055,0.008565283,0.0122255655,0.0013592502,0.0052276324,0.000011585926,0.00009277098,0.0001039585,0.0010234267],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977172,0.000076131815,0.0012057959,0.00038966874,0.000095673044,0.00051555404],"domain_scores_gemma":[0.99733514,0.00009745921,0.0021047366,0.0002784429,0.000061474726,0.00012272941],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020085599,0.00028071483,0.00046281074,0.00019107206,0.00046661464,0.00062236335,0.00032489005,0.00014595587,0.00043261758],"category_scores_gemma":[0.00014046753,0.0002961811,0.00021908499,0.00015278235,0.00004411537,0.0008308057,0.0000694209,0.00048267955,0.00014972137],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012574387,0.00006342911,0.5709074,0.000035816105,0.00020478244,0.000058197253,0.0004241777,0.001999892,0.000004176905,0.002535737,0.060462534,0.3631781],"study_design_scores_gemma":[0.003391338,0.0003377378,0.22462803,0.00014479007,0.00019545344,0.0001514871,0.00008067937,0.013678609,0.00003800693,0.037342113,0.7191497,0.00086202414],"about_ca_topic_score_codex":0.0032974237,"about_ca_topic_score_gemma":0.0012371342,"teacher_disagreement_score":0.6586872,"about_ca_system_score_codex":0.00023526563,"about_ca_system_score_gemma":0.00003820446,"threshold_uncertainty_score":0.99994904},"labels":[],"label_agreement":null},{"id":"W2994410951","doi":"","title":"Performance of Canadian E-REITs","year":2007,"lang":"en","type":"article","venue":"International Real Estate Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Real estate investment trust; Equity (law); Initial public offering; Diversification (marketing strategy); Risk–return spectrum; Business; Portfolio; Composite index; Financial economics; Real estate; Monetary economics; Economics; Finance; Stock exchange","score_opus":0.03781234809007949,"score_gpt":0.2536670340590662,"score_spread":0.21585468596898671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994410951","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10262919,0.0002888147,0.000020069952,0.00037600828,0.00039391115,0.00008302975,0.000044441822,0.000008141919,0.8961564],"genre_scores_gemma":[0.3602751,0.63920236,0.00022520233,0.000102978374,0.00004483042,0.000002084792,0.000019901458,0.000008245114,0.00011930804],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990581,0.000003244301,0.0005792514,0.00014647261,0.000027538406,0.00018534825],"domain_scores_gemma":[0.99943495,0.000031100535,0.00024594623,0.00013373318,0.000048588503,0.000105708976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091744703,0.00007540928,0.00023717148,0.00037307848,0.000024972553,0.000011155216,0.00021436218,0.000033842265,0.0004820238],"category_scores_gemma":[0.00008138859,0.00008746403,0.00007355712,0.00020026969,0.000025901976,0.00013752609,0.00001978741,0.00006385266,0.00043048637],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009534782,0.00001724666,0.0499376,0.00039106538,0.000033971544,0.0000061711385,0.00005671523,0.000016552201,0.0000033764993,0.008617997,0.0006532917,0.9402565],"study_design_scores_gemma":[0.000082441045,0.000016618482,0.020262524,0.00027625135,0.0000030831209,0.0000068227378,0.0000031508978,0.00053424115,0.00001938087,0.00006129806,0.9786336,0.000100633355],"about_ca_topic_score_codex":0.033399973,"about_ca_topic_score_gemma":0.01710073,"teacher_disagreement_score":0.97798026,"about_ca_system_score_codex":0.00014843639,"about_ca_system_score_gemma":0.000045595083,"threshold_uncertainty_score":0.9730367},"labels":[],"label_agreement":null},{"id":"W2995903178","doi":"10.13140/rg.2.2.13800.57606","title":"Essays on Corporate Finance and Economies of Agglomeration","year":2018,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Productivity; Stock (firearms); Christian ministry; Economies of agglomeration; Economy; Business; Finance; Economics; Agricultural economics; Geography; Economic growth; Political science","score_opus":0.0405740394417442,"score_gpt":0.20263449154953042,"score_spread":0.16206045210778622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995903178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6220094,0.000048444675,0.000459521,0.0001700316,0.00021191995,0.0000497688,0.000016870692,0.000012998515,0.37702104],"genre_scores_gemma":[0.99683124,0.0004265063,0.0010382925,0.00019484865,0.00010303289,0.000006107384,0.000003821756,0.000011547942,0.0013846284],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99925655,0.0000046358396,0.00036772699,0.00023473323,0.000007443367,0.00012891187],"domain_scores_gemma":[0.9993764,0.00003079169,0.00035960562,0.00018667038,0.000019875653,0.000026654947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028642957,0.00008869233,0.00024320412,0.000118369084,0.00006780345,0.00003876755,0.00007131573,0.000057046287,0.0004411184],"category_scores_gemma":[0.000027621432,0.000102087935,0.000031298187,0.00006445571,0.00013570557,0.00017265584,0.000026794925,0.000039270697,0.00045903746],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004225989,0.000035623903,0.043349974,0.000014352784,0.000015808022,3.1051428e-7,0.00018311819,0.000044087483,0.000020458408,0.9466983,0.002012922,0.0075827623],"study_design_scores_gemma":[0.0021049143,0.0012282615,0.11304064,0.000057207748,0.000010621614,0.0000074121795,0.00013568037,0.05062076,0.007039588,0.6855535,0.13914482,0.0010565767],"about_ca_topic_score_codex":0.00006203462,"about_ca_topic_score_gemma":0.000065635904,"teacher_disagreement_score":0.37563643,"about_ca_system_score_codex":0.000026637637,"about_ca_system_score_gemma":0.000009164565,"threshold_uncertainty_score":0.5900151},"labels":[],"label_agreement":null},{"id":"W2997950728","doi":"10.34020/2073-6495-2019-4-320-331","title":"Formation of Demand in the Residential Real Estate Market of Canada: Modern Trends","year":2019,"lang":"en","type":"article","venue":"Vestnik NSUEM","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Residential real estate; Economics; Supply and demand; Capitalization rate; Business; Real estate investment trust; Finance; Microeconomics","score_opus":0.013712672308395651,"score_gpt":0.18770260854231133,"score_spread":0.17398993623391568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997950728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70861787,0.000027158509,0.000060718212,0.00013946582,0.0001376294,0.00005956235,0.000040464187,0.0000027842564,0.29091436],"genre_scores_gemma":[0.99873745,0.00040135538,0.000081937826,0.00002345843,0.000022085456,0.0000033174967,0.0000115485345,0.00000960819,0.000709256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990833,0.000023032013,0.0005526266,0.00013412957,0.000035248657,0.00017168598],"domain_scores_gemma":[0.999311,0.000062227235,0.00033788002,0.00025466384,0.000012038351,0.000022246904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007367756,0.00007712763,0.00026336053,0.00017124029,0.000023477885,0.00001660103,0.00018901295,0.000047368463,0.00016003859],"category_scores_gemma":[0.000022656879,0.000076542274,0.00004469606,0.00015121959,0.000023246812,0.0001901587,0.000025717703,0.00006833251,0.000008425777],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009220013,0.00039693183,0.7978776,0.0008621289,0.00014572237,0.000020699723,0.020487942,0.012951648,0.00043012126,0.05198387,0.036774818,0.07714648],"study_design_scores_gemma":[0.002011468,0.00015904072,0.81977767,0.000054452146,0.000013991303,0.000008913041,0.0007433642,0.1459933,0.0004660809,0.01465637,0.015678631,0.000436746],"about_ca_topic_score_codex":0.11398808,"about_ca_topic_score_gemma":0.19687323,"teacher_disagreement_score":0.2902051,"about_ca_system_score_codex":0.00008366259,"about_ca_system_score_gemma":0.00006015106,"threshold_uncertainty_score":0.8919119},"labels":[],"label_agreement":null},{"id":"W2998446732","doi":"","title":"An Enhanced House Price Index Model in Malaysia: A Laspeyres Approach","year":2019,"lang":"en","type":"article","venue":"IIUM Journal Of Economics and Management/International Journal of Economics, Management and Accounting","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Price index; Economics; Consumer price index (South Africa); Distributed lag; Quarter (Canadian coin); House price; Econometrics; Producer price index; Supply and demand; Wholesale price index; Autoregressive model; Price level; Interest rate; Hedonic index; Macroeconomics; Monetary policy; Mid price; Computer science","score_opus":0.014746629223768357,"score_gpt":0.19891491121261887,"score_spread":0.18416828198885052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998446732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9496895,0.00048118806,0.0036904805,0.00038154403,0.0013072933,0.00025726564,0.000011622367,0.000008507987,0.044172592],"genre_scores_gemma":[0.9513292,0.040081926,0.0074336324,0.00044802568,0.00043477284,0.000003750304,0.000004071812,0.000063737316,0.00020090108],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969709,0.000014265106,0.0021294511,0.00044670838,0.000050724433,0.00038795298],"domain_scores_gemma":[0.9964848,0.000043089687,0.0029797403,0.00025540762,0.00010525806,0.00013168143],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020944143,0.00031861785,0.00086056127,0.0022896812,0.00006620296,0.0007424352,0.00087068375,0.000117986434,0.000043898704],"category_scores_gemma":[0.000015455724,0.00037625138,0.00022083994,0.00012441294,0.000068890586,0.0029280926,0.000330496,0.0003112655,0.000017609824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00097595865,0.0007030467,0.15825735,0.0003888918,0.0020907216,0.00006889057,0.000816418,0.42699668,0.000020523212,0.39443162,0.0008070846,0.014442792],"study_design_scores_gemma":[0.0127832,0.00033328446,0.048644353,0.0003179773,0.00016159081,0.00021518668,0.0032971667,0.7650302,0.000034931913,0.14555797,0.022199906,0.0014242404],"about_ca_topic_score_codex":0.0000277604,"about_ca_topic_score_gemma":0.000031039835,"teacher_disagreement_score":0.3380335,"about_ca_system_score_codex":0.00023860711,"about_ca_system_score_gemma":0.000026051566,"threshold_uncertainty_score":0.9998689},"labels":[],"label_agreement":null},{"id":"W2999391428","doi":"","title":"An analysis of off-reserve core housing need of Indigenous renters in British Columbia","year":2019,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Core (optical fiber); Indigenous; Geography; Engineering","score_opus":0.015300845461291183,"score_gpt":0.1871038873071064,"score_spread":0.1718030418458152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999391428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99172103,0.00006641613,0.000036918413,0.000006103413,0.00013692511,0.00016343407,0.00025201385,0.000017633323,0.007599526],"genre_scores_gemma":[0.99906135,0.00022881613,0.00009710068,0.000019321604,0.000008684096,2.0599508e-7,0.00008255467,0.000017977967,0.00048400927],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988436,0.000024367379,0.0004675545,0.00036844405,0.00003638476,0.00025965762],"domain_scores_gemma":[0.99897814,0.000040074134,0.0004451577,0.00041412766,0.000044825465,0.00007766937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003098779,0.000095913994,0.00067144394,0.0010125396,0.000054440192,0.00006208054,0.00040094616,0.00013944207,0.0005526945],"category_scores_gemma":[0.000017914985,0.00020466822,0.00020810575,0.0014986194,0.00007911738,0.0003881069,0.000074093085,0.000117694195,0.000016596288],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004083196,0.00014752227,0.9951433,0.000032480115,0.00022897268,0.000018663766,0.00011206632,0.0027968665,0.0000039582633,0.00013119534,0.000113986716,0.0012301477],"study_design_scores_gemma":[0.002115635,0.00022663569,0.950551,0.00007331958,0.00018523578,9.158272e-9,0.01577358,0.024483677,0.000042056923,0.00034091546,0.00568105,0.0005268909],"about_ca_topic_score_codex":0.08710937,"about_ca_topic_score_gemma":0.87898034,"teacher_disagreement_score":0.791871,"about_ca_system_score_codex":0.00021554636,"about_ca_system_score_gemma":0.00004090207,"threshold_uncertainty_score":0.91896963},"labels":[],"label_agreement":null},{"id":"W2999598469","doi":"","title":"THE IMPACT OF SPECULATION AND VACANCY TAX ON THE HOUSING PRICES IN VANCOUVER","year":2019,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Speculation; Economics; Business; Finance","score_opus":0.014146344541314382,"score_gpt":0.18991647069300782,"score_spread":0.17577012615169343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999598469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9259835,0.000056620855,0.000041022682,0.0000927195,0.00016255397,0.00014344415,0.000014951111,0.0000069370653,0.07349826],"genre_scores_gemma":[0.99904066,0.0003115894,0.000023314013,0.00001886797,0.000019046034,1.975335e-7,0.0000014699395,0.000009247211,0.00057558506],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99944735,0.000014658524,0.00017455555,0.00018395207,0.000019428267,0.00016005037],"domain_scores_gemma":[0.99937475,0.0001514154,0.00020695371,0.00022697548,0.0000128206975,0.000027083743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028515715,0.00009064666,0.00016830565,0.00019264898,0.00009891054,0.00003727084,0.0001735906,0.00005670469,0.00011705823],"category_scores_gemma":[0.000025896557,0.00007254232,0.00007410279,0.00027264887,0.000048988542,0.00020497329,0.000051014194,0.0001098238,0.00004350608],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058613034,0.000019949506,0.97633624,0.0000055195082,0.00002342891,0.0000015080456,0.000030011035,0.0013240337,7.1878543e-7,0.020167504,0.0011935345,0.00083891966],"study_design_scores_gemma":[0.0027247674,0.0003495747,0.7868894,0.00010206225,0.000020006088,6.2493535e-9,0.010532432,0.024678525,0.00015641807,0.021319496,0.1525047,0.0007226143],"about_ca_topic_score_codex":0.0009588515,"about_ca_topic_score_gemma":0.029352281,"teacher_disagreement_score":0.18944685,"about_ca_system_score_codex":0.00017481222,"about_ca_system_score_gemma":0.000020373414,"threshold_uncertainty_score":0.9883595},"labels":[],"label_agreement":null},{"id":"W3001675180","doi":"10.1007/978-4-431-55942-9_2","title":"Theoretical Background of Hedonic Measure and Repeat Sales Measure-Survey-","year":2020,"lang":"en","type":"book-chapter","venue":"Advances in Japanese business and economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Hedonic index; Residential property; Measure (data warehouse); Econometrics; Hedonic pricing; Price index; Hedonic regression; Property (philosophy); Property value; Economics; Quality (philosophy); Variety (cybernetics); Statistics; Actuarial science; Computer science; Mathematics; Data mining; Real estate; Finance","score_opus":0.03255617656255861,"score_gpt":0.21526226845552213,"score_spread":0.18270609189296352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3001675180","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11430979,0.052439664,0.00010159323,0.0005458682,0.0012831715,0.0006061593,0.00072391,0.0000580871,0.82993174],"genre_scores_gemma":[0.9073963,0.09019707,0.0002700623,0.00018198979,0.00025894996,0.000014014832,0.00015133538,0.00015859454,0.0013716738],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969962,0.000019568155,0.0014666767,0.0010912055,0.000039694325,0.00038664817],"domain_scores_gemma":[0.9980317,0.00027168306,0.0009189267,0.0005340909,0.00009136072,0.00015225018],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010606394,0.0005975288,0.0018066901,0.00033342553,0.00009027399,0.00013951608,0.00033138396,0.00053013605,0.00022965853],"category_scores_gemma":[0.00016986206,0.00071372057,0.00013929323,0.00009353199,0.0008240826,0.00069605635,0.00025658915,0.00040604133,0.00007969346],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025967584,0.000034899585,0.00909514,0.00045812567,0.00007950051,0.000008047044,0.00019547789,0.00019577223,6.599313e-7,0.9813146,0.000028903718,0.008329178],"study_design_scores_gemma":[0.0026875066,0.00017543363,0.018260347,0.00080609357,0.000094972296,0.00008336309,0.00029097276,0.00392451,0.0000034885031,0.87846863,0.092439294,0.0027653715],"about_ca_topic_score_codex":0.00012865583,"about_ca_topic_score_gemma":0.0010669085,"teacher_disagreement_score":0.8285601,"about_ca_system_score_codex":0.00014467558,"about_ca_system_score_gemma":0.00006547234,"threshold_uncertainty_score":0.9995314},"labels":[],"label_agreement":null},{"id":"W3001812461","doi":"","title":"Consumers' greed and inefficiency paradigm during the U.S. 2008-2009 subprime mortgages crisis: The view of economists","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"Inefficiency; Subprime crisis; Financial crisis; Subprime mortgage crisis; Financial system; Economics; Business; Monetary economics; Keynesian economics; Market economy","score_opus":0.014873065565668654,"score_gpt":0.2003301096871687,"score_spread":0.18545704412150005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3001812461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89676696,0.016295912,0.002781858,0.012988126,0.0005052869,0.00077696337,0.00024443513,0.00007116845,0.069569275],"genre_scores_gemma":[0.98515886,0.012327119,0.00062545785,0.0001089529,0.000021440612,0.000038050846,0.000051809173,0.000042386422,0.0016259449],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9971873,0.0007222692,0.0009791917,0.00070694997,0.000059525282,0.00034472052],"domain_scores_gemma":[0.9955273,0.00084906537,0.0011916714,0.002135836,0.00020709341,0.000089002446],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0057144803,0.00030976546,0.000652685,0.00017074759,0.00037090396,0.0003654717,0.0012581354,0.00022103245,0.00017861582],"category_scores_gemma":[0.0004398176,0.0002732685,0.00021997088,0.00018198302,0.0003848357,0.00012999825,0.00097187236,0.0005368913,0.00009258551],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104452156,0.0011608015,0.35467413,0.0024244697,0.0010625036,0.000006200453,0.03760966,0.0024596222,0.00022073042,0.56118965,0.004739954,0.03434786],"study_design_scores_gemma":[0.004244492,0.000004519351,0.59949034,0.0029491994,0.00029542824,0.00007573402,0.0014981283,0.098738566,0.007690255,0.08798572,0.19339494,0.00363269],"about_ca_topic_score_codex":0.002609034,"about_ca_topic_score_gemma":0.0009357227,"teacher_disagreement_score":0.4732039,"about_ca_system_score_codex":0.00009940461,"about_ca_system_score_gemma":0.0001207804,"threshold_uncertainty_score":0.9999719},"labels":[],"label_agreement":null},{"id":"W3001964273","doi":"10.3386/w26914","title":"The Gender Gap in Housing Returns","year":2020,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Yale School of Management; Yale University","keywords":"Gender gap; Business; Demographic economics; Economics","score_opus":0.5274199743570246,"score_gpt":0.45820682810074115,"score_spread":0.06921314625628344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3001964273","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045774058,0.0019076016,0.000050217168,0.0064097154,0.0012762812,0.0007019599,0.00016377188,0.000028837636,0.94368756],"genre_scores_gemma":[0.99542594,0.0028546746,0.00037579314,0.00008051833,0.000656092,0.00008019099,0.00010188047,0.0000617662,0.0003631428],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967691,0.00012264674,0.0014928611,0.00085648085,0.00015379844,0.0006051634],"domain_scores_gemma":[0.9975556,0.00096922874,0.0006295783,0.00055098283,0.00016984167,0.00012475191],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006833595,0.00024792206,0.0006874131,0.000760041,0.00022194795,0.0003149885,0.0011230723,0.00042786324,0.00027628953],"category_scores_gemma":[0.0010471062,0.0002736213,0.00025191336,0.00021501748,0.00031831412,0.00016789597,0.0009490783,0.0015201807,0.00068030675],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007875183,0.000041988184,0.010461627,0.00010204395,0.000096397285,0.000002657419,0.00037941016,0.0046097673,0.0000061641204,0.97699565,0.006501823,0.0007237],"study_design_scores_gemma":[0.00036002867,0.000020917229,0.002170544,0.000033253313,0.0000019997772,0.0000010722584,0.00010862854,0.02451359,0.000020325206,0.9645368,0.0079842,0.00024864828],"about_ca_topic_score_codex":0.0009223428,"about_ca_topic_score_gemma":0.00062302145,"teacher_disagreement_score":0.9496519,"about_ca_system_score_codex":0.00167635,"about_ca_system_score_gemma":0.00068114605,"threshold_uncertainty_score":0.99997157},"labels":[],"label_agreement":null},{"id":"W3004086154","doi":"10.1111/1540-6229.12310","title":"Possible income misstatement on mortgage loan applications: Evidence from the Canadian housing market","year":2020,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canada Mortgage and Housing Corporation; Toronto Metropolitan University","funders":"","keywords":"Economics; House price; Incentive; Loan; Monetary economics; Financial economics; Macroeconomics; Microeconomics","score_opus":0.05682687082135493,"score_gpt":0.23678656117886313,"score_spread":0.1799596903575082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004086154","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7017647,0.00018395035,0.00049171725,0.009204199,0.000414555,0.0008277053,0.0009787261,0.00010715831,0.28602728],"genre_scores_gemma":[0.97741294,0.017950904,0.0010506113,0.002632257,0.000495704,0.00008494981,0.000099002886,0.00009113368,0.00018252381],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976922,0.00003793291,0.0009111572,0.0007641557,0.00002975576,0.00056479673],"domain_scores_gemma":[0.9979948,0.00032658357,0.000476473,0.00068666466,0.000024269542,0.00049122586],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00076833914,0.00029747427,0.00047416065,0.00012437812,0.00050632545,0.0005160536,0.00068241585,0.00013220891,0.00059391855],"category_scores_gemma":[0.000098575285,0.0003245408,0.00014048623,0.00018492977,0.00010700753,0.00043819746,0.0001127232,0.00031134998,0.0015408758],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061645836,0.0002039769,0.6656213,0.00020712793,0.0006583295,0.00006431827,0.0102228895,0.036002718,0.000017156333,0.05009022,0.01914868,0.21714686],"study_design_scores_gemma":[0.0014130279,0.00025982378,0.10542075,0.00013479883,0.000053543386,0.000004715908,0.0007921881,0.16004686,0.00009973617,0.022735685,0.707213,0.0018258935],"about_ca_topic_score_codex":0.18463637,"about_ca_topic_score_gemma":0.17162377,"teacher_disagreement_score":0.6880643,"about_ca_system_score_codex":0.0009601265,"about_ca_system_score_gemma":0.0002722758,"threshold_uncertainty_score":0.99992067},"labels":[],"label_agreement":null},{"id":"W3004705735","doi":"10.6000/1929-7092.2020.09.06","title":"An Empirical Investigation of the Portuguese Housing Prices (2004-18)","year":2020,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portuguese; Economics; Econometrics","score_opus":0.09497006540058127,"score_gpt":0.28888041444633655,"score_spread":0.19391034904575527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004705735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9749054,0.008700488,0.00060732674,0.0040723155,0.0010056241,0.00027349638,0.000079785044,0.000011405751,0.010344177],"genre_scores_gemma":[0.9658606,0.021352625,0.0038985906,0.00809795,0.00073883194,0.000002359609,0.000005280174,0.00003316466,0.00001056982],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99742854,0.00006471967,0.001993548,0.0002651336,0.000034718418,0.00021334663],"domain_scores_gemma":[0.9959515,0.000043587075,0.0033392105,0.0003557271,0.000056269848,0.00025374087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001449174,0.00019906467,0.00093147816,0.000072871735,0.00006271443,0.000067440895,0.00061872596,0.00011919942,0.00010405652],"category_scores_gemma":[0.00033272628,0.00016942614,0.00041821224,0.00024972533,0.00009633318,0.00053882715,0.000056137647,0.00024087317,0.0000819801],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037413233,0.00030090875,0.8354348,0.00042217597,0.00025428395,0.000008599465,0.0014353935,0.010234043,0.000040666997,0.026288236,0.028244969,0.09696181],"study_design_scores_gemma":[0.0021276493,0.0013633876,0.1821148,0.0004100074,0.00013213209,0.00006894957,0.00020032491,0.01463121,0.00025738296,0.039620765,0.75806046,0.0010129642],"about_ca_topic_score_codex":0.000014543106,"about_ca_topic_score_gemma":0.000013266694,"teacher_disagreement_score":0.7298155,"about_ca_system_score_codex":0.0002968504,"about_ca_system_score_gemma":0.00013159124,"threshold_uncertainty_score":0.6908997},"labels":[],"label_agreement":null},{"id":"W3006268285","doi":"","title":"Impact fees and new housing cost: A comparative analysis of the empirical models","year":2012,"lang":"en","type":"article","venue":"QUT ePrints (Queensland University of Technology)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Order (exchange); Odds; Empirical research; Public economics; Economics; Dozen; Econometric model; Empirical modelling; Empirical evidence; Econometrics; Business; Actuarial science; Computer science; Finance; Logistic regression","score_opus":0.11778873037850021,"score_gpt":0.2697437227655636,"score_spread":0.15195499238706336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006268285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98400676,0.00014605455,0.003020431,0.0004695643,0.000042333766,0.00010069162,0.000044904387,0.000023496239,0.01214578],"genre_scores_gemma":[0.99852955,0.00016180323,0.0011582267,0.000010484058,0.000007633885,1.00587194e-7,0.000002103958,0.0000042083334,0.00012589789],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993766,0.0000115940775,0.00020758457,0.000187034,0.000020497051,0.00019671235],"domain_scores_gemma":[0.99926203,0.000032387874,0.00030468407,0.00031134873,0.000023311442,0.00006622775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019710211,0.00010080415,0.00050062477,0.00053306826,0.00009022052,0.0000072486946,0.00024643246,0.00015378464,0.00010522757],"category_scores_gemma":[0.00002183596,0.00009847964,0.00016988633,0.0006028744,0.00024304324,0.0001703651,0.00020665645,0.00013110532,0.0000102678605],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002941413,0.00005516614,0.98581195,0.0000046378404,0.0004429914,3.0658887e-7,0.0011353361,0.00072132016,0.0000099552735,0.010055776,0.00021164464,0.001521475],"study_design_scores_gemma":[0.0004891114,0.000026647067,0.97525764,0.000011412041,0.00017667034,0.0000015296263,0.0005997679,0.011082209,0.000088287066,0.0082070455,0.0038975538,0.00016212207],"about_ca_topic_score_codex":0.00082085637,"about_ca_topic_score_gemma":0.00019950757,"teacher_disagreement_score":0.0145227965,"about_ca_system_score_codex":0.00007809573,"about_ca_system_score_gemma":0.000025385092,"threshold_uncertainty_score":0.40158832},"labels":[],"label_agreement":null},{"id":"W3006527807","doi":"10.3390/jrfm13020031","title":"Pricing Defaulted Italian Mortgages","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Default; Real estate; Financial economics; Value (mathematics); Economics; Business; Geometric Brownian motion; Econometrics; Actuarial science; Finance; Mathematics; Economy; Statistics","score_opus":0.017179894899126098,"score_gpt":0.19357641120333963,"score_spread":0.17639651630421352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006527807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8685011,0.001821654,0.07465377,0.000963798,0.00086488394,0.00017627943,0.000026792231,0.000026226542,0.052965496],"genre_scores_gemma":[0.98676664,0.009620844,0.0027916136,0.00042941666,0.00032767677,0.0000010354374,8.639286e-7,0.000013881411,0.000048024787],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99903375,0.000010271563,0.0005976968,0.00016066227,0.000030298415,0.00016731085],"domain_scores_gemma":[0.99921775,0.00002830848,0.0005395114,0.000082587714,0.000014951521,0.000116913114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004856934,0.00010580305,0.0003373291,0.00015050669,0.000097186545,0.00007244284,0.00014039049,0.000047264122,0.00004955896],"category_scores_gemma":[0.00017062027,0.00011292123,0.00010611481,0.00015283476,0.000026481495,0.00019419388,0.0000668461,0.00017020512,0.00004739291],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025679034,0.00012813108,0.31817776,0.00019780402,0.00012222504,0.00019225845,0.0041001053,0.0005587765,0.000004552927,0.08496742,0.00617005,0.58512414],"study_design_scores_gemma":[0.0015572236,0.0002709308,0.21608779,0.000044501234,0.000061686915,0.000013999266,0.00047235045,0.0016021414,0.000016201044,0.02907211,0.75043285,0.0003681929],"about_ca_topic_score_codex":0.00001948094,"about_ca_topic_score_gemma":0.0000047724916,"teacher_disagreement_score":0.7442628,"about_ca_system_score_codex":0.00003354712,"about_ca_system_score_gemma":0.0000074996788,"threshold_uncertainty_score":0.46047944},"labels":[],"label_agreement":null},{"id":"W3006712579","doi":"10.3138/cpp.2019-009","title":"Reconnecting the Housing Market to the Labour Market: Foreign Ownership and Housing Affordability in Urban Canada","year":2020,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Speculation; Context (archaeology); Foreign ownership; Market economy; Business; Labour economics; Economics; Foreign direct investment; Finance","score_opus":0.03703013188594217,"score_gpt":0.1985788930057513,"score_spread":0.16154876111980912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006712579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6463371,0.00021040527,0.000042739204,0.15998374,0.00025179025,0.00041718382,0.0002594573,0.000027513895,0.19247009],"genre_scores_gemma":[0.9751401,0.000043018765,0.00008617798,0.023654934,0.00066674873,0.000023267812,0.0000046741297,0.000049609043,0.00033149618],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99775696,0.000094561845,0.0005654326,0.0005266359,0.000042521227,0.0010138993],"domain_scores_gemma":[0.99818707,0.0002660944,0.000192604,0.0004760989,0.000030004965,0.00084815366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019620666,0.00023321155,0.00036661897,0.00034735136,0.00057664013,0.0005173973,0.0005686376,0.000105802974,0.00042468976],"category_scores_gemma":[0.0026762907,0.00020711492,0.00006264405,0.0009973344,0.00008639066,0.00026831657,0.00011837288,0.00035318043,0.000019166664],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034535064,0.000010284724,0.7620507,0.00007125891,0.000054801363,0.000019201841,0.0026262011,0.00011107272,6.265045e-7,0.114559986,0.08483559,0.035625752],"study_design_scores_gemma":[0.00034000157,0.000022311977,0.16645224,0.000016872978,0.0000038717644,0.000008366402,0.0014675199,0.008718132,0.000002024026,0.0049126563,0.81758416,0.00047184297],"about_ca_topic_score_codex":0.96315634,"about_ca_topic_score_gemma":0.9963406,"teacher_disagreement_score":0.73274857,"about_ca_system_score_codex":0.0017119334,"about_ca_system_score_gemma":0.002602049,"threshold_uncertainty_score":0.8445901},"labels":[],"label_agreement":null},{"id":"W3006880700","doi":"","title":"Assessing the Effects of Housing Policy Measures on New Lending in Australia","year":2020,"lang":"en","type":"article","venue":"BIS Papers chapters","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Debt; Household debt; Business; Human settlement; Economics; Monetary economics; Finance","score_opus":0.08191769809948847,"score_gpt":0.2752051160224162,"score_spread":0.19328741792292775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006880700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94353664,0.00013642503,0.00013200834,0.003374015,0.0003748997,0.00016544215,0.0000034668592,0.000028507677,0.05224857],"genre_scores_gemma":[0.9984516,0.0001668408,0.00014402489,0.00091832073,0.00021206087,0.000002574377,0.0000011780979,0.000025474868,0.00007791785],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990014,0.00001900224,0.00039103028,0.00028180494,0.000034203043,0.000272586],"domain_scores_gemma":[0.99936956,0.00012381535,0.00023131032,0.00017412662,0.0000043393043,0.00009681953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027453227,0.0001466268,0.0003176778,0.00019962086,0.00006933738,0.0001038051,0.0002066206,0.00007293345,0.000039668346],"category_scores_gemma":[0.0003385459,0.00014303799,0.00010998161,0.00025192022,0.000054269407,0.00018410526,0.000038340928,0.00015287902,0.000045008605],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024091246,0.00019573924,0.468759,0.00073699997,0.00036101043,0.00006054921,0.025779432,0.006744076,0.019751096,0.24343738,0.0019798598,0.23195396],"study_design_scores_gemma":[0.01173949,0.0015024423,0.71595275,0.0017223988,0.00011665885,0.000014015429,0.0058357245,0.011490691,0.015199238,0.016156767,0.21584085,0.0044289823],"about_ca_topic_score_codex":0.001240222,"about_ca_topic_score_gemma":0.000050601906,"teacher_disagreement_score":0.24719375,"about_ca_system_score_codex":0.00012155939,"about_ca_system_score_gemma":0.000036236244,"threshold_uncertainty_score":0.583292},"labels":[],"label_agreement":null},{"id":"W3007448879","doi":"10.21034/iwp.34","title":"The Assessment Gap: Racial Inequalities in Property Taxation","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Inequality; Property (philosophy); Economics; Public economics; Property tax; Law and economics; Mathematics; Tax reform; Epistemology; Philosophy","score_opus":0.11207517784663558,"score_gpt":0.27354582952649986,"score_spread":0.1614706516798643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007448879","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06438718,0.00032952163,0.0057315635,0.013539637,0.002642227,0.00082220085,0.00010602508,0.00010817773,0.9123335],"genre_scores_gemma":[0.9928194,0.0014793605,0.0011187494,0.00040703357,0.0004211558,0.00014493767,0.00007894602,0.00003858927,0.0034917865],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981385,0.000044043838,0.000992555,0.00051054795,0.000031886746,0.00028247433],"domain_scores_gemma":[0.9985603,0.00009220386,0.000867384,0.00040356148,0.000021155702,0.000055402346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001272401,0.0002171654,0.0004940827,0.00012605998,0.00013198663,0.0004249893,0.0004045691,0.00022315883,0.00028572907],"category_scores_gemma":[0.000271449,0.00016245428,0.00013429894,0.000090045476,0.000054915,0.00011954567,0.00048395593,0.0005563849,0.0002786969],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007090584,0.00012120427,0.11974575,0.00026429255,0.00011680051,0.0000060640596,0.0034117443,0.0016753585,0.0000030235583,0.84169054,0.009618106,0.023276223],"study_design_scores_gemma":[0.0006585497,0.000053446358,0.038085587,0.00005621793,0.000007670729,7.112767e-7,0.00055068417,0.09119395,0.000011943971,0.5394224,0.32910833,0.000850498],"about_ca_topic_score_codex":0.0014638577,"about_ca_topic_score_gemma":0.0013577272,"teacher_disagreement_score":0.9284323,"about_ca_system_score_codex":0.0003739753,"about_ca_system_score_gemma":0.00013727821,"threshold_uncertainty_score":0.6624693},"labels":[],"label_agreement":null},{"id":"W3007528397","doi":"10.5089/9781513530260.001","title":"Household Debt and House Prices-at-risk: A Tale of Two Countries","year":2020,"lang":"en","type":"article","venue":"IMF Working Paper","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; House price; Debt; Household debt; Monetary economics; Macroeconomics","score_opus":0.031805877622107986,"score_gpt":0.20613490593831493,"score_spread":0.17432902831620695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007528397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96232647,0.0019673891,0.00023245961,0.00072320615,0.00024521459,0.00012740881,0.000056538633,0.000112203685,0.034209114],"genre_scores_gemma":[0.9959683,0.0019985214,0.0007735074,0.00088410574,0.00018299592,0.0000066636835,0.0000028065742,0.000061460734,0.00012167044],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99882877,0.000010862042,0.0004913624,0.00037085885,0.000028216487,0.00026995604],"domain_scores_gemma":[0.99915653,0.00009963841,0.00039239298,0.0002315854,0.000009479817,0.000110353576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003110774,0.00015964164,0.00041667526,0.00007521255,0.00013296992,0.0000856842,0.00016459888,0.000082309845,0.00021950423],"category_scores_gemma":[0.00007421622,0.00018710847,0.00008466153,0.0001438875,0.000102017635,0.00017005383,0.00013290676,0.00013668642,0.00015610017],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009340417,0.000031293588,0.9814387,0.00006065628,0.00007647295,0.0000058077467,0.0020660793,0.00032274626,0.00007776529,0.011643199,0.0013828608,0.0028010234],"study_design_scores_gemma":[0.003240261,0.00017560081,0.119156994,0.00009600555,0.00006112582,0.000014909046,0.00013762795,0.0036880393,0.000570071,0.008301884,0.8634595,0.0010979516],"about_ca_topic_score_codex":0.0001717676,"about_ca_topic_score_gemma":0.000100280886,"teacher_disagreement_score":0.8622817,"about_ca_system_score_codex":0.000052659874,"about_ca_system_score_gemma":0.000014519986,"threshold_uncertainty_score":0.76300615},"labels":[],"label_agreement":null},{"id":"W3009102370","doi":"","title":"Household Borrowing in Historical Perspective","year":2017,"lang":"en","type":"article","venue":"Liberty Street Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Household debt; Quarter (Canadian coin); Debt; Deleveraging; Eleventh; Economics; Loan; Recession; Consumer debt; Trough (economics); Monetary economics; Finance; Macroeconomics; Geography","score_opus":0.04970862377786686,"score_gpt":0.2207581003295259,"score_spread":0.17104947655165903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009102370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64278316,0.00025658816,0.00018276086,0.0021720955,0.0015512679,0.00016348527,0.00008619551,0.00006497527,0.35273948],"genre_scores_gemma":[0.9955777,0.0007285023,0.00081213,0.00027446248,0.00036561192,0.000020556097,0.0000073614924,0.00007277796,0.0021409267],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99785405,0.000011645088,0.00081482495,0.0007532669,0.000015287427,0.00055093266],"domain_scores_gemma":[0.9979866,0.00006159798,0.0006415365,0.0011379647,0.000014552008,0.00015771175],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00053106586,0.00027221657,0.00069679104,0.0002800919,0.00034736545,0.00037862887,0.0008098222,0.00022520768,0.00012040135],"category_scores_gemma":[0.00022337593,0.00036796974,0.0002148263,0.000049520993,0.0000894694,0.0009986174,0.00023367406,0.00031250337,0.00024594174],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046342764,0.00014207528,0.6835173,0.00001345212,0.000049164726,0.000016706499,0.00059060176,0.00057592965,0.0000015169123,0.3104474,0.0022154546,0.0023840666],"study_design_scores_gemma":[0.0038641177,0.00015246606,0.38181978,0.000054586595,0.00002013509,0.0000127397425,0.0006703489,0.023945948,0.000082459024,0.2896723,0.29754072,0.002164401],"about_ca_topic_score_codex":0.0065768315,"about_ca_topic_score_gemma":0.0036106724,"teacher_disagreement_score":0.3527945,"about_ca_system_score_codex":0.0022559324,"about_ca_system_score_gemma":0.000050190378,"threshold_uncertainty_score":0.9998772},"labels":[],"label_agreement":null},{"id":"W3009409126","doi":"10.17576/jem-2019-5303-9","title":"Constructing an Enhanced House Price Index Model: Empirical Evidence","year":2019,"lang":"en","type":"article","venue":"Jurnal Ekonomi Malaysia","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Price index; Economics; Distributed lag; Quarter (Canadian coin); Econometrics; Hedonic index; House price; Supply and demand; Consumer price index (South Africa); Value (mathematics); Producer price index; Lag; Loan; Price level; Interest rate; Macroeconomics; Mid price; Monetary policy; Statistics; Computer science; Mathematics","score_opus":0.060027297507108474,"score_gpt":0.26501141586252336,"score_spread":0.20498411835541488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009409126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.922101,0.00011482159,0.010905442,0.00032287804,0.00067945645,0.00025350903,0.000017153994,0.00016263989,0.065443054],"genre_scores_gemma":[0.99717355,0.0001731515,0.0014609001,0.00047217857,0.0002797225,0.000016306243,0.000004635521,0.00009613408,0.00032339487],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997536,0.00003096327,0.00097491225,0.0007884643,0.000051724695,0.00061793457],"domain_scores_gemma":[0.99821496,0.0001445767,0.00063897076,0.0006826592,0.000047532263,0.00027130108],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008420984,0.0003021058,0.00068167184,0.0002874465,0.00012145651,0.00028738336,0.0005374081,0.0002280136,0.00032639888],"category_scores_gemma":[0.00014249688,0.00037076647,0.00019880506,0.0002244914,0.00008459039,0.0013819227,0.00015170255,0.0004364429,0.0014477981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020184282,0.000097957476,0.93170273,0.000052475796,0.000058512946,0.000004371332,0.00057609787,0.04149916,0.00017814116,0.020279368,0.00018733829,0.0051619913],"study_design_scores_gemma":[0.0011001464,0.00017460457,0.037133627,0.00008938351,0.000013253113,0.000034589626,0.00031054846,0.95263255,0.00026732343,0.0055056876,0.0018396113,0.0008986512],"about_ca_topic_score_codex":0.000063606734,"about_ca_topic_score_gemma":0.00002159773,"teacher_disagreement_score":0.9111334,"about_ca_system_score_codex":0.0004513343,"about_ca_system_score_gemma":0.00012748712,"threshold_uncertainty_score":0.9998744},"labels":[],"label_agreement":null},{"id":"W3009482314","doi":"","title":"Just Released: More Credit Cards, Higher Limits, and . . . an Uptick in Delinquency","year":2017,"lang":"en","type":"article","venue":"Liberty Street Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Credit card; Warrant; Debt; Economics; Household debt; Monetary economics; Juvenile delinquency; Business; Financial system; Finance; Geography","score_opus":0.05504787907181127,"score_gpt":0.2597322962544839,"score_spread":0.20468441718267263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009482314","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91215885,0.00041223937,0.000027131653,0.0015305596,0.0013399426,0.00022856111,0.00024506066,0.000058926682,0.08399871],"genre_scores_gemma":[0.9924792,0.0033159861,0.0013556671,0.0005481019,0.00072854466,0.000027455495,0.00007200075,0.00009415789,0.0013788793],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99744433,0.000017462422,0.00097461126,0.00093261746,0.000019998977,0.0006109926],"domain_scores_gemma":[0.99754035,0.000058282134,0.0006644781,0.0014131827,0.000022806094,0.00030089865],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00052059063,0.0003641662,0.000765225,0.00023815203,0.00035985603,0.00058369216,0.0007322084,0.0003388515,0.00024734045],"category_scores_gemma":[0.00011049146,0.00047008746,0.00012606147,0.00004598342,0.0002271239,0.0014690906,0.00019048322,0.00031462486,0.00018332222],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000795944,0.00017051767,0.8849623,0.00005731072,0.00007902497,0.000021552194,0.0005718406,0.00038829815,0.0000032309429,0.09499755,0.0022466993,0.016422043],"study_design_scores_gemma":[0.0032176557,0.00020951597,0.7624241,0.000055513832,0.000035599307,0.00001086723,0.00040162582,0.041830458,0.000047565776,0.047857404,0.14230885,0.0016008171],"about_ca_topic_score_codex":0.0032247344,"about_ca_topic_score_gemma":0.0036413628,"teacher_disagreement_score":0.14006215,"about_ca_system_score_codex":0.00022187976,"about_ca_system_score_gemma":0.00005744871,"threshold_uncertainty_score":0.9997751},"labels":[],"label_agreement":null},{"id":"W3009980400","doi":"","title":"Just Released: Student Loan Delinquency Rate Defies Overall Downward Trend in Household Debt and Credit Report for Fourth Quarter 2014","year":2015,"lang":"en","type":"article","venue":"Liberty Street Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Debt; Household debt; Loan; Equity (law); Panel data; Home equity; Business; Economics; Consumer debt; Monetary economics; Finance; Political science; Econometrics; Geography","score_opus":0.05295002102758595,"score_gpt":0.24109370688172377,"score_spread":0.18814368585413782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009980400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9779463,0.0005529207,0.001239482,0.0010316919,0.0012890598,0.00053051126,0.00040914968,0.00008444217,0.016916435],"genre_scores_gemma":[0.99165535,0.002014081,0.003641734,0.0006909513,0.00058905507,0.0001268637,0.00034953436,0.00012602004,0.00080638635],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99666035,0.000030380801,0.0016023032,0.0009905999,0.000028779692,0.00068755663],"domain_scores_gemma":[0.99800044,0.00014797473,0.00074239087,0.0007221128,0.000033787914,0.0003533066],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013037993,0.0004287286,0.0009369945,0.00037884456,0.00011795075,0.0003137966,0.0003537062,0.00029160158,0.000047920603],"category_scores_gemma":[0.00013557971,0.0005181918,0.0001996412,0.000080681646,0.000106886866,0.00073871046,0.00013645833,0.0002352496,0.00007031476],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047476613,0.0004484521,0.89327586,0.00012652966,0.00023425689,0.000077290846,0.0026046275,0.0083002,0.000003376804,0.041752815,0.04848592,0.0042159115],"study_design_scores_gemma":[0.017063634,0.0011672502,0.1429584,0.00010375769,0.00015284952,0.0001708412,0.0034021211,0.09947264,0.000056342993,0.16555811,0.565627,0.0042670774],"about_ca_topic_score_codex":0.0008509581,"about_ca_topic_score_gemma":0.00917283,"teacher_disagreement_score":0.75031745,"about_ca_system_score_codex":0.00038852255,"about_ca_system_score_gemma":0.00009550713,"threshold_uncertainty_score":0.99972695},"labels":[],"label_agreement":null},{"id":"W3010040277","doi":"","title":"Just Released: Auto Loans in High Gear","year":2019,"lang":"en","type":"article","venue":"Liberty Street Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Household debt; Loan; Debt; Quarter (Canadian coin); Financial system; Economics; Business; Monetary economics; Finance; Geography","score_opus":0.018293939771117835,"score_gpt":0.18873975352362676,"score_spread":0.17044581375250892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010040277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8304701,0.00010913892,0.00008509788,0.0006336488,0.0013408257,0.00029760468,0.00015789378,0.000081868544,0.1668238],"genre_scores_gemma":[0.9926986,0.00078797614,0.00095269294,0.0007833608,0.00021846867,0.000022290227,0.00008445788,0.00009794253,0.0043541812],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99723643,0.0000192728,0.0011467946,0.0008762705,0.00001905527,0.0007021535],"domain_scores_gemma":[0.99839646,0.00010714374,0.00044226128,0.0008649638,0.000013043806,0.00017612522],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005074579,0.00034076933,0.00083567644,0.0004081838,0.00006730859,0.00016114122,0.0005173016,0.00030110433,0.0018563255],"category_scores_gemma":[0.000042787407,0.0004547045,0.00020104052,0.00019120467,0.000060451137,0.0006506902,0.00015223933,0.00033685978,0.0062122764],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007315837,0.00016218139,0.76535374,0.000058696183,0.0000653073,0.0000074833956,0.00035125852,0.0033107598,0.0000043924797,0.22451074,0.001876187,0.004226098],"study_design_scores_gemma":[0.006045961,0.00029952114,0.29732448,0.000079123274,0.0000222742,0.000012285197,0.00054738106,0.11072712,0.00013613713,0.08746724,0.494744,0.002594489],"about_ca_topic_score_codex":0.0025113963,"about_ca_topic_score_gemma":0.0018755067,"teacher_disagreement_score":0.49286783,"about_ca_system_score_codex":0.00045201977,"about_ca_system_score_gemma":0.0000664351,"threshold_uncertainty_score":0.9997905},"labels":[],"label_agreement":null},{"id":"W3010236925","doi":"","title":"Just Released: Hints of Increased Hardship in America’s Oil-Producing Counties","year":2016,"lang":"en","type":"article","venue":"Liberty Street Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Deleveraging; Juvenile delinquency; Debt; Household debt; Great recession; Recession; Economics; Boom; Panel data; Rest (music); Quarter (Canadian coin); Demographic economics; Finance; Geography; Labour economics; Macroeconomics; Engineering; Sociology; Criminology","score_opus":0.0305246312216734,"score_gpt":0.20396369190747735,"score_spread":0.17343906068580395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010236925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9315508,0.0002038291,0.00017078068,0.00090885756,0.00065470545,0.00011037595,0.0004008755,0.000054193384,0.06594555],"genre_scores_gemma":[0.99378574,0.0030532975,0.00096831366,0.00032545775,0.00019264275,0.000022331391,0.000029350886,0.00007507623,0.001547795],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971954,0.000031154013,0.00140696,0.00077663193,0.000025362982,0.0005644878],"domain_scores_gemma":[0.9979186,0.00023516202,0.00084431376,0.0008216125,0.00003074085,0.00014956278],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00069070444,0.0003144585,0.00092473,0.0004504237,0.00006526769,0.00006535431,0.0004809524,0.00019595493,0.00052180135],"category_scores_gemma":[0.0003224555,0.00032431632,0.00019751283,0.00018107789,0.00020432835,0.00065891957,0.00013726034,0.00015704574,0.00041435077],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024609975,0.00026111313,0.9074419,0.00015453895,0.00013979741,0.000006660257,0.0009487806,0.00030666505,0.00008402817,0.036386542,0.0031145432,0.0509093],"study_design_scores_gemma":[0.013101926,0.0005469888,0.4740676,0.0007705998,0.00008664925,0.000020199346,0.0016734346,0.017152209,0.0041904254,0.0839191,0.39952436,0.004946505],"about_ca_topic_score_codex":0.003936688,"about_ca_topic_score_gemma":0.0011723185,"teacher_disagreement_score":0.43337435,"about_ca_system_score_codex":0.00042574204,"about_ca_system_score_gemma":0.00009210555,"threshold_uncertainty_score":0.9999209},"labels":[],"label_agreement":null},{"id":"W3010569932","doi":"","title":"Just Released: Cleaning Up Collections","year":2018,"lang":"en","type":"article","venue":"Liberty Street Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Credit card; Debt; Household debt; Business; Economics; Financial system; Finance; Geography","score_opus":0.03874902474396603,"score_gpt":0.21700224977674157,"score_spread":0.17825322503277555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010569932","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39813554,0.000072347095,0.0014484677,0.0004944228,0.0032406673,0.00019874249,0.00016696694,0.00018384191,0.596059],"genre_scores_gemma":[0.9738273,0.0006056795,0.0020505423,0.0010133318,0.0013378379,0.000027814207,0.000050379404,0.0001119983,0.020975139],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976682,0.000015991482,0.0009423445,0.00073813775,0.000015998457,0.0006193061],"domain_scores_gemma":[0.99848884,0.00008897935,0.00046221958,0.0006937977,0.00004087395,0.00022528025],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00041040985,0.00029761606,0.00055614876,0.00037044237,0.00061208766,0.00032022918,0.00041569595,0.00023287453,0.0018466451],"category_scores_gemma":[0.00010412487,0.00040220135,0.00021604037,0.00033207113,0.00020507739,0.0005413996,0.00014136855,0.00023042639,0.0029036344],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002728128,0.00033183116,0.1555813,0.00006603152,0.000471387,0.0000072230623,0.0025141137,0.000545802,0.000013112156,0.6337269,0.18559983,0.020869665],"study_design_scores_gemma":[0.0014892975,0.00024348994,0.005089411,0.000020742787,0.000025019295,0.000015329482,0.00052510545,0.039869435,0.0003003275,0.044924445,0.9064199,0.0010775],"about_ca_topic_score_codex":0.0007508966,"about_ca_topic_score_gemma":0.0017049925,"teacher_disagreement_score":0.72082007,"about_ca_system_score_codex":0.00032881342,"about_ca_system_score_gemma":0.0000706522,"threshold_uncertainty_score":0.999843},"labels":[],"label_agreement":null},{"id":"W3010592097","doi":"10.5539/ijef.v12n4p11","title":"A Changing Weights Spatial Forecast Combination Approach with an Application to Housing Price Prediction","year":2020,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"BATES; Computer science; Econometrics; Series (stratigraphy); House price; Focus (optics); Regression; Data mining; Statistics; Mathematics; Engineering","score_opus":0.0199223667360315,"score_gpt":0.19620568100603483,"score_spread":0.17628331427000332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010592097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81972796,0.00006133017,0.17485273,0.0013194683,0.00034398257,0.0001458271,0.000051506868,0.000009055269,0.003488135],"genre_scores_gemma":[0.9890605,0.0006516083,0.009163527,0.00045445364,0.00060531904,0.000008082623,0.000020733552,0.000023477147,0.000012302331],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989362,0.000007257873,0.0005877442,0.0002797799,0.00003065014,0.00015841171],"domain_scores_gemma":[0.9989682,0.000017124245,0.0007085329,0.000096493124,0.00011018105,0.00009948371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035919886,0.00012551315,0.0002755849,0.00027270117,0.00008002703,0.00016539474,0.0002565873,0.00006051977,0.0000066651883],"category_scores_gemma":[0.000025451636,0.00014015887,0.000052151343,0.000100685065,0.000028883176,0.00068400946,0.00005117241,0.000119400946,0.000011013347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021777854,0.00062768103,0.040052824,0.00005832431,0.00040920105,0.00001706946,0.009361314,0.16298255,0.000049903458,0.5432632,0.00016061879,0.24083954],"study_design_scores_gemma":[0.0017544371,0.00072178367,0.008725417,0.000034625915,0.000012231363,0.0000729029,0.00023263284,0.9410655,0.00012583149,0.013783882,0.03313349,0.00033725164],"about_ca_topic_score_codex":0.000028553703,"about_ca_topic_score_gemma":0.000014713008,"teacher_disagreement_score":0.77808297,"about_ca_system_score_codex":0.00013468177,"about_ca_system_score_gemma":0.000027842454,"threshold_uncertainty_score":0.57155126},"labels":[],"label_agreement":null},{"id":"W3010624104","doi":"","title":"Mind the Gap in Delinquency Rates","year":2019,"lang":"en","type":"article","venue":"Liberty Street Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Equity (law); Home equity; Debt; Economics; Household debt; Monetary economics; Juvenile delinquency; Finance; Political science; Geography","score_opus":0.03175962924040911,"score_gpt":0.21353028626497442,"score_spread":0.1817706570245653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010624104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8139733,0.00027013014,0.00006170779,0.0010478572,0.00092305435,0.00029068373,0.000056236313,0.000020011532,0.18335699],"genre_scores_gemma":[0.9945095,0.00096772914,0.00046299302,0.0007306526,0.00017254856,0.00002262428,0.00003119842,0.000052918385,0.0030498186],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979086,0.000021074606,0.00095566676,0.0005917017,0.00001343421,0.00050955254],"domain_scores_gemma":[0.99864423,0.0001677008,0.00037210243,0.0007173958,0.000012460607,0.0000861068],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007133925,0.00025044242,0.00052416703,0.00020445006,0.000077231736,0.00016394584,0.0005481577,0.00017872755,0.0013912681],"category_scores_gemma":[0.000049577244,0.00024981052,0.00016215473,0.00015676643,0.000073745156,0.000442572,0.00012020133,0.00026883662,0.004057116],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039028786,0.000082506194,0.87416345,0.000020433494,0.000050194267,0.000002351179,0.0005905261,0.0028881237,0.0000030739018,0.111308865,0.0010297399,0.009821682],"study_design_scores_gemma":[0.0034008215,0.00018511467,0.12279738,0.000052750944,0.000016524795,0.000013949799,0.0010589153,0.14853358,0.00020451681,0.14788611,0.573968,0.0018823416],"about_ca_topic_score_codex":0.00055185653,"about_ca_topic_score_gemma":0.0014941295,"teacher_disagreement_score":0.7513661,"about_ca_system_score_codex":0.00020610822,"about_ca_system_score_gemma":0.00004940866,"threshold_uncertainty_score":0.9999954},"labels":[],"label_agreement":null},{"id":"W3010651390","doi":"10.3846/ijspm.2020.12159","title":"DO HIGHER HOUSE PRICES INDICATE HIGHER SAFETY? PRICE VOLATILITY RISK IN MAJOR CITIES IN TAIWAN","year":2020,"lang":"en","type":"article","venue":"International Journal of Strategic Property Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Real estate; Quarter (Canadian coin); Overheating (electricity); Purchasing; Economics; House price; Market risk; Business; Monetary economics; Finance; Geography","score_opus":0.06090449157178764,"score_gpt":0.23598024898494993,"score_spread":0.17507575741316228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010651390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67246747,0.0006906724,0.00047668532,0.010593281,0.0014267189,0.0003512958,0.000048774236,0.000035093297,0.31391],"genre_scores_gemma":[0.99662876,0.0013017674,0.00076815777,0.00045331972,0.0002466995,0.0000075051366,0.0000032260064,0.000025988871,0.0005645545],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980213,0.000036959715,0.0012625325,0.00030984578,0.00012635194,0.00024301438],"domain_scores_gemma":[0.9987615,0.000021857693,0.0009238566,0.0001394469,0.000057627105,0.00009573308],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010095214,0.00017624465,0.0003934677,0.00045076496,0.000033609136,0.00022950096,0.0007023277,0.00007246332,0.00091649557],"category_scores_gemma":[0.000025701715,0.00014780916,0.000108247776,0.00022603934,0.000050135288,0.00056588894,0.0001585496,0.00035523542,0.00011181554],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028802906,0.0010509294,0.75712293,0.00030510293,0.0014110587,0.0009117516,0.004371157,0.005637706,0.000021576629,0.20315053,0.0021400952,0.020996852],"study_design_scores_gemma":[0.008394442,0.00038892924,0.69845265,0.00027877302,0.00004382527,0.0000131602865,0.0017416064,0.009494161,0.000018787716,0.11883204,0.16142339,0.00091822393],"about_ca_topic_score_codex":0.00019260336,"about_ca_topic_score_gemma":0.00004264274,"teacher_disagreement_score":0.32416132,"about_ca_system_score_codex":0.00039493132,"about_ca_system_score_gemma":0.00003538632,"threshold_uncertainty_score":0.9999968},"labels":[],"label_agreement":null},{"id":"W3011571077","doi":"","title":"Just Released: Looking under the Hood of the Subprime Auto Lending Market","year":2014,"lang":"en","type":"article","venue":"Liberty Street Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Debt; Household debt; Loan; Business; Monetary economics; Economics; Financial system; Finance; Geography","score_opus":0.02039413456025439,"score_gpt":0.1919000201949341,"score_spread":0.17150588563467972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011571077","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6969178,0.00014946164,0.0011490753,0.0019483936,0.0015990473,0.00026620412,0.00009732991,0.000056792513,0.29781592],"genre_scores_gemma":[0.99578226,0.0003349218,0.00028811468,0.0009885854,0.00033630693,0.0000139665435,0.0000094700745,0.00007591855,0.0021704435],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.997769,0.000065374705,0.0010545374,0.0005528208,0.000030382269,0.00052786595],"domain_scores_gemma":[0.9973976,0.00035686084,0.00091808144,0.0012046229,0.000020797639,0.00010206261],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012289813,0.0003034305,0.00059786177,0.00013577114,0.0003367702,0.00016355675,0.0009945807,0.00020018917,0.0004488455],"category_scores_gemma":[0.00012578364,0.00025348287,0.0003610025,0.0001715102,0.00021168223,0.00033038558,0.00031287625,0.0003267437,0.00014517411],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000084611405,0.00016021014,0.26730037,0.000096460135,0.00033271027,5.673654e-7,0.00071740424,0.004552979,0.0000148299605,0.7034607,0.0093336115,0.013945559],"study_design_scores_gemma":[0.0027872408,0.00013787848,0.23883966,0.00011109725,0.00011243321,0.000016538594,0.0011161795,0.17732733,0.0007404081,0.14054266,0.4366516,0.0016170102],"about_ca_topic_score_codex":0.00050978427,"about_ca_topic_score_gemma":0.0006183236,"teacher_disagreement_score":0.562918,"about_ca_system_score_codex":0.00021897488,"about_ca_system_score_gemma":0.000061094426,"threshold_uncertainty_score":0.9999917},"labels":[],"label_agreement":null},{"id":"W3011803470","doi":"10.1111/1540-6229.12312","title":"Institutional common ownership and firm value: Evidence from real estate investment trusts","year":2020,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Real estate investment trust; Diversification (marketing strategy); Equity (law); Enterprise value; Economics; Institutional investor; Portfolio; Real estate; Business; Value (mathematics); Financial economics; Asset (computer security); Monetary economics; Finance; Corporate governance","score_opus":0.07167382814687671,"score_gpt":0.23541039320318577,"score_spread":0.16373656505630907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011803470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84888166,0.00009080162,0.00007429536,0.0018967653,0.00044097364,0.00024349599,0.00042936968,0.00009476464,0.14784786],"genre_scores_gemma":[0.8640652,0.13199376,0.0021299112,0.0010894707,0.00037420526,0.000024449311,0.00018093242,0.00006748203,0.00007462582],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99741805,0.000042560365,0.0010737573,0.000916657,0.00003259846,0.0005163664],"domain_scores_gemma":[0.998246,0.00026743492,0.0005486736,0.00041216254,0.000018647745,0.0005070588],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00055073475,0.00036919388,0.0007607374,0.00012904369,0.00023365633,0.00027953298,0.00037344257,0.00019077503,0.00015169066],"category_scores_gemma":[0.000116830204,0.00045995976,0.00014215264,0.00012169075,0.0002508785,0.0008758393,0.00022405398,0.0002954896,0.0005571587],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011820171,0.00028583859,0.53996557,0.00034008324,0.00059969485,0.00012763056,0.019503815,0.03399322,0.00009669973,0.14509204,0.0025964046,0.25621694],"study_design_scores_gemma":[0.004243323,0.0006634582,0.25203577,0.0001656007,0.000109719775,0.000033389588,0.0008840473,0.47023776,0.0002353009,0.053767726,0.21472341,0.0029005026],"about_ca_topic_score_codex":0.010584389,"about_ca_topic_score_gemma":0.0010536911,"teacher_disagreement_score":0.43624455,"about_ca_system_score_codex":0.00047708568,"about_ca_system_score_gemma":0.00014892152,"threshold_uncertainty_score":0.9997852},"labels":[],"label_agreement":null},{"id":"W3011819882","doi":"10.63642/1357-1419.1224","title":"Nationwide mass appraisal modeling in China: feasibility analysis for scalability given ad valorem property tax reform","year":2020,"lang":"en","type":"article","venue":"Journal of Property Tax Assessment & Administration","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ad valorem tax; China; Property tax; Scalability; Tax reform; Economics; Property (philosophy); Public economics; Microeconomics; Political science; Computer science","score_opus":0.09011703954462436,"score_gpt":0.30825242289062366,"score_spread":0.2181353833459993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011819882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5790808,0.00006817766,0.39257345,0.017360767,0.00046922796,0.0010357061,0.0001737761,0.000030929557,0.009207131],"genre_scores_gemma":[0.97626483,0.0000826165,0.023064034,0.00011044211,0.0002116685,0.000033491,0.000055228105,0.000026077496,0.0001516286],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99692994,0.00008118167,0.0020271598,0.0005188942,0.00013439676,0.00030840456],"domain_scores_gemma":[0.99791,0.00005948383,0.0013235911,0.000279177,0.00023209049,0.00019561182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030339928,0.00024338662,0.00085567875,0.00030023037,0.00014505125,0.00024325136,0.0003330471,0.00016180659,0.000101927755],"category_scores_gemma":[0.00065093866,0.00017244293,0.00043085107,0.0005093902,0.000047993337,0.0010855951,0.000041595336,0.00038858943,0.0000074442064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003391143,0.0024323768,0.8493341,0.0008776274,0.0015011496,0.00002754376,0.0024420235,0.12179165,0.0014122603,0.0031737275,0.00073488476,0.012881513],"study_design_scores_gemma":[0.0014495058,0.0008393049,0.056868337,0.000026609074,0.00010963414,0.000004485914,0.00036219053,0.9345524,0.00010659218,0.0031413634,0.00220187,0.00033775097],"about_ca_topic_score_codex":0.00018745635,"about_ca_topic_score_gemma":0.0005086273,"teacher_disagreement_score":0.8127607,"about_ca_system_score_codex":0.0009427638,"about_ca_system_score_gemma":0.00042360494,"threshold_uncertainty_score":0.7032019},"labels":[],"label_agreement":null},{"id":"W3012911158","doi":"10.5267/j.msl.2020.3.007","title":"A study of factors influencing the price of apartments: Evidence from Vietnam","year":2020,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Marketing","score_opus":0.058350004534967054,"score_gpt":0.2337879075102048,"score_spread":0.17543790297523776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012911158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99271256,0.000035879963,0.00075544085,0.0021433525,0.00018193964,0.0003865914,0.000006756267,0.00001480924,0.0037626554],"genre_scores_gemma":[0.9983038,0.000036914847,0.0002935199,0.0013193425,0.000022028993,0.000009697723,5.770471e-7,0.0000073951337,0.0000067606666],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99871266,0.000015324611,0.00052758656,0.00041574205,0.00010300356,0.00022567739],"domain_scores_gemma":[0.9990274,0.00006532488,0.00044570945,0.0003977103,0.0000089734085,0.000054928976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007161341,0.00010860191,0.00025567506,0.00014344382,0.0001315979,0.000074379845,0.00089998794,0.0000134022675,0.000059220863],"category_scores_gemma":[0.00009856146,0.0000956314,0.00005361544,0.0006788335,0.00021044166,0.00050481333,0.00031601507,0.00006983178,0.00003839352],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018387878,0.000098122,0.97585005,0.00004166444,0.000079196594,0.0000027906926,0.01876522,0.0022722033,0.00091949786,0.0010926145,0.000341496,0.00051875523],"study_design_scores_gemma":[0.00063213514,0.00019136842,0.9798545,0.000058594283,0.00003645574,9.511352e-8,0.013442485,0.0032906218,0.00061764737,0.00039007846,0.0011902052,0.00029577588],"about_ca_topic_score_codex":0.00029672208,"about_ca_topic_score_gemma":0.000009330163,"teacher_disagreement_score":0.0055911886,"about_ca_system_score_codex":0.00007446637,"about_ca_system_score_gemma":0.000005209718,"threshold_uncertainty_score":0.38997355},"labels":[],"label_agreement":null},{"id":"W3014351829","doi":"10.5539/ijef.v12n5p1","title":"An Improved Approach for Constructing the Real Estate Price Index with Bargaining Effect","year":2020,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Index (typography); Real estate; Bargaining power; Microeconomics; Price index; Bargaining problem; Work (physics); Econometrics; Computer science; Finance","score_opus":0.01919583345113353,"score_gpt":0.2164795364036251,"score_spread":0.1972837029524916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014351829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96392363,0.00008039834,0.017948916,0.00082830334,0.00034668992,0.00018599015,0.000060677132,0.000006535036,0.016618827],"genre_scores_gemma":[0.98425204,0.003492729,0.011448649,0.000288323,0.00047083883,0.000008146927,0.0000066573243,0.000024628094,0.000007996722],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989379,0.000011913784,0.0006140566,0.00024619634,0.000016797876,0.00017310967],"domain_scores_gemma":[0.99863166,0.00013218379,0.0009804295,0.00010683355,0.000081486105,0.00006743951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007446706,0.00013844686,0.00035897223,0.0000758636,0.00008969952,0.00023098,0.00040334434,0.00005632948,0.0000049452747],"category_scores_gemma":[0.00007427731,0.00011771567,0.00008827823,0.000042057436,0.0000878291,0.00046308537,0.00004128399,0.00017503908,0.0000014184922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005423579,0.00020838708,0.21014132,0.000096325144,0.0013058092,0.000024987676,0.0071718167,0.15731248,0.00011118941,0.30226573,0.00017703562,0.31576133],"study_design_scores_gemma":[0.0033681837,0.0009997509,0.0030860729,0.000019827221,0.000019100342,0.00012141701,0.0005337508,0.9662296,0.00011734229,0.0056681475,0.019458488,0.00037828382],"about_ca_topic_score_codex":0.000037666472,"about_ca_topic_score_gemma":0.000008087177,"teacher_disagreement_score":0.80891716,"about_ca_system_score_codex":0.00006433717,"about_ca_system_score_gemma":0.00005149762,"threshold_uncertainty_score":0.48003054},"labels":[],"label_agreement":null},{"id":"W3015243044","doi":"10.3386/w16784","title":"Speculators and Middlemen: The Strategy and Performance of Investors in the Housing Market","year":2011,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Speculation; Business; Monetary economics; Economics; Financial economics; Financial system; Finance","score_opus":0.4250320783113224,"score_gpt":0.4146390544601406,"score_spread":0.010393023851181793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015243044","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40632412,0.0014618062,3.6145934e-7,0.0001568943,0.00015643997,0.0003659626,0.000052819967,0.0000023496405,0.59147924],"genre_scores_gemma":[0.9860216,0.012529208,0.00005459911,0.000022604807,0.00021299286,0.00004077028,0.000026187025,0.000032085878,0.0010599943],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977807,0.0001113836,0.0011325642,0.0004528574,0.00018216502,0.00034037366],"domain_scores_gemma":[0.9980804,0.00064021087,0.00068975205,0.0003611918,0.00017565452,0.000052820513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012901382,0.00020119447,0.00058925664,0.0007807805,0.00014201314,0.00008890591,0.00050609454,0.00025787723,0.0002872966],"category_scores_gemma":[0.00036094902,0.00016853363,0.0000889128,0.00018437432,0.0006552522,0.00021308816,0.00018225252,0.0006041478,0.000014840637],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015812145,0.000105880164,0.349713,0.00072799966,0.00022215555,0.0000025386425,0.0011929976,0.00017384537,0.0000023998234,0.6286594,0.013207468,0.005834159],"study_design_scores_gemma":[0.0012451195,0.00051420904,0.28267637,0.00033342405,0.000028031058,0.00006229171,0.0010653323,0.009133813,0.00003655532,0.63224536,0.07183695,0.00082250824],"about_ca_topic_score_codex":0.002710697,"about_ca_topic_score_gemma":0.0006223311,"teacher_disagreement_score":0.59041923,"about_ca_system_score_codex":0.0004405119,"about_ca_system_score_gemma":0.000639948,"threshold_uncertainty_score":0.6872602},"labels":[],"label_agreement":null},{"id":"W3015301820","doi":"10.1016/j.worlddev.2020.104965","title":"Value of cleaner neighborhoods: Application of hedonic price model in low income context","year":2020,"lang":"en","type":"article","venue":"World Development","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"City, University of London; International Development Research Centre; North Carolina Central University","keywords":"Metropolitan area; Context (archaeology); Property value; Sample (material); Value (mathematics); Property tax; Business; Household waste; Hedonic pricing; Municipal solid waste; Survey data collection; Agricultural economics; Economics; Geography; Finance; Econometrics; Waste management; Engineering","score_opus":0.022274748802421345,"score_gpt":0.2051843575952031,"score_spread":0.18290960879278176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015301820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8923062,0.00030208883,0.043181688,0.00075021834,0.00011688073,0.00040459263,0.000020730391,0.000029181527,0.062888436],"genre_scores_gemma":[0.9929497,0.00005509114,0.0064477324,0.00033591216,0.000017998893,0.000021912065,0.000009286689,0.000019156274,0.00014320185],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985286,0.000007711837,0.0009626968,0.00028499632,0.000031870582,0.0001841049],"domain_scores_gemma":[0.99926627,0.00003419303,0.00042385704,0.00018785024,0.000021287304,0.00006653808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003745072,0.000116674026,0.00042280287,0.00021881566,0.000021773982,0.000010003581,0.00021522146,0.000048803566,0.000066040186],"category_scores_gemma":[0.000035368208,0.00014604125,0.000051825275,0.00037186756,0.000030345002,0.00009898715,0.00008719165,0.00009398656,0.00011496426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018693217,0.00035146865,0.57882476,0.0005591394,0.00010234714,0.0000015511612,0.0076562185,0.07282931,0.00013409296,0.2964014,0.00028917062,0.04266358],"study_design_scores_gemma":[0.0018919719,0.000048359165,0.18570262,0.00012068049,0.000005921581,5.763157e-7,0.0001657537,0.7668971,0.0025051031,0.014636746,0.027346037,0.00067916594],"about_ca_topic_score_codex":0.00006715747,"about_ca_topic_score_gemma":0.00013896958,"teacher_disagreement_score":0.6940678,"about_ca_system_score_codex":0.00015890601,"about_ca_system_score_gemma":0.00008597749,"threshold_uncertainty_score":0.5955389},"labels":[],"label_agreement":null},{"id":"W3016935839","doi":"10.24149/gwp380","title":"Why is the Hong Kong Housing Market Unaffordable? Some Stylized Facts and Estimations","year":2020,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"City University of Hong Kong","keywords":"Stylized fact; Economics; Investment (military); Consumption (sociology); Wage; Quarter (Canadian coin); Population; Real gross domestic product; Subsidy; Renting; Labour economics; Monetary economics; Macroeconomics; Market economy; Politics","score_opus":0.03921484216245519,"score_gpt":0.21158712000486335,"score_spread":0.17237227784240816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016935839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5492411,0.00080627535,0.013737485,0.071564995,0.00046865718,0.00053381274,0.00012353917,0.0002405112,0.36328357],"genre_scores_gemma":[0.97844255,0.00061726815,0.0031794296,0.016936027,0.00015473137,0.0000064432174,0.000007371459,0.000041702708,0.0006144511],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988563,0.000014981941,0.0004433195,0.0003636023,0.000023698096,0.0002980675],"domain_scores_gemma":[0.99927974,0.00013337149,0.00018728197,0.00024777302,0.000013759215,0.00013807986],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00037167032,0.0001664491,0.00032189634,0.00008234186,0.00031429215,0.00034676775,0.00019851554,0.00007751535,0.0016971887],"category_scores_gemma":[0.00014584216,0.00015380388,0.000083885825,0.00017332738,0.00007945965,0.00054548855,0.00012281626,0.0001439275,0.00022537909],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018878414,0.00016265346,0.17674981,0.0003099679,0.0004744154,0.000014311121,0.009163105,0.0015127214,0.00007615884,0.29384613,0.49287727,0.024624664],"study_design_scores_gemma":[0.0019489535,0.000091758564,0.022463197,0.000032340555,0.000040998217,0.0000075925623,0.0011105415,0.47093412,0.00019110682,0.06949801,0.43263754,0.0010438497],"about_ca_topic_score_codex":0.00024667245,"about_ca_topic_score_gemma":0.000060758815,"teacher_disagreement_score":0.4694214,"about_ca_system_score_codex":0.00004170384,"about_ca_system_score_gemma":0.000017281904,"threshold_uncertainty_score":0.9992154},"labels":[],"label_agreement":null},{"id":"W3018155146","doi":"10.1057/s41599-020-0444-1","title":"Land and building separation based on Shapley values","year":2020,"lang":"en","type":"article","venue":"Palgrave Communications","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Apportionment; Shapley value; Depreciation (economics); Quality (philosophy); Value (mathematics); Work (physics); Land use; Computer science; Environmental economics; Game theory; Economics; Microeconomics; Mathematics; Statistics; Civil engineering; Law","score_opus":0.0832459823102467,"score_gpt":0.2827749141766978,"score_spread":0.1995289318664511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3018155146","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3914608,0.0021961478,0.03324115,0.058342736,0.0002520612,0.0006641492,0.00026705832,0.0003144132,0.5132615],"genre_scores_gemma":[0.9913173,0.000582558,0.0067190877,0.0012534992,0.000042293024,0.000016333466,0.00004574919,0.00001502511,0.000008167625],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993895,0.000024716328,0.0002647074,0.00019277068,0.000013574702,0.000114723916],"domain_scores_gemma":[0.99910784,0.00013682613,0.00012510762,0.0005368729,0.000014216178,0.0000791401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024043814,0.00008552707,0.00016778558,0.00007457413,0.0002180345,0.0000946447,0.00028646033,0.000048376332,0.000066322355],"category_scores_gemma":[0.00014323732,0.00010717631,0.000042073716,0.00011328136,0.00007333806,0.000043420252,0.00009700328,0.00011945145,0.00017268508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032139153,0.000056144912,0.26067898,0.000034287394,0.00003804415,5.080029e-7,0.0011612307,0.0013486866,0.00009737726,0.730391,0.0006036844,0.00555791],"study_design_scores_gemma":[0.0005534546,0.00008596654,0.037387062,0.00001895094,0.0000098488035,5.9768297e-7,0.000046173773,0.83818424,0.00006183717,0.07893067,0.044422645,0.00029858184],"about_ca_topic_score_codex":0.000071820585,"about_ca_topic_score_gemma":0.00003178122,"teacher_disagreement_score":0.8368355,"about_ca_system_score_codex":0.00003925989,"about_ca_system_score_gemma":0.0000095672385,"threshold_uncertainty_score":0.4370523},"labels":[],"label_agreement":null},{"id":"W3018847380","doi":"10.4000/ethiquepublique.5021","title":"Impôt foncier et territoire : équité environnementale et modèle social – Une étude de cas de la Ville de Québec","year":2019,"lang":"fr","type":"article","venue":"Éthique Publique","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Physics; Art","score_opus":0.011510595395230569,"score_gpt":0.22388703100724097,"score_spread":0.21237643561201042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3018847380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78187215,0.0016773803,0.0031521362,0.056981467,0.00070915767,0.00038310236,0.00027366815,0.00008237767,0.15486857],"genre_scores_gemma":[0.9644692,0.0025861566,0.0029544483,0.019943686,0.0005511151,0.00010040349,0.000074922704,0.00015997667,0.009160073],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99684966,0.00039229917,0.0007948458,0.0007117016,0.00005654875,0.0011949422],"domain_scores_gemma":[0.9983447,0.00037528737,0.00048062432,0.00048635056,0.000035386845,0.00027765866],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004273107,0.0004258865,0.00070041406,0.00026445955,0.00030418477,0.0005175892,0.00055052404,0.0010482069,0.0018206337],"category_scores_gemma":[0.00024092973,0.0006196694,0.00036986524,0.0002232706,0.0003072277,0.00086327654,0.00031104955,0.0011179367,0.0004922059],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081685466,0.00061698264,0.30800146,0.00028029058,0.00022044008,0.00004443369,0.017310059,0.0018846414,0.00033580817,0.6518359,0.013414842,0.0059734276],"study_design_scores_gemma":[0.0018582036,0.0001772309,0.08216969,0.00009422116,0.000040600906,0.0001497281,0.0016128119,0.01960768,0.00035771527,0.04925012,0.84350884,0.001173141],"about_ca_topic_score_codex":0.091308996,"about_ca_topic_score_gemma":0.10026684,"teacher_disagreement_score":0.83009404,"about_ca_system_score_codex":0.0032942307,"about_ca_system_score_gemma":0.0015022403,"threshold_uncertainty_score":0.99962544},"labels":[],"label_agreement":null},{"id":"W3020393551","doi":"10.22313/reik.2020.18.1.239","title":"Dynamic Analysis of decisive factors in Fluctuation of the Real Estate Trust Deposit(Principal)","year":2020,"lang":"en","type":"article","venue":"Residential Environment Institute Of Korea","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Database transaction; Real estate investment trust; Capitalization rate; Quarter (Canadian coin); Volatility (finance); Index (typography); Interest rate; Price index; Economics; Econometrics; Financial economics; Business; Monetary economics; Finance; Geography; Computer science","score_opus":0.01874877907425864,"score_gpt":0.2059511891040853,"score_spread":0.18720241002982665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3020393551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99283075,0.000030729956,0.0018087478,0.000076544,0.00013541346,0.0001634987,0.00012304574,0.0000040024656,0.004827288],"genre_scores_gemma":[0.99696124,0.0025728992,0.0003708405,0.000007984585,0.000007795391,0.000002976731,0.00004567786,0.000011678994,0.00001889194],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985348,0.000018207467,0.0009565231,0.00027209448,0.000074499636,0.00014390149],"domain_scores_gemma":[0.99884135,0.00003286835,0.0007489338,0.0003189681,0.000007137223,0.000050719776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021014128,0.00012606898,0.00055429945,0.00027708372,0.000033487362,0.0000106954385,0.0002964066,0.000080685044,0.00011762019],"category_scores_gemma":[0.00008193975,0.00012678812,0.00025991493,0.00038875532,0.0001659751,0.00019098993,0.00012755772,0.00008317187,0.000008401476],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009128801,0.000105292085,0.84987473,0.0000577048,0.00045064892,0.0000022354193,0.0022304717,0.14039487,0.0026860698,0.0022538388,0.0000041158255,0.0018487438],"study_design_scores_gemma":[0.00042544072,0.00004296916,0.9571295,0.000014172245,0.00016603828,1.4507542e-7,0.00012272503,0.036844693,0.004423035,0.0004364171,0.0002549363,0.0001399403],"about_ca_topic_score_codex":0.004810291,"about_ca_topic_score_gemma":0.0017291834,"teacher_disagreement_score":0.107254766,"about_ca_system_score_codex":0.00014606466,"about_ca_system_score_gemma":0.000022504128,"threshold_uncertainty_score":0.7271753},"labels":[],"label_agreement":null},{"id":"W3020582230","doi":"10.1123/cssm.2019-0030","title":"Financing Improvements and Expansion: A Case of the Sunnyhill Health &amp; Racquet Club","year":2020,"lang":"en","type":"article","venue":"Case Studies in Sport Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Club; Debt; Finance; Revenue; Business; Economics; Medicine","score_opus":0.06506392366407167,"score_gpt":0.280559244501203,"score_spread":0.21549532083713135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3020582230","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876661,0.0023274457,0.000104932,0.0016661811,0.00049963297,0.00054373353,0.000031640015,0.000015904292,0.00714446],"genre_scores_gemma":[0.99408907,0.0035517255,0.0006785562,0.0013276964,0.000050298437,0.000030878615,0.000002565714,0.000016885595,0.00025231802],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985624,0.0000091586,0.0007512182,0.00039455076,0.00002359851,0.00025905893],"domain_scores_gemma":[0.9991897,0.000018245186,0.00039002087,0.00032389237,0.000014880182,0.00006327768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000689102,0.00015212796,0.0004998434,0.00009279205,0.0001751464,0.000016138527,0.00010513912,0.000030638694,0.000026508644],"category_scores_gemma":[0.0000402611,0.00013233202,0.00006923966,0.00022878611,0.000108595246,0.00008954543,0.00049080944,0.00010150038,0.000011573756],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000292977,0.00057783857,0.586967,0.006748299,0.0013182876,0.0348556,0.07002598,0.0015923443,0.000002571121,0.082113974,0.036166675,0.17933843],"study_design_scores_gemma":[0.012407498,0.0008678925,0.053615417,0.0010412224,0.00020664459,0.0061883987,0.07945257,0.009000508,0.000041100688,0.02412312,0.8099395,0.0031161308],"about_ca_topic_score_codex":0.00054331566,"about_ca_topic_score_gemma":0.00066206616,"teacher_disagreement_score":0.77377284,"about_ca_system_score_codex":0.00014365852,"about_ca_system_score_gemma":0.000010523025,"threshold_uncertainty_score":0.5396343},"labels":[],"label_agreement":null},{"id":"W3020999167","doi":"10.1007/s10836-005-1105-4","title":"Assessing the Efficiency of an Insurance Provider—A Measurement Error Approach","year":2005,"lang":"en","type":"article","venue":"The Geneva Risk and Insurance Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Actuarial science; Auto insurance risk selection; Measure (data warehouse); Heteroscedasticity; Property insurance; Econometrics; Economics; Insurance policy; Insurance industry; Business; General insurance; Computer science; Data mining","score_opus":0.07507152794543168,"score_gpt":0.27330478589077134,"score_spread":0.19823325794533966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3020999167","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6453969,0.33420274,0.001439378,0.00086718245,0.00016493889,0.00072537875,0.000039934264,0.000026129585,0.017137427],"genre_scores_gemma":[0.74407434,0.2546264,0.0007584677,0.00035519953,0.00011351467,0.000037292244,0.0000019549518,0.000017724267,0.000015102791],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9982581,0.00014464853,0.00084911636,0.0003749773,0.00008361692,0.00028952362],"domain_scores_gemma":[0.99839866,0.000054750137,0.0007417601,0.00068275485,0.000061725266,0.000060346592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047882744,0.00019946879,0.0005759134,0.00004403911,0.00035406716,0.00010611576,0.000461124,0.000053386928,0.000023821602],"category_scores_gemma":[0.00019919388,0.00012963443,0.00013412647,0.00024854872,0.00018200034,0.00045997478,0.00005979047,0.0002093872,0.00003888514],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017177388,0.0002624175,0.07585076,0.0016914497,0.00007000104,3.047388e-7,0.0009130204,0.00070334686,0.000031490872,0.0023866373,0.00028855685,0.9177848],"study_design_scores_gemma":[0.0018727371,0.0002591001,0.48762617,0.002364345,0.00017520049,0.00008100226,0.00043587037,0.0405622,0.0003613678,0.0060839695,0.45859984,0.0015781942],"about_ca_topic_score_codex":0.0000965578,"about_ca_topic_score_gemma":0.000024560864,"teacher_disagreement_score":0.91620666,"about_ca_system_score_codex":0.00005979425,"about_ca_system_score_gemma":0.000041371877,"threshold_uncertainty_score":0.5286339},"labels":[],"label_agreement":null},{"id":"W3022086884","doi":"10.1108/ijhma-02-2020-0018","title":"Drivers of housing purchasing decisions: a data-driven analysis","year":2020,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Real estate; Originality; Purchasing; Value (mathematics); Marketing; Control (management); Business; Actuarial science; Computer science; Operations research; Engineering; Finance; Qualitative research; Sociology","score_opus":0.055911305575834486,"score_gpt":0.2661472073142631,"score_spread":0.21023590173842863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022086884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8828381,0.0006696899,0.11172301,0.001790963,0.00030003974,0.000043424774,0.00019140731,0.000013222106,0.0024301994],"genre_scores_gemma":[0.98671144,0.0021832543,0.010556706,0.0002591618,0.00021348464,2.3579662e-7,0.00004617143,0.00001865202,0.000010896222],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978119,0.00004649148,0.0013911648,0.00038945928,0.00017194611,0.00018905386],"domain_scores_gemma":[0.9973214,0.00024171335,0.0017166192,0.00030326797,0.00024353493,0.00017343006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011377317,0.00017291549,0.0009808878,0.0021391218,0.000091710586,0.0002507336,0.0008129696,0.000078982266,0.00025935165],"category_scores_gemma":[0.0006439133,0.00018234944,0.00058248243,0.0015067811,0.00010274465,0.0006420341,0.00030898492,0.00018535875,0.000005015244],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004120198,0.0001671906,0.8819721,0.000019678831,0.027999878,0.000120332305,0.0013710584,0.0412888,0.00011998815,0.0012975265,0.0003820387,0.04484942],"study_design_scores_gemma":[0.0017182234,0.000114198534,0.09550599,0.00010809096,0.0058978493,0.000022561491,0.0007783961,0.88063097,0.00005405712,0.0022200926,0.01232587,0.0006237271],"about_ca_topic_score_codex":0.000096939366,"about_ca_topic_score_gemma":0.000049973823,"teacher_disagreement_score":0.8393421,"about_ca_system_score_codex":0.00008861299,"about_ca_system_score_gemma":0.000047354974,"threshold_uncertainty_score":0.7435994},"labels":[],"label_agreement":null},{"id":"W3022666611","doi":"10.2139/ssrn.3549278","title":"The Total Return and Risk to Residential Real Estate","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Real estate; Business; Residential real estate; Risk–return spectrum; Finance; Actuarial science; Portfolio","score_opus":0.010318710447905707,"score_gpt":0.19638141595041705,"score_spread":0.18606270550251136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022666611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9714247,0.0006544208,0.0017134643,0.005155477,0.0003313739,0.0000969933,0.000012690974,0.000023074888,0.020587824],"genre_scores_gemma":[0.86667246,0.13192612,0.000085306514,0.00009640354,0.0005641351,0.000002462302,0.000001068799,0.000026682555,0.00062537653],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99800396,0.000031735508,0.0004380479,0.00025062618,0.000030620562,0.0012450253],"domain_scores_gemma":[0.9993371,0.000058152604,0.00026741342,0.00013596083,0.000017038086,0.00018433528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018851142,0.00012121856,0.00021208987,0.000058086207,0.0004853214,0.00028566018,0.0002198747,0.000054856053,0.00002548357],"category_scores_gemma":[0.000208185,0.00011190834,0.00008539064,0.000115909876,0.000041599276,0.0001740044,0.00007853293,0.0009837435,0.00015049103],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00123461,0.000054425174,0.21230678,0.000017850729,0.0008409374,0.000020030273,0.0063504027,0.000659882,0.00009281321,0.3811991,0.004847135,0.39237604],"study_design_scores_gemma":[0.002947091,0.0017361529,0.046891153,0.000016419881,0.000080568825,0.00052640156,0.0047862665,0.016865427,0.000053653326,0.79564196,0.1291979,0.0012570323],"about_ca_topic_score_codex":0.00063106103,"about_ca_topic_score_gemma":0.0017583397,"teacher_disagreement_score":0.41444284,"about_ca_system_score_codex":0.00028940605,"about_ca_system_score_gemma":0.00021055386,"threshold_uncertainty_score":0.45634896},"labels":[],"label_agreement":null},{"id":"W3023236827","doi":"10.1111/iere.12225","title":"SCREENING AS A UNIFIED THEORY OF DELINQUENCY, RENEGOTIATION, AND BANKRUPTCY","year":2017,"lang":"en","type":"article","venue":"International Economic Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; Western University","funders":"","keywords":"Bankruptcy; Juvenile delinquency; Restructuring; Economics; Endowment; Adverse selection; Economic interventionism; Government (linguistics); Foreclosure; Private information retrieval; Monetary economics; Microeconomics; Finance; Computer security; Criminology","score_opus":0.05637133200681425,"score_gpt":0.28585834452739983,"score_spread":0.2294870125205856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023236827","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12884155,0.021501027,0.0027991491,0.005807525,0.0017546668,0.00041754442,0.00016920372,0.000035077006,0.83867425],"genre_scores_gemma":[0.87189525,0.12498701,0.001207282,0.0006954696,0.00018776543,0.000017672632,0.000028971444,0.000024544628,0.0009560151],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99866444,0.000016756643,0.00084810343,0.0003204953,0.0000191173,0.00013109663],"domain_scores_gemma":[0.9982332,0.00007465826,0.0011164813,0.00048367967,0.000033643282,0.000058325277],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012818304,0.00012805406,0.00045001233,0.00010617369,0.00012753913,0.00012577171,0.00053357397,0.000058670103,0.0016317822],"category_scores_gemma":[0.00046596234,0.00015315608,0.00012300914,0.000013154125,0.00011220927,0.00047964448,0.00014180603,0.00007792935,0.00038096923],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028413673,0.000022598098,0.039969888,0.00023096422,0.00017449658,0.0000018978084,0.000081268896,0.000045867815,0.0000036381182,0.8447043,0.0012643593,0.11347235],"study_design_scores_gemma":[0.0013788658,0.00006713431,0.051926788,0.0015800791,0.00005297535,0.00005080835,0.000045289908,0.006109515,0.000064617896,0.42316678,0.5148092,0.0007479362],"about_ca_topic_score_codex":0.0002924575,"about_ca_topic_score_gemma":0.000032276075,"teacher_disagreement_score":0.83771825,"about_ca_system_score_codex":0.00007978,"about_ca_system_score_gemma":0.00003432858,"threshold_uncertainty_score":0.99928087},"labels":[],"label_agreement":null},{"id":"W3023465892","doi":"10.5539/mas.v14n5p63","title":"Strategically Measuring Quality of Existing Building Stock","year":2020,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Process management; Asset management; Corporation; Strategic planning; Business; Quality (philosophy); Computer science; Stock (firearms); Strategic management; Operations management; Risk analysis (engineering); Operations research; Finance; Marketing; Economics; Engineering","score_opus":0.2759259329496193,"score_gpt":0.29674168843799514,"score_spread":0.02081575548837583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023465892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5577167,0.00003681901,0.16963343,0.00012544714,0.0000688437,0.00009795783,0.000008445423,0.000045138266,0.27226716],"genre_scores_gemma":[0.9913264,0.000008033276,0.008405634,0.00016476634,0.00005977901,0.000005395648,6.0697187e-7,0.000013582564,0.000015803336],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99834085,0.0000061573096,0.00066529046,0.00056106126,0.00008159054,0.00034502798],"domain_scores_gemma":[0.9991171,0.000045611032,0.00039132757,0.00025185992,0.00003153905,0.00016256784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017945878,0.000118245196,0.00036378668,0.00009628677,0.00019584401,0.00012089946,0.000551844,0.00004710021,0.0000485522],"category_scores_gemma":[0.00019909583,0.00014447556,0.00005933733,0.0003849903,0.00024253441,0.00022780613,0.0001630707,0.00013401704,0.00005253059],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005416052,0.000049341732,0.011217362,0.00009868228,0.000012010576,8.2725467e-7,0.0021890614,0.004234329,0.23611559,0.73264724,0.000011270213,0.013370142],"study_design_scores_gemma":[0.00089281856,0.00006331389,0.015876072,0.00002212922,0.0000047497047,0.0000012340622,0.0002767032,0.7602419,0.011212976,0.20965138,0.00094343023,0.0008132571],"about_ca_topic_score_codex":0.00004959666,"about_ca_topic_score_gemma":0.0000047980934,"teacher_disagreement_score":0.7560076,"about_ca_system_score_codex":0.00008354317,"about_ca_system_score_gemma":0.00006529124,"threshold_uncertainty_score":0.58915424},"labels":[],"label_agreement":null},{"id":"W3023809336","doi":"10.1504/ijbaf.2014.061440","title":"Comovement and FTSE 100 index changes","year":2014,"lang":"en","type":"article","venue":"International Journal of Behavioural Accounting and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Univariate; Bivariate analysis; Index (typography); Econometrics; Economics; Complement (music); Financial economics; Statistics; Multivariate statistics; Mathematics; Computer science","score_opus":0.03117027908561796,"score_gpt":0.2267261989904111,"score_spread":0.19555591990479315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023809336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939417,0.0004324097,0.00073114166,0.0020093606,0.00087895716,0.000028199522,0.000012110635,0.000005905632,0.0019601872],"genre_scores_gemma":[0.99721175,0.0013740964,0.0005493031,0.00041173905,0.000297413,0.00000127353,0.0000018205718,0.000010376633,0.00014220743],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923664,0.000006489586,0.0004307425,0.00014241989,0.000050574632,0.0001331528],"domain_scores_gemma":[0.9991656,0.000038182443,0.0006122051,0.00006528146,0.00008767788,0.000031069252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006291785,0.000096670636,0.0002357222,0.00017408685,0.00006177983,0.00016448648,0.00018798641,0.00007173131,0.000025884809],"category_scores_gemma":[0.000068717236,0.00010194696,0.000043572003,0.000036368314,0.000052908246,0.00028816026,0.00007339946,0.00018978736,0.0000078085495],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039123115,0.000049243314,0.90572363,0.000006347068,0.0000309925,0.000007787649,0.00029004182,0.00003378203,0.00002679487,0.014892529,0.00028348237,0.078616254],"study_design_scores_gemma":[0.0017277298,0.00020334338,0.8791357,0.00013449264,0.00001475203,0.00018934201,0.00012596339,0.0074249785,0.00008627262,0.020338615,0.0902358,0.00038298927],"about_ca_topic_score_codex":0.00014027813,"about_ca_topic_score_gemma":0.000042176052,"teacher_disagreement_score":0.08995232,"about_ca_system_score_codex":0.000045475397,"about_ca_system_score_gemma":0.000007309951,"threshold_uncertainty_score":0.41572765},"labels":[],"label_agreement":null},{"id":"W3023829741","doi":"10.3390/jrfm14070287","title":"Volatility Spillover and International Contagion of Housing Bubbles","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Gouvernement du Québec; Université Laval","funders":"","keywords":"Spillover effect; Real estate; Economics; Volatility (finance); Monetary economics; Financial economics; Economic bubble; Bubble; Autoregressive conditional heteroskedasticity; Econometrics; Macroeconomics; Finance","score_opus":0.01462490965994063,"score_gpt":0.20246219935475748,"score_spread":0.18783728969481686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023829741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9720503,0.0019493437,0.017052941,0.00013090111,0.00069786946,0.000038304563,0.000025231682,0.0000024324481,0.008052688],"genre_scores_gemma":[0.98309976,0.014331501,0.0022992117,0.000051277944,0.00011800671,3.1089482e-7,0.0000012572683,0.0000056591775,0.00009302219],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924266,0.000011527851,0.0005109769,0.00012275571,0.00002607515,0.000086026936],"domain_scores_gemma":[0.99931306,0.00003132842,0.0004904912,0.00007644352,0.0000509533,0.000037738693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061875465,0.000068557696,0.00026868703,0.00013365825,0.000045489916,0.000044589964,0.00006314985,0.000039949955,0.00004537107],"category_scores_gemma":[0.000120204786,0.00007569317,0.000067144625,0.00006239387,0.000039473198,0.00017323284,0.000079247286,0.000087377695,0.000001665518],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012730811,0.000103317216,0.68443793,0.00007185282,0.00006774413,0.000031417654,0.0004437961,0.00004136072,0.000011031346,0.044268176,0.00037930405,0.27001673],"study_design_scores_gemma":[0.0016519054,0.00008259037,0.734859,0.00008727458,0.000048150345,0.000023283235,0.0003220583,0.0016741822,0.000059086804,0.07414693,0.18684642,0.0001991322],"about_ca_topic_score_codex":0.00003680957,"about_ca_topic_score_gemma":0.000033830434,"teacher_disagreement_score":0.2698176,"about_ca_system_score_codex":0.00003407425,"about_ca_system_score_gemma":0.000011203573,"threshold_uncertainty_score":0.30866778},"labels":[],"label_agreement":null},{"id":"W3024067924","doi":"10.1111/1540-6229.12320","title":"Modeling unobserved heterogeneity in hedonic price models","year":2020,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Universiteit Maastricht; Université Laval","keywords":"Real estate; Economics; Econometrics; Hedonic index; Hedonic pricing; Property (philosophy); Sample (material); Microeconomics; Price index; Finance","score_opus":0.09865817713598515,"score_gpt":0.22551273451683035,"score_spread":0.1268545573808452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024067924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8793313,0.00007579428,0.004096161,0.0007132639,0.00024544224,0.00023046377,0.00009205037,0.000093973875,0.11512158],"genre_scores_gemma":[0.97900647,0.01873875,0.0014617025,0.0004709833,0.0001472951,0.00002014219,0.00004304297,0.0000833193,0.000028314353],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972875,0.000022802116,0.0012291531,0.0008154067,0.000016825024,0.00062830123],"domain_scores_gemma":[0.99895185,0.000042883934,0.0002931859,0.00040361148,0.000017498056,0.00029094523],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000585819,0.00030121315,0.00074303144,0.00016977495,0.000084740255,0.00014891602,0.0004241014,0.0001797651,0.000070660135],"category_scores_gemma":[0.000041362317,0.00042720337,0.00019136243,0.00018777176,0.000040438397,0.0007958236,0.00016384858,0.00027713133,0.000494446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000090909154,0.000059667036,0.012064117,0.00005057555,0.00003975296,0.000007809555,0.0011248781,0.95695484,0.000005884431,0.025295932,0.000024939374,0.0042806775],"study_design_scores_gemma":[0.0007938678,0.000046740923,0.00056365225,0.0000073380593,0.0000036748609,0.0000024630401,0.0000953554,0.9785745,0.000019016972,0.01739419,0.0020387007,0.0004604589],"about_ca_topic_score_codex":0.0017910929,"about_ca_topic_score_gemma":0.0010581141,"teacher_disagreement_score":0.11509326,"about_ca_system_score_codex":0.00042436892,"about_ca_system_score_gemma":0.000079449914,"threshold_uncertainty_score":0.99981797},"labels":[],"label_agreement":null},{"id":"W3025842557","doi":"10.3386/w17364","title":"Tiebout Sorting and Neighborhood Stratification","year":2011,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; National Science Foundation","keywords":"Tiebout model; Stratification (seeds); Sorting; Economics; Econometrics; Computer science; Biology; Microeconomics; Algorithm","score_opus":0.38242432183642977,"score_gpt":0.4304833455645492,"score_spread":0.04805902372811943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025842557","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01422196,0.00062396727,0.00013867971,0.00044975593,0.0005100654,0.00043728933,0.00005075017,0.000025201145,0.9835423],"genre_scores_gemma":[0.99689883,0.0009036569,0.0007872294,0.00002221788,0.00038966778,0.000074014126,0.00018956626,0.000046694924,0.00068809954],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99732065,0.00005917549,0.0012954297,0.00082508515,0.00009460594,0.00040504278],"domain_scores_gemma":[0.9980475,0.00029768483,0.0008483143,0.0004578691,0.0002238755,0.00012475866],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0039428384,0.00022765956,0.00062086136,0.0008271735,0.00015530293,0.00018775255,0.00051916,0.00044416633,0.0005831876],"category_scores_gemma":[0.0004437467,0.00030379381,0.00014614829,0.00008701972,0.00025698912,0.0002410139,0.00051031425,0.00076413754,0.00041916242],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028144332,0.0000538176,0.00857997,0.00012205724,0.000087118206,3.7666064e-7,0.00030820983,0.00026030684,0.000013789326,0.9880719,0.0006568264,0.0018174398],"study_design_scores_gemma":[0.0002619455,0.000037373004,0.0009122926,0.000039298862,0.000004167461,0.0000018690866,0.000055685035,0.0097610615,0.00008361456,0.988452,0.00013515099,0.00025550934],"about_ca_topic_score_codex":0.0008945571,"about_ca_topic_score_gemma":0.00008945415,"teacher_disagreement_score":0.98285425,"about_ca_system_score_codex":0.0005430024,"about_ca_system_score_gemma":0.00037919226,"threshold_uncertainty_score":0.9999414},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"agree"},{"id":"W3025987652","doi":"10.1139/cjfr-2019-0250","title":"Private-equity commercial real estate, timberland, and farmland: market integration and information transition dynamics","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"Real estate; Capitalization rate; Real estate investment trust; Price on application; Financial economics; Economics; Equity (law); Business; Cost approach; Finance","score_opus":0.047731237702870306,"score_gpt":0.26992291876003593,"score_spread":0.22219168105716564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025987652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92989975,0.000043206,0.0015236792,0.0040065013,0.000094235715,0.0001231343,0.000117061856,0.0000035187336,0.064188905],"genre_scores_gemma":[0.99764156,0.0018187194,0.00023667705,0.00013268593,0.00010739942,0.0000015223752,0.000039309853,0.000009103053,0.0000130189155],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999076,0.000039827108,0.0004617593,0.000101260324,0.000048875256,0.00027226517],"domain_scores_gemma":[0.9990923,0.000060894126,0.00016563684,0.00006936923,0.00010367605,0.00050812995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014853517,0.00008069315,0.0002180857,0.00040433445,0.00019264965,0.0003107179,0.00012766011,0.00009257333,0.0000850454],"category_scores_gemma":[0.00022796153,0.00008829382,0.000034307533,0.0001705917,0.00013407787,0.00095297425,0.000023570448,0.0003620181,0.000014569318],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004577041,0.000017535105,0.6271664,0.00017112556,0.000059034708,0.00004523479,0.010172887,0.0002104369,0.0000032794019,0.056752447,0.00583956,0.2991044],"study_design_scores_gemma":[0.0021952277,0.00084408664,0.7989795,0.000081133876,0.000013601509,0.000115321425,0.0014851703,0.11014194,0.000008284355,0.02236515,0.0633656,0.00040498713],"about_ca_topic_score_codex":0.011282107,"about_ca_topic_score_gemma":0.1107354,"teacher_disagreement_score":0.2986994,"about_ca_system_score_codex":0.00024558816,"about_ca_system_score_gemma":0.00020017326,"threshold_uncertainty_score":0.99530184},"labels":[],"label_agreement":null},{"id":"W3026731455","doi":"","title":"House Price Growth Accelerated in April Bounce Back","year":2019,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics","score_opus":0.03337941491240844,"score_gpt":0.20144779270483978,"score_spread":0.16806837779243133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026731455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5353797,0.000053405623,0.00015042324,0.00021952536,0.0003335405,0.0001423277,0.0000057101483,0.000057850655,0.4636575],"genre_scores_gemma":[0.99022675,0.00032663986,0.00079016894,0.00060506095,0.000055126355,0.0000067856386,0.000005704522,0.00004881659,0.007934977],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99861544,0.000009378749,0.000542203,0.00043659122,0.00001773173,0.0003786572],"domain_scores_gemma":[0.99936366,0.000046123558,0.00016474642,0.00033449513,0.000020079444,0.00007088222],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004946673,0.00015174224,0.00037509494,0.00022151569,0.00003065439,0.00013351857,0.0002644375,0.00012137526,0.0051519345],"category_scores_gemma":[0.000049652648,0.00018165343,0.00006651903,0.0003193317,0.000022976052,0.00042743766,0.0000735379,0.00015111119,0.026379164],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050149607,0.0001390088,0.8812737,0.000057503046,0.000024186564,0.000003609687,0.0003460855,0.00020442075,0.000055183486,0.111998655,0.005277974,0.00056956493],"study_design_scores_gemma":[0.0067798626,0.00026321821,0.45096618,0.000069699025,0.000006177511,0.000014380965,0.00031370885,0.049718928,0.0008407228,0.07155919,0.4168126,0.0026553192],"about_ca_topic_score_codex":0.00061410904,"about_ca_topic_score_gemma":0.0001335132,"teacher_disagreement_score":0.4557225,"about_ca_system_score_codex":0.00017073289,"about_ca_system_score_gemma":0.000027968787,"threshold_uncertainty_score":0.9957575},"labels":[],"label_agreement":null},{"id":"W3028035851","doi":"10.3390/jrfm13050105","title":"Estimating Bargaining Power in Real Estate Pricing Models: Conceptual and Empirical Issues","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; Economics; Econometrics; Bargaining power; Hedonic regression; Microeconomics; Finance","score_opus":0.04438492361564963,"score_gpt":0.2512596487361135,"score_spread":0.20687472512046387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3028035851","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.940193,0.0006524831,0.03276403,0.00036309205,0.0002059366,0.000092940114,0.000007962059,0.000010092798,0.025710458],"genre_scores_gemma":[0.9712945,0.011673641,0.016647806,0.00019570137,0.00016367815,0.0000011918175,5.638716e-7,0.0000136355875,0.000009264373],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883,0.000018915705,0.0007075793,0.00020916626,0.000034393743,0.00019993486],"domain_scores_gemma":[0.9993406,0.000047694706,0.00043014783,0.000062049876,0.000015674892,0.00010384725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007282094,0.00012049855,0.0004204241,0.00017074654,0.0000811844,0.000079877806,0.00009337822,0.000054448235,0.000011540867],"category_scores_gemma":[0.00013206349,0.0001311471,0.000050364066,0.00012881325,0.00005638195,0.00032594652,0.0001032446,0.00022346065,0.0000044799485],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037812613,0.0001093565,0.4263357,0.00011600105,0.000060422703,0.0002513554,0.057172988,0.022504384,0.0000018818251,0.0707157,0.00084403914,0.42151004],"study_design_scores_gemma":[0.0063611916,0.0011098429,0.2617561,0.00031009005,0.00008358094,0.000038253507,0.009710585,0.50042784,0.0000053272415,0.14538164,0.07365318,0.0011623661],"about_ca_topic_score_codex":0.00009675196,"about_ca_topic_score_gemma":0.000015231761,"teacher_disagreement_score":0.47792348,"about_ca_system_score_codex":0.000043162883,"about_ca_system_score_gemma":0.000012048862,"threshold_uncertainty_score":0.5348023},"labels":[],"label_agreement":null},{"id":"W3028366539","doi":"10.34989/swp-2020-18","title":"How Do Mortgage Rate Resets Affect Consumer Spending and Debt Repayment? Evidence from Canadian Consumers","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Monetary economics; Economics; Interest rate; Default; Deleveraging; Floating interest rate; Debt; Household debt; Macroeconomics; Finance","score_opus":0.03447057472382145,"score_gpt":0.22736422100229137,"score_spread":0.19289364627846992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3028366539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9678772,0.018360915,0.0008570373,0.0075843437,0.00040388422,0.00019583326,0.0000617164,0.00003035765,0.0046286965],"genre_scores_gemma":[0.9622987,0.03668876,0.00013330163,0.00035992006,0.00019776798,0.0000036777813,0.00000806824,0.00004263593,0.00026719863],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970645,0.00007525815,0.0004492767,0.0005219299,0.000040598676,0.001848473],"domain_scores_gemma":[0.99869823,0.00018254493,0.0003673016,0.00022204596,0.00002091853,0.0005089599],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002152102,0.00023353646,0.00045455858,0.00021319995,0.00035300953,0.0006096759,0.00030425075,0.00012128294,0.00021972442],"category_scores_gemma":[0.00058954925,0.00027171624,0.0001196201,0.00016504043,0.000090197944,0.00065012806,0.000056948265,0.0012150878,0.00017183319],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002105022,0.000020577407,0.904892,0.0000314189,0.0007531542,0.000103949154,0.0012597808,0.000032396096,0.000301241,0.071571745,0.0015166443,0.019306576],"study_design_scores_gemma":[0.008239058,0.0014818904,0.12287253,0.00056357257,0.0003852846,0.0008725618,0.008587452,0.015202874,0.00062222127,0.6569992,0.17935924,0.0048141098],"about_ca_topic_score_codex":0.018229172,"about_ca_topic_score_gemma":0.0743237,"teacher_disagreement_score":0.7820195,"about_ca_system_score_codex":0.0011301471,"about_ca_system_score_gemma":0.0007376367,"threshold_uncertainty_score":0.9999735},"labels":[],"label_agreement":null},{"id":"W3030347073","doi":"","title":"UK House Prices Remain Virtually Stable in June According to Halifax","year":2019,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics","score_opus":0.0197716668502833,"score_gpt":0.2058386012885597,"score_spread":0.1860669344382764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3030347073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68600386,0.000049828253,0.0009664239,0.00050809735,0.0006360497,0.00023022432,0.00001310481,0.0000709709,0.31152144],"genre_scores_gemma":[0.98617417,0.00012039872,0.0031762721,0.00079708046,0.0000752283,0.000013696139,0.0000042670426,0.000054152064,0.00958471],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99838513,0.000008579515,0.00063078356,0.00049387355,0.000024406942,0.00045724204],"domain_scores_gemma":[0.9992048,0.00007824775,0.00016731674,0.0004254086,0.000012948734,0.00011125301],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001007819,0.00016445831,0.0004674301,0.00042812814,0.000046755293,0.00016755494,0.00029866147,0.00010343217,0.0015351617],"category_scores_gemma":[0.00009482274,0.00019863,0.000072870454,0.00034595357,0.000012234326,0.00035124007,0.00013527604,0.00012879839,0.0075448067],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007453711,0.00009434497,0.8415379,0.000041905136,0.000029612494,0.0000055817122,0.0007213321,0.0024095427,0.00017025183,0.14788982,0.004920419,0.0021047727],"study_design_scores_gemma":[0.005712213,0.000535068,0.13403699,0.00021923966,0.0000143711895,0.000013892877,0.005455711,0.032706104,0.0012404756,0.06504359,0.75102854,0.003993793],"about_ca_topic_score_codex":0.0011083692,"about_ca_topic_score_gemma":0.0015122066,"teacher_disagreement_score":0.7461081,"about_ca_system_score_codex":0.00020625668,"about_ca_system_score_gemma":0.000026728634,"threshold_uncertainty_score":0.99937755},"labels":[],"label_agreement":null},{"id":"W3031138694","doi":"","title":"Quarter of Landlords Plan to Sell Due to Tax Rises %%sep%% %%sitename%%","year":2019,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economics; Business; History","score_opus":0.016463114631764073,"score_gpt":0.19214660003382517,"score_spread":0.17568348540206108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3031138694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6796234,0.000019921843,0.0015933135,0.0006064954,0.0004535293,0.0002218816,0.00009823628,0.000030094367,0.31735313],"genre_scores_gemma":[0.989618,0.000018751569,0.001913496,0.0007699578,0.000093486706,0.000010213949,0.000010531167,0.000028219878,0.0075373575],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99872166,0.000007485166,0.00053863705,0.00038666715,0.000024473178,0.00032108845],"domain_scores_gemma":[0.99917185,0.000053035936,0.00014929203,0.0004372216,0.000023419203,0.00016519077],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00037478554,0.00015333468,0.0005071641,0.00029828725,0.0000315855,0.000058062185,0.00025724797,0.000091315975,0.003683424],"category_scores_gemma":[0.000033509143,0.00016655726,0.0001033309,0.0001910602,0.000012229985,0.00013810549,0.00007936634,0.000075031865,0.01166951],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029392363,0.00020407389,0.8445381,0.00018530664,0.00015613592,0.000008475919,0.003989005,0.0012948514,0.00047354557,0.051749066,0.09354174,0.0035657617],"study_design_scores_gemma":[0.0021921354,0.0011219413,0.12930463,0.00008720989,0.000017921157,0.000016361551,0.0010488795,0.0054956386,0.0024160591,0.012441872,0.8441102,0.0017471426],"about_ca_topic_score_codex":0.00064155314,"about_ca_topic_score_gemma":0.00023427865,"teacher_disagreement_score":0.75056845,"about_ca_system_score_codex":0.00005831747,"about_ca_system_score_gemma":0.000014421961,"threshold_uncertainty_score":0.9972274},"labels":[],"label_agreement":null},{"id":"W3033023913","doi":"10.53383/100290","title":"International Real Estate Review","year":2019,"lang":"en","type":"article","venue":"International Real Estate Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"University of Connecticut","keywords":"Real estate investment trust; Market liquidity; Economics; Financial crisis; Capital (architecture); Financial economics; Business; Monetary economics; Real estate; Finance; Geography; Macroeconomics","score_opus":0.0290573973392196,"score_gpt":0.2748293888110775,"score_spread":0.24577199147185788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033023913","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004081072,0.0010373942,0.000047045163,0.0042714793,0.002560262,0.00053255283,0.00021567053,0.000073378345,0.9871811],"genre_scores_gemma":[0.0030148025,0.9940075,0.0004909983,0.0009129319,0.00024308624,0.000052981086,0.0003622239,0.000050790262,0.00086468674],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99754417,0.000035138764,0.0013351595,0.0006134378,0.0001313149,0.00034080166],"domain_scores_gemma":[0.99835664,0.00010437914,0.00078295084,0.0004789854,0.00013848503,0.0001385495],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012641132,0.0002775589,0.0007817466,0.00017511017,0.00004414466,0.0001066471,0.00080907287,0.00007447494,0.0061881617],"category_scores_gemma":[0.0002352407,0.0003046874,0.0003387913,0.00017837503,0.00004527888,0.0005348525,0.0001809124,0.00023210664,0.008350601],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014462755,0.000053918717,0.005196553,0.0017010964,0.00011657965,0.000013571429,0.000043528853,0.000014026168,0.0000028346603,0.00127146,0.0058897166,0.98568225],"study_design_scores_gemma":[0.00030988822,0.000028395465,0.0015574074,0.0027420048,0.000019329147,0.000029609433,0.000006208437,0.00090686156,0.0000018606604,0.00012327105,0.9939447,0.0003304591],"about_ca_topic_score_codex":0.0009498327,"about_ca_topic_score_gemma":0.00005155244,"teacher_disagreement_score":0.9929701,"about_ca_system_score_codex":0.000383421,"about_ca_system_score_gemma":0.00006076186,"threshold_uncertainty_score":0.9999405},"labels":[],"label_agreement":null},{"id":"W3033501883","doi":"10.34989/san-2020-8","title":"Household indebtedness risks in the wake of COVID‑19","year":2020,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Default; Parallels; Coronavirus disease 2019 (COVID-19); Payment; Pandemic; Natural disaster; Business; Economics; 2019-20 coronavirus outbreak; Finance; Geography; Operations management","score_opus":0.1708674162367261,"score_gpt":0.28826811900389404,"score_spread":0.11740070276716794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033501883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9704184,0.00013491574,0.0038234366,0.006363066,0.000083570325,0.000139973,0.00015128311,0.00002540181,0.018859953],"genre_scores_gemma":[0.9984498,0.00009676271,0.00022408633,0.0011127093,0.0000826708,0.0000028008476,0.000006887624,0.000016279471,0.00000799305],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882454,0.000029058794,0.0005719694,0.00028889466,0.000037061774,0.00024845044],"domain_scores_gemma":[0.9991042,0.00031467015,0.00016526143,0.00025187375,0.000009980495,0.0001540063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057572196,0.00012109848,0.00040855998,0.000113871414,0.000048391248,0.00004844536,0.0003466987,0.00010081239,0.00026121514],"category_scores_gemma":[0.0010455858,0.000109480345,0.00012144596,0.00039965924,0.00013214788,0.00009199931,0.000060413735,0.00019811283,0.00006705581],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013026386,0.0003814082,0.7210618,0.00015176048,0.00008721323,0.000030928066,0.0038784924,0.009850131,0.000014046409,0.2620894,0.0011473227,0.0011772041],"study_design_scores_gemma":[0.003938907,0.00077391946,0.0972198,0.00003525003,0.000103995066,0.000016663455,0.003757425,0.6620813,0.00011340769,0.15915093,0.07120507,0.0016033344],"about_ca_topic_score_codex":0.00092842086,"about_ca_topic_score_gemma":0.00009469242,"teacher_disagreement_score":0.65223116,"about_ca_system_score_codex":0.00005491303,"about_ca_system_score_gemma":0.000049097594,"threshold_uncertainty_score":0.44644788},"labels":[],"label_agreement":null},{"id":"W3033653372","doi":"10.3390/jrfm13060112","title":"What Role Does the Housing Market Play for the Macroeconomic Transmission Mechanism?","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Interest rate; Interest rate channel; Economics; Vector autoregression; Monetary economics; Household debt; Debt; Monetary transmission mechanism; Mechanism (biology); Channel (broadcasting); Macroeconomics; Credit channel; Monetary policy","score_opus":0.010657221220141951,"score_gpt":0.1878954320783931,"score_spread":0.17723821085825114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033653372","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3341987,0.014805842,0.61494356,0.021155154,0.0056919544,0.0015509569,0.00012980148,0.00003756616,0.007486449],"genre_scores_gemma":[0.9366249,0.059551135,0.0018040695,0.001176554,0.0006760475,0.000011825843,8.511734e-7,0.00002625956,0.0001283964],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99891794,0.00001942992,0.00062094926,0.00019684792,0.000030801028,0.00021402685],"domain_scores_gemma":[0.9990247,0.00016323391,0.0005756378,0.00013953679,0.00001852633,0.00007838409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001205427,0.0001406813,0.0003250919,0.00007758502,0.0003764398,0.00032302117,0.00031103997,0.00005770307,0.0000857314],"category_scores_gemma":[0.000050560044,0.0000865255,0.00020389,0.00007802051,0.00004677101,0.000366501,0.000070534225,0.00018914824,0.000009253822],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069732434,0.0000510744,0.0027699687,0.00009621937,0.00013604705,0.000009110369,0.0042860494,0.0006271702,0.000008679034,0.064916246,0.004460663,0.92194146],"study_design_scores_gemma":[0.0011980578,0.0001423152,0.005634422,0.0000448967,0.00009904689,0.0000053720405,0.0019642923,0.012688115,0.00005082727,0.10498535,0.8729728,0.0002145135],"about_ca_topic_score_codex":0.000016360686,"about_ca_topic_score_gemma":0.000016286964,"teacher_disagreement_score":0.92172694,"about_ca_system_score_codex":0.00004125318,"about_ca_system_score_gemma":0.00001290646,"threshold_uncertainty_score":0.35284075},"labels":[],"label_agreement":null},{"id":"W3034173062","doi":"10.3386/w27341","title":"Searching for Approval","year":2020,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Computer science","score_opus":0.5454503059507511,"score_gpt":0.4925645656252942,"score_spread":0.05288574032545684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034173062","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00044737488,0.00059130834,0.0002146394,0.0015748037,0.0012745258,0.0009697186,0.0008076817,0.000032372045,0.9940876],"genre_scores_gemma":[0.9548086,0.0054789963,0.0051855533,0.00012203678,0.00842987,0.0006625393,0.002914878,0.00040722775,0.02199029],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9962174,0.000056659414,0.0016617433,0.0010443993,0.0003173325,0.0007024153],"domain_scores_gemma":[0.99655277,0.001176886,0.000861864,0.000416087,0.0007799044,0.00021250795],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.010934245,0.0003032675,0.0011649027,0.0012186207,0.00022780501,0.00018527883,0.0008937318,0.0005342047,0.00067698746],"category_scores_gemma":[0.0033925585,0.0004004707,0.00052040874,0.00020165049,0.00025561117,0.00024343126,0.00029428885,0.0009277151,0.0010308544],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010265494,0.000063028274,0.00086921017,0.0005696754,0.00026724348,0.000001001798,0.00011397018,0.00040135262,0.0000085386455,0.8918067,0.10265311,0.0031434742],"study_design_scores_gemma":[0.00046664468,0.0001051671,0.00008936612,0.00004249821,0.000005491135,0.000005134874,0.000027542164,0.0062674168,0.000028016382,0.650906,0.3417535,0.00030318237],"about_ca_topic_score_codex":0.0010318958,"about_ca_topic_score_gemma":0.00012344102,"teacher_disagreement_score":0.9720973,"about_ca_system_score_codex":0.0024873165,"about_ca_system_score_gemma":0.002652856,"threshold_uncertainty_score":0.99984473},"labels":[],"label_agreement":null},{"id":"W3034349832","doi":"","title":"Abstract for Partial Mortgage Prepayments and Housing Credit Growth | Bulletin – September Quarter 2013","year":2013,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Business; Medicine; Geography; Archaeology","score_opus":0.022536810409121016,"score_gpt":0.21031845212864633,"score_spread":0.18778164171952533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034349832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55936545,0.0009083061,0.0026629088,0.3504538,0.0026278894,0.0033883492,0.00056651136,0.0003445776,0.07968221],"genre_scores_gemma":[0.9961627,0.00026991504,0.0021713974,0.0005079073,0.00040208868,0.00015015797,0.0000431758,0.000078575016,0.00021407582],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99761754,0.000016916,0.0010973524,0.00064592203,0.000058322763,0.000563944],"domain_scores_gemma":[0.9985707,0.00016018559,0.0006024277,0.0003956763,0.000077802055,0.00019324772],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00064371934,0.00031665445,0.00064913655,0.0002020783,0.00016227839,0.00016569687,0.00023967163,0.00018805207,0.0070395297],"category_scores_gemma":[0.000095251606,0.0003717761,0.00020856895,0.00007013677,0.00013733335,0.00019529369,0.000108427026,0.00017742768,0.0031975866],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009353846,0.0002270086,0.0070799715,0.00022265955,0.00013484193,0.0000021391475,0.00037641032,0.00006839923,0.00013855142,0.0016317073,0.98989975,0.00012499886],"study_design_scores_gemma":[0.0016412623,0.00016268181,0.0161685,0.00006446249,0.000026602238,0.0000059620043,0.00009424389,0.0017792152,0.00024123586,0.0040101754,0.9751385,0.00066715735],"about_ca_topic_score_codex":0.00045979614,"about_ca_topic_score_gemma":0.00001663335,"teacher_disagreement_score":0.43679726,"about_ca_system_score_codex":0.000053430354,"about_ca_system_score_gemma":0.000014692505,"threshold_uncertainty_score":0.9998734},"labels":[],"label_agreement":null},{"id":"W3034546001","doi":"","title":"Abstract for Housing Wealth Effects: Evidence from New Vehicle Registrations | Bulletin – September Quarter 2015","year":2015,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Advertising; Business; History; Archaeology","score_opus":0.06733367439883856,"score_gpt":0.26554386934177926,"score_spread":0.1982101949429407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034546001","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09070739,0.005011621,0.023410525,0.8425225,0.0036682726,0.00229653,0.0004943671,0.00040789234,0.031480905],"genre_scores_gemma":[0.9894502,0.00021651835,0.008433037,0.0006764598,0.0007484624,0.00004528185,0.00006636429,0.00007752553,0.0002861474],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99754673,0.000031192598,0.001167729,0.00066713337,0.000083745945,0.0005034926],"domain_scores_gemma":[0.99750817,0.0005665111,0.0008016484,0.00065976294,0.000096139,0.0003677526],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011227438,0.00030498355,0.00070310675,0.00018273632,0.00012613027,0.00014284631,0.00038499743,0.00020355033,0.0012249949],"category_scores_gemma":[0.0005588916,0.00037409997,0.0002446561,0.00013031089,0.00009500082,0.00020837838,0.00007333225,0.00022116736,0.0034703738],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019621904,0.00013064421,0.0023341966,0.000106035826,0.00007101119,0.0000030683966,0.0007258002,0.0004493562,0.00011066363,0.00073174696,0.99504125,0.000100009376],"study_design_scores_gemma":[0.0019368394,0.0002483441,0.0053552035,0.00026945028,0.00003473919,0.0000025594848,0.00013556423,0.0012257812,0.00031333463,0.007418002,0.9824679,0.0005922632],"about_ca_topic_score_codex":0.0018844593,"about_ca_topic_score_gemma":0.00020186722,"teacher_disagreement_score":0.8987428,"about_ca_system_score_codex":0.0001761243,"about_ca_system_score_gemma":0.00013598953,"threshold_uncertainty_score":0.9998711},"labels":[],"label_agreement":null},{"id":"W3034774308","doi":"10.5539/ijef.v12n7p21","title":"Partial Ordered Logit Analysis of Confidence Levels in Financial Institutions in Ghana. The Case of Asante Mampong Municipality","year":2020,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ordered logit; Investment (military); Financial institution; Odds; Economics; Public sector; Market liquidity; Financial services; Finance; Business; Logistic regression; Politics; Political science; Economy","score_opus":0.09929507300310998,"score_gpt":0.2852354446487135,"score_spread":0.1859403716456035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034774308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953505,0.00039723195,0.000960093,0.001418168,0.00030336066,0.00006751158,0.00026340343,9.4497824e-7,0.0012387886],"genre_scores_gemma":[0.9970478,0.002309299,0.0003733422,0.00018740506,0.00006631874,0.000002140947,0.0000030584456,0.0000056062113,0.0000050716394],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981571,0.000024035822,0.001471662,0.00019121633,0.000019768193,0.00013623932],"domain_scores_gemma":[0.99837255,0.00013755834,0.0012305677,0.00013797522,0.000086096596,0.000035235702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087689504,0.000105845924,0.0006140293,0.00040034112,0.00002911354,0.00003639229,0.0003888638,0.000075200216,0.000040726944],"category_scores_gemma":[0.00036976975,0.000110201174,0.00017110888,0.00030139994,0.00016799931,0.0002977312,0.000092359245,0.0001928802,0.0000017765678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029667886,0.00015415378,0.08807063,0.000016972384,0.00036952377,0.00018499348,0.00263397,0.1508009,0.0000097269485,0.75334597,0.000018530935,0.004097964],"study_design_scores_gemma":[0.004057275,0.0002684098,0.23997353,0.00013705541,0.00013486746,0.00021224946,0.0011699226,0.69354403,0.00028855115,0.051132012,0.0085032,0.00057890994],"about_ca_topic_score_codex":0.0013834026,"about_ca_topic_score_gemma":0.0036599129,"teacher_disagreement_score":0.70221394,"about_ca_system_score_codex":0.0000862437,"about_ca_system_score_gemma":0.0001291673,"threshold_uncertainty_score":0.44938734},"labels":[],"label_agreement":null},{"id":"W3035182064","doi":"10.1037/xge0000877","title":"Unsolicited but acceptable: Non-owners can access property if the owner benefits.","year":2020,"lang":"en","type":"article","venue":"Journal of Experimental Psychology General","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Property (philosophy); Business","score_opus":0.07918381516711676,"score_gpt":0.3055686139332997,"score_spread":0.22638479876618295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035182064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9415583,0.00075770513,0.00023206258,0.014961761,0.0018643299,0.00017901858,0.000038914823,0.000016075428,0.040391818],"genre_scores_gemma":[0.983,0.00041458663,0.0006623039,0.013962043,0.0012474809,0.000009813481,0.000006560339,0.000046102632,0.0006511413],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99817693,0.000044806944,0.0009813629,0.00034709525,0.00005268787,0.00039711548],"domain_scores_gemma":[0.99864453,0.000023506831,0.00078148703,0.00028089675,0.0000432688,0.00022633804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045020957,0.00023381504,0.0005521055,0.00015256791,0.00019049256,0.00017593474,0.0009319984,0.00015177278,0.0008777983],"category_scores_gemma":[0.000038020687,0.00013809426,0.00023762841,0.0002466711,0.00014578407,0.00040248406,0.00015197016,0.0004568537,0.00009930563],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032375823,0.002010906,0.3098319,0.000054753895,0.0018859718,0.0002071308,0.018664917,0.008493831,0.03619506,0.0066758627,0.5457562,0.06698585],"study_design_scores_gemma":[0.01981374,0.0044262335,0.17606673,0.00008251915,0.0001380882,0.0010799983,0.0037247501,0.028994456,0.03608291,0.0033695267,0.7227794,0.003441641],"about_ca_topic_score_codex":0.0001501839,"about_ca_topic_score_gemma":0.000007926132,"teacher_disagreement_score":0.17702317,"about_ca_system_score_codex":0.00011400752,"about_ca_system_score_gemma":0.00004392912,"threshold_uncertainty_score":0.9611276},"labels":[],"label_agreement":null},{"id":"W3035323560","doi":"10.1093/rapstu/raaa014","title":"A First Look at the Impact of COVID-19 on Commercial Real Estate Prices: Asset-Level Evidence","year":2020,"lang":"en","type":"article","venue":"The Review of Asset Pricing Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":208,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Real estate; Coronavirus disease 2019 (COVID-19); Asset (computer security); Economics; Shock (circulatory); Monetary economics; Percentage point; Capitalization rate; Real estate investment trust; Financial economics; Econometrics; Business; Finance; Internal medicine; Medicine","score_opus":0.2395480927182233,"score_gpt":0.3746154664422326,"score_spread":0.1350673737240093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035323560","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59236056,0.25490835,0.00070490554,0.1003967,0.0006010599,0.003028191,0.0008263733,0.00011117503,0.047062676],"genre_scores_gemma":[0.30295825,0.69508153,0.00012063961,0.0016641798,0.00008388475,0.000024047658,0.0000054561383,0.000021334286,0.000040661198],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9981106,0.000102244005,0.0010940814,0.00033624287,0.0000754859,0.00028136183],"domain_scores_gemma":[0.99592835,0.0019622382,0.0013875989,0.0005651894,0.00006930407,0.00008732765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028973552,0.00024914977,0.0011832587,0.00005713274,0.00033846573,0.000025260268,0.0005877479,0.00004251047,0.00009409597],"category_scores_gemma":[0.0035262736,0.00015162639,0.00038080278,0.00037670767,0.000273061,0.00013456773,0.0003790316,0.00018784097,0.00010288923],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013817484,0.0006757388,0.3461445,0.0889698,0.006798059,0.00002633037,0.09578994,0.012637345,0.000044406694,0.0185072,0.3649434,0.06408154],"study_design_scores_gemma":[0.0054359925,0.0065515633,0.47840664,0.048530005,0.0018289422,0.00006183185,0.0076102884,0.012011961,0.00022377107,0.011432914,0.42338276,0.0045233415],"about_ca_topic_score_codex":0.0014079974,"about_ca_topic_score_gemma":0.0002727208,"teacher_disagreement_score":0.4401732,"about_ca_system_score_codex":0.00040128749,"about_ca_system_score_gemma":0.00010518514,"threshold_uncertainty_score":0.6183145},"labels":[],"label_agreement":null},{"id":"W3035475448","doi":"","title":"Abstract for Dwelling Prices and Household Income | Bulletin – December Quarter 2012","year":2012,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Business; Geography","score_opus":0.03738424291939335,"score_gpt":0.22023049486859203,"score_spread":0.18284625194919868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035475448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.569176,0.010810176,0.006595439,0.28924528,0.0042872713,0.0023712495,0.0008814719,0.0004529065,0.1161802],"genre_scores_gemma":[0.99420357,0.0005983314,0.0039718766,0.00048331564,0.00049154,0.00004689833,0.000022797929,0.0000755325,0.00010615658],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979267,0.000010577223,0.00095609686,0.0004208191,0.000045038014,0.0006407558],"domain_scores_gemma":[0.9985342,0.00025983498,0.00058364356,0.0003750826,0.000029933204,0.0002173004],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011969941,0.00028171152,0.000610799,0.00024842456,0.00014213237,0.000079078156,0.00022693958,0.0001895811,0.0017330475],"category_scores_gemma":[0.00007939723,0.00032898854,0.00018082856,0.00008329375,0.000106137304,0.00023328776,0.000086980006,0.00017915087,0.0009465616],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006154584,0.0012204251,0.08354785,0.0013055165,0.00048083364,0.000004028642,0.0030705845,0.0005760121,0.00027217352,0.059247408,0.8490887,0.00057098904],"study_design_scores_gemma":[0.00075916445,0.000059722835,0.021650242,0.00004279518,0.000017676319,0.0000076034853,0.00006352616,0.00015470193,0.0000850853,0.0011904044,0.97552854,0.00044051898],"about_ca_topic_score_codex":0.00006438382,"about_ca_topic_score_gemma":0.00001083079,"teacher_disagreement_score":0.42502755,"about_ca_system_score_codex":0.00004689016,"about_ca_system_score_gemma":0.00000971798,"threshold_uncertainty_score":0.9999162},"labels":[],"label_agreement":null},{"id":"W3036096773","doi":"10.1111/joca.12318","title":"Payday lending, crime, and bankruptcy: Is there a connection?","year":2020,"lang":"en","type":"article","venue":"Journal of Consumer Affairs","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Bankruptcy; Business; State (computer science); Population; Property (philosophy); Law and economics; Finance; Economics; Environmental health; Medicine","score_opus":0.03274567295607412,"score_gpt":0.22443031317584303,"score_spread":0.19168464021976891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036096773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6313766,0.01662221,0.0024752219,0.011742896,0.0016792136,0.00019791037,0.00007801057,0.00005293361,0.335775],"genre_scores_gemma":[0.9952818,0.0031260813,0.00056144194,0.000654425,0.00022319071,9.400201e-7,6.378833e-7,0.000025615898,0.00012585764],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988527,0.00001666945,0.00070529076,0.00019663981,0.000033024477,0.00019566301],"domain_scores_gemma":[0.9989259,0.00007710846,0.0006316119,0.000115883464,0.00004833812,0.00020114142],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00043495942,0.00013877038,0.0004649916,0.00014619669,0.00008417997,0.00011618897,0.00015556463,0.00008582109,0.0012009245],"category_scores_gemma":[0.00014555627,0.00014504729,0.0001527193,0.000113286,0.00007317573,0.00033589016,0.000041348652,0.00023791405,0.00021345823],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049931085,0.0002195803,0.7603986,0.00023234861,0.0012509326,0.000121263656,0.00919385,0.000059341917,0.00015817188,0.07214447,0.12504593,0.030676205],"study_design_scores_gemma":[0.0032432803,0.00048315572,0.029302455,0.000085012485,0.000098358294,0.00020156024,0.002891913,0.0025579259,0.00042717642,0.016595375,0.94336694,0.0007468273],"about_ca_topic_score_codex":0.0000178316,"about_ca_topic_score_gemma":0.0000036332378,"teacher_disagreement_score":0.81832105,"about_ca_system_score_codex":0.000043877175,"about_ca_system_score_gemma":0.000040194056,"threshold_uncertainty_score":0.9997121},"labels":[],"label_agreement":null},{"id":"W3036201271","doi":"","title":"Abstract for Long-run Trends in Housing Price Growth | Bulletin – September Quarter 2015","year":2015,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Business; Geography","score_opus":0.044392760950759634,"score_gpt":0.24691502877624277,"score_spread":0.20252226782548313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036201271","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09026342,0.0014583098,0.0034990627,0.5847507,0.003046655,0.0013417476,0.00039524853,0.0003324646,0.3149124],"genre_scores_gemma":[0.9965971,0.000081744525,0.001943525,0.00047710547,0.0003310476,0.000052809224,0.000080681246,0.00009480835,0.0003411873],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99714375,0.00002495549,0.001378408,0.0006914009,0.000079958634,0.0006815401],"domain_scores_gemma":[0.9983241,0.00014904737,0.0006899728,0.00048500224,0.000105746854,0.00024612685],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001687723,0.00035638723,0.0008439085,0.0007166665,0.000072553106,0.000096793075,0.000387399,0.00024588095,0.00247265],"category_scores_gemma":[0.00017671857,0.0004400162,0.00027739746,0.00029911989,0.000102679405,0.00015554135,0.000096086245,0.0002608414,0.0021649562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034425085,0.00045172017,0.015632028,0.00014126144,0.00007773757,0.000012021873,0.0007946634,0.00053517945,0.000014009387,0.002493859,0.979342,0.00016130132],"study_design_scores_gemma":[0.0028656705,0.00017925394,0.02109355,0.000069749454,0.000014594078,0.000008217345,0.00013323264,0.0007388819,0.00007417431,0.0026140169,0.9714889,0.000719795],"about_ca_topic_score_codex":0.00024370775,"about_ca_topic_score_gemma":0.00011287568,"teacher_disagreement_score":0.9063337,"about_ca_system_score_codex":0.0002128257,"about_ca_system_score_gemma":0.000039977098,"threshold_uncertainty_score":0.99980515},"labels":[],"label_agreement":null},{"id":"W3037045535","doi":"","title":"Thomaston Maine Annual Town Report 2014","year":2014,"lang":"en","type":"article","venue":"DigitalCommons (California Polytechnic State University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Administration for Community Living; Goddard Space Flight Center; Strong; McGill University; Emory University; Wells Fargo; U.S. Department of Health and Human Services; TD Bank; Johns Hopkins University","keywords":"Geography","score_opus":0.013317307125104802,"score_gpt":0.1863493826846666,"score_spread":0.1730320755595618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037045535","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.079232134,0.000053871878,0.030551553,0.00068312953,0.0003483078,0.00021768607,0.0015347076,0.00040664748,0.88697195],"genre_scores_gemma":[0.9873931,0.00016250026,0.0008682847,0.0001460156,0.00009090943,0.0000018624628,0.00018658591,0.000052029045,0.0110987285],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980967,0.000022114114,0.0006118285,0.00062709016,0.000051091676,0.000591191],"domain_scores_gemma":[0.99836487,0.000092372975,0.00045519293,0.0008074676,0.000038373626,0.00024174585],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00057708094,0.000289695,0.00052780315,0.0007487537,0.00020693455,0.000117553835,0.0005443188,0.00015508839,0.00031594187],"category_scores_gemma":[0.00011426013,0.0003758814,0.00024954043,0.00046209263,0.00017409751,0.0005356915,0.00028820516,0.00023061786,0.0012997258],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037367942,0.00072136964,0.17748347,0.00008689057,0.00036330766,0.00078954914,0.00034464154,0.0008261099,0.000054866785,0.6551334,0.09973158,0.06409112],"study_design_scores_gemma":[0.0005852954,0.00007897916,0.0017871192,0.000013315976,0.000010810359,0.00006489351,0.000078481804,0.0010910169,0.00004566475,0.0121151805,0.98362845,0.00050078664],"about_ca_topic_score_codex":0.00017480044,"about_ca_topic_score_gemma":0.000091713424,"teacher_disagreement_score":0.9081609,"about_ca_system_score_codex":0.00028058363,"about_ca_system_score_gemma":0.000037566842,"threshold_uncertainty_score":0.9998693},"labels":[],"label_agreement":null},{"id":"W3037123546","doi":"10.5539/ibr.v13n7p224","title":"Impact of Advancement in Technology, False Conclusion of Real Estate Bubble, Record Low Mortgage Delinquency, Irresponsible Media, U.S. Economic Policy Disaster: Evidence Supporting Eddison Walters Risk Expectation Theory of The Global Financial Crisis of 2007 and 2008","year":2020,"lang":"en","type":"article","venue":"International Business Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; Financial crisis; Assertion; Economics; Estate; Variable (mathematics); Actuarial science; Financial economics; Keynesian economics; Finance; Mathematics; Computer science","score_opus":0.051352443550561094,"score_gpt":0.36299388159227025,"score_spread":0.3116414380417092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037123546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959804,0.00021698794,0.00059553963,0.0013870526,0.0002078595,0.00025400057,0.00048312324,0.000005270655,0.0008697815],"genre_scores_gemma":[0.98782164,0.011712803,0.00034821147,0.000008914857,0.00006532689,0.000012754894,0.000013050416,0.0000127742915,0.0000045393986],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980045,0.00010222153,0.0011879875,0.00032692493,0.00012224546,0.00025612817],"domain_scores_gemma":[0.9979569,0.00038270245,0.0010176117,0.00023995218,0.00034906642,0.00005380046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016231328,0.00012660201,0.00043539007,0.0005990774,0.00004811543,0.000016120224,0.00047523103,0.000098931465,0.00012697327],"category_scores_gemma":[0.003935525,0.00012277417,0.000097982585,0.00074337085,0.0003687833,0.0003385144,0.00038856984,0.00017496261,0.000004359716],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011971697,0.00009644047,0.96686554,0.00010941497,0.000043329903,0.0000021043904,0.001622976,0.00460749,0.00048398966,0.0023358979,0.00007899792,0.022556657],"study_design_scores_gemma":[0.0011132149,0.00022544015,0.9572055,0.0002913138,0.0000069253965,0.0000025719087,0.0012884998,0.011740591,0.001289016,0.026567152,0.00008232942,0.00018748154],"about_ca_topic_score_codex":0.0127907945,"about_ca_topic_score_gemma":0.00085664407,"teacher_disagreement_score":0.024231253,"about_ca_system_score_codex":0.00048605714,"about_ca_system_score_gemma":0.0004482816,"threshold_uncertainty_score":0.9937831},"labels":[],"label_agreement":null},{"id":"W3037791013","doi":"10.1177/0042098020927839","title":"Examining building age, rental housing and price filtering for affordability in Melbourne, Australia","year":2020,"lang":"en","type":"article","venue":"Urban Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Lord Mayor’s Charitable Foundation; Brotherhood of St Laurence","keywords":"Economic rent; Renting; Rental housing; Affordable housing; Economics; Government (linguistics); Public economics; Public housing; Low income housing; Hedonic regression; Labour economics; Business; Economic growth; Microeconomics; Econometrics; Law; Political science","score_opus":0.24599809089073982,"score_gpt":0.3016430759071359,"score_spread":0.05564498501639609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037791013","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99474156,0.0014434991,0.0011360294,0.00028118148,0.0002568905,0.00021127051,0.000025503801,0.000038709964,0.0018653668],"genre_scores_gemma":[0.9932572,0.00029546465,0.006031558,0.00010942752,0.0001795444,0.000022765127,0.0000026918387,0.000022401176,0.00007892636],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876314,0.000009060777,0.00048382254,0.00041945427,0.000014988007,0.00030955797],"domain_scores_gemma":[0.9995059,0.00013812922,0.00017055751,0.00010873957,0.000011829245,0.000064842294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005091952,0.00015359487,0.00047559894,0.00009174725,0.00013624766,0.00008027398,0.00009421387,0.00005200647,0.000014614985],"category_scores_gemma":[0.00037268555,0.00018793608,0.000050392977,0.00012054881,0.00007603001,0.00021465843,0.00014957655,0.00010480722,0.000007452467],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008339086,0.000039826962,0.9740987,0.00045780017,0.00013810043,0.000011475406,0.0107522765,0.00022896976,0.00024715276,0.007978801,0.0020114004,0.0039521297],"study_design_scores_gemma":[0.008075733,0.0010535108,0.7571722,0.0005829665,0.000098315206,0.000014663348,0.014175619,0.02464575,0.0014127203,0.0703056,0.11868575,0.0037771165],"about_ca_topic_score_codex":0.00004690575,"about_ca_topic_score_gemma":0.00007072815,"teacher_disagreement_score":0.21692643,"about_ca_system_score_codex":0.00012399869,"about_ca_system_score_gemma":0.00000515614,"threshold_uncertainty_score":0.7663811},"labels":[],"label_agreement":null},{"id":"W3038568310","doi":"","title":"Land For Sale - 20041 Grade Crescent- Langley- British Columbia V3A 4J3 - Price $1,200,000","year":2017,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Aeronautics; Meteorology; History; Geography; Engineering","score_opus":0.032342492270265095,"score_gpt":0.21926387511386827,"score_spread":0.18692138284360318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038568310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59936327,0.0003566809,0.0010791556,0.0007135924,0.0012685762,0.0005079729,0.0006797674,0.00012009171,0.39591092],"genre_scores_gemma":[0.93179995,0.0008715253,0.0026704804,0.00047185234,0.0005939287,0.000060036517,0.00007066521,0.000079047284,0.06338253],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985275,0.0000058730498,0.00047195147,0.00047565447,0.000023338487,0.0004956778],"domain_scores_gemma":[0.99877816,0.000051435567,0.00037520495,0.0006200475,0.000030814652,0.00014430318],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00047325486,0.0001294375,0.00042342747,0.00005110562,0.0006561424,0.0018780993,0.00049943116,0.00015330521,0.0022355265],"category_scores_gemma":[0.00020412644,0.00022783715,0.0001561288,0.000036909605,0.0000815166,0.00042343105,0.00010569446,0.000108156564,0.00048489263],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001786382,0.00013479672,0.811596,0.000058203965,0.00005523714,0.000007891959,0.000059215967,0.000010684705,0.0000029800972,0.0025150843,0.1811876,0.0043544425],"study_design_scores_gemma":[0.0017077898,0.00006138327,0.2643638,0.000025656449,0.000010323353,0.000012895035,0.000024922598,0.0024890725,0.000008869609,0.0135862725,0.7172127,0.00049636234],"about_ca_topic_score_codex":0.041161977,"about_ca_topic_score_gemma":0.063547015,"teacher_disagreement_score":0.5472322,"about_ca_system_score_codex":0.00009331233,"about_ca_system_score_gemma":0.00002294804,"threshold_uncertainty_score":0.999158},"labels":[],"label_agreement":null},{"id":"W3040097924","doi":"10.53910/26531313-e200471424-426225","title":"Financial incentives for behavioral change in the ecological city","year":2004,"lang":"en","type":"article","venue":"Ekistics and the new habitat","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Beijing; China; Publishing; Environmental studies; Incentive; Sustainable development; Political science; Geography; Library science; Economics; Archaeology","score_opus":0.0628152120621294,"score_gpt":0.2632144282661312,"score_spread":0.20039921620400178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040097924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97903216,0.0005496154,0.0028126503,0.0070737177,0.00068314053,0.0007082976,0.00008694104,0.000014356471,0.009039108],"genre_scores_gemma":[0.9976238,0.00032389935,0.00068816176,0.0008975754,0.00032893984,0.000059943137,0.000008357477,0.000008745081,0.000060568324],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992635,0.000014030397,0.00028011051,0.00019789081,0.000016528405,0.00022790613],"domain_scores_gemma":[0.9995272,0.00017595416,0.00010836711,0.00014734398,0.000008938558,0.00003218602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007500389,0.00010386968,0.0002455647,0.00004583184,0.00016906322,0.00009651398,0.00019622108,0.00007667968,0.000020286345],"category_scores_gemma":[0.00018341425,0.000072533825,0.00007930605,0.00007600911,0.00016005861,0.000075189484,0.00005230873,0.00012636317,0.000018696272],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011564043,0.00013195009,0.025735198,0.000007811582,0.000005093326,0.0000027621625,0.002315345,0.000014521914,2.6749396e-7,0.96724224,0.00041349928,0.00401568],"study_design_scores_gemma":[0.0035116808,0.00013726628,0.14360252,0.000008232244,0.000010702246,0.000003498139,0.00009643871,0.00058086123,0.0000017783739,0.81957215,0.032299515,0.00017535381],"about_ca_topic_score_codex":0.00046272,"about_ca_topic_score_gemma":0.0012968412,"teacher_disagreement_score":0.14767009,"about_ca_system_score_codex":0.000050862578,"about_ca_system_score_gemma":0.000021693353,"threshold_uncertainty_score":0.29578435},"labels":[],"label_agreement":null},{"id":"W3040608626","doi":"","title":"Residential Mortgage Default : The Roles of House Price Volatility, Euphoria and the Borrower's Put Option, Working Paper 10-02","year":2010,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Mortgage underwriting; Economics; Default risk; Shared appreciation mortgage; Synthetic CDO; House price; Loan; Quarter (Canadian coin); Mortgage insurance; Moral hazard; Monetary economics; Actuarial science; Financial economics; Finance; Microeconomics; Incentive; Credit risk; Insurance policy","score_opus":0.01415186339392227,"score_gpt":0.20020296473856633,"score_spread":0.18605110134464406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040608626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.872031,0.00040206005,0.00077396765,0.0017193777,0.0007356202,0.00027414944,0.000010767722,0.000057341716,0.123995736],"genre_scores_gemma":[0.9968243,0.00044450996,0.00047288046,0.00020540973,0.00027137765,0.000014463609,0.0000022417971,0.00003389354,0.0017308764],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986723,0.000035953068,0.0006652403,0.00032838676,0.000039925864,0.0002581933],"domain_scores_gemma":[0.99862784,0.00030698554,0.00037497614,0.0005950683,0.000038553913,0.000056562818],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022428292,0.00015679152,0.00034363696,0.0000804918,0.0002771541,0.00022707575,0.00038931074,0.00013623845,0.0010858437],"category_scores_gemma":[0.000331758,0.000111089284,0.00012308557,0.00014090852,0.00031397256,0.0002630347,0.00019544913,0.00030046262,0.000082924154],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006385327,0.00017163108,0.23702024,0.00006334174,0.00029823714,0.0000030761885,0.005743053,0.00019926504,0.0005167242,0.73053914,0.010880702,0.01392606],"study_design_scores_gemma":[0.005516013,0.000094563904,0.25282356,0.0000458187,0.000117361895,0.000031360316,0.0013778738,0.069267206,0.000676161,0.3049823,0.36383677,0.0012310032],"about_ca_topic_score_codex":0.00052754785,"about_ca_topic_score_gemma":0.003000042,"teacher_disagreement_score":0.42555684,"about_ca_system_score_codex":0.00002097731,"about_ca_system_score_gemma":0.000024264551,"threshold_uncertainty_score":0.9998273},"labels":[],"label_agreement":null},{"id":"W3040867922","doi":"10.25397/eur.8152748","title":"Historical Data: International monthly government bond returns","year":2023,"lang":"en","type":"article","venue":"RePub (Erasmus University, Rotterdam)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Treasury; Bond; Yield (engineering); Government bond; Maturity (psychological); Economics; Financial economics; Actuarial science; Business; Econometrics; Finance; Monetary economics; Political science; Law","score_opus":0.04771158032177701,"score_gpt":0.20669966438135587,"score_spread":0.15898808405957887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040867922","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3031629,0.0001057434,0.0004960588,0.008784857,0.004716856,0.000263698,0.0009670221,0.00033761206,0.6811653],"genre_scores_gemma":[0.955366,0.0009672986,0.0007281221,0.0002891466,0.00062243134,0.000001843626,0.00027492433,0.000050692528,0.041699547],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984636,0.000014803852,0.0003828185,0.00068032596,0.00009939473,0.0003591152],"domain_scores_gemma":[0.9987041,0.00005914237,0.00026650607,0.00081103464,0.000021879616,0.00013739047],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005894503,0.00017060715,0.0003315727,0.00026276015,0.00018045743,0.000106165906,0.0009976143,0.00013007528,0.00043756116],"category_scores_gemma":[0.00009415777,0.00023850995,0.00011973495,0.00032305144,0.00003796775,0.0006289471,0.0009391175,0.00020135276,0.0009129401],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016834466,0.00023490966,0.16355541,0.000039326682,0.0002859867,0.00037858819,0.0007548401,0.00038073582,0.000036822436,0.031622145,0.79850656,0.0040363087],"study_design_scores_gemma":[0.00074730325,0.00002750041,0.016687665,0.00000936189,0.000010533638,0.0000045776974,0.00020897992,0.0068503143,0.000005884562,0.0016789171,0.9734659,0.00030301404],"about_ca_topic_score_codex":0.00042260106,"about_ca_topic_score_gemma":0.00012330925,"teacher_disagreement_score":0.6522031,"about_ca_system_score_codex":0.0020300802,"about_ca_system_score_gemma":0.00002950154,"threshold_uncertainty_score":0.99986494},"labels":[],"label_agreement":null},{"id":"W3041099458","doi":"10.1108/jerer-03-2020-0021","title":"Combining realized measures to forecast REIT volatility","year":2020,"lang":"en","type":"article","venue":"Journal of European real estate research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Real estate investment trust; Volatility (finance); Econometrics; Real estate; Economics; Estimator; Realized variance; Actuarial science; Computer science; Financial economics; Statistics; Finance; Mathematics","score_opus":0.26687734134457947,"score_gpt":0.3360902162847632,"score_spread":0.06921287494018374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041099458","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42230436,0.00004371644,0.0006908225,0.0021793004,0.00015879209,0.000119500124,0.000019466246,0.000016626826,0.5744674],"genre_scores_gemma":[0.9943639,0.0034939947,0.0012271601,0.00016815639,0.00045474875,9.978093e-7,0.0000030600404,0.000060836872,0.0002271159],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99745595,0.0003492423,0.0012088363,0.00031483505,0.00016314231,0.0005080057],"domain_scores_gemma":[0.9981304,0.00021800878,0.0004589574,0.00027250167,0.0003097819,0.000610375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008985391,0.00014101695,0.0005249308,0.00038629328,0.00017516688,0.00023304581,0.00060458714,0.000043319327,0.00014548059],"category_scores_gemma":[0.0017457432,0.00014730604,0.00017215837,0.0004898207,0.0000867754,0.0002857612,0.00022572462,0.00068956765,0.0005889109],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007237249,0.00067663065,0.15143706,0.0004430291,0.0006742481,0.0020274885,0.03647902,0.0034387715,0.0021922237,0.030998908,0.085644916,0.67875046],"study_design_scores_gemma":[0.0033966957,0.0026520307,0.048104394,0.00016144187,0.000016265876,0.000079231526,0.0012170782,0.011867083,0.0002033109,0.0059127924,0.9256938,0.0006958393],"about_ca_topic_score_codex":0.0002299252,"about_ca_topic_score_gemma":0.000028327,"teacher_disagreement_score":0.8400489,"about_ca_system_score_codex":0.000169111,"about_ca_system_score_gemma":0.0001009967,"threshold_uncertainty_score":0.75694543},"labels":[],"label_agreement":null},{"id":"W3041935143","doi":"10.1093/ej/ueaa088","title":"House Prices and Growth with Fixed Land Supply","year":2020,"lang":"en","type":"article","venue":"The Economic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Economic and Social Research Council; York University","keywords":"Economics; House price; Term (time); Natural resource economics; Economy; Market economy; Econometrics","score_opus":0.019608599408407243,"score_gpt":0.17568000486169438,"score_spread":0.15607140545328713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041935143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9693502,0.0005367837,0.00052617944,0.00814656,0.00026399456,0.00010534331,0.000026314108,0.000045069406,0.020999547],"genre_scores_gemma":[0.9957652,0.0018782631,0.0005111381,0.0010457864,0.0006408066,0.0000031989725,0.0000012553077,0.00004603642,0.00010829537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989898,0.000013077169,0.00045156654,0.00025305012,0.00001545303,0.00027704635],"domain_scores_gemma":[0.9991696,0.00009006224,0.00038857723,0.00015153756,0.000010932185,0.00018930096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005350698,0.00015358828,0.00033465572,0.00006649242,0.00024429217,0.00036426992,0.00030649328,0.00005814466,0.00040461464],"category_scores_gemma":[0.00003744032,0.00012130236,0.000064423104,0.000044618253,0.00009762978,0.00036927804,0.00006831336,0.0003121766,0.0005890034],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027025057,0.000021499536,0.9467024,0.00003449055,0.00024131131,0.00001743031,0.0028026178,0.00082861376,0.0000070035876,0.040089335,0.0071486756,0.001836346],"study_design_scores_gemma":[0.011764084,0.0016477386,0.5234038,0.00010952299,0.00016267165,0.002044251,0.0018616008,0.039643887,0.00023178704,0.18400931,0.23215142,0.0029698848],"about_ca_topic_score_codex":0.000104782885,"about_ca_topic_score_gemma":0.00006562173,"teacher_disagreement_score":0.4232986,"about_ca_system_score_codex":0.000100076715,"about_ca_system_score_gemma":0.000054903732,"threshold_uncertainty_score":0.75706434},"labels":[],"label_agreement":null},{"id":"W3042292928","doi":"","title":"Long-run Trends in Housing Price Growth | Bulletin – September Quarter 2015","year":2015,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economics; Geography; Archaeology","score_opus":0.03500397161481384,"score_gpt":0.23204021250563728,"score_spread":0.19703624089082344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042292928","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0707122,0.0013522472,0.0014019274,0.47822154,0.002232351,0.00055885484,0.00012984569,0.00029008416,0.44510096],"genre_scores_gemma":[0.9968898,0.000126448,0.0012784062,0.0006401237,0.00029339723,0.000023642737,0.00005106603,0.00009141275,0.00060566486],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969856,0.000058264195,0.0014073147,0.0007379588,0.00010230169,0.0007085232],"domain_scores_gemma":[0.9982903,0.00009039934,0.0006479022,0.00058995816,0.00009114123,0.00029029883],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015982646,0.00038253074,0.00089892966,0.0008793854,0.000068539164,0.00009906356,0.0004461814,0.0002504112,0.004376999],"category_scores_gemma":[0.00014587013,0.00047316172,0.00023562885,0.00048209584,0.00013575424,0.00016386654,0.00016567172,0.000348067,0.005820774],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020451605,0.00043344212,0.035561092,0.000070632144,0.00007018717,0.000029975254,0.0011167336,0.0004714661,0.000009020899,0.0030220258,0.9589017,0.00010917727],"study_design_scores_gemma":[0.0023189196,0.00017242575,0.014589932,0.00006601101,0.000014033289,0.000017898694,0.00015623626,0.000804182,0.000055390734,0.0019861567,0.97904974,0.00076907215],"about_ca_topic_score_codex":0.00038729172,"about_ca_topic_score_gemma":0.0001261945,"teacher_disagreement_score":0.9261776,"about_ca_system_score_codex":0.00024528708,"about_ca_system_score_gemma":0.00003923373,"threshold_uncertainty_score":0.999772},"labels":[],"label_agreement":null},{"id":"W3042432146","doi":"","title":"Partial Mortgage Prepayments and Housing Credit Growth | Bulletin – September Quarter 2013","year":2013,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Business; Finance; Advertising; Geography; Archaeology","score_opus":0.01729712048898086,"score_gpt":0.19542297299763978,"score_spread":0.17812585250865892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042432146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5150802,0.0009413889,0.0012110557,0.3455141,0.0021626726,0.0016588869,0.00020238962,0.00034497134,0.13288431],"genre_scores_gemma":[0.9966137,0.0004323029,0.0013660905,0.0006881148,0.00035571778,0.00006950042,0.00002675669,0.000075601194,0.0003722603],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975024,0.000038755057,0.0011136266,0.00068827934,0.00007377136,0.00058317464],"domain_scores_gemma":[0.9985648,0.000098493714,0.0005652799,0.00047844727,0.000066753484,0.00022625313],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005913823,0.00033955477,0.00068703166,0.0002391259,0.0001576128,0.00017356311,0.00027245583,0.00019062155,0.012725667],"category_scores_gemma":[0.0000772251,0.0003986393,0.00017592032,0.00010829008,0.00018218985,0.00020908548,0.00018719719,0.00023485089,0.008724484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052752188,0.0002164945,0.017914573,0.00011609135,0.00012619639,0.000005112054,0.00052146806,0.000056631197,0.00008769131,0.001982372,0.978833,0.00008762184],"study_design_scores_gemma":[0.0012821048,0.00015381615,0.012284788,0.00006062099,0.000026048438,0.000012975784,0.000108722,0.0019626152,0.00018776927,0.0031199136,0.9800901,0.0007105617],"about_ca_topic_score_codex":0.0007098225,"about_ca_topic_score_gemma":0.000017208104,"teacher_disagreement_score":0.48153344,"about_ca_system_score_codex":0.00005891808,"about_ca_system_score_gemma":0.0000139877875,"threshold_uncertainty_score":0.9998466},"labels":[],"label_agreement":null},{"id":"W3042630863","doi":"","title":"Housing Wealth Effects: Evidence from New Vehicle Registrations | Bulletin – September Quarter 2015","year":2015,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); History","score_opus":0.055600459321448616,"score_gpt":0.25088119716236684,"score_spread":0.19528073784091823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042630863","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08496687,0.0055380776,0.01176063,0.8401786,0.0031893733,0.0011505994,0.00018497717,0.00041980398,0.05261108],"genre_scores_gemma":[0.99190575,0.00033674648,0.00552406,0.0009104952,0.0006856524,0.000020275746,0.000042177548,0.000074529045,0.0005003386],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99742234,0.000070679176,0.0011793746,0.00070634304,0.000105813924,0.0005154528],"domain_scores_gemma":[0.99757093,0.00035760875,0.00075367076,0.00080095476,0.00008181562,0.0004350142],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001038813,0.00032406658,0.00074038986,0.0002133958,0.00011998291,0.00014746707,0.00043936036,0.00020537834,0.0020985203],"category_scores_gemma":[0.00047074104,0.00039800463,0.00020692353,0.00020055212,0.00012223853,0.00022087536,0.00012364217,0.00029009668,0.009256971],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011546822,0.00012263638,0.0057567745,0.000053724383,0.0000655813,0.0000073118717,0.0010219234,0.00039601818,0.00006853163,0.0008325911,0.9914906,0.000068855894],"study_design_scores_gemma":[0.0015236681,0.00023496353,0.0039144075,0.00025871562,0.00003404144,0.0000052096852,0.00015034583,0.0013237832,0.00024749737,0.00577381,0.98591244,0.0006211272],"about_ca_topic_score_codex":0.0030137182,"about_ca_topic_score_gemma":0.00022172718,"teacher_disagreement_score":0.90693885,"about_ca_system_score_codex":0.00019912694,"about_ca_system_score_gemma":0.00013668825,"threshold_uncertainty_score":0.9998472},"labels":[],"label_agreement":null},{"id":"W3042697225","doi":"","title":"Foreign Investment in Residential Real Estate | Bulletin – June Quarter 2014","year":2014,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Real estate; Investment (military); Business; Finance; History; Political science; Law; Archaeology","score_opus":0.015806021131192272,"score_gpt":0.2016984737837226,"score_spread":0.18589245265253032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042697225","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09149374,0.00011987739,0.0007711038,0.23769513,0.0015422014,0.00071909744,0.00009812484,0.00015552978,0.6674052],"genre_scores_gemma":[0.99553657,0.0015152148,0.0014218643,0.00071096345,0.0002903687,0.000043738324,0.000049224367,0.00007175929,0.00036031433],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99712753,0.00007525082,0.0014353793,0.00067951187,0.000076491604,0.0006058449],"domain_scores_gemma":[0.9983914,0.0001411884,0.0006188051,0.00064562925,0.000034676577,0.00016833775],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0016514715,0.0003148028,0.00078566466,0.00048703194,0.00008571511,0.000077405224,0.0004069863,0.00018497165,0.003126127],"category_scores_gemma":[0.00013061911,0.00039025227,0.00020548295,0.00015162214,0.00015230021,0.00009237564,0.00013750399,0.00025755048,0.0053819283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028122892,0.00037339627,0.008795047,0.0001372954,0.000074254254,0.000014091062,0.0010736521,0.0007310175,0.00009201491,0.06859104,0.91961575,0.00022123205],"study_design_scores_gemma":[0.0015697471,0.00016239395,0.0062183742,0.000044935776,0.000010040132,0.0000055586393,0.000094343166,0.0014066593,0.00011353348,0.01175926,0.9781224,0.00049275585],"about_ca_topic_score_codex":0.0013449257,"about_ca_topic_score_gemma":0.000359124,"teacher_disagreement_score":0.90404284,"about_ca_system_score_codex":0.00011931265,"about_ca_system_score_gemma":0.000023055401,"threshold_uncertainty_score":0.9998549},"labels":[],"label_agreement":null},{"id":"W3042725056","doi":"10.1108/jerer-12-2019-0057","title":"Rent dynamics in France between 1970 and 2013","year":2020,"lang":"en","type":"article","venue":"Journal of European real estate research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Agence Nationale de la Recherche","keywords":"Economic rent; Renting; Economics; Valuation (finance); Index (typography); Hedonic regression; Value (mathematics); Market value; Economy; Public economics; Microeconomics; Econometrics; Finance","score_opus":0.10904436933921553,"score_gpt":0.30320513515063613,"score_spread":0.1941607658114206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042725056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7649383,0.00018830464,0.00012157001,0.0031200345,0.00007699853,0.0000685459,0.000021648746,0.0000054760662,0.23145913],"genre_scores_gemma":[0.9623518,0.036661915,0.00038922398,0.00004412202,0.00034674772,3.982975e-7,0.0000033635727,0.000035893525,0.00016654278],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983338,0.00015952722,0.000857047,0.00022305481,0.00007657075,0.00034999772],"domain_scores_gemma":[0.9990302,0.00016460392,0.0003244401,0.00013582381,0.00007490646,0.00027004874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038466274,0.00009960974,0.0003874483,0.00034566995,0.0000660441,0.00012459792,0.00032067968,0.000039057446,0.000041101892],"category_scores_gemma":[0.00025494283,0.00010666196,0.00006469976,0.0002984195,0.00010386411,0.0002460704,0.00015537269,0.00068744837,0.00019829675],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011906079,0.000078988654,0.84826916,0.00012283305,0.00005992645,0.0004162549,0.0023716781,0.0003903959,0.00002198778,0.004470457,0.0029239263,0.14075536],"study_design_scores_gemma":[0.0031154335,0.001363405,0.727462,0.00018183353,0.000009496552,0.000046545323,0.0010960466,0.033130527,0.000017996928,0.006517885,0.22644345,0.0006153742],"about_ca_topic_score_codex":0.0003229161,"about_ca_topic_score_gemma":0.00004802998,"teacher_disagreement_score":0.23129259,"about_ca_system_score_codex":0.00016903871,"about_ca_system_score_gemma":0.00003662272,"threshold_uncertainty_score":0.43495485},"labels":[],"label_agreement":null},{"id":"W3044130391","doi":"10.2139/ssrn.3616555","title":"iBuyers: Liquidity in Real Estate Markets?","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Intermediation; Adverse selection; Market liquidity; Real estate; Valuation (finance); Business; Information asymmetry; Economics; Actuarial science; Finance","score_opus":0.02508607193126672,"score_gpt":0.2147858901043657,"score_spread":0.18969981817309897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3044130391","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87816644,0.0005013012,0.0015070233,0.0037619448,0.00030217692,0.00009871907,0.000010385021,0.00004011879,0.115611896],"genre_scores_gemma":[0.9303112,0.06869538,0.00010860002,0.0002554766,0.00035546062,0.0000030866472,0.0000042189613,0.0000341069,0.00023249054],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971745,0.000035774094,0.000661937,0.00032289498,0.000030695337,0.0017742269],"domain_scores_gemma":[0.9993387,0.00003709782,0.0003065124,0.00014755178,0.000014907578,0.00015522075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022602128,0.00016345247,0.00037419135,0.00015949068,0.00009931569,0.000102852304,0.0003165651,0.00009988324,0.00025383808],"category_scores_gemma":[0.00013223305,0.00019949432,0.00013552558,0.00021612566,0.000034968383,0.0003598944,0.000054334945,0.0013513968,0.0004345908],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014993352,0.00037345456,0.35197574,0.000077135956,0.0004579113,0.000099822064,0.0047648996,0.0014293694,0.000081088525,0.4365467,0.0037552163,0.19893932],"study_design_scores_gemma":[0.0050666127,0.0010310609,0.026587859,0.000036485686,0.000023894341,0.00024664437,0.003399206,0.02506062,0.000046615423,0.78145707,0.15545714,0.0015867783],"about_ca_topic_score_codex":0.0003367988,"about_ca_topic_score_gemma":0.000910636,"teacher_disagreement_score":0.34491038,"about_ca_system_score_codex":0.00096740195,"about_ca_system_score_gemma":0.00043570832,"threshold_uncertainty_score":0.81351423},"labels":[],"label_agreement":null},{"id":"W3044617247","doi":"","title":"Shadow Bank Lending to the Residential Property Market | Bulletin – September Quarter 2017","year":2017,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Shadow (psychology); Business; Property (philosophy); Financial system; Geography","score_opus":0.03735861576528065,"score_gpt":0.23421120290308595,"score_spread":0.1968525871378053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3044617247","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0047211596,0.0001397856,0.00034432608,0.5225845,0.0017737326,0.00062009046,0.00013873006,0.000068875284,0.46960878],"genre_scores_gemma":[0.98955184,0.00019440784,0.0007344412,0.001125136,0.0007685331,0.00006292944,0.0000121469,0.00007486263,0.0074756844],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.997383,0.00005367358,0.0010509884,0.0007601986,0.000099349854,0.00065280014],"domain_scores_gemma":[0.9969859,0.00010313576,0.00089938124,0.00175369,0.000063615786,0.00019425343],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0019419004,0.0003472794,0.00068536046,0.00022446265,0.00084099785,0.0005160688,0.0014096767,0.00017570257,0.014207152],"category_scores_gemma":[0.00040774295,0.00028453878,0.00030910582,0.000068796224,0.00020963646,0.00017750444,0.0004939994,0.00031793045,0.014576859],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014920664,0.00007354812,0.0040763128,0.000043183514,0.00007429968,0.000007898076,0.00042472052,0.000050554223,0.000018397785,0.0011543834,0.9938234,0.000104112776],"study_design_scores_gemma":[0.0005977211,0.00007893234,0.018260939,0.000069584996,0.000016829808,0.000012890783,0.00006866072,0.00039310503,0.00005032284,0.0006709458,0.9793411,0.00043894854],"about_ca_topic_score_codex":0.000587574,"about_ca_topic_score_gemma":0.00024442593,"teacher_disagreement_score":0.9848307,"about_ca_system_score_codex":0.00008799914,"about_ca_system_score_gemma":0.000028895969,"threshold_uncertainty_score":0.99996066},"labels":[],"label_agreement":null},{"id":"W3046343117","doi":"10.5539/jsd.v13n4p115","title":"Evaluating the Building Technology Stimulus Initiative Offered by Ministry of Housing within the Kingdom’s Vision 2030","year":2020,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"King Saud University","keywords":"Christian ministry; Stimulus (psychology); Scope (computer science); Business; Economic growth; Marketing; Economics; Political science; Psychology; Computer science","score_opus":0.06096978141248246,"score_gpt":0.28838804639266735,"score_spread":0.2274182649801849,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046343117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98704636,0.00061294466,0.0044640647,0.0061589535,0.00020701358,0.00021512507,0.0000035764024,0.000011178114,0.0012807739],"genre_scores_gemma":[0.9928569,0.000054152915,0.0065097073,0.0004044179,0.00007668005,0.0000054542024,0.0000011122854,0.000023626782,0.00006795386],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99800396,0.000046918194,0.0013352631,0.0001968112,0.000097862,0.0003191851],"domain_scores_gemma":[0.9973912,0.00018879806,0.0019420338,0.00016331454,0.00024683072,0.00006782232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028199765,0.00015977358,0.00046109952,0.00020355778,0.00035426894,0.000112013986,0.0005038234,0.000104390914,0.000040557843],"category_scores_gemma":[0.0010363063,0.00011802847,0.0000886875,0.00046601135,0.00012577562,0.0002529885,0.00022645608,0.00039860926,0.000006130328],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0043969527,0.0016099245,0.21971913,0.0027654788,0.004441714,0.00069855363,0.20367713,0.10425586,0.014670899,0.28808746,0.03074537,0.12493153],"study_design_scores_gemma":[0.015654678,0.0065837023,0.040964276,0.0014758701,0.00037987786,0.00025911923,0.31644642,0.14317872,0.05198841,0.14661923,0.27259088,0.0038588317],"about_ca_topic_score_codex":0.00001456031,"about_ca_topic_score_gemma":0.000001045764,"teacher_disagreement_score":0.24184552,"about_ca_system_score_codex":0.0003748044,"about_ca_system_score_gemma":0.00039702823,"threshold_uncertainty_score":0.48130614},"labels":[],"label_agreement":null},{"id":"W304658698","doi":"","title":"How Much Should People Save","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Quarter (Canadian coin); Economics; Business; Low income; Index (typography); Labour economics; Savings account; Demographic economics; Finance","score_opus":0.06667047905269494,"score_gpt":0.2878467883638404,"score_spread":0.22117630931114549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W304658698","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39306852,0.00039744194,0.00010540657,0.003620227,0.0023328234,0.000995256,0.00027151618,0.00012715849,0.59908164],"genre_scores_gemma":[0.97390336,0.015087391,0.0010224195,0.00025764207,0.0010179774,0.00032245135,0.00018802754,0.00025099923,0.007949721],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9940364,0.00017682007,0.0016116676,0.0022723922,0.000114660485,0.0017880908],"domain_scores_gemma":[0.9956326,0.00060427387,0.00082793494,0.0023983147,0.00010151326,0.00043534723],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.004974204,0.00072108174,0.0019298759,0.0015343523,0.0003008194,0.0011774211,0.0017015144,0.0013312654,0.00042493964],"category_scores_gemma":[0.001112502,0.00097107876,0.0005709719,0.00025426564,0.00034556442,0.00031580965,0.0019772286,0.003060159,0.00035047712],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050382013,0.0012413643,0.28607813,0.002171243,0.0010128096,0.00010456884,0.0039264755,0.020363392,0.0000410711,0.15694024,0.0059313457,0.52168554],"study_design_scores_gemma":[0.0021362172,0.00022464013,0.015662666,0.00028103858,0.000019214556,0.000024405994,0.001063784,0.11615104,0.00008049241,0.18571244,0.67564416,0.002999879],"about_ca_topic_score_codex":0.00041117903,"about_ca_topic_score_gemma":0.0017833502,"teacher_disagreement_score":0.66971284,"about_ca_system_score_codex":0.0019665693,"about_ca_system_score_gemma":0.00032545847,"threshold_uncertainty_score":0.9999652},"labels":[],"label_agreement":null},{"id":"W3046777476","doi":"10.1016/j.econlet.2021.110010","title":"The impact of the COVID-19 pandemic on the demand for density: Evidence from the U.S. housing market","year":2021,"lang":"en","type":"article","venue":"Economics Letters","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":278,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Supply and demand; Demographic economics; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Population; Business; 2019-20 coronavirus outbreak; Economics; Labour economics; Demography; Microeconomics; Virology","score_opus":0.07357469732458807,"score_gpt":0.2581155627304728,"score_spread":0.18454086540588474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046777476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94533736,0.00059483637,0.0009894115,0.049938362,0.0009378789,0.0004638368,0.00023200773,0.000019112327,0.0014871769],"genre_scores_gemma":[0.9826477,0.002171459,0.00009351875,0.01446806,0.00037770768,0.00004014576,0.000007738522,0.000046649417,0.00014701509],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981316,0.00014630161,0.00074586185,0.00050527125,0.000029752511,0.00044122984],"domain_scores_gemma":[0.99208,0.005801656,0.000744371,0.0012557611,0.00002801225,0.00009019889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027563057,0.00025327344,0.00042600578,0.00003927692,0.0009842238,0.00039684225,0.000984647,0.000105770145,0.00017955017],"category_scores_gemma":[0.0017522088,0.0001464625,0.00059005676,0.00013275546,0.00033124388,0.00017630793,0.00023216645,0.00030296936,0.00004530916],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034014139,0.000044440676,0.85373855,0.00002233822,0.0006252084,0.0000022932961,0.0014020599,0.017336208,0.00023497685,0.010224015,0.11362372,0.0024060605],"study_design_scores_gemma":[0.0030219075,0.00016008127,0.5467671,0.00020230043,0.00019090032,0.000061067156,0.0011203125,0.06578022,0.0008529402,0.12884617,0.2512461,0.0017508818],"about_ca_topic_score_codex":0.000996337,"about_ca_topic_score_gemma":0.0014633806,"teacher_disagreement_score":0.3069714,"about_ca_system_score_codex":0.00065669045,"about_ca_system_score_gemma":0.00022011681,"threshold_uncertainty_score":0.7569953},"labels":[],"label_agreement":null},{"id":"W3047605342","doi":"10.26183/5e9e7d3663232","title":"Financial Planning Education and Regulatory Requirements: A Cross Country Comparison between Australia, Canada, United Kingdom and United States of America","year":2020,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Economic growth; Public administration; Business; Economics","score_opus":0.08209771603469268,"score_gpt":0.29269873298601595,"score_spread":0.21060101695132327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047605342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975611,0.00013082169,0.00038538733,0.00036226932,0.00012565515,0.000098697856,0.00020324563,0.000017195052,0.0011156031],"genre_scores_gemma":[0.99801373,0.000036707737,0.0004743797,0.0009201897,0.00008545075,0.0000029357657,0.000332606,0.000014559258,0.00011943525],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989004,0.000012719344,0.00058817153,0.00027004932,0.00003018758,0.00019842973],"domain_scores_gemma":[0.9992904,0.00006094745,0.00037498702,0.0001173398,0.000038057835,0.00011824444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001629811,0.0001306917,0.00038007632,0.00016288445,0.000095618925,0.000071052666,0.0000923244,0.00007196746,0.000060587194],"category_scores_gemma":[0.00008724589,0.00016434425,0.000016677175,0.0003044754,0.00011476195,0.0001556142,0.00005280482,0.00010973507,0.000002892597],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003155014,0.000020850945,0.98932344,0.000077615885,0.00003082428,5.2671356e-7,0.0007422554,0.0006026958,0.0000034715283,0.002727615,0.005637759,0.0008013871],"study_design_scores_gemma":[0.00065913267,0.00009994282,0.683722,0.000044195916,0.000017525323,7.8662663e-7,0.00051731855,0.015971258,0.000058435155,0.0012034787,0.29734004,0.00036587776],"about_ca_topic_score_codex":0.38436082,"about_ca_topic_score_gemma":0.0100880535,"teacher_disagreement_score":0.37427276,"about_ca_system_score_codex":0.00009642812,"about_ca_system_score_gemma":0.000119654644,"threshold_uncertainty_score":0.6701764},"labels":[],"label_agreement":null},{"id":"W3081155005","doi":"","title":"A Close Look at the Decline of Homeownership","year":2017,"lang":"en","type":"article","venue":"Liberty Street Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Fell; Demographic economics; Economics; Labour economics; Geography","score_opus":0.03954156535151487,"score_gpt":0.22553157833773738,"score_spread":0.1859900129862225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081155005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7860541,0.00026787166,0.00006325513,0.0033023553,0.0008216883,0.00018966799,0.00024808932,0.00002654054,0.20902649],"genre_scores_gemma":[0.99130285,0.0014301972,0.00038126286,0.00063544867,0.000301378,0.000017259905,0.00003188974,0.00005809282,0.005841644],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99802095,0.000015625588,0.00096592505,0.00053649535,0.00002003879,0.0004409588],"domain_scores_gemma":[0.99637944,0.00015756203,0.0013959778,0.0019159613,0.000022368586,0.00012870504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089187373,0.00025522217,0.0006483067,0.00010810489,0.00054103055,0.00024827415,0.0012485733,0.00018372094,0.0006736256],"category_scores_gemma":[0.00021096808,0.00024045918,0.00029846787,0.000036980404,0.00040409243,0.00045262047,0.00071736914,0.00018123937,0.00070248876],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018119517,0.00015191983,0.73753005,0.000060064318,0.00022223873,0.0000041429003,0.00048837694,0.00035897264,0.0000087642375,0.23054793,0.008813638,0.021632694],"study_design_scores_gemma":[0.0027654136,0.00016541865,0.12944686,0.000036900336,0.000047500846,0.000012605736,0.00019570702,0.012210832,0.0010076597,0.18383025,0.669114,0.001166851],"about_ca_topic_score_codex":0.00076620554,"about_ca_topic_score_gemma":0.0040775114,"teacher_disagreement_score":0.6603004,"about_ca_system_score_codex":0.00018085582,"about_ca_system_score_gemma":0.000042969958,"threshold_uncertainty_score":0.9805641},"labels":[],"label_agreement":null},{"id":"W3082179130","doi":"10.2139/ssrn.3177790","title":"A Behavioral Interpretation of the NAV Discount Puzzle in Listed Real Estate Companies (Version Aug 2017)","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Interpretation (philosophy); Real estate; Estate; Business; Behavioral economics; Financial economics; Actuarial science; Economics; Finance; Computer science","score_opus":0.021368572967630763,"score_gpt":0.2535600122843708,"score_spread":0.23219143931674005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082179130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9712246,0.0001180951,0.0002198079,0.00041229103,0.00052844884,0.000092301736,0.000017744962,0.0000056995327,0.027380994],"genre_scores_gemma":[0.99304813,0.0063869,0.00002782271,0.000008129534,0.000056553712,0.000002219775,0.000003931066,0.000014995384,0.0004513449],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985477,0.000025197194,0.00050065253,0.0001693727,0.000036372112,0.00072073797],"domain_scores_gemma":[0.99875,0.000017001315,0.0008330828,0.00034269132,0.000024713092,0.000032521104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013269827,0.00010990115,0.00027295813,0.00012394959,0.00035949907,0.00015229938,0.0005298981,0.00006537621,0.00002706477],"category_scores_gemma":[0.000053384156,0.00010089487,0.00013168657,0.00005006917,0.00010577039,0.00047788065,0.00009707503,0.0006546789,0.000029031253],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005940184,0.00043268898,0.7801466,0.000037911323,0.00015374189,0.000006860933,0.0053016595,0.0011256405,0.00011185921,0.12313363,0.0002560676,0.08869929],"study_design_scores_gemma":[0.004419884,0.00061776995,0.63370407,0.0002245434,0.00006211665,0.00016043663,0.004135497,0.040991746,0.000118795244,0.30778727,0.0069097313,0.0008681431],"about_ca_topic_score_codex":0.0033725428,"about_ca_topic_score_gemma":0.021084609,"teacher_disagreement_score":0.18465364,"about_ca_system_score_codex":0.00081515237,"about_ca_system_score_gemma":0.00021754591,"threshold_uncertainty_score":0.9967781},"labels":[],"label_agreement":null},{"id":"W3082397494","doi":"","title":"2013-02: The GST and mortgage costs: Australian evidence (Working paper)","year":2013,"lang":"en","type":"article","venue":"Griffith Research Online (Griffith University, Queensland, Australia)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Basis point; Robustness (evolution); Yield (engineering); Quarter (Canadian coin); Economics; Value (mathematics); Monetary economics; Finance; Business; Actuarial science; Interest rate; Statistics; Geography","score_opus":0.21828938552569996,"score_gpt":0.3224381691946256,"score_spread":0.10414878366892563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082397494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95868,0.00055406714,0.000047761074,0.025617683,0.0004716692,0.0011288591,0.00027587733,0.0001235217,0.013100617],"genre_scores_gemma":[0.96623206,0.0060360767,0.000758436,0.00022273709,0.0005473201,0.000011416249,0.00007627758,0.000063154075,0.026052514],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99608135,0.00030713557,0.00072393916,0.0011164752,0.00026979292,0.001501325],"domain_scores_gemma":[0.99704677,0.00073660765,0.0003596463,0.0010189709,0.00026083607,0.0005771981],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002424029,0.0004585352,0.00069016445,0.0006836141,0.0010660589,0.00076561776,0.0013153175,0.00040957032,0.0018943154],"category_scores_gemma":[0.00033977578,0.00043618798,0.00019919992,0.00097272755,0.0008830507,0.0013097817,0.0006871971,0.0016897245,0.0015630026],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003941737,0.0005420964,0.7034186,0.00026165045,0.0004443156,0.0002595629,0.0015724619,0.00034292563,0.00021990626,0.050324023,0.23116934,0.011050929],"study_design_scores_gemma":[0.00195688,0.00037592242,0.53296465,0.00040608807,0.000047285655,0.000059794973,0.0041338783,0.0016132529,0.000025762774,0.0050311303,0.4522067,0.0011786526],"about_ca_topic_score_codex":0.025256662,"about_ca_topic_score_gemma":0.008270601,"teacher_disagreement_score":0.22103736,"about_ca_system_score_codex":0.0005710448,"about_ca_system_score_gemma":0.00011054453,"threshold_uncertainty_score":0.99980897},"labels":[],"label_agreement":null},{"id":"W3082675488","doi":"10.24149/gwp398","title":"How Do Housing Markets Affect Local Consumer Prices? - Evidence from U.S. Cities","year":2020,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Economics; Collateral; House price; Welfare; Monetary economics; Affect (linguistics); Market economy; Finance","score_opus":0.05554079077503439,"score_gpt":0.21741043407793914,"score_spread":0.16186964330290476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082675488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8241103,0.005321514,0.07481591,0.008551057,0.0008433776,0.00031399526,0.00009064616,0.00026894812,0.08568423],"genre_scores_gemma":[0.99305797,0.0016322233,0.0030102292,0.0016076395,0.00029155964,0.00001022681,0.000010400044,0.00004905056,0.0003306773],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983896,0.000025211004,0.0004597377,0.000673779,0.000041375344,0.0004102963],"domain_scores_gemma":[0.9987719,0.00033805915,0.00030506405,0.00034444054,0.00002270051,0.00021780562],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00040615597,0.00025455738,0.0005576531,0.00010465523,0.00013473441,0.0006678126,0.0003460454,0.00014943967,0.0018118691],"category_scores_gemma":[0.00036320978,0.0002916096,0.00016403566,0.00019237562,0.00015264102,0.0008428914,0.00016017962,0.00020364062,0.0009864968],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051957683,0.0001086524,0.8377106,0.00029931442,0.00045737138,0.00006931739,0.0034527837,0.00029570019,0.00016777655,0.02905327,0.044874854,0.08299079],"study_design_scores_gemma":[0.004559562,0.00050300726,0.19031759,0.00050340506,0.0001502059,0.000016134396,0.0042497274,0.15999773,0.0024202522,0.03743493,0.5945139,0.005333539],"about_ca_topic_score_codex":0.00056027545,"about_ca_topic_score_gemma":0.000075964635,"teacher_disagreement_score":0.647393,"about_ca_system_score_codex":0.00011801662,"about_ca_system_score_gemma":0.000034870314,"threshold_uncertainty_score":0.9999536},"labels":[],"label_agreement":null},{"id":"W3085278110","doi":"10.1108/sef-03-2019-0124","title":"Real effects of real estate: evidence from unemployment rates","year":2020,"lang":"en","type":"article","venue":"Studies in Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Economics; Unemployment; Metropolitan area; Capitalization rate; Quarter (Canadian coin); House price; Real estate investment trust; Income approach; Macroeconomics; Econometrics; Labour economics; Financial economics; Monetary economics; Finance; Geography","score_opus":0.0535162339651732,"score_gpt":0.2648350750739843,"score_spread":0.2113188411088111,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3085278110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98641163,0.003897599,0.000025060332,0.00076502375,0.0005392381,0.00021401946,0.000068709574,0.000016519092,0.008062228],"genre_scores_gemma":[0.5578739,0.44125184,0.00067504664,0.00006786943,0.00007331707,0.000018785704,0.0000027898702,0.000015795302,0.000020631256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982478,0.000015860038,0.000839257,0.0005919494,0.000012989937,0.00029212222],"domain_scores_gemma":[0.9988466,0.0003869077,0.00044862935,0.00024613173,0.000019020672,0.000052712927],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002921628,0.000218186,0.0008426254,0.00007684546,0.00006785358,0.000031084368,0.00021037573,0.000084907566,0.0000065068166],"category_scores_gemma":[0.00020145538,0.0002658758,0.000076697295,0.0001127154,0.00023508626,0.0002701251,0.00021860932,0.00012309964,0.000030044028],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049805205,0.00017966038,0.800709,0.00069842435,0.00044379084,0.000043875167,0.03031856,0.004526397,0.0001004336,0.06703091,0.0009934489,0.09445742],"study_design_scores_gemma":[0.009929217,0.0022693593,0.58482057,0.0015406717,0.00012415356,0.0000064512383,0.0049101124,0.15786445,0.0048264484,0.15096362,0.07838843,0.0043565417],"about_ca_topic_score_codex":0.0013128337,"about_ca_topic_score_gemma":0.00031944667,"teacher_disagreement_score":0.43735427,"about_ca_system_score_codex":0.0001225084,"about_ca_system_score_gemma":0.000025940795,"threshold_uncertainty_score":0.9999793},"labels":[],"label_agreement":null},{"id":"W3087343119","doi":"10.1016/j.jacceco.2020.101362","title":"Alternative evidence and views on asymmetric loan loss provisioning","year":2020,"lang":"en","type":"article","venue":"Journal of Accounting and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Non-performing loan; Loan; Econometrics; Quality (philosophy); Information asymmetry; Measure (data warehouse); Asymmetry; Economics; Actuarial science; Business; Computer science; Microeconomics; Finance; Data mining","score_opus":0.063160311080297,"score_gpt":0.24746636378331432,"score_spread":0.1843060527030173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087343119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986455,0.0018917794,0.0005957,0.0022256023,0.0004438392,0.00008601938,0.000008916605,0.0000100339375,0.008283077],"genre_scores_gemma":[0.98853076,0.008495874,0.0011079118,0.0011864062,0.0006284452,0.0000010044422,5.644058e-7,0.00002667212,0.000022362254],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984404,0.000014926814,0.00096981897,0.00031714828,0.000024401,0.00023331685],"domain_scores_gemma":[0.9980986,0.00025639593,0.00130547,0.00011794862,0.000043652453,0.00017789552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012651063,0.00017774662,0.00058698445,0.00029023163,0.00013411706,0.00035163693,0.00021267754,0.00008355473,0.000027718084],"category_scores_gemma":[0.0006683535,0.00018936857,0.000103906954,0.00012601342,0.00006292054,0.00092929875,0.000098894336,0.0003075203,0.000056431527],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00070534507,0.00018196832,0.7318185,0.00038856416,0.00041150034,0.000055076238,0.0059130606,0.0068032863,0.000032101234,0.06760763,0.0019597376,0.18412323],"study_design_scores_gemma":[0.009885281,0.005014112,0.12825389,0.0017934062,0.00022258928,0.0007966925,0.0026747808,0.3777451,0.0008199616,0.13934138,0.32934424,0.0041085794],"about_ca_topic_score_codex":0.000031595693,"about_ca_topic_score_gemma":0.00000440667,"teacher_disagreement_score":0.6035646,"about_ca_system_score_codex":0.000090828566,"about_ca_system_score_gemma":0.000031229003,"threshold_uncertainty_score":0.77222264},"labels":[],"label_agreement":null},{"id":"W3087537020","doi":"10.1142/s0116110521500050","title":"Policy-Driven Boom and Bust in the Housing Market: Evidence from Mongolia","year":2021,"lang":"en","type":"article","venue":"Asian Development Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Boom; Bust; Interest rate; Economics; Subsidy; Quarter (Canadian coin); Monetary economics; Labour economics; Market economy; Geography","score_opus":0.04712345998151615,"score_gpt":0.24816615069521486,"score_spread":0.2010426907136987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087537020","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27278098,0.30731624,0.0006130306,0.038556013,0.0005485841,0.0011631262,0.000039359496,0.00007527983,0.37890738],"genre_scores_gemma":[0.46022972,0.523355,0.009463557,0.005987577,0.00018592234,0.000073156756,0.000031667703,0.00004480792,0.0006285671],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984705,0.000065453976,0.00070528284,0.0004337992,0.000038466067,0.0002864856],"domain_scores_gemma":[0.99920434,0.00011128316,0.00022002442,0.00038222093,0.000017296947,0.00006480837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000822094,0.00017369137,0.00048758593,0.00010200322,0.000111158726,0.00015023365,0.0002687894,0.00006380103,0.00042259347],"category_scores_gemma":[0.00036713606,0.00016785681,0.00006323338,0.00037403704,0.000036766756,0.00023441155,0.00013020058,0.00015245877,0.0002209157],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012254416,0.00010742133,0.3718937,0.0013309147,0.00011574055,0.00012358482,0.0048503797,0.000004806388,0.0000065949134,0.005810219,0.012475359,0.60326904],"study_design_scores_gemma":[0.0002597836,0.0000074822765,0.4944952,0.003991364,0.000014359858,0.000019564879,0.00018219539,0.0001627307,0.000015148643,0.0028431027,0.4975381,0.00047097422],"about_ca_topic_score_codex":0.0002023055,"about_ca_topic_score_gemma":0.00041231854,"teacher_disagreement_score":0.60279804,"about_ca_system_score_codex":0.00014889176,"about_ca_system_score_gemma":0.00015508552,"threshold_uncertainty_score":0.68450016},"labels":[],"label_agreement":null},{"id":"W3092552453","doi":"10.1108/jpif-07-2020-0087","title":"Towards a taxonomy for real estate and land automated valuation systems","year":2020,"lang":"en","type":"article","venue":"Journal of Property Investment and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Valuation (finance); Computer science; Taxonomy (biology); Data science; Systematic review; Real estate; Automation; Knowledge management; Economics; Finance; Engineering","score_opus":0.0982811782649931,"score_gpt":0.23156780634061583,"score_spread":0.13328662807562275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092552453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9588325,0.0023582415,0.0038102695,0.0041467315,0.0006281012,0.00097285333,0.00007773512,0.00005284207,0.029120719],"genre_scores_gemma":[0.9665911,0.023355214,0.008532844,0.0007228805,0.00036908608,0.000055515782,0.000007740528,0.00002977401,0.00033581004],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990621,0.000013541718,0.0005802892,0.0001723034,0.000025168487,0.00014657398],"domain_scores_gemma":[0.999222,0.000021339229,0.0005626867,0.00006386601,0.00005158085,0.000078546545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056931854,0.00011219014,0.0003799447,0.00006630452,0.000076035336,0.00011812012,0.00007818757,0.00005830496,0.0000028127222],"category_scores_gemma":[0.00007739074,0.000086147884,0.00004915454,0.00006066183,0.000045079847,0.00030486402,0.000026702854,0.00007844239,0.0000049101477],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035031992,0.0007381754,0.28008103,0.003143387,0.0012611916,0.00010194098,0.020433158,0.010126552,0.0006072012,0.22436228,0.086372174,0.3692697],"study_design_scores_gemma":[0.0023464528,0.00084482826,0.007082232,0.00006928763,0.000030427951,0.000034282395,0.00011788951,0.4721908,0.000036957023,0.0033740243,0.51357996,0.00029284772],"about_ca_topic_score_codex":0.0001070488,"about_ca_topic_score_gemma":0.0000045177535,"teacher_disagreement_score":0.46206427,"about_ca_system_score_codex":0.00004850738,"about_ca_system_score_gemma":0.000048180635,"threshold_uncertainty_score":0.35130087},"labels":[],"label_agreement":null},{"id":"W3092780338","doi":"10.3390/su12208496","title":"Investigating the Unintended Consequences of the High School Equalization Policy on the Housing Market","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Residence; Spillover effect; Unintended consequences; Criticism; Demographic economics; Population; Elite; Economics; Economic growth; Public economics; Political science; Sociology; Demography; Macroeconomics","score_opus":0.03803051585315679,"score_gpt":0.24303372026213782,"score_spread":0.20500320440898104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092780338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79037064,0.000047829853,0.0002908543,0.18071976,0.00017432882,0.00058611087,0.000034908764,0.000037449438,0.027738096],"genre_scores_gemma":[0.9959367,0.000022064427,0.000045000168,0.003713059,0.0001396356,0.00001613969,0.0000017041144,0.00001621978,0.00010946535],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985984,0.00021418348,0.0005720115,0.00029877428,0.000050085375,0.00026652197],"domain_scores_gemma":[0.9983736,0.00036643495,0.0004921263,0.0005551223,0.00014046735,0.0000722476],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0017269367,0.00013800121,0.00024784124,0.0000477211,0.00039894506,0.000106617,0.0005340164,0.000069864334,0.00020666991],"category_scores_gemma":[0.014616915,0.000084918225,0.000120120494,0.0005636039,0.0011589187,0.00012254668,0.00017696709,0.00025398133,0.000013605862],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023802484,0.000019912892,0.13472609,0.00008478755,0.000023098904,2.5376576e-7,0.0013382868,0.0013815456,0.000018179313,0.86058015,0.0011492996,0.0006545687],"study_design_scores_gemma":[0.00024184506,0.000055428965,0.08074907,0.000021792006,0.0000074849395,6.706132e-7,0.0029990932,0.006186373,0.0005255719,0.90312916,0.005885877,0.00019761111],"about_ca_topic_score_codex":0.0018216121,"about_ca_topic_score_gemma":0.000044801,"teacher_disagreement_score":0.20556605,"about_ca_system_score_codex":0.00048039525,"about_ca_system_score_gemma":0.00054470665,"threshold_uncertainty_score":0.9936834},"labels":[],"label_agreement":null},{"id":"W3093344705","doi":"10.33774/apsa-2020-wfft7","title":"Local Effects of State Takeovers: Drinking water systems in Michigan","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Scrutiny; State (computer science); Financial distress; Business; Local government; Government (linguistics); Public economics; Finance; Public administration; Economic policy; Economics; Political science; Financial system; Law","score_opus":0.02094595457826747,"score_gpt":0.19473397223697014,"score_spread":0.17378801765870266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093344705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9129081,0.0007785393,0.020052379,0.00025252573,0.0032227284,0.0007137341,0.000052111784,0.00008146344,0.06193847],"genre_scores_gemma":[0.9986091,0.00045443964,0.00028844725,0.000105232044,0.00009673113,0.000031182684,0.00005070526,0.00006152806,0.00030261875],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997605,0.000029640198,0.0012167335,0.0006963882,0.00003161501,0.0004206071],"domain_scores_gemma":[0.9989088,0.00008012268,0.00043135337,0.00046501373,0.000016818609,0.00009785951],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000533901,0.00031052416,0.0011527111,0.00034972435,0.00002509397,0.0001298473,0.000397113,0.0002960491,0.00008313139],"category_scores_gemma":[0.00004098003,0.00032608397,0.00019646529,0.000081067345,0.00006298051,0.00010903818,0.00058585586,0.0004943844,0.00035619823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075781555,0.0012990158,0.31992117,0.03734478,0.0025151437,0.0005727299,0.04670032,0.360926,0.0015844407,0.20809446,0.0033164732,0.016967658],"study_design_scores_gemma":[0.007149455,0.0005006695,0.020177998,0.0029973695,0.000103328675,0.000013943042,0.0011943834,0.5373456,0.022457283,0.33869803,0.06363919,0.0057227877],"about_ca_topic_score_codex":0.0028510108,"about_ca_topic_score_gemma":0.00047005984,"teacher_disagreement_score":0.29974318,"about_ca_system_score_codex":0.00017016375,"about_ca_system_score_gemma":0.000035358673,"threshold_uncertainty_score":0.9999191},"labels":[],"label_agreement":null},{"id":"W3094150389","doi":"10.5539/ijef.v12n11p83","title":"Cause Determination of the Adjustable-Rate Mortgage Market Collapse During the Financial Crisis","year":2020,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Default; Foreclosure; Financial crisis; Economics; Financial system; Narrative; Monetary economics; Finance; Keynesian economics","score_opus":0.019808607285493673,"score_gpt":0.20473443498058333,"score_spread":0.18492582769508967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094150389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98700744,0.00047698335,0.00033238454,0.007686354,0.0012181242,0.000100949255,0.000118647215,0.0000025959766,0.0030565106],"genre_scores_gemma":[0.9906111,0.007817497,0.00031712174,0.0007314142,0.00035758098,0.0000029064975,0.0000010331007,0.000015712005,0.00014567327],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987187,0.000023046434,0.00089729653,0.00018531454,0.000029261602,0.00014642895],"domain_scores_gemma":[0.9982543,0.000078330726,0.0013547087,0.00015887567,0.00011186904,0.000041887546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058975973,0.00012615178,0.00032462124,0.00008827325,0.00010732848,0.00010341641,0.0005841479,0.00006829961,0.0000677537],"category_scores_gemma":[0.00024478565,0.000106223175,0.00016872794,0.0000885409,0.000087862936,0.00035331034,0.00014720946,0.00019158861,0.0000062357476],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0048827897,0.0007636893,0.23546967,0.00041030467,0.0015472219,0.00021298176,0.017099293,0.073086694,0.00042939547,0.58429044,0.024681658,0.057125874],"study_design_scores_gemma":[0.0059673567,0.0003520299,0.34310284,0.00016073567,0.00009845358,0.00028665853,0.00073624856,0.25509694,0.0018660069,0.070201814,0.32105643,0.0010744828],"about_ca_topic_score_codex":0.000034470784,"about_ca_topic_score_gemma":0.00005449859,"teacher_disagreement_score":0.51408863,"about_ca_system_score_codex":0.00010156938,"about_ca_system_score_gemma":0.000059556565,"threshold_uncertainty_score":0.43316555},"labels":[],"label_agreement":null},{"id":"W3094226335","doi":"10.1080/12265934.2020.1831402","title":"Housing affordability, borrowing constraints and tenure choice in Korea","year":2020,"lang":"en","type":"article","venue":"International Journal of Urban Sciences","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Constraint (computer-aided design); Renting; Economics; Housing tenure; Variable (mathematics); Demographic economics; Estimation; Labour economics","score_opus":0.05511448999644511,"score_gpt":0.2631192243690251,"score_spread":0.20800473437257996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094226335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97145337,0.000339109,0.0006674004,0.005986754,0.00066317455,0.000032605876,0.000011004545,0.000005143947,0.020841416],"genre_scores_gemma":[0.99782115,0.00009329815,0.0012351712,0.0005484541,0.00029042305,2.6643315e-7,3.511085e-7,0.0000043760947,0.0000065292293],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99909925,0.000010925001,0.000529709,0.00016539614,0.000068954025,0.00012576123],"domain_scores_gemma":[0.9993685,0.000105450395,0.00036652657,0.000035968722,0.00004614175,0.000077424316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092557527,0.00006708569,0.0001988922,0.00021096936,0.000046137684,0.00018950806,0.00030983894,0.000032636915,0.00010820575],"category_scores_gemma":[0.00053302007,0.00006822004,0.000054195763,0.00014143977,0.00026037355,0.00057575776,0.0000611769,0.00012812586,0.000008837307],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015698253,0.000022364067,0.9839355,0.000004562504,0.000016086355,0.000018104949,0.00081521313,0.0002532472,0.000040460454,0.009154305,0.00023099544,0.0054934826],"study_design_scores_gemma":[0.004897776,0.0007543497,0.77695715,0.0003895954,0.000019587767,0.00036379576,0.0031312262,0.052682895,0.0004748082,0.09301581,0.06618606,0.0011269151],"about_ca_topic_score_codex":0.00005437595,"about_ca_topic_score_gemma":0.00003172684,"teacher_disagreement_score":0.2069783,"about_ca_system_score_codex":0.00006556652,"about_ca_system_score_gemma":0.000050702816,"threshold_uncertainty_score":0.27819327},"labels":[],"label_agreement":null},{"id":"W3094355810","doi":"10.9734/sajsse/2020/v8i230206","title":"Affordable Housing in the Wake of Global Pandemics: A Reality or a Mirage the Kenyan Perspective?","year":2020,"lang":"en","type":"article","venue":"South Asian Journal of Social Studies and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Kenya; Real estate; Pandemic; Economics; Inflation (cosmology); Distributed lag; Coronavirus disease 2019 (COVID-19); Business; Development economics; Economic growth; Geography; Finance; Political science","score_opus":0.08355682355137992,"score_gpt":0.27608390245015846,"score_spread":0.19252707889877854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094355810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9654034,0.0021273023,0.00016087254,0.018735502,0.0002732691,0.00017257812,0.000104263956,0.0000055352416,0.0130172735],"genre_scores_gemma":[0.99688166,0.0018175143,0.00018445164,0.00063217856,0.0004613484,0.0000023354355,4.4412755e-7,0.000013159719,0.000006911464],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99849427,0.000050581883,0.0009547352,0.0002014888,0.000027043792,0.0002719081],"domain_scores_gemma":[0.9986556,0.000077248726,0.0010377078,0.000110362285,0.000054587435,0.00006449106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014431761,0.0001637329,0.0007269617,0.000038817896,0.00027382153,0.00009265927,0.00032630822,0.00008348834,0.000012201354],"category_scores_gemma":[0.0002468887,0.000115345974,0.00021141341,0.00018280979,0.00028752894,0.00018125703,0.00009880769,0.00025916653,0.0000034707243],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011390245,0.00010007566,0.33871722,0.00021171481,0.0010389991,0.000025907259,0.4487239,0.0005550855,9.265314e-7,0.20023684,0.001288044,0.007962254],"study_design_scores_gemma":[0.0030304608,0.000502565,0.07185849,0.00006309112,0.00011319149,0.000052189116,0.76691884,0.0009209518,0.0000018845699,0.13609387,0.019897409,0.00054706424],"about_ca_topic_score_codex":0.00010407076,"about_ca_topic_score_gemma":0.0005767248,"teacher_disagreement_score":0.31819493,"about_ca_system_score_codex":0.00031603928,"about_ca_system_score_gemma":0.00008381316,"threshold_uncertainty_score":0.47036722},"labels":[],"label_agreement":null},{"id":"W3097363137","doi":"10.5539/ibr.v13n11p114","title":"Evidence From Data Analysis, Fifteen Developed Countries and the United States Home Prices Increase Between 1990 to 2006 Result of Advancement In Technology, Worldwide Economic Collapse and Great Recession Result of False Information by Media and Economic Policy Failures: Walters Real Estate Bubble Impossibility Price Transparency Theory, Real Estate Bubble Is Impossible, An End to Economic Policies Based on False Information","year":2020,"lang":"en","type":"article","venue":"International Business Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Financial crisis; Blame; Recession; Economics; Developing country; Economic bubble; Economic collapse; Global recession; Subprime mortgage crisis; Financial system; Finance; Macroeconomics; Economic growth; Political science; Politics","score_opus":0.04879324402360183,"score_gpt":0.3286514891943529,"score_spread":0.2798582451707511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097363137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96634936,0.000059478793,0.000597501,0.016690614,0.000049351132,0.0007313341,0.015004253,0.000020860107,0.0004972368],"genre_scores_gemma":[0.96369666,0.031880073,0.00097436155,0.00023810423,0.000045767538,0.000063895095,0.0030770465,0.00001742481,0.000006676054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99701935,0.00015323244,0.00169394,0.00060430786,0.00015141648,0.00037772465],"domain_scores_gemma":[0.9965813,0.0015938524,0.000756557,0.0006038389,0.00024304906,0.00022141435],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003397842,0.0002677018,0.00069593574,0.0025026314,0.00015932758,0.00041764573,0.0008740597,0.00012718125,0.00004486956],"category_scores_gemma":[0.0010233995,0.0002547553,0.000032006676,0.0010545569,0.00045960498,0.0027708365,0.0004853558,0.0002024372,0.000016215321],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011633163,0.00005761437,0.8977594,0.00030029094,0.00039356356,0.0000014198591,0.022965284,0.04077237,0.000049278635,0.0022521436,0.00076693186,0.02304856],"study_design_scores_gemma":[0.0075186747,0.00046293187,0.72029257,0.00045926636,0.00010309365,0.0000013046616,0.004417636,0.22912176,0.0008394122,0.009669075,0.026104735,0.0010095311],"about_ca_topic_score_codex":0.17914197,"about_ca_topic_score_gemma":0.017469415,"teacher_disagreement_score":0.18834938,"about_ca_system_score_codex":0.00063487963,"about_ca_system_score_gemma":0.00043449915,"threshold_uncertainty_score":0.99999046},"labels":[],"label_agreement":null},{"id":"W3098899308","doi":"","title":"Following Borrowers through Forbearance","year":2020,"lang":"en","type":"article","venue":"Liberty Street Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Household debt; Credit card; Forbearance; Quarter (Canadian coin); Debt; Financial system; Monetary economics; Cash; Recession; Economics; Market liquidity; Collateral; Business; Consumer debt; Finance; Macroeconomics; Payment","score_opus":0.04015153425321487,"score_gpt":0.2071073411421396,"score_spread":0.16695580688892475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3098899308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5825697,0.00062419544,0.006740776,0.0063510463,0.001725187,0.00033793628,0.00018719964,0.00027336093,0.40119058],"genre_scores_gemma":[0.98810023,0.00085296424,0.0045291833,0.0054337606,0.0004769127,0.000020922182,0.000045202003,0.00010325724,0.00043755322],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976079,0.0000118863445,0.00094035687,0.0008167923,0.000020181446,0.0006029228],"domain_scores_gemma":[0.9987814,0.000066244735,0.00041122487,0.00048165245,0.000010414009,0.0002490729],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00025104947,0.00032790346,0.00076547975,0.000069904694,0.00017053356,0.0001891768,0.0005332175,0.00019572003,0.00037538688],"category_scores_gemma":[0.000106182764,0.00043694265,0.00042680485,0.00017126044,0.00006354499,0.0009826918,0.00014501365,0.00024171703,0.0016127203],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025675978,0.00022224644,0.33956528,0.00016791665,0.0007414424,0.000044395383,0.0063363635,0.0063785505,0.000025807012,0.60034996,0.03226447,0.013646832],"study_design_scores_gemma":[0.0021096754,0.00017033568,0.002788084,0.000021859114,0.000027699713,0.0000035580283,0.0004005133,0.043946162,0.00026636696,0.062209237,0.8866446,0.0014118999],"about_ca_topic_score_codex":0.00018423266,"about_ca_topic_score_gemma":0.00007809752,"teacher_disagreement_score":0.85438013,"about_ca_system_score_codex":0.00014437533,"about_ca_system_score_gemma":0.000040780247,"threshold_uncertainty_score":0.99980825},"labels":[],"label_agreement":null},{"id":"W3099381146","doi":"10.1093/oso/9780195076363.003.0009","title":"Housing and Residential Communities","year":2002,"lang":"en","type":"book-chapter","venue":"Oxford University Press eBooks","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Infill; Middle income; Subdivision; Government (linguistics); Business; Geography; Economic geography; Economics; Economic growth; Demographic economics; Engineering; Civil engineering","score_opus":0.048128313201117344,"score_gpt":0.17568391668252342,"score_spread":0.12755560348140607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3099381146","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015427347,0.00031407663,0.00014155716,0.00001907144,0.0002582678,0.0001440264,0.00018541072,0.00007796204,0.9973169],"genre_scores_gemma":[0.018163998,0.0057878536,0.00023660199,0.00004713247,0.00012896009,3.044228e-7,0.000025481713,0.00006883634,0.9755408],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991167,0.000010086536,0.00029461618,0.0003067674,0.000027334963,0.00024449805],"domain_scores_gemma":[0.9990429,0.00004784031,0.00036339057,0.00042891578,0.000021802018,0.00009513107],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014400957,0.00027193176,0.0005102306,0.00028574545,0.0003150142,0.00014158132,0.00031905755,0.00034909305,0.00025998233],"category_scores_gemma":[0.0000027175047,0.00041749774,0.00014136222,0.0000046858995,0.00023762294,0.00015371543,0.0003740661,0.00036833933,0.000010598449],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003520369,0.000006017464,0.0001430061,0.000059481918,0.00010900486,0.000029377368,0.0006168676,0.000006892121,1.2292062e-7,0.9935376,0.0015214569,0.0039349347],"study_design_scores_gemma":[0.00038463823,0.000026566831,0.000024211728,0.00006196356,0.00003783844,0.000005491793,0.000068693065,0.00040243368,0.0000014658974,0.010320186,0.9882339,0.0004325598],"about_ca_topic_score_codex":0.00055567134,"about_ca_topic_score_gemma":0.00018073169,"teacher_disagreement_score":0.9867125,"about_ca_system_score_codex":0.00014600063,"about_ca_system_score_gemma":0.000012585078,"threshold_uncertainty_score":0.9998277},"labels":[],"label_agreement":null},{"id":"W3099549121","doi":"10.2139/ssrn.2595719","title":"Consumers' Attitudes and Their Inflation Expectations","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Pessimism; Inflation (cosmology); Recession; Economics; Purchasing; Demographic economics; Monetary economics; Macroeconomics","score_opus":0.02403048638310454,"score_gpt":0.22393718087918169,"score_spread":0.19990669449607715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3099549121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94577694,0.007203599,0.01099684,0.0007554938,0.0003557777,0.00008181122,0.000006534977,0.000032094853,0.034790907],"genre_scores_gemma":[0.99645376,0.0028207372,0.0001483933,0.000041702722,0.00011961227,0.000002867707,0.0000039908587,0.0000152512375,0.00039369724],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99882627,0.000013887375,0.00030250507,0.00014695579,0.000014852513,0.0006955419],"domain_scores_gemma":[0.9995614,0.000030785945,0.0001899422,0.00009475405,0.00003000749,0.00009310348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001090862,0.000094808325,0.00017502508,0.00014442958,0.00013519757,0.00010548125,0.00009296502,0.000054346365,0.000023864402],"category_scores_gemma":[0.00009116727,0.00009884151,0.000045863086,0.000075002165,0.00004211539,0.00031415265,0.000021486303,0.00041628676,0.00013943318],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003206672,0.000043140335,0.24962813,0.0000048185666,0.00014379858,6.219868e-7,0.0021112985,0.00007693346,0.000009584619,0.7308831,0.00018824477,0.016878238],"study_design_scores_gemma":[0.001005381,0.00012891363,0.0074261515,0.000006978019,0.0000057299685,0.00014723922,0.004862248,0.0015801397,0.000012495263,0.9739385,0.010626043,0.00026012724],"about_ca_topic_score_codex":0.00006485681,"about_ca_topic_score_gemma":0.00047211247,"teacher_disagreement_score":0.24305543,"about_ca_system_score_codex":0.00044570985,"about_ca_system_score_gemma":0.000297746,"threshold_uncertainty_score":0.403064},"labels":[],"label_agreement":null},{"id":"W3100398144","doi":"10.3386/w26322","title":"Mortgage Finance and Climate Change: Securitization Dynamics in the Aftermath of Natural Disasters","year":2019,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Securitization; Natural disaster; Climate change; Business; Finance; Financial crisis; Economics; Financial system; Geography; Meteorology; Keynesian economics; Oceanography; Geology","score_opus":0.218993899429619,"score_gpt":0.42285642875806184,"score_spread":0.20386252932844284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3100398144","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23505627,0.0034982325,0.000005436353,0.0008445678,0.0012227102,0.0012494632,0.0015866467,0.00000842901,0.75652826],"genre_scores_gemma":[0.9806672,0.01774727,0.00006400847,0.000034223536,0.00027622722,0.000084857296,0.00067851174,0.000041773917,0.00040596921],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974763,0.00008411605,0.0012493287,0.000539383,0.00022796978,0.00042290593],"domain_scores_gemma":[0.997875,0.0005602089,0.00088509324,0.0003937366,0.00025430167,0.00003171308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066245133,0.00022193484,0.0007650899,0.0009988095,0.00007499278,0.0000865798,0.00053405436,0.00031133965,0.000054627406],"category_scores_gemma":[0.00033762597,0.00023329427,0.00014345121,0.00022785304,0.0002595406,0.00036751042,0.00020886601,0.0006385409,0.000057249406],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000089334164,0.00010733746,0.07368,0.0010346092,0.000070156886,0.0000036936956,0.00093133544,0.000273136,0.0000014261259,0.9188574,0.0021611624,0.0027904296],"study_design_scores_gemma":[0.003279779,0.00041010298,0.11487682,0.0013961262,0.000036954563,0.00009653885,0.001733824,0.22450805,0.000021770882,0.6188122,0.033045597,0.0017822174],"about_ca_topic_score_codex":0.0013600187,"about_ca_topic_score_gemma":0.0013916413,"teacher_disagreement_score":0.7561223,"about_ca_system_score_codex":0.0014466587,"about_ca_system_score_gemma":0.00033898774,"threshold_uncertainty_score":0.95134646},"labels":[],"label_agreement":null},{"id":"W3100585835","doi":"10.37625/abr.23.2.334-357","title":"Seller Financing: Contracting Out of the Lemons and Moral Hazard Problems When They May Co-Exist","year":2020,"lang":"en","type":"article","venue":"American Business Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Moral hazard; Business; Asset (computer security); Database transaction; Finance; Loan; Quality (philosophy); Asset quality; Economics; Microeconomics; Incentive; Computer security; Computer science","score_opus":0.06849584534257283,"score_gpt":0.24879173456504977,"score_spread":0.18029588922247694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3100585835","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3398242,0.11394325,0.001939719,0.10618624,0.001581446,0.0033405446,0.00041827382,0.00026696874,0.43249935],"genre_scores_gemma":[0.905578,0.0908291,0.00046247206,0.0028821423,0.00008897911,0.00002149795,0.000007666654,0.00003981293,0.00009032584],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99869245,0.000029056153,0.0006960718,0.0003129859,0.00003099456,0.00023842524],"domain_scores_gemma":[0.9987583,0.00006291599,0.00075163366,0.00030561353,0.000046525245,0.00007497002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036281926,0.00018640845,0.000871361,0.000033379994,0.00009426809,0.00004812071,0.00026059616,0.000033882312,0.000074312724],"category_scores_gemma":[0.00025410342,0.0001609447,0.00011719451,0.00023744344,0.00022189059,0.00015343627,0.00008268534,0.00014671682,0.000078800214],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004239266,0.00015230467,0.6113794,0.010003601,0.00028120755,0.000006888411,0.0035821951,0.00044750058,0.00007959153,0.012603163,0.028838461,0.33258328],"study_design_scores_gemma":[0.00048456722,0.00005489126,0.060342304,0.0012199881,0.000068959605,0.0000096530885,0.00010169512,0.001305486,0.000017596432,0.0019827217,0.9337992,0.00061292294],"about_ca_topic_score_codex":0.0003249945,"about_ca_topic_score_gemma":0.000060710223,"teacher_disagreement_score":0.90496075,"about_ca_system_score_codex":0.00003444136,"about_ca_system_score_gemma":0.00004060283,"threshold_uncertainty_score":0.6563134},"labels":[],"label_agreement":null},{"id":"W3104076510","doi":"10.1108/jpif-05-2020-0052","title":"Estimating the value, ownership structure and turnover rate for investible commercial real estate from transaction datasets","year":2020,"lang":"en","type":"article","venue":"Journal of Property Investment and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Real estate; Transaction cost; Value (mathematics); Database transaction; Econometrics; Asset (computer security); Transaction data; Economics; Portfolio; Financial economics; Computer science; Database; Microeconomics; Finance","score_opus":0.055571323363936706,"score_gpt":0.22903121689244932,"score_spread":0.1734598935285126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3104076510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865778,0.00047464576,0.0028177078,0.007868521,0.0004311838,0.00026368248,0.000564119,0.000007721227,0.000994615],"genre_scores_gemma":[0.97702676,0.0027634169,0.016017567,0.0034362194,0.000609611,0.0000063913485,0.00005339874,0.000029395296,0.000057263016],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990405,0.00002824788,0.000529619,0.00020769823,0.000027763814,0.00016618113],"domain_scores_gemma":[0.9991583,0.000080303675,0.000555448,0.0001060604,0.000021617589,0.000078233985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046836372,0.00014248292,0.00034240447,0.000038745697,0.00017708499,0.00014073715,0.00014735386,0.0000670245,0.000011256732],"category_scores_gemma":[0.00010557852,0.00009014637,0.000053320153,0.000067606845,0.00010298237,0.00044472437,0.000027087244,0.00020839041,0.0000020105326],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00660361,0.0005108849,0.12914824,0.0013350376,0.0014020114,0.000090908215,0.057549093,0.034005802,0.005642899,0.074206606,0.115338184,0.5741667],"study_design_scores_gemma":[0.0060959775,0.0012740949,0.046082802,0.00020955381,0.00018205683,0.00004843632,0.00026434322,0.47870934,0.0011030235,0.08833167,0.37675312,0.0009455717],"about_ca_topic_score_codex":0.00019691967,"about_ca_topic_score_gemma":0.000044231914,"teacher_disagreement_score":0.57322115,"about_ca_system_score_codex":0.00003365259,"about_ca_system_score_gemma":0.000032491775,"threshold_uncertainty_score":0.36760625},"labels":[],"label_agreement":null},{"id":"W3104265982","doi":"10.3390/jrfm13110282","title":"Overreaction in the REITs Market: New Evidence from Quantile Autoregression Approach","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate investment trust; Economics; Predictability; Financial economics; Econometrics; Volatility (finance); Quantile; Portfolio; Investment strategy; Monetary economics; Vector autoregression; Real estate; Market liquidity; Finance","score_opus":0.03904934917112502,"score_gpt":0.2196058892129601,"score_spread":0.18055654004183508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3104265982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8854172,0.0062423144,0.0803222,0.0020106777,0.0009929179,0.00031604507,0.000026267535,0.0000137098605,0.02465864],"genre_scores_gemma":[0.98216957,0.014158214,0.0027852813,0.00032269553,0.00050075905,0.0000017740349,0.0000013527251,0.00000896045,0.000051365565],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99904275,0.00003512888,0.00054591906,0.00019070454,0.00005067331,0.00013485418],"domain_scores_gemma":[0.9991654,0.000086409156,0.00055366574,0.0001179668,0.0000092773225,0.00006726805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009192591,0.000101856785,0.0002814588,0.000118218275,0.00007136702,0.00009058169,0.00021938611,0.00006035363,0.000051796],"category_scores_gemma":[0.00022079534,0.00008483724,0.00007817984,0.00017601442,0.000018483353,0.00033011005,0.00005658915,0.00025190142,0.000016346306],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013749478,0.000250751,0.3834295,0.0001361821,0.000062077605,0.00010151926,0.012706943,0.0011176432,0.000008516143,0.0221888,0.07770055,0.50092256],"study_design_scores_gemma":[0.0010993108,0.0001449299,0.7543274,0.00014947199,0.000036660407,0.0000062054683,0.0006015896,0.008560147,0.0000037514808,0.016155168,0.21869634,0.00021903001],"about_ca_topic_score_codex":0.00035550984,"about_ca_topic_score_gemma":0.00002466646,"teacher_disagreement_score":0.5007036,"about_ca_system_score_codex":0.000044238885,"about_ca_system_score_gemma":0.000015213139,"threshold_uncertainty_score":0.3459562},"labels":[],"label_agreement":null},{"id":"W3104504969","doi":"","title":"Housing-Related Financial Distress During the Pandemic","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Pandemic; Survey data collection; Payment; Coronavirus disease 2019 (COVID-19); Loan; Financial distress; Business; Finance; Panel survey; Actuarial science; Economics; Demographic economics; Financial system; Geography","score_opus":0.012512184161855356,"score_gpt":0.18595722206094373,"score_spread":0.17344503789908838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3104504969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98317873,0.002301394,0.0018158482,0.0028537847,0.0004478457,0.00010098236,0.000016196282,0.00006449528,0.009220708],"genre_scores_gemma":[0.9908048,0.007774605,0.000013572261,0.00029241137,0.00056558294,0.0000029713756,0.0000035896448,0.000036594818,0.00050589425],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99753827,0.000024946097,0.0005909543,0.00027616273,0.00003505722,0.0015346264],"domain_scores_gemma":[0.9992976,0.000028946524,0.0003802855,0.00016938521,0.000016096717,0.000107677704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010498516,0.00016739508,0.00029770093,0.00006554339,0.00044704368,0.0001371707,0.00042580592,0.000110702254,0.00014380238],"category_scores_gemma":[0.00016716692,0.00015375718,0.0001865864,0.00020727779,0.00006413955,0.00021497849,0.00006777307,0.0016662908,0.00035297705],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027669876,0.000095917785,0.3973726,0.00003790112,0.00037158566,0.000018769018,0.0019428045,0.0015918993,0.00010892693,0.5640323,0.0005652811,0.03358527],"study_design_scores_gemma":[0.0039696456,0.00036854524,0.055640493,0.00003375974,0.00005117154,0.00049420435,0.001132694,0.006049467,0.000038324728,0.87110513,0.059893075,0.0012234853],"about_ca_topic_score_codex":0.00004764483,"about_ca_topic_score_gemma":0.0002729297,"teacher_disagreement_score":0.3417321,"about_ca_system_score_codex":0.0006425184,"about_ca_system_score_gemma":0.00029322362,"threshold_uncertainty_score":0.7239297},"labels":[],"label_agreement":null},{"id":"W3104552371","doi":"10.1061/(asce)up.1943-5444.0000629","title":"Sustainable Housing Practices: Spatial Analysis of Housing Stress in Corvallis, Oregon","year":2020,"lang":"en","type":"article","venue":"Journal of Urban Planning and Development","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University; University of the Fraser Valley","funders":"","keywords":"Affordable housing; Sustainability; Raster graphics; Business; Environmental resource management; Environmental economics; Geography; Computer science; Civil engineering; Engineering; Economics; Artificial intelligence","score_opus":0.05153577200443501,"score_gpt":0.24584241563080028,"score_spread":0.19430664362636527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3104552371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900313,0.0013411364,0.006615978,0.00020903743,0.0001058696,0.000054927306,0.0000061269716,0.0000065222716,0.0016291251],"genre_scores_gemma":[0.99609214,0.00015847232,0.0035236094,0.00009816817,0.00008312851,5.814365e-7,0.000006282039,0.000013504171,0.00002410432],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984467,0.000021006705,0.001053483,0.00018932864,0.000056155623,0.00023333651],"domain_scores_gemma":[0.99760926,0.00009983841,0.0020397406,0.00007397973,0.00006432194,0.000112882706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009231682,0.00012358415,0.0006558108,0.0006344166,0.000073380266,0.00009959256,0.0001266435,0.00007074546,0.000027543121],"category_scores_gemma":[0.0003096292,0.000135369,0.00007284828,0.00041662107,0.000026586078,0.00030225827,0.000058882404,0.0001957429,0.0000017550809],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016030404,0.000057205703,0.9770361,0.000102028294,0.00036575404,0.0000808269,0.009312304,0.010804959,0.000009234823,0.00022701574,0.00020333205,0.0016409318],"study_design_scores_gemma":[0.003943168,0.00052105397,0.82114166,0.00058656704,0.00042759185,0.000022303188,0.017931586,0.075298786,0.00080710236,0.00045168246,0.07766176,0.0012067226],"about_ca_topic_score_codex":0.00025724433,"about_ca_topic_score_gemma":0.000052678373,"teacher_disagreement_score":0.15589443,"about_ca_system_score_codex":0.00013686327,"about_ca_system_score_gemma":0.00013436787,"threshold_uncertainty_score":0.55201876},"labels":[],"label_agreement":null},{"id":"W3109159239","doi":"10.1177/0042098020965976","title":"Old, small and unwanted: Post-war housing and neighbourhood socioeconomic status","year":2020,"lang":"en","type":"article","venue":"Urban Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Socioeconomic status; Neighbourhood (mathematics); Obsolescence; Demographic economics; Metropolitan area; Geography; World War II; Economic geography; Demography; Development economics; Economic growth; Economics; Sociology; Business","score_opus":0.04296750766903168,"score_gpt":0.21654913515084162,"score_spread":0.17358162748180994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109159239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9581938,0.028695183,0.0000587682,0.002997386,0.00027246596,0.00014985265,0.00011082281,0.000080472266,0.009441242],"genre_scores_gemma":[0.9820278,0.014784939,0.000630845,0.0021417905,0.00025100986,0.0000074114887,0.0000066692705,0.000043872882,0.00010564975],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985438,0.000012548653,0.00048418652,0.00053425645,0.000013254205,0.00041197852],"domain_scores_gemma":[0.99931026,0.000098998025,0.00023510768,0.00015262558,0.00002773416,0.00017525145],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002186132,0.00023260656,0.00062486524,0.00010126126,0.00025314323,0.00010162988,0.000090830086,0.00008174142,0.00007447587],"category_scores_gemma":[0.00014803998,0.00027362595,0.00006823895,0.000059119393,0.00018998605,0.00020436215,0.00022522188,0.00015083943,0.00016651758],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000091435526,0.000043017957,0.9398914,0.00025382728,0.00061620143,0.000012913421,0.026330933,0.000029628,0.000036603695,0.011706099,0.0032760426,0.017711926],"study_design_scores_gemma":[0.011746442,0.0018870538,0.5419001,0.00020515482,0.0003640086,0.000044871027,0.0459047,0.016411642,0.0002817883,0.06453378,0.31095088,0.0057695564],"about_ca_topic_score_codex":0.00011377529,"about_ca_topic_score_gemma":0.0001050324,"teacher_disagreement_score":0.39799124,"about_ca_system_score_codex":0.00009137937,"about_ca_system_score_gemma":0.00001743272,"threshold_uncertainty_score":0.99997157},"labels":[],"label_agreement":null},{"id":"W3110186132","doi":"10.2139/ssrn.3683630","title":"Corporate Relocation and Housing Market Spillover","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Relocation; Spillover effect; Business; Economics; Microeconomics","score_opus":0.027009061419059215,"score_gpt":0.1884751595675924,"score_spread":0.1614660981485332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110186132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90092856,0.0037971104,0.024397224,0.0059896526,0.000406002,0.0001368414,0.000009230402,0.000058655613,0.0642767],"genre_scores_gemma":[0.9878907,0.010446884,0.00024601995,0.00055259786,0.00033151556,0.0000010906099,0.00000245745,0.00003048106,0.0004982111],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984011,0.000016269058,0.0003987747,0.00024475984,0.000022327364,0.0009167628],"domain_scores_gemma":[0.99929816,0.00001801196,0.000454337,0.00009618726,0.000018835899,0.0001144856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012369193,0.000120937875,0.00023708837,0.00008517307,0.0001540772,0.00013326308,0.00012622662,0.00006952558,0.00013513588],"category_scores_gemma":[0.0000950909,0.00014338121,0.000060592225,0.00013009382,0.0000364059,0.00030828873,0.000036404123,0.00066415814,0.00015138387],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024133261,0.000049932132,0.16944875,0.000035345984,0.0002196907,0.00000794086,0.0006581636,0.00016350302,0.000060806855,0.77283204,0.0026009015,0.053681567],"study_design_scores_gemma":[0.001347328,0.0003136869,0.00953826,0.00001532077,0.000020149657,0.00014958881,0.00057559175,0.018041456,0.000020487078,0.92785174,0.04158709,0.0005393212],"about_ca_topic_score_codex":0.00003238347,"about_ca_topic_score_gemma":0.00007043694,"teacher_disagreement_score":0.1599105,"about_ca_system_score_codex":0.00035266078,"about_ca_system_score_gemma":0.0002073133,"threshold_uncertainty_score":0.5846916},"labels":[],"label_agreement":null},{"id":"W3110975260","doi":"10.1109/cds49703.2020.00085","title":"Predictive Modeling of U.S. Housing Prices Reveals Key Indicators of Real Estate Prices and Economic Health","year":2020,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Real estate; Work (physics); Economic indicator; Key (lock); Econometrics; Sample (material); Economics; Business; Environmental economics; Computer science; Macroeconomics; Finance; Engineering","score_opus":0.030778835821072943,"score_gpt":0.2304800484968486,"score_spread":0.19970121267577567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110975260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.914955,0.0002522377,0.0044732443,0.0005311835,0.000096526244,0.00021396828,0.00013087959,0.00003890495,0.07930803],"genre_scores_gemma":[0.9845644,0.010575076,0.0046225614,0.00012572457,0.00006182434,0.0000038149137,0.000008515964,0.000029165758,0.000008907539],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981214,0.000013976409,0.0011525971,0.0004222062,0.000024435934,0.00026539425],"domain_scores_gemma":[0.9984904,0.00006209909,0.001078461,0.0001804314,0.000014851854,0.00017376753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067882845,0.0001609456,0.00074220996,0.0002630125,0.000069866335,0.00003577855,0.00018033525,0.000083028935,0.00006337015],"category_scores_gemma":[0.000043041127,0.00018891654,0.00008026585,0.0001515061,0.000087831984,0.00033801055,0.00010908895,0.000092461916,0.000011311667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039580278,0.0001739076,0.8076253,0.0015221175,0.00045231008,0.000001922859,0.028034048,0.06395053,0.000057701953,0.06725444,0.00054641085,0.029985512],"study_design_scores_gemma":[0.0013944933,0.000690987,0.02305845,0.00009567819,0.000026696025,0.0000018921013,0.0020884608,0.96184397,0.00020793469,0.007933865,0.0019907488,0.0006668292],"about_ca_topic_score_codex":0.0019911886,"about_ca_topic_score_gemma":0.00012263563,"teacher_disagreement_score":0.8978934,"about_ca_system_score_codex":0.00010014035,"about_ca_system_score_gemma":0.000088274486,"threshold_uncertainty_score":0.7703793},"labels":[],"label_agreement":null},{"id":"W3112356794","doi":"10.1515/eplj-2020-0007","title":"Discussing the Values: Retrieving Use Value of Property in Housing Contexts","year":2020,"lang":"en","type":"article","venue":"European Property Law Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Property value; Property (philosophy); Value (mathematics); Sociology; Mathematics; Epistemology; Statistics; Political science; Philosophy; Real estate; Law","score_opus":0.06022712928985767,"score_gpt":0.21247120820720372,"score_spread":0.15224407891734604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112356794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5056273,0.001220175,0.0027549558,0.008798617,0.0010608328,0.00060119707,0.00002973671,0.00009130552,0.47981587],"genre_scores_gemma":[0.99625033,0.00030592474,0.000923723,0.001481441,0.00045079264,0.0000010137267,0.0000016983028,0.00008933227,0.0004957303],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974729,0.00031354433,0.0013254657,0.00038646895,0.00007424746,0.00042739292],"domain_scores_gemma":[0.99866194,0.0000772317,0.0007109578,0.00032150027,0.00005453464,0.0001738442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026646254,0.00023232972,0.00052882184,0.00009887251,0.0005100899,0.00058494933,0.00058370037,0.000052613574,0.000107279724],"category_scores_gemma":[0.0006629607,0.000120817385,0.00019746748,0.00028040758,0.000240576,0.0009231534,0.00021645661,0.00067127065,0.00015865815],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022614158,0.0011725868,0.42033345,0.0008186336,0.0008576529,0.0012665865,0.06575413,0.01896541,0.0030418867,0.13687037,0.014531928,0.33412597],"study_design_scores_gemma":[0.0064939433,0.0010758177,0.038655598,0.0015793833,0.00008524828,0.0003769793,0.002422699,0.071164444,0.0007716845,0.007240237,0.86773014,0.0024038195],"about_ca_topic_score_codex":0.00039455786,"about_ca_topic_score_gemma":0.00007151104,"teacher_disagreement_score":0.85319823,"about_ca_system_score_codex":0.00012554573,"about_ca_system_score_gemma":0.00004026834,"threshold_uncertainty_score":0.56406796},"labels":[],"label_agreement":null},{"id":"W3114004671","doi":"10.1108/jpif-02-2014-0010?utm_campaign=repec&amp;wt.mc_id=repec","title":"The Impact of Lease Structures on the Optimal Holding Period for a Commercial Real Estate Portfolio","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Lease; Portfolio; Renting; Real estate; Economics; Terminal value; Financial economics; Econometrics; Cash flow; Actuarial science; Finance; Microeconomics; Operating cash flow","score_opus":0.056910553166393985,"score_gpt":0.3270118793129855,"score_spread":0.2701013261465915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3114004671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80806696,0.00004619898,0.000015484113,0.00046076934,0.00056624104,0.0010540766,0.0004921391,0.000017779053,0.18928038],"genre_scores_gemma":[0.98075837,0.017621897,0.00024731646,0.000037361293,0.00048622634,0.00027970874,0.00007032314,0.00011435235,0.00038446984],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961534,0.00017574476,0.00150782,0.0009639657,0.0000775237,0.0011215415],"domain_scores_gemma":[0.99528116,0.001808649,0.0010260744,0.0015995698,0.000096652904,0.00018791162],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005975218,0.00047692243,0.0010881474,0.00051704,0.00064245594,0.00050391635,0.0014621629,0.0004580415,0.00014641168],"category_scores_gemma":[0.0011594831,0.00038100217,0.00079597824,0.000119412165,0.0006439593,0.00009967105,0.000757458,0.0015051707,0.000017170869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029661083,0.00037137934,0.04537951,0.00033049093,0.0011187602,0.000014966489,0.0029827945,0.3181091,0.000021454385,0.07223849,0.0025339625,0.553933],"study_design_scores_gemma":[0.0053721676,0.0022574952,0.1545536,0.00043972456,0.00006127667,0.000032846016,0.0030430686,0.6006949,0.00016474974,0.13114594,0.098741546,0.0034926776],"about_ca_topic_score_codex":0.0012148899,"about_ca_topic_score_gemma":0.0003774692,"teacher_disagreement_score":0.5504403,"about_ca_system_score_codex":0.0011914183,"about_ca_system_score_gemma":0.00047825725,"threshold_uncertainty_score":0.99986416},"labels":[],"label_agreement":null},{"id":"W31140100","doi":"10.1007/s10935-019-00552-5","title":"Statistical Appendix for \\Canadian City Housing Prices and Urban Market Segmentation\" ⁄","year":2006,"lang":"en","type":"article","venue":"The Journal of Primary Prevention","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministerstvo Školství, Mládeže a Tělovýchovy","keywords":"Warrant; Robustness (evolution); Economics; Appendix; Market segmentation; Segmentation; Statistical analysis; Actuarial science; Econometrics; Financial economics; Statistics; Computer science; Microeconomics; Mathematics; Artificial intelligence","score_opus":0.023431751282416778,"score_gpt":0.2254891429524272,"score_spread":0.2020573916700104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W31140100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7563051,0.0010549616,0.19493864,0.00068005704,0.00050499017,0.0003910064,0.0001054531,0.000009624054,0.04601017],"genre_scores_gemma":[0.9844018,0.0003513628,0.014107178,0.00011575213,0.0003307784,0.0000028681025,0.00003370095,0.000017231723,0.0006393344],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916357,0.000030396235,0.00052801176,0.00008994595,0.00002598997,0.00016211664],"domain_scores_gemma":[0.99917907,0.00013152063,0.0005204975,0.000081067206,0.00002692822,0.00006091424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018641743,0.000076361255,0.00020672714,0.00015132209,0.00017832904,0.00008411074,0.00010541577,0.000042898897,0.00027522573],"category_scores_gemma":[0.000038129932,0.00007173229,0.00006010774,0.000051741492,0.00004146044,0.00030795715,0.000016588225,0.0000865277,0.00001115045],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001116256,0.00045923513,0.6148898,0.0004849821,0.00043869572,0.000012085563,0.0011059257,0.0006023238,0.00036477682,0.13322622,0.14881003,0.09848967],"study_design_scores_gemma":[0.002298045,0.00032834528,0.5629345,0.000057119814,0.00013486517,0.000075383476,0.00016549297,0.0028438957,0.000075792734,0.36196285,0.06873143,0.00039225275],"about_ca_topic_score_codex":0.0009937539,"about_ca_topic_score_gemma":0.0011697849,"teacher_disagreement_score":0.22873662,"about_ca_system_score_codex":0.00020757625,"about_ca_system_score_gemma":0.000053778796,"threshold_uncertainty_score":0.30135286},"labels":[],"label_agreement":null},{"id":"W3115064918","doi":"10.3386/w28267","title":"Information, Preferences, and Household Demand for School Value Added","year":2020,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University","keywords":"Value (mathematics); Business; Microeconomics; Economics; Computer science; Machine learning","score_opus":0.33687039143466657,"score_gpt":0.4044642030501485,"score_spread":0.06759381161548195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115064918","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13218495,0.0018133238,0.0024673515,0.006836256,0.0016545086,0.0037461706,0.0049615046,0.00011469564,0.8462212],"genre_scores_gemma":[0.99406606,0.0015203196,0.0024520296,0.0001637537,0.0005241248,0.00027838437,0.00075110357,0.000040590003,0.00020361411],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99756646,0.00004744149,0.0013390548,0.00053842936,0.0001122807,0.00039633253],"domain_scores_gemma":[0.99786854,0.0005787596,0.0007062559,0.00034253654,0.00027457264,0.00022936169],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003509167,0.0002466893,0.0007278524,0.0008225386,0.00017000394,0.00036146716,0.00060723734,0.00044639164,0.00022761858],"category_scores_gemma":[0.0014985492,0.00031707785,0.00017607604,0.000103200975,0.00019972977,0.00056900765,0.0005891573,0.0006669161,0.00025324777],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013283239,0.000033111253,0.0050588874,0.00049363554,0.00017854435,1.355509e-7,0.00026906058,0.0044408147,0.0000030632812,0.96165186,0.02678912,0.00094892323],"study_design_scores_gemma":[0.000798456,0.000078358855,0.0023701917,0.000049228453,0.0000069145694,0.0000012618013,0.000059206843,0.020552358,0.000033265744,0.9581049,0.017648742,0.00029708643],"about_ca_topic_score_codex":0.00050977326,"about_ca_topic_score_gemma":0.00003984878,"teacher_disagreement_score":0.86188114,"about_ca_system_score_codex":0.0006054646,"about_ca_system_score_gemma":0.00071746437,"threshold_uncertainty_score":0.9999281},"labels":[],"label_agreement":null},{"id":"W3115726310","doi":"","title":"Rising Household Debt: Increasing Demand or Increasing Supply?","year":2014,"lang":"en","type":"article","venue":"Liberty Street Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Household debt; Debt; Consumer debt; Loan; Recession; Quarter (Canadian coin); Business; Monetary economics; Economics; Finance; Financial system; Macroeconomics","score_opus":0.02729127016359645,"score_gpt":0.1996263355787406,"score_spread":0.17233506541514415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115726310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87482756,0.00017669046,0.002915234,0.00035511874,0.0009451395,0.00024878094,0.00013973174,0.0002236302,0.12016814],"genre_scores_gemma":[0.98804456,0.0009330674,0.008454964,0.0010200549,0.0007790684,0.000018416848,0.00007255522,0.00018411348,0.0004931995],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99630415,0.00012175152,0.001518839,0.0010560818,0.00003306772,0.0009661028],"domain_scores_gemma":[0.99707276,0.00073113246,0.0008285741,0.00096765225,0.00002390765,0.00037598182],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025549203,0.0005354135,0.0011043947,0.0004342327,0.00044430437,0.0005714977,0.00062770874,0.0003704523,0.00038053174],"category_scores_gemma":[0.00059460994,0.00061675423,0.00028551932,0.00021525011,0.00015169525,0.0009994064,0.00026183543,0.000369337,0.0004263199],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007640833,0.00024687249,0.85737604,0.00012843253,0.0002695054,0.000012866278,0.0006541018,0.0042588376,0.00003248398,0.10327385,0.0017923125,0.031190591],"study_design_scores_gemma":[0.007984184,0.000553207,0.2053224,0.00034099273,0.00016102551,0.00033291633,0.0005366861,0.2703702,0.0008299304,0.13566135,0.3723824,0.005524716],"about_ca_topic_score_codex":0.0022523222,"about_ca_topic_score_gemma":0.0012762708,"teacher_disagreement_score":0.65205365,"about_ca_system_score_codex":0.00039509515,"about_ca_system_score_gemma":0.00007525732,"threshold_uncertainty_score":0.99962837},"labels":[],"label_agreement":null},{"id":"W3115848148","doi":"10.5430/ijfr.v12n1p144","title":"Financial and Strategic Pricing Analysis in the Development Market Using an Econometric Model","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kazan Federal University","keywords":"Real estate; Profitability index; Econometric model; Economics; Econometrics; Econometric analysis; Finance; Financial economics","score_opus":0.23463690749867724,"score_gpt":0.3536788960882359,"score_spread":0.11904198858955864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115848148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9839368,0.0002079628,0.0044133007,0.00081175443,0.00014680096,0.000086501226,0.000014893949,0.0000025392608,0.010379453],"genre_scores_gemma":[0.99637157,0.0002127449,0.002789735,0.0002561015,0.00033574516,0.0000024889841,0.0000028939105,0.000010138192,0.000018557432],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982552,0.00007544875,0.00093829853,0.0002526577,0.00018877495,0.00028962502],"domain_scores_gemma":[0.99904096,0.00016683846,0.00037010136,0.00010632023,0.00021079983,0.00010497355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045429287,0.000108554974,0.00035960475,0.0016081131,0.00012080976,0.00027574543,0.00072650635,0.00008656874,0.00009500243],"category_scores_gemma":[0.00089978654,0.000104758474,0.00010812461,0.0011135915,0.00006546807,0.00043764777,0.000109096756,0.00049225864,0.000009464872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017205746,0.0011389342,0.48752737,0.00009883492,0.00071195274,0.00043171685,0.026162526,0.14665976,0.00011867516,0.238518,0.00075379346,0.096157864],"study_design_scores_gemma":[0.0011155216,0.00021058288,0.18908483,0.000030556734,0.000022159204,0.000022814247,0.00033696138,0.74922115,0.000028294653,0.057673343,0.0019420284,0.00031175642],"about_ca_topic_score_codex":0.00008180635,"about_ca_topic_score_gemma":0.0001836089,"teacher_disagreement_score":0.6025614,"about_ca_system_score_codex":0.0002864106,"about_ca_system_score_gemma":0.00045590702,"threshold_uncertainty_score":0.42719266},"labels":[],"label_agreement":null},{"id":"W3116293652","doi":"10.3390/jrfm13120327","title":"Lack of Uniformity in the Israeli Property Tax System 1997–2017","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Property tax; Value-added tax; Public economics; Indirect tax; Tax reform; Ad valorem tax; Economics; Business","score_opus":0.03868361626960813,"score_gpt":0.21118947677104769,"score_spread":0.17250586050143957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116293652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92087257,0.0014395772,0.010382349,0.0017882558,0.00068534096,0.00043702466,0.000115774055,0.00001000391,0.06426912],"genre_scores_gemma":[0.9957598,0.0032874874,0.00049937796,0.00024035542,0.00016580323,0.0000020360967,8.1110994e-7,0.000006958225,0.000037355596],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99891037,0.000026210537,0.0007490972,0.00013095558,0.000041112846,0.00014226446],"domain_scores_gemma":[0.9990481,0.00002703584,0.0007267931,0.00012957562,0.000020798361,0.000047685622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012700828,0.00009489775,0.00039166136,0.00012614598,0.00006526447,0.000042657346,0.0002606919,0.00004872036,0.000007771019],"category_scores_gemma":[0.00008539251,0.000065341876,0.000101064055,0.00016852036,0.000040053405,0.00015172097,0.000067034096,0.00018554984,0.0000171502],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008385717,0.00038931068,0.46282417,0.0014515562,0.00012025468,0.00025146586,0.010119824,0.0010578056,0.0000021995008,0.3085501,0.02065663,0.19373813],"study_design_scores_gemma":[0.0024874876,0.00045804883,0.26974836,0.00017471719,0.000065785614,0.000029232322,0.0030242787,0.003924774,0.000008148347,0.009268223,0.71046466,0.0003462613],"about_ca_topic_score_codex":0.00012382232,"about_ca_topic_score_gemma":0.000042768632,"teacher_disagreement_score":0.6898081,"about_ca_system_score_codex":0.000045151828,"about_ca_system_score_gemma":0.000012886307,"threshold_uncertainty_score":0.26645643},"labels":[],"label_agreement":null},{"id":"W3117738059","doi":"10.1061/(asce)is.1943-555x.0000596","title":"Life-Cycle Cost Analysis Framework to Support Data Procurement Strategies for Infrastructure Assets","year":2020,"lang":"en","type":"article","venue":"Journal of Infrastructure Systems","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Procurement; Outsourcing; Data collection; Vendor; Cost estimate; Decision support system; Computer science; Agency (philosophy); Operations research; Risk analysis (engineering); Process management; Business; Engineering; Systems engineering; Marketing; Data mining","score_opus":0.050587368334878556,"score_gpt":0.2771934515352377,"score_spread":0.22660608320035916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117738059","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14207377,0.00081139995,0.83677644,0.004685406,0.0048925094,0.0017178922,0.0026223268,0.00006876407,0.0063515105],"genre_scores_gemma":[0.9811872,0.00006814658,0.015455672,0.0012649995,0.0018500526,0.000013982048,0.00009367891,0.000050124643,0.000016117396],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969477,0.000032952892,0.0019236723,0.0005263293,0.0001315332,0.0004378012],"domain_scores_gemma":[0.9964499,0.00011001357,0.0018599848,0.0006676805,0.00020979601,0.0007026666],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011034372,0.00032030596,0.0013262279,0.00046738834,0.00012977282,0.00065101904,0.0012363099,0.00027961435,0.00039206614],"category_scores_gemma":[0.0011986251,0.0003104084,0.00031214222,0.0007379601,0.00003595919,0.0008268489,0.00019763086,0.00046827877,0.000037682763],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005857683,0.00006951621,0.14527252,0.00070662855,0.004550459,0.000026365251,0.0044357195,0.55847365,0.00007733152,0.03547716,0.24463743,0.005687456],"study_design_scores_gemma":[0.002426269,0.0014053759,0.040346656,0.0001619434,0.00083801564,0.00008125247,0.0045690797,0.11302071,0.000020782834,0.037016407,0.79861766,0.001495851],"about_ca_topic_score_codex":0.000024722205,"about_ca_topic_score_gemma":0.0000137581355,"teacher_disagreement_score":0.8391135,"about_ca_system_score_codex":0.00019540364,"about_ca_system_score_gemma":0.0004082801,"threshold_uncertainty_score":0.9999348},"labels":[],"label_agreement":null},{"id":"W3118160361","doi":"10.26443/firr.v9i2.15","title":"The Chinese Housing Market: Are Homes Mispriced and Can we Expect a Crash","year":2019,"lang":"en","type":"article","venue":"Flux International Relations Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Speculation; Crash; Economic slowdown; Chinese market; Monetary economics; Economics; Market timing; Business; Market economy; Finance; China; Initial public offering","score_opus":0.014922940625804057,"score_gpt":0.23637330261348066,"score_spread":0.2214503619876766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118160361","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.081299946,0.05631683,0.00021741237,0.014638615,0.0012704073,0.0004685616,0.00007523318,0.000045092977,0.8456679],"genre_scores_gemma":[0.7055382,0.060245637,0.0004913035,0.00085481047,0.00021979341,0.00006169908,0.00005027409,0.000047265738,0.23249097],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99895227,0.000023206383,0.0005398219,0.00027820346,0.000044976936,0.00016150439],"domain_scores_gemma":[0.9989874,0.0002456721,0.00039002448,0.00027847372,0.000046225374,0.000052246334],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00055266224,0.00013792132,0.00030500928,0.00011409685,0.00018344095,0.00015252651,0.00024376526,0.00005280509,0.013291082],"category_scores_gemma":[0.00042401414,0.000118471165,0.00012193714,0.00018255966,0.000037802663,0.00019889575,0.00008200499,0.0001396924,0.004980387],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001820016,0.00006102093,0.7490547,0.0004359514,0.0002841395,0.000003562405,0.0002483839,0.00009720812,0.000003896217,0.050084565,0.15303272,0.046675675],"study_design_scores_gemma":[0.00028290413,0.000009596207,0.104267165,0.00054608926,0.000011561333,0.00000985306,0.00003750409,0.0053554755,4.536675e-7,0.009706837,0.87955207,0.00022046441],"about_ca_topic_score_codex":0.0000269375,"about_ca_topic_score_gemma":0.0000727782,"teacher_disagreement_score":0.72651935,"about_ca_system_score_codex":0.0001425646,"about_ca_system_score_gemma":0.00002173156,"threshold_uncertainty_score":0.99579436},"labels":[],"label_agreement":null},{"id":"W3118170049","doi":"10.1016/j.jue.2020.103313","title":"Market tremors: Shale gas exploration, earthquakes, and their impact on house prices","year":2020,"lang":"en","type":"article","venue":"Journal of Urban Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Smithsonian Environmental Research Center; Economic and Social Research Council; University of Bristol","keywords":"Shale gas; House price; Oil shale; Hydraulic fracturing; Economics; Petroleum engineering; Geology; Natural resource economics; Monetary economics; Paleontology","score_opus":0.03758102429846,"score_gpt":0.20362638740140732,"score_spread":0.16604536310294732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118170049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9781709,0.0007879987,0.00046895343,0.0036198865,0.0003942138,0.0001244341,0.00008195453,0.000030756553,0.016320923],"genre_scores_gemma":[0.993028,0.004484442,0.0005230855,0.0008572292,0.0009248266,0.0000019106644,0.0000033099586,0.000071952636,0.00010525053],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982283,0.000021824431,0.0011327127,0.000309635,0.00001867511,0.00028884975],"domain_scores_gemma":[0.9980051,0.00014309233,0.0012630769,0.00022537383,0.00003884167,0.00032455058],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007114174,0.0002771125,0.0007728424,0.0002487699,0.00009349311,0.00027189395,0.00028747253,0.00011721218,0.00034137483],"category_scores_gemma":[0.00013865769,0.00025427592,0.00028769593,0.00010386471,0.000062207815,0.0010407241,0.00004928171,0.00027399117,0.00014409969],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0038850892,0.0008765474,0.60748655,0.00025699075,0.0019004277,0.0000722687,0.024170153,0.014787277,0.00006805414,0.030779002,0.23892573,0.07679192],"study_design_scores_gemma":[0.009691748,0.005715949,0.09535863,0.00018551362,0.00010200081,0.00033790618,0.0033106292,0.17313847,0.00062856055,0.095162354,0.61333025,0.0030379887],"about_ca_topic_score_codex":0.000016338936,"about_ca_topic_score_gemma":0.000011844862,"teacher_disagreement_score":0.5121279,"about_ca_system_score_codex":0.00016760366,"about_ca_system_score_gemma":0.00006749278,"threshold_uncertainty_score":0.99999094},"labels":[],"label_agreement":null},{"id":"W3118970820","doi":"10.21474/ijar01/12130","title":"A DESCRIPTIVE ANALYSIS OF THE ROLE OF MORTGAGE PLANNING IN QUICK SALE OF RESIDENTIAL PROPERTIES IN THE CITY OF BRAMPTON, CANADA","year":2020,"lang":"en","type":"article","venue":"International Journal of Advanced Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Real estate; Database transaction; Finance; Collateralized mortgage obligation; Mortgage insurance","score_opus":0.08849822945634461,"score_gpt":0.304598155474052,"score_spread":0.2160999260177074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118970820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968282,0.0004723176,0.000048863018,0.000719049,0.00009210461,0.00007678542,0.000049202452,3.3525578e-7,0.0017131486],"genre_scores_gemma":[0.9996811,0.00013852316,0.00011300752,0.000018455608,0.000029047467,0.0000014025296,0.0000011095668,0.0000046941414,0.000012639905],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985052,0.000089922934,0.00095300406,0.00009642006,0.00023603221,0.000119446595],"domain_scores_gemma":[0.99859047,0.00018281778,0.0007677297,0.00011287271,0.00032146322,0.000024633846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014423836,0.00005234199,0.00036226015,0.0005012449,0.000017975584,0.0000117702475,0.0007084172,0.000028901772,0.000036945657],"category_scores_gemma":[0.00083197607,0.000040061586,0.000120552184,0.00060769153,0.00014451721,0.00015825906,0.00010511945,0.0002947518,1.3407696e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00070008985,0.00011831186,0.9237088,0.000031607327,0.00039909544,0.000009941454,0.008661361,0.05946707,0.0042944313,0.0017932041,0.000040081464,0.000776005],"study_design_scores_gemma":[0.0013265416,0.0002142027,0.9348388,0.00029851863,0.00002922018,0.0000043271402,0.014841224,0.013831254,0.026109146,0.0076517,0.0007299689,0.00012514953],"about_ca_topic_score_codex":0.05582663,"about_ca_topic_score_gemma":0.05314832,"teacher_disagreement_score":0.045635816,"about_ca_system_score_codex":0.00016759639,"about_ca_system_score_gemma":0.00027286267,"threshold_uncertainty_score":0.96412927},"labels":[],"label_agreement":null},{"id":"W3119310469","doi":"10.3390/su13020804","title":"Evaluating the Impact of Floods on Housing Price Using a Spatial Matching Difference-In-Differences (SM-DID) Approach","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Rimouski; Institut National de la Recherche Scientifique; Université Laval","funders":"Marine Environmental Observation Prediction and Response Network","keywords":"Matching (statistics); Externality; Difference in differences; Econometrics; Price premium; Economics; Spatial econometrics; Willingness to pay; Estimator; Hedonic pricing; Flooding (psychology); Average treatment effect; Microeconomics; Statistics; Mathematics","score_opus":0.0810812310983515,"score_gpt":0.3323729922132421,"score_spread":0.2512917611148906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119310469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98689663,0.00014599698,0.0060171564,0.0001237565,0.00017900937,0.00039075466,0.00002268422,0.00002407607,0.00619995],"genre_scores_gemma":[0.99837244,0.000021733023,0.0013911999,0.000021173355,0.000099709636,0.000015869706,0.000006181476,0.000027421536,0.00004429372],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99761194,0.00021239599,0.0009092006,0.0006432919,0.000076549906,0.0005466244],"domain_scores_gemma":[0.99823034,0.00035114246,0.0004949797,0.0006741297,0.00017924162,0.00007015889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024185018,0.00025414466,0.000687762,0.00017873204,0.00023296139,0.00014940658,0.0003067329,0.00013436159,0.000106645726],"category_scores_gemma":[0.0014778036,0.00022005907,0.00028612657,0.0004585922,0.00014791454,0.00015972194,0.00018582269,0.0003622769,0.0000032832886],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017381908,0.00057744986,0.92144644,0.00029738602,0.00007657834,0.000006439854,0.0045674574,0.05011037,0.00009499316,0.008340028,0.0000024399712,0.014306574],"study_design_scores_gemma":[0.0005571021,0.00017382397,0.61490303,0.000038350478,0.0000107340165,0.0000043857826,0.0017269586,0.25844696,0.00005686397,0.123767905,0.0000038728,0.00031003266],"about_ca_topic_score_codex":0.008095239,"about_ca_topic_score_gemma":0.00017532845,"teacher_disagreement_score":0.30654344,"about_ca_system_score_codex":0.0015516725,"about_ca_system_score_gemma":0.00059701526,"threshold_uncertainty_score":0.99850994},"labels":[],"label_agreement":null},{"id":"W3121150053","doi":"10.1515/1935-1690.2371","title":"The Local Effects of Monetary Policy","year":2012,"lang":"en","type":"article","venue":"The B E Journal of Macroeconomics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Economics; Monetary policy; Equity (law); Interest rate; Monetary economics; Metropolitan area; Business cycle; Bayesian vector autoregression; Empirical evidence; Econometrics; Bayesian probability; Macroeconomics; Geography","score_opus":0.010430177427682954,"score_gpt":0.2061268414636172,"score_spread":0.19569666403593425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121150053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.965779,0.008156922,0.002904716,0.0020361193,0.0019862638,0.00015139804,0.000012908081,0.000007201717,0.018965444],"genre_scores_gemma":[0.9917858,0.0066574235,0.00021486318,0.00028549618,0.0008383804,0.0000014489752,5.8038734e-7,0.000028124921,0.00018787496],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99835616,0.00005033362,0.0010869887,0.00008105702,0.00002612878,0.00039933223],"domain_scores_gemma":[0.9973886,0.0006669362,0.0013982968,0.00038787493,0.00003285282,0.00012541938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027391803,0.00014633877,0.00044974324,0.00015261889,0.0001755381,0.000040595354,0.0006473462,0.000078252044,0.000031752308],"category_scores_gemma":[0.00019601265,0.000104437815,0.00023215762,0.00009842999,0.00027205213,0.00032326646,0.00010366623,0.00026508677,0.00015016903],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012796482,0.00061868544,0.22848725,0.00030965242,0.001667483,0.000007037335,0.008025742,0.0083653405,0.0002032556,0.54099756,0.017834814,0.19220352],"study_design_scores_gemma":[0.004818404,0.00084237184,0.15243171,0.00012419019,0.0002534999,0.00066934526,0.0018979443,0.008489935,0.0057498044,0.21857119,0.6048694,0.0012822124],"about_ca_topic_score_codex":0.00013313701,"about_ca_topic_score_gemma":0.000017913877,"teacher_disagreement_score":0.5870346,"about_ca_system_score_codex":0.0001946131,"about_ca_system_score_gemma":0.00006618574,"threshold_uncertainty_score":0.42588505},"labels":[],"label_agreement":null},{"id":"W3121170873","doi":"10.2139/ssrn.3687307","title":"Alternative Evidence and Views on Asymmetric Loan Loss Provisioning","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Provisioning; Loan; Business; Economics; Computer science; Finance; Telecommunications","score_opus":0.047129622510728136,"score_gpt":0.24889093305052926,"score_spread":0.20176131053980112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121170873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88928854,0.020611823,0.030774953,0.009708314,0.0007065906,0.00039896628,0.000012692562,0.00006995596,0.04842813],"genre_scores_gemma":[0.97234267,0.026119655,0.00014490796,0.0007144829,0.00043954208,0.000003325017,9.457059e-7,0.000029537747,0.00020492637],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978448,0.000033038632,0.0005202058,0.00038967424,0.000045954654,0.0011662857],"domain_scores_gemma":[0.99913603,0.00011651955,0.00042275744,0.00013371372,0.000024208664,0.00016674142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017928276,0.00017470791,0.0003579545,0.0002246478,0.00020646176,0.00018483437,0.00028203314,0.00006647968,0.00004972007],"category_scores_gemma":[0.0005132374,0.00018288664,0.00010353669,0.00027855526,0.000043396092,0.00043287958,0.00006583595,0.0011791528,0.00035051967],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019285723,0.000074739226,0.05030693,0.000030220415,0.00017626747,0.000015158442,0.00102704,0.000414332,0.000010697238,0.8152578,0.00025654037,0.13223746],"study_design_scores_gemma":[0.0019606184,0.0023768349,0.0045573944,0.00015745925,0.000029138419,0.00026984263,0.000707818,0.01997837,0.00010239998,0.9300721,0.038819667,0.0009683248],"about_ca_topic_score_codex":0.00005785047,"about_ca_topic_score_gemma":0.000048821712,"teacher_disagreement_score":0.13126913,"about_ca_system_score_codex":0.0005635219,"about_ca_system_score_gemma":0.00021426231,"threshold_uncertainty_score":0.74579006},"labels":[],"label_agreement":null},{"id":"W3121173385","doi":"","title":"House price developments and fundamentals in the United States","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic rent; Economics; Quarter (Canadian coin); House price; Econometrics; Agricultural economics; Microeconomics; Geography","score_opus":0.06697560030095227,"score_gpt":0.3036125601871714,"score_spread":0.23663695988621913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121173385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85556114,0.00032895253,0.000010871453,0.00047485647,0.0003758103,0.00082584086,0.00009189991,0.000039821887,0.14229085],"genre_scores_gemma":[0.93631566,0.060878195,0.00087355584,0.0007106413,0.0001375252,0.00018616144,0.00018609005,0.00013887045,0.0005732929],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.995897,0.00016497765,0.0015177258,0.0011658267,0.00008539228,0.0011691042],"domain_scores_gemma":[0.9975818,0.0008262868,0.00046431273,0.0009130026,0.00004019864,0.00017444405],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008376576,0.00041892388,0.00081964,0.002049783,0.00020841492,0.0005143884,0.0010114643,0.0005251191,0.000092770046],"category_scores_gemma":[0.00036279508,0.00046178297,0.00011366112,0.00042584102,0.00035389795,0.0001802688,0.0010973014,0.0018259586,0.000077996825],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043029865,0.00096244976,0.80835944,0.0007322314,0.00035399594,0.00019392945,0.016944528,0.015722005,0.0000049175437,0.014521261,0.0006109749,0.14116399],"study_design_scores_gemma":[0.0035761592,0.00020264246,0.30608383,0.0004899896,0.00001145144,0.00004412267,0.008229927,0.036364324,0.0000308103,0.06764317,0.5747892,0.002534331],"about_ca_topic_score_codex":0.0011484441,"about_ca_topic_score_gemma":0.0011764189,"teacher_disagreement_score":0.5741783,"about_ca_system_score_codex":0.001490666,"about_ca_system_score_gemma":0.00018822635,"threshold_uncertainty_score":0.9997834},"labels":[],"label_agreement":null},{"id":"W3121178394","doi":"10.34989/swp-2016-31","title":"Housing Market Dynamics and Macroprudential Policy","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Economics; Bust; Spillover effect; Boom; Monetary economics; New Keynesian economics; Inflation (cosmology); Monetary policy; Business cycle; Value (mathematics); Macroeconomics; Consumption (sociology); Fiscal policy; Keynesian economics","score_opus":0.014544128387163456,"score_gpt":0.22200118161642612,"score_spread":0.20745705322926267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121178394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7621964,0.0030580894,0.0021446368,0.00076046976,0.006033132,0.00043779906,0.0009288537,0.00020059306,0.22424002],"genre_scores_gemma":[0.9832197,0.005034885,0.00420586,0.000612323,0.0019610585,0.00006990767,0.00032379513,0.00026780865,0.004304653],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99467367,0.000099015015,0.001973741,0.0020416388,0.000087373126,0.0011245523],"domain_scores_gemma":[0.99628294,0.00019029294,0.001481644,0.0014675587,0.00009370451,0.00048385523],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013291794,0.000954733,0.0020065464,0.0011814379,0.0004358678,0.0013426477,0.00079456466,0.001158353,0.0039272406],"category_scores_gemma":[0.00036542543,0.0013922973,0.00065788836,0.00028858412,0.0005988272,0.00051127846,0.0017707691,0.0013887971,0.0003890045],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005881793,0.00015240435,0.9597914,0.0004993674,0.0005576582,0.00013641018,0.0005406245,0.00016430285,0.0000052964647,0.025076736,0.004664324,0.0083526345],"study_design_scores_gemma":[0.0088175,0.00033051055,0.6268565,0.0019395628,0.00061958586,0.0015879734,0.0025164625,0.13898556,0.00021573037,0.10214752,0.10042212,0.015560981],"about_ca_topic_score_codex":0.0018355763,"about_ca_topic_score_gemma":0.0022227683,"teacher_disagreement_score":0.33293492,"about_ca_system_score_codex":0.0018781841,"about_ca_system_score_gemma":0.00079990434,"threshold_uncertainty_score":0.99969405},"labels":[],"label_agreement":null},{"id":"W3121203693","doi":"10.1007/s001810100116","title":"Fads or bubbles?","year":2002,"lang":"en","type":"article","venue":"Empirical Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Econometrics; Economics; Dividend; Regression; Mathematics; Statistics","score_opus":0.12498861367387687,"score_gpt":0.2551614189228695,"score_spread":0.1301728052489926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121203693","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37934098,0.0003535083,0.00079564,0.0038897942,0.001158019,0.00018104176,0.00007980778,0.00016335577,0.6140379],"genre_scores_gemma":[0.97572696,0.0024715748,0.0022481158,0.0038466237,0.00064669066,0.000029199142,0.000016601887,0.0001004992,0.014913742],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.997765,0.000013998882,0.0009661838,0.0006584788,0.000015553196,0.000580794],"domain_scores_gemma":[0.99869674,0.00012590694,0.00032702897,0.0005842163,0.0000146299935,0.00025148844],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00041036055,0.00027215513,0.0006326636,0.00021782155,0.00016413402,0.00019691195,0.0004257751,0.00023126563,0.012453679],"category_scores_gemma":[0.00015480054,0.00030320726,0.00021848765,0.00017962312,0.0001079868,0.00041231007,0.00012241532,0.00023386895,0.013821036],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026838595,0.0012146991,0.27416772,0.000115809,0.0004016189,0.00006254069,0.0029124464,0.002466582,0.0000046496625,0.31047863,0.32431957,0.08358735],"study_design_scores_gemma":[0.0008197654,0.00010224211,0.0025602963,0.000005508366,0.0000062805634,0.000024418607,0.0000452592,0.04832752,0.000014268358,0.030509701,0.91697097,0.00061374094],"about_ca_topic_score_codex":0.000041425945,"about_ca_topic_score_gemma":0.00006400333,"teacher_disagreement_score":0.59912413,"about_ca_system_score_codex":0.0002926459,"about_ca_system_score_gemma":0.000020324918,"threshold_uncertainty_score":0.999942},"labels":[],"label_agreement":null},{"id":"W3121239629","doi":"10.2139/ssrn.369260","title":"The Decline in Private Saving Rates in the 1990s in OECD Countries: How Much Can Be Explained By Non-Wealth Determinants?","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Economics; Demographic economics; Monetary economics","score_opus":0.012117304724209495,"score_gpt":0.2263180324238368,"score_spread":0.2142007276996273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121239629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.987722,0.0028859181,0.00018281519,0.0072814273,0.00023713132,0.00024966957,0.000011425554,0.000005705107,0.0014239517],"genre_scores_gemma":[0.9691366,0.029778002,0.000035175497,0.0007149521,0.00007153851,0.000022479226,0.0000038934586,0.000031288546,0.00020607917],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9964916,0.00013467004,0.00085816026,0.00030389734,0.000057846002,0.0021537917],"domain_scores_gemma":[0.99884194,0.00032621188,0.0004777406,0.00028405312,0.0000136082,0.000056457655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009662128,0.00021806826,0.00042294015,0.0002644419,0.00031292674,0.0003185475,0.0005811344,0.000115998955,0.000020858659],"category_scores_gemma":[0.00027823943,0.0001762096,0.00008002559,0.00028624348,0.00007014898,0.00027107185,0.000038597318,0.0014891232,0.00001716177],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012993034,0.00015302502,0.88141775,0.0000192955,0.000039496845,0.000021101749,0.0025143803,0.00010228082,0.000023483904,0.110069625,0.0005374269,0.004972224],"study_design_scores_gemma":[0.008567344,0.00066224276,0.047261704,0.00013491545,0.00001531299,0.00039538532,0.018679524,0.0083949305,0.0002472211,0.7219571,0.1922103,0.0014740466],"about_ca_topic_score_codex":0.0009361682,"about_ca_topic_score_gemma":0.10808855,"teacher_disagreement_score":0.83415604,"about_ca_system_score_codex":0.0015915914,"about_ca_system_score_gemma":0.0006310929,"threshold_uncertainty_score":0.9081865},"labels":[],"label_agreement":null},{"id":"W3121240103","doi":"","title":"Comparing Consumption-Based Asset-Pricing Models","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Capital asset pricing model; Econometrics; Economics; Consumption (sociology); Contrast (vision); Stock (firearms); Asset (computer security); Parametric statistics; Substitution (logic); Computer science; Mathematics; Statistics; Engineering","score_opus":0.059120298438063976,"score_gpt":0.21540196508429302,"score_spread":0.15628166664622906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121240103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7365146,0.0061251475,0.14045131,0.00082040334,0.0006838534,0.0001351036,0.000006830032,0.000096024334,0.115166724],"genre_scores_gemma":[0.99338806,0.0051486623,0.0003391439,0.0001678883,0.00019445622,0.0000034360696,0.0000033299086,0.000036527712,0.0007185089],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99737257,0.00002050713,0.00060207315,0.00027073687,0.000037253114,0.0016968593],"domain_scores_gemma":[0.99923784,0.000054066437,0.00037094456,0.00021448321,0.00002302895,0.000099637684],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001582389,0.0001672975,0.00036636987,0.0002691891,0.0002974542,0.00016680338,0.00027662684,0.00009095599,0.0004258343],"category_scores_gemma":[0.000038002985,0.0002048615,0.00015727241,0.000116484465,0.000039107574,0.00038873547,0.000025760557,0.0010746436,0.0008894277],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025863992,0.00013603775,0.1834537,0.000017286353,0.00015970155,0.0000038195394,0.0002059828,0.032993402,0.00000767902,0.775659,0.0004701234,0.0068673585],"study_design_scores_gemma":[0.00093998754,0.000060885744,0.0008428961,0.000015474518,0.000009944198,0.00006550949,0.0000844938,0.63535625,0.0000061099267,0.3598634,0.0024418165,0.0003132487],"about_ca_topic_score_codex":0.000080952814,"about_ca_topic_score_gemma":0.00025141836,"teacher_disagreement_score":0.6023629,"about_ca_system_score_codex":0.0011694401,"about_ca_system_score_gemma":0.00011580638,"threshold_uncertainty_score":0.9998885},"labels":[],"label_agreement":null},{"id":"W3121240162","doi":"","title":"Multi-state residential transaction estimates of solar photovoltaic system premiums","year":2017,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Photovoltaic system; Income approach; Proxy (statistics); Quarter (Canadian coin); Business; Valuation (finance); Incentive; Database transaction; Environmental economics; Econometrics; Economics; Finance; Microeconomics; Engineering; Electrical engineering; Statistics; Computer science; Geography","score_opus":0.053581812934029305,"score_gpt":0.2963840387042443,"score_spread":0.24280222577021499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121240162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8358789,0.00074238906,0.0009638253,0.00009759326,0.0035528645,0.0020135466,0.0010012181,0.00015763968,0.15559202],"genre_scores_gemma":[0.9829849,0.011644219,0.003545851,0.000008284283,0.00021515145,0.0002103758,0.00009485263,0.00016977925,0.0011266057],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9949112,0.000115994066,0.0022064182,0.0015702333,0.00010150762,0.0010946359],"domain_scores_gemma":[0.9955792,0.00030988478,0.0016494172,0.0020912548,0.0001267634,0.00024351024],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0044423137,0.00054848334,0.0017211953,0.0012445325,0.00037239256,0.00048643613,0.0014677308,0.00081531086,0.000116899355],"category_scores_gemma":[0.00051645504,0.0007444082,0.0005153167,0.00009787156,0.0004933395,0.0004015251,0.0006892261,0.0017130363,0.000095251795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003166693,0.0027698465,0.3990167,0.018865522,0.0032843086,0.00037177047,0.009055221,0.18173632,0.0046952716,0.0038580091,0.00046780804,0.37271255],"study_design_scores_gemma":[0.0051851533,0.00030444204,0.0531213,0.0023410332,0.000071062284,0.000045756176,0.0010424813,0.8981298,0.0057420367,0.018853389,0.012163798,0.0029997402],"about_ca_topic_score_codex":0.0025039874,"about_ca_topic_score_gemma":0.0014694202,"teacher_disagreement_score":0.7163935,"about_ca_system_score_codex":0.001759601,"about_ca_system_score_gemma":0.00040422787,"threshold_uncertainty_score":0.9995007},"labels":[],"label_agreement":null},{"id":"W3121246213","doi":"10.1057/imfer.2010.2","title":"Household Leverage and the Recession of 2007–09","year":2010,"lang":"en","type":"article","venue":"IMF Economic Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":371,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Recession; Leverage (statistics); Economics; Consumption (sociology); Unemployment; Quarter (Canadian coin); Financial crisis; Monetary economics; Credit card; Durable good; Demographic economics; Finance; Macroeconomics; Geography; Payment","score_opus":0.03610389369597473,"score_gpt":0.23492978672610118,"score_spread":0.19882589303012646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121246213","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39464077,0.09832747,0.00011745598,0.0076477844,0.0038270596,0.00117501,0.00017664938,0.000062693514,0.4940251],"genre_scores_gemma":[0.5029582,0.49473318,0.00037683098,0.0009965824,0.00026277738,0.000034758963,0.000008117234,0.00004094836,0.0005886106],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99841684,0.000027219701,0.0009915,0.00034123127,0.000012252173,0.00021097223],"domain_scores_gemma":[0.9984822,0.00014705928,0.00068313093,0.0006057419,0.000008886832,0.00007298327],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021959296,0.00016502991,0.000810363,0.000069440066,0.000086776716,0.000054201308,0.00032130393,0.00009394777,0.0012220563],"category_scores_gemma":[0.00013303534,0.0001379978,0.00018035955,0.000050713174,0.00021354236,0.00022475913,0.000100465,0.00022800307,0.00047600723],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014916674,0.00011859974,0.036648363,0.0026640857,0.00023255472,0.000003255812,0.0003786762,0.000075724594,0.000045565015,0.6674635,0.06484871,0.2273718],"study_design_scores_gemma":[0.0010780531,0.000016932378,0.0031291782,0.00024021442,0.000024006948,0.000018750789,0.00000727182,0.0008710506,0.000028206083,0.015604125,0.97869706,0.00028515665],"about_ca_topic_score_codex":0.00018498315,"about_ca_topic_score_gemma":0.00005008738,"teacher_disagreement_score":0.91384834,"about_ca_system_score_codex":0.000034037417,"about_ca_system_score_gemma":0.000027871329,"threshold_uncertainty_score":0.99969095},"labels":[],"label_agreement":null},{"id":"W3121292900","doi":"","title":"Precautionary Balances and the Velocity of Circulation of Money","year":2006,"lang":"en","type":"preprint","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Circulation (fluid dynamics); Economics; Monetary economics; Interest rate; Preference; Sample (material); Microeconomics; Mechanics; Physics; Thermodynamics","score_opus":0.024074962403909262,"score_gpt":0.21966560523628714,"score_spread":0.19559064283237787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121292900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57194966,0.004384563,0.009544248,0.009219245,0.0019372075,0.0011927347,0.00064475485,0.00014605543,0.40098152],"genre_scores_gemma":[0.9956221,0.0008302669,0.0028762145,0.000032738695,0.00026259516,0.00008791108,0.00018803508,0.000031297182,0.000068834815],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975334,0.00014423707,0.0012946597,0.00059202267,0.00013434996,0.00030132523],"domain_scores_gemma":[0.9973569,0.00025392458,0.0015566867,0.00055570883,0.00017560092,0.00010118409],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013131561,0.00031351732,0.00087410863,0.00034804465,0.00022684978,0.00009369732,0.0004620139,0.0005480595,0.000019781122],"category_scores_gemma":[0.00033803418,0.00030665458,0.00028279773,0.00022356701,0.0000938189,0.00019501998,0.00040883664,0.0004948783,0.0000028501386],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019145536,0.00017969204,0.010832669,0.00032979742,0.00016973598,0.0000030585056,0.0008590923,0.0016833125,0.000027767233,0.98440707,0.00020558956,0.0011107392],"study_design_scores_gemma":[0.0047901543,0.00007106986,0.30123857,0.0005557329,0.00020613708,0.00020606667,0.00022650699,0.06715798,0.0002921498,0.16161378,0.462248,0.0013938766],"about_ca_topic_score_codex":0.000025466625,"about_ca_topic_score_gemma":0.00006716971,"teacher_disagreement_score":0.8227933,"about_ca_system_score_codex":0.0002820578,"about_ca_system_score_gemma":0.00022455963,"threshold_uncertainty_score":0.99993855},"labels":[],"label_agreement":null},{"id":"W3121328119","doi":"10.3386/w10871","title":"Tiebout Sorting, Social Multipliers and the Demand for School Quality","year":2004,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Tiebout model; Sorting; Economics; Quality (philosophy); Microeconomics; Computer science; Public good","score_opus":0.4125758070235742,"score_gpt":0.49919940272555796,"score_spread":0.08662359570198375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121328119","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0042860503,0.0016463548,0.00015004053,0.0025580572,0.0008523345,0.00142665,0.00039852792,0.000020455514,0.9886615],"genre_scores_gemma":[0.9847879,0.003438533,0.00051919126,0.000087223074,0.002303502,0.00038870896,0.00035445605,0.00010207667,0.008018448],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9964056,0.00010515606,0.0019067611,0.0007725856,0.00024012262,0.0005697591],"domain_scores_gemma":[0.995864,0.0016073101,0.0014271914,0.00032262548,0.00064822263,0.00013067505],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.02253235,0.0002771732,0.0011696464,0.0006313002,0.0005695699,0.00022923581,0.0005547961,0.0005635674,0.00028588547],"category_scores_gemma":[0.0052016987,0.00027957716,0.0004392835,0.00010627997,0.0008916655,0.00019323119,0.0002239157,0.00072192424,0.00015301329],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029373897,0.00004187565,0.002651412,0.00032716471,0.00029056848,2.360301e-7,0.00023920932,0.0002514133,9.822718e-7,0.9778505,0.01688782,0.0011650692],"study_design_scores_gemma":[0.002961498,0.000034585217,0.0014359984,0.00003648188,0.000012805712,0.0000036228987,0.000088402994,0.0009645587,0.00000630631,0.96797115,0.026182007,0.00030259814],"about_ca_topic_score_codex":0.0028557987,"about_ca_topic_score_gemma":0.0003472799,"teacher_disagreement_score":0.9806431,"about_ca_system_score_codex":0.002543422,"about_ca_system_score_gemma":0.002272423,"threshold_uncertainty_score":0.99996567},"labels":[],"label_agreement":null},{"id":"W3121394646","doi":"10.15396/eres2010_341","title":"Home equity, fiscal policy and the demand for housing","year":2010,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Equity (law); Database transaction; Argument (complex analysis); Economics; Business; Advertising; Demographic economics; Geography; Political science","score_opus":0.03255742821087308,"score_gpt":0.2554006653055033,"score_spread":0.22284323709463022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121394646","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6796131,0.000097743454,0.0067318077,0.0058190376,0.0006001267,0.00027096062,0.000028968641,0.00004187124,0.30679637],"genre_scores_gemma":[0.9958624,0.00014521065,0.0016376309,0.0007444563,0.0005399674,0.000017036007,0.0000028280215,0.00002066081,0.0010297634],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992042,0.0000048333936,0.0002953589,0.00022069932,0.000010635022,0.00026427038],"domain_scores_gemma":[0.9993924,0.00020565974,0.00011162099,0.00021787459,0.000008023095,0.00006441531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011057009,0.000097479446,0.0002575589,0.00010355472,0.00020698085,0.00022720416,0.0001676354,0.000088015404,0.00011649307],"category_scores_gemma":[0.00022316446,0.0000802678,0.000083253006,0.00006698994,0.00017745722,0.00014079003,0.00016077726,0.00011723045,0.000056551657],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045375557,0.000012609725,0.013639353,0.000013641535,0.000016756096,1.4229785e-7,0.00015148833,0.000005424586,0.000012492153,0.97445065,0.0007751228,0.010876922],"study_design_scores_gemma":[0.0029521515,0.000030797222,0.013381885,0.0000032441294,0.00000876237,0.000009714685,0.0000400697,0.021404289,0.00004108191,0.8497898,0.11202273,0.00031550933],"about_ca_topic_score_codex":0.0002714715,"about_ca_topic_score_gemma":0.0003712055,"teacher_disagreement_score":0.31624934,"about_ca_system_score_codex":0.00002287864,"about_ca_system_score_gemma":0.0000143450425,"threshold_uncertainty_score":0.3273226},"labels":[],"label_agreement":null},{"id":"W3121409252","doi":"","title":"Fixed Come Hell or High Water? Selection and Prepayment of Fixed Rate Mortgages Outside the US","year":2011,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Prepayment of loan; Fixed interest rate loan; Fixed cost; Interest rate; Floating interest rate; Economics; Selection (genetic algorithm); Monetary economics; Business; Finance; Microeconomics; Computer science","score_opus":0.041946394272774266,"score_gpt":0.19842782650889187,"score_spread":0.1564814322361176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121409252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95676374,0.000039618822,0.00045383326,0.00024962454,0.00029191724,0.00020266668,0.000016535043,0.00003720246,0.041944843],"genre_scores_gemma":[0.9943853,0.00036151498,0.00066085905,0.00015008233,0.00004111114,0.000015353253,0.0000061133605,0.000018972189,0.0043606837],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989745,0.00002384164,0.0004926547,0.00026278285,0.0000139855165,0.00023226139],"domain_scores_gemma":[0.9994759,0.000044892535,0.00018313977,0.00022891433,0.0000191526,0.00004803418],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00067443174,0.00012924486,0.00031491186,0.00009381752,0.00010618057,0.000043569016,0.00013494655,0.00007003008,0.001434655],"category_scores_gemma":[0.00002573366,0.00008582279,0.00005453949,0.0000684582,0.000068673544,0.00015356453,0.00007798867,0.00007822363,0.00012828695],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014372836,0.00069348613,0.85179603,0.00032698744,0.0007978309,0.000011729696,0.010821528,0.0007625492,0.0022122546,0.11888838,0.0039068176,0.008345154],"study_design_scores_gemma":[0.0047588437,0.0013452432,0.66951746,0.000054582157,0.00011701832,0.000043176962,0.00076878944,0.033524703,0.14110975,0.07254361,0.07442799,0.0017888148],"about_ca_topic_score_codex":0.0018073556,"about_ca_topic_score_gemma":0.0006048182,"teacher_disagreement_score":0.18227853,"about_ca_system_score_codex":0.000042217347,"about_ca_system_score_gemma":0.000009735246,"threshold_uncertainty_score":0.99947816},"labels":[],"label_agreement":null},{"id":"W3121415036","doi":"10.2139/ssrn.3274347","title":"The Propagation of Regional Shocks in Housing Markets: Evidence from Oil Price Shocks in Canada","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Oil price; Economics; Monetary economics","score_opus":0.018073147544954336,"score_gpt":0.20392689230937022,"score_spread":0.18585374476441588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121415036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899101,0.003832554,0.00077603676,0.0011308836,0.00037369295,0.000064911575,0.0000050266067,0.000003886673,0.003902896],"genre_scores_gemma":[0.985515,0.013880255,0.00007794032,0.00007619968,0.00024247466,0.000004520386,0.0000021084356,0.000019678962,0.00018180236],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99759716,0.00005984766,0.00084804406,0.00025849562,0.00006924365,0.0011671893],"domain_scores_gemma":[0.99887484,0.00024817846,0.00056050485,0.00021846233,0.00004926093,0.000048774375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031894424,0.00013331925,0.00028641455,0.00016583643,0.00016491344,0.000066026994,0.00038866058,0.00006999117,0.00005235317],"category_scores_gemma":[0.00028933652,0.00012969573,0.000056447945,0.0002724586,0.000073805786,0.00033479545,0.000045707446,0.00083417626,0.000011166834],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043854825,0.000047895126,0.9298199,0.000013770053,0.00007503033,0.000005058943,0.00052805385,0.0003349292,0.000048798935,0.013708405,0.00025269904,0.05472694],"study_design_scores_gemma":[0.0031943019,0.00038626214,0.47249356,0.00081853307,0.000023462024,0.00013173165,0.005936504,0.050895967,0.00026261684,0.452989,0.011618571,0.0012494782],"about_ca_topic_score_codex":0.51846844,"about_ca_topic_score_gemma":0.96723616,"teacher_disagreement_score":0.45732632,"about_ca_system_score_codex":0.005000582,"about_ca_system_score_gemma":0.00391539,"threshold_uncertainty_score":0.99881905},"labels":[],"label_agreement":null},{"id":"W3121439411","doi":"10.24149/gwp80","title":"Monetary Policy, Capital Inflows, and the Housing Boom","year":2011,"lang":"en","type":"article","venue":"Federal Reserve Bank of Dallas, Globalization and Monetary Policy Institute Working Papers","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Economics; Monetary economics; Monetary policy; Boom; Dynamic stochastic general equilibrium; Capital (architecture); Macroeconomics; Investment (military)","score_opus":0.034544799292216266,"score_gpt":0.22790263731128418,"score_spread":0.19335783801906792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121439411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7031696,0.0032137954,0.00023411574,0.002200121,0.00046882467,0.00041398004,0.00006878513,0.00007521814,0.29015556],"genre_scores_gemma":[0.99079686,0.006416122,0.0007908896,0.0013263763,0.0003301897,0.000009014307,0.0000624863,0.000032647782,0.0002354241],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99815476,0.000055025455,0.0007945874,0.00046167194,0.00007627317,0.00045765325],"domain_scores_gemma":[0.99894,0.000047707872,0.000439942,0.00037143033,0.000026049995,0.00017485388],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005189114,0.00030177514,0.0005642879,0.00033935963,0.0004608298,0.00018738274,0.00029410928,0.00018055642,0.000046279718],"category_scores_gemma":[0.00026418598,0.00029022936,0.00013554358,0.00037346905,0.0006096947,0.00038615015,0.00022197017,0.00016489746,0.000011993963],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056450843,0.000077097684,0.26321867,0.000115830706,0.0003440308,0.000010248297,0.0041103293,0.002168138,0.000017705745,0.7172919,0.00046948926,0.011612064],"study_design_scores_gemma":[0.013869494,0.0004029378,0.48096582,0.0005429791,0.00017969025,0.00011744841,0.0010521829,0.032686397,0.00009677249,0.1481612,0.3191993,0.002725804],"about_ca_topic_score_codex":0.034097638,"about_ca_topic_score_gemma":0.004101456,"teacher_disagreement_score":0.5691307,"about_ca_system_score_codex":0.000121376586,"about_ca_system_score_gemma":0.00009642586,"threshold_uncertainty_score":0.999955},"labels":[],"label_agreement":null},{"id":"W3121476165","doi":"","title":"Shopping, Gambling or Shambling? Penny Auctions","year":2013,"lang":"en","type":"article","venue":"Cornell Peter and Stephanie Nolan School of Hotel Administration (Cornell University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Common value auction; Advertising; Penny; Business; Commerce; Marketing; Economics; Microeconomics; History","score_opus":0.0774678036786834,"score_gpt":0.21025124306184534,"score_spread":0.13278343938316195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121476165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9284647,0.000077827826,0.010966136,0.0000055147116,0.000301708,0.00026505196,0.0000416303,0.000064222644,0.059813194],"genre_scores_gemma":[0.9956805,0.00036811992,0.0007037546,0.00009616449,0.00011757221,0.000002417636,0.000025599884,0.000027281154,0.0029785524],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99844855,0.000022720664,0.0005917354,0.00057757954,0.000031987827,0.00032741838],"domain_scores_gemma":[0.9987412,0.00008039438,0.00041614904,0.00037553115,0.00009797906,0.00028875563],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002484568,0.00023925546,0.00043287256,0.00040828818,0.00013386608,0.00021162031,0.00027002583,0.00014658648,0.002549405],"category_scores_gemma":[0.000099394056,0.0002817015,0.00014020308,0.00032158327,0.00011358571,0.00083711674,0.00008377949,0.00021603066,0.0005833631],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003489365,0.00023530578,0.99552286,0.00014157756,0.00013300519,0.00005427532,0.00025132662,0.0003816182,0.00024704373,0.0011805976,0.001320537,0.00018294038],"study_design_scores_gemma":[0.002144038,0.0006429958,0.9784996,0.000060525952,0.000064347994,0.00006355081,0.0009255088,0.0027618648,0.00023392425,0.012185437,0.0015301105,0.00088812754],"about_ca_topic_score_codex":0.00009236773,"about_ca_topic_score_gemma":0.00017833995,"teacher_disagreement_score":0.06721582,"about_ca_system_score_codex":0.000097809876,"about_ca_system_score_gemma":0.00008979472,"threshold_uncertainty_score":0.9999635},"labels":[],"label_agreement":null},{"id":"W3121477431","doi":"10.1111/j.1540-6229.2005.00137.x","title":"Spatial Heterogeneity in Mortgage Terminations by Refinance, Sale and Default","year":2005,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Unobservable; Econometrics; Economics; Covariance; Estimation; Hazard; Actuarial science; Statistics; Mathematics","score_opus":0.01641559117908438,"score_gpt":0.22030328861383774,"score_spread":0.20388769743475338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121477431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86120933,0.000089558795,0.00018762403,0.0003731068,0.0001816291,0.00014925002,0.00029489587,0.00003803229,0.13747658],"genre_scores_gemma":[0.9765255,0.021591138,0.0010560611,0.00010738298,0.0001206088,0.000026721917,0.00008103249,0.0000478444,0.0004437114],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981527,0.000015194434,0.00084146985,0.0005538256,0.000012025271,0.0004248119],"domain_scores_gemma":[0.9991538,0.00005803689,0.0003276587,0.00032052217,0.000010414576,0.00012956622],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005014219,0.00021980268,0.00046571065,0.00021905357,0.000108670356,0.00011711733,0.0001813585,0.00014949452,0.00006731903],"category_scores_gemma":[0.000031407602,0.00030772772,0.000077363016,0.000082926126,0.000092615635,0.000505165,0.00008654981,0.00017749425,0.000252329],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000102435595,0.000411585,0.45881873,0.00007053919,0.00006629579,0.000013148174,0.0014979615,0.0043244236,0.00006018699,0.01827137,0.0016617902,0.51470155],"study_design_scores_gemma":[0.0030384099,0.00014103384,0.21779649,0.00002569012,0.000013683132,0.000035713616,0.00012516227,0.1682671,0.00041162095,0.007520003,0.6011671,0.0014579823],"about_ca_topic_score_codex":0.0030740409,"about_ca_topic_score_gemma":0.008048835,"teacher_disagreement_score":0.5995053,"about_ca_system_score_codex":0.00033968643,"about_ca_system_score_gemma":0.000032226304,"threshold_uncertainty_score":0.9999375},"labels":[],"label_agreement":null},{"id":"W3121487020","doi":"","title":"Rationalizing the Higher Demand for Safety Embedded on Specific Dwelling Characteristics: The Case of Monterrey, Mexico between 2003 and 2015","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Real estate; Metropolitan area; Sample (material); Purchasing; Demographic economics; Economics; Low income; Business; Agricultural economics; Geography; Finance; Operations management","score_opus":0.06898473872019915,"score_gpt":0.30654857410913766,"score_spread":0.2375638353889385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121487020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.793099,0.002094344,0.0012453041,0.0065851873,0.0031814282,0.004398345,0.004113912,0.000049076632,0.18523341],"genre_scores_gemma":[0.9829171,0.014058301,0.00036529155,0.00011545049,0.0009023197,0.00021784358,0.000097575496,0.00009916356,0.001227011],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966632,0.00016375024,0.0015421943,0.00092794024,0.000051216935,0.0006516906],"domain_scores_gemma":[0.9957977,0.0019857616,0.0008590614,0.0011051683,0.0001270079,0.00012532675],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0055518085,0.0003610604,0.0009353216,0.00036540435,0.00043394938,0.0002659872,0.0006533036,0.00039131555,0.00012130086],"category_scores_gemma":[0.00044011447,0.00028517176,0.00020162546,0.000102838036,0.00046109868,0.00012895527,0.0005139701,0.0008491793,0.000019860729],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002448693,0.0005030723,0.13424245,0.0012853987,0.001981896,0.00014213401,0.0060276175,0.008286172,0.0000454263,0.28313115,0.006352729,0.55555326],"study_design_scores_gemma":[0.0049070255,0.00044867306,0.05446026,0.0010834546,0.00007803511,0.00009442123,0.0014883084,0.05398039,0.00017773909,0.18474303,0.6960476,0.0024910679],"about_ca_topic_score_codex":0.000067313085,"about_ca_topic_score_gemma":0.00009426866,"teacher_disagreement_score":0.6896949,"about_ca_system_score_codex":0.00054657465,"about_ca_system_score_gemma":0.000144034,"threshold_uncertainty_score":0.99996006},"labels":[],"label_agreement":null},{"id":"W3121516293","doi":"10.5089/9781484383445.001","title":"With Great Power Comes Great Responsibility: Macroprudential Tools at Work in Canada","year":2014,"lang":"en","type":"article","venue":"IMF Working Paper","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Macroprudential regulation; Great power; Power (physics); Economics; Business; Systemic risk; Macroeconomics; Political science; Engineering; Law; Financial crisis; Mechanical engineering","score_opus":0.018973572340904528,"score_gpt":0.18982328697434336,"score_spread":0.17084971463343884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121516293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8714122,0.00017256525,0.000055802015,0.0006435609,0.000773459,0.00015150786,0.000014210533,0.000030878877,0.1267458],"genre_scores_gemma":[0.9962146,0.000052714575,0.00031514402,0.0007882948,0.00011589648,0.000015570304,0.000011950409,0.0000521513,0.002433675],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99816763,0.00004525729,0.00058617815,0.0005822121,0.00005924991,0.0005594472],"domain_scores_gemma":[0.99882877,0.0002331237,0.00021110888,0.00059336436,0.000014022634,0.00011959181],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00067432993,0.00024398474,0.00053118943,0.00015083949,0.00011928827,0.00016666914,0.00027765185,0.00010591931,0.001419798],"category_scores_gemma":[0.000098857134,0.00025706127,0.00007722784,0.00030827228,0.00006572299,0.00019227111,0.0001287255,0.00021439887,0.00024172865],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038014335,0.0000155483,0.98520106,0.000007789402,0.000027504928,0.000022000575,0.00018473636,0.0002545421,0.000003462048,0.0017042543,0.0018212517,0.010377679],"study_design_scores_gemma":[0.0011084852,0.00004153182,0.5482015,0.00008459674,0.00000783732,0.000011938574,0.000051527146,0.00015689856,0.000022422926,0.0009593028,0.4487824,0.0005715224],"about_ca_topic_score_codex":0.15144573,"about_ca_topic_score_gemma":0.79287064,"teacher_disagreement_score":0.6414249,"about_ca_system_score_codex":0.001176501,"about_ca_system_score_gemma":0.00012282425,"threshold_uncertainty_score":0.99998814},"labels":[],"label_agreement":null},{"id":"W3121534316","doi":"10.24149/wp2024r1","title":"The Impact of the COVID-19 Pandemic on the Demand for Density: Evidence from the U.S. Housing Market","year":2020,"lang":"en","type":"article","venue":"Federal Reserve Bank of Dallas, Working Papers","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Supply and demand; Dispersion (optics); Demographic economics; Population; Economics; Aggregate demand; Business; Labour economics; Development economics; Microeconomics; Monetary economics; Demography; Infectious disease (medical specialty); Sociology","score_opus":0.12818219693537372,"score_gpt":0.2845896686004616,"score_spread":0.15640747166508787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121534316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96268356,0.0014351725,0.00014541327,0.024698794,0.00037412567,0.0007069649,0.00009587035,0.000027769906,0.009832346],"genre_scores_gemma":[0.99557793,0.0015181644,0.00006373569,0.0023820351,0.00026327252,0.00002244495,0.0000043346827,0.00003887575,0.00012922804],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981022,0.00019496749,0.0007374508,0.00043015578,0.00010607826,0.00042913557],"domain_scores_gemma":[0.9920208,0.006241537,0.0008259365,0.0007583621,0.000036596943,0.00011677928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002577272,0.0002465036,0.00046941472,0.00002961227,0.0010946074,0.0002970662,0.001263268,0.00012740868,0.00014676282],"category_scores_gemma":[0.0056202635,0.00012927441,0.00056650623,0.00025923527,0.00029314187,0.000087095956,0.00029397247,0.00034232,0.000008590394],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001040924,0.000021626189,0.9689554,0.000038282065,0.00032496074,8.4837933e-7,0.001338613,0.0039308197,0.00014665985,0.0020644283,0.019470664,0.0026667763],"study_design_scores_gemma":[0.0029275964,0.00069909956,0.7352984,0.00089644146,0.00013483594,0.000007384717,0.0015980985,0.040056065,0.00030856105,0.033632882,0.18323484,0.0012058275],"about_ca_topic_score_codex":0.002148704,"about_ca_topic_score_gemma":0.002355244,"teacher_disagreement_score":0.23365703,"about_ca_system_score_codex":0.0002650039,"about_ca_system_score_gemma":0.00017792796,"threshold_uncertainty_score":0.8418946},"labels":[],"label_agreement":null},{"id":"W3121536550","doi":"10.1111/jofi.12473","title":"Who Are the Value and Growth Investors?","year":2016,"lang":"en","type":"preprint","venue":"The Journal of Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Fondation HEC; Agence Nationale de la Recherche; Sveriges Riksbanken; Strong","keywords":"Value premium; Portfolio; Real estate; Economics; Human capital; Value (mathematics); Stock (firearms); Monetary economics; Leverage (statistics); Demographic economics; Labour economics; Financial economics; Capital asset pricing model; Finance; Geography","score_opus":0.030704272248201714,"score_gpt":0.20584257520359675,"score_spread":0.17513830295539504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121536550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9338262,0.016490193,0.0021266001,0.016876131,0.0024576406,0.00021549134,0.00009314744,0.00001107032,0.027903516],"genre_scores_gemma":[0.95781785,0.039744914,0.00018967433,0.000635451,0.00080366095,0.0000032104713,4.118073e-7,0.000035146964,0.00076968834],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99859107,0.00006517605,0.0008558513,0.00020043041,0.000042665768,0.00024479933],"domain_scores_gemma":[0.9966251,0.00023787441,0.0025114282,0.00050252903,0.00007107426,0.000051975512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025030891,0.00021902948,0.0006722974,0.00012333922,0.00018504777,0.00011427101,0.0008697847,0.00017648946,0.000018275738],"category_scores_gemma":[0.00027761539,0.00013075919,0.00018074391,0.00007108266,0.00024924736,0.00016797113,0.00038787213,0.000723496,0.000049337028],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043300004,0.00014267143,0.26627195,0.00048519118,0.00067351817,0.000039024057,0.0063425284,0.0016667586,0.000012844332,0.637445,0.07249637,0.013991202],"study_design_scores_gemma":[0.00057703845,0.000080448706,0.119622976,0.00072396017,0.000051121686,0.000108978624,0.000085798645,0.0008114803,0.00004345295,0.81581193,0.06165089,0.00043193554],"about_ca_topic_score_codex":0.00006443318,"about_ca_topic_score_gemma":0.000008365786,"teacher_disagreement_score":0.17836696,"about_ca_system_score_codex":0.000119398486,"about_ca_system_score_gemma":0.00007014843,"threshold_uncertainty_score":0.5332205},"labels":[],"label_agreement":null},{"id":"W3121564708","doi":"10.3390/jrfm14020047","title":"How Does COVID-19 Affect House Prices? A Cross-City Analysis","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); House price; Service (business); Affect (linguistics); Database transaction; Demographic economics; Transaction data; 2019-20 coronavirus outbreak; Economics; Outbreak; Business; Psychology; Econometrics; Economy; Medicine","score_opus":0.01808251051495987,"score_gpt":0.23861250069581083,"score_spread":0.22052999018085095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121564708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82965285,0.0016314005,0.16333582,0.0006998605,0.0007856189,0.00010725649,0.00008810113,0.000022893157,0.0036762054],"genre_scores_gemma":[0.98184603,0.013945304,0.0029828125,0.00035707554,0.0002746674,0.0000032730723,0.000003424191,0.000018128207,0.0005692675],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987028,0.000029074095,0.000629529,0.00032013896,0.000058081892,0.00026038045],"domain_scores_gemma":[0.99841964,0.00009010215,0.00096374465,0.00025764955,0.00005795239,0.00021089146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013221761,0.00016436906,0.00065176684,0.00054008694,0.0002320133,0.00051594025,0.000192299,0.00009429755,0.000105407504],"category_scores_gemma":[0.0005699163,0.00015208103,0.00039063513,0.0005945593,0.00006880346,0.00037051918,0.00013450632,0.00021054155,0.0000138069145],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013608219,0.0001748867,0.9397198,0.00013692334,0.0005212639,0.0002926059,0.000658289,0.00075897435,0.0000011264708,0.02353932,0.0009171594,0.03314356],"study_design_scores_gemma":[0.0014676872,0.000079226484,0.5091755,0.000013395022,0.00039339348,0.000017410573,0.00023336688,0.00040344216,0.000014683917,0.02872106,0.45914435,0.00033648306],"about_ca_topic_score_codex":0.00008110757,"about_ca_topic_score_gemma":0.00028264595,"teacher_disagreement_score":0.45822722,"about_ca_system_score_codex":0.0001596135,"about_ca_system_score_gemma":0.000046285215,"threshold_uncertainty_score":0.62016845},"labels":[],"label_agreement":null},{"id":"W3121665926","doi":"","title":"What drives housing prices down? Evidence from an international panel","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Overheating (electricity); Consumption (sociology); Per capita; Urbanization; Interest rate; Population growth; Real interest rate; Population; Monetary economics; Economic growth","score_opus":0.11189002881928276,"score_gpt":0.34135553730849755,"score_spread":0.2294655084892148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121665926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88889927,0.0012721082,0.000089344074,0.0006560214,0.0056350017,0.00062502205,0.0001896807,0.000098204095,0.10253535],"genre_scores_gemma":[0.8252032,0.16829094,0.0034714334,0.00024408805,0.0015553626,0.00010485411,0.00028559577,0.00016737686,0.00067717145],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99419385,0.00012782529,0.0019645856,0.002313509,0.00015098856,0.0012492125],"domain_scores_gemma":[0.99561375,0.0010111163,0.0009754795,0.0018867933,0.00012520693,0.00038764218],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005240252,0.00058803195,0.0011769192,0.0015989756,0.0002604537,0.0022257448,0.002344498,0.00093362527,0.0006944098],"category_scores_gemma":[0.00083565427,0.000792563,0.00033539665,0.00019748515,0.0004262291,0.0026980324,0.0019102689,0.0021537184,0.0002179833],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004833487,0.0006279152,0.46456864,0.00020376593,0.0005128373,0.00011776412,0.006520953,0.020489886,0.00005956667,0.003103195,0.00007284419,0.5032393],"study_design_scores_gemma":[0.0036825705,0.00050106103,0.44044244,0.004736875,0.00005794607,0.000028149994,0.011184094,0.22311172,0.0004622198,0.12662508,0.18238236,0.006785493],"about_ca_topic_score_codex":0.0012101434,"about_ca_topic_score_gemma":0.0029370752,"teacher_disagreement_score":0.4964538,"about_ca_system_score_codex":0.0022417784,"about_ca_system_score_gemma":0.00032785404,"threshold_uncertainty_score":0.99945253},"labels":[],"label_agreement":null},{"id":"W3121680354","doi":"10.15396/eres2007_249","title":"Size and Calender Anomalies: The Case of International Property Shares","year":2007,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate investment trust; Real estate; Market liquidity; Financial economics; Order (exchange); Maturity (psychological); Mainstream; Financial market; Asset (computer security); Economics; Share price; Business; Finance; Monetary economics; Stock exchange","score_opus":0.029975681888314763,"score_gpt":0.22341649977384742,"score_spread":0.19344081788553266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121680354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60304856,0.00016688406,0.0005850188,0.00067729276,0.00023257692,0.00007066049,0.000034157823,0.000011600125,0.39517325],"genre_scores_gemma":[0.9957418,0.00018582257,0.0006090153,0.00023259086,0.00006855864,0.0000019023703,0.0000013347343,0.00000782235,0.003151147],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99941564,0.0000030480019,0.00031138057,0.00014545271,0.00000800777,0.00011645781],"domain_scores_gemma":[0.9995865,0.00012379269,0.00010859335,0.00013377219,0.000016429794,0.000030890835],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00061197265,0.000060407263,0.0001239211,0.00005012294,0.000053916483,0.000034907618,0.000103980026,0.000038752733,0.0010375355],"category_scores_gemma":[0.00011134571,0.000039910752,0.00003423935,0.00004213047,0.00007163691,0.00011153536,0.00005913779,0.00004923872,0.000029965273],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001630648,0.00021022624,0.53537744,0.00008585791,0.0002628074,0.00021432119,0.0034782456,0.000033402703,0.00007170402,0.35356683,0.008283929,0.09825215],"study_design_scores_gemma":[0.002232429,0.00017181471,0.26551822,0.000029124589,0.000019925888,0.0012129646,0.0046397843,0.013402628,0.00069074566,0.040539183,0.6706072,0.0009359829],"about_ca_topic_score_codex":0.00079023646,"about_ca_topic_score_gemma":0.0005915557,"teacher_disagreement_score":0.6623233,"about_ca_system_score_codex":0.000024340901,"about_ca_system_score_gemma":0.000005865429,"threshold_uncertainty_score":0.99987566},"labels":[],"label_agreement":null},{"id":"W3121683644","doi":"","title":"Climate change and asset prices: hedonic estimates for North American ski resorts","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Snow; Asset (computer security); Climate change; Geography; Economics; Econometrics; Meteorology; Finance","score_opus":0.07755079197946542,"score_gpt":0.30305602725357456,"score_spread":0.22550523527410915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121683644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9259232,0.0010303059,0.0000184264,0.00051655073,0.00077138224,0.0021509912,0.0016913355,0.00010581925,0.06779193],"genre_scores_gemma":[0.76586187,0.22507581,0.0054954537,0.0002459002,0.0007254302,0.001573619,0.0005724935,0.0002674767,0.00018191704],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9946928,0.000058159392,0.0015583531,0.0019289714,0.000069520225,0.0016921676],"domain_scores_gemma":[0.99648714,0.00078024075,0.0010128447,0.001281601,0.00007965543,0.00035853594],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002365013,0.0006123515,0.0016805645,0.0011602665,0.00041118663,0.0004582079,0.00081566785,0.00042138636,0.00003151428],"category_scores_gemma":[0.0005533265,0.00080616813,0.0003112921,0.00025383674,0.0007036259,0.0003215366,0.001353044,0.0012541241,0.0000437568],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031158642,0.00031458825,0.6618753,0.0009292626,0.00023270518,0.000041422576,0.0013471467,0.0018597184,9.519096e-7,0.0044699255,0.00022745252,0.32838997],"study_design_scores_gemma":[0.0032070416,0.0008685918,0.5725123,0.0005568324,0.000049568764,0.000075209195,0.00063864014,0.18254575,0.000018960383,0.02209542,0.21341313,0.00401853],"about_ca_topic_score_codex":0.0005302813,"about_ca_topic_score_gemma":0.0020690795,"teacher_disagreement_score":0.32437143,"about_ca_system_score_codex":0.0010039652,"about_ca_system_score_gemma":0.00017689733,"threshold_uncertainty_score":0.99943894},"labels":[],"label_agreement":null},{"id":"W3121708851","doi":"10.1007/s11146-011-9300-9","title":"Government Interference and the Efficiency of the Land Market in China","year":2011,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"China; Lease; Government (linguistics); Agricultural economics; Business; Quarter (Canadian coin); Land use; Control (management); Natural resource economics; Finance; Economics; Geography","score_opus":0.01452742244955341,"score_gpt":0.17535011569579279,"score_spread":0.16082269324623938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121708851","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.938172,0.00030082715,0.00004435424,0.0003827778,0.00023456103,0.00010652041,0.000020698932,0.00000117184,0.06073708],"genre_scores_gemma":[0.9118175,0.08792916,0.000073997384,0.000044149052,0.000025320332,0.0000013872274,9.763221e-8,0.000008706438,0.000099673176],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989261,0.00004332423,0.0007250155,0.00011407557,0.000019131208,0.0001723527],"domain_scores_gemma":[0.99867,0.00013770782,0.00092397904,0.00023082756,0.000010782723,0.000026735805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002089865,0.00011486303,0.00038415438,0.00004019374,0.000087242806,0.00002763862,0.00037195845,0.00004360168,0.000022472335],"category_scores_gemma":[0.000050154802,0.00006707135,0.00007233942,0.00006501461,0.00035086268,0.00017966001,0.00013435156,0.00020617685,0.0000019967163],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031817663,0.00019811622,0.8603346,0.000095587784,0.0001295381,0.000004974437,0.02784733,0.0010098554,0.00000502244,0.044264957,0.00035202206,0.06257627],"study_design_scores_gemma":[0.0032634032,0.0002772626,0.93478596,0.000112050686,0.000036142115,0.000116903575,0.0009085916,0.01628896,0.00012314551,0.04012915,0.0036781025,0.0002802996],"about_ca_topic_score_codex":0.0008336504,"about_ca_topic_score_gemma":0.00041409893,"teacher_disagreement_score":0.087628335,"about_ca_system_score_codex":0.000059077007,"about_ca_system_score_gemma":0.000026668997,"threshold_uncertainty_score":0.27350903},"labels":[],"label_agreement":null},{"id":"W3121713325","doi":"","title":"The Effect of Default Rates on Retail Competition and Pricing Decisions of Competitive Retailers: The Case of Alberta","year":2017,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Competitor analysis; Market power; Competition (biology); Context (archaeology); Business; Product (mathematics); Industrial organization; Economics; Commerce; Microeconomics; Marketing; Monopoly","score_opus":0.04218402896844931,"score_gpt":0.3034515554486454,"score_spread":0.2612675264801961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121713325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8353581,0.00042133644,0.0000048797983,0.0003239466,0.00030760615,0.00077972887,0.0001582203,0.0000044610456,0.16264173],"genre_scores_gemma":[0.9808131,0.018584006,0.000077070465,0.000008636817,0.000059949733,0.00006771644,0.000022633514,0.000045874527,0.000321046],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969982,0.00032088862,0.001469315,0.0006861816,0.00005868507,0.00046673114],"domain_scores_gemma":[0.9870713,0.00943347,0.001647839,0.0016440504,0.000113955415,0.00008943201],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006410977,0.00030792705,0.0011873354,0.00042304423,0.00046263143,0.00015245333,0.0008945901,0.00034057384,0.0000370848],"category_scores_gemma":[0.0040907054,0.0002463673,0.00028485066,0.000093815135,0.0013524913,0.000107868895,0.0009080563,0.0010265827,0.000006773731],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031136062,0.0004185874,0.21824795,0.0018249818,0.0015016994,0.000120791155,0.00544318,0.018396279,0.0001153998,0.25377744,0.00012555916,0.49691454],"study_design_scores_gemma":[0.021311542,0.0105185695,0.17105614,0.016166935,0.0004891442,0.00071984396,0.020117229,0.4406345,0.014430998,0.2239468,0.07397842,0.0066298796],"about_ca_topic_score_codex":0.0020190899,"about_ca_topic_score_gemma":0.0046830596,"teacher_disagreement_score":0.49028465,"about_ca_system_score_codex":0.00028996274,"about_ca_system_score_gemma":0.00012912527,"threshold_uncertainty_score":0.99999887},"labels":[],"label_agreement":null},{"id":"W3121756914","doi":"10.1561/100.00012036","title":"The Political Economy of the Subprime Mortgage Credit Expansion","year":2013,"lang":"en","type":"article","venue":"Quarterly Journal of Political Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":97,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mortgage insurance; Collateralized mortgage obligation; Secondary mortgage market; Mortgage underwriting; Government (linguistics); Business; Financial system; Subprime mortgage crisis; Shared appreciation mortgage; Legislation; Economics; Finance; Financial crisis; Political science; Law","score_opus":0.016421854637156806,"score_gpt":0.22505473271762247,"score_spread":0.20863287808046566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121756914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85262835,0.00006805943,0.00051604543,0.015275646,0.0010915357,0.00013025136,0.000007485091,0.0000059599033,0.13027667],"genre_scores_gemma":[0.9988017,0.0000037748289,0.0001939728,0.00061236974,0.00030135814,0.000002482099,9.722891e-8,0.000009346836,0.00007490946],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99766,0.000035994173,0.0010592719,0.0001977311,0.00010369615,0.00094332214],"domain_scores_gemma":[0.9981221,0.0003017264,0.0005159742,0.000413814,0.00017514292,0.00047123161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017697999,0.00012036546,0.00032253814,0.00013109912,0.00033275844,0.00027194168,0.0010920587,0.000063095584,0.00015342324],"category_scores_gemma":[0.00036853296,0.000076751145,0.00021552017,0.00023031572,0.001371312,0.0007122246,0.000067515095,0.00027464522,0.00013668323],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044826834,0.000037135876,0.008153217,0.0000047904123,0.0000074547943,7.354696e-7,0.000115714305,0.0000012108054,0.00013537503,0.990092,0.00029277877,0.0011551353],"study_design_scores_gemma":[0.00027833824,0.0003056711,0.1076043,0.000020746314,0.0000072228436,0.00005390443,0.0010271007,0.0014909524,0.00072817405,0.8858144,0.002519006,0.00015012658],"about_ca_topic_score_codex":0.00033701013,"about_ca_topic_score_gemma":0.0000103367765,"teacher_disagreement_score":0.14617334,"about_ca_system_score_codex":0.00027381512,"about_ca_system_score_gemma":0.00024294562,"threshold_uncertainty_score":0.5052656},"labels":[],"label_agreement":null},{"id":"W3121768556","doi":"","title":"Assessing the Efficiency of an Insurance Provider - A Measurement Error Approach","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Heteroscedasticity; Actuarial science; Measure (data warehouse); Econometrics; Property insurance; Auto insurance risk selection; Economics; Insurance policy; Business; General insurance; Computer science; Data mining","score_opus":0.12118033632802072,"score_gpt":0.32304481766867915,"score_spread":0.20186448134065843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121768556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6353987,0.00056896324,0.00012113349,0.0001584264,0.0006999274,0.0010906504,0.00007421964,0.00003011648,0.3618579],"genre_scores_gemma":[0.9945369,0.002275648,0.0022327297,0.00007900322,0.00017009719,0.0002965309,0.000030715153,0.00011824754,0.0002601731],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9948088,0.00037850885,0.00198162,0.00155767,0.00018829573,0.0010850992],"domain_scores_gemma":[0.9962605,0.00023913552,0.0010857948,0.0020412335,0.00017751353,0.00019577595],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.012499131,0.00048118518,0.0012093629,0.0007105685,0.00031992406,0.0005740791,0.0015259759,0.00056579395,0.000075617216],"category_scores_gemma":[0.0009891022,0.00049571437,0.0003278279,0.00029886945,0.00058755575,0.00046436675,0.00067619287,0.0018620375,0.000020202264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047987554,0.0073232306,0.29081973,0.0047842283,0.0012222935,0.000047130838,0.010133885,0.19695114,0.00026448703,0.036692724,0.0003302796,0.450951],"study_design_scores_gemma":[0.007076106,0.0008533237,0.19737288,0.0014962675,0.00007324361,0.000084909654,0.010074941,0.5911595,0.00073935615,0.110523656,0.07388975,0.0066560195],"about_ca_topic_score_codex":0.00029203185,"about_ca_topic_score_gemma":0.00015515895,"teacher_disagreement_score":0.444295,"about_ca_system_score_codex":0.0015520286,"about_ca_system_score_gemma":0.00072397134,"threshold_uncertainty_score":0.9997494},"labels":[],"label_agreement":null},{"id":"W3121792113","doi":"10.2139/ssrn.1076751","title":"Housing Wealth and Retirement Timing","year":2007,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Australian Government; U.S. Social Security Administration","keywords":"Health and Retirement Study; Economics; Wealth effect; Control (management); Retirement age; House price; Labour economics; Demographic economics; Monetary economics; Finance; Pension; Monetary policy; Medicine","score_opus":0.037252961779771644,"score_gpt":0.25080427659018517,"score_spread":0.21355131481041353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121792113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83799905,0.026679317,0.04812626,0.001720114,0.0029534386,0.00041545677,0.000028142875,0.00010073353,0.08197747],"genre_scores_gemma":[0.92581236,0.071238376,0.0010515957,0.00020143112,0.0009285818,0.000003927062,0.000011731501,0.00008495632,0.000667032],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99577355,0.00002580815,0.0010331132,0.0005742717,0.000053550535,0.0025397066],"domain_scores_gemma":[0.99839187,0.000039366358,0.001034086,0.0003370557,0.00003372554,0.00016387961],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0062082033,0.0003297069,0.0006572906,0.0004798528,0.00032414723,0.00031485452,0.00034278823,0.00035186243,0.00006774222],"category_scores_gemma":[0.00007263147,0.00041204426,0.00019397108,0.000087898086,0.0000648318,0.00015034711,0.00033667128,0.0038617663,0.00007720161],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014926223,0.00015175622,0.06388537,0.0002627499,0.0007829312,0.000022748292,0.0011281852,0.000890163,0.0000069583793,0.7562738,0.00044623433,0.17599984],"study_design_scores_gemma":[0.00063482905,0.000130394,0.0014128636,0.0001275661,0.000035263194,0.00012779253,0.00048707757,0.0027613968,0.0000067965016,0.9810747,0.012484686,0.00071661465],"about_ca_topic_score_codex":0.00035205562,"about_ca_topic_score_gemma":0.00076676795,"teacher_disagreement_score":0.22480091,"about_ca_system_score_codex":0.0028864385,"about_ca_system_score_gemma":0.0008932213,"threshold_uncertainty_score":0.99983317},"labels":[],"label_agreement":null},{"id":"W3121800718","doi":"","title":"Bankruptcy and Investment: Evidence from Changes in Marital Property Laws in the U.S. South, 1840-1850","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Bankruptcy; Wife; Download; Investment (military); Insolvency; Economics; Law; Debt; Business; Labour economics; Political science; Finance","score_opus":0.028658113407296504,"score_gpt":0.20374637033464052,"score_spread":0.175088256927344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121800718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9821524,0.006201555,0.00024616814,0.0068972395,0.00017344559,0.0001774999,0.000023327302,0.00000950974,0.004118828],"genre_scores_gemma":[0.9797447,0.019005205,0.000051885487,0.0004253599,0.00020536676,0.0000147291075,0.00000119998,0.000019364445,0.000532234],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979918,0.00006368403,0.00042839392,0.00031136358,0.000037779235,0.0011669762],"domain_scores_gemma":[0.99937946,0.00013308646,0.00021792109,0.0002083245,0.000009635082,0.000051571886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002872848,0.00015257565,0.00028137382,0.00020681416,0.00009141477,0.00010191538,0.00034062535,0.00009192058,0.000082734834],"category_scores_gemma":[0.00018840985,0.00009231611,0.000049772905,0.00014026482,0.000074845164,0.00041402236,0.000060402086,0.0006497487,0.00009093851],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016816103,0.00012212618,0.80935496,0.000014319379,0.000076951415,0.000019336661,0.0051564067,0.000010116826,0.000107560736,0.11701173,0.00019051951,0.06776781],"study_design_scores_gemma":[0.0017348456,0.00026924707,0.07509987,0.00018260104,0.000009397194,0.00008955863,0.0014739841,0.0002470438,0.000023935787,0.912353,0.008078975,0.00043755822],"about_ca_topic_score_codex":0.00081535964,"about_ca_topic_score_gemma":0.020170618,"teacher_disagreement_score":0.79534125,"about_ca_system_score_codex":0.0006491102,"about_ca_system_score_gemma":0.00021181318,"threshold_uncertainty_score":0.99770874},"labels":[],"label_agreement":null},{"id":"W3121868481","doi":"","title":"Tennessee Housing Market Brief, 1st Quarter 2008","year":2008,"lang":"en","type":"article","venue":"Kenkyū kiyō - Tōyō Eiwa Jogakuin Tanki Daigaku","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economics; Business; Geography; Archaeology","score_opus":0.02516806550521473,"score_gpt":0.19144058919362356,"score_spread":0.16627252368840884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121868481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5350886,0.0015366557,0.0011873491,0.0014791804,0.0025265953,0.00050772616,0.00032708026,0.00043281895,0.456914],"genre_scores_gemma":[0.9854256,0.0022198027,0.0023910576,0.0012497584,0.0010249688,0.00005488064,0.00009731506,0.00021518357,0.007321437],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9952227,0.000074130076,0.0017126082,0.0014093315,0.00014522998,0.0014359857],"domain_scores_gemma":[0.99700874,0.00022856689,0.0008269595,0.001392489,0.0000981628,0.00044506902],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012127995,0.00072567817,0.0012968444,0.000616473,0.0008156812,0.0002872645,0.0008749104,0.00049948087,0.005837579],"category_scores_gemma":[0.00029210528,0.00090004015,0.0004894842,0.00068763044,0.00039855088,0.0010222784,0.00025207482,0.000629579,0.0035438484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028396616,0.00064694206,0.39372668,0.00018076839,0.000352842,0.0004212075,0.002224498,0.00019409813,0.00015070074,0.017755589,0.58001494,0.00404778],"study_design_scores_gemma":[0.0038714958,0.0002633698,0.123621956,0.00013977705,0.000058757178,0.0004234236,0.0003830075,0.007881991,0.0002565431,0.0151410205,0.8451435,0.0028151372],"about_ca_topic_score_codex":0.00061560364,"about_ca_topic_score_gemma":0.00021507355,"teacher_disagreement_score":0.45033702,"about_ca_system_score_codex":0.00043351963,"about_ca_system_score_gemma":0.00012106821,"threshold_uncertainty_score":0.999345},"labels":[],"label_agreement":null},{"id":"W3121900354","doi":"10.1016/j.chieco.2017.09.003","title":"Family structure and home ownership: Evidence from China","year":2017,"lang":"en","type":"article","venue":"China Economic Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"China; Brother; Boom; Surprise; Demographic economics; Economics; Labour economics; Business; Geography; Political science; Sociology","score_opus":0.04941793580278975,"score_gpt":0.25250075677195627,"score_spread":0.20308282096916652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121900354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8250397,0.13176344,0.00005964209,0.002994363,0.0013979626,0.0003939601,0.0003281891,0.00004738782,0.03797534],"genre_scores_gemma":[0.68668836,0.31192052,0.00037327633,0.0003299857,0.00033423907,0.000013296898,0.000024052444,0.000041391715,0.00027488038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977365,0.000028956845,0.00094748876,0.0008668569,0.000020597075,0.00039957342],"domain_scores_gemma":[0.99701476,0.00006757928,0.0011459985,0.0015636536,0.000007769475,0.00020026219],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008301549,0.0003573861,0.0011772552,0.00008671289,0.0004649182,0.0005575858,0.0009538943,0.00015487004,0.0014588193],"category_scores_gemma":[0.00026098086,0.00037482832,0.00021270668,0.000026602047,0.00018642259,0.0011953566,0.00030724547,0.0002826862,0.0011293433],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064989734,0.000051733863,0.7168492,0.002635448,0.00034607458,0.000021062273,0.0007164135,0.000049850016,0.00004554315,0.027664306,0.01951053,0.23204485],"study_design_scores_gemma":[0.0004921965,0.000036473248,0.86671096,0.0015652301,0.000045512585,0.000011542556,0.000006327972,0.0012087489,0.000013293837,0.0400066,0.08912613,0.0007769605],"about_ca_topic_score_codex":0.001542194,"about_ca_topic_score_gemma":0.00011473815,"teacher_disagreement_score":0.23126788,"about_ca_system_score_codex":0.00019570524,"about_ca_system_score_gemma":0.000043725846,"threshold_uncertainty_score":0.99987036},"labels":[],"label_agreement":null},{"id":"W3121923254","doi":"","title":"Questions About the Equivalence of Market Rents and User Costs for Owner Occupied Housing","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Economic rent; Renting; Real estate; Stock (firearms); Payment; Business; Cost approach; Public economics; Value (mathematics); Actuarial science; Economics; Finance; Real estate investment trust; Microeconomics; Geography; Engineering","score_opus":0.01790988800688639,"score_gpt":0.22904642796804286,"score_spread":0.21113653996115647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121923254","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95619917,0.0038445673,0.021714428,0.0023986434,0.00057241594,0.0005288831,0.000035884197,0.000022991446,0.014682992],"genre_scores_gemma":[0.9870952,0.009891176,0.00046000522,0.00012556146,0.00015130412,0.000019150224,0.0000018247093,0.000026443828,0.0022293834],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99824923,0.000025388672,0.00050259463,0.0001930909,0.000026874231,0.0010028194],"domain_scores_gemma":[0.99914736,0.000119617245,0.0004219032,0.00019271104,0.0000577974,0.000060635328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020195006,0.00012342438,0.00025509737,0.00011568786,0.00025983487,0.00013183596,0.00023481694,0.000072456685,0.00012910341],"category_scores_gemma":[0.00016144873,0.00009265423,0.00010291143,0.000086604094,0.000089752175,0.00034667656,0.00004490412,0.00045179253,0.000027966817],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016838538,0.00016592868,0.22087151,0.000067935194,0.00046957558,6.450538e-7,0.00038893954,0.00009665829,0.00011942357,0.6635893,0.007629874,0.10643186],"study_design_scores_gemma":[0.0020407473,0.000347063,0.07882936,0.00010925419,0.000055579425,0.00012227944,0.0009051522,0.008007274,0.000044068966,0.8626549,0.046288595,0.00059573015],"about_ca_topic_score_codex":0.0003016998,"about_ca_topic_score_gemma":0.00023036278,"teacher_disagreement_score":0.19906563,"about_ca_system_score_codex":0.0003784511,"about_ca_system_score_gemma":0.0001803968,"threshold_uncertainty_score":0.37783298},"labels":[],"label_agreement":null},{"id":"W3121991049","doi":"10.3905/jfi.2006.640275","title":"What Drives the Growth of Aggregate Residential Mortgage Debt in the U.S.?","year":2006,"lang":"en","type":"article","venue":"The Journal of Fixed Income","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Economics; House price; Debt; Variable (mathematics); Econometrics; Yield (engineering); Aggregate (composite); Monetary economics; Macroeconomics; Mathematics","score_opus":0.014818324991452171,"score_gpt":0.21047136915793171,"score_spread":0.19565304416647955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121991049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98420197,0.0019571192,0.00012146389,0.0036668638,0.0007305006,0.000103567414,0.0000057362554,0.0000031636594,0.009209632],"genre_scores_gemma":[0.9961096,0.0031444489,0.000061922416,0.00020459708,0.00031973852,0.0000013404816,7.685248e-7,0.00001435768,0.00014323244],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99849546,0.00013106536,0.001011824,0.00008802916,0.00006503491,0.00020860368],"domain_scores_gemma":[0.9980639,0.0004083846,0.0011400171,0.00032486554,0.000040917712,0.000021909382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003750208,0.00011451548,0.00034688023,0.0001929981,0.0001346141,0.00014711743,0.00086873426,0.000057749916,0.00007614753],"category_scores_gemma":[0.000114004804,0.00006477819,0.00016888672,0.00024113234,0.00016337061,0.00053357636,0.000065601176,0.00034332604,0.00002795729],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011705265,0.0007041657,0.707022,0.00017581176,0.00050157536,0.0001225755,0.022454415,0.005958839,0.0009438751,0.2401897,0.015443357,0.005313152],"study_design_scores_gemma":[0.0015749238,0.00020844283,0.65944904,0.0001916302,0.00005839637,0.00018430258,0.0020536785,0.0011305877,0.0008987557,0.3291547,0.004781209,0.0003143502],"about_ca_topic_score_codex":0.00055851566,"about_ca_topic_score_gemma":0.0003619941,"teacher_disagreement_score":0.08896499,"about_ca_system_score_codex":0.000056901637,"about_ca_system_score_gemma":0.00002775193,"threshold_uncertainty_score":0.2641578},"labels":[],"label_agreement":null},{"id":"W3122024529","doi":"","title":"Wealth Effects Out of Financial and Housing Wealth: Cross Country and Age Group Comparisons","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Microdata (statistics); National wealth; Wealth effect; Economics; Consumption (sociology); Life-cycle hypothesis; Wealth distribution; Sample (material); Wealth elasticity of demand; Demographic economics; Monetary economics; Finance; Inequality; Census; Macroeconomics; Monetary policy; Population; Demography","score_opus":0.04548683201294168,"score_gpt":0.31869893521261206,"score_spread":0.2732121031996704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122024529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9137801,0.0017546057,0.00009413748,0.0000799372,0.0015020879,0.0009273387,0.00029781027,0.00004069249,0.0815233],"genre_scores_gemma":[0.9570743,0.03992899,0.0019385366,0.00014910472,0.0003973768,0.00005920821,0.000094564726,0.00012052708,0.00023742905],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995218,0.0001255275,0.001862378,0.0014499628,0.00008755527,0.0012566219],"domain_scores_gemma":[0.9967676,0.0009493008,0.00094865955,0.00090791006,0.000051406874,0.00037514072],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00567313,0.00050737866,0.0018072225,0.0010703237,0.00032346704,0.0003746108,0.00053999043,0.0009537785,0.00002728526],"category_scores_gemma":[0.0006776591,0.000690204,0.000168165,0.00015680125,0.0009980818,0.00021448356,0.0013176574,0.0019785017,0.000011584437],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006413945,0.00053559773,0.81681615,0.004701362,0.00020323016,0.00011931267,0.0022149936,0.0018375671,0.000030150724,0.02547436,0.00030959144,0.1471163],"study_design_scores_gemma":[0.0053280257,0.00061890413,0.82383114,0.001391381,0.00003531289,0.000023509609,0.00045470867,0.028986959,0.00006525305,0.030077012,0.106566526,0.0026212607],"about_ca_topic_score_codex":0.001102887,"about_ca_topic_score_gemma":0.0039466172,"teacher_disagreement_score":0.14449504,"about_ca_system_score_codex":0.0009301661,"about_ca_system_score_gemma":0.00029249064,"threshold_uncertainty_score":0.99955493},"labels":[],"label_agreement":null},{"id":"W3122043004","doi":"10.3917/ecop.200.0141","title":"Logement social et accession à la propriété","year":2014,"lang":"fr","type":"article","venue":"Économie & prévision","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Mortgage and Housing Corporation","funders":"","keywords":"Accession; Political science; Humanities; Art; Business; European union; International trade","score_opus":0.028273423280030123,"score_gpt":0.25438317003422245,"score_spread":0.22610974675419232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122043004","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36607912,0.0018451272,0.012272405,0.029470047,0.0071077077,0.00060011394,0.000097670905,0.00013368866,0.5823941],"genre_scores_gemma":[0.9670857,0.003745268,0.004324026,0.0021174743,0.0016684409,0.000042480693,0.00008364818,0.00013638003,0.020796552],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99674517,0.00021657285,0.0012537065,0.0009889215,0.000041403968,0.0007542285],"domain_scores_gemma":[0.9980092,0.00032578825,0.00087169796,0.0005631649,0.000044074026,0.00018606514],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0032979106,0.00044045685,0.0008712757,0.00031199542,0.0004063927,0.00062997494,0.00053953694,0.00062303734,0.0020400612],"category_scores_gemma":[0.0002510922,0.0005760015,0.00035072642,0.00017912597,0.0002147128,0.0009216888,0.00045856333,0.00051709806,0.003744196],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010085461,0.00033540523,0.010176818,0.00017268107,0.000067599685,0.0000046340188,0.00062599505,0.00021042125,0.000020641219,0.33024356,0.023546275,0.63449514],"study_design_scores_gemma":[0.0015004461,0.00018332165,0.013140556,0.00014150329,0.000028170229,0.000006248352,0.00007997344,0.0228857,0.00008918504,0.0505558,0.9106701,0.00071901357],"about_ca_topic_score_codex":0.00033732693,"about_ca_topic_score_gemma":0.00012973508,"teacher_disagreement_score":0.8871238,"about_ca_system_score_codex":0.00065230735,"about_ca_system_score_gemma":0.00010798257,"threshold_uncertainty_score":0.99966913},"labels":[],"label_agreement":null},{"id":"W3122056447","doi":"10.3386/w19957","title":"Leverage and Beliefs: Personal Experience and Risk Taking in Margin Lending","year":2014,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Leverage (statistics); Margin (machine learning); Business; Psychology; Actuarial science; Monetary economics; Social psychology; Economics; Computer science; Artificial intelligence; Machine learning","score_opus":0.36666624222462263,"score_gpt":0.453290889831875,"score_spread":0.08662464760725236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122056447","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3809027,0.002582968,0.000022744185,0.00020081383,0.00049181184,0.00033415577,0.00020666175,0.000011216956,0.61524695],"genre_scores_gemma":[0.96434975,0.033237267,0.000251784,0.000013302833,0.0005373384,0.00005626127,0.000073152354,0.000054888664,0.0014262511],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970543,0.000088884284,0.0011820954,0.00093424675,0.00020627199,0.00053421163],"domain_scores_gemma":[0.9974428,0.000787295,0.0012327456,0.00023628355,0.00016889235,0.00013199668],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009271455,0.0002719456,0.0008753997,0.0015949955,0.00020911936,0.00018578087,0.00031559414,0.00042628188,0.00044495554],"category_scores_gemma":[0.0021676903,0.00035600358,0.00010781138,0.00014849316,0.0003829492,0.00032795977,0.00029942332,0.0008496148,0.00007514243],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008760798,0.00008441395,0.67634225,0.0005394647,0.00019171507,0.000008241575,0.0024843256,0.00028586757,0.00000803022,0.30167887,0.0038199476,0.014469267],"study_design_scores_gemma":[0.0028214022,0.0002572176,0.25789797,0.0007197633,0.000017111748,0.000109575245,0.0007121356,0.046792004,0.00003338732,0.5719969,0.116839625,0.0018028946],"about_ca_topic_score_codex":0.0072775413,"about_ca_topic_score_gemma":0.0008436341,"teacher_disagreement_score":0.6138207,"about_ca_system_score_codex":0.0014680808,"about_ca_system_score_gemma":0.0005009989,"threshold_uncertainty_score":0.9998892},"labels":[],"label_agreement":null},{"id":"W3122057749","doi":"10.1162/rest_a_00313","title":"Consumption Smoothing after the Final Mortgage Payment: Testing the Magnitude Hypothesis","year":2012,"lang":"en","type":"article","venue":"The Review of Economics and Statistics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Econometrics; Consumption smoothing; Magnitude (astronomy); Payment; Causality (physics); Consumption (sociology); Economics; Uncorrelated; Smoothing; Statistics; Macroeconomics; Finance; Business cycle; Mathematics","score_opus":0.11061872911759495,"score_gpt":0.24950549747878092,"score_spread":0.13888676836118596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122057749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6411826,0.30365324,0.005407537,0.0065769446,0.0014870631,0.0018609967,0.0017653819,0.0000402685,0.038025968],"genre_scores_gemma":[0.5743286,0.41494417,0.0073734876,0.0027643037,0.00027505113,0.00007449583,0.000012657895,0.000044082215,0.00018315435],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985961,0.00006270719,0.00082351477,0.00018647248,0.00001976765,0.00031144876],"domain_scores_gemma":[0.9977095,0.0010830454,0.0006587643,0.00045770945,0.000030906634,0.000060054972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028059082,0.00017712203,0.00042651166,0.00003486037,0.00028401424,0.00011775174,0.00030124796,0.000044330194,0.00021314071],"category_scores_gemma":[0.0004927015,0.00011092401,0.00008565719,0.00006273182,0.00023873638,0.00018361781,0.00012410728,0.00018713923,0.00012318105],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058867397,0.00012739624,0.10714987,0.0033943509,0.00029357875,0.0000013608505,0.0015543189,0.000159973,0.0000019023348,0.6042819,0.0037027455,0.27927378],"study_design_scores_gemma":[0.0009751751,0.00013923354,0.37693453,0.0018251068,0.00056858343,0.00012817528,0.00029062072,0.028704725,0.000015328234,0.15837924,0.43071166,0.0013276222],"about_ca_topic_score_codex":0.00007899437,"about_ca_topic_score_gemma":0.00002365786,"teacher_disagreement_score":0.44590265,"about_ca_system_score_codex":0.00005097661,"about_ca_system_score_gemma":0.000020028107,"threshold_uncertainty_score":0.45233497},"labels":[],"label_agreement":null},{"id":"W3122062055","doi":"","title":"The Effect of Noise Barriers on the Market Value of Adjacent Residential Properties","year":2002,"lang":"en","type":"preprint","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Neighbourhood (mathematics); Residential real estate; Value (mathematics); Market value; Sample (material); Event study; Business; Economics; Agricultural economics; Geography; Finance; Statistics; Mathematics","score_opus":0.015394085698010046,"score_gpt":0.18829478432359933,"score_spread":0.1729006986255893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122062055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9223396,0.005404413,0.00004572445,0.0011738442,0.0015133223,0.0012083384,0.0019084904,0.000030077597,0.06637619],"genre_scores_gemma":[0.98105466,0.014390265,0.000037859147,0.000014239622,0.00009006381,0.0000032644787,0.00005644869,0.000028174516,0.004325049],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975609,0.00025908198,0.0009217579,0.00079317496,0.00014985356,0.0003151931],"domain_scores_gemma":[0.9952254,0.00052515237,0.0019316716,0.0021116761,0.000069935515,0.0001361523],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013904005,0.0003637224,0.0009569034,0.0001682553,0.00055548176,0.00009801035,0.0015588135,0.0002527167,0.00016044204],"category_scores_gemma":[0.00034795757,0.00029283806,0.0002489322,0.00008416957,0.00094214553,0.00024105678,0.0016241212,0.00037154413,0.00000862624],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.015746197,0.00093956024,0.28721008,0.0067514824,0.011908395,0.00038976737,0.0031359976,0.0043776617,0.0005994481,0.027176946,0.61480397,0.02696053],"study_design_scores_gemma":[0.014762993,0.0033193268,0.09095911,0.004577183,0.003164868,0.00009583085,0.0033993386,0.04421971,0.009394811,0.008144484,0.8135298,0.004432552],"about_ca_topic_score_codex":0.011619507,"about_ca_topic_score_gemma":0.0012348305,"teacher_disagreement_score":0.19872586,"about_ca_system_score_codex":0.00024065012,"about_ca_system_score_gemma":0.00007750175,"threshold_uncertainty_score":0.9999524},"labels":[],"label_agreement":null},{"id":"W3122077060","doi":"","title":"Portfolio Choice in the Presence of Personal Illiquid Projects","year":2000,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Toronto","funders":"","keywords":"Complementarity (molecular biology); Portfolio; Market liquidity; Diversification (marketing strategy); Business; SAFER; Debt; Finance; Economics; Actuarial science; Marketing","score_opus":0.05793036177658008,"score_gpt":0.29470834041818145,"score_spread":0.23677797864160138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122077060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6204399,0.0003910696,0.0000011761707,0.00032997277,0.00034457227,0.00084641034,0.0001542297,0.000015918196,0.37747675],"genre_scores_gemma":[0.9785518,0.018877162,0.0002352076,0.00013599428,0.0003319883,0.00031930686,0.00006761785,0.000087508764,0.0013934305],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9952078,0.00024369844,0.0018721756,0.0013865411,0.00012948006,0.001160341],"domain_scores_gemma":[0.9967471,0.0009669664,0.0006778014,0.0014180038,0.000055322427,0.00013485755],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005787512,0.00044654935,0.0011856647,0.0013557883,0.00013232484,0.00021743716,0.0018014006,0.0006539896,0.0006297791],"category_scores_gemma":[0.0007990556,0.00048722175,0.00034548418,0.0003951659,0.00051385997,0.00024198319,0.00069948507,0.0022590356,0.00006473762],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00096195977,0.0021650991,0.71320105,0.0016928741,0.00040002374,0.00017667137,0.018261237,0.026882559,0.0000227154,0.014755084,0.0016276988,0.21985303],"study_design_scores_gemma":[0.0056542866,0.0008772197,0.3528273,0.0017295219,0.00003645408,0.0000911897,0.0059335097,0.16245556,0.000121279416,0.064227745,0.40142545,0.004620468],"about_ca_topic_score_codex":0.0017099861,"about_ca_topic_score_gemma":0.0014614748,"teacher_disagreement_score":0.39979777,"about_ca_system_score_codex":0.00081863115,"about_ca_system_score_gemma":0.000529721,"threshold_uncertainty_score":0.99975795},"labels":[],"label_agreement":null},{"id":"W3122089493","doi":"","title":"The Margin of Safety and Turning Points in House Prices: Observations from Three Developed Markets","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mean reversion; Economic rent; Economics; Margin (machine learning); Inflation (cosmology); Quarter (Canadian coin); Econometrics; Monetary economics; Financial economics; Geography; Market economy","score_opus":0.03925492656571003,"score_gpt":0.1984229388616825,"score_spread":0.15916801229597247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122089493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98377734,0.0025834183,0.004871052,0.00032202512,0.00018388544,0.00010097157,0.000010196063,0.000013073189,0.008138056],"genre_scores_gemma":[0.97766083,0.020526227,0.0015394792,0.00004131067,0.000053030322,0.000003062443,0.0000021921426,0.000030328978,0.00014354083],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981753,0.00002642244,0.0007149798,0.0001898159,0.000026120902,0.00086733775],"domain_scores_gemma":[0.999111,0.00015620927,0.00048479467,0.00017707242,0.000024366196,0.00004658799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029370051,0.000118614145,0.00027193225,0.00013043529,0.00021351903,0.000052554118,0.0002790463,0.000074760894,0.000051483625],"category_scores_gemma":[0.00018492113,0.00010995801,0.0000578314,0.00015660495,0.000060695413,0.0002686531,0.0000606119,0.0006647172,0.00001936456],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021957587,0.00003639131,0.7623911,0.000004323342,0.00011590129,0.0000012555754,0.0010035438,0.000007985903,0.000006068501,0.22364946,0.000014527826,0.012549878],"study_design_scores_gemma":[0.0005256557,0.000028840626,0.5616324,0.000014919585,0.000004834721,0.000010013263,0.0003501055,0.0006385189,0.0000050135827,0.43459883,0.002072692,0.0001181566],"about_ca_topic_score_codex":0.00052202085,"about_ca_topic_score_gemma":0.012288594,"teacher_disagreement_score":0.21094939,"about_ca_system_score_codex":0.00037883568,"about_ca_system_score_gemma":0.000298016,"threshold_uncertainty_score":0.68573236},"labels":[],"label_agreement":null},{"id":"W3122115774","doi":"","title":"The Housing Bubble and a New Approach to Accounting for Housing in a CPI","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of British Columbia","funders":"","keywords":"Economic rent; Renting; Economics; Inflation (cosmology); Price index; Index (typography); Boom; Hedonic regression; Equivalence (formal languages); Public economics; Actuarial science; Econometrics; Financial economics; Microeconomics; Engineering; Computer science","score_opus":0.035736488748597244,"score_gpt":0.21742413726535523,"score_spread":0.18168764851675798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122115774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92058116,0.003034093,0.061121706,0.0010808234,0.0002689424,0.000294687,0.0000023574287,0.000021769727,0.013594469],"genre_scores_gemma":[0.9906373,0.005463521,0.0025448562,0.00016733647,0.0004127323,0.00000893237,9.648677e-7,0.00004155606,0.00072278857],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975803,0.000012400147,0.00048934104,0.0002798982,0.000027624621,0.0016104244],"domain_scores_gemma":[0.9994207,0.000087271415,0.00023314935,0.00014904134,0.000017861514,0.00009198759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00284467,0.00013633641,0.0002770822,0.00020716371,0.0006557079,0.00022354395,0.00022245609,0.0000709084,0.0000030165709],"category_scores_gemma":[0.00017929159,0.0001339615,0.00008181394,0.00020270533,0.00003522851,0.00027470387,0.00005043293,0.00060568936,0.00001962314],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046836297,0.00018468205,0.2038768,0.000040015606,0.00024996442,0.000004791898,0.004503307,0.0039570676,0.00004470269,0.6072162,0.0018625385,0.17759159],"study_design_scores_gemma":[0.0037825399,0.00025543844,0.008592721,0.000052868778,0.000019854886,0.00068834185,0.00307664,0.028301388,0.00001882891,0.86606735,0.08814855,0.0009954926],"about_ca_topic_score_codex":0.0003440791,"about_ca_topic_score_gemma":0.0012131752,"teacher_disagreement_score":0.25885114,"about_ca_system_score_codex":0.00071713515,"about_ca_system_score_gemma":0.0005207357,"threshold_uncertainty_score":0.54627913},"labels":[],"label_agreement":null},{"id":"W3122174849","doi":"10.3386/w21587","title":"Housing Booms and Busts, Labor Market Opportunities, and College Attendance","year":2015,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Booth School of Business, University of Chicago; University of British Columbia; Einaudi Institute for Economics and Finance; University of Chicago","keywords":"Boom; Bust; Labour economics; Economics; Educational attainment; Demographic economics; Margin (machine learning); Human capital; Attendance; Wage; Economic growth","score_opus":0.3971130936735883,"score_gpt":0.41563798279047304,"score_spread":0.018524889116884713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122174849","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2526938,0.006785731,0.000017183334,0.0047277184,0.0008728435,0.00075209787,0.0028640581,0.0000397516,0.7312468],"genre_scores_gemma":[0.9797545,0.012345034,0.0012052623,0.00013078813,0.00060287834,0.00008218256,0.00023698286,0.00009288273,0.005549505],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971749,0.00010380145,0.0011177394,0.0009330684,0.00014405609,0.0005264265],"domain_scores_gemma":[0.9977968,0.000521336,0.0006176719,0.00043560567,0.00034412637,0.000284461],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0068042143,0.00031610546,0.00091620575,0.0010301284,0.00019536624,0.00024145625,0.00045552684,0.00048398846,0.00041856387],"category_scores_gemma":[0.00053854147,0.00042022468,0.00009539854,0.000112232,0.0006026357,0.00032390226,0.0010416796,0.0007611611,0.000060486578],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015583861,0.000071440845,0.019028287,0.00043012953,0.00019587661,0.000008924215,0.00024622123,0.0004224352,0.0000029852429,0.9110158,0.06653797,0.001884095],"study_design_scores_gemma":[0.0008520585,0.0000657519,0.003287955,0.00012171817,0.0000083079585,0.000013548039,0.00028178078,0.01716078,0.000008277248,0.9325396,0.04516344,0.0004968183],"about_ca_topic_score_codex":0.0010836557,"about_ca_topic_score_gemma":0.00025587014,"teacher_disagreement_score":0.7270607,"about_ca_system_score_codex":0.0010097878,"about_ca_system_score_gemma":0.0007792224,"threshold_uncertainty_score":0.99982494},"labels":[],"label_agreement":null},{"id":"W3122191773","doi":"","title":"Split Incentives and Energy Efficiency in Canadian Multi-Family Dwellings","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Incentive; Electricity; Public economics; Variety (cybernetics); Business; Efficient energy use; Economics; Single family; Natural resource economics; Environmental economics; Microeconomics; Finance; Engineering","score_opus":0.03347822787656978,"score_gpt":0.26449190879920154,"score_spread":0.23101368092263175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122191773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73139375,0.0008175991,0.000016533219,0.00026719557,0.00095309026,0.00032365782,0.00018206036,0.000025072592,0.26602104],"genre_scores_gemma":[0.95887566,0.03745094,0.0011786004,0.00017233207,0.0001913077,0.00013068954,0.000072613024,0.00011612582,0.0018117462],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.994983,0.00009350134,0.0014282629,0.0017194898,0.00005490192,0.0017208538],"domain_scores_gemma":[0.99762756,0.00028837347,0.00039035088,0.0010313711,0.000051760395,0.0006106091],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003908722,0.00048487645,0.0010880546,0.002468413,0.00022548842,0.0004226489,0.0009423495,0.0011011044,0.00013865306],"category_scores_gemma":[0.0004613947,0.0006803907,0.00017376977,0.00024822913,0.00051294477,0.00021578513,0.0008594843,0.0024502769,0.000054936158],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014473892,0.00058836717,0.6026259,0.00039539317,0.0001365413,0.00014704191,0.0027223546,0.008679199,0.000049231054,0.054505523,0.00006305626,0.32994267],"study_design_scores_gemma":[0.0026416697,0.000119107695,0.1991193,0.0003769847,0.00000810642,0.0000142104445,0.0007975064,0.40206245,0.00003543015,0.031279165,0.36092708,0.0026190046],"about_ca_topic_score_codex":0.18502651,"about_ca_topic_score_gemma":0.52759886,"teacher_disagreement_score":0.40350658,"about_ca_system_score_codex":0.0019697961,"about_ca_system_score_gemma":0.0008556461,"threshold_uncertainty_score":0.9998511},"labels":[],"label_agreement":null},{"id":"W3122223502","doi":"10.1111/jors.12010","title":"IMMIGRATION AND HOUSING BOOMS: EVIDENCE FROM SPAIN*","year":2012,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":280,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Immigration; Boom; Quarter (Canadian coin); Demographic economics; Economics; Population; Instrumental variable; Baby boom; Working population; Period (music); Geography; Labour economics; Demography; Econometrics; Sociology; Environmental science","score_opus":0.06731346811901348,"score_gpt":0.2500056372103386,"score_spread":0.1826921690913251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122223502","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889053,0.0036748715,0.0039355764,0.0013231558,0.00056694075,0.000027080814,0.000001884691,0.000004257783,0.0015609436],"genre_scores_gemma":[0.9932182,0.0017464593,0.0043483125,0.0001973377,0.000458193,3.1920038e-7,2.0901402e-7,0.0000052498012,0.000025750565],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991661,0.000009494307,0.00039594364,0.0001342535,0.000072788716,0.00022146068],"domain_scores_gemma":[0.9990224,0.00012237874,0.00054172234,0.000101837126,0.000046685294,0.00016495654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022007618,0.00006887977,0.0001832297,0.00019551127,0.00015290981,0.000121161145,0.00021021266,0.000034664794,0.00004251766],"category_scores_gemma":[0.00026151526,0.00006734187,0.000052748223,0.00019163163,0.00023488431,0.002126276,0.000044031298,0.00010332685,0.00003116804],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040678085,0.000047317233,0.9687748,0.000006908366,0.000013965151,0.000002747775,0.0017044375,0.00007236537,0.0014082908,0.013569653,0.0007677743,0.013591058],"study_design_scores_gemma":[0.00048259165,0.00014453432,0.92026687,0.00024762607,0.00001667816,0.00014519317,0.0006113513,0.005770483,0.00053333706,0.025905602,0.045437977,0.00043774373],"about_ca_topic_score_codex":0.00013453898,"about_ca_topic_score_gemma":0.0000131907045,"teacher_disagreement_score":0.04850792,"about_ca_system_score_codex":0.00013804219,"about_ca_system_score_gemma":0.00005167152,"threshold_uncertainty_score":0.27461216},"labels":[],"label_agreement":null},{"id":"W3122229845","doi":"","title":"Cornish-Fisher Expansion for Commercial Real Estate Value at Risk","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Value at risk; Normality; Real estate; Econometrics; Actuarial science; Solvency; Economics; Mathematics; Risk management; Statistics; Finance; Market liquidity","score_opus":0.03092537217165275,"score_gpt":0.23121385021203758,"score_spread":0.20028847804038483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122229845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9108234,0.0004205324,0.008452911,0.0005267643,0.0013483998,0.00022059421,0.00005888194,0.000043040385,0.078105465],"genre_scores_gemma":[0.96704894,0.028467946,0.0005862414,0.00012624732,0.00086481683,0.000014850787,0.000025640975,0.00007963798,0.0027856643],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99714977,0.000042759413,0.0006416511,0.00031985738,0.00004426006,0.0018016956],"domain_scores_gemma":[0.99884933,0.00007206712,0.0005788682,0.00023808425,0.000057667054,0.00020400107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040377635,0.00019528532,0.00040952908,0.00015246897,0.00036512344,0.00011820141,0.00028675402,0.00014052306,0.000051877265],"category_scores_gemma":[0.00017010367,0.00022115807,0.00020993565,0.00009289145,0.0000484202,0.00029998296,0.00006717906,0.00081174076,0.00031352096],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020785122,0.00037227455,0.3640363,0.00002909088,0.00060405844,0.000008567526,0.003066604,0.0022218884,0.000021773254,0.31562182,0.021122247,0.29081687],"study_design_scores_gemma":[0.004925188,0.0009314976,0.006632558,0.000011684594,0.00005230379,0.00017388219,0.0008914903,0.008228473,0.00002583692,0.7706504,0.2067464,0.0007303207],"about_ca_topic_score_codex":0.0008463522,"about_ca_topic_score_gemma":0.002362875,"teacher_disagreement_score":0.45502856,"about_ca_system_score_codex":0.0023381761,"about_ca_system_score_gemma":0.00059118407,"threshold_uncertainty_score":0.9018565},"labels":[],"label_agreement":null},{"id":"W3122241477","doi":"10.1023/a:1013990523388","title":"Rational Delays: The Case of Real Estate","year":2002,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Real estate; Capitalization rate; Option fee; Cost approach; Market liquidity; Business; Equity (law); Transaction cost; Database transaction; Real estate investment trust; Payment; Value (mathematics); Economics; Financial economics; Finance; Computer science","score_opus":0.031223180547614332,"score_gpt":0.20990178861717462,"score_spread":0.1786786080695603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122241477","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93169016,0.00021938904,0.00008912808,0.00095321354,0.00035109528,0.00010095276,0.00008294966,0.0000050554913,0.06650804],"genre_scores_gemma":[0.6929775,0.3063072,0.00030760266,0.00006209952,0.00013629778,0.000001667987,0.0000018725456,0.000019177498,0.00018662181],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99831414,0.00003847881,0.0011798862,0.00016716741,0.00001921644,0.00028108974],"domain_scores_gemma":[0.9978023,0.00028501012,0.0014728357,0.00031358996,0.000057547233,0.000068700145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015803844,0.00017890071,0.00049748924,0.00012181768,0.0002459612,0.00007334378,0.00032262027,0.00007897802,0.00008181558],"category_scores_gemma":[0.0000402519,0.0001373288,0.00014400233,0.00009934526,0.00025600684,0.00046563934,0.00006785973,0.0002616075,0.00004103529],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00090579165,0.00037556962,0.024457151,0.00013718926,0.00056507986,0.00038330533,0.027501898,0.056012567,0.000024972467,0.0893539,0.0073548565,0.79292774],"study_design_scores_gemma":[0.008092466,0.0022818234,0.033471566,0.00017184325,0.00036490514,0.017922193,0.0092022205,0.5078205,0.00031510676,0.078987546,0.33908558,0.0022842723],"about_ca_topic_score_codex":0.0013786487,"about_ca_topic_score_gemma":0.0007152309,"teacher_disagreement_score":0.79064345,"about_ca_system_score_codex":0.00008789926,"about_ca_system_score_gemma":0.000039133487,"threshold_uncertainty_score":0.56001055},"labels":[],"label_agreement":null},{"id":"W3122247972","doi":"10.1257/mac.2.2.125","title":"Housing Market Spillovers: Evidence from an Estimated DSGE Model","year":2010,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1397,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business cycle; Economics; Volatility (finance); Dynamic stochastic general equilibrium; Investment (military); Quarter (Canadian coin); Monetary economics; Consumption (sociology); Monetary policy; Labour economics; Macroeconomics; Financial economics","score_opus":0.03437677566435901,"score_gpt":0.2692119594492728,"score_spread":0.23483518378491378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122247972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96074766,0.00017814108,0.004871015,0.0011013796,0.0030937707,0.00023053533,0.00042329988,0.00015931284,0.029194897],"genre_scores_gemma":[0.9614782,0.0024195057,0.032999028,0.0012690541,0.001328255,0.000014834972,0.000031527077,0.00021044479,0.0002492041],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9954159,0.000053205767,0.0021084594,0.001242546,0.000042657623,0.0011372005],"domain_scores_gemma":[0.9951545,0.00030559112,0.002417531,0.0012487558,0.000050657432,0.00082298106],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0019031919,0.0006510831,0.0013970594,0.0005415909,0.00050741766,0.0011789735,0.0013806127,0.00025244016,0.0035356048],"category_scores_gemma":[0.00023882807,0.000859361,0.00043229203,0.00013310112,0.00064564263,0.0030766996,0.00024683934,0.0012774589,0.0019965644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010829781,0.00047028612,0.7365975,0.000034934903,0.00089478225,0.00008740196,0.0024459248,0.09640324,0.0013661388,0.023566652,0.0135376,0.123512566],"study_design_scores_gemma":[0.001319496,0.0002347337,0.019595996,0.000051480674,0.000055684322,0.00018446859,0.0004238471,0.9052658,0.00017937642,0.05652786,0.014429077,0.0017321935],"about_ca_topic_score_codex":0.0028013967,"about_ca_topic_score_gemma":0.0020058185,"teacher_disagreement_score":0.80886257,"about_ca_system_score_codex":0.0009778779,"about_ca_system_score_gemma":0.000364363,"threshold_uncertainty_score":0.9998579},"labels":[],"label_agreement":null},{"id":"W3122269937","doi":"","title":"The Moderating Role of Competition in the Relationship between Nonfinancial Measures and Future Financial Performance","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Profitability index; Competition (biology); Context (archaeology); Business; Customer satisfaction; Earnings; Marketing; Earnings management; Closure (psychology); Accounting; Economics; Finance","score_opus":0.013294547027766829,"score_gpt":0.18964494528035022,"score_spread":0.1763503982525834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122269937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98668575,0.0029883313,0.00077302294,0.0008037492,0.00010196154,0.000080470265,0.0000046818045,0.0000041070557,0.008557938],"genre_scores_gemma":[0.9967339,0.0022321527,0.000036733494,0.000016716276,0.00092656136,0.000004041942,0.0000034746438,0.000008650548,0.000037788028],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987185,0.00003940714,0.00047826205,0.000113783404,0.000038957467,0.00061111135],"domain_scores_gemma":[0.99941546,0.00015403751,0.00029827756,0.000100952624,0.000018690225,0.000012584489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030668715,0.000086752705,0.00016845675,0.00008290159,0.00050844543,0.0000849096,0.00017144399,0.00007450782,0.0000019311858],"category_scores_gemma":[0.00008064709,0.00006850718,0.000052255124,0.000121884215,0.00005260258,0.00017683914,0.000013418957,0.0008098646,0.0000043961804],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001301257,0.000008150959,0.43387526,0.0000022765403,0.000003129654,6.8594e-8,0.0001515984,0.00008310214,0.0000012525003,0.5554858,0.0000067670912,0.010369586],"study_design_scores_gemma":[0.00023269307,0.000045003286,0.51089084,0.0000061059377,0.0000030742594,0.00001441813,0.00031273198,0.000652819,0.000003202643,0.48478666,0.002984162,0.00006828671],"about_ca_topic_score_codex":0.00013880135,"about_ca_topic_score_gemma":0.0021316367,"teacher_disagreement_score":0.077015586,"about_ca_system_score_codex":0.00018110861,"about_ca_system_score_gemma":0.00020134593,"threshold_uncertainty_score":0.39106026},"labels":[],"label_agreement":null},{"id":"W3122353512","doi":"","title":"META-ANALYSIS OF AIRPORT NOISE AND HEDONIC PROPERTY VALUES : PROBLEMS AND PROSPECTS","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Decibel; Noise (video); Depreciation (economics); Statistics; Econometrics; Aircraft noise; Property value; Mathematics; Economics; Engineering; Computer science; Telecommunications; Noise reduction","score_opus":0.04095818464874358,"score_gpt":0.2133520675932271,"score_spread":0.17239388294448355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122353512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9651497,0.025151972,0.001855483,0.0011869057,0.00007487074,0.0002667529,0.000017262746,0.000021746797,0.006275318],"genre_scores_gemma":[0.9835724,0.015103803,0.00024777025,0.000047381236,0.000039836497,0.000008768837,0.0000029013363,0.000022724491,0.0009544092],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99796635,0.000015968159,0.0006938347,0.00034262845,0.00004195424,0.0009392597],"domain_scores_gemma":[0.99910325,0.000018123987,0.00054058095,0.00020833389,0.000038401,0.000091313035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002399475,0.00017997247,0.0009919341,0.0003283785,0.00014734636,0.00009036404,0.00014772058,0.00007960519,0.000057119672],"category_scores_gemma":[0.000036729045,0.00014018644,0.0003946763,0.00031612234,0.00009849921,0.000290053,0.00004914365,0.0005118791,0.000008887636],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009502703,0.00037633494,0.15202843,0.00010180913,0.1490803,0.0000062407767,0.0021649015,0.0044393684,0.00007795858,0.68777156,0.000020134035,0.0038379459],"study_design_scores_gemma":[0.0010421292,0.0004043642,0.0097883195,0.0000061680967,0.016607145,0.00014076995,0.00020250675,0.0011843118,0.0000385039,0.9692055,0.0009631019,0.00041716974],"about_ca_topic_score_codex":0.00038427147,"about_ca_topic_score_gemma":0.0011737993,"teacher_disagreement_score":0.28143397,"about_ca_system_score_codex":0.00034133947,"about_ca_system_score_gemma":0.00027731704,"threshold_uncertainty_score":0.57166374},"labels":[],"label_agreement":null},{"id":"W3122391463","doi":"10.2139/ssrn.3231596","title":"No Job, No Money, No Refi: Frictions to Refinancing in a Recession","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Monetary policy; Market liquidity; Great recession; Recession; Economics; Monetary economics; Exploit; Unemployment; Closing (real estate); Aggregate demand; Business; Labour economics; Finance; Macroeconomics","score_opus":0.014104784953057285,"score_gpt":0.2231294388226303,"score_spread":0.20902465386957303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122391463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6147278,0.0006512161,0.0032651196,0.00092361023,0.0027162065,0.00016661425,0.000010337412,0.000051173738,0.3774879],"genre_scores_gemma":[0.9721593,0.0071383114,0.0014867218,0.0004428718,0.002019787,0.00001530268,0.0000038672247,0.00006768778,0.016666139],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967231,0.000030259853,0.00082209293,0.00042315168,0.000044110267,0.0019572615],"domain_scores_gemma":[0.9990382,0.00003461834,0.00034247804,0.0003150945,0.00012502645,0.00014455603],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0026462914,0.00020138996,0.0003992182,0.00050390395,0.00037154878,0.00013069728,0.00035074938,0.00015919922,0.0003778529],"category_scores_gemma":[0.00041570768,0.0002304225,0.00012388104,0.00041018342,0.00003543213,0.00041652622,0.00008485763,0.0012300286,0.010597548],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016030812,0.000748109,0.28678805,0.00007402206,0.00039156908,0.0000262873,0.0024884245,0.0004438718,0.001524892,0.6081573,0.032223754,0.06553065],"study_design_scores_gemma":[0.0018217894,0.0014810313,0.010442808,0.0001683835,0.00001303163,0.00014364958,0.000265595,0.0050223703,0.000044396755,0.21068375,0.768938,0.0009752206],"about_ca_topic_score_codex":0.0006726131,"about_ca_topic_score_gemma":0.0026861525,"teacher_disagreement_score":0.73671424,"about_ca_system_score_codex":0.0021326414,"about_ca_system_score_gemma":0.0004432849,"threshold_uncertainty_score":0.9901728},"labels":[],"label_agreement":null},{"id":"W3122392404","doi":"","title":"Standing facilities and interbank borrowing: evidence from the Federal Reserve’s new discount window","year":2004,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Interbank lending market; Interest rate; Volatility (finance); Federal funds; Monetary economics; Business; Incentive; Economics; Overnight rate; Central bank; Finance; Reserve requirement; Monetary policy; Microeconomics","score_opus":0.07927241778530125,"score_gpt":0.2885320737774204,"score_spread":0.20925965599211915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122392404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9407215,0.0013703514,0.000085279025,0.003956013,0.0004144549,0.00036158934,0.00010856091,0.000034739096,0.052947477],"genre_scores_gemma":[0.9837695,0.013215242,0.0004954381,0.00017512438,0.00033199205,0.000033472912,0.000013048871,0.000048656893,0.0019175689],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973082,0.00007384219,0.0008683642,0.0008476722,0.00007279483,0.0008291306],"domain_scores_gemma":[0.99789697,0.00090731896,0.00019864431,0.00074833696,0.00002532493,0.00022341889],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024803744,0.00026543663,0.00053056475,0.00025301214,0.00045122454,0.0007317398,0.0006747612,0.00017364816,0.00023380009],"category_scores_gemma":[0.0010813648,0.00026518694,0.00013150965,0.00015542087,0.00038613493,0.0008575066,0.0004461034,0.00069739914,0.0000687945],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055458397,0.00013954795,0.86178994,0.000097561286,0.00021335593,0.00004099493,0.014741907,0.005119691,0.00013591765,0.038439788,0.00071857567,0.07800811],"study_design_scores_gemma":[0.00757594,0.0007239307,0.3155122,0.0016008335,0.000018603778,0.000046528592,0.02170063,0.01144143,0.0005216028,0.38372144,0.25430077,0.0028360907],"about_ca_topic_score_codex":0.007966338,"about_ca_topic_score_gemma":0.007914659,"teacher_disagreement_score":0.54627776,"about_ca_system_score_codex":0.0012574879,"about_ca_system_score_gemma":0.00024131808,"threshold_uncertainty_score":0.99998003},"labels":[],"label_agreement":null},{"id":"W3122397070","doi":"","title":"Creative Solutions Needed ! The Changing Appraisal Market","year":2007,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Business; Marketing; Value (mathematics); Market value; Finance; Computer science","score_opus":0.03676820040580112,"score_gpt":0.2401724783090673,"score_spread":0.20340427790326618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122397070","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05602054,0.0001225184,0.049760837,0.0012692508,0.0007126861,0.00011764323,0.000013947235,0.000071556125,0.89191103],"genre_scores_gemma":[0.9870856,0.000084999956,0.0009878858,0.0006463775,0.00030719826,0.000009089843,0.000005721988,0.000022852422,0.01085027],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988283,0.000009361879,0.00038822173,0.0002323268,0.000016737615,0.0005250429],"domain_scores_gemma":[0.9992541,0.0002457882,0.00014738474,0.00026859748,0.000015094981,0.00006903855],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022482881,0.0001160003,0.00019694102,0.00023220379,0.00037117072,0.00008839007,0.00020107845,0.00007189801,0.002674888],"category_scores_gemma":[0.00016592104,0.000104802304,0.000104454455,0.00028729366,0.00008139519,0.00016831169,0.00009133649,0.0001231207,0.0006875519],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067615685,0.00009931238,0.016758656,0.000012190291,0.000113588656,0.000004154619,0.004037513,0.00006660329,0.000009161362,0.9186884,0.04824813,0.0118946815],"study_design_scores_gemma":[0.001426429,0.00009278573,0.0687902,0.000021383026,0.00002374979,0.000028990225,0.018516712,0.042470735,0.0002105798,0.05526599,0.8119997,0.0011527977],"about_ca_topic_score_codex":0.00036350722,"about_ca_topic_score_gemma":0.00016398849,"teacher_disagreement_score":0.9310651,"about_ca_system_score_codex":0.00007970625,"about_ca_system_score_gemma":0.000010882788,"threshold_uncertainty_score":0.9982368},"labels":[],"label_agreement":null},{"id":"W3122409302","doi":"","title":"Rising Inequality of Housing? Evidence from Segmented Housing Price Indices","year":2003,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Heteroscedasticity; Price index; Econometrics; Economics; Norwegian; Quarter (Canadian coin); Index (typography); Order (exchange); Hedonic index; Set (abstract data type); Mathematics; Finance; Computer science","score_opus":0.050449809861365574,"score_gpt":0.2538571230772703,"score_spread":0.20340731321590474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122409302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9428434,0.008369289,0.004257735,0.00017252128,0.006887578,0.00077805546,0.0012208209,0.00022670935,0.035243902],"genre_scores_gemma":[0.9866373,0.0026933502,0.009168631,0.00031037457,0.0006415318,0.000050901373,0.00013189294,0.00019890221,0.00016712547],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9925525,0.00027188726,0.003709545,0.0022263275,0.00016286942,0.00107688],"domain_scores_gemma":[0.99115825,0.00089751655,0.0053439806,0.002050545,0.00016802747,0.00038171117],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0033599152,0.0010666559,0.0028355767,0.0010366526,0.00038402042,0.00047383228,0.0012548543,0.0012238019,0.0022271608],"category_scores_gemma":[0.0011155858,0.0014447992,0.0008055309,0.00042388303,0.00065172504,0.00088929397,0.00097066193,0.0015232707,0.0005280022],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007858576,0.00022899364,0.99407405,0.0004551121,0.0004918224,0.00001657273,0.0012363694,0.00069746433,0.00008627852,0.0007920984,0.0010681254,0.00077451224],"study_design_scores_gemma":[0.0066686864,0.00048682804,0.8550389,0.0097802,0.0009272422,0.00006500598,0.0018388551,0.015125552,0.004876972,0.066486485,0.026395656,0.0123096015],"about_ca_topic_score_codex":0.004112159,"about_ca_topic_score_gemma":0.0005958589,"teacher_disagreement_score":0.13903515,"about_ca_system_score_codex":0.001509346,"about_ca_system_score_gemma":0.000737043,"threshold_uncertainty_score":0.99880016},"labels":[],"label_agreement":null},{"id":"W3122440388","doi":"10.1111/joie.12046","title":"Price Dispersion in Mortgage Markets","year":2014,"lang":"en","type":"article","venue":"Journal of Industrial Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; HEC Montréal; Bank of Canada","funders":"","keywords":"Price dispersion; Leverage (statistics); Dispersion (optics); Economics; Monetary economics; Discounting; Search cost; Business; Financial economics; Microeconomics; Econometrics; Finance","score_opus":0.03989965944318654,"score_gpt":0.20661416116535927,"score_spread":0.16671450172217273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122440388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88312507,0.00009781315,0.00042735026,0.00074462977,0.0021646097,0.00010220207,0.000012490777,0.00000793847,0.113317885],"genre_scores_gemma":[0.9968612,0.0008396848,0.0005797056,0.00021480516,0.0012231669,0.0000016128542,0.0000023835335,0.00003586135,0.00024157566],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99764067,0.000047764457,0.001695305,0.0002511163,0.000023380382,0.00034175738],"domain_scores_gemma":[0.99789315,0.00018938056,0.0014586892,0.00026151157,0.000029193447,0.00016805214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033238977,0.0001834878,0.00074422965,0.0005466779,0.0000571644,0.00011589347,0.0003986958,0.0002782174,0.00053779327],"category_scores_gemma":[0.0006098837,0.00021494983,0.0002284937,0.00015406085,0.00004912143,0.00058312586,0.000068448266,0.00053122867,0.00019450349],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001679461,0.0007260422,0.6737056,0.00004853171,0.0002825351,0.000041756157,0.0009850695,0.011457694,0.0000381269,0.13705957,0.016931223,0.15704443],"study_design_scores_gemma":[0.011895041,0.0006285741,0.035700515,0.0001830816,0.000029682662,0.00013540304,0.0003329298,0.03205209,0.00018294348,0.052602895,0.86499715,0.0012596862],"about_ca_topic_score_codex":0.000043215197,"about_ca_topic_score_gemma":0.000026914522,"teacher_disagreement_score":0.8480659,"about_ca_system_score_codex":0.00044795388,"about_ca_system_score_gemma":0.000082557504,"threshold_uncertainty_score":0.87653995},"labels":[],"label_agreement":null},{"id":"W3122472221","doi":"","title":"Which House Price","year":2005,"lang":"en","type":"article","venue":"ERES eBooks","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"House price; Judgement; Price index; Index (typography); Econometrics; Economics; Composite index; Measure (data warehouse); Lag; Actuarial science; Computer science; Composite indicator; Data mining","score_opus":0.026820834887141674,"score_gpt":0.20464381255510963,"score_spread":0.17782297766796795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122472221","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21038678,0.000114007,0.0003582847,0.000390934,0.00026966742,0.0000789533,0.0000100264315,0.00014533811,0.788246],"genre_scores_gemma":[0.9845992,0.00003427919,0.0014201719,0.00036423572,0.00043550454,0.000010539738,0.0000018129813,0.000049439004,0.013084833],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99901825,0.000006450437,0.00037382095,0.00028708155,0.000015408412,0.00029898714],"domain_scores_gemma":[0.9993908,0.000029793764,0.00014796089,0.00033012856,0.000015403637,0.000085919855],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003134383,0.000120754084,0.00022797789,0.00011955554,0.000098961675,0.000093078175,0.00020545092,0.00008756235,0.00045212146],"category_scores_gemma":[0.000051289546,0.00014963883,0.00006697038,0.000044889344,0.00002744925,0.00011559942,0.000056258767,0.00012338892,0.0036900644],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009587414,0.00020547271,0.059452716,0.00006547917,0.00016315322,0.0000064681362,0.0038651668,0.00061614986,0.00011530894,0.7763726,0.047117196,0.11192441],"study_design_scores_gemma":[0.0003996318,0.000024766685,0.0038679456,0.0000059826316,0.0000027088531,0.000004578928,0.000022058064,0.0019220469,0.00024363546,0.012178519,0.9810326,0.0002955336],"about_ca_topic_score_codex":0.00006658182,"about_ca_topic_score_gemma":0.00040151709,"teacher_disagreement_score":0.9339154,"about_ca_system_score_codex":0.00008698054,"about_ca_system_score_gemma":0.000018020077,"threshold_uncertainty_score":0.9970857},"labels":[],"label_agreement":null},{"id":"W3122504801","doi":"","title":"Towards a Methodology to Determine the Size of the Commercial Real Estate Market","year":2007,"lang":"en","type":"article","venue":"14th Annual European Real Estate Society Conference","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Comparability; Economic rent; Proxy (statistics); Business; Capitalization rate; Market value; Cost approach; Value (mathematics); Finance; Economics; Real estate development; Real estate investment trust; Statistics; Microeconomics; Mathematics","score_opus":0.071977037551777,"score_gpt":0.27320214035755835,"score_spread":0.20122510280578135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122504801","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45791128,0.0000054746856,0.0024408526,0.001030201,0.00057680067,0.00026900935,0.00030895945,0.00004381951,0.5374136],"genre_scores_gemma":[0.9829499,0.0068790005,0.0069317264,0.0010456092,0.00027769266,0.000006221798,0.000010029118,0.00007452251,0.0018252925],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9973264,0.0003252527,0.0010316836,0.00053110125,0.0000830983,0.0007024853],"domain_scores_gemma":[0.9973597,0.000950629,0.0006022914,0.0007260732,0.00015223985,0.00020906974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059758285,0.00030479126,0.00058062014,0.000048410835,0.00029684952,0.000092367525,0.0010597592,0.00010652773,0.00020976424],"category_scores_gemma":[0.00069971575,0.00024111944,0.00038346264,0.0003476959,0.00045844453,0.00016140417,0.0005262613,0.00040898734,0.00010496534],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005169866,0.00016533861,0.01996072,0.00010371107,0.00020317666,0.000028652496,0.06352633,0.00017405413,0.00019252604,0.008686304,0.013479213,0.892963],"study_design_scores_gemma":[0.0014486895,0.00042187225,0.72895986,0.000051977506,0.000055511733,0.000024008792,0.007491574,0.0028210264,0.00025314392,0.0020457015,0.25545797,0.00096866244],"about_ca_topic_score_codex":0.0040335874,"about_ca_topic_score_gemma":0.0011277356,"teacher_disagreement_score":0.8919943,"about_ca_system_score_codex":0.000110187444,"about_ca_system_score_gemma":0.00012051801,"threshold_uncertainty_score":0.9832566},"labels":[],"label_agreement":null},{"id":"W3122515024","doi":"","title":"Imputing Rent in Consumption Measures, with an Application to Consumption Poverty in Canada 1997-2009","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Poverty; Imputation (statistics); Consumption (sociology); Economics; Renting; Econometrics; Inequality; Demographic economics; Labour economics; Missing data; Statistics; Economic growth; Mathematics","score_opus":0.05009566710356461,"score_gpt":0.2774500902257113,"score_spread":0.2273544231221467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122515024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98292726,0.00028576038,0.000087541965,0.0002757294,0.00047445105,0.0014838764,0.00029608855,0.000028553492,0.014140745],"genre_scores_gemma":[0.9922598,0.005750025,0.0008333481,0.00020250514,0.0001700972,0.00038532226,0.00024002984,0.00009582482,0.00006305646],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99530536,0.0001864757,0.0016402209,0.0014631011,0.000117933494,0.0012868877],"domain_scores_gemma":[0.99755704,0.0002665593,0.00056754245,0.0011730042,0.000054183623,0.00038164365],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004530198,0.00044357282,0.0009999993,0.0012462173,0.00011228823,0.00017682501,0.00067803834,0.00044946067,0.00010201074],"category_scores_gemma":[0.00023298028,0.0005747936,0.00007688475,0.00023798512,0.000095154835,0.00031311656,0.00047588543,0.0015756211,0.00008215965],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031366997,0.0001829565,0.85738134,0.00018323559,0.000031715746,0.000011185417,0.00048090104,0.040191285,0.000010406814,0.0007898793,0.000050050843,0.10037334],"study_design_scores_gemma":[0.002730211,0.00014596577,0.84606874,0.0005763653,0.0000099284425,0.000018494506,0.0005293528,0.1223675,0.000054946508,0.0039392067,0.021545732,0.002013529],"about_ca_topic_score_codex":0.41011,"about_ca_topic_score_gemma":0.93652564,"teacher_disagreement_score":0.52641565,"about_ca_system_score_codex":0.010980666,"about_ca_system_score_gemma":0.0011406083,"threshold_uncertainty_score":0.9996703},"labels":[],"label_agreement":null},{"id":"W3122515428","doi":"10.2139/ssrn.3249858","title":"Do Household Finances Constrain Unconventional Fiscal Policy?","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Fiscal policy; Economics; Economic policy; Monetary economics","score_opus":0.024414835330439814,"score_gpt":0.22761152137911334,"score_spread":0.20319668604867352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122515428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7657113,0.0023792326,0.011337461,0.0031626634,0.0015763569,0.00014250274,0.00008660952,0.00007768405,0.21552616],"genre_scores_gemma":[0.9912184,0.003597093,0.00021994431,0.00026052658,0.002119054,0.0000038979797,0.0000056670588,0.00003516619,0.0025402596],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970524,0.000023245853,0.0006302489,0.0003314631,0.000047207133,0.0019154558],"domain_scores_gemma":[0.9992119,0.00003652161,0.00040116903,0.00021151827,0.000028352704,0.000110525754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021934307,0.00018570824,0.00033031366,0.00031795914,0.00034912096,0.00018334777,0.00035598569,0.00012844625,0.00042015532],"category_scores_gemma":[0.00011447987,0.00021021315,0.00020951276,0.0002277757,0.00024760852,0.0003235866,0.00004858025,0.00087256765,0.00064902456],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035301535,0.00005200285,0.033131413,0.0000033219458,0.00009033096,0.0000018128708,0.00008544649,0.00001671604,0.0000055565397,0.9528338,0.0008915063,0.012852814],"study_design_scores_gemma":[0.0007937536,0.00024897847,0.0044976342,0.000012963376,0.000006095886,0.00028744832,0.00021870126,0.00024606055,0.00001836418,0.93328875,0.060084995,0.00029627702],"about_ca_topic_score_codex":0.00013980648,"about_ca_topic_score_gemma":0.00043295574,"teacher_disagreement_score":0.22550707,"about_ca_system_score_codex":0.00092786783,"about_ca_system_score_gemma":0.0008007108,"threshold_uncertainty_score":0.85722435},"labels":[],"label_agreement":null},{"id":"W3122519401","doi":"10.1111/j.1540-6229.2008.00214.x","title":"Global Financial Integration and Real Estate Security Returns","year":2008,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Real estate; Real estate investment trust; Financial integration; Openness to experience; Economics; Capitalization rate; Globalization; Finance; Rate of return; Financial economics; Business; Financial market; Monetary economics; Market economy","score_opus":0.020040171371993407,"score_gpt":0.20943701230296607,"score_spread":0.18939684093097267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122519401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68249494,0.000015294732,0.000109001434,0.00017968612,0.0005394039,0.00015351574,0.00034394593,0.00007551363,0.3160887],"genre_scores_gemma":[0.8460601,0.1524405,0.0008343063,0.000087595836,0.00025754859,0.000014051873,0.00010869857,0.00004080684,0.00015640631],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99773896,0.00002418866,0.0009546028,0.0007145725,0.000021007667,0.00054668117],"domain_scores_gemma":[0.99876225,0.00005905808,0.0004930533,0.00040306555,0.00003263661,0.00024993013],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00051826745,0.0003299294,0.0006512023,0.00014827987,0.0002862337,0.0001353602,0.00022826051,0.0002443619,0.00007361097],"category_scores_gemma":[0.00008269073,0.00042915804,0.00014682206,0.00014802528,0.00022360466,0.00065176014,0.00011860288,0.00020286966,0.00022666658],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006117189,0.0003481089,0.5266534,0.00011989505,0.0001574854,0.00012019009,0.012212941,0.0012444874,0.000009296304,0.19151416,0.0046687336,0.26233956],"study_design_scores_gemma":[0.004900722,0.00064798456,0.5294393,0.00004879552,0.000053617554,0.00049336615,0.00091316,0.103491135,0.00009199647,0.17661336,0.17999683,0.0033097588],"about_ca_topic_score_codex":0.007882017,"about_ca_topic_score_gemma":0.006905566,"teacher_disagreement_score":0.3159323,"about_ca_system_score_codex":0.0005462546,"about_ca_system_score_gemma":0.00013923286,"threshold_uncertainty_score":0.999816},"labels":[],"label_agreement":null},{"id":"W3122583977","doi":"10.2139/ssrn.3568770","title":"Government's Real Estate Interventions and the Stock Market","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ontario Institute of Technology; McMaster University","funders":"","keywords":"Business; Real estate; Stock market; Government (linguistics); Finance; Stock (firearms); Financial system; Financial economics; Economics; Geography","score_opus":0.019645628885192376,"score_gpt":0.21181068436594283,"score_spread":0.19216505548075047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122583977","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46347782,0.00361983,0.014968581,0.023356535,0.00053635606,0.00036119187,0.000055311026,0.000054957778,0.49356943],"genre_scores_gemma":[0.91755724,0.080293655,0.00006818914,0.00025282518,0.00021802912,0.0000053386475,0.0000012185907,0.000022153137,0.0015813805],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984492,0.000038499682,0.00045721943,0.00019017105,0.00003273778,0.0008321883],"domain_scores_gemma":[0.9994203,0.000057943314,0.00031178066,0.00011306774,0.000008602808,0.000088311965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021073984,0.00010957696,0.00025262075,0.000027193595,0.00021264469,0.00015123004,0.0002184446,0.000040491752,0.00020588927],"category_scores_gemma":[0.00011409045,0.000096449,0.00018814564,0.00007634913,0.00008277028,0.00019062459,0.000072923074,0.0007596928,0.00006491051],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005911976,0.00005463731,0.024187589,0.00003381097,0.00037798367,0.000003571265,0.0011798495,0.000040433508,0.0000024774117,0.83758795,0.002481211,0.13345931],"study_design_scores_gemma":[0.008318013,0.0006574221,0.010650222,0.000034550463,0.000103201426,0.00027986366,0.004060641,0.025461124,0.0000037849063,0.82961786,0.1200776,0.00073570723],"about_ca_topic_score_codex":0.000102694095,"about_ca_topic_score_gemma":0.0003842364,"teacher_disagreement_score":0.49198803,"about_ca_system_score_codex":0.00038274555,"about_ca_system_score_gemma":0.000095566276,"threshold_uncertainty_score":0.3933076},"labels":[],"label_agreement":null},{"id":"W3122608726","doi":"10.1111/j.1936-4490.2002.tb00278.x","title":"Does the Lender Matter? Lender Type and Home Office Location and Real Estate Development Lending","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Real estate; Loan; Metropolitan area; Business; Finance; Capital (architecture); Foreclosure; Capital market; Financial system; Economics; Monetary economics","score_opus":0.11409805118605687,"score_gpt":0.26674191625474314,"score_spread":0.15264386506868627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122608726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9711668,0.00025363333,0.00029525103,0.0017179674,0.0005172074,0.000105266554,0.000016999596,0.0000042741535,0.025922613],"genre_scores_gemma":[0.99648976,0.0005345985,0.0024406717,0.00012847125,0.0000935332,0.0000027443814,0.0000016084094,0.000008176698,0.0003004311],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984123,0.00005129591,0.0006001714,0.00036067562,0.00004699514,0.00052857504],"domain_scores_gemma":[0.9985812,0.00012658905,0.000515715,0.00010807982,0.00013300838,0.0005354516],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0020271002,0.000164025,0.00023916626,0.00035611968,0.001484478,0.00065368466,0.0003611404,0.00006742755,0.00018588753],"category_scores_gemma":[0.00025193975,0.00012462519,0.000029011155,0.0006457902,0.0023080932,0.0008768268,0.000015905589,0.0001527674,0.000013736003],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006115182,0.00007120257,0.7624475,0.00023539421,0.000104589104,0.00017358104,0.10392239,0.0006909337,0.00011275517,0.09470031,0.0008104811,0.036669713],"study_design_scores_gemma":[0.00089548784,0.0037025406,0.8625063,0.00038954034,0.00006131813,0.0026761496,0.04717829,0.018478459,0.00042063318,0.035131928,0.026900085,0.001659276],"about_ca_topic_score_codex":0.004736673,"about_ca_topic_score_gemma":0.25553212,"teacher_disagreement_score":0.25079542,"about_ca_system_score_codex":0.00046741214,"about_ca_system_score_gemma":0.0012130854,"threshold_uncertainty_score":0.99981546},"labels":[],"label_agreement":null},{"id":"W3122627883","doi":"10.2139/ssrn.1205678","title":"Testing Cost Inefficiency under Free Entry in the Real Estate Brokerage Industry","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Inefficiency; Business; Real estate; Free entry; Finance; Real estate investment trust; Free cash flow; Industrial organization; Economics; Microeconomics","score_opus":0.02033699239560009,"score_gpt":0.22122967269505933,"score_spread":0.20089268029945925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122627883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8270275,0.00008501602,0.0003941168,0.0009366181,0.00046481506,0.00011162065,0.0000073586275,0.00001768711,0.17095526],"genre_scores_gemma":[0.9964792,0.0023326054,0.00014520597,0.0001910871,0.00049154734,0.0000066528087,0.0000027584128,0.00002824866,0.00032271002],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973467,0.00003350057,0.00059121416,0.00025878244,0.000046237285,0.0017235922],"domain_scores_gemma":[0.99904233,0.00015831945,0.00034258884,0.00036339305,0.000022756207,0.000070629314],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0041646543,0.00016286164,0.00023813118,0.00021195038,0.0002517534,0.00020811163,0.00071269326,0.00023038295,0.00008626914],"category_scores_gemma":[0.00035436286,0.0001517047,0.00007853218,0.0003338534,0.000068122885,0.0002650529,0.00006612154,0.0051737535,0.0000850821],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036467594,0.00024178313,0.44898826,0.000007637319,0.000052418283,0.000017163851,0.0009850541,0.0010349269,0.00010166185,0.47097582,0.00030935323,0.07724945],"study_design_scores_gemma":[0.0022291553,0.00021734489,0.14228642,0.000020074065,0.000012887598,0.00059716974,0.0032586122,0.0049303044,0.0000128162665,0.8347311,0.011051995,0.0006521117],"about_ca_topic_score_codex":0.00088643865,"about_ca_topic_score_gemma":0.007813536,"teacher_disagreement_score":0.3637553,"about_ca_system_score_codex":0.00046436675,"about_ca_system_score_gemma":0.0005665898,"threshold_uncertainty_score":0.99712133},"labels":[],"label_agreement":null},{"id":"W3122705693","doi":"10.1093/restud/rdad048","title":"Income Growth and the Distributional Effects of Urban Spatial Sorting","year":2023,"lang":"en","type":"article","venue":"The Review of Economic Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economics; Downtown; Gentrification; Amenity; Economic rent; Inequality; Economic geography; Income distribution; Distribution (mathematics); Spatial inequality; Economic inequality; Neighbourhood (mathematics); Labour economics; Geography; Economic growth; Microeconomics","score_opus":0.02622699659632642,"score_gpt":0.25494049034702027,"score_spread":0.22871349375069383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122705693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65618086,0.3230154,0.0000691894,0.0049482686,0.0011992493,0.0009931236,0.00012457948,0.00004043087,0.013428919],"genre_scores_gemma":[0.7586076,0.24111985,0.000011731955,0.000082977924,0.00009957165,0.000030315128,0.000004692332,0.000008978138,0.000034276964],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99871266,0.000045951496,0.0008719716,0.00018313059,0.000016930959,0.00016937239],"domain_scores_gemma":[0.9979081,0.0010391881,0.0007598149,0.0002548031,0.000018501869,0.000019583164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019459433,0.00012449663,0.00085924985,0.000055223874,0.00013556237,0.000010913121,0.0002231896,0.000025658155,0.000019910423],"category_scores_gemma":[0.0008530957,0.000083835075,0.00017510225,0.00009663911,0.00045707411,0.00006357732,0.0002367314,0.00007340648,0.00007665643],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007173525,0.000022833548,0.13649057,0.013163649,0.0009774852,6.852162e-7,0.0010839596,0.000019250221,0.000002264194,0.8394531,0.0032960377,0.005418399],"study_design_scores_gemma":[0.007901274,0.00032649885,0.4125402,0.010582184,0.00061809225,0.000014391764,0.0007433465,0.0047691204,0.0004468044,0.5467135,0.013982941,0.0013616668],"about_ca_topic_score_codex":0.0001063326,"about_ca_topic_score_gemma":0.000007790955,"teacher_disagreement_score":0.29273966,"about_ca_system_score_codex":0.000046194753,"about_ca_system_score_gemma":0.000015454189,"threshold_uncertainty_score":0.3418695},"labels":[],"label_agreement":null},{"id":"W3122757224","doi":"10.2139/ssrn.1032098","title":"Earnings-Tenure Profiles: Tests of Agency and Human Capital Theories Using Individual Performance Data","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Earnings; Human capital; Agency (philosophy); Business; Labour economics; Human capital theory; Accounting; Economics; Demographic economics; Sociology; Economic growth; Social science","score_opus":0.030750463290813962,"score_gpt":0.2492249733534351,"score_spread":0.21847451006262114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122757224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924369,0.002018826,0.0013261567,0.00003029132,0.00017299088,0.00008273467,0.000034897857,0.000012912053,0.0038843274],"genre_scores_gemma":[0.9972003,0.0019063677,0.00040176447,0.000013923719,0.00025474263,4.8817884e-7,0.000023449626,0.00002815026,0.00017079928],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99781823,0.000014192656,0.00063263864,0.00028365623,0.000048070084,0.0012032075],"domain_scores_gemma":[0.99897116,0.000038795308,0.00059326226,0.00029570833,0.000030614294,0.0000704717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048259515,0.00015173535,0.00030963199,0.00023389654,0.00031414628,0.000079697325,0.0003916721,0.00010117655,0.000045076602],"category_scores_gemma":[0.00009594965,0.00016720539,0.000048346294,0.00013236726,0.00012990717,0.0005958577,0.00016061847,0.00085130497,0.00001152248],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038449754,0.00006230888,0.66681683,0.000037802823,0.0001790267,0.0000030123015,0.00150354,0.000027764214,0.00014980663,0.32084373,0.000011862914,0.01032584],"study_design_scores_gemma":[0.001599293,0.00075886975,0.4956609,0.00008984604,0.00008560292,0.0007824835,0.0035089345,0.0010738479,0.00017117677,0.49393803,0.001516574,0.0008144507],"about_ca_topic_score_codex":0.00012032796,"about_ca_topic_score_gemma":0.00029886715,"teacher_disagreement_score":0.1730943,"about_ca_system_score_codex":0.00020063389,"about_ca_system_score_gemma":0.00027343622,"threshold_uncertainty_score":0.6818438},"labels":[],"label_agreement":null},{"id":"W3122773988","doi":"10.2139/ssrn.1734421","title":"The Financial Crisis at the Kitchen Table: Trends in Household Debt and Credit","year":2010,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Household debt; Default; Debt; Consumer debt; Economics; Panel data; Financial crisis; Sample (material); Interest rate; Monetary economics; Credit card; Business; Financial system; Finance; Macroeconomics; Geography; Econometrics","score_opus":0.016237888799217344,"score_gpt":0.20829972659352314,"score_spread":0.1920618377943058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122773988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91885805,0.036602534,0.0010299999,0.013365776,0.0049863234,0.00032772464,0.00012770413,0.000049619288,0.024652237],"genre_scores_gemma":[0.92726785,0.06792831,0.000040311876,0.00024271868,0.0013571054,0.000032807973,0.000019650099,0.00007978666,0.003031478],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9960736,0.00005458542,0.00096701726,0.0005703572,0.00006392727,0.00227048],"domain_scores_gemma":[0.9982276,0.0001414624,0.00084842514,0.00065066514,0.000027542794,0.00010432932],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0052609905,0.0003702324,0.0006032261,0.00032521432,0.00078702,0.00053685793,0.00091627106,0.00054778164,0.00012683378],"category_scores_gemma":[0.0001846663,0.00028938564,0.00023851162,0.00022332763,0.00015521783,0.00015589429,0.000604198,0.006550926,0.00003652205],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067687785,0.00027782345,0.08267591,0.00006711982,0.00088226394,0.00002694291,0.002725459,0.0033642827,0.000013720225,0.52058506,0.029827641,0.35887688],"study_design_scores_gemma":[0.0009869399,0.00009488338,0.013667177,0.000020279844,0.000044645556,0.00020480403,0.00044110368,0.0029856241,0.0000065708173,0.8223065,0.15853989,0.00070153543],"about_ca_topic_score_codex":0.00091659214,"about_ca_topic_score_gemma":0.048203453,"teacher_disagreement_score":0.35817534,"about_ca_system_score_codex":0.001539477,"about_ca_system_score_gemma":0.0007182709,"threshold_uncertainty_score":0.99995583},"labels":[],"label_agreement":null},{"id":"W3122797786","doi":"10.2139/ssrn.3265918","title":"Affordable Housing and City Welfare","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Affordable housing; Welfare; Business; Economic growth; Political science; Economics; Law","score_opus":0.015188644273452014,"score_gpt":0.20371451753500458,"score_spread":0.18852587326155257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122797786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91354823,0.0017338766,0.006888616,0.0013493666,0.0005146523,0.00006291428,0.0000053589056,0.000035740613,0.07586125],"genre_scores_gemma":[0.9940168,0.004100425,0.00030041544,0.00011297624,0.0005627518,0.0000011757245,0.0000012904312,0.000027389831,0.0008767538],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978941,0.000010653632,0.00035641462,0.00023780882,0.000020859969,0.0014801718],"domain_scores_gemma":[0.9994887,0.00001228458,0.00023056318,0.00015381524,0.000027514374,0.000087113796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017057437,0.00012706911,0.0002451362,0.00015502116,0.0004229077,0.00016019258,0.00016218994,0.0000824413,0.00025453581],"category_scores_gemma":[0.000051252686,0.00014468806,0.00006913229,0.00011118753,0.000092565206,0.00031236434,0.00005175249,0.00063333305,0.00014574465],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047901813,0.00003821519,0.09133818,0.0000067384112,0.00010236652,0.0000017347319,0.0002918878,0.0000059022573,0.000008589247,0.8698976,0.00015974621,0.038101114],"study_design_scores_gemma":[0.00070699793,0.0002750741,0.0042138435,0.000009204171,0.000009579412,0.00021322901,0.0005275848,0.001005481,0.000027293505,0.87940073,0.1132707,0.00034025757],"about_ca_topic_score_codex":0.00017498591,"about_ca_topic_score_gemma":0.0010155465,"teacher_disagreement_score":0.11311096,"about_ca_system_score_codex":0.000507207,"about_ca_system_score_gemma":0.00015192789,"threshold_uncertainty_score":0.5900208},"labels":[],"label_agreement":null},{"id":"W3122798099","doi":"","title":"Robbing the Bank: Non-recourse Lending and Asset Prices","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Real estate; Equity (law); Debt; Asset (computer security); Real estate investment trust; Business; Monetary economics; Economics; Financial economics; Shareholder; Valuation (finance); Finance","score_opus":0.013739221406719817,"score_gpt":0.20517360886183433,"score_spread":0.1914343874551145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122798099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9013646,0.005827566,0.009094651,0.001112065,0.0007790263,0.0001263553,0.0000044463477,0.000021515541,0.08166973],"genre_scores_gemma":[0.98700017,0.011579189,0.00022894893,0.00011225552,0.00019828934,0.000003420155,0.0000010928504,0.000028423776,0.00084822596],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99786514,0.000024845785,0.00041502327,0.00023488112,0.000026981146,0.001433147],"domain_scores_gemma":[0.99932873,0.00007451514,0.00034129788,0.00017120467,0.000014502918,0.00006974233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004137022,0.00014760767,0.00024949122,0.00014497053,0.00046551373,0.0002502035,0.00021532312,0.00007481652,0.000105076026],"category_scores_gemma":[0.00011374322,0.00013244232,0.00009313925,0.00012582997,0.00004740811,0.00034919666,0.000027845397,0.0009949486,0.000097256605],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013188886,0.00003582637,0.056787673,0.000007311182,0.00017245376,0.0000019867125,0.0005126166,0.00013138357,0.000016042872,0.92881,0.00030732268,0.013204213],"study_design_scores_gemma":[0.001131678,0.00017908763,0.0064482163,0.000023772294,0.000032423814,0.0006773996,0.0029348028,0.0024819407,0.00003772717,0.8953501,0.09012326,0.0005795835],"about_ca_topic_score_codex":0.000050023802,"about_ca_topic_score_gemma":0.00029212618,"teacher_disagreement_score":0.08981594,"about_ca_system_score_codex":0.000445922,"about_ca_system_score_gemma":0.00026094998,"threshold_uncertainty_score":0.5400841},"labels":[],"label_agreement":null},{"id":"W3122803116","doi":"10.1111/iere.12534","title":"IMPROVING THE MEASUREMENT OF EARNINGS DYNAMICS","year":2021,"lang":"en","type":"preprint","venue":"International Economic Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Samfund og Erhverv, Det Frie Forskningsråd; National Science Foundation","keywords":"Earnings; Econometrics; Economics; Earnings response coefficient; Consumption (sociology); Variance (accounting); Accounting","score_opus":0.04613025724459682,"score_gpt":0.2467102309855734,"score_spread":0.20057997374097658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122803116","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.072004914,0.1418217,0.0081862,0.015596514,0.020974929,0.0021206483,0.001061721,0.00011554155,0.7381178],"genre_scores_gemma":[0.68965715,0.30584937,0.0012848866,0.00129912,0.00070027594,0.00018549351,0.00039386132,0.000107762826,0.000522062],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99723935,0.00003247496,0.0017900995,0.00064984395,0.00006866506,0.00021956408],"domain_scores_gemma":[0.9966339,0.00006312731,0.0023147948,0.00079758227,0.00013538815,0.00005524053],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0026541166,0.00028639694,0.0009968014,0.00013073748,0.00005567338,0.00018392262,0.0011293764,0.00016541776,0.00166872],"category_scores_gemma":[0.00035144296,0.00029605147,0.0005958527,0.00004137194,0.000078931174,0.0001603028,0.0008240427,0.00048200664,0.00031010815],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011033849,0.0005790892,0.054753557,0.025008583,0.0061177537,0.00002927227,0.0014696058,0.021319121,0.000026152871,0.353116,0.02821591,0.50925463],"study_design_scores_gemma":[0.001044166,0.000059911064,0.0059953965,0.0113696465,0.0002834454,0.000044863642,0.00021513224,0.2926062,0.00008352107,0.022939753,0.6631448,0.0022131018],"about_ca_topic_score_codex":0.0008816143,"about_ca_topic_score_gemma":0.00025384678,"teacher_disagreement_score":0.7375958,"about_ca_system_score_codex":0.0014264126,"about_ca_system_score_gemma":0.00023556149,"threshold_uncertainty_score":0.99994916},"labels":[],"label_agreement":null},{"id":"W3122808045","doi":"","title":"Measuring Household Spending and Payment Habits: The Role of \"Typical\" and \"Specific\" Time Frames in Survey Questions","year":2012,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Payment; Cash; Sequence (biology); Quarter (Canadian coin); Sample (material); Actuarial science; Time sequence; Recall; Econometrics; Statistics; Economics; Demographic economics; Psychology; Computer science; Finance; Mathematics; Geography; Data mining","score_opus":0.07192265478819249,"score_gpt":0.25978478067345023,"score_spread":0.18786212588525775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122808045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95705825,0.0018814105,0.0000027179715,0.00010470085,0.00010157838,0.00024756434,0.00005687658,0.000010850279,0.040536027],"genre_scores_gemma":[0.9859255,0.01355707,0.0002451621,0.000017255143,0.000072824616,0.000026364543,0.0000061611745,0.000033938624,0.000115731644],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981494,0.00013551112,0.00069156394,0.00038437103,0.00003848817,0.00060066784],"domain_scores_gemma":[0.9985562,0.00073505816,0.00017063234,0.00038472196,0.000014842197,0.00013851916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052825124,0.00015372335,0.00043109964,0.00040334617,0.0001359246,0.000097434284,0.00022648623,0.00013760247,0.000066215616],"category_scores_gemma":[0.00039848234,0.00016072321,0.000045611698,0.00016041865,0.0002715715,0.00029869183,0.0002308842,0.00041881963,0.000018640787],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065284854,0.000091558686,0.95001656,0.000015500367,0.000019160098,5.7117956e-7,0.00052191096,0.00016826346,0.000050682847,0.009030646,0.000009720621,0.040010136],"study_design_scores_gemma":[0.00038604537,0.000031921645,0.9772486,0.000043660893,0.0000013746413,0.0000047587987,0.00038228778,0.0032020528,0.000079315854,0.00414149,0.014264114,0.00021435758],"about_ca_topic_score_codex":0.0003130066,"about_ca_topic_score_gemma":0.00041627942,"teacher_disagreement_score":0.040420294,"about_ca_system_score_codex":0.0003012736,"about_ca_system_score_gemma":0.000025182186,"threshold_uncertainty_score":0.65541023},"labels":[],"label_agreement":null},{"id":"W3122878872","doi":"10.5539/ijef.v6n1p99","title":"The Impact of the Crime Rate and Star Schools on House Prices: An Analysis of Spatial Dependence","year":2013,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Star (game theory); Crime rate; Lag; House price; Econometrics; Estimation; Economics; Criminology; Psychology; Mathematics; Computer science","score_opus":0.02014815583075728,"score_gpt":0.23867971566561974,"score_spread":0.21853155983486247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122878872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99808097,0.0003021956,0.00011577441,0.00036047318,0.00032490544,0.00007856943,0.000083210805,0.0000013640027,0.0006525658],"genre_scores_gemma":[0.9908132,0.008820631,0.00019676848,0.000053216063,0.00007554867,0.0000019090671,0.0000010447311,0.0000116514875,0.0000260547],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884266,0.000018828892,0.0008246881,0.00016229304,0.000026293004,0.00012523928],"domain_scores_gemma":[0.99790233,0.00014758884,0.0015470481,0.00021724109,0.0001419706,0.000043794884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007077155,0.00011179963,0.00038535407,0.00021626055,0.00007127035,0.00015421644,0.0004808985,0.000053003096,0.000028675458],"category_scores_gemma":[0.000118632204,0.00008003393,0.00021823368,0.00007598084,0.000114128656,0.00043123274,0.00007456939,0.00014582218,0.0000042103125],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006651971,0.00034626102,0.6706783,0.000013353538,0.003504401,0.0000034086427,0.0010060887,0.10142433,0.0001272157,0.18747626,0.00021729436,0.034537897],"study_design_scores_gemma":[0.00046868942,0.0002041209,0.8596534,0.000021004504,0.000035681795,0.0000070380192,0.00006444923,0.116828576,0.000115358576,0.021876076,0.00060617446,0.00011941182],"about_ca_topic_score_codex":0.0013802312,"about_ca_topic_score_gemma":0.00017979283,"teacher_disagreement_score":0.18897513,"about_ca_system_score_codex":0.00009462355,"about_ca_system_score_gemma":0.000060138787,"threshold_uncertainty_score":0.3263689},"labels":[],"label_agreement":null},{"id":"W3122883406","doi":"","title":"An introduction to the FRBNY Consumer Credit Panel","year":2010,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Sample (material); Panel data; Econometrics; Debt; Household debt; Consumer debt; Credit card; Flow of funds; Population; Actuarial science; Business; Economics; Finance; Geography","score_opus":0.038819354945439616,"score_gpt":0.2776171671207576,"score_spread":0.238797812175318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122883406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81800556,0.00002805518,0.000024541485,0.006598609,0.002477878,0.00048447738,0.000060483657,0.000052925665,0.17226747],"genre_scores_gemma":[0.9929288,0.0009311512,0.0008713312,0.00038147718,0.0025084463,0.000122055746,0.000023930148,0.00007234912,0.0021604667],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973462,0.00007000783,0.00077307364,0.00091936486,0.00005232999,0.00083898054],"domain_scores_gemma":[0.99781644,0.00022470346,0.00016919964,0.0014381537,0.000059572274,0.00029193738],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004084127,0.00021651543,0.00041339593,0.0005355047,0.00035421265,0.00031886378,0.0008487317,0.00023576702,0.0014173595],"category_scores_gemma":[0.0007351114,0.00022661284,0.00010586512,0.0002685383,0.0002710779,0.00038931734,0.00017898544,0.0010629399,0.0009626836],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040118166,0.0007680557,0.13424495,0.000053059477,0.00016042305,0.00001958858,0.0032557142,0.0065114493,0.0017841159,0.14354281,0.0119901495,0.6972685],"study_design_scores_gemma":[0.00042599617,0.00011006397,0.021242771,0.0000039481065,0.000002238055,0.000015443506,0.00044241498,0.009452215,0.00012227414,0.004005349,0.96379703,0.0003802416],"about_ca_topic_score_codex":0.00017148498,"about_ca_topic_score_gemma":0.0020734072,"teacher_disagreement_score":0.9518069,"about_ca_system_score_codex":0.0002909402,"about_ca_system_score_gemma":0.000094918345,"threshold_uncertainty_score":0.99981517},"labels":[],"label_agreement":null},{"id":"W3122973072","doi":"","title":"Spatial Heterogeneity in Mortgage Terminations by Refinance, Sale and Default","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Unobservable; Equity (law); Econometrics; Estimation; Covariance; Economics; Loan-to-value ratio; Moral hazard; Actuarial science; Mortgage insurance; Business; Microeconomics; Statistics; Insurance policy; Mathematics; Incentive","score_opus":0.035865089157155985,"score_gpt":0.2895145240730569,"score_spread":0.2536494349159009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122973072","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8362977,0.00063930574,0.0000411193,0.0003359529,0.0005091569,0.00066773896,0.00055604836,0.000037687976,0.16091529],"genre_scores_gemma":[0.9742874,0.023635974,0.00048258167,0.000065500055,0.00014721933,0.00026489102,0.0001923849,0.00010887189,0.00081516925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9955698,0.00010134535,0.0015886188,0.001619842,0.00006557349,0.001054808],"domain_scores_gemma":[0.997937,0.0002299558,0.0005121385,0.001058617,0.000039663784,0.00022258883],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002631578,0.00046038188,0.0011084632,0.0011311553,0.00019139404,0.00030547098,0.000686137,0.0007798071,0.00009108367],"category_scores_gemma":[0.00039983212,0.0006576726,0.00019160502,0.00019127358,0.0003889934,0.00025283033,0.0010662382,0.0018106402,0.000054772765],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002646376,0.0013081653,0.67561114,0.0009222016,0.00020450565,0.00016106782,0.0017301287,0.023410687,0.00007057125,0.0093153445,0.00033208926,0.28666946],"study_design_scores_gemma":[0.0089936415,0.0004705996,0.52378386,0.0011963885,0.000025748333,0.00006922853,0.0006258867,0.11457028,0.00041815918,0.14353018,0.2009694,0.0053466107],"about_ca_topic_score_codex":0.0029485566,"about_ca_topic_score_gemma":0.0068490035,"teacher_disagreement_score":0.28132287,"about_ca_system_score_codex":0.0020819805,"about_ca_system_score_gemma":0.00031237648,"threshold_uncertainty_score":0.9995875},"labels":[],"label_agreement":null},{"id":"W3122982071","doi":"","title":"ASSET MELTDOWN - FACT OR FICTION?","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Treasury; Real estate; Asset (computer security); Bond; Real estate investment trust; Economics; Variety (cybernetics); Financial economics; Business; Finance; Geography","score_opus":0.05832412935104137,"score_gpt":0.30284641781532357,"score_spread":0.2445222884642822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122982071","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23912469,0.0002454942,0.000039619015,0.00043665548,0.001896993,0.0008494339,0.0007488172,0.0001247569,0.75653356],"genre_scores_gemma":[0.95607895,0.018422501,0.0018298036,0.00018741496,0.0011981578,0.00044712858,0.0006585568,0.00031083415,0.020866659],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99404544,0.00014133505,0.0021689397,0.0020076297,0.000098589735,0.0015380677],"domain_scores_gemma":[0.9964131,0.00054082193,0.00080628874,0.0018629255,0.00007994831,0.00029690278],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0037589632,0.00065875816,0.001551142,0.0015865599,0.00032833402,0.00066858483,0.001309049,0.0011464525,0.001573799],"category_scores_gemma":[0.00055838627,0.0007993179,0.0004729357,0.00028376392,0.00033438168,0.0003188462,0.0013330989,0.0025477319,0.00045131784],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001189698,0.0021929333,0.39604282,0.001429593,0.0010842206,0.0003468,0.001393104,0.08121486,0.000021310458,0.02162707,0.031785525,0.46167207],"study_design_scores_gemma":[0.0021902265,0.00025039018,0.051336963,0.00027352976,0.000019025547,0.000033361503,0.00030696366,0.054854855,0.000044011267,0.042677708,0.845409,0.0026039954],"about_ca_topic_score_codex":0.0012931861,"about_ca_topic_score_gemma":0.0017928916,"teacher_disagreement_score":0.8136234,"about_ca_system_score_codex":0.0025904966,"about_ca_system_score_gemma":0.00052489515,"threshold_uncertainty_score":0.9997534},"labels":[],"label_agreement":null},{"id":"W3122984797","doi":"10.1108/s1049-258520140000022000?utm_campaign=repec&amp;wt.mc_id=repec","title":"Cross-National Differences in Wealth Portfolios at the Intensive Margin: Is there a Role for Policy?","year":2014,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministère de l'Education Nationale, de l'Enseignement Superieur et de la Recherche","keywords":"Margin (machine learning); Portfolio; Asset (computer security); Debt; National wealth; Asset allocation; Economics; Sample (material); Investment (military); Demographic economics; Cohort; Monetary economics; Business; Finance","score_opus":0.04362400492305158,"score_gpt":0.3094506361992533,"score_spread":0.2658266312762017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122984797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7131219,0.00014218863,0.000008095541,0.0036547517,0.0001910082,0.00050687464,0.00016726679,0.000014376056,0.2821935],"genre_scores_gemma":[0.9889353,0.0031382719,0.00009452798,0.0010716456,0.000313226,0.00021641901,0.00002641889,0.000051712967,0.006152515],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99736756,0.00007207378,0.0008936449,0.00072463544,0.000066472654,0.0008756269],"domain_scores_gemma":[0.99808013,0.00083525205,0.0003073151,0.0005140032,0.00012934353,0.00013395051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00351849,0.00022219843,0.00054193765,0.0006337317,0.00030139304,0.00021449411,0.0005947041,0.00020705709,0.0003495784],"category_scores_gemma":[0.0013202307,0.00021885526,0.00017017264,0.00023437808,0.00038687637,0.0002110033,0.0002749795,0.00041433572,0.00012881642],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025405994,0.00011338657,0.84477866,0.00005637292,0.000061302206,0.0000017224185,0.0011095954,0.00077247375,0.0000076545175,0.09051918,0.00050460483,0.061820973],"study_design_scores_gemma":[0.002481424,0.0002080462,0.4222491,0.00005642541,0.000002312879,0.000011270667,0.0010152984,0.08260875,0.000055227923,0.19110885,0.29953495,0.0006683212],"about_ca_topic_score_codex":0.0006225363,"about_ca_topic_score_gemma":0.0019979128,"teacher_disagreement_score":0.42252955,"about_ca_system_score_codex":0.0014530501,"about_ca_system_score_gemma":0.00024422823,"threshold_uncertainty_score":0.8924659},"labels":[],"label_agreement":null},{"id":"W3122996905","doi":"10.34989/swp-2015-26","title":"On the Welfare Cost of Rare Housing Disasters","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada; Wilfrid Laurier University","funders":"","keywords":"Welfare; Consumption (sociology); Economics; Business; Public economics; Demographic economics; Actuarial science; Market economy","score_opus":0.05312790698016703,"score_gpt":0.2778950366234489,"score_spread":0.22476712964328185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122996905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6697261,0.00020904496,0.000015871909,0.0016406408,0.00089067046,0.0007637599,0.00026563794,0.000025935422,0.3264624],"genre_scores_gemma":[0.9919399,0.006633441,0.00020527198,0.00018683451,0.00017422665,0.00017416663,0.00011106711,0.00013079433,0.0004442934],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9959038,0.00019739574,0.0015622221,0.0012927183,0.00009600637,0.00094784127],"domain_scores_gemma":[0.99615157,0.000861718,0.0007812502,0.001945584,0.00008813293,0.00017175323],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003268886,0.00045156834,0.0012148499,0.0007320647,0.00030242876,0.00040955123,0.0012260814,0.00057227863,0.00074715604],"category_scores_gemma":[0.0010330544,0.00048643086,0.00046189595,0.0002453325,0.0004754347,0.0001546002,0.0013808492,0.001969388,0.000048637212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009151725,0.0018227267,0.098482765,0.002033586,0.0014093003,0.00022103872,0.008198712,0.21089888,0.000039363513,0.2688799,0.001129359,0.4059692],"study_design_scores_gemma":[0.010260183,0.0012152649,0.07890099,0.0068295384,0.0001234878,0.00007310779,0.047393356,0.2621045,0.0014979622,0.18552116,0.39466965,0.011410801],"about_ca_topic_score_codex":0.00037013533,"about_ca_topic_score_gemma":0.00072023046,"teacher_disagreement_score":0.39455843,"about_ca_system_score_codex":0.0012341505,"about_ca_system_score_gemma":0.00025829382,"threshold_uncertainty_score":0.9997587},"labels":[],"label_agreement":null},{"id":"W3123000688","doi":"10.2139/ssrn.2442274","title":"Banks' Financial Distress, Lending Supply and Consumption Expenditure","year":2014,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Consumption (sociology); Consumption smoothing; Shock (circulatory); Financial distress; Monetary economics; Business; Investment (military); Order (exchange); Economics; Finance; Financial system; Macroeconomics; Business cycle","score_opus":0.014788138262969567,"score_gpt":0.21509269361968233,"score_spread":0.20030455535671277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123000688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9365179,0.020957403,0.02580971,0.0010238327,0.003930803,0.00034249938,0.00025667288,0.00008472064,0.011076442],"genre_scores_gemma":[0.938859,0.058552068,0.00019586901,0.00008802797,0.0014115473,0.000013785525,0.00010299138,0.00006327125,0.0007134601],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99646175,0.000043858414,0.00085837196,0.00064536114,0.00004920235,0.0019414354],"domain_scores_gemma":[0.9984675,0.000054310687,0.00095730345,0.0003546193,0.000023468281,0.00014279714],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002275181,0.0003927255,0.00076165696,0.00031081357,0.0003342912,0.00040621898,0.00042163252,0.0005323477,0.00020806903],"category_scores_gemma":[0.00013239782,0.0004744627,0.0002492871,0.00004114457,0.00010107548,0.0002254295,0.00029337555,0.0038520033,0.00018384463],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012223517,0.00008942695,0.13217308,0.00021695747,0.00030504807,0.000009541614,0.0004031232,0.00041043985,0.000007849804,0.7984136,0.0019357018,0.06591301],"study_design_scores_gemma":[0.0010385864,0.000113460934,0.0115765985,0.00014587985,0.000045830548,0.00026892286,0.00008894322,0.0016154096,0.000008186293,0.94160324,0.042591825,0.0009031413],"about_ca_topic_score_codex":0.00014315924,"about_ca_topic_score_gemma":0.00065540307,"teacher_disagreement_score":0.14318962,"about_ca_system_score_codex":0.0012595413,"about_ca_system_score_gemma":0.0005080585,"threshold_uncertainty_score":0.9997707},"labels":[],"label_agreement":null},{"id":"W3123006905","doi":"10.1111/caje.12236","title":"Sunk costs and the measurement of commercial property depreciation","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Australian Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Depreciation (economics); Economics; Property (philosophy); Productivity; Property tax; Real property; Inflation (cosmology); Real estate; National accounts; Accounting method; Welfare; Microeconomics; Macroeconomics; Finance; Revenue; Capital formation; Accounting","score_opus":0.1390849559914387,"score_gpt":0.1669902520836658,"score_spread":0.02790529609222711,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123006905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97857034,0.00046739876,0.00026759843,0.005763516,0.0012142028,0.00028927875,0.00015688228,0.0000035011444,0.013267271],"genre_scores_gemma":[0.9981804,0.00079844194,0.00013431504,0.00030540596,0.00036153596,0.000011260133,0.0000018712,0.0000381539,0.0001686466],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977859,0.00005135426,0.0013753992,0.00028996274,0.0000024047497,0.00049497397],"domain_scores_gemma":[0.99725056,0.00018764542,0.0013465086,0.00036470863,0.00018330362,0.00066729676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030210572,0.00021516156,0.0008177478,0.0004710872,0.00016826876,0.00009164241,0.00045431583,0.00015011226,0.00019211094],"category_scores_gemma":[0.00060372707,0.00015823879,0.00021620096,0.00007744808,0.000423744,0.00042932155,0.00002815753,0.00016969441,0.000025562571],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043306968,0.000018066774,0.0703427,0.000038856724,0.0002780272,0.000009549054,0.0013367409,0.0002753349,0.000013880767,0.875463,0.00092525146,0.05086552],"study_design_scores_gemma":[0.010431632,0.0005621466,0.024378788,0.0004195018,0.000104915445,0.00028184932,0.00043111466,0.0025000074,0.00033147674,0.805022,0.15436646,0.0011701178],"about_ca_topic_score_codex":0.09065771,"about_ca_topic_score_gemma":0.90461034,"teacher_disagreement_score":0.8139526,"about_ca_system_score_codex":0.0022562174,"about_ca_system_score_gemma":0.0007349023,"threshold_uncertainty_score":0.9153977},"labels":[],"label_agreement":null},{"id":"W3123077502","doi":"","title":"Gas Prices Variations and Urban Sprawl: an Empirical Analysis of the 12 Largest Canadian Metropolitan Areas","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Urban sprawl; Metropolitan area; Geography; Population; Welfare economics; Humanities; Forestry; Economy; Urban planning; Economics; Demography; Sociology; Engineering; Art","score_opus":0.06067571391737782,"score_gpt":0.2976918569637642,"score_spread":0.2370161430463864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123077502","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6795009,0.00022975694,0.0000110874025,0.0005128791,0.00044851637,0.00048796134,0.00075431744,0.000019378997,0.31803522],"genre_scores_gemma":[0.99374676,0.004671724,0.0005619827,0.00011987504,0.00015229569,0.00007463083,0.00013335537,0.00007242259,0.00046696427],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961876,0.00019184194,0.0013647925,0.0012187616,0.00007265328,0.0009643127],"domain_scores_gemma":[0.9965632,0.00032057444,0.0007111278,0.0017849797,0.0000898569,0.00053025596],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0033398208,0.00037301876,0.0012581437,0.00274549,0.00034009386,0.00026093482,0.0011657595,0.00062801916,0.00043467083],"category_scores_gemma":[0.0006177025,0.00040511042,0.00041929787,0.0006332802,0.00050067937,0.00023646952,0.0007742356,0.0011836453,0.000013336071],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025780888,0.00016244831,0.95546967,0.00005580442,0.00089247676,0.0000034563047,0.0012121836,0.00096729945,8.6134986e-7,0.03759048,0.000075623466,0.003543945],"study_design_scores_gemma":[0.00042143336,0.000084268184,0.8914334,0.000049395792,0.00019882827,0.00000312504,0.00076980056,0.05803484,0.00000930676,0.02593596,0.022274407,0.0007852372],"about_ca_topic_score_codex":0.0997998,"about_ca_topic_score_gemma":0.39207715,"teacher_disagreement_score":0.31756824,"about_ca_system_score_codex":0.0023046897,"about_ca_system_score_gemma":0.0007425375,"threshold_uncertainty_score":0.9998401},"labels":[],"label_agreement":null},{"id":"W3123088213","doi":"","title":"Assessing financial stability risks from the real estate market in Italy","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Vulnerability (computing); Quarter (Canadian coin); Business; Warning system; Investment (military); Variable (mathematics); Real estate investment trust; Finance; Economics; Econometrics; Actuarial science; Geography; Computer science; Mathematics","score_opus":0.10169525134535243,"score_gpt":0.3282453844567741,"score_spread":0.22655013311142166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123088213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57863575,0.00008017221,0.000010889215,0.000607229,0.0009300379,0.00057363184,0.00059728033,0.00003207296,0.41853294],"genre_scores_gemma":[0.9575633,0.040400907,0.00041609045,0.000090948204,0.0006740746,0.0002443888,0.00010054903,0.00013190872,0.00037786367],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99349356,0.0004864943,0.0022754453,0.0021059695,0.000107487074,0.0015310246],"domain_scores_gemma":[0.9941901,0.0024508622,0.00085990166,0.0021953487,0.00007097732,0.0002328279],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.010003328,0.0005924871,0.0014191717,0.00065019995,0.00029822762,0.0008821274,0.0016522165,0.0009306472,0.0009053494],"category_scores_gemma":[0.002190835,0.00059133774,0.00038773427,0.00023603575,0.00062764226,0.00059019885,0.0018695156,0.0027085247,0.000117310876],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027786093,0.00024681244,0.64413863,0.00009962596,0.000082744715,0.000038127462,0.0012402685,0.0007154579,0.000011854158,0.0014286892,0.00027165835,0.35144827],"study_design_scores_gemma":[0.0018191114,0.000058614787,0.8168827,0.00040138708,0.000009338637,0.000002405936,0.00092328223,0.018328326,0.000030173744,0.12070313,0.039448015,0.0013934727],"about_ca_topic_score_codex":0.007092198,"about_ca_topic_score_gemma":0.010835476,"teacher_disagreement_score":0.41815507,"about_ca_system_score_codex":0.003180454,"about_ca_system_score_gemma":0.000879043,"threshold_uncertainty_score":0.9996538},"labels":[],"label_agreement":null},{"id":"W3123096409","doi":"","title":"Bubble or Riddle? An Asset-Pricing Approach Evaluation on China’s Housing Market","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Asset (computer security); Capital asset pricing model; Economic bubble; Arbitrage; Financial economics; China; Quarter (Canadian coin); Econometrics; Microeconomics; Monetary economics","score_opus":0.13793765561642507,"score_gpt":0.337075767857873,"score_spread":0.19913811224144795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123096409","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.408655,0.00014933696,0.000042449232,0.0001604498,0.001149419,0.0012698204,0.00016398286,0.00008577265,0.5883238],"genre_scores_gemma":[0.98603,0.004928524,0.0034873579,0.00013385336,0.0010160173,0.00047524268,0.0005261592,0.00031617173,0.003086672],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9930368,0.00055261387,0.0020088905,0.0025640668,0.00026060382,0.0015770264],"domain_scores_gemma":[0.9954694,0.0003549215,0.0010128798,0.002430622,0.0002017252,0.0005304402],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.019839516,0.00076099334,0.0016245494,0.0019450041,0.00039389418,0.00090522366,0.0014501407,0.0010877405,0.0007924338],"category_scores_gemma":[0.0017548162,0.00090363756,0.0003042087,0.00036870333,0.00027001047,0.00058101,0.0011777192,0.0026854146,0.0001428639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022052894,0.002313332,0.036598776,0.0008891346,0.00053177774,0.000060815284,0.003672341,0.44653556,0.000008872174,0.0066020116,0.002880019,0.49770206],"study_design_scores_gemma":[0.0021947757,0.00036795286,0.014083936,0.00025399364,0.000024727511,0.000015057343,0.00094458606,0.9319379,0.000010360029,0.030385008,0.018213913,0.0015678023],"about_ca_topic_score_codex":0.000753283,"about_ca_topic_score_gemma":0.00071871013,"teacher_disagreement_score":0.5852371,"about_ca_system_score_codex":0.005698789,"about_ca_system_score_gemma":0.0012921203,"threshold_uncertainty_score":0.99961543},"labels":[],"label_agreement":null},{"id":"W3123110188","doi":"","title":"Household Debt, Financial Intermediation, and Monetary Policy","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Balance sheet; Economics; Household debt; Debt; Monetary economics; Monetary policy; Recession; Dynamic stochastic general equilibrium; Financial intermediary; Intermediation; Financial system; Macroeconomics; Finance","score_opus":0.049057804583378155,"score_gpt":0.27850735473588634,"score_spread":0.22944955015250817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123110188","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6837782,0.0008747049,0.000013413419,0.0009944054,0.0011406179,0.0006427472,0.00049630547,0.0000752561,0.3119843],"genre_scores_gemma":[0.96193296,0.033958264,0.0005885528,0.00031694712,0.0013721868,0.00017046099,0.00016625304,0.00015036805,0.0013440057],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9958185,0.00010543171,0.0014828955,0.0014329389,0.000074636475,0.001085597],"domain_scores_gemma":[0.9975481,0.0002545643,0.00055122474,0.0011372304,0.00007639204,0.00043249797],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0035634923,0.00048262527,0.0011657994,0.0017443614,0.00017585764,0.00037582393,0.00081755966,0.00086350413,0.000077483615],"category_scores_gemma":[0.0016145604,0.0006588361,0.00020032814,0.00022399623,0.00043367472,0.00028642555,0.0016656001,0.001796739,0.000078096215],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006153944,0.0007738584,0.43347415,0.0009813639,0.00039542138,0.0001295448,0.004726064,0.02871754,0.000010289012,0.061248764,0.007677762,0.46124983],"study_design_scores_gemma":[0.00363625,0.00032222804,0.122787,0.00036696435,0.000017770408,0.000045088582,0.00046807516,0.07270519,0.000023505847,0.5363455,0.2602654,0.0030170684],"about_ca_topic_score_codex":0.0008237319,"about_ca_topic_score_gemma":0.00065381895,"teacher_disagreement_score":0.4750967,"about_ca_system_score_codex":0.0018890316,"about_ca_system_score_gemma":0.0009398537,"threshold_uncertainty_score":0.9995863},"labels":[],"label_agreement":null},{"id":"W3123181395","doi":"10.2139/ssrn.1428740","title":"The Effect of Adversity on Process Innovations and Managerial Incentives","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Incentive; Bankruptcy; Identification (biology); Panel data; Process (computing); Set (abstract data type); Longitudinal data; Business; Industrial organization; Demographic economics; Economics; Market economy; Econometrics; Finance; Sociology","score_opus":0.00519719743241123,"score_gpt":0.2026939203554734,"score_spread":0.19749672292306217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123181395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9817677,0.00050289254,0.00038876687,0.00065498403,0.00016384797,0.000082259765,0.0000025808224,0.000006947164,0.01643],"genre_scores_gemma":[0.9969799,0.0027031763,0.0000067716883,0.00002861751,0.000094355775,8.1765376e-7,9.682595e-7,0.0000052264736,0.00018019625],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99904996,0.000017578863,0.0002566142,0.00011476039,0.000019752431,0.00054135546],"domain_scores_gemma":[0.9995573,0.000059917795,0.00025493524,0.0000904726,0.000015213698,0.000022144826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016681796,0.000076205455,0.0001662572,0.00010085837,0.00027795232,0.00004975427,0.0001433311,0.000037426336,0.000005759107],"category_scores_gemma":[0.00009057787,0.00006356325,0.000046352798,0.00012742165,0.000045709792,0.00013710326,0.000012254346,0.0004124956,0.000009552103],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040492218,0.000037800473,0.039600626,0.000009727449,0.00010948707,6.0140025e-7,0.00018156391,0.000086770466,0.000011115666,0.88655335,0.000065292275,0.072938755],"study_design_scores_gemma":[0.0016548601,0.0016870943,0.02905369,0.000017965118,0.000014953874,0.000026625261,0.0003254331,0.00038942584,0.00020353445,0.9628649,0.0035477716,0.00021374632],"about_ca_topic_score_codex":0.0000074049553,"about_ca_topic_score_gemma":0.000032198666,"teacher_disagreement_score":0.07631156,"about_ca_system_score_codex":0.00017864315,"about_ca_system_score_gemma":0.00006877361,"threshold_uncertainty_score":0.2592034},"labels":[],"label_agreement":null},{"id":"W3123238706","doi":"10.1016/j.cities.2020.103080","title":"The impact of mixes of transportation options on residential property values: Synergistic effects of walkability","year":2021,"lang":"en","type":"article","venue":"Cities","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Walkability; Apartment; Transport engineering; Residential property; Property value; Pedestrian; Public transport; Business; Service (business); Built environment; Environmental planning; Civil engineering; Environmental science; Geography; Regional science; Engineering; Marketing; Real estate","score_opus":0.01927836564639933,"score_gpt":0.22903888149809606,"score_spread":0.20976051585169675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123238706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99139214,0.00047116372,0.00011133493,0.000029810475,0.00022433371,0.000092092436,0.00013537904,0.000005650227,0.007538128],"genre_scores_gemma":[0.99894404,0.00055814144,0.00007136838,0.0000024411172,0.000019720888,0.000006802192,0.000015771002,0.000008170295,0.00037355156],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99925095,0.000026357664,0.0004764321,0.00012600515,0.000021955691,0.00009831677],"domain_scores_gemma":[0.999132,0.00028291304,0.0002715234,0.00023703747,0.000057940306,0.000018606834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028658044,0.00006973708,0.00027962483,0.000055602526,0.000057781628,0.000013370002,0.00008924075,0.00003203094,0.000053230684],"category_scores_gemma":[0.00027043317,0.000051730083,0.00018374613,0.000083994964,0.00016957101,0.000068257665,0.0000072085604,0.000046300804,0.0000040130885],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001143083,0.0017408937,0.5129291,0.0052966443,0.0016237522,0.000018014958,0.017946042,0.020250307,0.012745164,0.41282022,0.0025574497,0.010929314],"study_design_scores_gemma":[0.0009472666,0.00055012887,0.8256638,0.00024985106,0.000058212652,9.975979e-7,0.0010221875,0.0023363968,0.059080098,0.109500386,0.00028733115,0.00030336686],"about_ca_topic_score_codex":0.001091738,"about_ca_topic_score_gemma":0.00015455513,"teacher_disagreement_score":0.3127347,"about_ca_system_score_codex":0.000044615874,"about_ca_system_score_gemma":0.000055947385,"threshold_uncertainty_score":0.21094915},"labels":[],"label_agreement":null},{"id":"W3123254011","doi":"","title":"Time-Varying Impact of Uncertainty Shocks on the US Housing Market","year":2018,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Shock (circulatory); Quarter (Canadian coin); Vector autoregression; Econometrics; Economics; Sign (mathematics); Standard deviation; House price; Variable (mathematics); Monetary economics; Statistics; Mathematics; Geography","score_opus":0.04584685226869066,"score_gpt":0.29724217138577047,"score_spread":0.2513953191170798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123254011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5921174,0.00007473119,0.0000025537379,0.00017013829,0.00042950053,0.0005475126,0.00027084307,0.000028671673,0.40635863],"genre_scores_gemma":[0.99232954,0.0049864193,0.00017483231,0.00011457147,0.0005329961,0.00010059595,0.00006746165,0.00016690673,0.0015266883],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99511564,0.00026656827,0.0017908077,0.0014270011,0.0001106891,0.0012893145],"domain_scores_gemma":[0.99512684,0.0013159952,0.0010577672,0.0021561533,0.00012013922,0.0002231173],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006941607,0.0006004982,0.0014362977,0.0011077297,0.00033195032,0.00032033515,0.001545725,0.000736114,0.002925263],"category_scores_gemma":[0.0011414993,0.0005859528,0.0007770394,0.0002742055,0.0008695871,0.00015877871,0.0013895284,0.0019867506,0.00025322588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029178334,0.0013819439,0.26009643,0.0007777659,0.0023881309,0.000066644854,0.0027073072,0.59160686,0.00008067495,0.005253846,0.009653301,0.12306924],"study_design_scores_gemma":[0.0022691959,0.00093568326,0.042021,0.0011577541,0.000032724838,0.000016180782,0.0003049619,0.8738986,0.00011176398,0.050946508,0.025643399,0.0026621998],"about_ca_topic_score_codex":0.00087466143,"about_ca_topic_score_gemma":0.00016274455,"teacher_disagreement_score":0.40483195,"about_ca_system_score_codex":0.0028507332,"about_ca_system_score_gemma":0.0005646844,"threshold_uncertainty_score":0.9996592},"labels":[],"label_agreement":null},{"id":"W3123261662","doi":"","title":"Portfolio Transactions in Europe","year":2007,"lang":"en","type":"article","venue":"ERES eBooks","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Portfolio; Real estate; Business; Presentation (obstetrics); Czech; Quarter (Canadian coin); Investment (military); Finance; European market; Commerce; Geography; Political science","score_opus":0.02855193049443771,"score_gpt":0.21449748815962902,"score_spread":0.1859455576651913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123261662","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18548422,0.000063734224,0.0076152747,0.000037460377,0.00034333926,0.00006410654,0.00000796145,0.000035167155,0.80634874],"genre_scores_gemma":[0.9807632,0.000023660914,0.00045089546,0.00014012132,0.00007737219,0.000003137393,0.0000020141488,0.000022770664,0.018516807],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99909127,0.000004189595,0.00042093205,0.00020491017,0.000011055986,0.00026764942],"domain_scores_gemma":[0.9996303,0.000028254872,0.00009040411,0.00017961432,0.000009745751,0.00006168391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005550265,0.00008605537,0.00017878957,0.00025120936,0.000050770785,0.00003397072,0.000111285495,0.00006286654,0.0005923733],"category_scores_gemma":[0.000017344739,0.000112020425,0.000047647496,0.00009214418,0.00003188104,0.0000649455,0.0000085821675,0.00012923675,0.00041261571],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022278333,0.00031666737,0.15817435,0.00006202391,0.00010217349,0.00020421596,0.005055693,0.0004386637,0.00019014312,0.4023455,0.0028390314,0.43004876],"study_design_scores_gemma":[0.0008630718,0.000047973976,0.04738423,0.000014560598,0.0000037926347,0.000014422078,0.00017118978,0.00062991295,0.00047741304,0.018476408,0.9314423,0.00047472515],"about_ca_topic_score_codex":0.00029672612,"about_ca_topic_score_gemma":0.0015915373,"teacher_disagreement_score":0.9286033,"about_ca_system_score_codex":0.0000536729,"about_ca_system_score_gemma":0.000017982746,"threshold_uncertainty_score":0.6486072},"labels":[],"label_agreement":null},{"id":"W3123266564","doi":"","title":"Monetary and Fiscal Stimuli, Ownership Structure, and China's Housing Market","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Beijing; China; Stimulus (psychology); Monetary economics; Quarter (Canadian coin); Business; Financial crisis; Economics; Financial system; Finance; Macroeconomics","score_opus":0.04750248235762196,"score_gpt":0.2635500171833619,"score_spread":0.21604753482573996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123266564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7595283,0.0011286142,0.000009625479,0.00021406652,0.0006231549,0.0005653671,0.00030469705,0.000049844464,0.23757635],"genre_scores_gemma":[0.96790195,0.028419938,0.0019741023,0.00009573801,0.00033844612,0.000046458725,0.00007850568,0.00015241426,0.0009924545],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99550444,0.00015085522,0.0012826691,0.0018377167,0.00006485968,0.0011594594],"domain_scores_gemma":[0.9976153,0.00032780328,0.00051964144,0.0011021282,0.000029160468,0.0004059911],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025987297,0.00060955004,0.0013181079,0.0010611037,0.0002804706,0.0004800431,0.0006421857,0.0009170838,0.000541518],"category_scores_gemma":[0.0003788003,0.0007517799,0.0001703947,0.00012706566,0.0006515109,0.00030218734,0.0017552549,0.002160301,0.000015537147],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007601996,0.00027492686,0.5545916,0.0012352334,0.00053882855,0.00011280516,0.0027864848,0.0023087552,0.000016002885,0.00848109,0.0006184738,0.42827561],"study_design_scores_gemma":[0.0024857179,0.00024509677,0.61589795,0.00039189696,0.00003632331,0.000066244014,0.000411381,0.10141346,0.000040270334,0.25600293,0.020323707,0.002685037],"about_ca_topic_score_codex":0.0007698649,"about_ca_topic_score_gemma":0.000652998,"teacher_disagreement_score":0.4255906,"about_ca_system_score_codex":0.00056136417,"about_ca_system_score_gemma":0.00012997336,"threshold_uncertainty_score":0.9994933},"labels":[],"label_agreement":null},{"id":"W3123281294","doi":"","title":"Peers’ Income and Financial Distress: Evidence from Lottery Winners and Neighboring Bankruptcies","year":2018,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Alberta Gambling Research Institute, University of Calgary; Industry Canada; University of Alberta; Social Sciences and Humanities Research Council of Canada; Government of Canada","keywords":"Lottery; Bankruptcy; Financial distress; Debt; Liberian dollar; Business; Monetary economics; Financial system; Economics; Actuarial science; Finance; Microeconomics","score_opus":0.04870742485720086,"score_gpt":0.2808354998330151,"score_spread":0.23212807497581422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123281294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9654464,0.0019265692,0.000025147523,0.0004452667,0.0011216996,0.00047395527,0.00049274415,0.00005092368,0.030017255],"genre_scores_gemma":[0.94434124,0.053068712,0.0010463346,0.00008316572,0.0007957369,0.000100244,0.00006735719,0.00010092399,0.00039628358],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99550444,0.00010852959,0.0014175817,0.0018789512,0.00008144889,0.0010090242],"domain_scores_gemma":[0.9969993,0.0009272583,0.00056166435,0.0011277287,0.00006367483,0.00032034787],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0027456903,0.000544201,0.0012237089,0.00078423007,0.00031464535,0.0007342146,0.0007729808,0.00071350526,0.00018456686],"category_scores_gemma":[0.0015413417,0.0007086473,0.00016522741,0.00014414523,0.000971631,0.0005160564,0.0023950709,0.001470547,0.000049631766],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027207177,0.00009341265,0.89421344,0.0004818151,0.00014930534,0.00004546891,0.0029446657,0.0006269814,0.000022489026,0.0016979867,0.00015446941,0.0992979],"study_design_scores_gemma":[0.0023194293,0.0003240472,0.82359886,0.0026255185,0.000037743295,0.000021267508,0.001109115,0.03904974,0.000083175415,0.09415004,0.033572476,0.00310857],"about_ca_topic_score_codex":0.0013261089,"about_ca_topic_score_gemma":0.00095114857,"teacher_disagreement_score":0.096189335,"about_ca_system_score_codex":0.0008604144,"about_ca_system_score_gemma":0.00020477317,"threshold_uncertainty_score":0.99953645},"labels":[],"label_agreement":null},{"id":"W3123287472","doi":"","title":"House Price, Stock Price and Consumption in South Africa: A Structural VAR Approach","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Treasury; Stock (firearms); House price; Quarter (Canadian coin); Stock price; Consumption (sociology); Monetary economics; Shock (circulatory); Econometrics; Autoregressive model; Inflation (cosmology); Vector autoregression; Inflation rate; Interest rate; Geography","score_opus":0.06342674469618817,"score_gpt":0.26940769242729323,"score_spread":0.20598094773110506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123287472","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8556738,0.0007955301,0.00003292822,0.00006953099,0.00044769485,0.001460851,0.00015190268,0.000083703155,0.14128405],"genre_scores_gemma":[0.9857834,0.009334408,0.0028072381,0.00004078468,0.00021494579,0.0004578376,0.000060589766,0.00018736959,0.0011134385],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9946369,0.00017205597,0.0017147919,0.0019571625,0.00008835951,0.0014307514],"domain_scores_gemma":[0.99725145,0.00034531846,0.00075990136,0.0012488081,0.000054537988,0.0003400093],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0031007945,0.0006019839,0.0014016908,0.0016981486,0.00019745491,0.00059667905,0.0008640129,0.00093464373,0.00022508108],"category_scores_gemma":[0.0004301205,0.0007675322,0.00019704748,0.0002452305,0.00043349745,0.00040551505,0.0014777123,0.0023792656,0.00015448306],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041344034,0.0005320705,0.878832,0.0019061724,0.00039127367,0.000041279807,0.019848963,0.020942805,0.000013861594,0.02029781,0.000192073,0.05658829],"study_design_scores_gemma":[0.005208582,0.0002456223,0.39700133,0.0004067143,0.000022852393,0.000041476615,0.002417844,0.5105431,0.000010398699,0.057524197,0.022844039,0.00373385],"about_ca_topic_score_codex":0.00026956134,"about_ca_topic_score_gemma":0.00013085527,"teacher_disagreement_score":0.48960027,"about_ca_system_score_codex":0.0016671569,"about_ca_system_score_gemma":0.00020491876,"threshold_uncertainty_score":0.9999223},"labels":[],"label_agreement":null},{"id":"W3123295773","doi":"10.1016/j.jhealeco.2008.10.013","title":"The value of a statistical life: A meta-analysis with a mixed effects regression model","year":2008,"lang":"en","type":"review","venue":"Journal of Health Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":195,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Centre interuniversitaire de recherche sur les reseaux d'entreprise, la logistique et le transport","keywords":"Meta-regression; Meta-analysis; Value (mathematics); Random effects model; Regression analysis; Econometrics; Foundation (evidence); Statistical model; Order (exchange); Regression; Wage; Statistics; Actuarial science; Economics; Psychology; Operations research; Mathematics; Political science; Medicine","score_opus":0.14420338234895436,"score_gpt":0.332169054869185,"score_spread":0.18796567252023066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123295773","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000105202605,0.9840353,0.013539521,0.00031956978,0.00040902532,0.00050934934,0.00031412093,0.0000069841035,0.00076092954],"genre_scores_gemma":[0.00034738673,0.98988056,0.009260329,0.0001555849,0.00012511018,0.000028382805,0.000023540577,0.00009218252,0.00008692955],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9931244,0.00030155445,0.0054459474,0.00048767452,0.00006867827,0.00057169737],"domain_scores_gemma":[0.9845617,0.0016108562,0.012576243,0.0007746012,0.00009168617,0.00038491414],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0037072257,0.00056936604,0.010265052,0.0009024547,0.00031050807,0.00010924996,0.0007554719,0.00031835967,0.000033602373],"category_scores_gemma":[0.00035908865,0.00036843857,0.0033917555,0.00039862562,0.00019172394,0.00021302252,0.00009751818,0.00077074807,0.000026735936],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039966195,0.0006203456,0.00019708973,0.017443728,0.31894645,0.00004515552,0.0006210587,0.03607567,4.1429944e-9,0.13791065,0.009404151,0.47833604],"study_design_scores_gemma":[0.0008576332,0.0006067059,0.00003077165,0.0006069938,0.04664202,0.00020465264,0.000027485725,0.027138071,1.00438164e-7,0.007838294,0.9152971,0.00075018196],"about_ca_topic_score_codex":0.0000797091,"about_ca_topic_score_gemma":0.000055217344,"teacher_disagreement_score":0.90589297,"about_ca_system_score_codex":0.0005885909,"about_ca_system_score_gemma":0.0017599359,"threshold_uncertainty_score":0.99987674},"labels":[],"label_agreement":null},{"id":"W3123344732","doi":"10.1257/0002828041464498","title":"The Role of Social Capital in Financial Development","year":2004,"lang":"en","type":"article","venue":"American Economic Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3137,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Social capital; Economics; Enforcement; Financial capital; Exploit; Economic capital; Finance; Demographic economics; Economic growth; Human capital; Political science","score_opus":0.010832970910986214,"score_gpt":0.21245746704942464,"score_spread":0.2016244961384384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123344732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83760184,0.026239173,0.000043710803,0.0014845069,0.00032874572,0.00041630457,0.00002366397,0.000020916037,0.13384114],"genre_scores_gemma":[0.9559323,0.04309621,0.00039924297,0.00036193166,0.00008264076,0.00005076806,0.0000066944026,0.000022277489,0.000047905625],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983096,0.000015098315,0.0010739913,0.0002780728,0.000014399426,0.00030881152],"domain_scores_gemma":[0.9989777,0.0000402349,0.00070450705,0.00022563458,0.000007753604,0.00004417438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077356095,0.00014543622,0.00067509717,0.00007864554,0.000111283494,0.00002529571,0.0003150475,0.000033948178,0.00008726606],"category_scores_gemma":[0.000062331295,0.00014816065,0.00014232408,0.00012101811,0.00020917332,0.000111921145,0.00006395787,0.0001101801,0.0007092619],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002202622,0.00008486395,0.021525448,0.00016469897,0.000049190643,0.000001467729,0.0016314358,0.00009171583,0.0000026621058,0.29812247,0.00040863996,0.67789537],"study_design_scores_gemma":[0.0004765872,0.0000466078,0.045371957,0.00014998691,0.000006266264,0.0000039383785,0.00027000828,0.000035505258,0.000052771513,0.026344836,0.9268447,0.000396819],"about_ca_topic_score_codex":0.0005474952,"about_ca_topic_score_gemma":0.00079640164,"teacher_disagreement_score":0.92643607,"about_ca_system_score_codex":0.00044210025,"about_ca_system_score_gemma":0.00018696037,"threshold_uncertainty_score":0.91163635},"labels":[],"label_agreement":null},{"id":"W3123363822","doi":"","title":"Trust and the Choice Between Housing and Financial Assets: Evidence from Spanish Households","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Portfolio; Real estate; Survey data collection; Social trust; Business; Stock (firearms); Affect (linguistics); Finance; Stock market; Economics; Financial economics; Actuarial science; Social capital","score_opus":0.06482385813196025,"score_gpt":0.28984522139704183,"score_spread":0.2250213632650816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123363822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9734815,0.0017106014,0.000027056993,0.0012510344,0.00093368994,0.00086828234,0.00044593963,0.000055578996,0.021226332],"genre_scores_gemma":[0.9475804,0.0494831,0.00095322984,0.00016136235,0.0012979254,0.00013079989,0.000049031987,0.00012921393,0.00021495286],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9954278,0.00021202007,0.0014802348,0.0017789763,0.00009054028,0.0010104589],"domain_scores_gemma":[0.994287,0.003197031,0.000719965,0.0014489137,0.000053167885,0.0002939288],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0059821107,0.00054663804,0.0015445007,0.00045175865,0.00050720235,0.0011076876,0.0010759828,0.0011557196,0.00009164705],"category_scores_gemma":[0.0032596278,0.0005871014,0.00022097067,0.00015087507,0.0013356766,0.00042980828,0.002245512,0.0036093097,0.000025213174],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002270061,0.00006010815,0.8192828,0.00018414146,0.00014382566,0.000013502072,0.0013290348,0.00040487168,0.000009685884,0.00254888,0.0001071731,0.17568892],"study_design_scores_gemma":[0.0043405355,0.000114412505,0.79079914,0.0007497162,0.00006621452,0.000010229495,0.0002777666,0.022804912,0.000042383293,0.10594972,0.072820164,0.0020248005],"about_ca_topic_score_codex":0.0042966073,"about_ca_topic_score_gemma":0.0035797972,"teacher_disagreement_score":0.17366412,"about_ca_system_score_codex":0.000542562,"about_ca_system_score_gemma":0.00031273448,"threshold_uncertainty_score":0.99992925},"labels":[],"label_agreement":null},{"id":"W3123374848","doi":"","title":"Default Effects and Follow-On Behavior: Evidence from an Electricity Pricing Program","year":2017,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Default; Electricity; Consumption (sociology); Context (archaeology); Revenue; Opt-in email; Business; Opt-out; Population; Economics; Electricity pricing; Microeconomics; Actuarial science; Electricity market; Advertising; Finance; Computer science; Engineering; Demography","score_opus":0.06826436017388055,"score_gpt":0.34263793139389304,"score_spread":0.2743735712200125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123374848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94454837,0.00089350174,0.000010398201,0.00017989508,0.000990414,0.002052472,0.00012440185,0.00012076641,0.05107981],"genre_scores_gemma":[0.97096056,0.025447514,0.0015254036,0.00007645065,0.00047145956,0.0009110435,0.00009479632,0.00015696613,0.00035580515],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9946983,0.0002076437,0.0012536168,0.0024059222,0.00010931203,0.0013252409],"domain_scores_gemma":[0.9950337,0.0011034702,0.0008966963,0.0024512913,0.00007214174,0.0004427406],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0036072002,0.0006371845,0.0014670043,0.0009513051,0.000560339,0.0012288607,0.0014991118,0.00097410183,0.00005207154],"category_scores_gemma":[0.0019066208,0.0008204834,0.00028116954,0.000114838214,0.000376455,0.00058331876,0.0012793585,0.002467184,0.0000729632],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023718951,0.00060702645,0.32157248,0.00028034177,0.00013298466,0.00007727193,0.0006188953,0.0008185233,0.000040462128,0.0006608082,0.00003974738,0.67491424],"study_design_scores_gemma":[0.0035808575,0.0021807563,0.79468954,0.0023407545,0.00009227127,0.000019319443,0.00019029557,0.12695177,0.0005002414,0.048325345,0.017176297,0.0039525456],"about_ca_topic_score_codex":0.0025476813,"about_ca_topic_score_gemma":0.0013838807,"teacher_disagreement_score":0.67096174,"about_ca_system_score_codex":0.0015196534,"about_ca_system_score_gemma":0.00028568282,"threshold_uncertainty_score":0.9998342},"labels":[],"label_agreement":null},{"id":"W3123421377","doi":"","title":"Is the Canadian Housing Market Overvalued? A Post-crisis Assessment","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Quarter (Canadian coin); House price; Monetary economics; Geography","score_opus":0.04645039393861531,"score_gpt":0.3033978931954959,"score_spread":0.2569474992568806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123421377","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14362678,0.00043639023,0.000008316102,0.0125633,0.001310212,0.0012287302,0.0007197777,0.00005175436,0.84005475],"genre_scores_gemma":[0.9748342,0.015935602,0.0015883691,0.0038303416,0.0006120244,0.00019974787,0.000110886824,0.00019834397,0.002690476],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9939404,0.00027015083,0.001780982,0.0018829324,0.00014705343,0.0019784954],"domain_scores_gemma":[0.9957224,0.00041218055,0.0006992092,0.002437516,0.0001509583,0.0005777496],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007985066,0.0006668759,0.0012865309,0.0016533105,0.0009163439,0.0014027737,0.0018907328,0.0010158014,0.0019032015],"category_scores_gemma":[0.00038885654,0.00075604673,0.000592415,0.00031563008,0.000341554,0.00027692187,0.0010400678,0.0033159899,0.00021469685],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005100893,0.0011355572,0.29420435,0.0009953757,0.0018763464,0.00037593712,0.006886295,0.02153108,0.000009212764,0.06697423,0.05838596,0.54711556],"study_design_scores_gemma":[0.0016079638,0.00023917033,0.16144536,0.0003707719,0.000038733568,0.000027617221,0.0017351952,0.10802052,0.000013339435,0.13044424,0.59327835,0.0027787217],"about_ca_topic_score_codex":0.09299176,"about_ca_topic_score_gemma":0.24782178,"teacher_disagreement_score":0.83736426,"about_ca_system_score_codex":0.0072060386,"about_ca_system_score_gemma":0.0022097474,"threshold_uncertainty_score":0.99963385},"labels":[],"label_agreement":null},{"id":"W3123551065","doi":"","title":"School Quality, Neighborhoods and Housing Prices: The Impacts of school Desegregation","year":2005,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Desegregation; Quarter (Canadian coin); Demographic economics; Quality (philosophy); School district; Population; House price; Economics; Geography; Agricultural economics; Demography; Sociology; Econometrics; Mathematics education; Psychology","score_opus":0.07228429809749083,"score_gpt":0.3323628120601325,"score_spread":0.2600785139626417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123551065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79602945,0.0012728777,0.000039788123,0.00090029667,0.00043320452,0.00086455466,0.00013253617,0.000037841593,0.20028944],"genre_scores_gemma":[0.96168774,0.03551179,0.0015002862,0.00015775829,0.0005261467,0.000092135655,0.00004029031,0.000107062675,0.00037677836],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99546623,0.00019934558,0.0021101222,0.0011687818,0.00010891813,0.0009465969],"domain_scores_gemma":[0.9959836,0.0007612654,0.0012883233,0.0014807275,0.0001092388,0.0003768585],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0072812177,0.0004489869,0.0011701493,0.00095019914,0.0002759793,0.0005309856,0.0009868209,0.0006682128,0.0002964199],"category_scores_gemma":[0.0022402096,0.00047578034,0.00026639787,0.00025531912,0.00050352816,0.00042815538,0.0014039145,0.001930583,0.00006275127],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035260926,0.00041380175,0.71966696,0.0011478774,0.00048292574,0.000008403873,0.0017638317,0.014788825,0.00007334617,0.028888905,0.00020410104,0.23220842],"study_design_scores_gemma":[0.004239089,0.00033671095,0.74418145,0.001205265,0.00005279433,0.000025782398,0.002586905,0.073877946,0.00029515394,0.12715739,0.042958483,0.0030830265],"about_ca_topic_score_codex":0.0011376394,"about_ca_topic_score_gemma":0.0011808795,"teacher_disagreement_score":0.22912538,"about_ca_system_score_codex":0.0015261763,"about_ca_system_score_gemma":0.0006093117,"threshold_uncertainty_score":0.9997694},"labels":[],"label_agreement":null},{"id":"W3123631983","doi":"10.24149/gwp79","title":"Low Interest Rates and Housing Booms: the Role of Capital Inflows, Monetary Policy and Financial Innovation","year":2011,"lang":"en","type":"article","venue":"Federal Reserve Bank of Dallas, Globalization and Monetary Policy Institute Working Papers","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Economics; Securitization; Monetary policy; Interest rate; Monetary economics; Boom; Investment (military); Capital (architecture); Capital market; Financial system; Finance","score_opus":0.03559943657304812,"score_gpt":0.2345834912746781,"score_spread":0.19898405470162997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123631983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96535814,0.0015911302,0.00008588049,0.00041861358,0.00016726926,0.0002207581,0.000058785754,0.00002280376,0.032076623],"genre_scores_gemma":[0.99538213,0.0034073542,0.00040603176,0.00047352468,0.00019726268,0.0000049896053,0.00006482412,0.00001979766,0.00004407726],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99854064,0.000031316373,0.00075706985,0.00033398953,0.000049406943,0.0002875719],"domain_scores_gemma":[0.9991412,0.000035443805,0.0004840441,0.00022023902,0.00003997541,0.000079106416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034108938,0.00022541596,0.00040268587,0.00042029063,0.00026268626,0.00010417763,0.00017204302,0.00015334162,0.000014568475],"category_scores_gemma":[0.00038175387,0.00022656347,0.000053258093,0.00050121156,0.00039436805,0.00036435778,0.00016955657,0.00012280031,0.0000016435902],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024783565,0.00007978009,0.45847383,0.00014983419,0.00012049581,0.000002693182,0.003362557,0.0005983833,0.00028498902,0.5038822,0.000090979825,0.032706432],"study_design_scores_gemma":[0.0033628163,0.0004893288,0.79200476,0.0006653672,0.00006503969,0.000041085088,0.0011671945,0.013593052,0.0013402865,0.10636189,0.079533435,0.0013757525],"about_ca_topic_score_codex":0.010966491,"about_ca_topic_score_gemma":0.0032287845,"teacher_disagreement_score":0.3975203,"about_ca_system_score_codex":0.00006981601,"about_ca_system_score_gemma":0.00008781795,"threshold_uncertainty_score":0.9956196},"labels":[],"label_agreement":null},{"id":"W3123680630","doi":"10.1080/00036846.2014.967380","title":"Skyscraper height and the business cycle: separating myth from reality","year":2014,"lang":"en","type":"article","venue":"Applied Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business cycle; Cointegration; Economics; Granger causality; Competition (biology); China; Econometrics; Macroeconomics; Geography","score_opus":0.0138190798573442,"score_gpt":0.18208915346124782,"score_spread":0.1682700736039036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123680630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.624928,0.00017283234,0.0030649723,0.0023601728,0.00048550987,0.00026402925,0.000073703646,0.000067653484,0.36858314],"genre_scores_gemma":[0.99478215,0.00095813774,0.00125919,0.002146695,0.000551663,0.000049189566,0.000056203782,0.000056050532,0.00014072971],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980841,0.000024896754,0.00083036465,0.0006610251,0.000014866931,0.0003846894],"domain_scores_gemma":[0.9983534,0.00036188704,0.0004908594,0.00066953,0.000015867652,0.000108440254],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013353268,0.0002699594,0.00070787227,0.00007959091,0.00034791834,0.00030231694,0.00033927182,0.00017151437,0.0001844679],"category_scores_gemma":[0.00007534014,0.00026460298,0.00009507555,0.00010220561,0.00027233444,0.00022314415,0.0001741852,0.0002014088,0.00054588256],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014072932,0.000032687585,0.005299479,0.000016916798,0.00010114424,1.8403752e-7,0.00073915266,0.0020112987,0.000004828361,0.97330534,0.00097360805,0.017374644],"study_design_scores_gemma":[0.0037843257,0.00001282507,0.027416386,0.000008503231,0.0000295654,0.000004243445,0.0001797828,0.0670262,0.000039396768,0.72237056,0.17834935,0.00077888323],"about_ca_topic_score_codex":0.00090567797,"about_ca_topic_score_gemma":0.00021223133,"teacher_disagreement_score":0.36985415,"about_ca_system_score_codex":0.000091396716,"about_ca_system_score_gemma":0.000019344017,"threshold_uncertainty_score":0.9999806},"labels":[],"label_agreement":null},{"id":"W3123708428","doi":"","title":"Volatility Clustering, Risk-Return Relationship and Asymmetric Adjustment in Canadian Housing Markets","year":2014,"lang":"en","type":"article","venue":"ANU Open Research (Australian National University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Volatility clustering; Heteroscedasticity; Economics; Econometrics; Autoregressive model; Stock (firearms); Portfolio; Financial economics; Autoregressive conditional heteroskedasticity; Geography","score_opus":0.11829652772572052,"score_gpt":0.29937028668531523,"score_spread":0.1810737589595947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123708428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5647654,0.000026023054,0.00008407598,0.0018393343,0.000108031905,0.00039684205,0.00011061372,0.000011228169,0.43265846],"genre_scores_gemma":[0.9911604,0.00013376655,0.00078689854,0.000045470868,0.000051286712,0.0000022065224,0.000034637476,0.000013448615,0.007771863],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99836284,0.00022895148,0.00029835323,0.0004750483,0.000096391064,0.000538412],"domain_scores_gemma":[0.99873424,0.00040630385,0.00013434257,0.00026730637,0.0001157416,0.0003420806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052485494,0.00011719615,0.00022319716,0.0018518697,0.00042852896,0.00026011633,0.00062657555,0.0001464179,0.00025921754],"category_scores_gemma":[0.0015362256,0.00016526745,0.000039669256,0.0012300974,0.00011932537,0.00074672693,0.00033608524,0.0004556037,0.00011106795],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052066345,0.000037116555,0.9159032,0.00001559185,0.000017582037,0.000007453074,0.00014175303,0.00010427436,3.1099785e-7,0.07771355,0.0034743883,0.0025327061],"study_design_scores_gemma":[0.0007328601,0.00003408063,0.7873839,0.000018229706,0.0000024076962,0.0000014304215,0.000113104295,0.017310038,0.0000018432739,0.025185535,0.16902803,0.00018854864],"about_ca_topic_score_codex":0.27165726,"about_ca_topic_score_gemma":0.26529482,"teacher_disagreement_score":0.42639503,"about_ca_system_score_codex":0.0014668256,"about_ca_system_score_gemma":0.00024277676,"threshold_uncertainty_score":0.7481116},"labels":[],"label_agreement":null},{"id":"W3123750532","doi":"","title":"Gentrification and Neighborhood Housing Cycles: Will America's Future Downtowns be Rich?","year":2005,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto; Syracuse University; John D. and Catherine T. MacArthur Foundation","keywords":"Gentrification; Redevelopment; Stock (firearms); Downtown; Central city; Geography; Demographic economics; Economic geography; Low income; Economic growth; Economics; Political science","score_opus":0.030903229363274477,"score_gpt":0.27320588675494006,"score_spread":0.2423026573916656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123750532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56799036,0.0027812824,0.000120626864,0.005142691,0.0016980343,0.0013480631,0.00052729395,0.00016052886,0.42023113],"genre_scores_gemma":[0.863832,0.1297495,0.0023568226,0.00044830664,0.0019946715,0.00018699229,0.00025102872,0.0002025561,0.0009781197],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99480116,0.00013347653,0.0017033075,0.0019709705,0.000097960045,0.0012931428],"domain_scores_gemma":[0.99681056,0.00029500644,0.0008971279,0.0015364583,0.00008101118,0.00037986145],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021787365,0.00062202814,0.0013035046,0.0012888473,0.00036190744,0.0006395771,0.0009069442,0.00094493077,0.0003721207],"category_scores_gemma":[0.00030615885,0.0008248444,0.00026928465,0.00028255893,0.00043681878,0.0004907333,0.0010418654,0.002085383,0.0000817767],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020130689,0.00054165564,0.08772602,0.00040968775,0.0003719249,0.000030580228,0.0032672253,0.012003317,0.00002782408,0.017050125,0.0005216945,0.8778486],"study_design_scores_gemma":[0.0028563943,0.00021921896,0.055382207,0.0003054864,0.000047850168,0.000034597062,0.0036911312,0.11872174,0.00004385777,0.0434225,0.7717699,0.0035051494],"about_ca_topic_score_codex":0.00026158098,"about_ca_topic_score_gemma":0.00031465458,"teacher_disagreement_score":0.8743435,"about_ca_system_score_codex":0.0017726147,"about_ca_system_score_gemma":0.00027795092,"threshold_uncertainty_score":0.9994202},"labels":[],"label_agreement":null},{"id":"W3123757249","doi":"10.3138/cpp.37.4.435","title":"The Impact of Sub-Metering on Condominium Electricity Demand","year":2011,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Wilfrid Laurier University; University of Toronto","funders":"","keywords":"Metering mode; Electricity; Net metering; Apartment; Externality; Environmental economics; Business; Natural resource economics; Agricultural economics; Economics; Engineering; Microeconomics; Distributed generation; Civil engineering; Renewable energy; Electrical engineering","score_opus":0.049181922719151436,"score_gpt":0.22742517124761796,"score_spread":0.1782432485284665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123757249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6762676,0.00010581631,0.000036907662,0.0005400062,0.00013367063,0.00010116186,0.00010185899,0.000013058231,0.3226999],"genre_scores_gemma":[0.99908084,0.00022773263,0.00001724837,0.00028227593,0.00013618398,0.000009635531,0.0000046876894,0.000023721597,0.000217664],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986941,0.000019066609,0.00040643953,0.0002105007,0.000014975762,0.0006549005],"domain_scores_gemma":[0.99874663,0.00007630262,0.00023178634,0.00039185717,0.000026011527,0.0005274237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006814829,0.00013623547,0.0002771895,0.0006983704,0.00023064151,0.000099363584,0.00036613923,0.00009423301,0.00021973594],"category_scores_gemma":[0.0005982286,0.00012570206,0.00016643506,0.00037174238,0.00010204353,0.00015794806,0.000023883456,0.0001257509,0.00017448812],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000656652,0.000054310945,0.10661667,0.000012117317,0.00022242904,0.0000061507944,0.0006361599,0.000017890614,0.00002922822,0.8590905,0.009278855,0.023970027],"study_design_scores_gemma":[0.0028835228,0.00088274473,0.6270498,0.00001957076,0.00001468473,0.00004880272,0.000095260715,0.0055206637,0.001166433,0.17980944,0.18099292,0.0015161472],"about_ca_topic_score_codex":0.305493,"about_ca_topic_score_gemma":0.07551068,"teacher_disagreement_score":0.67928106,"about_ca_system_score_codex":0.00083156925,"about_ca_system_score_gemma":0.0010527498,"threshold_uncertainty_score":0.94135886},"labels":[],"label_agreement":null},{"id":"W3123840508","doi":"","title":"The Decline of the Immigrant Homeownership Advantage: Life-cycle, Declining Fortunes and Changing Housing Careers in Montreal, Toronto and Vancouver, 1981-2001","year":2005,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Immigration; Demographic economics; Economics; Popularity; Labour economics; Geography; Political science","score_opus":0.030321881732442824,"score_gpt":0.2754300196154108,"score_spread":0.24510813788296798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123840508","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9560407,0.0067821625,0.0000071618024,0.0006651855,0.0010522146,0.0008200414,0.00010753972,0.000020938647,0.03450408],"genre_scores_gemma":[0.8780214,0.12070358,0.00028168582,0.00013133796,0.00025641505,0.00008604452,0.000010236742,0.00008598461,0.00042328602],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9957335,0.00015422792,0.0016990623,0.0010667467,0.0000962462,0.0012501891],"domain_scores_gemma":[0.9966691,0.0011527403,0.00084126426,0.0010507331,0.000051991723,0.00023417921],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0059859427,0.00044474113,0.0011075226,0.00052570965,0.00042977527,0.0002810824,0.00085472094,0.0004720215,0.000029703544],"category_scores_gemma":[0.0010369724,0.00040579442,0.00022455392,0.00019259298,0.00055970286,0.00031084742,0.0019969705,0.0011679287,0.0000015866432],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042851872,0.00016033527,0.39859024,0.0004226927,0.00022383555,0.00001395954,0.005297872,0.017800286,0.000006277077,0.0013651104,0.00013250024,0.57555836],"study_design_scores_gemma":[0.008645353,0.00035159916,0.33181727,0.0021716936,0.0000886933,0.00002885944,0.053714164,0.49105492,0.000059762995,0.042930406,0.06529498,0.0038423094],"about_ca_topic_score_codex":0.01004138,"about_ca_topic_score_gemma":0.42463225,"teacher_disagreement_score":0.57171607,"about_ca_system_score_codex":0.0010965179,"about_ca_system_score_gemma":0.0002523464,"threshold_uncertainty_score":0.99983937},"labels":[],"label_agreement":null},{"id":"W3123847074","doi":"","title":"The Neighborhood Effect of Real Estate Maintenance","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Subsidy; Externality; Real estate; Loan; Investment (military); Microeconomics; Value (mathematics); Land Values; Business; Economics; Finance; Market economy; Land use","score_opus":0.00570763867964124,"score_gpt":0.19446769332870223,"score_spread":0.18876005464906098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123847074","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80841464,0.00137236,0.004656502,0.0011523471,0.0007136445,0.0001658517,0.000008361203,0.000026314638,0.18348998],"genre_scores_gemma":[0.93218255,0.06709143,0.00003284475,0.00001686685,0.00014429135,0.000003830899,0.0000011326988,0.000025663943,0.0005013773],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976476,0.000026460359,0.0005655999,0.00018275583,0.000032137737,0.0015454721],"domain_scores_gemma":[0.99909675,0.00009714292,0.0004861572,0.00023584347,0.000023330911,0.000060765702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035201022,0.00014283077,0.00031983526,0.000085111256,0.00026345486,0.000073591415,0.00035733794,0.00006384914,0.000016553691],"category_scores_gemma":[0.00012702968,0.00011228584,0.0001852558,0.00012964381,0.00008585086,0.00016677789,0.00003345552,0.00080135005,0.00010869575],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000171649,0.000029124574,0.01620361,0.0000089746145,0.00017246432,0.0000025331165,0.0001655787,0.00043486315,0.00001542798,0.9052605,0.00004443693,0.07749084],"study_design_scores_gemma":[0.0023438064,0.00091601635,0.0023922746,0.000020737214,0.000019426014,0.00017631483,0.0002325389,0.00033275614,0.00013908508,0.98481303,0.008346623,0.00026736173],"about_ca_topic_score_codex":0.00033513474,"about_ca_topic_score_gemma":0.0007649479,"teacher_disagreement_score":0.1829886,"about_ca_system_score_codex":0.0008912984,"about_ca_system_score_gemma":0.00037915263,"threshold_uncertainty_score":0.45788836},"labels":[],"label_agreement":null},{"id":"W3123865009","doi":"10.2139/ssrn.1800685","title":"Chi-Squared Tests for Evaluation and Comparison of Asset Pricing Models","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Capital asset pricing model; Model selection; Cover (algebra); Selection (genetic algorithm); Measure (data warehouse); Computer science; Asset (computer security); Limiting; Sample (material); Econometrics; Linear model; Nonlinear system; Statistical hypothesis testing; Mathematics; Statistics; Data mining; Artificial intelligence; Machine learning; Engineering","score_opus":0.06253218870652258,"score_gpt":0.29927791708854795,"score_spread":0.23674572838202537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123865009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93323314,0.00761282,0.05260703,0.00012802254,0.00029030192,0.0002386658,0.000010650902,0.000008994346,0.0058703534],"genre_scores_gemma":[0.9977393,0.0012082759,0.0007485136,0.000015264757,0.0001955114,0.00000881716,0.000008066189,0.000019762487,0.000056450044],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983005,0.00001904896,0.0005275122,0.00013198919,0.00003427123,0.0009866797],"domain_scores_gemma":[0.9992315,0.000059400303,0.00049194583,0.00010642338,0.000048895865,0.000061801045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004468529,0.00009771464,0.00031161803,0.00015476825,0.00012279168,0.00003763529,0.00009700213,0.00007044846,0.000015454792],"category_scores_gemma":[0.00012358189,0.00011129346,0.00007468667,0.00006970501,0.000020228694,0.00044442134,0.0000180747,0.00032582754,0.0000061890314],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008403392,0.00018739261,0.2745215,0.000035115063,0.00017664045,2.1424128e-8,0.0014344624,0.0025865396,0.00004948205,0.67055714,0.00016013757,0.050207566],"study_design_scores_gemma":[0.0015880346,0.00023332775,0.008991072,0.000015565587,0.000042015083,0.000024816549,0.000720786,0.2494853,0.000057846675,0.7375365,0.0010726117,0.00023210299],"about_ca_topic_score_codex":0.000031295116,"about_ca_topic_score_gemma":0.00011176303,"teacher_disagreement_score":0.2655304,"about_ca_system_score_codex":0.00048810538,"about_ca_system_score_gemma":0.00018545645,"threshold_uncertainty_score":0.45384157},"labels":[],"label_agreement":null},{"id":"W3123914291","doi":"10.24149/gwp208","title":"No Price Like Home: Global House Prices, 1870–2012","year":2014,"lang":"en","type":"preprint","venue":"Federal Reserve Bank of Dallas, Globalization and Monetary Policy Institute Working Papers","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Volkswagen Foundation; York University","keywords":"Economics; Agricultural economics; House price; Natural resource economics; Land use; Economy; Business; Market economy; Monetary economics","score_opus":0.02923981006119754,"score_gpt":0.24495130524746522,"score_spread":0.21571149518626767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123914291","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24243742,0.0074579194,0.0032678386,0.0018414552,0.0073736673,0.0014028264,0.00086210086,0.0005749795,0.7347818],"genre_scores_gemma":[0.9781931,0.013916818,0.0030399486,0.0016080801,0.001179213,0.00003367435,0.0006571787,0.00010917127,0.0012628216],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960965,0.00007156927,0.0016051925,0.0012166942,0.00017641792,0.0008336076],"domain_scores_gemma":[0.9969611,0.000050899784,0.0015341785,0.0009697666,0.00009969022,0.00038433794],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00073088,0.0007254456,0.0013392225,0.0004180151,0.00038237878,0.0005382909,0.00086826837,0.0007925503,0.00011864539],"category_scores_gemma":[0.00035895416,0.0008947217,0.00035692655,0.00051486073,0.00032759787,0.00040164858,0.0009753882,0.0004586485,0.00013389773],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079450005,0.0005074817,0.48806366,0.0026940105,0.0015293286,0.000033246815,0.0007566696,0.079959,0.000016375809,0.38077778,0.02807145,0.01679649],"study_design_scores_gemma":[0.0015672226,0.0001147792,0.048963238,0.0005293313,0.00005789697,0.000016384807,0.0000186707,0.009605964,0.000002508497,0.010584129,0.9271708,0.0013690898],"about_ca_topic_score_codex":0.009115481,"about_ca_topic_score_gemma":0.0029082322,"teacher_disagreement_score":0.89909935,"about_ca_system_score_codex":0.00067587744,"about_ca_system_score_gemma":0.00031973294,"threshold_uncertainty_score":0.99935037},"labels":[],"label_agreement":null},{"id":"W3123923600","doi":"","title":"The data sensitivity of UK office and retail supply forecasts","year":2001,"lang":"en","type":"article","venue":"ERES eBooks","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Strengths and weaknesses; Econometrics; Sensitivity (control systems); Time series; Business; Operations research; Economics; Computer science; Engineering; Geography","score_opus":0.06682109849207582,"score_gpt":0.22315776953668734,"score_spread":0.15633667104461152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123923600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6946905,0.00033329637,0.0002448953,0.00020581867,0.00019919279,0.00009354911,0.000115120005,0.000014098334,0.30410352],"genre_scores_gemma":[0.99558645,0.00031366304,0.00023419117,0.0000557874,0.000082140374,0.000001770957,0.00001395368,0.000014239543,0.0036978074],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99916893,0.000020893025,0.0003257623,0.00026613916,0.000016308564,0.00020194195],"domain_scores_gemma":[0.9988734,0.00023079388,0.00019317026,0.0006424772,0.00001400913,0.00004616162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011823875,0.000091286194,0.00021810205,0.00004615728,0.0001438335,0.000069740716,0.00021338361,0.00005592501,0.0000509591],"category_scores_gemma":[0.00014431003,0.00008622945,0.00003339397,0.000026074196,0.00013432441,0.00007931145,0.00021733357,0.00008787526,0.000038717386],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034507635,0.000050214538,0.23385496,0.000054554705,0.00017143149,0.00002779765,0.0008912639,0.00001580701,0.00013439415,0.101736166,0.0113456985,0.6513726],"study_design_scores_gemma":[0.0006576209,0.000058622565,0.039980635,0.000022877832,0.000013937184,0.000053193402,0.00013421549,0.026579535,0.00021854982,0.018524611,0.91339517,0.00036105368],"about_ca_topic_score_codex":0.00044791607,"about_ca_topic_score_gemma":0.0018206071,"teacher_disagreement_score":0.9020494,"about_ca_system_score_codex":0.000016928636,"about_ca_system_score_gemma":0.000014701095,"threshold_uncertainty_score":0.35163346},"labels":[],"label_agreement":null},{"id":"W3123972704","doi":"","title":"Gauging Housing Supply in Canada; A Stock Approach","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Economics; Econometrics; Public housing; Business; Geography; Economic growth","score_opus":0.06624992270893296,"score_gpt":0.27076577030273274,"score_spread":0.2045158475937998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123972704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5705421,0.0004910264,0.000015999904,0.00026523415,0.00092782255,0.0008033049,0.00029027145,0.000032061776,0.42663217],"genre_scores_gemma":[0.991112,0.005561827,0.0015749851,0.00012687207,0.00034295925,0.00024739502,0.0002070218,0.00019336549,0.00063359225],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9938759,0.00017694627,0.0020697662,0.0019131141,0.00013042905,0.0018337945],"domain_scores_gemma":[0.9969882,0.0003112088,0.00065832026,0.0015255315,0.000083119776,0.00043363927],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0054754843,0.00060634804,0.0016821632,0.0016328512,0.00015766718,0.00037002616,0.0013243443,0.00063148176,0.00022957355],"category_scores_gemma":[0.0005832589,0.000864437,0.0002157852,0.0003527906,0.00019671008,0.00026412203,0.0015817059,0.002905621,0.000041638483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023124191,0.0003731928,0.65714324,0.00057969213,0.00017031404,0.00014779805,0.0015349755,0.16124377,0.0000028904178,0.003414836,0.0010001487,0.17415787],"study_design_scores_gemma":[0.0052399444,0.00014516934,0.10082622,0.0008839296,0.00001834676,0.00004780269,0.0053851996,0.739252,0.00002190932,0.04792008,0.09524087,0.005018539],"about_ca_topic_score_codex":0.63178456,"about_ca_topic_score_gemma":0.81616324,"teacher_disagreement_score":0.57800823,"about_ca_system_score_codex":0.015191554,"about_ca_system_score_gemma":0.0047747903,"threshold_uncertainty_score":0.9993947},"labels":[],"label_agreement":null},{"id":"W3123977547","doi":"","title":"Ex-ante real estate Value at Risk calculation method","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Value at risk; Expected shortfall; Real estate; Portfolio; Market risk; Business; Actuarial science; Basel II; Ex-ante; Financial risk management; Financial economics; Risk management; Economics; Finance; Capital requirement; Microeconomics","score_opus":0.06686144450325117,"score_gpt":0.333842720028841,"score_spread":0.26698127552558987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123977547","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4322262,0.00012097725,0.00012194003,0.00018570009,0.0012047362,0.0007382616,0.00057248404,0.000081636295,0.56474805],"genre_scores_gemma":[0.69805104,0.26205045,0.020273251,0.00013742938,0.0016295892,0.00048263237,0.001049463,0.0006703803,0.015655741],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99343127,0.0005089618,0.0022202404,0.0022063463,0.00013106196,0.0015021374],"domain_scores_gemma":[0.9952396,0.00073751446,0.0013331878,0.0020245467,0.00014422146,0.0005209009],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.012313385,0.0006628248,0.0016527965,0.0013489785,0.00033606004,0.00038532968,0.0011211752,0.0010937081,0.00028000624],"category_scores_gemma":[0.0011059095,0.0008841062,0.0004888366,0.000250049,0.00030697684,0.0003033312,0.0022769473,0.0024032097,0.00058013684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006785947,0.00037382607,0.22436057,0.00038267346,0.0005492353,0.000081110804,0.003181624,0.28730598,0.000015654163,0.008254899,0.001380613,0.47343522],"study_design_scores_gemma":[0.0024699278,0.0001870631,0.027798044,0.00016146047,0.00003891661,0.000026737931,0.0003949315,0.67544746,0.000044588625,0.066982485,0.22426063,0.00218775],"about_ca_topic_score_codex":0.004243123,"about_ca_topic_score_gemma":0.0024681254,"teacher_disagreement_score":0.5490923,"about_ca_system_score_codex":0.005776672,"about_ca_system_score_gemma":0.0005219535,"threshold_uncertainty_score":0.9998983},"labels":[],"label_agreement":null},{"id":"W3123994210","doi":"","title":"House Valuations and Economic Growth: Some International Evidence","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Quarter (Canadian coin); House price; Monetary economics; Bankruptcy; Finance","score_opus":0.08716124114392051,"score_gpt":0.32133452176838806,"score_spread":0.23417328062446754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123994210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65856755,0.0014007617,0.000052304444,0.0068084,0.004955133,0.0011924936,0.00070951943,0.0001928907,0.32612094],"genre_scores_gemma":[0.89390737,0.1017931,0.0005896771,0.00018366268,0.0011426919,0.00030201557,0.000036910686,0.00018771844,0.0018568583],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9953919,0.00013049695,0.0016305285,0.0017953635,0.0000819943,0.0009697339],"domain_scores_gemma":[0.9967273,0.0010118457,0.0006816369,0.0011905411,0.00008332066,0.00030536746],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0043275193,0.00048545774,0.0009877146,0.0014461997,0.00023372074,0.00057473726,0.0012918682,0.0006469511,0.00055409037],"category_scores_gemma":[0.0012509514,0.00059744314,0.00026896203,0.000071405615,0.00050075195,0.0008781023,0.0019524638,0.0012026101,0.0005776676],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043648353,0.0004392635,0.43806693,0.00053562986,0.00090296287,0.000056672103,0.0017240151,0.0051091597,0.000057816636,0.34670657,0.0021842187,0.20378026],"study_design_scores_gemma":[0.0026395381,0.00018192921,0.066315815,0.0010749933,0.00002634747,0.000036545916,0.0002700361,0.056614023,0.000084035695,0.79651535,0.073613934,0.0026274682],"about_ca_topic_score_codex":0.0003347343,"about_ca_topic_score_gemma":0.00032354513,"teacher_disagreement_score":0.44980875,"about_ca_system_score_codex":0.0026927653,"about_ca_system_score_gemma":0.0004425801,"threshold_uncertainty_score":0.9996477},"labels":[],"label_agreement":null},{"id":"W3124033479","doi":"10.1023/a:1007819408669","title":"Embedded Options in the Mortgage Contract","year":2000,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":67,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of British Columbia; University of Pennsylvania","keywords":"Forbearance; Foreclosure; Business; Loss given default; Competition (biology); Collateral; Default; Mortgage underwriting; Finance; Actuarial science; Economics; Mortgage insurance; Microeconomics; Incentive","score_opus":0.02060604804988569,"score_gpt":0.21768049533890202,"score_spread":0.19707444728901632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124033479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.917129,0.00029866523,0.000019665233,0.0010582065,0.00016252871,0.00010663069,0.000027924008,0.0000040766076,0.081193335],"genre_scores_gemma":[0.78136474,0.21790794,0.00015613067,0.00024992632,0.00011084596,0.0000025148263,0.0000019452352,0.000013638392,0.00019231724],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99864614,0.000044911445,0.0008771613,0.00013928245,0.000016812673,0.00027569063],"domain_scores_gemma":[0.9989349,0.00019871198,0.0005361723,0.00027385692,0.0000145647755,0.00004179685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022610093,0.00014206958,0.0004027587,0.00010477682,0.00015521835,0.00010323434,0.0003891621,0.000068131405,0.00014572544],"category_scores_gemma":[0.000022070119,0.000106680134,0.000101710386,0.00009960794,0.0001220229,0.00045078073,0.000019447003,0.00031939446,0.000084541294],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013790365,0.0005462572,0.052000146,0.000058810056,0.00022998541,0.000100613805,0.036709182,0.08193157,0.00001284147,0.109336145,0.003203241,0.7144922],"study_design_scores_gemma":[0.004670405,0.00071562314,0.3937578,0.00009196019,0.000083534105,0.0010828129,0.0033033458,0.048618637,0.000023402186,0.084286995,0.46231365,0.0010518426],"about_ca_topic_score_codex":0.0005018738,"about_ca_topic_score_gemma":0.00038018244,"teacher_disagreement_score":0.71344036,"about_ca_system_score_codex":0.00006807169,"about_ca_system_score_gemma":0.00003808173,"threshold_uncertainty_score":0.43502894},"labels":[],"label_agreement":null},{"id":"W3124067355","doi":"10.1504/gber.2016.078669","title":"Parametric and non-parametric analysis of tax changes","year":2016,"lang":"en","type":"article","venue":"Global Business and Economics Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Australian Government","keywords":"Parametric statistics; Economics; Property tax; Public economics; Econometrics; Government (linguistics); Parametric model; Estimation; Sample (material); Residential property; Semiparametric model; Goods and services; Tax policy; Property value; Tax reform; Nonparametric statistics; Economy; Mathematics; Finance; Statistics; Economic geography","score_opus":0.02531870377105,"score_gpt":0.2276259690972214,"score_spread":0.2023072653261714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124067355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86593825,0.09829289,0.0024445942,0.003531075,0.00046792623,0.0005178925,0.0011253362,0.000032346565,0.027649717],"genre_scores_gemma":[0.52129984,0.47793016,0.00034221032,0.00030019844,0.00003320926,0.000014909794,0.000012889618,0.000012097433,0.000054467077],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9981339,0.000013823823,0.0008891205,0.00060275383,0.000019562514,0.00034083644],"domain_scores_gemma":[0.9984956,0.000115140465,0.0007410844,0.0004351773,0.00006278913,0.00015020628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007668279,0.00025926632,0.0014997618,0.0006270185,0.000067928435,0.000073280746,0.00020828743,0.00012365928,0.0001782527],"category_scores_gemma":[0.00026625526,0.00023094832,0.00016714654,0.002080824,0.00014190818,0.00026602056,0.00015542691,0.000045197252,0.00006306273],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003650022,0.0001081363,0.43736726,0.0018718208,0.0012606111,0.0000030666408,0.000019312509,0.00009463609,0.0000024709675,0.041161444,0.0007940019,0.51728076],"study_design_scores_gemma":[0.0018324114,0.00013602896,0.7226316,0.0011265656,0.0014838661,0.00004144072,0.000021160067,0.0035421317,0.000009170363,0.018174864,0.2493646,0.0016361721],"about_ca_topic_score_codex":0.00040754883,"about_ca_topic_score_gemma":0.000191408,"teacher_disagreement_score":0.51564455,"about_ca_system_score_codex":0.00012854744,"about_ca_system_score_gemma":0.000025039493,"threshold_uncertainty_score":0.94178},"labels":[],"label_agreement":null},{"id":"W3124149467","doi":"","title":"Competing Risks of Mortgage Termination: Who Refinances, Who Moves, and Who Defaults?","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Default; Loan-to-value ratio; Mortgage insurance; Value (mathematics); Mortgage underwriting; Shared appreciation mortgage; Property (philosophy); Actuarial science; Economics; Interest rate; Monetary economics; Business; Econometrics; Finance; Mathematics; Statistics; Insurance policy","score_opus":0.03696825348632023,"score_gpt":0.2375151229007702,"score_spread":0.20054686941445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124149467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89047545,0.013359723,0.0010942616,0.0005515937,0.00020729854,0.00010301842,0.000021961243,0.000021000827,0.09416571],"genre_scores_gemma":[0.9412497,0.05584295,0.00018315882,0.00007328641,0.00021977967,0.0000030835452,0.0000026211922,0.000034324,0.0023910678],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99754965,0.000032757576,0.00083101017,0.00032128312,0.00004818804,0.0012170933],"domain_scores_gemma":[0.99878496,0.00006514235,0.00079921004,0.00022604557,0.000040574072,0.000084083964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019487245,0.00019432062,0.0005540326,0.00024515102,0.00025931353,0.00011355082,0.00025832572,0.00012544954,0.00016548956],"category_scores_gemma":[0.000116178526,0.00022790149,0.00012449065,0.00017444622,0.0000954109,0.00041725676,0.000058255417,0.0009471766,0.000048773327],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058989302,0.00017246863,0.2471376,0.000093094866,0.000272425,0.000011566186,0.0018680589,0.00025343825,0.000022826824,0.55441976,0.000899123,0.19479065],"study_design_scores_gemma":[0.005306374,0.001048474,0.08784153,0.00042025253,0.0000839591,0.0009413779,0.002851185,0.06799404,0.00014150931,0.72925884,0.10219695,0.0019155159],"about_ca_topic_score_codex":0.00014678482,"about_ca_topic_score_gemma":0.0002478155,"teacher_disagreement_score":0.19287513,"about_ca_system_score_codex":0.0004290989,"about_ca_system_score_gemma":0.00008688561,"threshold_uncertainty_score":0.92935526},"labels":[],"label_agreement":null},{"id":"W3124159162","doi":"","title":"Housing Starts in Canada, Japan, and the United States: Do Forecasters Herd?","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Herding; Herd behavior; Herd; Economics; Consensus forecast; Financial economics; Natural experiment; Econometrics; Geography; Biology; Statistics","score_opus":0.013178434976956536,"score_gpt":0.181186352765808,"score_spread":0.16800791778885146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124159162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902853,0.0042953216,0.0005349132,0.0011210229,0.00036611053,0.00009993229,0.0000069485836,0.0000055585456,0.0032849363],"genre_scores_gemma":[0.98927045,0.010006362,0.000026526315,0.0003983466,0.00014288291,0.0000030014114,0.0000046723294,0.000025664654,0.00012207108],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975271,0.000043358308,0.0004745603,0.0001439404,0.00003230297,0.0017787163],"domain_scores_gemma":[0.9993892,0.000091684866,0.00026774884,0.00013797655,0.0000132914265,0.00010012877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030088318,0.00013608253,0.00028615963,0.00020260857,0.00017201544,0.00010265959,0.00015903547,0.000043372143,0.000039958806],"category_scores_gemma":[0.000046302284,0.00012050089,0.000048325146,0.000185212,0.000060243943,0.00028020164,0.000037998383,0.0008159668,0.000012504648],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020893109,0.000036933285,0.73642033,0.000011816918,0.0001539528,0.000002178943,0.0026556181,0.0014662229,3.809363e-7,0.24166158,0.00030958495,0.017072486],"study_design_scores_gemma":[0.010610707,0.00019458575,0.051094726,0.00008283532,0.000052025836,0.00053144875,0.036929276,0.03901717,0.0000069227854,0.7552087,0.10485105,0.0014205952],"about_ca_topic_score_codex":0.48048365,"about_ca_topic_score_gemma":0.7977353,"teacher_disagreement_score":0.6853256,"about_ca_system_score_codex":0.0023875232,"about_ca_system_score_gemma":0.00071264076,"threshold_uncertainty_score":0.624329},"labels":[],"label_agreement":null},{"id":"W3124186501","doi":"10.15396/eres2002_175","title":"Some Evidence on the Integration of Canadian and US Residential Mortgage Markets: Fractional Cointegratlon and Multi-Stop Causality","year":2002,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Causality (physics); Business; Economics; Computer science; Physics","score_opus":0.10893149713596172,"score_gpt":0.24838172673963152,"score_spread":0.13945022960366982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124186501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9700962,0.0007174656,0.00033577584,0.004196989,0.00028412996,0.00018473442,0.00006909561,0.0000138263185,0.024101796],"genre_scores_gemma":[0.9940834,0.0036002602,0.00037486854,0.00049020967,0.000074001415,0.000007434087,0.0000038803205,0.000011057447,0.0013549023],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99910647,0.000033136886,0.00038399742,0.0002750031,0.000026659744,0.0001747362],"domain_scores_gemma":[0.99924713,0.00023770919,0.0001732366,0.00021605578,0.000023881827,0.000102005935],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00077573804,0.00011720083,0.0002107505,0.0003211011,0.00016766044,0.000102013764,0.00009545292,0.00008717654,0.0009887726],"category_scores_gemma":[0.00041729666,0.0001026911,0.00004118387,0.00012547043,0.00011595467,0.00038630533,0.000024837573,0.00016782641,0.00005880247],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022218263,0.00019994119,0.45534703,0.00008567091,0.0001495334,0.000014886466,0.0020038788,0.00005866317,0.00031184976,0.50381225,0.027888386,0.00990571],"study_design_scores_gemma":[0.0006606106,0.00015290649,0.8802617,0.00010890771,0.00001797459,0.00001876655,0.00046297384,0.0890921,0.00033548786,0.012455708,0.015957447,0.0004754215],"about_ca_topic_score_codex":0.118367575,"about_ca_topic_score_gemma":0.11886095,"teacher_disagreement_score":0.49135655,"about_ca_system_score_codex":0.000106402746,"about_ca_system_score_gemma":0.00001871474,"threshold_uncertainty_score":0.9999245},"labels":[],"label_agreement":null},{"id":"W3124187225","doi":"10.1023/a:1013978220662","title":"Mortgage Contracts, Strategic Options and Stochastic Collateral","year":2002,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; Simon Fraser University","funders":"","keywords":"Arbitrage; Prepayment of loan; Collateral; Tranche; Mortgage underwriting; Valuation (finance); Liberian dollar; Economics; Collateralized debt obligation; Business; Microeconomics; Mortgage insurance; Monetary economics; Actuarial science; Financial economics; Finance; Insurance policy","score_opus":0.03810198237714673,"score_gpt":0.2047452512694099,"score_spread":0.16664326889226316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124187225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9665253,0.0010489327,0.00010365196,0.0005653681,0.00029370922,0.00009802555,0.00004964878,0.0000072593266,0.031308066],"genre_scores_gemma":[0.8178062,0.18153846,0.00023797998,0.000072971816,0.00010962213,0.0000014300407,0.000001337211,0.000018347875,0.00021366787],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875575,0.000019629506,0.00076986104,0.00016331028,0.000014313656,0.00027712111],"domain_scores_gemma":[0.9988158,0.00012758974,0.00075689267,0.00017750126,0.000025433375,0.00009678294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007915852,0.00016592044,0.0004644026,0.00009741691,0.00019811382,0.00013770051,0.0001710229,0.00007774822,0.000058067963],"category_scores_gemma":[0.0000149606985,0.00015195202,0.000067971225,0.00005992946,0.00016627953,0.0004488955,0.00004284126,0.00023415532,0.00003924377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016453244,0.0008805884,0.04495745,0.000278244,0.0011867757,0.00016391791,0.026692046,0.16609101,0.00010346653,0.44599566,0.004017564,0.30798793],"study_design_scores_gemma":[0.009777275,0.0021538485,0.06905958,0.00021837385,0.00029444735,0.0030949495,0.0036704848,0.603752,0.000035034314,0.22263746,0.082817905,0.0024886355],"about_ca_topic_score_codex":0.00015859147,"about_ca_topic_score_gemma":0.000094884,"teacher_disagreement_score":0.437661,"about_ca_system_score_codex":0.00006724727,"about_ca_system_score_gemma":0.000019262778,"threshold_uncertainty_score":0.6196424},"labels":[],"label_agreement":null},{"id":"W3124203752","doi":"10.34989/swp-2013-2","title":"House Prices, Consumption and the Role of Non-Mortgage Debt","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Debt; Consumption (sociology); House price; Household debt; Monetary economics; Real estate; Economics; Debt-to-GDP ratio; Debt levels and flows; Internal debt; Business; Finance","score_opus":0.029157894463979483,"score_gpt":0.26794252318636147,"score_spread":0.238784628722382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124203752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8298245,0.0025765817,0.00001691949,0.00016821842,0.0004162897,0.00075464003,0.00008248667,0.00002965869,0.16613068],"genre_scores_gemma":[0.909236,0.08917869,0.0008418578,0.000055465203,0.00014132385,0.00015896876,0.000037336813,0.00010128599,0.00024905897],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99659884,0.00013192071,0.0014546905,0.0010687779,0.00006528811,0.00068048894],"domain_scores_gemma":[0.99705374,0.0006756599,0.0007838001,0.0012651291,0.00007020739,0.00015148766],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0046322476,0.00034736237,0.0012496494,0.00058134284,0.00018332458,0.00034532527,0.00072532205,0.0005293022,0.00017176983],"category_scores_gemma":[0.0005115087,0.00037462375,0.00028042577,0.00013064088,0.0008533574,0.00019014467,0.0013796104,0.001440917,0.000032459506],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00093433284,0.0006347369,0.47079086,0.0014479817,0.00087759364,0.000042433174,0.007523905,0.0072141387,0.00010676501,0.055363744,0.0000716686,0.45499185],"study_design_scores_gemma":[0.015141994,0.00031612013,0.24442439,0.0014730308,0.000120220335,0.000095417345,0.00834147,0.42929196,0.00094327354,0.19610412,0.09940052,0.0043474697],"about_ca_topic_score_codex":0.0006861982,"about_ca_topic_score_gemma":0.0006548591,"teacher_disagreement_score":0.45064437,"about_ca_system_score_codex":0.00047803723,"about_ca_system_score_gemma":0.00024976578,"threshold_uncertainty_score":0.9998706},"labels":[],"label_agreement":null},{"id":"W3124303392","doi":"10.1257/mac.20130326","title":"Moving to a Job: The Role of Home Equity, Debt, and Access to Credit","year":2017,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Home equity; Relocation; Equity (law); Great recession; Debt; Foreclosure; Labour economics; Economics; Loan; Consumption (sociology); Construct (python library); Business; Finance; Political science","score_opus":0.0257989373855872,"score_gpt":0.2787410789797429,"score_spread":0.2529421415941557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124303392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.926493,0.00021806834,0.00044166777,0.0057586646,0.0012200526,0.00032287472,0.00014394676,0.000020526786,0.065381184],"genre_scores_gemma":[0.99459714,0.0012556253,0.001501424,0.0016286356,0.0007595151,0.0000248903,0.0000014902641,0.00008308941,0.0001481929],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971529,0.000026671982,0.0013908865,0.0006411215,0.000030499177,0.0007579182],"domain_scores_gemma":[0.99598205,0.00016469101,0.0020894052,0.0011584107,0.000038251903,0.00056717964],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0016964915,0.00035212954,0.0010721675,0.00043046166,0.00088254834,0.0021090335,0.0025417132,0.00008180747,0.00023069391],"category_scores_gemma":[0.00023048357,0.0003776052,0.00023943177,0.0000663436,0.0004815526,0.0011627761,0.001983513,0.00036177828,0.0005671898],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017678992,0.000038380673,0.7887629,0.000015552674,0.00024847346,0.000004966601,0.0010138509,0.0021584153,0.000051695042,0.03857142,0.0019025494,0.16705501],"study_design_scores_gemma":[0.0017110438,0.00069156266,0.564986,0.00008492144,0.000067475405,0.00034144765,0.0019571309,0.0090228785,0.0004108165,0.20918019,0.20958684,0.0019597032],"about_ca_topic_score_codex":0.0019812477,"about_ca_topic_score_gemma":0.0011416097,"teacher_disagreement_score":0.2237769,"about_ca_system_score_codex":0.0004678325,"about_ca_system_score_gemma":0.00013884908,"threshold_uncertainty_score":0.99986756},"labels":[],"label_agreement":null},{"id":"W3124309576","doi":"","title":"First Time Home Buyers and Residential Investment Volatility","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Volatility (finance); Great Moderation; Economics; Monetary economics; Earnings; Investment (military); Business cycle; Macroeconomics; Econometrics; Finance","score_opus":0.036466020008624485,"score_gpt":0.27186448541809904,"score_spread":0.23539846540947457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124309576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6521318,0.0006114138,0.000014261386,0.0004980844,0.0008893324,0.00081424956,0.0002220925,0.000066151784,0.3447526],"genre_scores_gemma":[0.96547145,0.02612447,0.0017429997,0.00033278222,0.0007286863,0.00017710461,0.00017004377,0.00022139377,0.005031059],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9946837,0.00010681258,0.0018509533,0.0019046834,0.00010048994,0.001353355],"domain_scores_gemma":[0.996826,0.0005528874,0.0006194322,0.0014822604,0.000065214386,0.00045422936],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006180266,0.00056071416,0.0013269917,0.0014660738,0.00033271514,0.000505268,0.00085787213,0.00095361145,0.0006752617],"category_scores_gemma":[0.0005421335,0.0007758966,0.00028586306,0.00019697388,0.0006224471,0.0002814629,0.0018975275,0.0019162383,0.00026936407],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002008985,0.0018779947,0.6969546,0.0032847272,0.0016972029,0.00038092502,0.0064630355,0.019053241,0.000038758764,0.050768793,0.0049823085,0.21248943],"study_design_scores_gemma":[0.003938048,0.0003583223,0.17694563,0.0005622543,0.0000357889,0.000037930797,0.0004844387,0.23027265,0.000048680307,0.25056282,0.33300173,0.0037516868],"about_ca_topic_score_codex":0.00077910314,"about_ca_topic_score_gemma":0.001240445,"teacher_disagreement_score":0.520009,"about_ca_system_score_codex":0.0020773036,"about_ca_system_score_gemma":0.0002734543,"threshold_uncertainty_score":0.9994692},"labels":[],"label_agreement":null},{"id":"W3124310258","doi":"10.2139/ssrn.299519","title":"Rent Indices for Housing in West Germany 1985 to 1998","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic rent; Renting; Inflation (cosmology); German; Economics; Price index; Index (typography); Rental housing; Hedonic regression; Consumer price index (South Africa); Hedonic index; Quality (philosophy); Distortion (music); Econometrics; Quarter (Canadian coin); Public economics; Macroeconomics; Monetary policy; Microeconomics; Geography; Engineering","score_opus":0.02327158263760967,"score_gpt":0.21664598445141553,"score_spread":0.19337440181380586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124310258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9724914,0.002830859,0.0050700777,0.0015720726,0.0006449867,0.00025417536,0.000014682132,0.000026754567,0.017094985],"genre_scores_gemma":[0.9928876,0.005157247,0.00033871143,0.0002762042,0.00043946155,0.000014538062,0.0000024205074,0.00004008083,0.0008437278],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972661,0.000012006785,0.0006262886,0.00028680553,0.000027640524,0.0017811183],"domain_scores_gemma":[0.9993894,0.000046775214,0.00028748228,0.00016303972,0.000011379687,0.0001019142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017258957,0.00015279476,0.00033095377,0.00045725738,0.00017334626,0.00013687466,0.0002702327,0.000090398134,0.00012204034],"category_scores_gemma":[0.00006945807,0.00018340205,0.0001272091,0.00020119341,0.000018524977,0.00026333856,0.000034811084,0.0006616393,0.0005689706],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002764698,0.00070998666,0.2207589,0.000078725294,0.0003713285,0.000017229182,0.0048613236,0.0027719433,0.00009038098,0.5398997,0.0031859898,0.22697803],"study_design_scores_gemma":[0.0043147355,0.0010178705,0.013861301,0.00010670052,0.000027861632,0.0002152908,0.001327751,0.018119052,0.000042493783,0.64154696,0.31790552,0.0015144915],"about_ca_topic_score_codex":0.00013776636,"about_ca_topic_score_gemma":0.0026697356,"teacher_disagreement_score":0.31471953,"about_ca_system_score_codex":0.0013245582,"about_ca_system_score_gemma":0.00010499772,"threshold_uncertainty_score":0.7478919},"labels":[],"label_agreement":null},{"id":"W3124353290","doi":"","title":"Housing Construction Cycles and Interest Rates","year":2004,"lang":"en","type":"article","venue":"Econometric Society 2004 Australasian Meetings","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Interest rate; Economics; Investment (military); Sensitivity (control systems); Business cycle; Econometrics; Monetary economics; Macroeconomics","score_opus":0.02916008312651117,"score_gpt":0.22644781205327694,"score_spread":0.19728772892676577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124353290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.966348,0.0008253181,0.0010375477,0.0015872405,0.00065294706,0.00021852463,0.000043288223,0.00014719482,0.02913994],"genre_scores_gemma":[0.9840884,0.0009597216,0.014125339,0.00026927216,0.0002857121,0.0000131983015,0.000016840711,0.00006134655,0.00018012301],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99774134,0.00001363666,0.0008803375,0.0007371326,0.000028736427,0.00059879903],"domain_scores_gemma":[0.998798,0.00009973837,0.0005519704,0.00029373006,0.00002731797,0.00022921024],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00089938106,0.00032406164,0.00058282004,0.00044141363,0.00038504152,0.00037395424,0.00022797681,0.00026318536,0.0003126248],"category_scores_gemma":[0.00020506927,0.00042382762,0.00028097554,0.0007525793,0.0003389377,0.0006465789,0.000095598065,0.00037286145,0.0003797662],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041351253,0.0002858566,0.8450644,0.0002938347,0.00047665628,0.000012849353,0.0047589806,0.0017175644,0.00008259465,0.11834103,0.003619655,0.025305241],"study_design_scores_gemma":[0.015523855,0.00079287915,0.3994799,0.0005497132,0.0001917985,0.00050199096,0.020724652,0.00395988,0.0035129662,0.45505187,0.09290999,0.0068004974],"about_ca_topic_score_codex":0.00028091876,"about_ca_topic_score_gemma":0.000031632193,"teacher_disagreement_score":0.44558448,"about_ca_system_score_codex":0.00047045774,"about_ca_system_score_gemma":0.000043932432,"threshold_uncertainty_score":0.99982136},"labels":[],"label_agreement":null},{"id":"W3124403273","doi":"10.1108/17538271211243580?utm_campaign=repec&amp;wt.mc_id=repec","title":"The quarter century record on housing affordability, affordability drivers, and government policy responses in Australia","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Incentive; Government (linguistics); Zoning; Public economics; Work (physics); Quarter (Canadian coin); Business; Population; Economics; Public policy; Economic growth; Finance; Political science; Geography; Market economy; Engineering","score_opus":0.06153543923727237,"score_gpt":0.30242084990647977,"score_spread":0.2408854106692074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124403273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8902186,0.000114871844,0.0000018891955,0.0010640093,0.00092223886,0.0010458131,0.00024413307,0.000031710973,0.106356725],"genre_scores_gemma":[0.9736223,0.024404807,0.00033283862,0.000092769646,0.00027574878,0.00018283643,0.000016277292,0.000090340945,0.0009820611],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9944418,0.00040424342,0.0017921763,0.0017694918,0.00013162257,0.0014606545],"domain_scores_gemma":[0.99581826,0.0013078834,0.00064157275,0.001905419,0.000039378,0.0002875054],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0074738143,0.0005740982,0.0010801223,0.0007060225,0.0003863399,0.0004887397,0.0010220241,0.0006998931,0.00012815004],"category_scores_gemma":[0.0013361691,0.0006124897,0.00028854024,0.00022016733,0.0008063236,0.0002328261,0.0014520378,0.002206176,0.00005880194],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019147943,0.00062834733,0.7704585,0.00031164574,0.00015319728,0.000029653589,0.0024803479,0.00080530025,0.000006033442,0.03170951,0.00017977277,0.19132285],"study_design_scores_gemma":[0.003003887,0.0008016566,0.584036,0.00054750306,0.000015780055,0.000011130649,0.0037496646,0.006190309,0.0000631859,0.26783964,0.13119434,0.002546955],"about_ca_topic_score_codex":0.0029541354,"about_ca_topic_score_gemma":0.008361536,"teacher_disagreement_score":0.23613012,"about_ca_system_score_codex":0.005123929,"about_ca_system_score_gemma":0.0003235239,"threshold_uncertainty_score":0.99963266},"labels":[],"label_agreement":null},{"id":"W3124403794","doi":"","title":"Developers, Herding, and Overbuilding","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Herding; Reputation; Real estate; Copying; Order (exchange); Economics; Business; Marketing; Microeconomics; Finance; Sociology; Political science","score_opus":0.026107935857930305,"score_gpt":0.19240904460999964,"score_spread":0.16630110875206933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124403794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76901543,0.0038449496,0.008835527,0.00016105697,0.00041386872,0.000060251874,0.000002447571,0.00003229264,0.21763416],"genre_scores_gemma":[0.9862885,0.011383539,0.0010727752,0.00009186448,0.00014009149,0.0000016195862,6.2369605e-7,0.00002695148,0.0009940553],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99814105,0.0000093883355,0.00035425214,0.00021088729,0.000015927582,0.0012684952],"domain_scores_gemma":[0.99958116,0.000012396652,0.0002040001,0.00010975312,0.000012645467,0.000080067875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016285887,0.000118479606,0.00021957955,0.00015288456,0.0001937398,0.00007200174,0.00016485417,0.000071656366,0.00018793199],"category_scores_gemma":[0.000046218323,0.0001351508,0.000064040796,0.000069975235,0.00003587997,0.00030902502,0.00004588157,0.00064781064,0.0001278388],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020024605,0.000019945754,0.07535908,0.0000036236024,0.00008470943,0.0000021048238,0.0007178155,0.0000018607452,0.0000056443696,0.9072483,0.00007869667,0.016458144],"study_design_scores_gemma":[0.0005422656,0.00011015897,0.007392288,0.000010178193,0.000007780088,0.0003284693,0.000599733,0.00023936748,0.000025128807,0.9674978,0.022926344,0.0003204872],"about_ca_topic_score_codex":0.00013877128,"about_ca_topic_score_gemma":0.00015321467,"teacher_disagreement_score":0.21727304,"about_ca_system_score_codex":0.0004624651,"about_ca_system_score_gemma":0.00018882184,"threshold_uncertainty_score":0.551129},"labels":[],"label_agreement":null},{"id":"W3124449796","doi":"10.1093/rfs/hhaa060","title":"Do Neighborhoods Affect the Credit Market Decisions of Low-Income Borrowers? Evidence from the Moving to Opportunity Experiment","year":2020,"lang":"en","type":"preprint","venue":"Review of Financial Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Oregon; Sage Foundation; York University; George Washington University; U.S. Department of Housing and Urban Development","keywords":"Voucher; Lottery; Poverty; Loan; Affect (linguistics); Debt; Demographic economics; Randomized experiment; Economics; Business; Psychology; Finance; Economic growth; Accounting; Medicine; Microeconomics","score_opus":0.1471619093715395,"score_gpt":0.33576469705564227,"score_spread":0.18860278768410277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124449796","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07538657,0.89671737,0.0010765663,0.011022403,0.00320966,0.0023066464,0.0010633421,0.00003460388,0.009182813],"genre_scores_gemma":[0.36559838,0.63174796,0.00068236474,0.0011975013,0.0005056603,0.00019608595,0.000009176825,0.000033053853,0.000029820061],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9966444,0.00017838538,0.0019490345,0.0007572344,0.00013111117,0.00033984942],"domain_scores_gemma":[0.9941109,0.0023871441,0.0017971279,0.001392483,0.0001737656,0.00013857348],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0034447415,0.00045009312,0.0022706974,0.000081551574,0.00025827147,0.00006231366,0.0014540777,0.00016073907,0.00035009603],"category_scores_gemma":[0.018657422,0.0003274685,0.0007266619,0.00034654405,0.00022389091,0.00010938901,0.0025620463,0.0005088899,0.000054035827],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071584247,0.0006380505,0.091195256,0.040204603,0.003131431,0.000046185298,0.023906384,0.00036579432,0.00004694654,0.025216902,0.5498964,0.26463616],"study_design_scores_gemma":[0.0010826888,0.00081431854,0.39328235,0.27453795,0.000999791,0.0000044159287,0.0017735643,0.0007174548,0.00033214877,0.08011439,0.24288948,0.0034514344],"about_ca_topic_score_codex":0.00048473376,"about_ca_topic_score_gemma":0.00008414544,"teacher_disagreement_score":0.30700696,"about_ca_system_score_codex":0.00024635927,"about_ca_system_score_gemma":0.00026828144,"threshold_uncertainty_score":0.99991775},"labels":[],"label_agreement":null},{"id":"W3124453992","doi":"","title":"Local Willingness-to-Pay Estimates for the Remediation of the Sydney Tar Ponds in Nova Scotia","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Willingness to pay; Environmental science; Environmental remediation; Property value; Residential property; tar (computing); Geography; Hedonic pricing; Agricultural economics; Economics; Econometrics; Contamination; Regional science; Archaeology; Ecology","score_opus":0.04203655425208808,"score_gpt":0.29362224559698197,"score_spread":0.2515856913448939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124453992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91399807,0.0008497945,0.00201328,0.006618031,0.0044111884,0.0048763556,0.0006182506,0.000053241412,0.06656181],"genre_scores_gemma":[0.9948847,0.0027604073,0.0013289831,0.00022156109,0.00026593098,0.00013662795,0.00005146947,0.00008596124,0.00026433638],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9962424,0.000080797676,0.001694883,0.0010126166,0.00008523938,0.0008840402],"domain_scores_gemma":[0.9964515,0.0011943774,0.0006917035,0.0014316733,0.00010078942,0.00012998395],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0055082925,0.00037405296,0.0009695233,0.0006590792,0.00016205857,0.00018060587,0.0015521667,0.00053905265,0.00008420172],"category_scores_gemma":[0.0016504925,0.00031430615,0.00034037893,0.0003626437,0.00036603762,0.00014548001,0.0007646517,0.001347009,0.000034406294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004658776,0.00039609827,0.3480374,0.00060637045,0.00020709414,0.000004924844,0.001896511,0.4741944,0.000041037623,0.014446994,0.0004758503,0.15922745],"study_design_scores_gemma":[0.0023038576,0.00027588304,0.2510135,0.0007596569,0.00003226147,0.0000074949266,0.00053521694,0.6010098,0.0005384095,0.114498645,0.027564872,0.0014604118],"about_ca_topic_score_codex":0.0011029223,"about_ca_topic_score_gemma":0.00511427,"teacher_disagreement_score":0.15776704,"about_ca_system_score_codex":0.001486944,"about_ca_system_score_gemma":0.00042639865,"threshold_uncertainty_score":0.9999309},"labels":[],"label_agreement":null},{"id":"W3124498132","doi":"","title":"Developing Land and Structure Price Indexes for Ottawa Condominium Apartments","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Apartment; Depreciation (economics); Real estate; Land price; Stock (firearms); Business; Unit (ring theory); Price index; Space (punctuation); Agricultural economics; Finance; Economics; Geography; Civil engineering; Econometrics; Engineering; Mathematics; Microeconomics; Computer science; Profit (economics)","score_opus":0.04533391642990679,"score_gpt":0.2956464885011993,"score_spread":0.2503125720712925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124498132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8432959,0.00067149923,0.0003054986,0.0013359572,0.0019499355,0.0023344913,0.0020205087,0.00006917495,0.14801708],"genre_scores_gemma":[0.9828359,0.010563875,0.0037994897,0.00021308543,0.0006003767,0.0004005839,0.0001671808,0.00016808836,0.0012514079],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99587166,0.00007092657,0.0013786957,0.0014967958,0.00005496298,0.001126982],"domain_scores_gemma":[0.9974057,0.00079333136,0.000670851,0.00082814414,0.00007178555,0.00023019436],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0023875784,0.0004880105,0.001212851,0.0008156161,0.0002604001,0.00036772867,0.00067906425,0.0007939032,0.00013333047],"category_scores_gemma":[0.0005824461,0.00054393796,0.00018413841,0.00008099552,0.00030635283,0.00023235689,0.0009876739,0.0008665618,0.000025914516],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008110055,0.00020037695,0.7250454,0.001907886,0.0009113268,0.00002254029,0.0011891746,0.0009470522,0.000054610522,0.09757965,0.00085551623,0.17047547],"study_design_scores_gemma":[0.0075093573,0.0002140878,0.044826057,0.00058650214,0.000021905844,0.000024723986,0.0001899512,0.0076963548,0.000297381,0.53104043,0.4049218,0.0026714774],"about_ca_topic_score_codex":0.00005496517,"about_ca_topic_score_gemma":0.0003121204,"teacher_disagreement_score":0.68021935,"about_ca_system_score_codex":0.0012732123,"about_ca_system_score_gemma":0.00037431048,"threshold_uncertainty_score":0.9997012},"labels":[],"label_agreement":null},{"id":"W3124508217","doi":"","title":"From Housing Bust to Credit Crunch: Evidence from Small Business Loans","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Bust; Credit crunch; Metropolitan area; Financial system; Business; Small business; Economic shortage; Crunch; House price; Monetary economics; Economics; Finance; Boom; Geography; Government (linguistics)","score_opus":0.1387101170417799,"score_gpt":0.30584674451452776,"score_spread":0.16713662747274785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124508217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8877093,0.0012139386,0.00027382124,0.001659928,0.004428945,0.0011787644,0.0018759544,0.0001448077,0.10151453],"genre_scores_gemma":[0.9579634,0.024196247,0.010118146,0.00042651393,0.0041565048,0.00039595508,0.0006759549,0.00045142707,0.0016158264],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9923018,0.00021108122,0.002401742,0.0031625447,0.00016371858,0.0017591177],"domain_scores_gemma":[0.993596,0.0013494582,0.0008894293,0.0029714769,0.0003637048,0.0008299367],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0047278292,0.0008800689,0.002121784,0.001252216,0.0002778272,0.0011842368,0.0025365504,0.0012552036,0.00073990866],"category_scores_gemma":[0.0035424673,0.0012102774,0.0003635157,0.00054017646,0.00034315308,0.0005023863,0.0035120673,0.0024479586,0.0009969994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002014862,0.0012249846,0.26652664,0.00073254673,0.0012800402,0.000434299,0.012233447,0.33506086,0.0002195599,0.0011897282,0.009543207,0.36953983],"study_design_scores_gemma":[0.0058603887,0.00050155906,0.17285669,0.0068133194,0.00014350448,0.0000175345,0.00435773,0.14558527,0.0003326151,0.22580396,0.4270577,0.010669703],"about_ca_topic_score_codex":0.021821499,"about_ca_topic_score_gemma":0.009656202,"teacher_disagreement_score":0.41751453,"about_ca_system_score_codex":0.00409598,"about_ca_system_score_gemma":0.0011440631,"threshold_uncertainty_score":0.99985343},"labels":[],"label_agreement":null},{"id":"W3124523331","doi":"10.3390/jrfm14020043","title":"The Evolution of Arrears among US Households 1995–2013","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Arrears; Payment; Loan; Bankruptcy; Business; Debt; Economics; Demographic economics; Labour economics; Finance","score_opus":0.008719493382208975,"score_gpt":0.17376071896698006,"score_spread":0.16504122558477108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124523331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97288525,0.0042275107,0.0099672675,0.00013798111,0.0009968737,0.0000662495,0.00001743987,0.0000043397026,0.011697101],"genre_scores_gemma":[0.9716644,0.027267322,0.00063997647,0.000022439437,0.00016080395,0.000001449843,6.1668334e-7,0.000010038611,0.00023293313],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989756,0.000020186751,0.0006699537,0.00012919563,0.000039653176,0.00016541882],"domain_scores_gemma":[0.9989351,0.000051671694,0.0007456165,0.000169946,0.000047116344,0.00005051699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093142356,0.00008686648,0.00028851477,0.00011026071,0.00015953109,0.00006649514,0.00013938006,0.000056498135,0.000015477684],"category_scores_gemma":[0.00010470334,0.0000792192,0.00013730196,0.0001613083,0.00007840047,0.00015727841,0.00007836708,0.00014747072,0.000008803917],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012848992,0.00012875856,0.7160929,0.00006390656,0.00009939131,0.00004723082,0.00046251307,0.0007685606,0.0000027745243,0.14272867,0.003650549,0.13582629],"study_design_scores_gemma":[0.00056908524,0.000059610775,0.7559436,0.00003447953,0.000033081422,0.00000914001,0.00028490214,0.0003294298,0.000010199424,0.043193072,0.1994174,0.00011600917],"about_ca_topic_score_codex":0.00024087985,"about_ca_topic_score_gemma":0.00023198708,"teacher_disagreement_score":0.19576684,"about_ca_system_score_codex":0.00010009737,"about_ca_system_score_gemma":0.000024481862,"threshold_uncertainty_score":0.3230465},"labels":[],"label_agreement":null},{"id":"W3124560797","doi":"","title":"A Panel of Price Indices for Housing, Other Goods, and All Goods for All Areas in the United States 1982-2008","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Price index; Metropolitan area; Index (typography); Quarter (Canadian coin); Economics; Composite index; Panel data; Hedonic index; Price level; Consumer price index (South Africa); Producer price index; Econometrics; Composite indicator; Mid price; Geography; Macroeconomics","score_opus":0.08310722116147358,"score_gpt":0.3129129685854296,"score_spread":0.22980574742395604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124560797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96883506,0.0004585402,0.000091784605,0.0010849447,0.0005076312,0.0027519197,0.0018048035,0.000027672371,0.02443762],"genre_scores_gemma":[0.9652819,0.024997698,0.005603169,0.00087894115,0.00041664502,0.0012586408,0.00090601516,0.00025919222,0.0003978023],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960292,0.00012361951,0.0015630029,0.0011495637,0.000066201304,0.0010684313],"domain_scores_gemma":[0.9958358,0.001906571,0.0009936119,0.0010389613,0.00007068304,0.00015439396],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0065246173,0.000454467,0.0011305589,0.0013676811,0.00014413193,0.00030925914,0.0011150326,0.00079660676,0.00004005774],"category_scores_gemma":[0.00075454125,0.00048118952,0.00026350998,0.00020618571,0.00044409538,0.00016642435,0.0005150329,0.0013400553,0.0000037914983],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0053840787,0.0049076295,0.55545807,0.010386512,0.004086336,0.00004518118,0.064940356,0.058029443,0.00015081847,0.096500404,0.0033768676,0.19673428],"study_design_scores_gemma":[0.004663848,0.0005498336,0.013781554,0.0003502209,0.00005476297,0.000013026519,0.003717359,0.17569315,0.000081008664,0.09521036,0.70415854,0.0017263398],"about_ca_topic_score_codex":0.0027833136,"about_ca_topic_score_gemma":0.00534513,"teacher_disagreement_score":0.70078164,"about_ca_system_score_codex":0.00043682504,"about_ca_system_score_gemma":0.0002414679,"threshold_uncertainty_score":0.99976397},"labels":[],"label_agreement":null},{"id":"W3124638014","doi":"","title":"Residential Land Use Regulation and the US Housing Price Cycle Between 2000 and 2009","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Boom; Shock (circulatory); Land price; Economics; Sample (material); Natural resource economics; Land use; Monetary economics; House price; Agricultural economics; Business; Environmental science; Ecology; Environmental engineering","score_opus":0.0323242478671703,"score_gpt":0.26555678258065873,"score_spread":0.23323253471348843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124638014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95143765,0.00046536542,0.000023649109,0.00070776744,0.0004894137,0.0007752482,0.0001811881,0.00003495887,0.04588474],"genre_scores_gemma":[0.97981626,0.017679323,0.0007384133,0.00007228443,0.00062451116,0.000059727172,0.000061838065,0.000094092095,0.0008535596],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966659,0.00017543494,0.0011669117,0.0011593231,0.00006968088,0.0007627258],"domain_scores_gemma":[0.99717516,0.0009683092,0.0005908546,0.0010064768,0.000053506967,0.00020566754],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0048954184,0.0003642344,0.0009632539,0.0006599469,0.00042252915,0.0011289092,0.00047810574,0.0007541822,0.00009214515],"category_scores_gemma":[0.00073248596,0.00039030376,0.00014007084,0.00012558769,0.0008037668,0.00041801741,0.0011611658,0.0019713251,0.000021785982],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053347065,0.00008004041,0.88592297,0.00025206662,0.00025397437,0.000013308978,0.0014920468,0.006226359,0.000010786704,0.0070024407,0.00012807272,0.09808446],"study_design_scores_gemma":[0.0040068934,0.00006151131,0.7807947,0.00018673619,0.000036664245,0.000018935301,0.00011208773,0.07609546,0.000022438093,0.09262864,0.044828497,0.0012074754],"about_ca_topic_score_codex":0.0024099266,"about_ca_topic_score_gemma":0.00211888,"teacher_disagreement_score":0.105128326,"about_ca_system_score_codex":0.0004481495,"about_ca_system_score_gemma":0.00019769097,"threshold_uncertainty_score":0.99990803},"labels":[],"label_agreement":null},{"id":"W3124643442","doi":"10.2139/ssrn.3661052","title":"The Impact of the COVID-19 Pandemic on the Demand for Density: Evidence from the U.S. Housing Market","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Supply and demand; Demographic economics; Population; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Business; Economics; Demography; Microeconomics; Virology; Sociology; Medicine","score_opus":0.06580683966752625,"score_gpt":0.2679317413787268,"score_spread":0.2021249017112005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124643442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9525613,0.0046031876,0.007042848,0.034157727,0.0003025413,0.00042291416,0.000044917215,0.000015553664,0.0008490132],"genre_scores_gemma":[0.98348135,0.013834013,0.00001182577,0.0020775755,0.0004566564,0.000008364787,8.3564794e-7,0.000028288574,0.00010108718],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99793434,0.00015644325,0.0005497625,0.0002528142,0.00006114314,0.0010455068],"domain_scores_gemma":[0.9961309,0.0025975108,0.00071531365,0.00042524064,0.000034275527,0.00009678281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060060625,0.00017967795,0.00029598016,0.00002605123,0.0011815683,0.00023264361,0.0010154081,0.00007995345,0.00006781245],"category_scores_gemma":[0.00268573,0.00008513731,0.0004537192,0.00017779492,0.00016293315,0.00013589156,0.00010484106,0.0011266591,0.000018354318],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014876571,0.000050475126,0.8764826,0.000015553624,0.0009995981,0.00000105717,0.00253422,0.0040975846,0.00008936409,0.07705021,0.021955661,0.015236011],"study_design_scores_gemma":[0.0014104506,0.0005713932,0.059410498,0.00006831786,0.00009984094,0.00008841556,0.0017177525,0.023078883,0.0000383585,0.88703823,0.026013846,0.00046402714],"about_ca_topic_score_codex":0.00065321126,"about_ca_topic_score_gemma":0.0018983771,"teacher_disagreement_score":0.8170721,"about_ca_system_score_codex":0.00106166,"about_ca_system_score_gemma":0.0011238407,"threshold_uncertainty_score":0.9087787},"labels":[],"label_agreement":null},{"id":"W3124647521","doi":"","title":"Transferring Ownership of Public Housing to Existing Tenants: A Mechanism Design Approach","year":2014,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Ragnar Söderbergs stiftelse","keywords":"Renting; Preference; Mechanism (biology); Mechanism design; Rental housing; Business; Microeconomics; Market mechanism; Revealed preference; Identification (biology); Economics; Market economy; Engineering","score_opus":0.11321421059955417,"score_gpt":0.24173249646545586,"score_spread":0.1285182858659017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124647521","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5312573,0.0005260665,0.3534404,0.00025915258,0.003255218,0.0011519154,0.0002614024,0.00027134345,0.109577216],"genre_scores_gemma":[0.94766676,0.00019839586,0.05025486,0.00028274866,0.00069562526,0.00020063535,0.000059050206,0.00026085725,0.00038106082],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9932481,0.00023299803,0.0028643305,0.0020965184,0.00012386769,0.0014341747],"domain_scores_gemma":[0.99538904,0.00042720488,0.00176788,0.0016435091,0.00013941084,0.0006329295],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0058097066,0.0010118177,0.0026501345,0.0017135852,0.00036567994,0.00047839427,0.0014525999,0.0010390856,0.00047606623],"category_scores_gemma":[0.00084292446,0.001248388,0.0007772816,0.00037534177,0.00030404786,0.0004187347,0.0006558707,0.001185592,0.00045351504],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027545376,0.0011855138,0.5885698,0.0037145005,0.001966956,0.000042543103,0.0072930194,0.022613183,0.00035436632,0.35289842,0.0026713803,0.01841484],"study_design_scores_gemma":[0.013838731,0.0018257941,0.034474034,0.0055914074,0.0010427056,0.00047798874,0.0045886794,0.41931474,0.005110152,0.42913434,0.05805348,0.026547946],"about_ca_topic_score_codex":0.00034060795,"about_ca_topic_score_gemma":0.000095217125,"teacher_disagreement_score":0.5540958,"about_ca_system_score_codex":0.0010254025,"about_ca_system_score_gemma":0.00048575515,"threshold_uncertainty_score":0.9989966},"labels":[],"label_agreement":null},{"id":"W3124664918","doi":"","title":"Housing Formation and Unemployment Rates: Evidence from 1975-2011","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Unemployment; Autoregressive model; Quarter (Canadian coin); Unemployment rate; Labour economics; Demographic economics; Econometrics; Macroeconomics; Geography","score_opus":0.054100986135338494,"score_gpt":0.2405652606250968,"score_spread":0.18646427448975833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124664918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9615311,0.012060869,0.021307446,0.0010548531,0.00046194223,0.00009546568,0.0000068207737,0.000029591667,0.0034518866],"genre_scores_gemma":[0.98265785,0.01616717,0.00042077998,0.00010486892,0.00029254128,0.000002965042,0.000004730778,0.00002346547,0.00032562535],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982483,0.000024858635,0.0004924775,0.00021625121,0.00003738901,0.0009807595],"domain_scores_gemma":[0.9992763,0.000047173642,0.000358882,0.00015296941,0.000033917644,0.00013080049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023294112,0.00013375173,0.0002515335,0.00014332576,0.00014612883,0.00019463891,0.00016358052,0.000073229414,0.000050151386],"category_scores_gemma":[0.00010187131,0.00014829896,0.00005748407,0.00006686376,0.00003186406,0.0009416501,0.000048525184,0.00053739565,0.00030395895],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005920584,0.00023111881,0.533114,0.00004530549,0.0005656822,0.000014638305,0.0068617123,0.0014660046,0.00013293485,0.30762094,0.003961571,0.14539401],"study_design_scores_gemma":[0.001421061,0.00028528113,0.0024175455,0.00007060082,0.00002465284,0.000117281656,0.0016027776,0.013175874,0.000098091245,0.9626424,0.017651085,0.0004933851],"about_ca_topic_score_codex":0.000537835,"about_ca_topic_score_gemma":0.0009638206,"teacher_disagreement_score":0.6550214,"about_ca_system_score_codex":0.0009692065,"about_ca_system_score_gemma":0.00031298999,"threshold_uncertainty_score":0.60474557},"labels":[],"label_agreement":null},{"id":"W3124684524","doi":"10.59962/9780774857192-006","title":"Consumption Inequality in Canada","year":2007,"lang":"en","type":"book-chapter","venue":"University of British Columbia Press eBooks","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Inequality; Imputation (statistics); Gini coefficient; Consumption (sociology); Economics; Economic inequality; Renting; Econometrics; Demographic economics; Statistics; Mathematics; Missing data; Sociology; Political science","score_opus":0.045271054642001686,"score_gpt":0.17671245438564653,"score_spread":0.13144139974364485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124684524","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037843242,0.00032806772,0.000056267094,0.0000032423038,0.00027717088,0.00021489355,0.0013781225,0.00001758078,0.9598814],"genre_scores_gemma":[0.1864829,0.0015968657,0.00024306266,0.00006414948,0.00005353006,3.2958445e-7,0.00007855429,0.00005187889,0.8114287],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987613,0.000008466552,0.0005187413,0.00041638198,0.00004779988,0.00024731277],"domain_scores_gemma":[0.99897057,0.000050299714,0.0005580705,0.00028873273,0.00004000015,0.00009234278],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00033996347,0.000117055664,0.00062863424,0.00008916779,0.00006126733,0.00005365381,0.0002863267,0.00027078905,0.0009854964],"category_scores_gemma":[0.000010402397,0.00036667587,0.0001121972,0.0000064750884,0.00013057645,0.000068589536,0.00013234688,0.00028904335,0.000020551483],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003297906,0.00018478495,0.3157088,0.0023524298,0.00088104565,0.0029275017,0.0010805684,0.00015923037,0.0000014490358,0.16725962,0.13066858,0.3784462],"study_design_scores_gemma":[0.0011799268,0.000024907718,0.029389618,0.0003545996,0.000024510693,0.0000153398,0.000043553835,0.00022857942,4.5261663e-7,0.010731498,0.95726496,0.0007420661],"about_ca_topic_score_codex":0.99781114,"about_ca_topic_score_gemma":0.999729,"teacher_disagreement_score":0.8265964,"about_ca_system_score_codex":0.0009193121,"about_ca_system_score_gemma":0.00025598402,"threshold_uncertainty_score":0.99992776},"labels":[],"label_agreement":null},{"id":"W3124701502","doi":"10.2139/ssrn.2496193","title":"Commercial Property Price Indexes and the System of National Accounts","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Property (philosophy); National accounts; Business; Economics; Accounting","score_opus":0.011695856828540395,"score_gpt":0.18923518960882466,"score_spread":0.17753933278028425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124701502","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79489976,0.0013984964,0.008100973,0.0019652725,0.0005863905,0.00024377633,0.000015204862,0.000023508388,0.19276664],"genre_scores_gemma":[0.9979781,0.0012147132,0.0000410165,0.00009816421,0.00027760243,0.0000037665645,0.0000010390845,0.000012938065,0.0003726541],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99874467,0.000042025265,0.00044277732,0.00012961013,0.000044218643,0.0005966743],"domain_scores_gemma":[0.99932104,0.00008603425,0.00041258274,0.000098746896,0.000050250812,0.00003131548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005256138,0.00008891477,0.00027980274,0.00009750711,0.00020437152,0.000067810055,0.00021484964,0.000058727645,0.000013481879],"category_scores_gemma":[0.00014358014,0.000059535196,0.000071633316,0.00007513781,0.00010237661,0.00016506563,0.00003931605,0.0005019362,0.000028912214],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008719179,0.00001701661,0.01954667,0.000015442805,0.00006938374,5.0227975e-8,0.00017374985,0.000028077655,0.0000016288908,0.9739502,0.00008759889,0.0060229613],"study_design_scores_gemma":[0.0052569346,0.00019556697,0.017013902,0.000047699283,0.000021444557,0.00029161433,0.0008663425,0.016018165,0.000011791297,0.92955875,0.030323211,0.00039456913],"about_ca_topic_score_codex":0.00016626916,"about_ca_topic_score_gemma":0.00020237525,"teacher_disagreement_score":0.20307836,"about_ca_system_score_codex":0.0003961283,"about_ca_system_score_gemma":0.00023496052,"threshold_uncertainty_score":0.24277748},"labels":[],"label_agreement":null},{"id":"W3124729024","doi":"","title":"Estimation of a semi-parametric hazard model for Mexico's new housing market","year":2011,"lang":"en","type":"article","venue":"IFC Bulletins chapters","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Real estate; Duration (music); Hazard; Order (exchange); Actuarial science; Business; Hazard ratio; Economics; Finance; Econometrics; Statistics; Geography; Mathematics; Confidence interval","score_opus":0.06411885150348791,"score_gpt":0.21930062269397146,"score_spread":0.15518177119048354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124729024","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26235804,0.00023356253,0.56250334,0.0005390549,0.00058116694,0.0005434088,0.000105033025,0.00010347795,0.17303292],"genre_scores_gemma":[0.94426894,0.00015949183,0.054238796,0.00021592595,0.0000537773,0.000018154582,0.000010377813,0.000054554363,0.0009799884],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998507,0.000007322713,0.00071018597,0.00039572784,0.00003215143,0.0003475812],"domain_scores_gemma":[0.9988974,0.00007971483,0.0005103522,0.00036071264,0.00002583526,0.00012602842],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00058898824,0.00019820247,0.00047184044,0.0004522567,0.00008449701,0.000040490402,0.0002516098,0.00014173685,0.0005174802],"category_scores_gemma":[0.00018827616,0.00025400077,0.00020662791,0.00017787133,0.00006400057,0.0001531857,0.000055821518,0.00009416594,0.00010099854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025598775,0.0012609607,0.057079542,0.0009772273,0.00095394824,0.000012895202,0.020261787,0.22334309,0.000104670755,0.3347911,0.087668866,0.27098602],"study_design_scores_gemma":[0.0008397602,0.00007992402,0.0006956415,0.000029243609,0.000018884915,0.0000023172108,0.0000515789,0.96447724,0.00026097943,0.025361689,0.007838721,0.00034402445],"about_ca_topic_score_codex":0.00029370066,"about_ca_topic_score_gemma":0.0000263467,"teacher_disagreement_score":0.74113417,"about_ca_system_score_codex":0.000096021184,"about_ca_system_score_gemma":0.00004022622,"threshold_uncertainty_score":0.99999124},"labels":[],"label_agreement":null},{"id":"W3124769772","doi":"","title":"Commercial Property Rent Dynamics in U.S. Metropolitan Areas: An Examination of Office, Industrial, Flex and Retail Space","year":2013,"lang":"en","type":"article","venue":"e-Publications@Marquette (Marquette University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Renting; Metropolitan area; Quarter (Canadian coin); Business; FLEX; Space (punctuation); Industrial organization; Quality (philosophy); Debt; Economics; Finance; Engineering; Computer science; Telecommunications; Geography","score_opus":0.04099129510322374,"score_gpt":0.19698736936400593,"score_spread":0.15599607426078219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124769772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7209382,0.000046574274,0.00043904403,0.007138808,0.00017458116,0.000730921,0.0003014392,0.000101350975,0.27012905],"genre_scores_gemma":[0.9880563,0.00041600928,0.0010309817,0.00023351194,0.00009066817,0.000015347283,0.0006809613,0.000036595404,0.009439597],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99799466,0.00014744971,0.00071432587,0.00065119576,0.000073647214,0.00041872775],"domain_scores_gemma":[0.9981714,0.00011085761,0.0006209418,0.00067163515,0.00020690834,0.00021829219],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008751713,0.00026866904,0.0005492737,0.0018125545,0.00020379585,0.00017844961,0.0005186676,0.00031548805,0.0008974713],"category_scores_gemma":[0.0002906049,0.00031267025,0.00009283027,0.0013477989,0.00024992158,0.0017651694,0.00018035564,0.00037271003,0.00011050091],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013135548,0.00090839784,0.35824463,0.0000998993,0.00016105876,0.0000049809037,0.0007601461,0.0000464881,0.000056563655,0.56265455,0.021477925,0.055454046],"study_design_scores_gemma":[0.0040450804,0.00036507932,0.5272214,0.00008367872,0.00007266073,0.000010587245,0.004067858,0.021830764,0.00009324034,0.003345175,0.43728238,0.0015820707],"about_ca_topic_score_codex":0.003950403,"about_ca_topic_score_gemma":0.002447295,"teacher_disagreement_score":0.55930936,"about_ca_system_score_codex":0.0016161718,"about_ca_system_score_gemma":0.00010574841,"threshold_uncertainty_score":0.9999325},"labels":[],"label_agreement":null},{"id":"W3124794060","doi":"10.1111/jofi.13223","title":"Visibility Bias in the Transmission of Consumption Beliefs and Undersaving","year":2023,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Overconsumption; Social connectedness; Consumption (sociology); Visibility; Salient; Economics; Contrast (vision); Transmission (telecommunications); Econometrics; Microeconomics; Social psychology; Psychology; Computer science; Telecommunications; Geography; Sociology","score_opus":0.09962740086793538,"score_gpt":0.2642356712745316,"score_spread":0.16460827040659626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124794060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955572,0.0012069129,0.0006152513,0.0013833708,0.000098672754,0.00006146473,0.000004116212,0.0000027673084,0.0010702426],"genre_scores_gemma":[0.98934096,0.01041891,0.000112289265,0.000058776946,0.000030310923,4.551808e-7,3.1948e-7,0.0000050823405,0.000032915083],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992152,0.000047464342,0.0005295652,0.000070333444,0.000026821252,0.00011062594],"domain_scores_gemma":[0.9990997,0.00029685724,0.00043637684,0.00014077143,0.000013372085,0.000012953906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037503478,0.000056271507,0.00020738786,0.00011393478,0.000060652448,0.000016672308,0.00019424407,0.00003729546,0.000014374783],"category_scores_gemma":[0.00008990425,0.000038828977,0.00005034522,0.00018509617,0.00007925427,0.00013207238,0.000017510549,0.0001537447,0.000012732362],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005863805,0.00025620603,0.82107943,0.00037263878,0.000070108734,0.000020238029,0.04146678,0.007418291,0.0005966282,0.03887931,0.0022833177,0.08697068],"study_design_scores_gemma":[0.00064864376,0.00010348591,0.945848,0.00011681211,0.000007761621,0.000028045306,0.00046704043,0.005169739,0.00010217288,0.04282596,0.004585014,0.0000973265],"about_ca_topic_score_codex":0.00004648068,"about_ca_topic_score_gemma":0.000025360901,"teacher_disagreement_score":0.12476858,"about_ca_system_score_codex":0.000030322444,"about_ca_system_score_gemma":0.000015394759,"threshold_uncertainty_score":0.15833998},"labels":[],"label_agreement":null},{"id":"W3124796484","doi":"10.34989/swp-2014-1","title":"Household Risk Management and Actual Mortgage Choice in the Euro Area","year":2021,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"Oesterreichische Nationalbank","keywords":"Floating interest rate; Debt; Interest rate; Monetary economics; Economics; Cost of funds index; Volatility (finance); Loan; Household debt; Mortgage underwriting; Yield (engineering); Shared appreciation mortgage; Mortgage insurance; Business; Finance","score_opus":0.0297683154685101,"score_gpt":0.204934749168689,"score_spread":0.1751664337001789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124796484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79907227,0.001664131,0.00011328211,0.0003321003,0.0008616532,0.00022477894,0.00023225462,0.0000540077,0.19744556],"genre_scores_gemma":[0.9935315,0.0029807852,0.0006718582,0.001019332,0.00021111773,0.000046153546,0.000028832079,0.00005363467,0.0014567669],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976926,0.00008858789,0.00082999637,0.0007964872,0.000048003316,0.00054434116],"domain_scores_gemma":[0.99828744,0.0003988419,0.00039619434,0.00077092997,0.000016268888,0.00013031416],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012174044,0.00031470103,0.0005727199,0.00029932044,0.00026556238,0.00027141205,0.00039513173,0.00015546054,0.0007677862],"category_scores_gemma":[0.000207925,0.00034144556,0.00016648188,0.00028452682,0.00019983404,0.00035766998,0.00018661522,0.00046116035,0.0003603588],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010704701,0.00011832331,0.9781521,0.00003153845,0.00008259613,0.00009315299,0.0004961622,0.00005761818,0.00000140762,0.01283547,0.0064405026,0.0016804574],"study_design_scores_gemma":[0.0013101036,0.000037848124,0.75028944,0.000031088857,0.00003535966,0.00009054144,0.00061701087,0.0007935406,0.000019374529,0.004681507,0.24149126,0.000602936],"about_ca_topic_score_codex":0.00018343443,"about_ca_topic_score_gemma":0.00087711343,"teacher_disagreement_score":0.23505077,"about_ca_system_score_codex":0.00019075963,"about_ca_system_score_gemma":0.000049327147,"threshold_uncertainty_score":0.99990374},"labels":[],"label_agreement":null},{"id":"W3124797037","doi":"10.1093/restud/rdac024","title":"Affordable Housing and City Welfare","year":2022,"lang":"en","type":"preprint","venue":"The Review of Economic Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economic rent; Affordable housing; Zoning; Welfare; Economics; Public economics; Labour economics; Business; Economic growth; Market economy","score_opus":0.08990295684349799,"score_gpt":0.2952940281448682,"score_spread":0.20539107130137024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124797037","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07905488,0.82437485,0.000013130985,0.0067564207,0.002178658,0.0008389991,0.00039934384,0.00004324407,0.08634046],"genre_scores_gemma":[0.17044571,0.828112,0.00025243164,0.00048159712,0.00017550305,0.00013071155,0.000022168399,0.000046051115,0.00033381485],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975975,0.000056826313,0.0014016761,0.0006167661,0.000023846707,0.00030339762],"domain_scores_gemma":[0.997256,0.00018137635,0.0016022725,0.00089034525,0.000023952924,0.00004608827],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0026510153,0.0003508719,0.0019178314,0.00013009034,0.0003199689,0.00005033971,0.0005751798,0.0000894427,0.0013001519],"category_scores_gemma":[0.00019765136,0.00032815099,0.00035518422,0.00006164042,0.00026655162,0.00009265731,0.0023055973,0.00042825367,0.00005703532],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012475307,0.00027194677,0.07903452,0.13919306,0.008167916,0.0000125694305,0.007079399,0.003096997,6.598311e-7,0.6133959,0.06225089,0.087371364],"study_design_scores_gemma":[0.00044381304,0.00007331296,0.0022485417,0.004304195,0.00027277408,0.00001051789,0.0010670049,0.0007165355,0.000004352212,0.13099007,0.85877126,0.0010976014],"about_ca_topic_score_codex":0.00030795674,"about_ca_topic_score_gemma":0.00005854206,"teacher_disagreement_score":0.79652035,"about_ca_system_score_codex":0.00041866873,"about_ca_system_score_gemma":0.000050578255,"threshold_uncertainty_score":0.99991703},"labels":[],"label_agreement":null},{"id":"W3124801283","doi":"","title":"Ownership and the Price of Residential Electricity: Evidence from the United States, 1935-1940","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Economic rent; Electricity; Consumption (sociology); Sample (material); Competition (biology); Business; Electricity market; Economics; Public ownership; Market economy; Agricultural economics; Public economics","score_opus":0.05726763939438302,"score_gpt":0.2823286305040675,"score_spread":0.22506099110968447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124801283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9384099,0.0032704426,0.00011502787,0.0075573474,0.0008094302,0.0013995888,0.0004804583,0.00003968305,0.047918104],"genre_scores_gemma":[0.8611412,0.1369782,0.00014581281,0.0002685615,0.00042966785,0.00014219749,0.00007527146,0.00008391923,0.00073520484],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9954671,0.0005652909,0.0016825901,0.0012248554,0.00012103728,0.0009390904],"domain_scores_gemma":[0.98997694,0.0068548084,0.0011127974,0.0017789936,0.00011783404,0.00015860281],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009160492,0.00041716002,0.0011359194,0.00068417686,0.00034742564,0.0004128352,0.0017746933,0.0004978739,0.00018119877],"category_scores_gemma":[0.003130693,0.00030399545,0.00027891385,0.0003492087,0.0014513459,0.00022949636,0.0017049684,0.0017330243,0.00003963098],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011026085,0.0007330764,0.5219531,0.001416468,0.003570951,0.00008078348,0.024512565,0.018398875,0.00011557315,0.17081738,0.007022977,0.24035215],"study_design_scores_gemma":[0.0077122445,0.00027594712,0.07462333,0.0020500359,0.000102076665,0.000016991828,0.0018477815,0.10208748,0.00028280157,0.6743818,0.1342576,0.002361914],"about_ca_topic_score_codex":0.007134457,"about_ca_topic_score_gemma":0.001490966,"teacher_disagreement_score":0.5035644,"about_ca_system_score_codex":0.0007663071,"about_ca_system_score_gemma":0.00035185507,"threshold_uncertainty_score":0.99994123},"labels":[],"label_agreement":null},{"id":"W3124892041","doi":"10.17016/feds.2019.066","title":"Policy Uncertainty and Bank Mortgage Credit","year":2019,"lang":"en","type":"article","venue":"Finance and Economics Discussion Series","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Loan; Quarter (Canadian coin); Business; Monetary economics; State (computer science); Financial system; Economics; Finance","score_opus":0.013433465310636284,"score_gpt":0.20603292019644923,"score_spread":0.19259945488581295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124892041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9320582,0.0003794354,0.000032052336,0.0037113894,0.000578301,0.00020270416,0.00014907782,0.00004405264,0.06284475],"genre_scores_gemma":[0.978782,0.011171328,0.00039470269,0.00041868843,0.00024595662,0.000020665399,0.00003187783,0.000043142845,0.008891623],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983369,0.000010151768,0.0005825025,0.000643921,0.000014046357,0.0004124416],"domain_scores_gemma":[0.9991354,0.000031010073,0.00030089993,0.00040867564,0.000011867405,0.000112190464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036167575,0.00026097876,0.00058304286,0.00021012002,0.00020483862,0.0002198088,0.0001679636,0.00016174292,0.00027357743],"category_scores_gemma":[0.000037700673,0.00022996993,0.00008319079,0.00010337639,0.00015263449,0.0009373884,0.00020397002,0.00015613406,0.0004254545],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017661115,0.00005783006,0.20617837,0.00012478694,0.000054440174,0.000003217375,0.0014399124,0.0007384407,0.000023040606,0.76554143,0.0013442263,0.024317686],"study_design_scores_gemma":[0.0014757345,0.00023567193,0.097695276,0.0000646225,0.000009201132,0.00004159688,0.0007992332,0.0074400916,0.000063823856,0.23134327,0.6597449,0.001086552],"about_ca_topic_score_codex":0.00016746923,"about_ca_topic_score_gemma":0.00008820751,"teacher_disagreement_score":0.6584007,"about_ca_system_score_codex":0.000085072796,"about_ca_system_score_gemma":0.000046394827,"threshold_uncertainty_score":0.93779016},"labels":[],"label_agreement":null},{"id":"W3124892443","doi":"10.15396/eres2007_382","title":"Advanced Forecasting Information System - PYTHIA: Application in Real Estate","year":2007,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Real estate; SQL; Database; Chart; Information system; Index (typography); Data mining; Industrial engineering; Real-time computing; Finance; Programming language; Engineering","score_opus":0.02267802973103972,"score_gpt":0.20607824978737774,"score_spread":0.18340022005633802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124892443","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39832854,0.000003446667,0.053205285,0.000026432792,0.0001462603,0.00014614491,0.000004823767,0.00006543092,0.5480736],"genre_scores_gemma":[0.9958191,0.000099491874,0.0038727503,0.00003967192,0.000040632567,0.000015579075,0.000024396046,0.0000107388,0.00007761965],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99884284,0.000002997562,0.0007335413,0.00015450208,0.000014969235,0.00025117616],"domain_scores_gemma":[0.99943894,0.000037224898,0.00029549972,0.00016525992,0.000016864837,0.000046202036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012145839,0.00008591489,0.00018749078,0.00029834887,0.00005344122,0.000050021383,0.00009187747,0.0000774488,0.000015806127],"category_scores_gemma":[0.000036380028,0.00010774668,0.00003329562,0.00021534097,0.000012312674,0.0007216064,0.000025424835,0.00008176061,0.0003940058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000076980374,0.000022475215,0.15504675,0.00011896841,0.000008488802,0.000002364527,0.0015920724,0.0021010332,0.0000063904745,0.12910351,0.000058027847,0.7118629],"study_design_scores_gemma":[0.0026255203,0.00008481585,0.10062354,0.00006319129,0.000004618028,0.000022458978,0.0052146935,0.81367,0.00017880742,0.0056574172,0.07094948,0.0009054942],"about_ca_topic_score_codex":0.0012423439,"about_ca_topic_score_gemma":0.0008017138,"teacher_disagreement_score":0.8115689,"about_ca_system_score_codex":0.00030448948,"about_ca_system_score_gemma":0.00000894083,"threshold_uncertainty_score":0.5064279},"labels":[],"label_agreement":null},{"id":"W3125084021","doi":"10.34989/swp-2008-12","title":"A Model of Tiered Settlement Networks","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Clearing; Inefficiency; Settlement (finance); Welfare; Private information retrieval; Microeconomics; Cost structure; Network structure; Economics; Business; Computer science; Finance; Computer security; Market economy","score_opus":0.06929160109281747,"score_gpt":0.28466295134379044,"score_spread":0.21537135025097298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125084021","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5132243,0.0009778686,0.00064109615,0.00040345325,0.0012842969,0.00089657656,0.00064872287,0.000049134775,0.48187453],"genre_scores_gemma":[0.9637902,0.030651374,0.0031243777,0.00012484821,0.00023253253,0.00018055364,0.0002961199,0.00013663387,0.0014634107],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99524075,0.00010253966,0.002061504,0.0014428351,0.000077958015,0.0010744387],"domain_scores_gemma":[0.99682635,0.00031470065,0.0008206141,0.0017018894,0.000108240216,0.0002281805],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0035202743,0.0004374053,0.0014965369,0.0008587594,0.000118037424,0.00023985932,0.000987133,0.00078459457,0.0003904857],"category_scores_gemma":[0.00040509697,0.0006215867,0.00045848842,0.00019316206,0.00028350472,0.00016786602,0.0017656808,0.0017117506,0.000020544307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011204537,0.00039702552,0.0319638,0.00038325874,0.00029636428,0.000016892234,0.00084554334,0.8966588,0.000016185682,0.008189569,0.00023571761,0.060884837],"study_design_scores_gemma":[0.0007432898,0.00005213483,0.0016394549,0.00019197886,0.000007973892,0.0000025181657,0.0003535427,0.9757372,0.00003633199,0.014966515,0.005584109,0.0006849342],"about_ca_topic_score_codex":0.00017962631,"about_ca_topic_score_gemma":0.000420443,"teacher_disagreement_score":0.4804111,"about_ca_system_score_codex":0.0012715281,"about_ca_system_score_gemma":0.00049055583,"threshold_uncertainty_score":0.99962354},"labels":[],"label_agreement":null},{"id":"W3125111828","doi":"","title":"The Impact of Repossession Risk on Mortgage Default","year":2018,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Default; Quarter (Canadian coin); Actuarial science; Default risk; Business; Economics; Finance; Credit risk; Law","score_opus":0.04794550917509535,"score_gpt":0.33173378475160364,"score_spread":0.2837882755765083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125111828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65584254,0.00019135563,0.000006480163,0.000075192904,0.0007638709,0.00051894615,0.00027623895,0.00002689416,0.3422985],"genre_scores_gemma":[0.96218926,0.035228424,0.00020747815,0.000015192458,0.00044004832,0.00011439317,0.000049116137,0.00012691221,0.0016291919],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9951264,0.0002615054,0.0020384633,0.0013518577,0.00009545827,0.0011262677],"domain_scores_gemma":[0.99413556,0.00127073,0.0016925366,0.002543814,0.00012787587,0.00022948245],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0077218376,0.00049357617,0.0011589185,0.0008133355,0.00051925663,0.00034940493,0.0014229546,0.00072743517,0.00022872821],"category_scores_gemma":[0.002146529,0.00044641373,0.0007407588,0.0002144548,0.00071228633,0.00014054896,0.001213034,0.0023164991,0.00017117067],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016040243,0.0010131208,0.5454162,0.00029497483,0.0011455726,0.000043785796,0.0014499228,0.08095015,0.000028598231,0.007993807,0.0025948065,0.3574651],"study_design_scores_gemma":[0.0032585268,0.0019815343,0.3899389,0.0009653485,0.00003442339,0.000024553116,0.0007647975,0.22243136,0.0003304592,0.3369962,0.04033241,0.002941508],"about_ca_topic_score_codex":0.0014420326,"about_ca_topic_score_gemma":0.00037879578,"teacher_disagreement_score":0.35452357,"about_ca_system_score_codex":0.0019298344,"about_ca_system_score_gemma":0.00046275722,"threshold_uncertainty_score":0.9999852},"labels":[],"label_agreement":null},{"id":"W3125140313","doi":"10.15396/eres2010_241","title":"ASSESSING THE EFFECT OF ACCESSIBILITY TO AMENITIES IN THE LOCATION RENT SEARCHING FOR MARKET SEGMENTATION OF PREFERENCES","year":2010,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market segmentation; Segmentation; Computer science; Business; Artificial intelligence; Industrial organization; Marketing","score_opus":0.05271081876687418,"score_gpt":0.32336117549730115,"score_spread":0.270650356730427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125140313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9692639,0.000012617146,0.0043897294,0.0002410983,0.00015767348,0.0004995796,0.000008858376,0.0000040215655,0.025422502],"genre_scores_gemma":[0.99872184,0.0000091273205,0.001100558,0.000034165445,0.000027803086,0.00006246391,0.000004724021,0.0000047098943,0.00003459067],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99927235,0.0000597997,0.0004015898,0.00013893894,0.00002392518,0.000103392755],"domain_scores_gemma":[0.99876463,0.0007804857,0.00021742197,0.00020346956,0.000022167404,0.000011800795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038346902,0.000060292277,0.00017095367,0.00009179733,0.00006388338,0.000109415014,0.00022397979,0.00003191281,0.00007373246],"category_scores_gemma":[0.00033386453,0.000039019884,0.00004014642,0.00012653547,0.00004846419,0.00026981463,0.000029390594,0.00008345564,0.0000018288954],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012483289,0.00006445107,0.89192104,0.00035723535,0.000023581146,3.4779884e-8,0.0044523235,0.0003938003,0.0008214062,0.007936078,0.00024059771,0.09366459],"study_design_scores_gemma":[0.00065091636,0.00029878534,0.9380613,0.000047862384,0.000012187115,5.01723e-7,0.0030173978,0.0234763,0.011157797,0.022632614,0.00046400505,0.00018032818],"about_ca_topic_score_codex":0.00035208126,"about_ca_topic_score_gemma":0.0004812385,"teacher_disagreement_score":0.09348426,"about_ca_system_score_codex":0.000023648168,"about_ca_system_score_gemma":0.000015399899,"threshold_uncertainty_score":0.15911847},"labels":[],"label_agreement":null},{"id":"W3125166648","doi":"","title":"The Making of America's Imbalances","year":2012,"lang":"en","type":"article","venue":"The Faculty Digital Archive (New York University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Volkswagen Foundation; York University","keywords":"Boom; Financial crisis; Asset (computer security); Economics; Global imbalances; Financial market; Monetary economics; Financial asset; Financial system; Emerging markets; Business; Finance; Current account; Exchange rate; Macroeconomics","score_opus":0.03618792081136454,"score_gpt":0.20160719827883725,"score_spread":0.1654192774674727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125166648","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.083661474,0.000276,0.0049148947,0.0010807368,0.0003291901,0.00014790599,0.00045994687,0.00004473867,0.9090851],"genre_scores_gemma":[0.9928591,0.000089899695,0.00031873188,0.00007445439,0.000109915854,2.4650186e-7,0.000024261803,0.000011290708,0.006512095],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993012,0.0000125668685,0.00019904782,0.00014220687,0.00002634731,0.00031864975],"domain_scores_gemma":[0.99929774,0.00012508468,0.00026963552,0.00024414677,0.000008199975,0.000055178738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012974208,0.00010959145,0.00019459217,0.00008506343,0.0002602472,0.00009350501,0.00051321974,0.000025021725,0.000026941943],"category_scores_gemma":[0.000046397246,0.000084828316,0.00014020182,0.00021744246,0.00026412122,0.00037978485,0.00017252535,0.00010279084,0.000261599],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003409571,0.00018689221,0.26517543,0.00002693467,0.0004315753,0.000003815021,0.010841098,0.00042501817,0.000015846152,0.5474313,0.04914078,0.12598036],"study_design_scores_gemma":[0.00019591332,0.00002693742,0.010607579,0.000008846448,0.0000073952406,0.0000019908666,0.001758603,0.00022751994,0.0000064148066,0.010668458,0.97634363,0.0001466903],"about_ca_topic_score_codex":0.000106210864,"about_ca_topic_score_gemma":0.0000231511,"teacher_disagreement_score":0.9272029,"about_ca_system_score_codex":0.00005104002,"about_ca_system_score_gemma":0.000020004574,"threshold_uncertainty_score":0.34591985},"labels":[],"label_agreement":null},{"id":"W3125182198","doi":"10.3386/w8835","title":"The Impact of Zoning on Housing Affordability","year":2002,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":187,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University","keywords":"Zoning; Business; Environmental planning; Geography; Civil engineering; Engineering","score_opus":0.433277612109689,"score_gpt":0.4852654895604762,"score_spread":0.0519878774507872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125182198","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05077176,0.0010248075,0.000006398857,0.00020681827,0.00072492997,0.00043811943,0.0003290132,0.000013839657,0.9464843],"genre_scores_gemma":[0.99016416,0.0056091906,0.00008188484,0.000004244547,0.00069478306,0.000036603622,0.000095768206,0.00007698497,0.0032364083],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99623847,0.00010636073,0.0019576168,0.0007012047,0.00034177824,0.0006545914],"domain_scores_gemma":[0.9945378,0.0022662336,0.001525579,0.00078131247,0.0007708301,0.00011828397],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.014050213,0.00031133642,0.0010472472,0.0010325208,0.000353742,0.00014904675,0.00086368644,0.0004623857,0.0010374998],"category_scores_gemma":[0.0030689952,0.00028698967,0.0007341352,0.00025563047,0.0005477452,0.00018273246,0.00021075777,0.00093537045,0.00041468322],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038362964,0.00054247986,0.061918456,0.0003871982,0.0013140115,0.0000030088604,0.00027933583,0.017557828,0.00001335905,0.7807204,0.1203269,0.016553404],"study_design_scores_gemma":[0.0007978404,0.0005745493,0.010691039,0.00021787104,0.000011333964,0.000010152514,0.00006460383,0.01162179,0.00006663097,0.9414575,0.033831313,0.0006553862],"about_ca_topic_score_codex":0.0051639793,"about_ca_topic_score_gemma":0.00022860651,"teacher_disagreement_score":0.9432479,"about_ca_system_score_codex":0.005166341,"about_ca_system_score_gemma":0.0015768223,"threshold_uncertainty_score":0.9999582},"labels":[],"label_agreement":null},{"id":"W3125195351","doi":"10.3386/w15283","title":"House Prices, Home Equity-Based Borrowing, and the U.S. Household Leverage Crisis","year":2009,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Booth School of Business, University of Chicago; University of Chicago; National Science Foundation","keywords":"Leverage (statistics); Financial crisis; Equity (law); House price; Home equity; Business; Economics; Financial system; Monetary economics; Finance; Macroeconomics; Political science","score_opus":0.3141291097893582,"score_gpt":0.4196970973425054,"score_spread":0.10556798755314717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125195351","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17751628,0.008534566,0.0009973898,0.026221285,0.0021445362,0.0029881545,0.0015359863,0.0002706303,0.7797912],"genre_scores_gemma":[0.9938656,0.0031720353,0.0012429398,0.0005088075,0.0005619149,0.000116879295,0.00014371492,0.000104423176,0.00028366275],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99632347,0.00016206774,0.0014997849,0.0010850523,0.00023798467,0.00069166056],"domain_scores_gemma":[0.9967929,0.0010495592,0.00090623926,0.0008714854,0.00020252254,0.00017728012],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.011942412,0.00038711014,0.0011488216,0.0012157834,0.00033393913,0.0005750048,0.0013391091,0.0005644498,0.00024090131],"category_scores_gemma":[0.00049309747,0.00039854323,0.00039187004,0.00019562784,0.0006129928,0.0002786522,0.0011567652,0.0013954808,0.0002576812],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029098373,0.00012653538,0.0017337685,0.00021311415,0.00017560745,0.0000021474218,0.00024445218,0.012286271,0.0000030963324,0.96098554,0.022957064,0.0009814106],"study_design_scores_gemma":[0.002116387,0.00005865223,0.0013616381,0.00005990248,0.000012421126,0.0000024055344,0.00004205992,0.015321792,0.000032549917,0.9719281,0.008621571,0.00044247764],"about_ca_topic_score_codex":0.001967678,"about_ca_topic_score_gemma":0.000115841816,"teacher_disagreement_score":0.8163493,"about_ca_system_score_codex":0.0011593204,"about_ca_system_score_gemma":0.0006912262,"threshold_uncertainty_score":0.99984664},"labels":[],"label_agreement":null},{"id":"W3125209156","doi":"10.1184/r1/6703127","title":"A New Approach to Estimating the Production Function for Housing","year":2018,"lang":"en","type":"article","venue":"Research Showcase @ Carnegie Mellon University (Carnegie Mellon University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Production (economics); Function (biology); Production function; Econometrics; Public housing; Economics; Microeconomics; Economic growth","score_opus":0.13084669469421628,"score_gpt":0.27537824482832857,"score_spread":0.14453155013411229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125209156","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17359142,0.00012117923,0.36022452,0.0028805535,0.0030179217,0.0027903514,0.000114684924,0.00039405926,0.4568653],"genre_scores_gemma":[0.9058728,0.00027394094,0.027098272,0.0001578801,0.002769038,0.000003950013,0.000069007925,0.00013190375,0.063623175],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964789,0.00025826335,0.00039030003,0.001470025,0.0002239798,0.0011785027],"domain_scores_gemma":[0.99716896,0.0003985274,0.00030492886,0.001086469,0.0005025567,0.0005385646],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0029221256,0.00037464616,0.00056724757,0.0018044573,0.0023443766,0.00032592696,0.0011421249,0.00029094957,0.00015737338],"category_scores_gemma":[0.000700741,0.0004489088,0.00033255728,0.0025484913,0.00046569636,0.0010080845,0.00059890415,0.00064370193,0.00057301327],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0074489713,0.0012035462,0.0063882973,0.0007294928,0.0013640719,0.0002469916,0.015894793,0.025454456,0.001956363,0.53445023,0.32619658,0.07866623],"study_design_scores_gemma":[0.0016404414,0.00058352825,0.00028074672,0.000092712035,0.00011718781,0.000018217404,0.00920456,0.036492936,0.00051312335,0.0037860654,0.9463705,0.0009000235],"about_ca_topic_score_codex":0.002580187,"about_ca_topic_score_gemma":0.0007152895,"teacher_disagreement_score":0.7322814,"about_ca_system_score_codex":0.0016396312,"about_ca_system_score_gemma":0.00039759217,"threshold_uncertainty_score":0.9997963},"labels":[],"label_agreement":null},{"id":"W3125270728","doi":"","title":"Do House Prices Impact Consumption and Interest Rate? Evidence from OECD Countries using an Agnostic Identification Procedure","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; House price; Welfare economics; Interest rate; Shock (circulatory); Consumption (sociology); Economy; Monetary economics; Humanities","score_opus":0.16048192940929687,"score_gpt":0.34918624025176354,"score_spread":0.18870431084246667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125270728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99380445,0.0019692227,0.00005598629,0.00006803253,0.000703377,0.0009694861,0.00039345658,0.00008981051,0.0019461944],"genre_scores_gemma":[0.9357094,0.06305545,0.0005149667,0.000032179665,0.0002726949,0.00011387977,0.00009812947,0.00014472399,0.000058573187],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99545056,0.00020044063,0.0016014451,0.0018544184,0.00006391203,0.0008292221],"domain_scores_gemma":[0.9961958,0.00087907765,0.0011415881,0.0013583979,0.00010911917,0.0003160511],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004292878,0.0005302318,0.001032699,0.0009977171,0.00029453856,0.0012976297,0.000879729,0.0007218013,0.0004579346],"category_scores_gemma":[0.0009015581,0.000656277,0.00017668183,0.00009212811,0.000536945,0.0011921196,0.0008444828,0.0012524984,0.00019530488],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069341523,0.0004401093,0.95862097,0.001045344,0.00040326788,0.0000320719,0.0049481406,0.011218027,0.00031643044,0.0024717473,0.000054408738,0.019756049],"study_design_scores_gemma":[0.0017295594,0.00040148702,0.75346357,0.002338513,0.00009646445,0.00003850308,0.0011066791,0.16708198,0.00056072907,0.068562284,0.0015893664,0.003030892],"about_ca_topic_score_codex":0.0019382607,"about_ca_topic_score_gemma":0.0016924838,"teacher_disagreement_score":0.20515744,"about_ca_system_score_codex":0.0015939921,"about_ca_system_score_gemma":0.00041579682,"threshold_uncertainty_score":0.9997391},"labels":[],"label_agreement":null},{"id":"W3125328784","doi":"","title":"The Real Estate Conundrum in the CEE Office Markets: Thinking Too Big?","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Real estate; CITES; Capitalization rate; Capitalization; Property market; Financial economics; Economics; Benchmark (surveying); Value (mathematics); Real estate investment trust; Business; Economy; Finance; Geography","score_opus":0.04080848563365208,"score_gpt":0.27929036965288706,"score_spread":0.23848188401923498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125328784","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4374797,0.00014859338,0.0000035606192,0.001959487,0.0019934573,0.0009077348,0.000116481264,0.0000396914,0.5573513],"genre_scores_gemma":[0.8190267,0.17539316,0.00047244536,0.00042778006,0.0009941455,0.00052265066,0.000111284,0.00021201957,0.0028398263],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9937306,0.0004606798,0.0021881296,0.0016252934,0.00015953154,0.00183579],"domain_scores_gemma":[0.99309766,0.0030911334,0.00089625694,0.0026460835,0.000079611294,0.00018926081],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.019067457,0.0006044072,0.0010954144,0.00086302514,0.00083346793,0.0015763624,0.0034797704,0.0009919403,0.00010674423],"category_scores_gemma":[0.0013820201,0.0005496036,0.00039145595,0.000336761,0.0008128608,0.00023756569,0.0017866864,0.0056111785,0.00016316096],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008158735,0.00048604305,0.07826408,0.00036380568,0.0002778104,0.00013891081,0.0074257688,0.005027197,0.000010770135,0.044383254,0.0009363855,0.8618701],"study_design_scores_gemma":[0.0019081172,0.00012108033,0.07425526,0.00025246388,0.000014528444,0.000032512547,0.0042461716,0.036321707,0.000013584706,0.09149248,0.7895273,0.0018148046],"about_ca_topic_score_codex":0.0023483704,"about_ca_topic_score_gemma":0.01508103,"teacher_disagreement_score":0.86005527,"about_ca_system_score_codex":0.0013182409,"about_ca_system_score_gemma":0.0005763936,"threshold_uncertainty_score":0.99969554},"labels":[],"label_agreement":null},{"id":"W3125377897","doi":"10.2139/ssrn.1026270","title":"Canadian City Housing Prices and Urban Market Segmentation","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada; Queen's University; Government of Canada","funders":"","keywords":"Market segmentation; Segmentation; Business; Economics; Economic geography; Microeconomics; Artificial intelligence; Computer science","score_opus":0.010887745450589247,"score_gpt":0.20152298031820484,"score_spread":0.1906352348676156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125377897","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8945323,0.002162571,0.00954912,0.0005077442,0.00037101313,0.000093125935,0.0000073816154,0.000018802522,0.092757896],"genre_scores_gemma":[0.99432564,0.0038444165,0.0004331698,0.00016245768,0.0003011388,8.2124444e-7,0.0000031979155,0.00002225003,0.0009069138],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977454,0.000009117255,0.0004034985,0.00020683884,0.000024061006,0.0016110681],"domain_scores_gemma":[0.9994082,0.00003198136,0.00024977818,0.00009894588,0.000017909002,0.00019321873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038262687,0.000118579985,0.00018816021,0.00034885,0.00031700547,0.00015834621,0.00012295411,0.000084607884,0.00016091064],"category_scores_gemma":[0.00004249683,0.00014482783,0.00005316778,0.00012681066,0.000028341381,0.00032952672,0.000017036036,0.0005899515,0.000032257918],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052670097,0.00002665473,0.798407,0.000009383658,0.0001223183,0.0000073774604,0.00049247214,0.000010394856,0.000014274774,0.15350468,0.00065841276,0.04669434],"study_design_scores_gemma":[0.0020468347,0.00032046915,0.17560172,0.00003083434,0.00003913419,0.0004944328,0.003488685,0.0017493273,0.00007705466,0.73394495,0.08106402,0.0011425589],"about_ca_topic_score_codex":0.0149849085,"about_ca_topic_score_gemma":0.25388253,"teacher_disagreement_score":0.6228053,"about_ca_system_score_codex":0.002208642,"about_ca_system_score_gemma":0.00047083967,"threshold_uncertainty_score":0.9915744},"labels":[],"label_agreement":null},{"id":"W3125384938","doi":"10.2139/ssrn.3306884","title":"Policy Uncertainty and Bank Mortgage Credit","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Bee Research Fund","keywords":"Financial system; Business; Shared appreciation mortgage; Mortgage underwriting; Mortgage insurance; Economics; Actuarial science; Insurance policy","score_opus":0.013534293744081738,"score_gpt":0.22312715009024622,"score_spread":0.20959285634616448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125384938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83563745,0.0015593676,0.0044830237,0.00251638,0.00071463565,0.000099745,0.000016938287,0.000046514877,0.15492593],"genre_scores_gemma":[0.9873197,0.007884381,0.00011043791,0.0002929327,0.0021359692,0.0000020652956,0.0000025861766,0.00003012344,0.002221812],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976167,0.000016194655,0.00042766042,0.000266237,0.000025415018,0.0016477612],"domain_scores_gemma":[0.99937177,0.00002694059,0.00025616438,0.00019362255,0.00003155942,0.00011996045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018642393,0.00014738932,0.0002751997,0.00027244652,0.0003109415,0.00013932782,0.00021845379,0.00009526875,0.00018157961],"category_scores_gemma":[0.00014018868,0.00016425656,0.000085871354,0.00016301137,0.00013143836,0.00025489824,0.000055971916,0.00075183203,0.00032807913],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040184448,0.000027849917,0.01659384,0.000004235849,0.00009909315,0.0000016520074,0.00024894736,0.000014571645,0.000009674345,0.9595955,0.000487793,0.02287668],"study_design_scores_gemma":[0.0006127086,0.0002680149,0.0031210855,0.0000061115084,0.000006782792,0.00021239316,0.0002397918,0.0014724068,0.000008168164,0.9521485,0.041648883,0.00025516938],"about_ca_topic_score_codex":0.0004352404,"about_ca_topic_score_gemma":0.00087331934,"teacher_disagreement_score":0.1527041,"about_ca_system_score_codex":0.00074864365,"about_ca_system_score_gemma":0.0005203047,"threshold_uncertainty_score":0.6698188},"labels":[],"label_agreement":null},{"id":"W3125401444","doi":"10.3390/jrfm1010001","title":"Do REITs Outperform Stocks and Fixed-Income Assets? New Evidence from Mean-Variance and Stochastic Dominance Approaches","year":2008,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Sains Malaysia; Hong Kong Baptist University","keywords":"Stochastic dominance; Fixed income; Real estate; Economics; Arbitrage; Expected utility hypothesis; Dominance (genetics); Econometrics; Order (exchange); Financial economics; Variance (accounting); Risk aversion (psychology); Estate; Actuarial science; Finance; Bond","score_opus":0.04415252896126183,"score_gpt":0.208898186017278,"score_spread":0.16474565705601618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125401444","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9090353,0.013608375,0.075209565,0.00016218646,0.00049387524,0.00019705358,0.000029534845,0.000009568951,0.0012544928],"genre_scores_gemma":[0.9531127,0.038889214,0.0073516844,0.000049358892,0.00036063942,0.000004286171,8.9312164e-7,0.000019111845,0.00021211056],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984511,0.00002031224,0.0007848559,0.0004019468,0.00006778101,0.00027397324],"domain_scores_gemma":[0.99861294,0.00015908564,0.00080090994,0.00022259643,0.000025476887,0.00017898512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008906255,0.00022510688,0.00063190365,0.00023849767,0.000269313,0.0001324116,0.00019554805,0.00011277041,0.000020810934],"category_scores_gemma":[0.00022419187,0.00023329386,0.000076496246,0.00013511426,0.0001204641,0.0006070159,0.00016950986,0.00030074234,0.000011290274],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008796934,0.00014136021,0.5073169,0.00019016532,0.00016935499,0.00014978401,0.0067143696,0.0011117037,0.0000029764794,0.025857152,0.0016042563,0.4558623],"study_design_scores_gemma":[0.0025227289,0.00032312082,0.93754655,0.0004461455,0.00010568849,0.00010452611,0.00022468963,0.0030206451,0.0000056329964,0.041813362,0.013292934,0.00059396564],"about_ca_topic_score_codex":0.00022872862,"about_ca_topic_score_gemma":0.00005826333,"teacher_disagreement_score":0.45526835,"about_ca_system_score_codex":0.00007209678,"about_ca_system_score_gemma":0.000033650445,"threshold_uncertainty_score":0.9513447},"labels":[],"label_agreement":null},{"id":"W3125408697","doi":"","title":"Diversification When It Hurts? The Joint Distributions of Real Estate and Equity Markets","year":2005,"lang":"en","type":"preprint","venue":"CentAUR (University of Reading)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Equity (law); Real estate; Financial economics; Tail dependence; Diversification (marketing strategy); Economics; Copula (linguistics); Portfolio; Asset allocation; Real estate investment trust; Econometrics; Business; Finance; Mathematics; Statistics","score_opus":0.05143940083144558,"score_gpt":0.21942151701900925,"score_spread":0.16798211618756367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125408697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83012044,0.000084237276,0.0024243847,0.0026107088,0.0003560457,0.00030157575,0.0014781769,0.000027510954,0.1625969],"genre_scores_gemma":[0.98305756,0.014582885,0.001132045,0.000014408381,0.000045502693,4.476195e-7,0.00027671666,0.000013010711,0.0008773985],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989402,0.000029917868,0.00035808145,0.00040661998,0.000041708878,0.00022343925],"domain_scores_gemma":[0.99839777,0.000059422946,0.00091026374,0.0004898425,0.00005631349,0.000086395965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074703334,0.00016497554,0.00048467968,0.00017384435,0.0002402599,0.000041299194,0.00043288476,0.00019730952,0.00034757474],"category_scores_gemma":[0.000040824405,0.00021218593,0.00018915263,0.000074824275,0.00034976602,0.00018142174,0.0010986926,0.00025616397,0.000038794664],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009539591,0.0011927568,0.24226162,0.0025446664,0.0020782405,0.000021154383,0.063960075,0.00065854675,0.00036043936,0.23950577,0.08519267,0.3612701],"study_design_scores_gemma":[0.0027438626,0.00013747005,0.6771375,0.0005414287,0.00045871202,0.000009455635,0.0128486445,0.01773333,0.00021139036,0.052803464,0.23362757,0.0017471771],"about_ca_topic_score_codex":0.0033616778,"about_ca_topic_score_gemma":0.00034808778,"teacher_disagreement_score":0.43487588,"about_ca_system_score_codex":0.00032004333,"about_ca_system_score_gemma":0.000051858053,"threshold_uncertainty_score":0.8652691},"labels":[],"label_agreement":null},{"id":"W3125497250","doi":"","title":"Arrested Development: Theory and Evidence of Supply-Side Speculation in the Housing Market","year":2013,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Speculation; Boom; Download; Economics; Renting; Intuition; House price; Supply side; Developing country; Monetary economics; Market economy; Finance; Engineering; Economic growth","score_opus":0.03138818712516914,"score_gpt":0.21571788573771047,"score_spread":0.18432969861254134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125497250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.903739,0.00045739266,0.0009419893,0.0003516156,0.000068544,0.00019059738,7.609603e-7,0.000009614618,0.0942405],"genre_scores_gemma":[0.9975336,0.00026280427,0.0016925363,0.00016181133,0.000020370962,0.000012051719,0.0000012776701,0.00000935703,0.00030619724],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913657,0.00004440763,0.00046053025,0.00018534414,0.000018533869,0.00015463895],"domain_scores_gemma":[0.99926305,0.00035263915,0.0001700419,0.0001784459,0.000012342733,0.000023506489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018209912,0.00008419016,0.00018488271,0.00014324434,0.00005048934,0.00008082102,0.0001322678,0.00004900425,0.0006653475],"category_scores_gemma":[0.00018873136,0.00007462858,0.000024470779,0.0001264753,0.00004984716,0.0003666916,0.000039785748,0.00006628428,0.00008110067],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054931832,0.000047797315,0.8581553,0.00009220775,0.000021024767,0.0000013199938,0.0027873137,0.00005980338,0.0000630849,0.11784172,0.00059083645,0.020284668],"study_design_scores_gemma":[0.00023141087,0.0000129418395,0.923528,0.00007693715,0.0000020813525,0.0000023086375,0.00043296348,0.0032819174,0.0001011852,0.07099337,0.0011724895,0.00016437456],"about_ca_topic_score_codex":0.0003291959,"about_ca_topic_score_gemma":0.00019422076,"teacher_disagreement_score":0.093934305,"about_ca_system_score_codex":0.000039273746,"about_ca_system_score_gemma":0.000015751453,"threshold_uncertainty_score":0.72850883},"labels":[],"label_agreement":null},{"id":"W3125498746","doi":"10.5430/rwe.v8n1p1","title":"Mall Flicks - The Mall Boom in Turkey with an Unexpected Byproduct: The Movie Sector Expansion","year":2017,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Boom; Real estate; Shopping mall; Metropolitan area; Urbanization; Construct (python library); Business; Resizing; Economics; Economy; Advertising; Economic growth; Computer science; Engineering; Geography; Economic policy; Finance","score_opus":0.13818246249650581,"score_gpt":0.3168477842779853,"score_spread":0.1786653217814795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125498746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76327205,0.00034054302,0.000009577925,0.012522443,0.00022871335,0.0007569246,0.000017730397,0.000024265777,0.22282775],"genre_scores_gemma":[0.99533457,0.0003160889,0.00016356447,0.00029556663,0.00042566482,0.00021691549,0.000014131211,0.000060992836,0.003172521],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971776,0.00016383418,0.00072262355,0.0008756728,0.00006671921,0.0009935602],"domain_scores_gemma":[0.9969245,0.00030100576,0.00032496615,0.0022399453,0.000052403047,0.00015713352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005071217,0.0002526591,0.00048641476,0.0006964883,0.0008134606,0.00097123435,0.0017488304,0.000105524276,0.0006933868],"category_scores_gemma":[0.00018438092,0.00019145203,0.00007979188,0.0004163654,0.0005008287,0.0014900833,0.00037578118,0.0010006314,0.00047334936],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006387303,0.00046795243,0.8467257,0.0001084747,0.0000969491,0.00008500308,0.0021092922,0.002991629,0.000025756688,0.13213564,0.003968932,0.010645944],"study_design_scores_gemma":[0.0026902938,0.00025515488,0.3807003,0.00015910053,0.0000051099464,0.000014710123,0.0010453314,0.03682517,0.00010279046,0.05398167,0.5232748,0.0009455936],"about_ca_topic_score_codex":0.005748247,"about_ca_topic_score_gemma":0.017362218,"teacher_disagreement_score":0.5193059,"about_ca_system_score_codex":0.0004593803,"about_ca_system_score_gemma":0.00014044915,"threshold_uncertainty_score":0.9688525},"labels":[],"label_agreement":null},{"id":"W3125516701","doi":"10.1111/j.1540-6229.2005.00135.x","title":"An Empirical Test of a Two-Factor Mortgage Valuation Model: How Much Do House Prices Matter?","year":2005,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of North Carolina at Chapel Hill; University of British Columbia; Keio University; Rice University; University of Southern California","keywords":"Prepayment of loan; Economics; Valuation (finance); House price; Econometrics; Interest rate; Financial economics; Actuarial science; Monetary economics; Finance","score_opus":0.05531549997115741,"score_gpt":0.27886979947191554,"score_spread":0.2235542995007581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125516701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9533704,0.000023334182,0.0021685997,0.00065833883,0.00019800442,0.00027494103,0.00042926645,0.000120435725,0.042756677],"genre_scores_gemma":[0.9859015,0.0038222824,0.009436547,0.00018601726,0.00026178567,0.000022507063,0.000052492756,0.00013503265,0.0001818394],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976475,0.00002374378,0.001060216,0.00072096236,0.000033308123,0.00051423884],"domain_scores_gemma":[0.99793565,0.00014635245,0.00089786836,0.00073441165,0.000046912064,0.00023881467],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00073809427,0.0003325491,0.00073641015,0.0003383923,0.00011676391,0.000277455,0.0004377592,0.0001851109,0.0002286968],"category_scores_gemma":[0.00005060673,0.00042189247,0.00018974573,0.00012420534,0.000103380546,0.0012895544,0.00008015336,0.00020620436,0.0005603248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013177792,0.0010226639,0.72961,0.00012643904,0.00016187229,0.0000039760457,0.0069751088,0.16666509,0.00021511123,0.011873801,0.0010621675,0.08215197],"study_design_scores_gemma":[0.0012209887,0.00015836536,0.029318089,0.000010354136,0.000021389513,0.0000074955706,0.00017818128,0.95164883,0.00034827238,0.012117006,0.004279778,0.00069122826],"about_ca_topic_score_codex":0.0002775323,"about_ca_topic_score_gemma":0.00042105865,"teacher_disagreement_score":0.78498375,"about_ca_system_score_codex":0.00043580515,"about_ca_system_score_gemma":0.00010236392,"threshold_uncertainty_score":0.9998233},"labels":[],"label_agreement":null},{"id":"W3125621646","doi":"","title":"Can Space Syntax Help Us in Understanding the Intraurban Office Rent Pattern? Accessiblity and Rents in Downtown Stockholm","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Economic rent; Downtown; Space syntax; Space (punctuation); Point (geometry); Variation (astronomy); Base (topology); Syntax; Economics; Econometrics; Microeconomics; Geography; Computer science; Mathematics; Geometry; Artificial intelligence; Archaeology","score_opus":0.0262975010886553,"score_gpt":0.22973174690991044,"score_spread":0.20343424582125513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125621646","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97964936,0.0014183768,0.008869135,0.0018772054,0.00032578976,0.00016995844,0.000007206622,0.000010588773,0.00767237],"genre_scores_gemma":[0.99456763,0.004999917,0.0000139808435,0.00013728527,0.00014229979,0.0000028775862,0.0000026260195,0.000023030092,0.000110369445],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99711514,0.000044104094,0.000730784,0.0003324218,0.000051019153,0.0017265272],"domain_scores_gemma":[0.9991943,0.00010823179,0.00038135416,0.00021126743,0.000010942835,0.00009388842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006250862,0.00018160738,0.00033292116,0.00049140607,0.00018869694,0.00019053799,0.00031290072,0.00011442415,0.00006167499],"category_scores_gemma":[0.00009160593,0.00017368478,0.000064114254,0.00036425865,0.000064572836,0.0002793011,0.00007627695,0.001556523,0.000009507735],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000111856665,0.00007838784,0.92635375,0.000011050536,0.000045511926,0.00001127282,0.00078995625,0.00012211628,0.0000067755195,0.057224452,0.000037873575,0.015207022],"study_design_scores_gemma":[0.00202503,0.00016832826,0.56474334,0.00008121752,0.00001089144,0.00015400306,0.004620715,0.0014856396,0.000016268907,0.42539433,0.0007874016,0.00051282597],"about_ca_topic_score_codex":0.0032718028,"about_ca_topic_score_gemma":0.11337548,"teacher_disagreement_score":0.36816987,"about_ca_system_score_codex":0.0039236103,"about_ca_system_score_gemma":0.00024716416,"threshold_uncertainty_score":0.99990016},"labels":[],"label_agreement":null},{"id":"W3125648992","doi":"10.1002/ijfe.2527","title":"Credit supply, house prices, and financial stability","year":2021,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Economics; Recession; Bank credit; Monetary economics; Financial crisis; Financial stability; Shadow (psychology); Financial system; Monetary policy; Credit crunch; Finance; Macroeconomics","score_opus":0.021476216467491618,"score_gpt":0.21416716392173127,"score_spread":0.19269094745423965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125648992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9828094,0.001431409,0.0010300111,0.0019294259,0.0036046172,0.000057137317,0.0001602548,0.000015377045,0.008962361],"genre_scores_gemma":[0.98159957,0.012170884,0.00459073,0.0005205896,0.0009495958,0.0000028773297,0.00000856841,0.000034925277,0.00012226717],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99814075,0.000013854147,0.0012127555,0.00034438487,0.00004097651,0.00024729013],"domain_scores_gemma":[0.99826795,0.00010215555,0.0010549014,0.0002397487,0.00023732445,0.00009792938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007659386,0.00017181171,0.0005239736,0.00019875809,0.00006818272,0.00022666987,0.0004452826,0.00013128293,0.0003140075],"category_scores_gemma":[0.00042565685,0.00022552624,0.00020110705,0.000076813885,0.00010223979,0.0007674841,0.00015047633,0.0002677847,0.00007784742],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006519471,0.00084753695,0.46039107,0.000068973,0.00046239258,0.00033747303,0.0022319485,0.0020681922,0.00019315013,0.44455543,0.008278846,0.07991302],"study_design_scores_gemma":[0.0031008967,0.00018362356,0.14833534,0.000088534376,0.000023672063,0.0007005877,0.00017625872,0.002781444,0.0017651983,0.14383431,0.6982492,0.00076092524],"about_ca_topic_score_codex":0.000034659068,"about_ca_topic_score_gemma":0.000093809555,"teacher_disagreement_score":0.6899704,"about_ca_system_score_codex":0.00032287533,"about_ca_system_score_gemma":0.00025238981,"threshold_uncertainty_score":0.91966933},"labels":[],"label_agreement":null},{"id":"W3125654869","doi":"","title":"What Goes Up Must Come Down? House Price Dynamics in the United States","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bust; Boom; Economics; Quarter (Canadian coin); House price; Foreclosure; Point (geometry); Monetary economics; Price index; Baby boom; Dynamics (music); Macroeconomics; Finance; Geography","score_opus":0.048065687287122974,"score_gpt":0.28225241752508223,"score_spread":0.23418673023795927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125654869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8824122,0.0005787476,0.00001545688,0.002218532,0.002553882,0.001461236,0.00035046507,0.00011824146,0.110291235],"genre_scores_gemma":[0.6670358,0.32889834,0.00022425684,0.00065745146,0.00032041123,0.0003596526,0.0007258675,0.0002544796,0.0015237103],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9937116,0.00038281566,0.0022540495,0.0017702489,0.00014413273,0.0017371377],"domain_scores_gemma":[0.9950896,0.0014118411,0.0008408515,0.0023008615,0.000104088394,0.00025274788],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005973975,0.0007244689,0.0014834091,0.0026019665,0.0003672071,0.0012929245,0.0024874948,0.00094694935,0.00014177953],"category_scores_gemma":[0.00060975784,0.00079275534,0.0003821533,0.0007629868,0.00069762697,0.0006755431,0.0014737194,0.0035968935,0.00022760601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011908705,0.0030279257,0.39046565,0.0017731473,0.000996638,0.00073773175,0.039774794,0.36236823,0.0000023843363,0.056125212,0.0040855682,0.13945188],"study_design_scores_gemma":[0.0032941243,0.0002518325,0.025198875,0.00062566134,0.00001723542,0.000084205596,0.022969378,0.61397666,0.0000069486373,0.04881012,0.2818456,0.0029193815],"about_ca_topic_score_codex":0.0026210707,"about_ca_topic_score_gemma":0.0054716226,"teacher_disagreement_score":0.36526677,"about_ca_system_score_codex":0.0044351597,"about_ca_system_score_gemma":0.00035701122,"threshold_uncertainty_score":0.9997438},"labels":[],"label_agreement":null},{"id":"W3125670003","doi":"","title":"Residential Construction: Using the Urban Growth Model to Estimate Housing Supply","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stock (firearms); Economics; Econometrics; Growth theory; Function (biology); Empirical research; Growth model; Microeconomics; Engineering; Mathematics; Statistics; Classical economics","score_opus":0.01623421340314522,"score_gpt":0.22878605334550103,"score_spread":0.21255183994235582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125670003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9289775,0.0007243796,0.05385076,0.0015297809,0.00047114136,0.00014707619,0.000013982037,0.000040281055,0.014245089],"genre_scores_gemma":[0.9931363,0.001704527,0.0033354512,0.00022133648,0.00062281935,0.0000029297016,0.000002483744,0.000050553666,0.0009235902],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99734104,0.000025530278,0.00060447917,0.00030654605,0.00005030131,0.0016720893],"domain_scores_gemma":[0.99935627,0.000021760769,0.00023310815,0.00024075471,0.00003461756,0.000113505084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015989519,0.00018720268,0.00029830364,0.00018672216,0.0006698145,0.00032602964,0.00036382003,0.000088251574,0.00035679858],"category_scores_gemma":[0.000039507886,0.00018677322,0.00015545245,0.0002224783,0.00007751441,0.00040105218,0.000038935195,0.00089997484,0.00020301357],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024493676,0.00006309861,0.03747326,0.000010616667,0.00025146565,0.0000071495797,0.0009116597,0.10533926,0.00005526531,0.8301915,0.000965833,0.024485946],"study_design_scores_gemma":[0.00075492123,0.00009952359,0.00047984242,0.000023889364,0.000035387337,0.0007244409,0.00030973298,0.14788412,0.000042821455,0.84550804,0.003645054,0.00049222144],"about_ca_topic_score_codex":0.00031080388,"about_ca_topic_score_gemma":0.00048029097,"teacher_disagreement_score":0.0641588,"about_ca_system_score_codex":0.0009921448,"about_ca_system_score_gemma":0.0005281273,"threshold_uncertainty_score":0.7616391},"labels":[],"label_agreement":null},{"id":"W3125671614","doi":"","title":"Long-Term Vacancy in the United States","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Boom; Vacancy defect; Quarter (Canadian coin); Term (time); Stock (firearms); Economics; Labour economics; Supply and demand; Demographic economics; Geography; Environmental science; Macroeconomics; Physics","score_opus":0.051499025307569404,"score_gpt":0.2971957266778441,"score_spread":0.24569670137027472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125671614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8212205,0.00027397237,0.000020040838,0.0010338492,0.0007802377,0.00083242473,0.00013044459,0.000039455586,0.17566907],"genre_scores_gemma":[0.9596998,0.037155773,0.00015234994,0.0005737088,0.00043385653,0.00033585346,0.0005469787,0.00013530893,0.000966362],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9949748,0.00033344052,0.001795216,0.0014336648,0.00009000772,0.0013729049],"domain_scores_gemma":[0.996302,0.00094408187,0.0006079067,0.0019082349,0.000057691504,0.00018005769],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0072296457,0.00051697396,0.0011515792,0.0020172657,0.0002012466,0.0005569653,0.0020165958,0.0007108735,0.00031253198],"category_scores_gemma":[0.0005128292,0.00056355447,0.00029179917,0.0004244059,0.00035242565,0.00016568729,0.0010414032,0.0027850305,0.00022272374],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021587858,0.00064128585,0.81732374,0.000706634,0.00020168764,0.000114228715,0.004223456,0.06425249,0.0000012850793,0.016648445,0.0006716802,0.094999194],"study_design_scores_gemma":[0.0037870468,0.0003194178,0.49515337,0.00078462873,0.000020137406,0.000036041507,0.0015505002,0.17128117,0.000013039279,0.13642718,0.18746452,0.00316296],"about_ca_topic_score_codex":0.0014078743,"about_ca_topic_score_gemma":0.002667963,"teacher_disagreement_score":0.32217038,"about_ca_system_score_codex":0.0013743605,"about_ca_system_score_gemma":0.00020768194,"threshold_uncertainty_score":0.9996816},"labels":[],"label_agreement":null},{"id":"W3125681373","doi":"","title":"What Drives House Prices in Australia? A+L4584 Cross-Country Approach","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cointegration; Disequilibrium; Economics; House price; Capital (architecture); Econometric analysis; Macroeconomics; Perspective (graphical); Econometrics; Monetary economics; International economics; Geography","score_opus":0.06192396353370104,"score_gpt":0.32220927100941227,"score_spread":0.2602853074757112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125681373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8405381,0.00048672818,0.000009703413,0.00016472308,0.003053715,0.0010454393,0.00015951232,0.00010662198,0.15443549],"genre_scores_gemma":[0.9401271,0.051583793,0.002675114,0.00012250437,0.0008472073,0.0005116357,0.0001906571,0.00033736718,0.0036046272],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99276894,0.00009614646,0.0024657832,0.0025831612,0.00012851816,0.0019574605],"domain_scores_gemma":[0.9959098,0.00044500822,0.0009488533,0.0022392222,0.00008448668,0.00037264722],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.005918545,0.0007859,0.0017699698,0.0020727483,0.00023794564,0.0024979084,0.0020890424,0.0020182095,0.0004165768],"category_scores_gemma":[0.00058456825,0.0010484153,0.00039165214,0.00038731354,0.0008685216,0.0013736113,0.0017485557,0.005354132,0.0003071628],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053766975,0.0020604217,0.8200151,0.0017851425,0.0004301688,0.00014365134,0.0060202167,0.06968935,0.000049795675,0.03301788,0.00032621843,0.06592441],"study_design_scores_gemma":[0.0075636865,0.0003405461,0.41966543,0.0013421726,0.000032327418,0.000076248216,0.0045249285,0.13408054,0.0002036449,0.16311581,0.26096466,0.008090009],"about_ca_topic_score_codex":0.0013051671,"about_ca_topic_score_gemma":0.0029201226,"teacher_disagreement_score":0.40034965,"about_ca_system_score_codex":0.0018047056,"about_ca_system_score_gemma":0.00039918334,"threshold_uncertainty_score":0.99927735},"labels":[],"label_agreement":null},{"id":"W3125693536","doi":"10.20944/preprints201810.0585.v1","title":"Revisiting the Relationship between Financial Wealth, Housing Wealth and Consumption: A Panel Analysis for the US","year":2018,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Economics; Metropolitan area; Wealth elasticity of demand; Incentive; Quarter (Canadian coin); Great recession; Finance; National wealth; Labour economics; Microeconomics","score_opus":0.3116911487867465,"score_gpt":0.34284220776651037,"score_spread":0.03115105897976389,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125693536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9800335,0.0011149481,0.010534177,0.0029803151,0.0007194573,0.0010264878,0.00028473837,0.00007785712,0.0032285182],"genre_scores_gemma":[0.9951169,0.0014656864,0.00058530155,0.00027842936,0.001985534,0.00016944163,0.000083497536,0.00005351792,0.00026168223],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996893,0.000113603615,0.0013234067,0.0011005513,0.000060239607,0.000509197],"domain_scores_gemma":[0.99500245,0.0018841677,0.0015180537,0.0013941528,0.00008016371,0.0001210296],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0054347296,0.00035635923,0.0009143092,0.00031451136,0.001187699,0.0001828111,0.0006443494,0.00042524282,0.00022902839],"category_scores_gemma":[0.001987248,0.00032151904,0.0004515908,0.0003009699,0.00029731597,0.00013005939,0.0009452085,0.0008654512,0.00041626918],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027448148,0.000008564287,0.98956627,0.00022225731,0.00032996872,3.5400296e-7,0.0007393423,0.00062874454,2.3190643e-7,0.0072557284,0.000030415964,0.001190678],"study_design_scores_gemma":[0.00026253305,0.000007663127,0.96404004,0.0000799894,0.0003682472,0.000001293463,0.00003191065,0.003822604,0.000004287067,0.020128928,0.010904062,0.00034844037],"about_ca_topic_score_codex":0.00071760034,"about_ca_topic_score_gemma":0.00018265258,"teacher_disagreement_score":0.025526224,"about_ca_system_score_codex":0.0002592625,"about_ca_system_score_gemma":0.0001416361,"threshold_uncertainty_score":0.9999237},"labels":[],"label_agreement":null},{"id":"W3125719194","doi":"","title":"CROSS-COUNTRY EVIDENCE ON THE CAUSAL RELATIONSHIP BETWEEN POLICY UNCERTAINTY AND HOUSE PRICES","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Causality (physics); Volatility (finance); Economics; House price; Panel data; Monetary policy; Granger causality; Macroeconomics; Econometrics; Monetary economics","score_opus":0.12133602823090382,"score_gpt":0.3486241160519432,"score_spread":0.22728808782103938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125719194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90023285,0.00039852707,0.0000048287397,0.0023400276,0.00039765102,0.0009654691,0.00022419101,0.00007599687,0.09536045],"genre_scores_gemma":[0.98420477,0.012547302,0.000120723904,0.0002672927,0.0008977895,0.00029864305,0.000037513313,0.00014442319,0.0014815319],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99564296,0.00018413336,0.0014608237,0.0014934877,0.00010692676,0.0011116882],"domain_scores_gemma":[0.9918271,0.0053701,0.000745726,0.001698553,0.00008187939,0.00027664384],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005874849,0.0005035592,0.0009410151,0.0010418599,0.0005702845,0.0013010813,0.001250925,0.0008083922,0.00019109136],"category_scores_gemma":[0.0056304727,0.00050960376,0.00018875461,0.00029854392,0.00085317506,0.00045288386,0.0013488556,0.0027058697,0.00030839373],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063394764,0.00005627296,0.9068567,0.00018557183,0.000088611174,0.000004458367,0.00059202977,0.0055427887,8.0410507e-7,0.07359624,0.00016744011,0.012845691],"study_design_scores_gemma":[0.0005253962,0.00012305936,0.8403755,0.0004053284,0.000009545334,0.0000046384575,0.0001924944,0.008297585,0.0000070916853,0.12828225,0.020824553,0.000952565],"about_ca_topic_score_codex":0.0029261834,"about_ca_topic_score_gemma":0.00047471118,"teacher_disagreement_score":0.093878925,"about_ca_system_score_codex":0.0018810092,"about_ca_system_score_gemma":0.0005136139,"threshold_uncertainty_score":0.99973565},"labels":[],"label_agreement":null},{"id":"W3125729328","doi":"","title":"Information, Commitment, and Separation in Illiquid Housing Markets","year":2012,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Social Sciences and Humanities Research Council of Canada; Queen's University","keywords":"Adverse selection; Incentive; Commit; Information asymmetry; Real estate; Incentive compatibility; Private information retrieval; Listing (finance); Microeconomics; Business; Market liquidity; Matching (statistics); Economics; Complete information; Finance; Computer science","score_opus":0.018489495520223394,"score_gpt":0.22511218696205978,"score_spread":0.2066226914418364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125729328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.853154,0.00092905445,0.0003821522,0.00018758136,0.001346926,0.0002579968,0.00004980057,0.000060001687,0.14363247],"genre_scores_gemma":[0.99758863,0.00050133566,0.00089380634,0.00050392805,0.00020870952,0.00003324195,0.000038719292,0.00002698503,0.00020461556],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981421,0.00003782675,0.0009945058,0.00023975041,0.000030711974,0.0005550577],"domain_scores_gemma":[0.99887145,0.00011391651,0.00047180918,0.00032252516,0.000023865745,0.00019644077],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011770995,0.0002484219,0.00048136336,0.0005201031,0.00018263899,0.00016113481,0.00014949607,0.00018960728,0.0007357567],"category_scores_gemma":[0.0001271237,0.00032670124,0.00008437083,0.00017162864,0.00014477054,0.002491508,0.00008334688,0.00020651172,0.0010824479],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027531842,0.000055503086,0.98083985,0.0000276407,0.000024235398,5.6154715e-7,0.0010404533,0.000016792479,0.0000031416591,0.013865353,0.0026358943,0.0014630404],"study_design_scores_gemma":[0.0011993403,0.000037544043,0.81402797,0.000031740587,0.000009234782,0.00003024851,0.00037974864,0.0015325304,0.000037166672,0.0017707852,0.18033126,0.0006124484],"about_ca_topic_score_codex":0.00013882726,"about_ca_topic_score_gemma":0.00014151199,"teacher_disagreement_score":0.17769536,"about_ca_system_score_codex":0.000388887,"about_ca_system_score_gemma":0.000046917503,"threshold_uncertainty_score":0.9999185},"labels":[],"label_agreement":null},{"id":"W3125749729","doi":"","title":"Recent Spatial Growth Dynamics in Wages and Housing Costs: Proximity to Urban Production Externalities and Consumer Amenities","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; University of Lethbridge","funders":"","keywords":"Metropolitan area; Urban hierarchy; Attractiveness; Externality; Economies of agglomeration; Productivity; Wage; Economics; Production (economics); Economic geography; Labour economics; Geography; Economic growth; Population; Microeconomics","score_opus":0.03573593737304867,"score_gpt":0.26783341917666753,"score_spread":0.23209748180361886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125749729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9438664,0.001302836,0.000022096814,0.001655434,0.0007191161,0.0012487259,0.00018086235,0.00004645676,0.050958082],"genre_scores_gemma":[0.8779718,0.119945586,0.00090107933,0.00014945677,0.00029822736,0.00015666736,0.000058729685,0.000085180174,0.0004332623],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9960378,0.00016408291,0.0012954093,0.0015179972,0.000075460724,0.0009092641],"domain_scores_gemma":[0.9983672,0.00022883361,0.00040602408,0.0006618251,0.00009309094,0.00024302622],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0031272315,0.0004671643,0.0010630623,0.0013892988,0.00020436208,0.00057817105,0.00037011495,0.00046722093,0.000032962373],"category_scores_gemma":[0.0008390903,0.00062995125,0.000082380706,0.00016591555,0.00043720403,0.00036794093,0.0008276952,0.0013372413,0.000008778171],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033529513,0.00021184373,0.41779673,0.00041505037,0.00008123565,0.000024407434,0.0020757974,0.000699142,0.000004522567,0.010019382,0.00007957365,0.56825703],"study_design_scores_gemma":[0.006534153,0.0012324002,0.44275612,0.0040500565,0.00007014057,0.00013948964,0.016359605,0.13953696,0.00033658504,0.28812146,0.09234879,0.00851422],"about_ca_topic_score_codex":0.0024286965,"about_ca_topic_score_gemma":0.011800334,"teacher_disagreement_score":0.5597428,"about_ca_system_score_codex":0.0038713247,"about_ca_system_score_gemma":0.00018317305,"threshold_uncertainty_score":0.9999526},"labels":[],"label_agreement":null},{"id":"W3125765528","doi":"","title":"Utilities Included: Split Incentives in Commercial Electricity Contracts","year":2017,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Electricity; Incentive; Lease; Economics; Business; Microeconomics; Industrial organization; Agricultural economics; Natural resource economics; Finance; Engineering","score_opus":0.058711270826064005,"score_gpt":0.3084215762443883,"score_spread":0.2497103054183243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125765528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6006856,0.00010458103,0.0000023130879,0.0004275976,0.00030451326,0.00027485596,0.000041370884,0.000017340426,0.3981418],"genre_scores_gemma":[0.9913272,0.006782849,0.00016951143,0.00012138451,0.0002126802,0.0000647564,0.000014280121,0.00005302801,0.0012542754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966528,0.000100752535,0.0011303632,0.00084341073,0.000059527498,0.0012131408],"domain_scores_gemma":[0.99764967,0.00046517304,0.0004832016,0.0011669277,0.000043768938,0.00019123207],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0041139065,0.0002761636,0.0008392294,0.00079110375,0.0006407691,0.0005379394,0.0011450351,0.00030233504,0.0002538027],"category_scores_gemma":[0.0016040574,0.00036956143,0.00015387026,0.00012691594,0.0005629978,0.00080221693,0.00053537847,0.00092458853,0.00014250849],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002688239,0.00033254432,0.7567034,0.000041508858,0.00004330527,0.000033884808,0.0007955317,0.0001486028,0.000016815211,0.04087223,0.000078442696,0.20066491],"study_design_scores_gemma":[0.0022530092,0.00010471032,0.8768717,0.000063332314,0.0000020693271,0.0000051932993,0.00040008617,0.009993853,0.00009904513,0.034290522,0.07527639,0.0006401096],"about_ca_topic_score_codex":0.0016176683,"about_ca_topic_score_gemma":0.0053929007,"teacher_disagreement_score":0.39688754,"about_ca_system_score_codex":0.0011716333,"about_ca_system_score_gemma":0.00016282297,"threshold_uncertainty_score":0.9998756},"labels":[],"label_agreement":null},{"id":"W3125779155","doi":"10.2139/ssrn.1367740","title":"Introduction to Price and Productivity Measurement for Housing","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of British Columbia","funders":"","keywords":"Productivity; Economics; Business; Agricultural economics; Macroeconomics","score_opus":0.020561756603632478,"score_gpt":0.20842401978362107,"score_spread":0.1878622631799886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125779155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7394748,0.0025356987,0.214602,0.036587775,0.0011041472,0.00061201665,0.0000052000623,0.000056520657,0.005021893],"genre_scores_gemma":[0.99539435,0.0010318974,0.0010971336,0.00015631963,0.002030139,0.0000056144663,9.5270593e-7,0.000017360248,0.00026623474],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982019,0.000010930691,0.00033066497,0.0003287181,0.000033817352,0.0010939488],"domain_scores_gemma":[0.99951124,0.000008676248,0.00019313097,0.0001471896,0.000060927327,0.00007883889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004317847,0.00011500788,0.00022745611,0.00017310203,0.00022953458,0.00011416365,0.00009844758,0.00004609313,0.000009322117],"category_scores_gemma":[0.00026830492,0.00013430468,0.000060396644,0.000115757815,0.000012616303,0.00027025692,0.000013021492,0.00037833332,0.000023150325],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032463437,0.00020945574,0.0039044933,0.000021532795,0.00014759535,4.3028092e-7,0.00047044523,0.00044891165,0.000832622,0.6763071,0.0023538328,0.31497893],"study_design_scores_gemma":[0.00079548685,0.00077803776,0.004994708,0.000010131725,0.000015528367,0.00010064909,0.0001826896,0.0004776657,0.00021129807,0.8653183,0.12672523,0.00039028563],"about_ca_topic_score_codex":0.00001367754,"about_ca_topic_score_gemma":0.000120109566,"teacher_disagreement_score":0.31458867,"about_ca_system_score_codex":0.0012406518,"about_ca_system_score_gemma":0.00019208938,"threshold_uncertainty_score":0.5476786},"labels":[],"label_agreement":null},{"id":"W3125790884","doi":"","title":"Cointegration of real estate stocks and REITs with common stocks, bonds and consumer price inflation: an international comparison","year":2006,"lang":"en","type":"preprint","venue":"MADOC (University of Mannheim)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate investment trust; Real estate; Capitalization rate; Financial economics; Cointegration; Economics; Diversification (marketing strategy); Bond; Monetary economics; Capital market; Price on application; Business; Finance; Econometrics","score_opus":0.026418095390224116,"score_gpt":0.2158723307988284,"score_spread":0.1894542354086043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125790884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9258686,0.000076671524,0.0025382193,0.00020360423,0.00011087389,0.0002336518,0.00026615924,0.000024142566,0.070678115],"genre_scores_gemma":[0.9937399,0.0015186968,0.0039362893,0.00000922574,0.000026925884,6.5308717e-7,0.00034822078,0.000017281149,0.0004027809],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989828,0.000026828558,0.00038747364,0.0004162536,0.000051185238,0.00013546488],"domain_scores_gemma":[0.9985546,0.000042310927,0.0009560544,0.00029068472,0.000087952474,0.000068432324],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033177444,0.000185418,0.0005804892,0.00031514754,0.00010100396,0.000055459615,0.0002292585,0.00020174916,0.000060653943],"category_scores_gemma":[0.000007698948,0.00025391657,0.00004443471,0.00006784164,0.00023463574,0.00036711307,0.0002643049,0.00026407753,0.0000036152237],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005235427,0.00017835101,0.9647963,0.00026837605,0.00023512248,0.000008821881,0.0035686884,0.0037159105,0.000008922264,0.007919258,0.0009274414,0.01784924],"study_design_scores_gemma":[0.0018638864,0.00033747955,0.876329,0.00016718065,0.00009555707,0.000010187579,0.001216245,0.09901519,0.000013719215,0.0030881385,0.017242024,0.00062138867],"about_ca_topic_score_codex":0.0075750137,"about_ca_topic_score_gemma":0.0041644606,"teacher_disagreement_score":0.09529928,"about_ca_system_score_codex":0.000091617825,"about_ca_system_score_gemma":0.00003866785,"threshold_uncertainty_score":0.9999913},"labels":[],"label_agreement":null},{"id":"W3125828694","doi":"","title":"Modelling residential prices in Spain under the light of cointegrating techniques and automatic selection algorithms","year":2014,"lang":"en","type":"article","venue":"21st Annual European Real Estate Society Conference","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Real estate; Econometrics; Context (archaeology); Per capita; Real gross domestic product; Quarter (Canadian coin); Cointegration; Supply and demand; Stock (firearms); Macroeconomics; Geography; Finance","score_opus":0.0221720524372019,"score_gpt":0.22056286260309219,"score_spread":0.19839081016589027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125828694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.649078,0.000039917028,0.0648508,0.00048149176,0.00011070404,0.00024029649,0.000028494613,0.00011641576,0.28505388],"genre_scores_gemma":[0.98707074,0.0031943386,0.009442251,0.00004348303,0.00009267346,0.0000043568793,0.0000070606193,0.000031138447,0.00011397324],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871397,0.00008673972,0.0006032421,0.00031659892,0.00003830479,0.0002411423],"domain_scores_gemma":[0.99924815,0.0000959594,0.00039211818,0.0001614775,0.000057300236,0.000045012097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019516391,0.00015686535,0.0002960885,0.00006601689,0.00014045229,0.00012930261,0.00019760715,0.00006056472,0.000016002883],"category_scores_gemma":[0.00002983758,0.00014569025,0.00008279834,0.00016480708,0.00012776026,0.0002695023,0.00008671654,0.00022947037,0.000012080313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000656867,0.00027295266,0.01560295,0.00060381857,0.00020149285,0.000008253677,0.07770444,0.017339382,0.0004416362,0.3615086,0.0006575121,0.5255933],"study_design_scores_gemma":[0.0003296289,0.00011129423,0.0028187411,0.000098658275,0.000008913867,0.000007131718,0.0044650002,0.98252445,0.00012611225,0.004643254,0.0045740623,0.00029274562],"about_ca_topic_score_codex":0.0015032787,"about_ca_topic_score_gemma":0.00015649917,"teacher_disagreement_score":0.96518505,"about_ca_system_score_codex":0.000053035455,"about_ca_system_score_gemma":0.000028391396,"threshold_uncertainty_score":0.59410757},"labels":[],"label_agreement":null},{"id":"W3125842451","doi":"10.15396/eres2011_68","title":"Factors that influence listing prices and selling prices of owner-occupied residential properties in Germany","year":2011,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Listing (finance); Business; Commerce; Finance","score_opus":0.11362414836013936,"score_gpt":0.21527061592386887,"score_spread":0.10164646756372951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125842451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9578203,0.0002612202,0.00017630855,0.000016281358,0.00011043009,0.000118878,0.000004650223,0.000029197909,0.041462712],"genre_scores_gemma":[0.99842787,0.00035590428,0.00096896256,0.000021034006,0.000015935013,0.0000046643527,9.483413e-7,0.000016438926,0.00018821722],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998843,0.000007683448,0.00058095634,0.00030254902,0.000023387945,0.00024242245],"domain_scores_gemma":[0.99931765,0.000045472956,0.00040253912,0.00016794745,0.000017809334,0.000048583395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044338297,0.00014447302,0.00035893128,0.00026737276,0.000066305336,0.000069309564,0.00017907681,0.00008683003,0.00012374207],"category_scores_gemma":[0.00008048142,0.00011768066,0.000043627137,0.000120015895,0.0001101881,0.0006281501,0.0000862852,0.00009852638,0.000014002148],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024106352,0.000041378014,0.98799175,0.000104365965,0.00001863402,0.0000010968542,0.005851806,0.000040998613,0.000114973256,0.005355938,0.0000040469595,0.00045087963],"study_design_scores_gemma":[0.0002674101,0.000036657548,0.9881387,0.000059652106,0.000005475535,9.443542e-7,0.00083848945,0.0024323806,0.0034943281,0.0040208693,0.0004018121,0.0003033155],"about_ca_topic_score_codex":0.003520739,"about_ca_topic_score_gemma":0.00062679284,"teacher_disagreement_score":0.041274495,"about_ca_system_score_codex":0.000032020736,"about_ca_system_score_gemma":0.000014786236,"threshold_uncertainty_score":0.53223276},"labels":[],"label_agreement":null},{"id":"W3125889825","doi":"","title":"With Great Power Comes Great Responsibility; Macroprudential Tools at Work in Canada","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Boom; Debt; Loan-to-value ratio; Amortization; Work (physics); House price; Soundness; Economics; Value (mathematics); Loan; Monetary economics; Finance; Business; Mortgage insurance","score_opus":0.030715098507690986,"score_gpt":0.2558205965213001,"score_spread":0.22510549801360913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125889825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78204167,0.00018476872,0.0000045777947,0.00043337472,0.00093558297,0.0008559787,0.0002995487,0.00003022676,0.21521428],"genre_scores_gemma":[0.9898126,0.0033223294,0.0003770736,0.00019488618,0.00019031143,0.0002281863,0.00014758763,0.00018513355,0.0055418983],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9934618,0.00028971786,0.0020361426,0.0022594389,0.00016482796,0.0017880875],"domain_scores_gemma":[0.9954768,0.0010103531,0.0006971968,0.0023229404,0.000082409235,0.00041030327],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004062108,0.00072600396,0.0019082952,0.0011761114,0.00019816378,0.00047133476,0.0014034373,0.00067295984,0.0011603929],"category_scores_gemma":[0.00060545595,0.0008673185,0.0002594769,0.0003712866,0.0004110733,0.0002525527,0.0019007833,0.0022005346,0.00013690897],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019857818,0.0001083733,0.94062495,0.00019146102,0.0001573835,0.00019107918,0.000384122,0.018580865,0.0000014809111,0.000972608,0.0009489805,0.035852898],"study_design_scores_gemma":[0.0059482087,0.00039326007,0.65812624,0.00095108274,0.00002572316,0.000065881395,0.00077023846,0.0099269515,0.000063628446,0.007571615,0.31183958,0.0043176096],"about_ca_topic_score_codex":0.22943251,"about_ca_topic_score_gemma":0.8822984,"teacher_disagreement_score":0.65286595,"about_ca_system_score_codex":0.013694001,"about_ca_system_score_gemma":0.0020197516,"threshold_uncertainty_score":0.9997527},"labels":[],"label_agreement":null},{"id":"W3125909450","doi":"","title":"Dirty Money: Is there a Wage Premium for Working in a Pollution Intensive Industry","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Compensating differential; Economics; Quarter (Canadian coin); Labour economics; Value (mathematics); Risk premium; Work (physics); Differential (mechanical device); Efficiency wage; Wage share; Monetary economics; Engineering; Geography","score_opus":0.06916864422389689,"score_gpt":0.29876333917029146,"score_spread":0.22959469494639456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125909450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.751684,0.0010307878,0.00004326957,0.0024300287,0.0010406873,0.0020081564,0.00034059788,0.000067074165,0.2413554],"genre_scores_gemma":[0.9829036,0.012751074,0.0009010509,0.00066357816,0.0005012004,0.00043142153,0.00010124169,0.0001463803,0.0016004418],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9946853,0.00011827683,0.0018316046,0.0018118182,0.0000695611,0.0014834412],"domain_scores_gemma":[0.99720716,0.00036586705,0.0007712048,0.0012956784,0.00011969671,0.00024038875],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.004051945,0.0005883765,0.001478461,0.0015523602,0.00018816999,0.00038423418,0.001005647,0.0020450517,0.00016519545],"category_scores_gemma":[0.0009993496,0.000765814,0.00044027832,0.0003021042,0.00022770277,0.00024132877,0.00085591164,0.0037871115,0.000046865454],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014065317,0.0009122181,0.35946584,0.00067783013,0.0005201102,0.00009727767,0.0066656074,0.0302223,0.000029406925,0.018397111,0.0022707132,0.57933503],"study_design_scores_gemma":[0.0076170815,0.00059053884,0.16684264,0.0029264835,0.00003780658,0.000027038352,0.0051865964,0.2138589,0.00020674992,0.3607334,0.23712777,0.004845013],"about_ca_topic_score_codex":0.0004882643,"about_ca_topic_score_gemma":0.0010408907,"teacher_disagreement_score":0.5744901,"about_ca_system_score_codex":0.0031364409,"about_ca_system_score_gemma":0.00039975945,"threshold_uncertainty_score":0.9994793},"labels":[],"label_agreement":null},{"id":"W3125937367","doi":"10.1111/1911-3838.12249","title":"Airbnb Property Management: Performance Evaluation of a Rental Property*","year":2021,"lang":"en","type":"article","venue":"Accounting Perspectives","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Renting; Property (philosophy); Property management; Business; Term (time); Environmental economics; Finance; Economics; Engineering; Civil engineering","score_opus":0.03975871007419992,"score_gpt":0.233612715838718,"score_spread":0.19385400576451808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125937367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52706414,0.0005608825,0.00003193369,0.00017935097,0.00022017634,0.00016736984,0.00000780594,0.000027809037,0.47174054],"genre_scores_gemma":[0.99137115,0.0006457406,0.0009022756,0.000038702583,0.00011209548,0.000028790953,0.0000093411045,0.000026704975,0.0068651647],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99875575,0.000024675175,0.00043503122,0.00046334398,0.00008332022,0.00023784662],"domain_scores_gemma":[0.99913335,0.000014390153,0.00028109289,0.0003333163,0.00021041042,0.00002744059],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012254717,0.00013560655,0.00028341048,0.00015739044,0.00013073198,0.000087589775,0.00016858493,0.000059520968,0.0011247062],"category_scores_gemma":[0.0001525835,0.00011360828,0.00009620221,0.00027148685,0.00007115852,0.00050111045,0.00011008933,0.00010335342,0.00031172868],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026124864,0.0019607425,0.5471117,0.001008973,0.001222369,0.000020819196,0.033733137,0.0024498338,0.00080483744,0.114927925,0.010486843,0.28601158],"study_design_scores_gemma":[0.008411696,0.0003048071,0.4572511,0.0007464757,0.00036149877,0.00008541393,0.04811792,0.24921718,0.004511569,0.019562572,0.2084906,0.0029391774],"about_ca_topic_score_codex":0.00009686776,"about_ca_topic_score_gemma":0.000021203072,"teacher_disagreement_score":0.46487537,"about_ca_system_score_codex":0.0002436337,"about_ca_system_score_gemma":0.00005246932,"threshold_uncertainty_score":0.9997884},"labels":[],"label_agreement":null},{"id":"W3125939044","doi":"","title":"High Voltage Power Lines and Property Values","year":2004,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Database transaction; Valuation (finance); Property (philosophy); Property value; Transaction data; Market value; Value (mathematics); Electricity; Residential property; Business; Distribution (mathematics); Actuarial science; Econometrics; Public economics; Economics; Computer science; Real estate; Statistics; Accounting; Finance; Engineering; Mathematics","score_opus":0.0202100844034055,"score_gpt":0.1927220696727149,"score_spread":0.17251198526930941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125939044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73247653,0.0002344285,0.0023282345,0.0011810767,0.00045374248,0.0001097079,0.00001444522,0.00008143228,0.2631204],"genre_scores_gemma":[0.988882,0.00035069056,0.0025722203,0.00046030432,0.00009669631,0.0000050270532,0.0000037143293,0.0000209869,0.0076083746],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992135,0.0000020641407,0.0003016552,0.0002781322,0.000010116239,0.00019450391],"domain_scores_gemma":[0.999642,0.000012485096,0.00008198639,0.00018527215,0.000011570116,0.00006670136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023786999,0.000110369176,0.00023675966,0.000088582405,0.00008111777,0.000096992335,0.00009202724,0.00007023029,0.00073875],"category_scores_gemma":[0.000045234705,0.00009038071,0.00004310319,0.00006177446,0.00005410622,0.0002216136,0.00005295662,0.00006487492,0.00061308214],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047006935,0.00021644415,0.079103254,0.00004964321,0.000083944986,0.000011310699,0.0010398559,0.00039435798,0.00011505917,0.9047165,0.0051922114,0.009030442],"study_design_scores_gemma":[0.0030232456,0.00029402965,0.05420424,0.000035174467,0.000011291626,0.00002414274,0.00025010365,0.001163818,0.0009419163,0.6574819,0.28132868,0.001241446],"about_ca_topic_score_codex":0.0007003853,"about_ca_topic_score_gemma":0.000053623593,"teacher_disagreement_score":0.2761365,"about_ca_system_score_codex":0.0000465509,"about_ca_system_score_gemma":0.000011487249,"threshold_uncertainty_score":0.80887944},"labels":[],"label_agreement":null},{"id":"W3125943805","doi":"10.3386/w14193","title":"Housing Supply and Housing Bubbles","year":2008,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":96,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Business","score_opus":0.3000790747471271,"score_gpt":0.4159887763859582,"score_spread":0.11590970163883113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125943805","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45077124,0.0026864528,0.00012772247,0.001236961,0.0009796673,0.00061552157,0.0004349673,0.000052502844,0.543095],"genre_scores_gemma":[0.9852659,0.010649477,0.002524792,0.00005121558,0.00071210496,0.000045193854,0.0002315619,0.000090885376,0.00042888595],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967429,0.00007816813,0.0013480848,0.0010447508,0.00015717783,0.000628893],"domain_scores_gemma":[0.9977994,0.00056786026,0.00069461064,0.0005079143,0.0002536903,0.00017651542],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0036409479,0.00033512578,0.0009700565,0.0015126272,0.000317365,0.000270344,0.00061249896,0.0005670143,0.00034580522],"category_scores_gemma":[0.00046304098,0.0004552793,0.0002274196,0.00014825264,0.0005773582,0.00030836818,0.0009935937,0.0010177218,0.00030425572],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012751174,0.00016404178,0.060112182,0.0004326529,0.00032120498,0.000010794259,0.00066858495,0.010431247,0.000034956403,0.9096045,0.012053631,0.0060387044],"study_design_scores_gemma":[0.000641129,0.000052978146,0.002198946,0.00013238964,0.0000062628333,0.000013075943,0.00007152584,0.016303936,0.00011422738,0.97021765,0.00970166,0.0005462013],"about_ca_topic_score_codex":0.002573191,"about_ca_topic_score_gemma":0.00023702049,"teacher_disagreement_score":0.5426661,"about_ca_system_score_codex":0.0011640267,"about_ca_system_score_gemma":0.0006085656,"threshold_uncertainty_score":0.9997899},"labels":[],"label_agreement":null},{"id":"W3125962022","doi":"","title":"Housing starts in Canada, Japan, and the United States: Do forecasters herd?","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Herding; Herd; Herd behavior; Economics; Financial economics; Consensus forecast; Econometrics; Geography; Biology","score_opus":0.04422184627603404,"score_gpt":0.25273254544655754,"score_spread":0.2085106991705235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125962022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92614144,0.0009123752,0.000006080564,0.0010399502,0.00091426144,0.00091289607,0.00021571468,0.00001790636,0.06983935],"genre_scores_gemma":[0.9688679,0.029723706,0.00016169173,0.00036377143,0.00019268898,0.00015440307,0.00012924924,0.00012073495,0.00028585416],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9955025,0.0002459911,0.0016043726,0.0010926271,0.00008742912,0.0014671313],"domain_scores_gemma":[0.9969725,0.0009644888,0.0005928255,0.0011306619,0.000049799604,0.00028971035],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0055419565,0.00048075733,0.0012322468,0.0011277804,0.00022160435,0.0004166052,0.00078992994,0.00038810226,0.00015003876],"category_scores_gemma":[0.00034294758,0.00051399396,0.00014832157,0.00029131948,0.000529545,0.0002217144,0.0012184376,0.0019803375,0.000017733872],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008499996,0.00018274385,0.7377809,0.0005601501,0.00033020656,0.000047847803,0.0074970406,0.09905177,5.53053e-7,0.0107360855,0.00044173145,0.14252092],"study_design_scores_gemma":[0.010808905,0.000107539825,0.09747317,0.00091601413,0.00003697702,0.000035112556,0.016497374,0.56404114,0.000010562206,0.06735079,0.23899306,0.003729355],"about_ca_topic_score_codex":0.64863276,"about_ca_topic_score_gemma":0.7838277,"teacher_disagreement_score":0.6403078,"about_ca_system_score_codex":0.004536985,"about_ca_system_score_gemma":0.0009108562,"threshold_uncertainty_score":0.9997312},"labels":[],"label_agreement":null},{"id":"W3125980416","doi":"","title":"Mortgage Put Options and Real Estate Markets","year":2008,"lang":"en","type":"article","venue":"ScholarlyCommons (University of Pennsylvania)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Real estate; Real estate investment trust; Asset (computer security); Shock (circulatory); Business; Intermediation; Monetary economics; Financial economics; Economics; Financial system; Finance","score_opus":0.03331033372078273,"score_gpt":0.18496790257034454,"score_spread":0.1516575688495618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125980416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7543394,0.00008195611,0.0004837078,0.0003135294,0.00011082002,0.00009318317,0.00010316627,0.00004683877,0.24442743],"genre_scores_gemma":[0.98175627,0.011345597,0.0043740263,0.000020286363,0.000025744885,3.3441944e-7,0.000019810348,0.000021080645,0.0024368232],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990342,0.00003495209,0.00025342774,0.00036824992,0.000035974095,0.00027319932],"domain_scores_gemma":[0.99909544,0.00006129876,0.00025201385,0.00038867947,0.000036732705,0.00016580686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051583874,0.00014308016,0.00038366352,0.00033050706,0.0005581887,0.000048601014,0.000321907,0.00012252857,0.00051377824],"category_scores_gemma":[0.00004278602,0.0002267,0.00012182817,0.000213226,0.00027677134,0.0010369712,0.00020362863,0.000260449,0.0002730304],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002492647,0.00037420564,0.9130926,0.0000854693,0.00023714302,0.00026586335,0.006678738,0.00006342246,0.00030056966,0.056339033,0.0048692673,0.01744441],"study_design_scores_gemma":[0.0013487802,0.00008704062,0.91084814,0.000016190701,0.000024926407,0.00006946627,0.0010338592,0.0020188536,0.000009208982,0.0046754926,0.07938399,0.0004840254],"about_ca_topic_score_codex":0.0019164934,"about_ca_topic_score_gemma":0.00067080813,"teacher_disagreement_score":0.2419906,"about_ca_system_score_codex":0.00007742527,"about_ca_system_score_gemma":0.00003294939,"threshold_uncertainty_score":0.92445576},"labels":[],"label_agreement":null},{"id":"W3125983309","doi":"10.1016/j.jhe.2011.02.002","title":"Property delisting, housing cycle and pricing bias","year":2011,"lang":"en","type":"article","venue":"Journal of Housing Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Property (philosophy); Business; Economics; Financial economics; Monetary economics; Econometrics","score_opus":0.09388142807412148,"score_gpt":0.2136173299569766,"score_spread":0.11973590188285513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125983309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9361289,0.00058823876,0.0021556087,0.00014059174,0.0009757659,0.00009828591,0.0000072061725,0.000031994758,0.059873413],"genre_scores_gemma":[0.9815718,0.0016191178,0.01602196,0.00024644614,0.00037074863,0.0000010496724,8.8166115e-7,0.000075926386,0.0000921013],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99775666,0.000023626528,0.0014845602,0.00031783257,0.000023129252,0.00039421854],"domain_scores_gemma":[0.99762607,0.00006585539,0.0017914041,0.0002640001,0.00006922868,0.00018346238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016671116,0.00023840493,0.00071796915,0.00043251156,0.00020687586,0.00020820399,0.00027624922,0.00014138316,0.00009696903],"category_scores_gemma":[0.00019935676,0.00022763724,0.0001811337,0.0001081221,0.00011527433,0.0008089019,0.00011252737,0.0003003884,0.000045268844],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050780695,0.0005726854,0.8182688,0.00027708622,0.00060338003,0.0001218179,0.009492477,0.0041111726,0.00013402937,0.028951231,0.0013541008,0.13560547],"study_design_scores_gemma":[0.014188902,0.0028637345,0.12223429,0.001569902,0.00052396406,0.002524279,0.0036875731,0.19835047,0.004513709,0.42433754,0.21758612,0.007619527],"about_ca_topic_score_codex":0.00031245584,"about_ca_topic_score_gemma":0.00006914307,"teacher_disagreement_score":0.69603443,"about_ca_system_score_codex":0.00024641686,"about_ca_system_score_gemma":0.00009503332,"threshold_uncertainty_score":0.9282777},"labels":[],"label_agreement":null},{"id":"W3126040484","doi":"10.2139/ssrn.2899070","title":"Managerial Miscalibration and Its Effects on the Auditability of Accounting Estimates: Evidence from Pension Accounting","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Accounting; Pension; Business; Finance","score_opus":0.023731622300749086,"score_gpt":0.2318275710387492,"score_spread":0.20809594873800014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126040484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99454856,0.0011929394,0.0008929329,0.0012580091,0.0005106361,0.00014735099,0.000004430185,0.00001067452,0.0014344837],"genre_scores_gemma":[0.9967945,0.0025880772,0.00008671489,0.000045816985,0.0004295581,0.0000032256228,0.0000013436886,0.000018134015,0.000032636988],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985234,0.000030527448,0.0004462576,0.00027200437,0.00004740678,0.00068039086],"domain_scores_gemma":[0.99809957,0.00050495303,0.0009857861,0.00034340288,0.000033374796,0.00003292516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034958986,0.0001365448,0.00029503,0.00006762021,0.0007157338,0.00042437392,0.0003868491,0.00008242723,0.000041408595],"category_scores_gemma":[0.0021738266,0.00011931751,0.000083374136,0.000034204593,0.000051798514,0.0008997839,0.00010958637,0.00058748526,0.000038506223],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047826717,0.000103295635,0.63218737,0.00016358374,0.0003466018,0.0000044688377,0.000776079,0.00024190459,0.0027328834,0.31346333,0.00012838792,0.049373828],"study_design_scores_gemma":[0.00088697544,0.00020987263,0.26689586,0.00037945196,0.000044665838,0.000018482631,0.00021038606,0.030673692,0.0021205884,0.6979496,0.00022044656,0.00038998004],"about_ca_topic_score_codex":0.00020688966,"about_ca_topic_score_gemma":0.00020116995,"teacher_disagreement_score":0.3844863,"about_ca_system_score_codex":0.00023991539,"about_ca_system_score_gemma":0.00011423919,"threshold_uncertainty_score":0.5504918},"labels":[],"label_agreement":null},{"id":"W3126052810","doi":"10.1257/pol.5.2.313","title":"The Contagion Effect of Neighboring Foreclosures","year":2013,"lang":"en","type":"article","venue":"American Economic Journal Economic Policy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Default; Foreclosure; Emotional contagion; Economics; Contagion effect; Hazard; Multiplier (economics); Econometrics; Monetary economics; Psychology; Financial crisis; Social psychology; Finance; Macroeconomics","score_opus":0.007344176890354846,"score_gpt":0.22586050788136133,"score_spread":0.21851633099100648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126052810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86983186,0.0003884967,0.00012652391,0.0024611761,0.0013465252,0.00032511188,0.00004615884,0.000034911805,0.12543923],"genre_scores_gemma":[0.9948269,0.0026905204,0.00013177907,0.0002622186,0.0013654691,0.000047175807,0.0000037120146,0.000079023754,0.0005931615],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99678195,0.00008494443,0.001813348,0.00043847083,0.000023863517,0.0008574356],"domain_scores_gemma":[0.9960664,0.000640219,0.0023406572,0.0006137112,0.000020408772,0.0003186106],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016953828,0.000373805,0.0011193558,0.00045309128,0.000437494,0.000438269,0.00084582664,0.00009134277,0.0005612121],"category_scores_gemma":[0.00016652032,0.00033738447,0.0004986662,0.00009549084,0.0006081724,0.0007855783,0.00014089761,0.00037075768,0.0031564597],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029962824,0.000050517057,0.36537448,0.000040090985,0.000917485,0.0000036624676,0.0006392649,0.0036753907,0.00006583871,0.2644762,0.01790988,0.34654754],"study_design_scores_gemma":[0.008260796,0.003488948,0.1418313,0.00010674406,0.000113849026,0.0007366823,0.0013353211,0.04286573,0.001758055,0.2601374,0.5359756,0.003389581],"about_ca_topic_score_codex":0.01005375,"about_ca_topic_score_gemma":0.0003236777,"teacher_disagreement_score":0.5180657,"about_ca_system_score_codex":0.001410409,"about_ca_system_score_gemma":0.00022831906,"threshold_uncertainty_score":0.9999078},"labels":[],"label_agreement":null},{"id":"W3126075411","doi":"","title":"A Sustainable Spending Rate without Simulation","year":2005,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Economics; Rate of return; Econometrics; Investment (military); Monte Carlo method; Interest rate; Simple (philosophy); Value (mathematics); Measure (data warehouse); Actuarial science; Monetary economics; Finance; Computer science; Mathematics; Statistics","score_opus":0.02989779757887333,"score_gpt":0.23876711733893394,"score_spread":0.2088693197600606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126075411","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35011974,0.000052966883,0.013001212,0.00034692997,0.000114784474,0.000112200134,0.0000021767307,0.00007744525,0.63617253],"genre_scores_gemma":[0.9655152,0.00003854844,0.0017913242,0.00021644426,0.00021349984,0.000004305662,0.000004587614,0.000021336295,0.03219476],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990738,0.000006190165,0.0003522073,0.00024465588,0.000009188803,0.00031392684],"domain_scores_gemma":[0.99956256,0.0000402518,0.00013426732,0.00018970745,0.000013715117,0.000059488644],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00065679086,0.00009642028,0.00020289361,0.00015961751,0.00011445617,0.00013407873,0.0001013825,0.000057576955,0.002232051],"category_scores_gemma":[0.000077743425,0.00011712293,0.000057366364,0.000104069804,0.000016875303,0.00053488644,0.0000418244,0.000065095366,0.002472818],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000353349,0.000062320614,0.14956893,0.000025077745,0.000028650526,0.0000031079544,0.0004639223,0.083086714,0.000009422508,0.759115,0.0009409654,0.0066605494],"study_design_scores_gemma":[0.0005635319,0.000020715574,0.007306342,0.0000035216751,0.0000030656986,0.0000012985495,0.00018220539,0.5321061,0.000077446304,0.029136725,0.4302793,0.00031971154],"about_ca_topic_score_codex":0.00012480836,"about_ca_topic_score_gemma":0.000039089504,"teacher_disagreement_score":0.72997826,"about_ca_system_score_codex":0.00017799826,"about_ca_system_score_gemma":0.000008744601,"threshold_uncertainty_score":0.99868006},"labels":[],"label_agreement":null},{"id":"W3126081553","doi":"","title":"Estimating Transaction-Based Price Indices of Local Commercial Real Estate Markets Using Pubic Assessment Data","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Real estate; Price index; Index (typography); Database transaction; Econometrics; Economics; Investment (military); Hedonic index; Computer science; Database; Finance","score_opus":0.032789753199352706,"score_gpt":0.26446733155305713,"score_spread":0.23167757835370442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126081553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61381435,0.0000991162,0.37574986,0.00026243983,0.00040083547,0.00014735947,0.000030785723,0.000018424873,0.009476846],"genre_scores_gemma":[0.988412,0.0014399812,0.009813043,0.0000388517,0.00018903856,0.00000431974,0.00003092632,0.000039948998,0.000031847343],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972021,0.000060005295,0.0009439423,0.0003513869,0.00007032554,0.0013722407],"domain_scores_gemma":[0.9984164,0.000093044415,0.0009270335,0.00040544153,0.000050361345,0.00010771571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033683896,0.00019373313,0.00044890767,0.00027526374,0.00026590785,0.00016443283,0.000603467,0.00010962501,0.00030309902],"category_scores_gemma":[0.00003746835,0.00022350861,0.00010616928,0.00018965272,0.000110142064,0.0008974472,0.000053447526,0.0010301465,0.000032851814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022899862,0.0006984425,0.13109677,0.00021705756,0.00088023604,0.000007699897,0.00058605045,0.04296725,0.00021860239,0.024282135,0.00020169762,0.7986151],"study_design_scores_gemma":[0.0013281067,0.00016671768,0.019861607,0.000044553988,0.00004340754,0.00007620303,0.0007134388,0.93956256,0.00002862453,0.037233815,0.0005124634,0.00042853234],"about_ca_topic_score_codex":0.0029633844,"about_ca_topic_score_gemma":0.0008175438,"teacher_disagreement_score":0.8965953,"about_ca_system_score_codex":0.0011405883,"about_ca_system_score_gemma":0.0012220851,"threshold_uncertainty_score":0.9114417},"labels":[],"label_agreement":null},{"id":"W3126117414","doi":"","title":"On the principle of comparison","year":2012,"lang":"en","type":"article","venue":"ERES eBooks","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subject (documents); Property (philosophy); Similarity (geometry); Value (mathematics); Real estate; Process (computing); Convergence (economics); Computer science; Econometrics; Mathematical economics; Mathematics; Economics; Epistemology; Artificial intelligence; Philosophy; Finance; Machine learning","score_opus":0.07039427839479552,"score_gpt":0.2507271899875753,"score_spread":0.1803329115927798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126117414","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5236108,0.00008246085,0.00009488644,0.00004199875,0.00023199832,0.000052975916,0.000007230763,0.0000093626295,0.47586828],"genre_scores_gemma":[0.99753207,0.00000451961,0.000113160946,0.00012694212,0.00009619803,0.0000063309026,0.0000013637637,0.000012159325,0.002107269],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993807,0.000010123249,0.00030665452,0.000094772644,0.000013357461,0.00019440187],"domain_scores_gemma":[0.9993866,0.000107800544,0.00018977142,0.00027015267,0.0000053155604,0.000040373383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050255214,0.0000679033,0.000185242,0.000050353807,0.00006016394,0.000016497164,0.0001469573,0.00004070766,0.00034827858],"category_scores_gemma":[0.00006707916,0.00005804742,0.000061673956,0.000017847242,0.000049331604,0.000034706143,0.000039474795,0.00008298588,0.0004337321],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011107116,0.000034914763,0.05422871,0.000006075467,0.000014530402,4.591293e-8,0.0004191619,0.000015033202,0.000007524882,0.942178,0.0016277792,0.0014571125],"study_design_scores_gemma":[0.00027021242,0.000060004215,0.019349659,0.000013394876,0.00000435602,8.325049e-7,0.00006072348,0.0010993904,0.0015588826,0.051759195,0.9256114,0.00021199565],"about_ca_topic_score_codex":0.000024870022,"about_ca_topic_score_gemma":0.000008690565,"teacher_disagreement_score":0.9239836,"about_ca_system_score_codex":0.000027010856,"about_ca_system_score_gemma":0.0000048608103,"threshold_uncertainty_score":0.55748934},"labels":[],"label_agreement":null},{"id":"W3126122253","doi":"","title":"The effects of land transfer taxes on real estate markets: Evidence from a natural experiment in Toronto","year":2011,"lang":"en","type":"preprint","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Welfare; Economics; Real estate; Deadweight loss; Property tax; Natural experiment; Revenue; Monetary economics; Ad valorem tax; Transfer (computing); Tax deferral; Tax revenue; Estate tax; Tax reform; Labour economics; Public economics; State income tax; Finance; Market economy; Gross income","score_opus":0.05438237342576433,"score_gpt":0.3408566184085871,"score_spread":0.28647424498282276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126122253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9741537,0.0021144461,0.000005832799,0.0014039662,0.0009143807,0.0009173893,0.000840889,0.000010246251,0.019639157],"genre_scores_gemma":[0.9163501,0.08253197,0.0005679401,0.00010907024,0.00025887135,0.000049464994,0.000014092383,0.000041848423,0.0000766161],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9917572,0.00020539534,0.002730931,0.0019791566,0.00023648639,0.0030908159],"domain_scores_gemma":[0.9916989,0.0034177238,0.00062118354,0.0013619142,0.00034439418,0.0025558537],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.010113099,0.00062008016,0.0018037695,0.00094003737,0.00045167535,0.0006644819,0.0023378565,0.0004286675,0.00015714705],"category_scores_gemma":[0.004714844,0.00055891735,0.00031550924,0.0004020108,0.007569827,0.0012592706,0.0017533589,0.0013181505,0.000021694617],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007431267,0.0004094543,0.050413825,0.0002965302,0.00007965876,0.0000046503046,0.0003402799,0.00007824713,0.00035838122,0.9437637,0.000026818327,0.0034853667],"study_design_scores_gemma":[0.0038436858,0.0021633136,0.41670305,0.0015450821,0.00006925566,0.000013992947,0.0018479361,0.038919054,0.012390853,0.51889247,0.0015800912,0.0020312602],"about_ca_topic_score_codex":0.10964651,"about_ca_topic_score_gemma":0.011904239,"teacher_disagreement_score":0.42487124,"about_ca_system_score_codex":0.0025319534,"about_ca_system_score_gemma":0.0025141458,"threshold_uncertainty_score":0.99968624},"labels":[],"label_agreement":null},{"id":"W3126139363","doi":"","title":"Private Investment, Public Aid and Endogenous Divergence in the Evolution of Urban Neighborhoods","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Investment (military); Government (linguistics); Distribution (mathematics); Economics; Ex-ante; Divergence (linguistics); Public economics; Public investment; Business; Microeconomics; Public fund; Political science","score_opus":0.022040950005696655,"score_gpt":0.19656030252093296,"score_spread":0.17451935251523631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126139363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9588085,0.010022277,0.0021423933,0.0010480385,0.00012522297,0.00012260348,0.0000062959707,0.000008118967,0.027716571],"genre_scores_gemma":[0.9907649,0.008723734,0.00010634489,0.00014062715,0.00016255844,0.0000039613715,0.0000015020809,0.0000119259375,0.00008445293],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99827397,0.000038206355,0.00049197196,0.00017632921,0.00003302928,0.000986466],"domain_scores_gemma":[0.9994045,0.000031239135,0.00033289453,0.00017065392,0.000013650164,0.000047043875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002370642,0.00010741055,0.00021031447,0.00021992766,0.00013019006,0.00006207924,0.00029791027,0.00005935178,0.000033727778],"category_scores_gemma":[0.000071206465,0.00010000085,0.0000636404,0.00020257448,0.0000596394,0.00035410532,0.00004215733,0.000573377,0.000025986308],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010079221,0.00005436097,0.26759735,0.0000032671805,0.000027644728,4.526829e-7,0.00041045793,0.000030846688,0.000020245127,0.72848463,0.000022866227,0.0033378068],"study_design_scores_gemma":[0.0012668427,0.00028831264,0.03991112,0.000010871412,0.000011968077,0.00026503418,0.001122947,0.0022488332,0.000023490333,0.9333218,0.021235509,0.00029332173],"about_ca_topic_score_codex":0.00017195386,"about_ca_topic_score_gemma":0.0007703732,"teacher_disagreement_score":0.22768624,"about_ca_system_score_codex":0.0010720664,"about_ca_system_score_gemma":0.00027469735,"threshold_uncertainty_score":0.4077916},"labels":[],"label_agreement":null},{"id":"W3126392776","doi":"10.3138/cpp.2019-041","title":"Playing with Fire? Household Debt near Retirement in Canada","year":2021,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Home equity; Debt; Household debt; Equity (law); Economics; Monetary economics; Payment; Demographic economics; Business; Labour economics; Finance","score_opus":0.034092274390244114,"score_gpt":0.18447111833973284,"score_spread":0.15037884394948872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126392776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80422825,0.00024021593,0.000006379721,0.010789402,0.00020443379,0.00008323063,0.00022553581,0.000014427719,0.18420811],"genre_scores_gemma":[0.99490774,0.000118289514,0.00017356304,0.004067973,0.00012800709,0.000014789844,0.000038099126,0.000039958257,0.00051155395],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983676,0.000013268536,0.00039319074,0.00037580653,0.00003108793,0.0008190647],"domain_scores_gemma":[0.998812,0.000023898667,0.00011013427,0.00040235306,0.000022570875,0.0006290062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021647295,0.00015343729,0.00030266028,0.00029955717,0.00020237936,0.0002522069,0.00022871858,0.00007169112,0.00041492216],"category_scores_gemma":[0.00015928836,0.000200478,0.000036080444,0.0006272182,0.00003799303,0.00021071498,0.000033768752,0.00017273845,0.00005671943],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000004502201,0.000017451292,0.880347,0.000023789435,0.00004104311,0.00025480907,0.00019814594,0.00028139088,8.978328e-7,0.099290825,0.010592407,0.008947744],"study_design_scores_gemma":[0.0010680777,0.000022140051,0.32572928,0.00003799289,0.0000036376618,0.000045239816,0.00021884998,0.009360317,0.000012741229,0.002802487,0.659848,0.0008512578],"about_ca_topic_score_codex":0.9987171,"about_ca_topic_score_gemma":0.99986994,"teacher_disagreement_score":0.6492556,"about_ca_system_score_codex":0.0054015494,"about_ca_system_score_gemma":0.020078989,"threshold_uncertainty_score":0.99841654},"labels":[],"label_agreement":null},{"id":"W3126444040","doi":"10.4000/eps.11170","title":"L’identification des micro-zones d’insécurité résidentielle : le cas du marché locatif à Montréal","year":2021,"lang":"fr","type":"article","venue":"Espace populations sociétés","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.05006663417757762,"score_gpt":0.2830628051932187,"score_spread":0.23299617101564107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126444040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7546431,0.088064305,0.03076106,0.091013,0.012490568,0.00053432176,0.00058698526,0.00015604321,0.021750616],"genre_scores_gemma":[0.8824495,0.021621723,0.010853974,0.00023558938,0.00076092815,0.00005589101,0.00045872005,0.00013466449,0.083428994],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970843,0.00012062394,0.0012219643,0.00082428905,0.000071051705,0.00067773164],"domain_scores_gemma":[0.9980152,0.000114833114,0.0006509637,0.00084167044,0.00021996071,0.00015737169],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007674934,0.00035518943,0.000630165,0.00027919738,0.0012061627,0.00063380506,0.00030548972,0.0003936312,0.0026670152],"category_scores_gemma":[0.0004640414,0.00058498135,0.00040577355,0.0006719395,0.0003190976,0.00093751046,0.00022701781,0.00034120213,0.0016093417],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005363418,0.0014425905,0.5499393,0.0005518568,0.0004672679,0.00008788916,0.012944947,0.007688413,0.00029969297,0.2580367,0.117494866,0.05099283],"study_design_scores_gemma":[0.0019128574,0.000051868683,0.4731809,0.00022538227,0.00019387112,0.00016259462,0.009361606,0.04133507,0.0009828581,0.14379302,0.3271231,0.0016768686],"about_ca_topic_score_codex":0.013200294,"about_ca_topic_score_gemma":0.02501872,"teacher_disagreement_score":0.20962825,"about_ca_system_score_codex":0.00067287544,"about_ca_system_score_gemma":0.00020304906,"threshold_uncertainty_score":0.99966013},"labels":[],"label_agreement":null},{"id":"W3126569450","doi":"","title":"Heterogeneous price and quantity effects of the real estate transfer tax in Germany","year":2020,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Economics; Database transaction; German; Quarter (Canadian coin); Tax incidence; Monetary economics; Estate tax; Transfer (computing); Ad valorem tax; Value-added tax; Tax reform; Macroeconomics; Public economics; Finance; Geography","score_opus":0.03215916029311783,"score_gpt":0.26623234646536675,"score_spread":0.23407318617224893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126569450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9182573,0.00017124174,0.000008781701,0.00032877308,0.0005496048,0.0009366048,0.00014011996,0.000018233575,0.07958937],"genre_scores_gemma":[0.9294314,0.069973804,0.00012847477,0.000055829478,0.00008628591,0.00009854926,0.000009829694,0.00007649826,0.00013937938],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99653476,0.00018962713,0.001339562,0.0011275678,0.00006417555,0.0007442885],"domain_scores_gemma":[0.9980105,0.0005175242,0.0003222814,0.0009456587,0.000029657942,0.00017436559],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018465846,0.0003635236,0.0011212529,0.00050644873,0.000102978476,0.00013397964,0.00083171076,0.00048098425,0.000032968233],"category_scores_gemma":[0.00038303307,0.0004072498,0.00026044753,0.00021193088,0.00038510593,0.00012673448,0.0009925629,0.0015139814,0.000014781045],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092214317,0.0010404392,0.71466035,0.0074331127,0.00064332417,0.00024971782,0.011296902,0.0302819,0.0007732598,0.01703306,0.000061296094,0.21560448],"study_design_scores_gemma":[0.006762921,0.0006173275,0.77079505,0.001357183,0.000048685433,0.00003887022,0.00052787387,0.13600668,0.0022767861,0.049111255,0.028993728,0.0034636545],"about_ca_topic_score_codex":0.0016897685,"about_ca_topic_score_gemma":0.0027790938,"teacher_disagreement_score":0.21214083,"about_ca_system_score_codex":0.00066063926,"about_ca_system_score_gemma":0.00022061613,"threshold_uncertainty_score":0.99983793},"labels":[],"label_agreement":null},{"id":"W3127124834","doi":"10.1108/ijhma-10-2020-0126","title":"House price index (HPI) and Covid-19 pandemic shocks: evidence from Turkey and Kazakhstan","year":2021,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Economics; Distributed lag; Real estate; Econometrics; Price index; Shock (circulatory); Pandemic; Quarter (Canadian coin); Constraint (computer-aided design); Consumer price index (South Africa); Coronavirus disease 2019 (COVID-19); Macroeconomics; Geography; Finance; Monetary policy; Computer science; Mathematics","score_opus":0.042743121402527014,"score_gpt":0.27400110365480657,"score_spread":0.23125798225227956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127124834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96935624,0.007251251,0.020540392,0.0014971067,0.00028192715,0.00003072787,0.000052911008,0.00001758489,0.00097188365],"genre_scores_gemma":[0.97424513,0.023523558,0.0013574974,0.00053163274,0.00021320877,7.285749e-7,0.0000065861855,0.000020987964,0.0001006774],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998471,0.00006143457,0.0008063038,0.0003779035,0.00010602368,0.00017732891],"domain_scores_gemma":[0.9981734,0.0005038262,0.00074931874,0.00015658433,0.00015767182,0.00025917648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011944504,0.00016939847,0.00057230174,0.00072763715,0.00012519029,0.00051562523,0.00020364346,0.000100886886,0.0002805117],"category_scores_gemma":[0.00087990734,0.00017883738,0.00017241832,0.00031887428,0.00010940493,0.00054019707,0.00016733928,0.00021130429,0.0000024657627],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015801017,0.000039112772,0.9890069,0.000015218156,0.0014400036,0.00012772682,0.00055880443,0.00078099646,0.00006701855,0.00024882276,0.00016314808,0.0073942407],"study_design_scores_gemma":[0.003243111,0.00010084119,0.79665095,0.00031809902,0.0010392307,0.0006621479,0.0012132007,0.13789773,0.000056374545,0.025388299,0.032372236,0.0010577607],"about_ca_topic_score_codex":0.0005612208,"about_ca_topic_score_gemma":0.0002142924,"teacher_disagreement_score":0.19235593,"about_ca_system_score_codex":0.00019395028,"about_ca_system_score_gemma":0.00010183607,"threshold_uncertainty_score":0.7292777},"labels":[],"label_agreement":null},{"id":"W3128046755","doi":"","title":"Homeownership and happiness: evidence from Canad","year":2021,"lang":"en","type":"article","venue":"Economics bulletin","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Happiness; Ordered probit; Ordinary least squares; Panel data; Estimation; Fixed effects model; Probit; Econometrics; Sample (material); Economics; Population; Demographic economics; Instrumental variable; Psychology; Demography; Social psychology; Sociology","score_opus":0.040890358972713946,"score_gpt":0.19158832850421478,"score_spread":0.15069796953150083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128046755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90010065,0.0051845345,0.00029730337,0.011829376,0.0009931106,0.00010492493,0.00017570343,0.00005676785,0.08125765],"genre_scores_gemma":[0.98459613,0.0077040102,0.002917725,0.0014173257,0.00042131005,0.000018313094,0.00004855606,0.000056356595,0.0028202548],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981525,0.000023244442,0.00065784017,0.00076659466,0.000012943007,0.00038687675],"domain_scores_gemma":[0.99874157,0.00023528373,0.0002792657,0.0005187865,0.000027962074,0.0001971597],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00049697206,0.00022199634,0.0005345067,0.00010889594,0.00013719483,0.00028677084,0.00023722264,0.00015404522,0.00431687],"category_scores_gemma":[0.00029470143,0.0003069738,0.00010420706,0.000080671874,0.000088618115,0.00017788434,0.0001705016,0.00018055059,0.0020325708],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023810202,0.00031359761,0.5635599,0.00021943568,0.0007026804,0.00019301761,0.0039543826,0.0010486402,0.00024667603,0.3140174,0.0674409,0.04806531],"study_design_scores_gemma":[0.0007722863,0.00002832493,0.028070632,0.00007013794,0.000015631518,0.000022446211,0.0003115738,0.0025288532,0.00031419337,0.047244992,0.91980034,0.0008206033],"about_ca_topic_score_codex":0.0032849694,"about_ca_topic_score_gemma":0.0017152637,"teacher_disagreement_score":0.8523594,"about_ca_system_score_codex":0.00019349655,"about_ca_system_score_gemma":0.000078790436,"threshold_uncertainty_score":0.99993825},"labels":[],"label_agreement":null},{"id":"W3128890612","doi":"10.2139/ssrn.3561270","title":"Revenue Volatility under Uncertain Network Effects","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Volatility (finance); Revenue; Economics; Monetary economics; Business; Econometrics; Finance","score_opus":0.019342390492421282,"score_gpt":0.20669612860462044,"score_spread":0.18735373811219916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128890612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6981757,0.015519197,0.22198501,0.012875059,0.0022259452,0.0005187598,0.000035182,0.00014844167,0.04851668],"genre_scores_gemma":[0.9930135,0.003523359,0.00034561031,0.0012198095,0.0012212307,0.0000036950828,0.000004413245,0.000036970952,0.00063142437],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974029,0.000043076987,0.0004876183,0.00030364425,0.00003003706,0.0017327317],"domain_scores_gemma":[0.99926823,0.00006831098,0.0003147868,0.00017311663,0.000017063561,0.00015849732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017599585,0.00016232971,0.0003713234,0.00004817007,0.00021703995,0.000093203504,0.00028100656,0.00010584895,0.00010470295],"category_scores_gemma":[0.00014475756,0.00019030187,0.00016891303,0.00020161935,0.000034427725,0.00020430668,0.000047425918,0.0012548721,0.00038762714],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014686908,0.000054285196,0.08142351,0.000042741944,0.00027621418,0.000007761327,0.00031621163,0.0045775464,0.000007855555,0.8959149,0.0042732824,0.012958833],"study_design_scores_gemma":[0.0007208668,0.00020632862,0.0035778629,0.000012235316,0.000012887247,0.000034768047,0.00007602517,0.009304665,0.0000028435907,0.9534878,0.032277837,0.00028585733],"about_ca_topic_score_codex":0.0000698787,"about_ca_topic_score_gemma":0.00024145583,"teacher_disagreement_score":0.29483774,"about_ca_system_score_codex":0.00062629895,"about_ca_system_score_gemma":0.000342163,"threshold_uncertainty_score":0.7760285},"labels":[],"label_agreement":null},{"id":"W3129002436","doi":"10.36939/cjur/vol29no2/art294","title":"Family residential choices in Montreal metropolitan area: A community-based analysis","year":2021,"lang":"en","type":"article","venue":"Canadian journal of urban research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Metropolitan area; Poverty; Geography; Socioeconomics; Immigration; Central city; Middle class; Demographic economics; Sociology; Economic growth; Political science; Economics; Regional science","score_opus":0.11220889193159815,"score_gpt":0.2978547589373969,"score_spread":0.18564586700579871,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129002436","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90427893,0.0021891878,0.00013793325,0.00063251465,0.0001999445,0.000056891404,0.000085061474,0.000002551035,0.09241698],"genre_scores_gemma":[0.9987817,0.0001294557,0.00018859291,0.00012931287,0.00012488905,0.0000024372482,0.000021902762,0.000018654131,0.0006030666],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977586,0.0004793886,0.000820698,0.00019823988,0.00009175974,0.00065129856],"domain_scores_gemma":[0.9979358,0.00044357378,0.00023782496,0.00045288788,0.00030502776,0.00062490633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005869169,0.00011546906,0.000599946,0.0037798185,0.0003290928,0.00034805477,0.00057590636,0.00012446985,0.00060902105],"category_scores_gemma":[0.0008378941,0.0001434769,0.0002811034,0.0020740458,0.00018540827,0.00022691536,0.000036397843,0.0011200021,0.000064105916],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004906838,0.000071733455,0.98354053,0.00003369721,0.00032683078,0.00054363965,0.00046961533,0.0007569334,0.00001678247,0.006099804,0.007800288,0.000291057],"study_design_scores_gemma":[0.0015069755,0.00016749043,0.93855363,0.00007811008,0.00005482549,0.000015575717,0.0027122379,0.0023791718,0.00007883206,0.021571895,0.032550912,0.00033034035],"about_ca_topic_score_codex":0.34000993,"about_ca_topic_score_gemma":0.7742909,"teacher_disagreement_score":0.434281,"about_ca_system_score_codex":0.0015170802,"about_ca_system_score_gemma":0.0013852179,"threshold_uncertainty_score":0.66683537},"labels":[],"label_agreement":null},{"id":"W3131430124","doi":"","title":"Mortgage Prepayment and Path-Dependent Effects of Monetary Policy","year":2018,"lang":"en","type":"article","venue":"CBS Research Portal (Copenhagen Business School)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Prepayment of loan; Interest rate; Floating interest rate; Economics; Monetary economics; Monetary policy; Debt; Loan; Fixed interest rate loan; Stimulus (psychology); Incentive; Macroeconomics; Finance; Microeconomics","score_opus":0.039420239555861776,"score_gpt":0.2935415082754129,"score_spread":0.25412126871955115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3131430124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82042086,0.0022876584,0.00029686996,0.00034740256,0.00039745364,0.00073908916,0.000060094073,0.000044799155,0.17540579],"genre_scores_gemma":[0.99142146,0.0021136058,0.00044639237,0.00009719998,0.00059486425,0.00007153033,0.00002605106,0.00006559127,0.0051632915],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99733496,0.00008332989,0.0008557532,0.00077531947,0.00016598812,0.0007846724],"domain_scores_gemma":[0.99810106,0.00014079243,0.00031217036,0.00078976946,0.00027783046,0.00037837808],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002181158,0.0002575837,0.000617282,0.00067158183,0.00029277994,0.00021722465,0.0004901931,0.00017706065,0.003686435],"category_scores_gemma":[0.0014075533,0.00028388522,0.000086806744,0.00082379574,0.0004459814,0.00058273086,0.00053239055,0.00033299343,0.0029526094],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020558916,0.0038951768,0.45239723,0.00802697,0.00201045,0.0017956793,0.005611478,0.0002883558,0.019825581,0.10153623,0.3103519,0.09220506],"study_design_scores_gemma":[0.0039149825,0.0008886537,0.8963062,0.00043102357,0.000039222592,0.000075036274,0.00039369488,0.0028644302,0.011308129,0.021891713,0.060304962,0.0015819429],"about_ca_topic_score_codex":0.0027568275,"about_ca_topic_score_gemma":0.00015625816,"teacher_disagreement_score":0.443909,"about_ca_system_score_codex":0.00013374984,"about_ca_system_score_gemma":0.0002373922,"threshold_uncertainty_score":0.9999613},"labels":[],"label_agreement":null},{"id":"W3131752027","doi":"10.2139/ssrn.3702775","title":"The Last Hurrah Effect: End-of-Period Temporal Landmarks Increase Financial Risk-Taking","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Period (music); Business; Economics; Monetary economics; Finance; Financial system; Art; Aesthetics","score_opus":0.009671014939787552,"score_gpt":0.1996092144350136,"score_spread":0.18993819949522603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3131752027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97587603,0.005832713,0.0017227951,0.0009223117,0.0005242565,0.00015693485,0.000029176561,0.000029772911,0.014906016],"genre_scores_gemma":[0.98891556,0.010066931,0.000051430856,0.00010525856,0.00072886865,0.000005426403,0.0000048548086,0.00003541412,0.00008624801],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99737215,0.00008401824,0.0007599767,0.00027704024,0.000051606956,0.0014552233],"domain_scores_gemma":[0.99786365,0.00015140582,0.0016128356,0.00020176552,0.000026670983,0.00014367845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035733185,0.00020431093,0.0004741077,0.000092255286,0.00053017744,0.00014976041,0.0004514156,0.00011839679,0.00010044317],"category_scores_gemma":[0.0013413158,0.00017888105,0.000268217,0.00019950696,0.000095037576,0.00019474316,0.00007666075,0.0016074639,0.00012552354],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006177793,0.00006295937,0.7629464,0.000033370452,0.00023973332,0.000011090694,0.0007700271,0.00012599754,0.000020655354,0.12942362,0.00065830734,0.10509004],"study_design_scores_gemma":[0.011097385,0.004624051,0.09183422,0.00014262571,0.00020400372,0.0006044798,0.0018328398,0.01250767,0.0002922203,0.56588215,0.30854994,0.002428393],"about_ca_topic_score_codex":0.00034183834,"about_ca_topic_score_gemma":0.0013680111,"teacher_disagreement_score":0.6711122,"about_ca_system_score_codex":0.00036757014,"about_ca_system_score_gemma":0.0006413269,"threshold_uncertainty_score":0.72945577},"labels":[],"label_agreement":null},{"id":"W3132683310","doi":"","title":"Mortgage Rates Decline and (Prime) Households Take Advantage","year":2021,"lang":"en","type":"article","venue":"Liberty Street Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Household debt; Economics; Debt; Great recession; Recession; Interest rate; Credit card; Monetary economics; Coronavirus disease 2019 (COVID-19); Financial system; Business; Finance; Labour economics; Keynesian economics; Geography; Payment","score_opus":0.025673929561669077,"score_gpt":0.21798779737595467,"score_spread":0.19231386781428558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132683310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88304985,0.0012878156,0.00079308724,0.0010921208,0.0008310078,0.000156268,0.00036142906,0.00011825061,0.11231018],"genre_scores_gemma":[0.9830997,0.007759013,0.0038315144,0.0015286406,0.00033589444,0.000017096352,0.0001562617,0.000115589384,0.0031562964],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974813,0.000023674287,0.0010171309,0.000896124,0.000018461917,0.0005633518],"domain_scores_gemma":[0.9984139,0.00014803032,0.00042499957,0.00072980224,0.000027520538,0.00025573722],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004857238,0.0003549084,0.0007821497,0.00013149263,0.00018644174,0.00033245722,0.00029896214,0.00024268749,0.0006331456],"category_scores_gemma":[0.00011189686,0.00046573798,0.0001873659,0.00013447921,0.000116477364,0.00059729995,0.00037369196,0.00025863352,0.00032729638],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075159965,0.0002861546,0.8200758,0.00009023141,0.0002795987,0.00007512193,0.00046512502,0.00045617446,0.000056866258,0.15116422,0.003339758,0.023635756],"study_design_scores_gemma":[0.0041314135,0.00017356656,0.107557386,0.00004885454,0.00006614819,0.00010958261,0.0007699943,0.037193578,0.0034679314,0.10549629,0.73843586,0.002549399],"about_ca_topic_score_codex":0.00018424618,"about_ca_topic_score_gemma":0.0008763572,"teacher_disagreement_score":0.7350961,"about_ca_system_score_codex":0.00013021931,"about_ca_system_score_gemma":0.00007494689,"threshold_uncertainty_score":0.99977946},"labels":[],"label_agreement":null},{"id":"W3133752099","doi":"10.1016/j.jmacro.2021.103306","title":"Macroeconomic uncertainty shocks and households’ consumption choice","year":2021,"lang":"en","type":"article","venue":"Journal of Macroeconomics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Economics; Consumption (sociology); Volatility (finance); Macro; Habit; Econometrics; Monetary economics; Psychology; Sociology","score_opus":0.03296028429954595,"score_gpt":0.23460490389807892,"score_spread":0.20164461959853297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133752099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98111576,0.002424208,0.0005797502,0.0010050997,0.0015349719,0.00008731714,0.00009078805,0.000022002856,0.013140081],"genre_scores_gemma":[0.9876219,0.008261853,0.0021182473,0.0008316855,0.00057113793,0.0000030300737,0.000011292797,0.000060411672,0.0005204387],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99754405,0.000032232263,0.0015933455,0.00041036832,0.000025564545,0.000394432],"domain_scores_gemma":[0.99772185,0.00021318629,0.0013768784,0.00035691672,0.000084448504,0.0002467245],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010586104,0.0002547422,0.00086440693,0.00021799463,0.00013724297,0.00028244776,0.0002847057,0.00019175572,0.0007505958],"category_scores_gemma":[0.0001902237,0.00032393239,0.00026831325,0.00007382219,0.00014239305,0.00061929674,0.00013542225,0.00037797293,0.00026260433],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018412732,0.00021358002,0.9275371,0.00015612795,0.0004781858,0.0000987533,0.00055483414,0.0039951066,0.00017484197,0.044061903,0.0046105594,0.01793492],"study_design_scores_gemma":[0.00831447,0.00036005885,0.21224771,0.00014603426,0.00014173161,0.002543821,0.00055919023,0.012797985,0.0011491984,0.08340527,0.6764177,0.001916823],"about_ca_topic_score_codex":0.00006149195,"about_ca_topic_score_gemma":0.0001790073,"teacher_disagreement_score":0.71528935,"about_ca_system_score_codex":0.0003934332,"about_ca_system_score_gemma":0.00013129058,"threshold_uncertainty_score":0.99992126},"labels":[],"label_agreement":null},{"id":"W3134275436","doi":"","title":"Housing Affordability in Chinese Cities","year":2020,"lang":"en","type":"article","venue":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University; Central University of Finance and Economics; Lincoln Institute of Land Policy","keywords":"Megacity; China; Sample (material); Business; Economic growth; Geography; Demographic economics; Socioeconomics; Economics; Economy","score_opus":0.06509772259015148,"score_gpt":0.23129256725548464,"score_spread":0.16619484466533316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134275436","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9626194,0.00019652862,0.002254658,0.006901175,0.000062030325,0.0003171055,0.00033462167,0.000036770944,0.027277702],"genre_scores_gemma":[0.99510574,0.0016403069,0.0021970666,0.000026259419,0.000033998014,5.898992e-9,0.000031917793,0.000014378455,0.000950294],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.998344,0.00019162054,0.00029537716,0.000515291,0.00018337593,0.000470348],"domain_scores_gemma":[0.9982687,0.00034058758,0.00042995228,0.00054273295,0.00021189093,0.00020611356],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013349901,0.00020128756,0.0007859786,0.0006265616,0.00052250316,0.0000147370165,0.0015177586,0.00026589612,0.0012034073],"category_scores_gemma":[0.00013640094,0.0002790843,0.00034900164,0.0011738436,0.0015579761,0.0004863387,0.00089786807,0.00072868617,0.00004456338],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005631291,0.0019241428,0.79006076,0.0015664409,0.0007095352,0.00025293973,0.15227693,0.010645699,0.000613087,0.01579727,0.006472823,0.014049084],"study_design_scores_gemma":[0.011738912,0.0015384441,0.3537046,0.00053616805,0.00015898298,0.000007750845,0.45964652,0.07223323,0.00006621558,0.0065815616,0.092116654,0.0016709734],"about_ca_topic_score_codex":0.013450483,"about_ca_topic_score_gemma":0.010850517,"teacher_disagreement_score":0.43635616,"about_ca_system_score_codex":0.00024005871,"about_ca_system_score_gemma":0.0001816524,"threshold_uncertainty_score":0.99996614},"labels":[],"label_agreement":null},{"id":"W3134285012","doi":"10.3390/jrfm14030108","title":"Housing Market in the Time of Pandemic: A Price Gradient Analysis from the COVID-19 Epicentre in China","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Auckland","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); China; Real estate; Outbreak; Epicenter; Residence; Database transaction; Economics; Business; Geography; Demographic economics; Finance; Disease; Medicine; Infectious disease (medical specialty)","score_opus":0.013845112499661427,"score_gpt":0.20774093707215013,"score_spread":0.19389582457248872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134285012","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845196,0.0023316187,0.006855263,0.0010883105,0.00016631151,0.00012527013,0.000059122354,0.0000024292658,0.0048520905],"genre_scores_gemma":[0.98511076,0.0137354005,0.00048404612,0.00052380655,0.00008404264,0.0000021894828,0.0000039217343,0.000006656387,0.00004918238],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99862206,0.000114135015,0.0008301918,0.00019178713,0.0000549683,0.00018686512],"domain_scores_gemma":[0.9987338,0.000270791,0.00070885563,0.00022165584,0.000015948,0.000048904923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025500157,0.00010874299,0.00048048043,0.00032160015,0.00008529899,0.00006585774,0.00025452767,0.000054267024,0.00012940986],"category_scores_gemma":[0.0003374969,0.00008336189,0.00018430188,0.0007676482,0.000044724406,0.00010483929,0.00009216332,0.00023426359,0.0000034289897],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011519205,0.00014247494,0.9718892,0.00002315195,0.000118520686,0.00008800175,0.004488752,0.0014560593,4.1159203e-7,0.0027497725,0.00091714505,0.018011313],"study_design_scores_gemma":[0.0009250199,0.000023231602,0.92650354,0.00002484847,0.00012573044,0.0000056450044,0.0007199913,0.0017283255,5.280588e-7,0.01774964,0.052084424,0.00010906733],"about_ca_topic_score_codex":0.0008686761,"about_ca_topic_score_gemma":0.0014759153,"teacher_disagreement_score":0.051167276,"about_ca_system_score_codex":0.00013298691,"about_ca_system_score_gemma":0.000037146754,"threshold_uncertainty_score":0.33993992},"labels":[],"label_agreement":null},{"id":"W3134516077","doi":"","title":"Banking Geography and Cross-Fertilization in the Productivity Growth of US Commercial Banks","year":2011,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Productivity; Plea; Total factor productivity; Economic geography; State (computer science); Space (punctuation); Business; Economics; Industrial organization; Monetary economics; Macroeconomics; Mathematics","score_opus":0.04328442024641541,"score_gpt":0.216525761518336,"score_spread":0.1732413412719206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134516077","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85913634,0.00007001851,0.00041391896,0.00006435651,0.000113798946,0.00010917298,0.000005867831,0.000009026954,0.14007749],"genre_scores_gemma":[0.9994417,0.00008934303,0.00029559917,0.000108777065,0.000032142274,0.0000060395137,0.00000290281,0.000008248471,0.000015254496],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99927783,0.000017865383,0.0003436006,0.00020626282,0.000013601574,0.00014085966],"domain_scores_gemma":[0.99961156,0.00003247399,0.00014524283,0.000177331,0.000017201522,0.000016170714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008744219,0.00007666426,0.00018921815,0.00016796679,0.00006105482,0.000040410494,0.00013542647,0.00005694771,0.0001629783],"category_scores_gemma":[0.000059973216,0.000071295144,0.00004206172,0.00017590725,0.000104036866,0.00025019675,0.000038349324,0.00007796757,0.000007686913],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002267508,0.000062900945,0.9324377,0.000016615168,0.000005829151,2.5156933e-7,0.0010121117,0.0000021081637,0.0000019740032,0.06446386,0.000015935804,0.0019579974],"study_design_scores_gemma":[0.00019730591,0.000021168906,0.9602072,0.0000033174279,0.000001806508,9.935491e-7,0.000016716607,0.00034187923,0.000091497095,0.03876396,0.0002670202,0.000087083594],"about_ca_topic_score_codex":0.0015905966,"about_ca_topic_score_gemma":0.00048086743,"teacher_disagreement_score":0.14030534,"about_ca_system_score_codex":0.000011893306,"about_ca_system_score_gemma":0.0000051498723,"threshold_uncertainty_score":0.2907332},"labels":[],"label_agreement":null},{"id":"W3134725702","doi":"10.2139/ssrn.3780241","title":"The Impact of the Opportunity Zone Program on the Residential Real Estate Market","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Real estate; Residential real estate; Business; Real estate development; Finance","score_opus":0.021384184691840186,"score_gpt":0.24757973292350968,"score_spread":0.22619554823166949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134725702","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8596115,0.00034528083,0.00006291289,0.0032791486,0.00044196277,0.00018773368,0.000019081119,0.000013678643,0.13603866],"genre_scores_gemma":[0.95557356,0.039915998,0.000012733833,0.000043953045,0.00021786726,0.000008094969,0.0000021621552,0.000026000867,0.004199641],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977253,0.00015680034,0.00058807636,0.00019467299,0.000062566214,0.0012725643],"domain_scores_gemma":[0.9985116,0.00021015422,0.0006161929,0.00052191137,0.000061730745,0.000078370525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004639881,0.00015211268,0.00025003724,0.000049878425,0.00067366206,0.00023058441,0.0005723253,0.00007027817,0.0002794353],"category_scores_gemma":[0.00037320063,0.000085853855,0.00042523278,0.00022605901,0.00013853291,0.00011358699,0.000100331796,0.0013264808,0.000027270533],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006733606,0.0006997736,0.044644583,0.000012777254,0.0013434016,0.000016369204,0.0006799184,0.0004844542,0.000052395477,0.53788435,0.014280839,0.39922774],"study_design_scores_gemma":[0.0016983262,0.0011089573,0.15410018,0.000051161416,0.00006572783,0.00055582414,0.0026392196,0.0047508003,0.00018761391,0.78213805,0.05206531,0.0006388073],"about_ca_topic_score_codex":0.00084070687,"about_ca_topic_score_gemma":0.0030965628,"teacher_disagreement_score":0.39858896,"about_ca_system_score_codex":0.00075202837,"about_ca_system_score_gemma":0.0018256148,"threshold_uncertainty_score":0.5762973},"labels":[],"label_agreement":null},{"id":"W3135844453","doi":"10.2139/ssrn.3183132","title":"Real Estate and Land Property Automated Valuation Systems: A Taxonomy and Conceptual Model.","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Valuation (finance); Real estate; Taxonomy (biology); Real property; Business; Computer science; Accounting; Finance; Political science; Ecology; Law","score_opus":0.03924272874909778,"score_gpt":0.22199514328929024,"score_spread":0.18275241454019245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135844453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96250224,0.0006091128,0.006964716,0.00016790642,0.00021951568,0.00025488468,0.000013653278,0.00008288845,0.02918508],"genre_scores_gemma":[0.98204994,0.016594728,0.00031570176,0.000023729017,0.00023399266,0.000014342983,0.0000046208897,0.000024398523,0.0007385401],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983069,0.000031142004,0.00044141558,0.00027096673,0.000028035614,0.00092154695],"domain_scores_gemma":[0.99942386,0.000020975891,0.0002972328,0.00011493087,0.000050323986,0.0000926578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019277013,0.00014211587,0.00028681877,0.00013184271,0.00025198833,0.00019133196,0.00009489692,0.000089462264,0.000011104572],"category_scores_gemma":[0.00004093927,0.00012500018,0.000031764484,0.00006788862,0.00015902525,0.0003508366,0.000037119196,0.00038358083,0.000041122217],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052766077,0.00017178092,0.23131815,0.00009236581,0.00078482734,0.0000069137623,0.0053841677,0.0035097578,0.00010405592,0.6526706,0.0012626254,0.10416708],"study_design_scores_gemma":[0.0013691051,0.00040040526,0.0013725944,0.000019158928,0.000020831581,0.00022436948,0.00086253724,0.9349179,0.0000037250566,0.052970722,0.0075096665,0.0003289634],"about_ca_topic_score_codex":0.0007102604,"about_ca_topic_score_gemma":0.00061938894,"teacher_disagreement_score":0.93140817,"about_ca_system_score_codex":0.00041896972,"about_ca_system_score_gemma":0.00036568881,"threshold_uncertainty_score":0.50973594},"labels":[],"label_agreement":null},{"id":"W3136033892","doi":"10.2139/ssrn.5045175","title":"Housing Market and Entrepreneurship: Micro Evidence from China","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Entrepreneurship; Portfolio; Economics; House price; China; Labour economics; Financial economics; Monetary economics; Finance","score_opus":0.015504462124085735,"score_gpt":0.21084320824555058,"score_spread":0.19533874612146485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136033892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9078194,0.07564483,0.004932677,0.0015062226,0.0009458364,0.000072876624,0.000019629711,0.00006622222,0.0089923],"genre_scores_gemma":[0.9316074,0.0660797,0.0002486075,0.00004835847,0.0005324711,0.0000020467912,0.000002523449,0.00004273991,0.0014361275],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99770963,0.000031945387,0.00047037264,0.0004464129,0.000030853564,0.0013107889],"domain_scores_gemma":[0.999399,0.0001387089,0.00015548413,0.00019871446,0.00000962464,0.00009847934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020307957,0.00018269672,0.00029440728,0.00021598807,0.00017550269,0.0005511545,0.00022540904,0.00009798173,0.00042521406],"category_scores_gemma":[0.00011811259,0.00020372751,0.00012792026,0.00013988993,0.000050460552,0.00057751447,0.00006784715,0.0011174621,0.00019492471],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027041367,0.00010219929,0.5038305,0.000114263414,0.000968444,0.00008563987,0.0026183254,0.00009603211,0.0005990832,0.1890497,0.0037639467,0.29850146],"study_design_scores_gemma":[0.00040299748,0.00012423612,0.026093462,0.00025094062,0.000043080912,0.00032603717,0.00025635635,0.005466133,0.00008499387,0.94679993,0.019601129,0.00055072043],"about_ca_topic_score_codex":0.0003999957,"about_ca_topic_score_gemma":0.00037676937,"teacher_disagreement_score":0.7577502,"about_ca_system_score_codex":0.000675719,"about_ca_system_score_gemma":0.00030972133,"threshold_uncertainty_score":0.8307767},"labels":[],"label_agreement":null},{"id":"W3136929290","doi":"10.2139/ssrn.3156782","title":"The Real Effects of Market Inefficiency: Aggregate Versus Cross-Sectional Mispricing","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Inefficiency; Aggregate (composite); Econometrics; Economics; Microeconomics","score_opus":0.01196458514666284,"score_gpt":0.23434625726461816,"score_spread":0.22238167211795531,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136929290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9183153,0.0015412257,0.0015674655,0.00010836399,0.0025410815,0.000092516326,0.0000034422428,0.000018972187,0.07581162],"genre_scores_gemma":[0.9879406,0.009562807,0.000052854233,0.000017799466,0.00074758235,0.0000030194853,9.41751e-7,0.000025645202,0.0016487548],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975706,0.00003268548,0.0006445251,0.00024438923,0.00005542336,0.0014523901],"domain_scores_gemma":[0.99871635,0.00030195652,0.0006042523,0.00023633555,0.00007589503,0.0000651935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034255427,0.00014394552,0.0002444219,0.00013794219,0.00062802987,0.00015730443,0.00040572882,0.00009664344,0.00007345428],"category_scores_gemma":[0.0003595454,0.00013034069,0.00016732328,0.0001970722,0.00023927301,0.00018836166,0.000057231275,0.00069631386,0.000109034205],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013013531,0.00011934771,0.32005465,0.000032864078,0.00047214114,0.000003163608,0.0003507644,0.000087427485,0.000104801904,0.6523564,0.0003728924,0.024744218],"study_design_scores_gemma":[0.0065220417,0.0024813607,0.32512882,0.000052368356,0.000036427366,0.00017279798,0.00027239817,0.008470891,0.0006520084,0.6267785,0.028578496,0.0008538981],"about_ca_topic_score_codex":0.00016499402,"about_ca_topic_score_gemma":0.0005070624,"teacher_disagreement_score":0.07416286,"about_ca_system_score_codex":0.00078123785,"about_ca_system_score_gemma":0.00043542893,"threshold_uncertainty_score":0.5315139},"labels":[],"label_agreement":null},{"id":"W3138361413","doi":"10.1142/s0219091521500077","title":"Taxes, Mispricing, or the Agency Cost of Managerial Discretion? Evidence from Corporation to REIT Conversions","year":2021,"lang":"en","type":"article","venue":"Review of Pacific Basin Financial Markets and Policies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Real estate investment trust; Agency cost; Enterprise value; Valuation (finance); Free cash flow; Discretion; Monetary economics; Business; Cash flow; Economics; Sample (material); Financial economics; Finance; Real estate; Shareholder; Corporate governance","score_opus":0.04159261218531784,"score_gpt":0.25921927862668814,"score_spread":0.2176266664413703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138361413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54131126,0.230433,0.020305023,0.04892057,0.006396752,0.0045569143,0.006375508,0.00008375148,0.14161721],"genre_scores_gemma":[0.583344,0.41185707,0.0011065762,0.0009636903,0.00024263626,0.000033890617,0.000049573962,0.000022779494,0.0023798186],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985639,0.00008607811,0.0008254295,0.00029002165,0.000049409075,0.00018517973],"domain_scores_gemma":[0.9985413,0.00030347618,0.00058918947,0.0004127365,0.00008364,0.00006965356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095512706,0.0001530228,0.0006432643,0.00007741508,0.00013754191,0.000046747533,0.00018225677,0.000073516625,0.00090749055],"category_scores_gemma":[0.0012699369,0.00011581084,0.00013596259,0.00036328466,0.00014539449,0.00016540558,0.00009026305,0.000087265325,0.000029767521],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014723942,0.0005809447,0.077857874,0.01831109,0.00036504542,0.000047335376,0.010830284,0.000034385535,0.0009590997,0.2454656,0.29778633,0.3462896],"study_design_scores_gemma":[0.0003686778,0.00010332298,0.116095014,0.0063233282,0.00008214363,0.000007726896,0.0002929168,0.00015946176,0.00034894393,0.0037663174,0.87205786,0.00039427503],"about_ca_topic_score_codex":0.0011662421,"about_ca_topic_score_gemma":0.00015953415,"teacher_disagreement_score":0.57427156,"about_ca_system_score_codex":0.000039246766,"about_ca_system_score_gemma":0.00010377972,"threshold_uncertainty_score":0.9936385},"labels":[],"label_agreement":null},{"id":"W3138448298","doi":"","title":"Monetary policy and housing prices : evidence for the US, Japan and Canada","year":2009,"lang":"en","type":"dissertation","venue":"Dione (University of Piraeus)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Monetary policy; Economics; Monetary economics; Macroeconomics; Keynesian economics","score_opus":0.02531584147001791,"score_gpt":0.20574269878330412,"score_spread":0.1804268573132862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138448298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98895496,0.004531202,0.00019041845,0.0010083651,0.00018872645,0.00025053718,0.000109307686,0.000010504282,0.0047559724],"genre_scores_gemma":[0.9870463,0.0104510505,0.0004886562,0.00014422701,0.00010587704,5.056546e-7,0.000095846815,0.000017881948,0.0016496835],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9992905,0.0000062414974,0.0001893106,0.00029596497,0.000027943823,0.00019003298],"domain_scores_gemma":[0.99914503,0.00017798056,0.00039878947,0.00018223788,0.000031609474,0.00006436964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002595696,0.00014042773,0.00035812988,0.00017344825,0.0003262318,0.000040933657,0.0002004934,0.000121068035,0.000016432447],"category_scores_gemma":[0.00008908229,0.00017479381,0.0000643896,0.000090373076,0.000057511264,0.0002288204,0.0000340279,0.00010489802,0.0000020185348],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023073729,0.00026020064,0.29876292,0.0042316024,0.0018041336,0.00003285364,0.023408096,0.0013133195,0.00013954472,0.09046273,0.022590637,0.5546866],"study_design_scores_gemma":[0.0008019598,0.00011930515,0.9197786,0.00023484162,0.00014945694,0.0000032721941,0.0043761125,0.0064186105,0.0000086247055,0.0041465512,0.063301645,0.00066104066],"about_ca_topic_score_codex":0.65372854,"about_ca_topic_score_gemma":0.8203769,"teacher_disagreement_score":0.62101567,"about_ca_system_score_codex":0.00014140041,"about_ca_system_score_gemma":0.00019598735,"threshold_uncertainty_score":0.71278846},"labels":[],"label_agreement":null},{"id":"W3138869928","doi":"10.1016/j.irfa.2021.101742","title":"Government real estate interventions and the stock market","year":2021,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Real estate; Stock market; Stock (firearms); Business; Economics; Financial economics; Monetary economics; Psychological intervention; Government (linguistics); Financial system; Finance; Geography; Medicine","score_opus":0.021517038749298712,"score_gpt":0.2582424467596171,"score_spread":0.23672540801031838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138869928","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.058102034,0.03459441,0.007966444,0.010265522,0.0010128716,0.0003571506,0.0008187918,0.000018245128,0.88686454],"genre_scores_gemma":[0.2457637,0.7482149,0.00089431566,0.0007480901,0.000106017476,0.000039011687,0.00006371937,0.000010639866,0.004159594],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987948,0.00003603172,0.00078552414,0.00022186537,0.000066877015,0.00009492212],"domain_scores_gemma":[0.9990555,0.00008095684,0.0004941741,0.00021810726,0.00012041436,0.00003082675],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010682737,0.00008644606,0.0005200973,0.00007039389,0.00005080893,0.00003789224,0.00019200558,0.000027910299,0.0016967896],"category_scores_gemma":[0.0010759017,0.00007747986,0.0005084086,0.00046717364,0.00008000786,0.00009075939,0.00011642884,0.000070563205,0.000022276341],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001417153,0.00029064933,0.13560621,0.0022088953,0.003153858,0.000018340004,0.00026383408,0.0000612616,0.0000023397579,0.48987243,0.014780798,0.35359964],"study_design_scores_gemma":[0.0019122096,0.00004214505,0.38873926,0.0018394126,0.0015475933,0.000013509036,0.000062131774,0.017884903,0.000020546624,0.018398784,0.5690097,0.0005297856],"about_ca_topic_score_codex":0.00026252368,"about_ca_topic_score_gemma":0.0003710579,"teacher_disagreement_score":0.8827049,"about_ca_system_score_codex":0.000083018094,"about_ca_system_score_gemma":0.00002975069,"threshold_uncertainty_score":0.9992158},"labels":[],"label_agreement":null},{"id":"W3139010766","doi":"10.1007/s11146-021-09831-7","title":"Network Formation and Effects: Observations from U.S. Commercial Real Estate Markets","year":2021,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Real estate; Business; Finance","score_opus":0.0258767890159119,"score_gpt":0.20164649162244205,"score_spread":0.17576970260653016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139010766","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9788191,0.00041931716,0.00036012422,0.001104587,0.0006137609,0.00009657418,0.00008740218,0.000008879314,0.018490287],"genre_scores_gemma":[0.47764465,0.5196278,0.0019778148,0.0002975637,0.00032177966,0.0000027501824,0.000030409778,0.000025554222,0.0000716753],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99852616,0.000058039463,0.0009129694,0.00018765761,0.000019396215,0.0002957678],"domain_scores_gemma":[0.99826074,0.00041139967,0.0009541052,0.00023595194,0.000052892356,0.000084936575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010441117,0.00017962408,0.00053687516,0.0000661134,0.00027564177,0.0001544854,0.00017277499,0.00009801361,0.000014568405],"category_scores_gemma":[0.000051471547,0.00017882841,0.00008189897,0.00009804919,0.000103279206,0.0008132304,0.00010059753,0.00024235187,0.000013804675],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010839192,0.00015666334,0.19896227,0.0001757217,0.00033822787,0.00006587933,0.009852901,0.010397445,0.000034292534,0.018780094,0.0067399135,0.75341266],"study_design_scores_gemma":[0.0023797397,0.00021551402,0.78494793,0.00012241075,0.00010469284,0.00018233024,0.0006437126,0.026996503,0.00007298089,0.05384674,0.1298992,0.00058824394],"about_ca_topic_score_codex":0.0007569208,"about_ca_topic_score_gemma":0.0011546089,"teacher_disagreement_score":0.7528244,"about_ca_system_score_codex":0.000102548096,"about_ca_system_score_gemma":0.00006260063,"threshold_uncertainty_score":0.7292411},"labels":[],"label_agreement":null},{"id":"W3139019368","doi":"10.1016/j.chieco.2021.101620","title":"Examining the impact of home purchase restrictions on China's housing market","year":2021,"lang":"en","type":"article","venue":"China Economic Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Counterfactual thinking; Real estate; Welfare; Economics; China; Estimation; Preference; Intervention (counseling); Revealed preference; Structural estimation; Business; Public economics; Microeconomics; Market economy; Finance; Econometrics","score_opus":0.0501777563177778,"score_gpt":0.2665721258581039,"score_spread":0.21639436954032612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139019368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64711946,0.030349934,0.00013329339,0.0011455755,0.0008065006,0.0004052066,0.00020125785,0.00004626073,0.31979254],"genre_scores_gemma":[0.8268872,0.17176928,0.00015617062,0.00022720236,0.00024131376,0.000031570074,0.000034056196,0.00006127148,0.00059192977],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99765843,0.00008613487,0.0012546446,0.00057869195,0.000024495826,0.00039757855],"domain_scores_gemma":[0.9977625,0.00014816306,0.00086705294,0.0010834923,0.000017830826,0.00012094567],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015166907,0.00030360013,0.001033248,0.00016585812,0.00022755399,0.00011545228,0.0004114189,0.00009634497,0.0035236727],"category_scores_gemma":[0.00024981966,0.000271792,0.0005472859,0.00025969045,0.00009564301,0.00026427367,0.00013680226,0.0003033367,0.00053379923],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026845548,0.001296704,0.31172597,0.0044782697,0.0022416855,0.00011415896,0.0016730152,0.015800199,0.00005057932,0.09738287,0.19697507,0.36799303],"study_design_scores_gemma":[0.001976271,0.0004854024,0.7818926,0.002802189,0.00015307566,0.00017826697,0.0001020512,0.013780417,0.00006248133,0.025818327,0.17096345,0.0017854597],"about_ca_topic_score_codex":0.00038377504,"about_ca_topic_score_gemma":0.000019726516,"teacher_disagreement_score":0.47016665,"about_ca_system_score_codex":0.0004655594,"about_ca_system_score_gemma":0.00015501458,"threshold_uncertainty_score":0.9999734},"labels":[],"label_agreement":null},{"id":"W3140489958","doi":"","title":"How Wall Street Investors Rescued the Market for Single Family Homes","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Market liquidity; Economic rent; Quarter (Canadian coin); Value (mathematics); Monetary economics; Finance; Economics; Market economy","score_opus":0.019099422988176292,"score_gpt":0.18876419319112692,"score_spread":0.16966477020295062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3140489958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9273007,0.004478207,0.0034692422,0.0055714906,0.0013561655,0.0004826124,0.000031592943,0.00004356212,0.05726643],"genre_scores_gemma":[0.98203003,0.0038348844,0.00017547417,0.0004018783,0.00036255014,0.00001216304,0.0000073504493,0.00005754257,0.013118107],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973756,0.000032072716,0.00044321673,0.0003212506,0.000041652096,0.0017861875],"domain_scores_gemma":[0.99897724,0.00012437721,0.0004267114,0.00035385767,0.00003685002,0.000080938626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027964448,0.00019983744,0.0003806286,0.00017436953,0.00024249186,0.0003412871,0.00051129353,0.00012025129,0.000069036716],"category_scores_gemma":[0.00012861489,0.00017620555,0.00026354106,0.0001334797,0.000053495893,0.0003819291,0.000045931334,0.0008011132,0.00009060789],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002555291,0.000142127,0.08065204,0.00004116385,0.0005080824,0.000001332566,0.00035316066,0.00009731324,0.00025156164,0.8910035,0.010338132,0.016356053],"study_design_scores_gemma":[0.0018614152,0.000639915,0.004263761,0.000019255855,0.000024759449,0.000055370943,0.0024689045,0.0024310234,0.000047431986,0.6347816,0.35284477,0.00056179677],"about_ca_topic_score_codex":0.00007991914,"about_ca_topic_score_gemma":0.00052393373,"teacher_disagreement_score":0.34250662,"about_ca_system_score_codex":0.0009639185,"about_ca_system_score_gemma":0.00035551144,"threshold_uncertainty_score":0.7185453},"labels":[],"label_agreement":null},{"id":"W3141035653","doi":"","title":"Did the Land Transfer Tax Reduce Housing Sales in Toronto","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Freehold; Real estate; Business; Recession; Finance; Leasehold estate; Transfer (computing); Economics; Political science","score_opus":0.045967521785012275,"score_gpt":0.2907260776921194,"score_spread":0.2447585559071071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3141035653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57673186,0.0012340687,0.000024212077,0.0014345619,0.0011788704,0.0008557627,0.0003173764,0.00004408226,0.4181792],"genre_scores_gemma":[0.9559812,0.041313965,0.00012486406,0.00011944136,0.0006210626,0.00025338604,0.000053528034,0.00015613271,0.0013763988],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9951393,0.00020692476,0.0016859283,0.0015230305,0.00008213669,0.0013626625],"domain_scores_gemma":[0.9972207,0.0006565307,0.00029264207,0.0015878482,0.00004459034,0.00019769534],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0049269083,0.00051611016,0.001176163,0.00054496585,0.00023930769,0.00040108303,0.0013649103,0.0007325784,0.0005507389],"category_scores_gemma":[0.00037146927,0.0004931805,0.00033541655,0.00013538032,0.00044070525,0.00036145162,0.0008104472,0.0015367948,0.00013870512],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010112466,0.00088425877,0.46110317,0.00077353406,0.000553009,0.00013241706,0.004958757,0.010486764,0.000088365276,0.045502134,0.000929369,0.473577],"study_design_scores_gemma":[0.0093623735,0.00042221355,0.19090006,0.0024988924,0.00004236229,0.000050453455,0.0037207997,0.038427882,0.00024127848,0.216676,0.5309379,0.006719745],"about_ca_topic_score_codex":0.003284083,"about_ca_topic_score_gemma":0.033225525,"teacher_disagreement_score":0.53000855,"about_ca_system_score_codex":0.004214813,"about_ca_system_score_gemma":0.00033080546,"threshold_uncertainty_score":0.999752},"labels":[],"label_agreement":null},{"id":"W3141344760","doi":"10.13060/23362839.2021.8.1.520","title":"The Impact of the COVID-19 Pandemic on the Private Rental Housing Market in Poland: What Do Experts Say and What Do Actual Data Show?","year":2021,"lang":"en","type":"article","venue":"Critical Housing Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Uniwersytet Ekonomiczny w Krakowie","keywords":"Economic rent; Quarter (Canadian coin); Renting; Pandemic; Real estate; Demographic economics; Coronavirus disease 2019 (COVID-19); Economics; Rental housing; Business; Finance; Geography; Market economy; Engineering; Medicine","score_opus":0.07424024918425208,"score_gpt":0.3165309026047295,"score_spread":0.2422906534204774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3141344760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870314,0.0060570817,0.00057775516,0.004845551,0.0003443097,0.00013164768,0.000107240325,0.000021599517,0.000883423],"genre_scores_gemma":[0.9793665,0.019510195,0.00007484489,0.0008661116,0.00009611383,0.000005030431,0.000024920791,0.000032492386,0.000023817347],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99760944,0.00027319067,0.0007766254,0.0007221639,0.00009902661,0.0005195462],"domain_scores_gemma":[0.99564195,0.0023674904,0.0002333334,0.0015484303,0.000036293062,0.00017251422],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0025254271,0.00026289865,0.00065760844,0.00023472197,0.0006201651,0.002322307,0.00070275745,0.00015282475,0.00029015684],"category_scores_gemma":[0.0022394261,0.00016819524,0.00036916835,0.00089228037,0.0005229973,0.001009493,0.0005896441,0.0003282408,0.000006309948],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031689132,0.00036496882,0.92905384,0.00007220488,0.0015194755,0.000042841868,0.003394368,0.0021666472,0.00010023146,0.011251855,0.001588559,0.05012813],"study_design_scores_gemma":[0.0057624513,0.0004381462,0.31870914,0.0019644266,0.002847334,0.00025417964,0.08695582,0.41907474,0.00030989276,0.09626678,0.062589474,0.004827627],"about_ca_topic_score_codex":0.0004892507,"about_ca_topic_score_gemma":0.0010061354,"teacher_disagreement_score":0.6103447,"about_ca_system_score_codex":0.00039034258,"about_ca_system_score_gemma":0.000120222685,"threshold_uncertainty_score":0.9987134},"labels":[],"label_agreement":null},{"id":"W3141350383","doi":"","title":"Transitory interest-rate pegs under imperfect credibility","year":2014,"lang":"en","type":"preprint","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Imperfect; Credibility; Economics; Interest rate; Monetary economics; Political science; Philosophy; Law","score_opus":0.0920636072908243,"score_gpt":0.3486288117549505,"score_spread":0.2565652044641262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3141350383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96624917,0.0006100306,0.000106260944,0.006893581,0.0012327434,0.0008714307,0.0014239425,0.000033423763,0.0225794],"genre_scores_gemma":[0.9902476,0.006485971,0.001276375,0.00070612156,0.0009466074,0.000033685996,0.000044310866,0.00008519544,0.0001741096],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9874552,0.00028475435,0.0037208635,0.0033355723,0.0002307539,0.0049728393],"domain_scores_gemma":[0.98791635,0.0015971523,0.0010888302,0.002061648,0.0007676727,0.0065683555],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.023601256,0.0009211795,0.0027321908,0.0024372577,0.00081439107,0.0015169057,0.0030070131,0.0008572463,0.00046166335],"category_scores_gemma":[0.0058138706,0.0009914032,0.00056730694,0.0007566853,0.014481375,0.0015487476,0.003325218,0.0024840503,0.0001496954],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001667315,0.00030578877,0.017970901,0.00031039867,0.00006997289,0.0000020063055,0.00006163576,0.00071041775,0.0001914521,0.9794356,0.00008505536,0.000690037],"study_design_scores_gemma":[0.0017577736,0.000819916,0.088053174,0.00022774881,0.000053769036,0.000030015464,0.0005636284,0.08764996,0.0012051131,0.8138351,0.004323073,0.0014807283],"about_ca_topic_score_codex":0.007113495,"about_ca_topic_score_gemma":0.00087470515,"teacher_disagreement_score":0.16560051,"about_ca_system_score_codex":0.0024493,"about_ca_system_score_gemma":0.0050214874,"threshold_uncertainty_score":0.99981725},"labels":[],"label_agreement":null},{"id":"W3142195563","doi":"10.1093/rof/rfab009","title":"The Strategic Response of Banks to Macroprudential Policies: Evidence from Mortgage Stress Tests in Canada*","year":2021,"lang":"en","type":"article","venue":"European Finance Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Mortgage underwriting; Intermediary; Payment; Business; Government (linguistics); Monetary economics; Interest rate; Mortgage insurance; Shared appreciation mortgage; Financial crisis; Financial system; Secondary mortgage market; Economics; Finance; Macroeconomics","score_opus":0.05595324147304951,"score_gpt":0.2537533363552314,"score_spread":0.1978000948821819,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3142195563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85690796,0.12408575,0.000029576391,0.0015060621,0.00035059373,0.00022443371,0.00020940024,0.000008297852,0.016677938],"genre_scores_gemma":[0.7660837,0.23273352,0.00014131173,0.0006115918,0.00005725615,0.000007900662,0.0000064437186,0.000028259483,0.0003299908],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978317,0.00027548458,0.0010596962,0.00042686518,0.000054211865,0.00035205533],"domain_scores_gemma":[0.9983175,0.000384692,0.00041596292,0.00076670846,0.00004574427,0.00006939742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017736616,0.00017129479,0.0005584137,0.000049721493,0.00008467782,0.00007159728,0.00056421576,0.00002202055,0.00015235603],"category_scores_gemma":[0.00074007997,0.00017125058,0.00009990824,0.00044313996,0.0000405095,0.00011033971,0.00018468786,0.00017994375,0.00024570856],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010848426,0.00056071655,0.56648505,0.0057847644,0.00033308033,0.00304903,0.0031263651,0.004942222,0.0013192695,0.030039221,0.0404866,0.34278882],"study_design_scores_gemma":[0.00036868989,0.000060490842,0.7482965,0.00878394,0.000019214554,0.000010162853,0.00017098716,0.0002287785,0.000366265,0.00047918753,0.240591,0.0006247977],"about_ca_topic_score_codex":0.17212602,"about_ca_topic_score_gemma":0.4219493,"teacher_disagreement_score":0.34216404,"about_ca_system_score_codex":0.00030115698,"about_ca_system_score_gemma":0.00049755286,"threshold_uncertainty_score":0.83338684},"labels":[],"label_agreement":null},{"id":"W3142642553","doi":"10.1108/jfep-06-2020-0125","title":"Opportunity zones: do tax benefits go to the most distressed communities?","year":2021,"lang":"en","type":"article","venue":"Journal of Financial Economic Policy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Poverty; Population; Incentive; Economics; Investment (military); Public economics; Originality; Value (mathematics); Demographic economics; Economic growth; Actuarial science; Political science; Sociology; Demography; Law; Microeconomics","score_opus":0.03979439813811226,"score_gpt":0.24446159899051204,"score_spread":0.20466720085239978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3142642553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90115047,0.0008977569,0.0005158446,0.013515926,0.002225137,0.00015460307,0.0009991532,0.000016041613,0.08052509],"genre_scores_gemma":[0.9891539,0.0025291871,0.00039374945,0.0041970676,0.0024630951,0.000008518966,0.000020097978,0.000048756043,0.001185624],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977253,0.000054684773,0.0014769661,0.00022046443,0.000037529277,0.0004850727],"domain_scores_gemma":[0.9975283,0.00016450803,0.0011828089,0.00065278844,0.000101686186,0.0003698776],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011786034,0.00024777517,0.00078250625,0.00037480865,0.00033062996,0.0003102265,0.00080534315,0.00015441704,0.00073929067],"category_scores_gemma":[0.0007833039,0.00025545963,0.00032648953,0.00027594226,0.00009414594,0.00041882403,0.00023830372,0.00044477955,0.0007438795],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029305788,0.00047661678,0.034651317,0.0000787334,0.0002755189,0.00008709007,0.0053554443,0.008897622,0.000016307531,0.69315183,0.1491102,0.10760629],"study_design_scores_gemma":[0.0013070406,0.00019145636,0.05302829,0.000095888994,0.000024901326,0.00021989433,0.00062739284,0.0004890359,0.000118263866,0.028156279,0.9151113,0.00063024793],"about_ca_topic_score_codex":0.0016565259,"about_ca_topic_score_gemma":0.0026451936,"teacher_disagreement_score":0.7660011,"about_ca_system_score_codex":0.00066958,"about_ca_system_score_gemma":0.00120604,"threshold_uncertainty_score":0.99998975},"labels":[],"label_agreement":null},{"id":"W3143142122","doi":"","title":"The Political Economy of the Subprime Mortgage Credit Expansion","year":2010,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Canadian Institute for Advanced Research","funders":"Booth School of Business, University of Chicago","keywords":"Mortgage insurance; Secondary mortgage market; Collateralized mortgage obligation; Mortgage underwriting; Government (linguistics); Shared appreciation mortgage; Business; Financial system; Subprime mortgage crisis; Legislation; Economics; Finance; Political science; Financial crisis; Law","score_opus":0.026541413203609622,"score_gpt":0.26859178031334574,"score_spread":0.24205036710973613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3143142122","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4764027,0.000035399178,0.00000213808,0.0022950894,0.00081535097,0.00026402567,0.000025335848,0.0000135524515,0.5201464],"genre_scores_gemma":[0.99766475,0.0004951704,0.00012351117,0.00024018738,0.00033371954,0.0000548611,0.000004470692,0.000051976152,0.0010313735],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.997176,0.00008252838,0.0010832518,0.0005725436,0.00005293859,0.0010327393],"domain_scores_gemma":[0.99717915,0.000853918,0.00032054976,0.0013862669,0.000058527807,0.00020158145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031117273,0.00020750065,0.00045772135,0.00024404979,0.00046618722,0.00017074382,0.0011477096,0.00025608952,0.00018420054],"category_scores_gemma":[0.00081833615,0.00017420197,0.0002489043,0.00018720105,0.00089575426,0.000223571,0.00043288656,0.0011499942,0.000076702716],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062734354,0.00013368022,0.10733356,0.000027673084,0.00004642939,0.0000027232716,0.0001756284,0.000072033334,0.00024716693,0.86290133,0.00024292736,0.028754128],"study_design_scores_gemma":[0.0014108631,0.00012330031,0.09067231,0.00003739508,0.0000069353823,0.000025979576,0.0011068099,0.0141872335,0.001996782,0.3835839,0.50613433,0.0007141915],"about_ca_topic_score_codex":0.00015688635,"about_ca_topic_score_gemma":0.00077951915,"teacher_disagreement_score":0.52126205,"about_ca_system_score_codex":0.0003282271,"about_ca_system_score_gemma":0.0002202092,"threshold_uncertainty_score":0.710375},"labels":[],"label_agreement":null},{"id":"W3144062673","doi":"","title":"Peer effects and alcohol use among college students","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Peer effects; Natural experiment; Psychology; Quarter (Canadian coin); Demography; Percentile; Lottery; Percentage point; Peer group; Peer influence; Social psychology; Mathematics; Statistics; Geography; Sociology","score_opus":0.04803624332122069,"score_gpt":0.3030875207070492,"score_spread":0.2550512773858285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3144062673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81513107,0.0002555664,0.0000036779743,0.00019197394,0.0012520575,0.0012197519,0.00028792652,0.000045672616,0.1816123],"genre_scores_gemma":[0.9674292,0.014598975,0.00063350564,0.00016680383,0.0002128168,0.00034304397,0.000077452394,0.00019481813,0.016343372],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9948913,0.00021971768,0.0014814213,0.0019180338,0.0001610367,0.001328527],"domain_scores_gemma":[0.9965894,0.0008289713,0.00057483226,0.0014485784,0.0001201176,0.0004380712],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0052957004,0.0006167988,0.0014713042,0.0011905651,0.00028390373,0.0008920551,0.0010151551,0.0009812773,0.00015600544],"category_scores_gemma":[0.001734252,0.00083383784,0.0002802597,0.00019997469,0.0005099012,0.00044966186,0.0017879102,0.0020797865,0.0001111481],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000086042586,0.00031815434,0.9799318,0.00039282307,0.0002846679,0.00008671311,0.00050355133,0.00093289267,0.0000032236228,0.0064058895,0.0009541487,0.010100143],"study_design_scores_gemma":[0.004305525,0.00021626728,0.7970984,0.00046377798,0.00003125001,0.000024447863,0.0004243375,0.010926089,0.000038620587,0.035796523,0.14813633,0.0025384473],"about_ca_topic_score_codex":0.00043733002,"about_ca_topic_score_gemma":0.00051940104,"teacher_disagreement_score":0.18283336,"about_ca_system_score_codex":0.0014111672,"about_ca_system_score_gemma":0.00018164646,"threshold_uncertainty_score":0.9994112},"labels":[],"label_agreement":null},{"id":"W3145681792","doi":"10.1257/aer.20191244","title":"State-Dependent Effects of Monetary Policy: The Refinancing Channel","year":2022,"lang":"en","type":"preprint","venue":"American Economic Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Monetary policy; Economics; Monetary economics; Construct (python library); Channel (broadcasting); State (computer science); Computer science","score_opus":0.019091428501539612,"score_gpt":0.24415672697692345,"score_spread":0.22506529847538384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3145681792","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24036813,0.49546123,0.0009513779,0.014516211,0.008865012,0.0065616677,0.0020219516,0.00029397197,0.23096046],"genre_scores_gemma":[0.34083232,0.6546304,0.00018760156,0.0027135084,0.00033174505,0.00047137093,0.000093329356,0.00013876695,0.0006009387],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9959579,0.00015717323,0.0021442145,0.0010875547,0.000049502487,0.0006036455],"domain_scores_gemma":[0.9937227,0.0003148091,0.0038986437,0.0019170196,0.0000175814,0.00012925164],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019831478,0.000547456,0.0025920302,0.0003474633,0.00016851134,0.000071672184,0.0014022962,0.00009172589,0.00040910763],"category_scores_gemma":[0.00022678141,0.00056831824,0.000730158,0.00022066753,0.00032265985,0.00012092747,0.0014863143,0.0008321731,0.00048908906],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001721383,0.00063458626,0.024301253,0.046823543,0.0035314814,0.00007545646,0.0037424641,0.056024544,0.000006091064,0.039644677,0.04476203,0.7802817],"study_design_scores_gemma":[0.0013482996,0.00064375,0.017993469,0.00478827,0.00043070753,0.000050320097,0.00026467728,0.007188336,0.000062536266,0.077527955,0.8856769,0.004024745],"about_ca_topic_score_codex":0.011222835,"about_ca_topic_score_gemma":0.00018214998,"teacher_disagreement_score":0.8409149,"about_ca_system_score_codex":0.0011168936,"about_ca_system_score_gemma":0.0003567963,"threshold_uncertainty_score":0.9996768},"labels":[],"label_agreement":null},{"id":"W3145926639","doi":"10.2139/ssrn.2972845","title":"Do Individual Investors Ignore Transaction Costs?","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Transaction cost; Market liquidity; Salient; Stock (firearms); Database transaction; Economics; Business; Monetary economics; Investment (military); Search cost; Financial economics; Microeconomics","score_opus":0.02881324063847541,"score_gpt":0.2281863644172776,"score_spread":0.1993731237788022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3145926639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8938856,0.0016342214,0.0058308397,0.001205046,0.0014701586,0.00011837177,0.000023746281,0.000036930847,0.09579504],"genre_scores_gemma":[0.99176365,0.0065930123,0.000090980204,0.00009193914,0.00047518563,0.0000039052566,0.000004814138,0.000036002315,0.00094050297],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99769443,0.000017064993,0.0004694591,0.0002792109,0.000042345386,0.0014974596],"domain_scores_gemma":[0.99879724,0.00001825419,0.000649334,0.0003960502,0.000021621241,0.00011753109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025985986,0.00016445514,0.00030038555,0.00019686823,0.0008890527,0.00061682623,0.00062640995,0.00014121561,0.00018610393],"category_scores_gemma":[0.000101788435,0.00019221423,0.00017332706,0.00004580773,0.000087413915,0.00076032936,0.000033396896,0.001254776,0.00033944886],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059962298,0.00007881811,0.14794101,0.0000071826644,0.00029129346,0.0000042218717,0.00042538327,0.000043174616,0.00000848351,0.72309595,0.00045668133,0.12758784],"study_design_scores_gemma":[0.0015567697,0.00024768247,0.028455388,0.000020168827,0.000030653875,0.00022790313,0.0008179819,0.00032800695,0.000024424837,0.9301936,0.037554853,0.00054255856],"about_ca_topic_score_codex":0.0002841519,"about_ca_topic_score_gemma":0.0011183266,"teacher_disagreement_score":0.20709766,"about_ca_system_score_codex":0.0012073925,"about_ca_system_score_gemma":0.0003620952,"threshold_uncertainty_score":0.7838269},"labels":[],"label_agreement":null},{"id":"W3147119948","doi":"","title":"Did the Community Reinvestment Act (CRA) Lead to Risky Lending","year":2012,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census tract; Census; Quarter (Canadian coin); Incentive; Business; Community Reinvestment Act; Securitization; Demographic economics; Financial system; Finance; Economics; Population; Geography; Demography; Loan","score_opus":0.11097067453664147,"score_gpt":0.2625341586664313,"score_spread":0.15156348412978984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3147119948","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36062908,0.00057275605,0.002883084,0.0029264814,0.0034507606,0.00063945254,0.0001365029,0.00014290508,0.628619],"genre_scores_gemma":[0.990455,0.0007967557,0.0025306982,0.0018121521,0.0005549333,0.00009782732,0.0000667503,0.00008236366,0.0036035539],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99780446,0.00011339949,0.0009096757,0.0004901421,0.00003871487,0.00064359885],"domain_scores_gemma":[0.99710953,0.0002223765,0.00055825815,0.0018784408,0.000021782946,0.00020958562],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003080333,0.0004076085,0.000766583,0.00024443134,0.00056013546,0.0003636951,0.001235939,0.0003443303,0.0009427633],"category_scores_gemma":[0.00018779482,0.00038203955,0.00031597947,0.000121631616,0.00009036128,0.00017474551,0.0019659468,0.0014863358,0.0035151711],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016875293,0.0011112434,0.3228611,0.00069391687,0.0012725905,0.0000056159242,0.018830786,0.0057494706,0.00003810478,0.50575286,0.09960516,0.0439104],"study_design_scores_gemma":[0.000839383,0.00013391594,0.09340617,0.0001950295,0.0000979854,0.000010288054,0.0011712937,0.0054487856,0.00039788874,0.1806224,0.71478844,0.002888424],"about_ca_topic_score_codex":0.0040116417,"about_ca_topic_score_gemma":0.00059853925,"teacher_disagreement_score":0.6298259,"about_ca_system_score_codex":0.0005556816,"about_ca_system_score_gemma":0.000043430162,"threshold_uncertainty_score":0.9999705},"labels":[],"label_agreement":null},{"id":"W3149623574","doi":"","title":"How Much Does Anticipation Matter? Evidence from Anticipated Regulation and Land Prices","year":2018,"lang":"en","type":"article","venue":"Duo Research Archive (University of Oslo)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Anticipation (artificial intelligence); Economics; Identification (biology); Empirical evidence; Boundary (topology); Quarter (Canadian coin); Public economics; Econometrics; Macroeconomics; Geography","score_opus":0.07063289804850297,"score_gpt":0.26340051482742355,"score_spread":0.19276761677892057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3149623574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9805407,0.00007673346,0.010631911,0.0017787243,0.000078871955,0.00016249149,0.00012264882,0.000016111559,0.0065918025],"genre_scores_gemma":[0.99517286,0.00059746904,0.0036440229,0.000010774471,0.000081191414,4.0776638e-7,0.000034402776,0.000009825402,0.00044901876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990536,0.000076489,0.00014550955,0.0003767861,0.00006783773,0.0002798075],"domain_scores_gemma":[0.99905074,0.00031037568,0.00017877859,0.00026190226,0.000101650105,0.00009658302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082766893,0.00008450453,0.00023464207,0.00040615603,0.0003337412,0.00011101266,0.00024565693,0.00006221196,0.00045470477],"category_scores_gemma":[0.00018273211,0.00009775315,0.000040700277,0.00021098237,0.00052401086,0.0006764712,0.00021103867,0.00013622965,0.00019791572],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000272102,0.000054696535,0.98151994,0.00007473002,0.00006747689,0.00000555734,0.0061875456,0.0000036929816,0.0028512925,0.0037396876,0.0014182195,0.0038050506],"study_design_scores_gemma":[0.00041901227,0.00012961085,0.92376816,0.00008430257,0.000007033075,5.800079e-7,0.00089654926,0.02088296,0.0002954415,0.050533786,0.0028292872,0.00015327863],"about_ca_topic_score_codex":0.004910229,"about_ca_topic_score_gemma":0.002158497,"teacher_disagreement_score":0.05775179,"about_ca_system_score_codex":0.000047687154,"about_ca_system_score_gemma":0.000023135935,"threshold_uncertainty_score":0.742283},"labels":[],"label_agreement":null},{"id":"W3150667258","doi":"","title":"Real Estate Portfolio Allocation: The European Consumersâ€™ Perspective","year":2006,"lang":"en","type":"preprint","venue":"eScholarship (California Digital Library)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Portfolio; Investment (military); Futures contract; Consumption (sociology); Quarter (Canadian coin); Business; Perspective (graphical); Economics; Investment portfolio; Financial economics; Finance","score_opus":0.02158657301647722,"score_gpt":0.20617838425628643,"score_spread":0.18459181123980922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3150667258","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11154053,0.00034525795,0.00021117873,0.0017793245,0.00074945216,0.0004917513,0.0074732443,0.00041077114,0.8769985],"genre_scores_gemma":[0.9860788,0.0023356955,0.000701802,0.0004169584,0.0010521746,0.000050812447,0.003394534,0.0003594079,0.005609795],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99643046,0.0001335848,0.0013824595,0.0012556405,0.00009775524,0.0007000897],"domain_scores_gemma":[0.9972128,0.00014898744,0.001054562,0.0012608669,0.00006133327,0.000261411],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000996971,0.00066129165,0.0007756682,0.00034791362,0.0003184641,0.003924585,0.0013525435,0.00034103004,0.00071504764],"category_scores_gemma":[0.00020045224,0.00066516217,0.0005296407,0.00030693383,0.00031437012,0.0017129304,0.0012956131,0.0014146484,0.009284051],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027158813,0.0008999981,0.65800524,0.00038648583,0.0010828419,0.0003150119,0.000920757,0.0013228593,0.0000031635639,0.1678914,0.100718334,0.068182305],"study_design_scores_gemma":[0.00070740026,0.00004556386,0.042760585,0.00010637097,0.000049477138,0.000021821907,0.0001980706,0.0008507851,0.000020352372,0.21698552,0.7365758,0.0016782451],"about_ca_topic_score_codex":0.00040982393,"about_ca_topic_score_gemma":0.000020605195,"teacher_disagreement_score":0.8745383,"about_ca_system_score_codex":0.00029561238,"about_ca_system_score_gemma":0.00019475457,"threshold_uncertainty_score":0.99957997},"labels":[],"label_agreement":null},{"id":"W3151380630","doi":"10.3130/aija.86.971","title":"THE RELATIONSHIP BETWEEN LOCAL LIVABILITY AND RENT","year":2021,"lang":"en","type":"article","venue":"Journal of Architecture and Planning (Transactions of AIJ)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Future Earth","funders":"","keywords":"Amenity; Proxy (statistics); Variables; Public economics; Demographic economics; Economics; Psychology; Statistics; Mathematics; Finance","score_opus":0.03773589000338305,"score_gpt":0.24191454045746286,"score_spread":0.2041786504540798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3151380630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85907495,0.0028409488,0.13450079,0.0016475928,0.00023059985,0.000033545086,0.000023693641,0.0000040395403,0.0016438605],"genre_scores_gemma":[0.9976874,0.00037325764,0.0017417405,0.00002291276,0.00009990887,4.1902712e-7,0.0000012990664,0.000006780821,0.00006629486],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918985,0.000031286472,0.00053391623,0.00010683913,0.000027908043,0.000110198445],"domain_scores_gemma":[0.998521,0.0009332244,0.00031257342,0.0001202141,0.00004305813,0.000069940485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006990171,0.00007454929,0.00025276325,0.00010420512,0.00021868886,0.000051533083,0.000072565315,0.00006837945,0.00001708591],"category_scores_gemma":[0.00020329707,0.00006310609,0.000088435176,0.000092758266,0.00012203427,0.000093395174,0.000008532915,0.00035227128,9.997896e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010682128,0.000044104087,0.9355336,0.00008403899,0.00015537589,0.00000856148,0.00295334,0.004842824,0.000014440461,0.0019082397,0.00014557815,0.0542031],"study_design_scores_gemma":[0.0007560098,0.0002456637,0.890032,0.00014293341,0.00006867584,0.00025476128,0.0010690956,0.0004222904,0.00018466328,0.08604878,0.020560944,0.00021419357],"about_ca_topic_score_codex":0.000017904867,"about_ca_topic_score_gemma":0.000016123799,"teacher_disagreement_score":0.13861245,"about_ca_system_score_codex":0.000020454994,"about_ca_system_score_gemma":0.000035803787,"threshold_uncertainty_score":0.25733915},"labels":[],"label_agreement":null},{"id":"W3152372127","doi":"","title":"Alternative Approaches to Measuring House Price Inflation","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hedonic regression; Hedonic index; Econometrics; Imputation (statistics); Index (typography); Stock (firearms); Economics; Quarter (Canadian coin); Price index; Inflation (cosmology); Hedonic pricing; House price; Regression; Land price; Regression analysis; Order (exchange); Statistics; Computer science; Mathematics; Agricultural economics; Geography; Missing data; Finance","score_opus":0.2303309277094807,"score_gpt":0.28068621994020865,"score_spread":0.05035529223072796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3152372127","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41500545,0.00013652851,0.0002738386,0.00022688492,0.0010091837,0.0011172052,0.00006507209,0.00011697275,0.5820489],"genre_scores_gemma":[0.99033815,0.00460938,0.0025256844,0.00009912594,0.00056482974,0.00044113243,0.000037331145,0.0002482373,0.0011361389],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9950946,0.00013790208,0.0016034506,0.0018509824,0.00009307196,0.0012199864],"domain_scores_gemma":[0.9970526,0.00027257518,0.0006861153,0.0015263695,0.00006864091,0.0003937027],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0045747645,0.0005326877,0.0011410151,0.0017656797,0.0002140188,0.0003849567,0.0013014205,0.00065542106,0.00020727354],"category_scores_gemma":[0.000718946,0.0007352551,0.00029067247,0.00025696625,0.00018732135,0.00034198863,0.0017916982,0.0017844487,0.00055111764],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008653066,0.00116472,0.16632757,0.0010064931,0.0009715765,0.00007290239,0.01771838,0.29395774,0.000027009257,0.16541967,0.0002680393,0.3522006],"study_design_scores_gemma":[0.0038384686,0.0005507933,0.08757999,0.0010552461,0.0000373175,0.000026745216,0.0014570467,0.2202359,0.00088537054,0.549366,0.12842172,0.006545394],"about_ca_topic_score_codex":0.0007453862,"about_ca_topic_score_gemma":0.00051298365,"teacher_disagreement_score":0.5809127,"about_ca_system_score_codex":0.0022529203,"about_ca_system_score_gemma":0.00025213402,"threshold_uncertainty_score":0.9995099},"labels":[],"label_agreement":null},{"id":"W3152395964","doi":"10.32468/be.992","title":"The maple bubble : a history of migration among canadian provinces","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Maple; Bubble; Geography; Biology; Computer science; Ecology; Operating system","score_opus":0.03278405715711069,"score_gpt":0.19023909147230067,"score_spread":0.15745503431518998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3152395964","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12564385,0.002010575,0.00008963983,0.0010742118,0.0035840312,0.00032059022,0.00009577324,0.000022812115,0.86715853],"genre_scores_gemma":[0.94058466,0.0015662251,0.00021979855,0.000045108212,0.00015994535,0.00004294008,0.00003924929,0.000027642285,0.05731446],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99876934,0.000010342199,0.00057200977,0.00035480768,0.000019527342,0.0002739813],"domain_scores_gemma":[0.99803007,0.00003849938,0.00091426645,0.00087173,0.000036472728,0.00010896849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084294693,0.00016168642,0.00038386285,0.00018011768,0.00019189526,0.00016952683,0.00066313206,0.0002448951,0.00028872592],"category_scores_gemma":[0.00013343449,0.00015754023,0.00015460179,0.000014763905,0.00019661659,0.00013327872,0.00016944249,0.0002407037,0.000117355856],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032789987,0.000060581504,0.5663511,0.00032936764,0.0002745388,0.0000049153628,0.0029030654,0.0005856226,0.0000018591061,0.15217444,0.25463322,0.02264848],"study_design_scores_gemma":[0.000095812415,0.000014326826,0.029794093,0.000029435503,0.000007708498,3.4967786e-7,0.00005405109,0.010358186,0.00000585098,0.03639596,0.9229507,0.00029351717],"about_ca_topic_score_codex":0.74333,"about_ca_topic_score_gemma":0.9232177,"teacher_disagreement_score":0.8149408,"about_ca_system_score_codex":0.0015296037,"about_ca_system_score_gemma":0.0008502971,"threshold_uncertainty_score":0.6424304},"labels":[],"label_agreement":null},{"id":"W3152953590","doi":"10.2139/ssrn.3607876","title":"Location, Location, Location: Manufacturing and House Price Growth","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Business; Location theory; Transport engineering; Industrial organization; Economic geography; Geography; Engineering","score_opus":0.013509200017839462,"score_gpt":0.1857013398836114,"score_spread":0.17219213986577195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3152953590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5749652,0.018493572,0.36679175,0.023551319,0.00072091393,0.00046167502,0.0000059645995,0.00028861882,0.01472101],"genre_scores_gemma":[0.99003273,0.008214169,0.00020271885,0.000706264,0.00053070294,0.000005574031,0.0000035496241,0.00005239575,0.00025187514],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979832,0.000019807423,0.0005853352,0.00035192704,0.000039844752,0.0010198461],"domain_scores_gemma":[0.9991315,0.00003346664,0.00039381243,0.00016277116,0.00011105995,0.00016740515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010784378,0.00017414056,0.00027212573,0.00013687882,0.00027593298,0.00019007723,0.0002548773,0.000091320646,0.000049303908],"category_scores_gemma":[0.0001922162,0.00021035344,0.00004794115,0.0002894928,0.000048425525,0.0005066559,0.000046446177,0.0007399758,0.0003521522],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011968137,0.0001135446,0.052682947,0.00023829164,0.00033580422,0.000003810937,0.002368748,0.002566517,0.000011999898,0.9230514,0.0012979392,0.017209278],"study_design_scores_gemma":[0.0029766897,0.0005400752,0.03396015,0.00007977448,0.000059293605,0.00045354397,0.002064878,0.012490774,0.00047219254,0.903712,0.04172099,0.0014696887],"about_ca_topic_score_codex":0.000082647246,"about_ca_topic_score_gemma":0.00010079533,"teacher_disagreement_score":0.41506758,"about_ca_system_score_codex":0.0005895797,"about_ca_system_score_gemma":0.000498262,"threshold_uncertainty_score":0.8577964},"labels":[],"label_agreement":null},{"id":"W3153392799","doi":"10.34989/san-2021-4","title":"Update on housing market imbalances and household indebtedness","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Household debt; Economics; Affordable housing; Business; Labour economics; Debt; Finance; Economic growth","score_opus":0.03801112828063809,"score_gpt":0.230966308430599,"score_spread":0.19295518014996094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153392799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9196282,0.00040017997,0.0010869525,0.0011304312,0.0003223958,0.00005970708,0.00012589258,0.000058893944,0.07718735],"genre_scores_gemma":[0.9975692,0.0006775556,0.00090270117,0.00042601922,0.00014176907,0.0000017480435,0.000011173702,0.00003361344,0.00023622224],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99865663,0.000020912,0.0004208391,0.0005074812,0.00003594785,0.0003582055],"domain_scores_gemma":[0.999213,0.00018565275,0.00012340875,0.000311026,0.000022661903,0.00014429788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033586664,0.00017984051,0.00044731406,0.00013919338,0.00012803843,0.00020850314,0.00011636052,0.00012113018,0.0005509203],"category_scores_gemma":[0.0003000186,0.0002036643,0.00009453536,0.00022442361,0.000120516845,0.00016370491,0.0000939108,0.00017339973,0.000089039924],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026209277,0.00084265455,0.5226927,0.00019144335,0.00043161155,0.00025035912,0.00031222627,0.0014966893,0.00005329555,0.45065883,0.0047248453,0.01808327],"study_design_scores_gemma":[0.0040203743,0.0005122932,0.09706566,0.00023390581,0.00017370598,0.00008644406,0.00071489805,0.48103243,0.0010910586,0.26047537,0.15111099,0.0034828936],"about_ca_topic_score_codex":0.000058295864,"about_ca_topic_score_gemma":0.000043924756,"teacher_disagreement_score":0.47953573,"about_ca_system_score_codex":0.00006874416,"about_ca_system_score_gemma":0.000033906992,"threshold_uncertainty_score":0.83051896},"labels":[],"label_agreement":null},{"id":"W3154326064","doi":"","title":"A study of the Canadian property boom","year":2020,"lang":"en","type":"dissertation","venue":"DSpace@MIT (Massachusetts Institute of Technology)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Boom; Property (philosophy); Engineering; Philosophy; Epistemology","score_opus":0.027758771650090823,"score_gpt":0.2211054505642224,"score_spread":0.19334667891413157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154326064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7640941,0.0006403098,0.000006336503,0.0039128107,0.0034202917,0.0016255785,0.00037322624,0.00013871696,0.22578862],"genre_scores_gemma":[0.9951107,0.00015269012,0.0004057536,0.00007655671,0.00006428076,0.00008236964,0.000085121,0.00008049818,0.003942014],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974774,0.000016033626,0.0012005804,0.00074438605,0.00009210199,0.00046950113],"domain_scores_gemma":[0.9970724,0.000010438057,0.0014546723,0.0012198645,0.00011154459,0.00013109438],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002891515,0.00043881233,0.0012218835,0.0011770226,0.00030512013,0.000053449672,0.0014850307,0.0010053032,0.00008233186],"category_scores_gemma":[0.0004457478,0.00037175204,0.00027365706,0.001028028,0.00026656536,0.00018921804,0.00015270167,0.00088608183,0.00009601113],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004707817,0.00285499,0.67622244,0.0023647367,0.0048921136,0.00020476071,0.022471657,0.00053917454,0.00042038073,0.20520517,0.035946768,0.048407048],"study_design_scores_gemma":[0.0017372255,0.00048483626,0.022298636,0.00030853495,0.00019183222,0.000007715888,0.0025722834,0.00028106026,0.0009879646,0.0065688617,0.96341246,0.0011486014],"about_ca_topic_score_codex":0.042155463,"about_ca_topic_score_gemma":0.54974824,"teacher_disagreement_score":0.9274657,"about_ca_system_score_codex":0.00041243408,"about_ca_system_score_gemma":0.0006055207,"threshold_uncertainty_score":0.99987346},"labels":[],"label_agreement":null},{"id":"W3155092222","doi":"10.1111/jmcb.12817","title":"Housing and Tax Policy: Comment","year":2021,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Economics; Context (archaeology); Range (aeronautics); Quarter (Canadian coin); Econometrics; Tax policy; Short run; Mathematical economics; Tax reform; Macroeconomics; Public economics; Engineering; Geography","score_opus":0.026291616872964874,"score_gpt":0.223479757056301,"score_spread":0.1971881401833361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155092222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.971352,0.0042830734,0.0014128095,0.007995845,0.00070395233,0.000029771803,0.000012526829,0.000006926869,0.014203133],"genre_scores_gemma":[0.9920166,0.0041410606,0.002029743,0.0007745432,0.00094165205,3.1892841e-7,0.00000126109,0.000014968087,0.000079868914],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99914867,0.000012310451,0.0005068744,0.00013271447,0.000027762273,0.00017165259],"domain_scores_gemma":[0.9992957,0.000058570346,0.00042515807,0.00009028979,0.000038043312,0.00009220463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059069914,0.000092602226,0.00034042358,0.00019144763,0.00012192526,0.00018187275,0.000064964835,0.00006172041,0.00006573516],"category_scores_gemma":[0.00011750252,0.00010198297,0.00006689388,0.00009309818,0.000039239367,0.00024598758,0.00007529429,0.00016146139,0.000003773274],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022044546,0.0003669189,0.6119381,0.00030632623,0.000679908,0.00052192115,0.005682425,0.00036624807,0.0010651516,0.13440435,0.033222448,0.21122578],"study_design_scores_gemma":[0.0038755492,0.00031335256,0.07116377,0.00036879303,0.0000790767,0.0010230023,0.0009394906,0.0056930906,0.0009410512,0.19654468,0.71817714,0.0008809837],"about_ca_topic_score_codex":0.000052792537,"about_ca_topic_score_gemma":0.000012935792,"teacher_disagreement_score":0.6849547,"about_ca_system_score_codex":0.00006544771,"about_ca_system_score_gemma":0.00004321085,"threshold_uncertainty_score":0.41587448},"labels":[],"label_agreement":null},{"id":"W3155740160","doi":"10.5267/j.ac.2021.4.009","title":"Factors affecting capital structure of businesses in real estate sector on stock exchange","year":2021,"lang":"en","type":"article","venue":"Accounting","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital structure; Real estate; Business; Stock exchange; Capitalization rate; Real estate investment trust; Finance; Cost of capital; Panel data; Corporate Real Estate; Economics; Econometrics; Microeconomics","score_opus":0.037707264241556425,"score_gpt":0.22457865468116772,"score_spread":0.1868713904396113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155740160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.975996,0.00006230912,0.00001514865,0.000028181948,0.0005897674,0.00007573893,0.00006310247,0.00002458522,0.023145134],"genre_scores_gemma":[0.9993358,0.00024236948,0.00013753926,0.000027429833,0.00014853931,0.0000010788343,0.000029323539,0.000033157892,0.000044727374],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989021,0.000012057738,0.00044703108,0.0003287843,0.00002720635,0.00028285827],"domain_scores_gemma":[0.99922633,0.00014879997,0.0003518504,0.00020954355,0.000036007747,0.000027492202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000222985,0.00015418627,0.0003900476,0.00021658694,0.00006446333,0.00007852335,0.00011324389,0.00010027891,0.0003587164],"category_scores_gemma":[0.0002658421,0.00018011918,0.000068484056,0.00029963272,0.0000209538,0.000291641,0.00007004735,0.00015994118,0.000015667365],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011367704,0.000044603472,0.9874764,0.00016020985,0.000023584471,0.000008967837,0.0034995824,0.0004939441,0.00073911,0.0006872779,0.00003783572,0.0068171085],"study_design_scores_gemma":[0.0005654324,0.00003244533,0.9898515,0.00008612581,0.000005765531,0.0000030434298,0.001443953,0.0010554129,0.0042107394,0.0013824408,0.00094166625,0.00042148278],"about_ca_topic_score_codex":0.0015820544,"about_ca_topic_score_gemma":0.0022492476,"teacher_disagreement_score":0.023339802,"about_ca_system_score_codex":0.0001090645,"about_ca_system_score_gemma":0.000030013203,"threshold_uncertainty_score":0.7345047},"labels":[],"label_agreement":null},{"id":"W3156434315","doi":"10.1093/rfs/hhab047","title":"The Effects of a Targeted Financial Constraint on the Housing Market","year":2021,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo; York University","funders":"","keywords":"Bidding; Constraint (computer-aided design); Common value auction; Payment; Financial market; Finance; Economics; Business; Microeconomics; Monetary economics","score_opus":0.02643862890488395,"score_gpt":0.2403396388377041,"score_spread":0.21390100993282013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156434315","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10396539,0.8350323,0.00008698357,0.005827603,0.002300143,0.00084729434,0.00009493293,0.000022647855,0.05182275],"genre_scores_gemma":[0.25053558,0.7469101,0.00015647158,0.0019228413,0.0001855494,0.000055063578,0.0000024627204,0.00001992866,0.00021199249],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99843293,0.00008343461,0.0009101063,0.000255432,0.000051614723,0.00026646283],"domain_scores_gemma":[0.9975396,0.0012051249,0.00068701623,0.00039902082,0.00013608162,0.000033162945],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0014965296,0.0001785414,0.00089848175,0.000037296013,0.00030583167,0.000017969978,0.00023090738,0.000059977632,0.00006098391],"category_scores_gemma":[0.016107017,0.00012547332,0.0003146148,0.00030126484,0.00033482345,0.000043818847,0.00012722735,0.00015771679,0.00002429244],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009173694,0.0002573969,0.0050350293,0.017845754,0.0003898316,0.00003198166,0.00079521595,0.000004222456,0.000056315315,0.6140807,0.15243499,0.20897679],"study_design_scores_gemma":[0.0009558595,0.00035397368,0.031797666,0.017357947,0.00013462242,0.000008297505,0.00019269716,0.00005633569,0.002170646,0.048475552,0.8977862,0.0007101823],"about_ca_topic_score_codex":0.00001514217,"about_ca_topic_score_gemma":0.000039537794,"teacher_disagreement_score":0.74535125,"about_ca_system_score_codex":0.00007133872,"about_ca_system_score_gemma":0.00016146987,"threshold_uncertainty_score":0.9921807},"labels":[],"label_agreement":null},{"id":"W3156886174","doi":"10.36689/uhk/hed/2021-01-042","title":"The COVID-19 Pandemic and the Professional Situation on the Real Estate Market in Poland","year":2021,"lang":"en","type":"article","venue":"Hradec Economic Days ...","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Business; Market research; Work (physics); Quarter (Canadian coin); Corporate Real Estate; Scope (computer science); Finance; Marketing; Engineering; Geography; Computer science","score_opus":0.0451267438601891,"score_gpt":0.25776143551678765,"score_spread":0.21263469165659854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156886174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76925826,0.00026796592,0.000029590885,0.026162732,0.0009372374,0.0003741174,0.000088249224,0.00002686559,0.202855],"genre_scores_gemma":[0.97812015,0.015888214,0.000033370612,0.002444413,0.00017208718,0.000088459776,0.000024859542,0.000030665695,0.0031978013],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982849,0.00018731362,0.00069379626,0.00045348148,0.000027279637,0.00035328034],"domain_scores_gemma":[0.99676055,0.00225886,0.00035213388,0.0005200627,0.000008846967,0.00009952338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037462064,0.00018507722,0.00034413795,0.0000780587,0.0005785914,0.0002772963,0.0003231465,0.00010766561,0.00047509425],"category_scores_gemma":[0.0004966626,0.000120261415,0.00009841702,0.00008704577,0.00029714176,0.00015363174,0.00014560194,0.0003216998,0.00022454193],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078650826,0.00007853334,0.44429198,0.000032963482,0.00012460367,0.0000123306845,0.004582799,0.00082152797,0.00000511654,0.5066498,0.02837168,0.014242192],"study_design_scores_gemma":[0.005214526,0.000042375745,0.15887967,0.000026838119,0.000017292565,0.00006760978,0.0022661714,0.050577976,0.0000061331466,0.18385738,0.59845555,0.00058847154],"about_ca_topic_score_codex":0.0008324335,"about_ca_topic_score_gemma":0.0043122685,"teacher_disagreement_score":0.57008386,"about_ca_system_score_codex":0.00040551097,"about_ca_system_score_gemma":0.00019796737,"threshold_uncertainty_score":0.5201949},"labels":[],"label_agreement":null},{"id":"W3157572684","doi":"10.1017/9781108865715.010","title":"A Sub-prime Loan by Any Other Name Is Just as Predatory","year":2020,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Loan; Mortgage loan; Business; Government (linguistics); Financial system; Private sector; Prime (order theory); Finance; Economics; Mathematics; Economic growth","score_opus":0.02916991188251775,"score_gpt":0.17919882572178064,"score_spread":0.1500289138392629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157572684","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001264542,0.0007360258,0.0002208113,0.000113148846,0.0004388651,0.00038338773,0.0036538653,0.00016243121,0.9930269],"genre_scores_gemma":[0.008829999,0.00071657,0.000044078835,0.0008976374,0.00024018623,0.0000012032875,0.000102600614,0.00016035937,0.98900735],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99795735,0.0000150909555,0.0004921467,0.0010408706,0.00006200307,0.00043251103],"domain_scores_gemma":[0.9981607,0.000038669074,0.0006447956,0.00076989474,0.000046689445,0.0003392201],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001741621,0.0005314706,0.0008840079,0.00023180757,0.00019363192,0.00013487779,0.0007411899,0.000660404,0.00024643948],"category_scores_gemma":[0.00001533501,0.00081286323,0.00040270938,0.000012817204,0.00024065164,0.00019204081,0.0004055747,0.0005967638,0.0016165609],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011261752,0.000018530385,0.000074393654,0.00010388112,0.000318001,0.000069510774,0.00017058992,8.91263e-7,0.000015878015,0.75633585,0.24202822,0.0007516561],"study_design_scores_gemma":[0.00064911094,0.000062634186,0.0000117388145,0.00005385596,0.000070151254,0.0000059307035,0.000025544374,0.00020538489,0.0002447536,0.00020100319,0.9976272,0.00084269606],"about_ca_topic_score_codex":0.0004417513,"about_ca_topic_score_gemma":0.0000040310024,"teacher_disagreement_score":0.7561348,"about_ca_system_score_codex":0.0004594378,"about_ca_system_score_gemma":0.00010121754,"threshold_uncertainty_score":0.9994322},"labels":[],"label_agreement":null},{"id":"W3157818398","doi":"10.3390/su13095088","title":"The Spatial and Temporal Decomposition of the Effect of Floods on Single-Family House Prices: A Laval, Canada Case Study","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Université du Québec à Rimouski; Institut National de la Recherche Scientifique","funders":"","keywords":"Flood myth; Floodplain; Event (particle physics); Negotiation; Estimation; Estimator; Econometrics; Process (computing); Computer science; Event study; Operations research; Geography; Economics; Statistics; Mathematics; Cartography; Sociology","score_opus":0.010452829005694693,"score_gpt":0.22426320415487158,"score_spread":0.2138103751491769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157818398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99802494,0.0001644534,0.000026067153,0.0003012095,0.00027409356,0.0005246003,0.000029602157,0.000008786045,0.00064624666],"genre_scores_gemma":[0.99987465,0.0000130350545,0.0000128551455,0.00002058814,0.00002613026,0.000014031202,0.0000012085605,0.000014116136,0.000023357023],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99885017,0.00015448159,0.0004955847,0.00027318162,0.00004121806,0.00018537455],"domain_scores_gemma":[0.9985952,0.00043171243,0.00030273918,0.000521027,0.00010833688,0.000040976873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011705598,0.000118849,0.00033225742,0.00003035741,0.00021830424,0.000043235912,0.00012932938,0.00004563571,0.0000049208093],"category_scores_gemma":[0.0006927477,0.000088904264,0.00007843702,0.00015278412,0.00012549096,0.000054786735,0.00011483844,0.0001143156,2.7579273e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014393378,0.0002175579,0.9935533,0.00017759528,0.000050976047,0.00007084216,0.0006939964,0.00014268525,0.000007905483,0.00039160813,0.00007353303,0.0044760914],"study_design_scores_gemma":[0.0036408815,0.0027304832,0.96202743,0.000040839102,0.000099506746,0.00011013799,0.012974119,0.0030630433,0.0030945558,0.007453732,0.004183861,0.0005814277],"about_ca_topic_score_codex":0.4640173,"about_ca_topic_score_gemma":0.5167791,"teacher_disagreement_score":0.052761808,"about_ca_system_score_codex":0.0005084311,"about_ca_system_score_gemma":0.00035321183,"threshold_uncertainty_score":0.53955185},"labels":[],"label_agreement":null},{"id":"W3159252980","doi":"10.20944/preprints202105.0031.v1","title":"Taking Stock of Some Recent and Notable Contribution to Research in Portfolio Analysis","year":2021,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Portfolio; Econometrics; Covariance matrix; Modern portfolio theory; Sharpe ratio; Sample (material); Sample mean and sample covariance; Computer science; Portfolio optimization; Stock (firearms); Population; Economics; Mathematics; Statistics; Financial economics; Algorithm; Engineering","score_opus":0.2619719701959239,"score_gpt":0.37543002449173374,"score_spread":0.11345805429580985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159252980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9779646,0.00070328516,0.0003099564,0.00040536586,0.00037615042,0.0005448758,0.00009324531,0.000020857844,0.019581705],"genre_scores_gemma":[0.9933493,0.0058729,0.00026073918,0.00005480297,0.000086021406,0.00009761258,0.00011668899,0.000030837455,0.00013107341],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967039,0.000109635424,0.0012993724,0.0012438821,0.0000902973,0.00055286224],"domain_scores_gemma":[0.9976537,0.00012261474,0.00073999993,0.0011045755,0.00021543425,0.00016367077],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005175294,0.00023777991,0.0012080235,0.0017976899,0.00008394609,0.00008515274,0.00041877409,0.0003717212,0.0022639234],"category_scores_gemma":[0.00090734614,0.0003373683,0.00020916137,0.0011262251,0.00007449775,0.00017861147,0.001995152,0.0008022081,0.00017159882],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055552337,0.00013086057,0.9858467,0.000108828484,0.00032770974,0.000008721911,0.00043908652,0.0047108233,0.00009738621,0.006397995,0.0000068647714,0.0018694961],"study_design_scores_gemma":[0.0004037577,0.000017244774,0.97475004,0.00016707189,0.000053466167,0.0000011539074,0.00010782609,0.0039422964,0.0014061512,0.015251437,0.0034843287,0.00041522546],"about_ca_topic_score_codex":0.004276081,"about_ca_topic_score_gemma":0.0007436127,"teacher_disagreement_score":0.019450631,"about_ca_system_score_codex":0.00060840277,"about_ca_system_score_gemma":0.00013322229,"threshold_uncertainty_score":0.99990785},"labels":[],"label_agreement":null},{"id":"W3160296712","doi":"","title":"The strategic response of banks to macroprudential policies: Evidence from mortgage stress tests in Canada","year":2020,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Intermediary; Government (linguistics); Business; Mortgage underwriting; Database transaction; Financial system; Monetary economics; Economics; Mortgage insurance; Finance","score_opus":0.07721249307648463,"score_gpt":0.3079505281186058,"score_spread":0.23073803504212115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160296712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.972946,0.0005087345,0.0000037179973,0.0018696993,0.0008779628,0.00082880043,0.0012592542,0.000015389256,0.021690467],"genre_scores_gemma":[0.98815274,0.010760388,0.00018204268,0.0001336418,0.0002214534,0.00015106137,0.00003742473,0.000090089925,0.00027116458],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99476254,0.00036612776,0.002156496,0.0014011667,0.00014998176,0.0011637055],"domain_scores_gemma":[0.9942724,0.0029708487,0.0006972088,0.0016211072,0.00007517182,0.0003632315],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0039929636,0.00044348493,0.0012001584,0.0006208279,0.00017572164,0.00037834747,0.0021639073,0.0003666484,0.0001586431],"category_scores_gemma":[0.0017902759,0.0005141614,0.00020037759,0.0003716502,0.00025088078,0.00015329814,0.0018072787,0.0018549543,0.0000397044],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005100949,0.00029217658,0.80053276,0.0005533318,0.00044491293,0.00032742298,0.005001386,0.13679706,0.0004462448,0.0037431475,0.0006620673,0.046098545],"study_design_scores_gemma":[0.002017216,0.00037959672,0.87502646,0.0018560629,0.000019917788,0.000005768787,0.008539697,0.06600064,0.0009078768,0.029530803,0.013135408,0.0025805705],"about_ca_topic_score_codex":0.7645866,"about_ca_topic_score_gemma":0.92643523,"teacher_disagreement_score":0.1618486,"about_ca_system_score_codex":0.004617903,"about_ca_system_score_gemma":0.0037290817,"threshold_uncertainty_score":0.999731},"labels":[],"label_agreement":null},{"id":"W3162354656","doi":"","title":"Détecter l’exubérance des prix des logements dans des villes canadiennes","year":2021,"lang":"fr","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.030094879425399537,"score_gpt":0.20878520368878617,"score_spread":0.17869032426338663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162354656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68438226,0.012929281,0.0052248226,0.0003755025,0.001781977,0.000121585006,0.00017163689,0.000047222467,0.2949657],"genre_scores_gemma":[0.85627216,0.027321853,0.026806211,0.00043228673,0.00039708975,0.000028838573,0.000045789107,0.00011329237,0.08858249],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969482,0.00005513319,0.00092130253,0.000838069,0.000034489625,0.0012028384],"domain_scores_gemma":[0.99861103,0.0001095812,0.0002706539,0.00057761295,0.00013488154,0.00029621995],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005965678,0.00040079342,0.0006744133,0.00019695154,0.0006656819,0.0003962726,0.00036066584,0.0002620449,0.0053206184],"category_scores_gemma":[0.00027763777,0.0005468389,0.00026330494,0.00045582303,0.0010599692,0.00076933793,0.00021576042,0.00020838948,0.0010102828],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032922173,0.0003822962,0.7460698,0.00067031546,0.00041867152,0.00013505653,0.0063104955,0.0005706608,0.00015582172,0.068032086,0.0022221399,0.17499971],"study_design_scores_gemma":[0.0018934436,0.00021377999,0.34575233,0.00060712604,0.00011046895,0.00020195743,0.0047701127,0.00693538,0.0041789426,0.17371465,0.45938206,0.00223973],"about_ca_topic_score_codex":0.016922811,"about_ca_topic_score_gemma":0.280737,"teacher_disagreement_score":0.45715994,"about_ca_system_score_codex":0.00095501385,"about_ca_system_score_gemma":0.00012049861,"threshold_uncertainty_score":0.99976754},"labels":[],"label_agreement":null},{"id":"W3162388378","doi":"10.1111/1468-0106.12360","title":"Financial conditions, local competition, and local market leaders: The case of real estate developers","year":2021,"lang":"en","type":"preprint","venue":"Pacific Economic Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Taiwan University; Japan Society for the Promotion of Science; Ministry of Technology, Innovation and Citizens' Services; Osaka University","keywords":"Competitor analysis; Real estate; Profitability index; Business; Market share; Market liquidity; Competition (biology); Pace; Finance; Industrial organization; Economics; Marketing","score_opus":0.03790031256877812,"score_gpt":0.25241023858555106,"score_spread":0.21450992601677293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162388378","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18198054,0.0978877,0.008696863,0.005652044,0.0046376404,0.0030508318,0.0039083418,0.00013736119,0.6940487],"genre_scores_gemma":[0.4428848,0.5556923,0.00037685395,0.0002615445,0.00012481361,0.000113728296,0.0002997525,0.00005222304,0.00019394878],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99631625,0.00015257669,0.002082932,0.0009981068,0.000024001816,0.00042613433],"domain_scores_gemma":[0.99731934,0.0002443636,0.0012731863,0.00096832187,0.0000620794,0.00013270896],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021841144,0.0004828937,0.0017773724,0.00016453912,0.00022127437,0.00016878256,0.00039697063,0.00032630606,0.0019832773],"category_scores_gemma":[0.00011980688,0.00051102374,0.00040260807,0.00010555269,0.00096154417,0.00020530372,0.000430767,0.0006009233,0.0002125796],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016289325,0.0004433121,0.011041096,0.044639673,0.0016857273,0.0012936132,0.0067615476,0.0033385546,0.0000012563551,0.18818821,0.12712651,0.61531764],"study_design_scores_gemma":[0.0027887963,0.0002024441,0.0053184135,0.013483769,0.000777896,0.004688803,0.020554226,0.040108535,0.000025981908,0.040001422,0.8666874,0.005362298],"about_ca_topic_score_codex":0.001648406,"about_ca_topic_score_gemma":0.0012543804,"teacher_disagreement_score":0.7395609,"about_ca_system_score_codex":0.0004520291,"about_ca_system_score_gemma":0.00042333326,"threshold_uncertainty_score":0.99973416},"labels":[],"label_agreement":null},{"id":"W3163381050","doi":"","title":"Political Risk Affects Real Estate Markets","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Real estate; Referendum; Brexit; Politics; Rest (music); Economics; Business; Financial economics; Political science; Finance; Economic policy; Law; European union","score_opus":0.006951526775963908,"score_gpt":0.1972772049672377,"score_spread":0.19032567819127377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163381050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63002956,0.00016498633,0.00050752395,0.00028843968,0.0005663243,0.000092160386,0.000012031124,0.000029919462,0.36830908],"genre_scores_gemma":[0.9767944,0.019940795,0.00010831426,0.00007520253,0.0003395302,0.0000027345916,0.000004891333,0.00005086812,0.0026832628],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9960125,0.000053776384,0.00047617685,0.00035326474,0.00004201571,0.0030622303],"domain_scores_gemma":[0.99900776,0.00010055283,0.00038122636,0.00029611302,0.000019566733,0.00019476646],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0031787052,0.0001976592,0.000408547,0.00022235188,0.00016225898,0.0001359871,0.00030526053,0.00013143865,0.00036545334],"category_scores_gemma":[0.00009923004,0.00022257237,0.00021010016,0.00012502946,0.000041581854,0.0003079462,0.000053816602,0.0015156227,0.0021241773],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007661702,0.000043795073,0.18916065,0.0000079443125,0.00011443787,0.0000032827036,0.000058535028,0.000019688074,0.0000047002854,0.7926226,0.0001337179,0.017754003],"study_design_scores_gemma":[0.0016307593,0.00036668783,0.035865013,0.00001355154,0.000020766618,0.0002599697,0.000541998,0.0026204044,0.000014309239,0.93212724,0.025982955,0.0005563624],"about_ca_topic_score_codex":0.00034350276,"about_ca_topic_score_gemma":0.0003211971,"teacher_disagreement_score":0.36562583,"about_ca_system_score_codex":0.0013727763,"about_ca_system_score_gemma":0.0004417845,"threshold_uncertainty_score":0.99865276},"labels":[],"label_agreement":null},{"id":"W3163890950","doi":"10.34989/san-2021-9","title":"Detecting exuberance in house prices across Canadian cities","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"House price; Economics; Financial economics; Macroeconomics; Monetary economics","score_opus":0.03625834887669921,"score_gpt":0.24811037234903555,"score_spread":0.21185202347233634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163890950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9706443,0.00037891092,0.0004834633,0.0005576506,0.00022792416,0.000052656767,0.00007641086,0.000038714777,0.027539985],"genre_scores_gemma":[0.99834573,0.0001528075,0.0010128852,0.0001728886,0.000106023064,0.0000032886837,0.000004145998,0.000034269295,0.00016793785],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99844795,0.000012017456,0.0004918041,0.00040898385,0.000024418678,0.0006148192],"domain_scores_gemma":[0.9992418,0.00017562482,0.00009484517,0.00026491936,0.000030234816,0.0001925764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041863264,0.00014340985,0.00038812993,0.00016885629,0.00015837055,0.00020042475,0.0001552687,0.00011826325,0.00035501993],"category_scores_gemma":[0.00065413583,0.0001859698,0.0000974564,0.00037905178,0.00008753103,0.00021337593,0.000056733006,0.00019673021,0.00022092565],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002398584,0.00013198449,0.92533386,0.00008053712,0.00008466351,0.00020416996,0.0026567033,0.0040522562,0.000020667992,0.060790487,0.00010101704,0.00651964],"study_design_scores_gemma":[0.0028555735,0.000206698,0.22586334,0.00018065007,0.0000392314,0.00007412129,0.006796261,0.55611426,0.0010540894,0.13752775,0.06610903,0.003179004],"about_ca_topic_score_codex":0.047418784,"about_ca_topic_score_gemma":0.28771475,"teacher_disagreement_score":0.6994705,"about_ca_system_score_codex":0.00028495173,"about_ca_system_score_gemma":0.00012298368,"threshold_uncertainty_score":0.95892453},"labels":[],"label_agreement":null},{"id":"W3165466853","doi":"10.2139/ssrn.3849199","title":"Real Estate and Rental Markets During COVID Times","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Renting; Real estate; Business; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Finance; Virology; Medicine; Internal medicine; Political science; Outbreak","score_opus":0.00851416464698242,"score_gpt":0.19777001907344746,"score_spread":0.18925585442646503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165466853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8899345,0.0011339893,0.00017434462,0.000568243,0.0002608175,0.000037003494,0.000010624696,0.000023261238,0.107857235],"genre_scores_gemma":[0.8751397,0.12059308,0.00014166546,0.00003801607,0.00019348417,0.0000016580034,0.0000069029497,0.000028780383,0.0038566838],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979241,0.000026780775,0.00042192955,0.0002969992,0.000025567922,0.0013046183],"domain_scores_gemma":[0.99944645,0.000031229523,0.00021895628,0.00015553339,0.000018869496,0.00012893724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011888387,0.00013694937,0.0002750042,0.00012178204,0.00029436735,0.00016084171,0.000119720324,0.00007254661,0.000325596],"category_scores_gemma":[0.00007291415,0.00016871635,0.000095201714,0.000097580756,0.000042714346,0.00026144242,0.0000703798,0.000698322,0.00010441763],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048418567,0.00025628723,0.36961985,0.00010017691,0.00082727853,0.0002184939,0.0015924645,0.00010298191,0.00054580695,0.525306,0.0006126595,0.10033386],"study_design_scores_gemma":[0.0046138475,0.00022453969,0.081974536,0.000041306022,0.000044137283,0.005816006,0.0032577151,0.0019163047,0.00036752314,0.85872984,0.041785143,0.0012291085],"about_ca_topic_score_codex":0.000103861865,"about_ca_topic_score_gemma":0.0005141123,"teacher_disagreement_score":0.33342385,"about_ca_system_score_codex":0.0007367354,"about_ca_system_score_gemma":0.0004517689,"threshold_uncertainty_score":0.6880053},"labels":[],"label_agreement":null},{"id":"W3165669039","doi":"10.3917/fina.421.0111","title":"Why is there a Home Bias? An Analysis of US REITs Geographic Concentration","year":2021,"lang":"fr","type":"article","venue":"Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec","funders":"","keywords":"Welfare economics; Political science; Economics; Humanities; Philosophy","score_opus":0.02983619493952771,"score_gpt":0.2172672585089119,"score_spread":0.1874310635693842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165669039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95002455,0.032214854,0.00086473394,0.002476787,0.0016007465,0.00011888245,0.0011532232,0.00001989092,0.011526359],"genre_scores_gemma":[0.9493829,0.04455936,0.0010187465,0.0013529332,0.00015841374,0.000010203852,0.0002124211,0.000037721038,0.0032673248],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975443,0.000073430994,0.0010505408,0.0007783557,0.000051785224,0.00050157757],"domain_scores_gemma":[0.99792963,0.00008703135,0.0008977749,0.0008501698,0.00014906844,0.00008629405],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00050356775,0.00026065894,0.001015738,0.00032995097,0.00013445289,0.00015585287,0.00028989173,0.00033042236,0.0027410393],"category_scores_gemma":[0.00009360497,0.0003880453,0.0005051483,0.001890195,0.00019107632,0.00060075236,0.000068227215,0.00021546632,0.00011838077],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003560318,0.00034973718,0.933615,0.0001322415,0.0008315251,0.000029209008,0.0010453569,0.0046121776,0.000013282843,0.041357066,0.0029940137,0.014984776],"study_design_scores_gemma":[0.00045098027,0.000090101224,0.5264498,0.00009188339,0.00030028474,0.0000038077048,0.0000796519,0.08472115,0.00024051429,0.0030952438,0.38402224,0.00045431888],"about_ca_topic_score_codex":0.0016856303,"about_ca_topic_score_gemma":0.0024790543,"teacher_disagreement_score":0.4071652,"about_ca_system_score_codex":0.00011778808,"about_ca_system_score_gemma":0.00009137665,"threshold_uncertainty_score":0.9998571},"labels":[],"label_agreement":null},{"id":"W3165894318","doi":"10.3390/jrfm14060244","title":"Information Spillover Effects of Real Estate Markets: Evidence from Ten Metropolitan Cities in China","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; Spillover effect; Business; Metropolitan area; China; The Internet; Industrial organization; Economics; Finance; Computer science; Geography; Microeconomics; World Wide Web","score_opus":0.006592773101138484,"score_gpt":0.1904770828150909,"score_spread":0.18388430971395242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165894318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97036546,0.0009890283,0.00401933,0.00006222599,0.0005533946,0.00008156459,0.000033177712,0.0000031387885,0.02389267],"genre_scores_gemma":[0.89328617,0.104651034,0.001904468,0.00003115713,0.00007713579,0.0000017008948,0.000002875205,0.0000061896226,0.000039250852],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99885076,0.000030130208,0.00081741344,0.00010075447,0.00004687583,0.00015405733],"domain_scores_gemma":[0.99894136,0.00011894013,0.0007258618,0.00013258177,0.000034843528,0.000046426256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006953379,0.000103288774,0.00041216938,0.0003387616,0.000040194147,0.000060227187,0.00011237465,0.000054524982,0.000031863714],"category_scores_gemma":[0.00037498842,0.00011094704,0.00009579926,0.00018340233,0.000037430204,0.00071357406,0.00008519283,0.00013936163,0.000007528109],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031989385,0.00009435497,0.6782744,0.00036905173,0.000072024006,0.000080352256,0.0036198397,0.00011767627,0.0000045600605,0.018432982,0.00048586863,0.29812896],"study_design_scores_gemma":[0.00087691087,0.00008073628,0.9652215,0.00022617818,0.000029875235,0.0000030303102,0.0005498443,0.00024824686,0.000054077158,0.019486325,0.013090705,0.00013252224],"about_ca_topic_score_codex":0.0012904095,"about_ca_topic_score_gemma":0.00014169526,"teacher_disagreement_score":0.29799646,"about_ca_system_score_codex":0.00013650807,"about_ca_system_score_gemma":0.00002367843,"threshold_uncertainty_score":0.4524289},"labels":[],"label_agreement":null},{"id":"W3166786448","doi":"10.3390/jrfm14060240","title":"Homeownership for All: An American Narrative","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Narrative; Great recession; Recession; Economics; Vector autoregression; Sociology; Psychology; Demographic economics; Monetary economics; Macroeconomics; Labour economics; Linguistics","score_opus":0.02217597759395691,"score_gpt":0.22910791965483476,"score_spread":0.20693194206087784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166786448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93698925,0.00097225,0.05209749,0.00051303057,0.0009021574,0.00014395325,0.00005403138,0.000009749219,0.008318117],"genre_scores_gemma":[0.98269296,0.0058342097,0.010586612,0.0003331922,0.0003348105,0.0000050197827,0.0000050333006,0.0000159925,0.00019216364],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990881,0.00001823794,0.0004920781,0.00018920386,0.000024107298,0.0001882403],"domain_scores_gemma":[0.999092,0.000041707084,0.0005907808,0.00012812759,0.00005301364,0.00009436788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006841016,0.00010130891,0.00038238015,0.0001629213,0.000109781795,0.00008629421,0.0001112234,0.000035713732,0.000028035169],"category_scores_gemma":[0.00011254473,0.000108850814,0.00012334934,0.0001261203,0.000050678093,0.00021236687,0.00003817091,0.00011188512,0.000005953461],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000441689,0.0003523476,0.04941228,0.00009272717,0.00017302073,0.00009398893,0.009115047,0.00017583171,0.000005382606,0.23789962,0.0034258382,0.69881225],"study_design_scores_gemma":[0.0017695533,0.000574642,0.08503834,0.000027448736,0.00006768045,0.000021644662,0.0049144337,0.00045371678,0.000024973922,0.13482153,0.7719194,0.00036657797],"about_ca_topic_score_codex":0.000024803583,"about_ca_topic_score_gemma":0.00007013274,"teacher_disagreement_score":0.7684936,"about_ca_system_score_codex":0.000053559706,"about_ca_system_score_gemma":0.00001885101,"threshold_uncertainty_score":0.44388074},"labels":[],"label_agreement":null},{"id":"W3167074810","doi":"10.33564/ijeast.2021.v05i09.001","title":"A DESCRIPTIVE EXAMINATION OF THE IMPACT OF CANADIAN MORTGAGE STRESS TEST IN LENDING, BORROWING AND AFFORDABILITY","year":2021,"lang":"en","type":"article","venue":"International Journal of Engineering Applied Sciences and Technology","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mortgage underwriting; Debt; Loan; Business; Secondary mortgage market; Shared appreciation mortgage; Stress test; Payment; Mortgage insurance; Equity (law); Purchasing power; Loan-to-value ratio; Test (biology); Default; Finance; Economics","score_opus":0.016358572038621903,"score_gpt":0.21191297075442128,"score_spread":0.19555439871579938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3167074810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99731874,0.00015483738,0.0002020392,0.00018611173,0.00012598964,0.000022953685,0.00001854997,0.0000016549848,0.0019691414],"genre_scores_gemma":[0.99919236,0.00013260182,0.0006565056,0.0000019535782,0.000011177264,6.334235e-7,2.5416787e-7,0.0000023226248,0.0000022019115],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995272,0.000002350212,0.00028283987,0.000082066785,0.000025430734,0.00008006877],"domain_scores_gemma":[0.9996406,0.00004846789,0.00019585852,0.000045727462,0.00004827893,0.000021104983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046171393,0.000042885007,0.00014156125,0.00075697375,0.000020333004,0.000018988982,0.00016103,0.000043351974,0.0000068640684],"category_scores_gemma":[0.00023882261,0.000037885675,0.0000262604,0.00036158253,0.00010596975,0.00008392197,0.000042873053,0.00009431941,6.6551394e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033990955,0.000041715604,0.9120738,0.00001322005,0.00003834558,0.0000052324294,0.000540306,0.0070290663,0.004488009,0.07090616,0.0000031890313,0.004857568],"study_design_scores_gemma":[0.0004536809,0.000093385366,0.95333654,0.00010103847,0.0000040513,0.000066502864,0.00096453493,0.025957208,0.0080685355,0.010737006,0.00009967447,0.00011782152],"about_ca_topic_score_codex":0.0015462944,"about_ca_topic_score_gemma":0.0015018869,"teacher_disagreement_score":0.060169153,"about_ca_system_score_codex":0.000091462076,"about_ca_system_score_gemma":0.000062771185,"threshold_uncertainty_score":0.23375449},"labels":[],"label_agreement":null},{"id":"W3168911275","doi":"","title":"What We Should Know About Housing Reconstruction Costs","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Quantile; Econometrics; Skewness; Quantile regression; Statistics; Mathematics; Economics","score_opus":0.016993598892435537,"score_gpt":0.218532129137955,"score_spread":0.20153853024551946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168911275","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9029341,0.023564173,0.0025756264,0.0020123192,0.006822296,0.00022920598,0.0000057724274,0.000072255505,0.0617843],"genre_scores_gemma":[0.83040404,0.16464119,0.0001549223,0.00015577945,0.0005332496,0.0000028293202,0.0000037293435,0.00005522535,0.0040490613],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970459,0.00002694995,0.00066987594,0.0003791349,0.00004325435,0.0018349027],"domain_scores_gemma":[0.9990155,0.000041156658,0.0005210801,0.00028248547,0.000037076974,0.00010267431],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021165665,0.00020826633,0.00042126322,0.00031342477,0.00021284555,0.0005063459,0.00027878207,0.00018047652,0.0007445667],"category_scores_gemma":[0.00003867299,0.00024547038,0.00020437784,0.00018037762,0.00004302809,0.0014940511,0.000043092412,0.0014249986,0.0016385707],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007445465,0.0000517582,0.054163042,0.000017217211,0.00018325182,0.00000194858,0.00022034968,0.0002024987,0.00003608028,0.30578098,0.00015862056,0.6391098],"study_design_scores_gemma":[0.0023001106,0.0003829485,0.0018998682,0.00032679536,0.00002864745,0.001062848,0.00446423,0.005144883,0.00005930831,0.8318758,0.15137501,0.0010795402],"about_ca_topic_score_codex":0.00007488983,"about_ca_topic_score_gemma":0.00052667566,"teacher_disagreement_score":0.63803023,"about_ca_system_score_codex":0.0022868281,"about_ca_system_score_gemma":0.00040712257,"threshold_uncertainty_score":0.99999976},"labels":[],"label_agreement":null},{"id":"W3169252391","doi":"","title":"Real Estate and Rental Markets during Covid Times","year":2021,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Economic rent; Real estate; Economics; Renting; Welfare; Financial crisis; Work (physics); General equilibrium theory; Monetary economics; Financial market; Finance; Microeconomics; Macroeconomics; Market economy","score_opus":0.012235300302581433,"score_gpt":0.19452941951074612,"score_spread":0.18229411920816468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169252391","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5966832,0.00019177535,0.00088150526,0.0021537824,0.00008296596,0.0000520106,0.000031748914,0.000054166565,0.39986882],"genre_scores_gemma":[0.9709153,0.008611567,0.007412494,0.000050953055,0.000017456152,0.000008581476,0.000092688344,0.000029792738,0.012861144],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9985089,0.00037724257,0.00038150031,0.00045389723,0.000032794997,0.00024569596],"domain_scores_gemma":[0.9985515,0.00032888254,0.00021519027,0.00061113643,0.00014887721,0.00014440423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020579516,0.00013005108,0.00023624432,0.00010124581,0.00030571496,0.00025974558,0.00021151948,0.00007689354,0.0006240157],"category_scores_gemma":[0.0005730831,0.00017443464,0.00007654059,0.00016890773,0.0001072852,0.00019895815,0.00025654226,0.0001285008,0.000112140646],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000090855894,0.00082884263,0.36245868,0.00033278327,0.00021525177,0.000078442514,0.020557342,0.000033936034,0.003563121,0.4772932,0.002379533,0.13216802],"study_design_scores_gemma":[0.005645002,0.0000016821253,0.5582079,0.0007279772,0.000051685747,0.00026465577,0.0013396321,0.044261526,0.05684466,0.04562191,0.28468016,0.0023531597],"about_ca_topic_score_codex":0.0005915924,"about_ca_topic_score_gemma":0.0007866057,"teacher_disagreement_score":0.4316713,"about_ca_system_score_codex":0.000087714674,"about_ca_system_score_gemma":0.00005223485,"threshold_uncertainty_score":0.7113238},"labels":[],"label_agreement":null},{"id":"W3169692822","doi":"10.1111/pirs.12623","title":"Real options, housing price risk, and urban sprawl: A case study of the Toronto census metropolitan area using remotely sensed data, 1986–2016","year":2021,"lang":"en","type":"article","venue":"Papers of the Regional Science Association","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Urban sprawl; Metropolitan area; Census; Land use; Urban planning; Geography; Business; Environmental health; Population","score_opus":0.05639296391376606,"score_gpt":0.26528863588277324,"score_spread":0.20889567196900719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169692822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99365103,0.00033110986,0.000010785846,0.00037217565,0.0003004754,0.00017215264,0.000095064606,0.0000071082204,0.005060071],"genre_scores_gemma":[0.99834114,0.00066836126,0.000781364,0.00003196616,0.000056211422,8.17263e-7,0.0000028162708,0.000009110644,0.00010821709],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867046,0.000116760326,0.00044853642,0.000383151,0.00015107813,0.00023002522],"domain_scores_gemma":[0.9978694,0.00021580231,0.0011393104,0.0006121551,0.00011372309,0.000049659808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022115812,0.000098652745,0.000249397,0.00005343333,0.0006467238,0.000073694384,0.00038799024,0.000059743626,0.0000069187654],"category_scores_gemma":[0.0010932069,0.00008106199,0.00007572154,0.00044454882,0.00017226324,0.00039657796,0.00032897483,0.00010173251,5.5239184e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022182849,0.000280683,0.98807067,0.000017787279,0.00012046862,0.0000073931933,0.0030466472,0.000529011,0.0017885818,0.0048330347,0.0003022296,0.0009813056],"study_design_scores_gemma":[0.0017792006,0.00010565287,0.892581,0.00011654307,0.00024211104,0.00016328294,0.04518487,0.05268571,0.00030595844,0.0034546824,0.0027590354,0.00062197563],"about_ca_topic_score_codex":0.027651407,"about_ca_topic_score_gemma":0.0063642166,"teacher_disagreement_score":0.0954897,"about_ca_system_score_codex":0.0016832362,"about_ca_system_score_gemma":0.00018512101,"threshold_uncertainty_score":0.97882354},"labels":[],"label_agreement":null},{"id":"W3170616068","doi":"10.3390/jrfm14060262","title":"Book Review “Cultural Finance: A World Map of Risk, Time and Money” by Thorsten Hens, Marc Oliver Rieger, and Mei Wang. Singapore: World Scientific Publishing Co. Pte. Ltd., 2020; ISBN 9789811221958","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Publishing; Point (geometry); Economics; Finance; History; Art; Literature","score_opus":0.009729598662641756,"score_gpt":0.20133611578455465,"score_spread":0.1916065171219129,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170616068","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14520657,0.8381393,0.0004242501,0.0032127812,0.0012611039,0.00046105107,0.0006903423,0.000018560744,0.010586069],"genre_scores_gemma":[0.045768566,0.91646874,0.0042102025,0.0020208794,0.0004652714,0.00000983006,0.00008644306,0.000060852235,0.030909192],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975323,0.00008084659,0.0013422683,0.00052550173,0.00013076676,0.00038833357],"domain_scores_gemma":[0.99764025,0.00011940064,0.0016338857,0.00029445475,0.00014834091,0.00016366057],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025639634,0.00028001738,0.0010016859,0.0004157904,0.00038624607,0.0007047325,0.00023838517,0.00009168223,0.0003243287],"category_scores_gemma":[0.00030801003,0.000283715,0.00018434259,0.0005293717,0.00023421443,0.0011943065,0.00027573976,0.00048775057,0.000024700777],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000110861096,0.00013285273,0.015827727,0.0006209563,0.00010856867,0.00007843337,0.0005215163,0.000013081292,0.000007923166,0.0018565574,0.88914645,0.09157508],"study_design_scores_gemma":[0.0010637373,0.000052413077,0.015174132,0.0007255089,0.00015095637,0.00002226157,0.000081498285,0.00020148676,0.000021653388,0.0028739912,0.97929615,0.0003361909],"about_ca_topic_score_codex":0.00007916216,"about_ca_topic_score_gemma":0.00010214467,"teacher_disagreement_score":0.099438004,"about_ca_system_score_codex":0.00009612502,"about_ca_system_score_gemma":0.000043686745,"threshold_uncertainty_score":0.9999615},"labels":[],"label_agreement":null},{"id":"W3171736411","doi":"10.1080/10511482.2021.1909241","title":"Build Back Boldly","year":2021,"lang":"en","type":"article","venue":"Housing Policy Debate","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Intermediary; Renting; Rental housing; State (computer science); Business; Public administration; State policy; Economic growth; Economics; Public policy; Political science; Finance; Law","score_opus":0.034272564176664994,"score_gpt":0.24083065940977902,"score_spread":0.20655809523311403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171736411","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31813654,0.000598247,0.0016879987,0.0039179455,0.0009259045,0.00008589766,0.00005963135,0.00013310822,0.6744547],"genre_scores_gemma":[0.9832231,0.00084727124,0.003474395,0.003114357,0.00090719573,0.0000052945406,0.000024640458,0.000093352144,0.008310401],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99837554,0.000018792496,0.00055434706,0.00047965473,0.00002547736,0.0005461973],"domain_scores_gemma":[0.99904037,0.000040977127,0.00021601899,0.0005203662,0.00003416015,0.00014809765],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00030127712,0.00019626881,0.00042012235,0.00024849008,0.00016572341,0.00024240589,0.00019570271,0.0001314022,0.0009718752],"category_scores_gemma":[0.00018225322,0.00026233526,0.00016606563,0.00041859632,0.000061744344,0.00022660565,0.00012561606,0.00015490763,0.004930095],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000076742435,0.00048242105,0.16730183,0.00025733293,0.00033706395,0.00025689875,0.00209838,0.0019449386,0.0008865226,0.74433386,0.03894865,0.043075375],"study_design_scores_gemma":[0.00089293014,0.000028370747,0.007499808,0.000040563416,0.000009624982,0.000067482404,0.000046645233,0.0033383295,0.001394399,0.06711904,0.9188105,0.00075232034],"about_ca_topic_score_codex":0.000771244,"about_ca_topic_score_gemma":0.00014915537,"teacher_disagreement_score":0.87986183,"about_ca_system_score_codex":0.00020228182,"about_ca_system_score_gemma":0.00012113875,"threshold_uncertainty_score":0.9999829},"labels":[],"label_agreement":null},{"id":"W3172568301","doi":"10.1080/08965803.2021.1925498","title":"House Prices, Open Space, and Household Characteristics","year":2021,"lang":"en","type":"article","venue":"Journal of Real Estate Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Space (punctuation); Capitalization; Private space; Willingness to pay; Value (mathematics); Subdivision; Economics; Business; Public economics; Microeconomics; Marketing; Computer science; Statistics; Geography; Mathematics","score_opus":0.15143520266996027,"score_gpt":0.33207840347868756,"score_spread":0.18064320080872728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3172568301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83010334,0.00025900913,0.00008812923,0.0013172058,0.00027614602,0.00010199853,0.000043429656,0.000009688737,0.16780104],"genre_scores_gemma":[0.83699876,0.1582531,0.0029651932,0.00005267418,0.00032476475,0.000002928123,0.0000042669676,0.00006896017,0.0013293629],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99850035,0.00006594531,0.00071751146,0.00023568669,0.000088220695,0.00039231466],"domain_scores_gemma":[0.9985833,0.00022387867,0.00046250637,0.0002652426,0.0002184949,0.0002465628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003807489,0.00010356145,0.00049772824,0.0003326901,0.00015664025,0.0006654452,0.00041475703,0.000087554705,0.000091849215],"category_scores_gemma":[0.00043347295,0.0001107639,0.00006949328,0.0003092783,0.0001048675,0.00051259925,0.00038982555,0.00053528073,0.00006131511],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010569189,0.0011525257,0.47099748,0.00061580515,0.0005636624,0.0034895102,0.004603157,0.000115602146,0.0007822947,0.121039614,0.030425712,0.3651577],"study_design_scores_gemma":[0.0030694823,0.00070958864,0.17681035,0.00020449453,0.000020773785,0.0007852931,0.0011052986,0.0013510427,0.00044472262,0.0368709,0.7779798,0.0006482413],"about_ca_topic_score_codex":0.00039848185,"about_ca_topic_score_gemma":0.00006228678,"teacher_disagreement_score":0.74755406,"about_ca_system_score_codex":0.00015985298,"about_ca_system_score_gemma":0.00024447145,"threshold_uncertainty_score":0.6416903},"labels":[],"label_agreement":null},{"id":"W3172742068","doi":"10.2139/ssrn.3853175","title":"Green Urban Development: The Impact Investment Strategy of Canadian Pension Funds","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Global assets under management; Business; Pension; Real estate; Passive management; Finance; Diversification (marketing strategy); Fund of funds; Investment strategy; Closed-end fund; Institutional investor; Net asset value; Portfolio; Asset management; Corporate governance","score_opus":0.027330021799677594,"score_gpt":0.2125465940834236,"score_spread":0.18521657228374602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3172742068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9128893,0.0055239676,0.00015324997,0.00088731,0.00020826608,0.00007746491,0.0000141526625,0.000007244891,0.08023904],"genre_scores_gemma":[0.99391544,0.0038812722,0.000057206744,0.0001518029,0.00012839987,0.0000017212299,0.0000126633795,0.000021355996,0.0018301519],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978936,0.000027074706,0.0005226974,0.00018478258,0.0000320626,0.0013398111],"domain_scores_gemma":[0.9992732,0.00002181006,0.0002904853,0.00021338751,0.000043159802,0.00015795584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015503288,0.00013404684,0.00026281862,0.0003385779,0.00025685623,0.00008136378,0.00023712388,0.000076556695,0.00032602556],"category_scores_gemma":[0.000031203836,0.000117456184,0.00013524982,0.00029622397,0.00003554565,0.00014745389,0.000031549644,0.00066052837,0.00010661158],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045963337,0.00012379728,0.112036265,0.00001720778,0.00079943595,0.000020659583,0.001891425,0.0008285118,0.00006103611,0.8383404,0.0021391842,0.043696128],"study_design_scores_gemma":[0.0014451101,0.00031635852,0.11327594,0.000034164113,0.00002918683,0.0006339826,0.0025518113,0.0015139013,0.00033587695,0.7460823,0.13303876,0.0007426356],"about_ca_topic_score_codex":0.04731051,"about_ca_topic_score_gemma":0.29631963,"teacher_disagreement_score":0.24900912,"about_ca_system_score_codex":0.0015911051,"about_ca_system_score_gemma":0.00454973,"threshold_uncertainty_score":0.95903355},"labels":[],"label_agreement":null},{"id":"W3174830082","doi":"10.2139/ssrn.3860178","title":"Public Environmental Enforcement and Private Lender Monitoring: Evidence from Environmental Covenants","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Enforcement; Covenant; Business; Environmental regulation; Finance; Public economics; Economics; Political science; Law","score_opus":0.03998639790021858,"score_gpt":0.20568263583208618,"score_spread":0.1656962379318676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174830082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9759672,0.01902572,0.0020450181,0.00046924312,0.0004998279,0.00007868073,0.000040597446,0.000014605723,0.0018590611],"genre_scores_gemma":[0.90169406,0.09698657,0.00021144771,0.000058433616,0.0003119722,0.0000047901412,0.000017043005,0.00003287313,0.0006828196],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99740815,0.00003338474,0.0005568483,0.0004519784,0.00006983975,0.0014798114],"domain_scores_gemma":[0.99919885,0.0000555959,0.000317548,0.00026143857,0.0000034760994,0.0001630586],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00095759874,0.00020944317,0.00031676126,0.000096499316,0.0002734395,0.00022643938,0.00022452604,0.000103095685,0.00072920806],"category_scores_gemma":[0.000051602183,0.00024895236,0.00011502181,0.000051935567,0.00007132317,0.0006606768,0.00016701632,0.0007970242,0.00025907104],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004643166,0.0001794137,0.918836,0.000006394881,0.0003901398,0.000021114794,0.00046018328,0.000039157494,0.0017797078,0.044880196,0.000032659373,0.033328615],"study_design_scores_gemma":[0.004208303,0.00054149923,0.21147048,0.00012545803,0.00009154065,0.0008091606,0.004482654,0.001910287,0.0035540336,0.6997191,0.07117798,0.0019094985],"about_ca_topic_score_codex":0.000044804412,"about_ca_topic_score_gemma":0.0000317652,"teacher_disagreement_score":0.7073655,"about_ca_system_score_codex":0.001662408,"about_ca_system_score_gemma":0.000205521,"threshold_uncertainty_score":0.99999624},"labels":[],"label_agreement":null},{"id":"W3175656796","doi":"10.5585/exactaep.2021.17173","title":"Avaliação financeira de um projeto de casa inteligente para uma residência no Ceará","year":2021,"lang":"pt","type":"article","venue":"Exacta","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Business","score_opus":0.04998099622897054,"score_gpt":0.2581024275592868,"score_spread":0.20812143133031627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175656796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.865454,0.0037234498,0.0013145426,0.0018714246,0.003121002,0.00037190318,0.00036042946,0.00009877112,0.123684466],"genre_scores_gemma":[0.90621614,0.0093934955,0.0029875229,0.0014052221,0.0011599284,0.000047655434,0.00009383693,0.00017772889,0.07851849],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99590206,0.00012869158,0.0012860043,0.0011525508,0.00006955162,0.0014611328],"domain_scores_gemma":[0.9974793,0.00017126591,0.00064991065,0.001182608,0.00013730036,0.0003795958],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0016695119,0.0005194273,0.0010026764,0.00027640283,0.0003483049,0.0004943472,0.0006153087,0.0005613358,0.0034034618],"category_scores_gemma":[0.0009742777,0.0007391124,0.00043727556,0.00045234518,0.000115779934,0.0003977676,0.0003576488,0.0007315802,0.0062804525],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008823843,0.0017308517,0.6690636,0.001443035,0.0010314112,0.0024214913,0.013635176,0.00061410223,0.00088627636,0.024541127,0.23350376,0.050246734],"study_design_scores_gemma":[0.0015882405,0.00023667369,0.111090325,0.00035024062,0.000076557364,0.00024527378,0.00069758075,0.026302313,0.0015632364,0.005130767,0.85091084,0.001807947],"about_ca_topic_score_codex":0.0008335514,"about_ca_topic_score_gemma":0.0005712765,"teacher_disagreement_score":0.6174071,"about_ca_system_score_codex":0.0011395187,"about_ca_system_score_gemma":0.00082313985,"threshold_uncertainty_score":0.999506},"labels":[],"label_agreement":null},{"id":"W3177716232","doi":"10.1177/21582440211031502","title":"Financing Constraints and Investment Efficiency in Canadian Real Estate and Construction Firms: A Stochastic Frontier Analysis","year":2021,"lang":"en","type":"article","venue":"SAGE Open","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Department of Science and Technology of Sichuan Province; National Natural Science Foundation of China","keywords":"Finance; Real estate; Investment (military); Cash flow; Internal financing; Real estate investment trust; Capitalization rate; Equity (law); Debt; Business; Stochastic frontier analysis; Economics; Macroeconomics","score_opus":0.016038589372887803,"score_gpt":0.21578124265909032,"score_spread":0.19974265328620253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177716232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8934918,0.00023214507,0.000983238,0.0001902372,0.00013199357,0.00018120151,0.00009115316,0.0000050708154,0.10469316],"genre_scores_gemma":[0.9966346,0.00088663195,0.0020931195,0.00013897412,0.00001157613,0.000011189816,0.000023295945,0.0000094378065,0.000191182],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989693,0.00001763331,0.00033621458,0.00038088023,0.000012434988,0.0002835271],"domain_scores_gemma":[0.999526,0.000029807274,0.00010934066,0.00016430688,0.000010507122,0.00016000993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005015306,0.00010123402,0.00035687198,0.00030808098,0.00011040946,0.00024381399,0.0000920076,0.00006142513,0.00022800393],"category_scores_gemma":[0.00008007687,0.00013237268,0.000029843997,0.00032416199,0.00012341136,0.00020672886,0.00009632954,0.00008389235,0.00001295624],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020939244,0.000045525034,0.863772,0.000031717926,0.00021417222,0.00009649721,0.0033965462,0.001203955,0.000005954844,0.023766743,0.00007034805,0.10737564],"study_design_scores_gemma":[0.0034533797,0.000091723035,0.8414648,0.00012550937,0.00016567709,0.000077984696,0.0037546512,0.10557194,0.000021470789,0.036233243,0.007848136,0.0011914886],"about_ca_topic_score_codex":0.19141376,"about_ca_topic_score_gemma":0.49527332,"teacher_disagreement_score":0.30385956,"about_ca_system_score_codex":0.00019922854,"about_ca_system_score_gemma":0.00017165899,"threshold_uncertainty_score":0.8139707},"labels":[],"label_agreement":null},{"id":"W3179119308","doi":"10.15353/rea.v13i3.1823","title":"Real Estate Bubbles and Contagion: Evidence from Selected European Countries","year":2021,"lang":"en","type":"article","venue":"Review of Economic Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Gouvernement du Québec; Université Laval","funders":"University of Auckland","keywords":"Real estate; Economics; Finance","score_opus":0.02776808055579249,"score_gpt":0.24224738509639862,"score_spread":0.21447930454060612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3179119308","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77513754,0.124092154,0.0006385359,0.0013541866,0.00021810982,0.00018685032,0.0004436787,0.000049124028,0.09787981],"genre_scores_gemma":[0.29913166,0.6996591,0.00064461527,0.00017997678,0.000067103436,0.0000039214815,0.00011310197,0.000019261015,0.00018127188],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978341,0.000097521915,0.001246759,0.0005824084,0.000021269827,0.00021792861],"domain_scores_gemma":[0.9982181,0.00025025953,0.0008160414,0.0005348259,0.00007770258,0.00010306332],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011108873,0.00019468907,0.0013159035,0.00017716714,0.000073843934,0.00008908299,0.00020655432,0.00005082119,0.0020124342],"category_scores_gemma":[0.00021515432,0.00023387275,0.00031527283,0.00036502257,0.00009701469,0.0003073721,0.00010763749,0.00008656939,0.00038689736],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052285795,0.00008286763,0.94275045,0.0031260834,0.0058519,0.000044470286,0.0008375091,0.00047965714,0.00007206708,0.012898493,0.0034025814,0.030401632],"study_design_scores_gemma":[0.002476799,0.00020716157,0.5625251,0.009099102,0.0077607925,0.00004134291,0.00055001647,0.03540485,0.0009217244,0.0074892933,0.36979496,0.0037288612],"about_ca_topic_score_codex":0.0023439983,"about_ca_topic_score_gemma":0.00092102494,"teacher_disagreement_score":0.57556695,"about_ca_system_score_codex":0.00013812794,"about_ca_system_score_gemma":0.00008510133,"threshold_uncertainty_score":0.9988999},"labels":[],"label_agreement":null},{"id":"W3182639363","doi":"10.1016/j.jue.2021.103381","title":"JUE insight: Are city centers losing their appeal? Commercial real estate, urban spatial structure, and COVID-19","year":2021,"lang":"en","type":"article","venue":"Journal of Urban Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":168,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Real estate; Land Values; Transit (satellite); Business; Economic rent; Mile; Shock (circulatory); Property value; Economic geography; Geography; Economics; Finance; Public transport; Land use; Transport engineering; Market economy","score_opus":0.035748043289114656,"score_gpt":0.22073417120321837,"score_spread":0.1849861279141037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182639363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98116374,0.0004194602,0.0012483373,0.0012175939,0.0018132965,0.00011507175,0.0004599577,0.000019895237,0.013542667],"genre_scores_gemma":[0.98916334,0.0077679334,0.00066288403,0.0011395967,0.001072046,0.0000010180667,0.000035749264,0.00006166355,0.0000957656],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974748,0.00005914802,0.0015345296,0.00045317825,0.00003145148,0.0004469088],"domain_scores_gemma":[0.99696577,0.00013285667,0.0019507926,0.00036405708,0.000079307516,0.0005072059],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006693918,0.00033323574,0.0010467684,0.0003504438,0.00028600922,0.00035739227,0.00033175346,0.0002320748,0.00021865069],"category_scores_gemma":[0.00021392333,0.00038626473,0.00028329232,0.00012299434,0.00018215126,0.00061553734,0.00016402245,0.0004927016,0.000012536066],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024022273,0.00014858774,0.9747743,0.00009791771,0.00030306075,0.00008574872,0.0032519125,0.0016420931,0.00002186678,0.0039599114,0.006604226,0.008870129],"study_design_scores_gemma":[0.009098369,0.000474548,0.3840357,0.00014091391,0.0001382375,0.0010875717,0.002244234,0.01582866,0.00073199655,0.024194041,0.5597422,0.0022835156],"about_ca_topic_score_codex":0.0005191115,"about_ca_topic_score_gemma":0.0012746059,"teacher_disagreement_score":0.5907386,"about_ca_system_score_codex":0.0007521888,"about_ca_system_score_gemma":0.0003151221,"threshold_uncertainty_score":0.9998589},"labels":[],"label_agreement":null},{"id":"W3183515559","doi":"10.2495/str210171","title":"ROLE HISTORIC ASSETS CAN PLAY IN REVIVING THE RETAIL HIGH STREET: A CASE STUDY OF DERBY’S RETAIL HIGH STREET","year":2021,"lang":"en","type":"article","venue":"WIT transactions on the built environment","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"High Street; Real estate; Occupancy; Quarter (Canadian coin); Business; Investment (military); Order (exchange); Space (punctuation); Finance; Marketing; Engineering; Geography; Civil engineering; Political science; Politics","score_opus":0.029127585316799025,"score_gpt":0.19051381001776774,"score_spread":0.16138622470096872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183515559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954965,0.00042143918,0.0010234021,0.0011613241,0.00025394332,0.00045389097,0.00012906325,0.000017115335,0.0010433045],"genre_scores_gemma":[0.9980107,0.0007621964,0.00013271236,0.000093315735,0.0000371795,0.000108701635,0.0000074912996,0.00004269484,0.00080501084],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99813193,0.0001326982,0.00079196104,0.000531741,0.00008732295,0.00032436874],"domain_scores_gemma":[0.998314,0.00021221285,0.00032647274,0.0010680472,0.000008625449,0.00007061518],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000765048,0.00024926796,0.00046846695,0.00014516726,0.00032369862,0.000046548663,0.0003224345,0.00010573878,0.0012659432],"category_scores_gemma":[0.000023986098,0.00021918063,0.00013820989,0.00022243669,0.00008332014,0.000104327184,0.000025995487,0.00040456923,0.000049803377],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004198303,0.015818913,0.41972733,0.00026044488,0.0025997048,0.0020085627,0.042858515,0.39220747,0.00067117787,0.011075878,0.0008081537,0.11154403],"study_design_scores_gemma":[0.022236403,0.0048819724,0.6396157,0.0007029512,0.0016801211,0.00094447046,0.16087292,0.026443949,0.00611204,0.01868995,0.11024849,0.007571028],"about_ca_topic_score_codex":0.011289195,"about_ca_topic_score_gemma":0.031640828,"teacher_disagreement_score":0.36576355,"about_ca_system_score_codex":0.0006847666,"about_ca_system_score_gemma":0.000036676527,"threshold_uncertainty_score":0.999647},"labels":[],"label_agreement":null},{"id":"W3183750603","doi":"10.1016/j.jum.2021.06.002","title":"Exploring housing market and urban densification during COVID-19 in Turkey","year":2021,"lang":"en","type":"article","venue":"Journal of Urban Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Population; Quarter (Canadian coin); Curfew; Business; Economic interventionism; Government (linguistics); Coronavirus disease 2019 (COVID-19); Geography; Economic growth; Socioeconomics; Agricultural economics; Demographic economics; Economics; Finance; Political science; Environmental health; Medicine; Politics","score_opus":0.08403357987714531,"score_gpt":0.2268573257016946,"score_spread":0.14282374582454926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183750603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97328925,0.0015169196,0.0011641692,0.0010835987,0.0005856905,0.000087495646,0.0000031010793,0.000012058075,0.022257738],"genre_scores_gemma":[0.99196434,0.0049047666,0.001860531,0.00022755744,0.00017923817,0.000004376311,0.0000013944932,0.000021637989,0.00083615415],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99871314,0.000027993317,0.0007665071,0.00023663352,0.000041124953,0.00021463034],"domain_scores_gemma":[0.9990938,0.000045688404,0.00047303646,0.00019482948,0.0000242475,0.0001684456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097337377,0.00011368804,0.0003186269,0.0004746374,0.000094751194,0.00014319512,0.000119595796,0.000036277448,0.00012604224],"category_scores_gemma":[0.0001936835,0.0001439644,0.000078087236,0.00021532181,0.00002248587,0.00048032255,0.0000973262,0.0001481648,0.000012596869],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022460222,0.00023488818,0.9470916,0.0007013121,0.00027597952,0.000995026,0.0031901945,0.0036443337,0.000079259145,0.023633879,0.015156708,0.0047722314],"study_design_scores_gemma":[0.0046891905,0.00007720596,0.6306574,0.00029927236,0.000065699685,0.00017571509,0.0036335231,0.0064006317,0.00018348136,0.010370388,0.3426204,0.0008271197],"about_ca_topic_score_codex":0.00002781881,"about_ca_topic_score_gemma":0.000014685737,"teacher_disagreement_score":0.3274637,"about_ca_system_score_codex":0.00046986897,"about_ca_system_score_gemma":0.00003117748,"threshold_uncertainty_score":0.58706975},"labels":[],"label_agreement":null},{"id":"W3183976083","doi":"","title":"EXAMINATION OF CLIENT INFLUENCE ON RESIDENTIAL AND COMMERCIAL PROPERTY VALUATION IN ONITSHA, ANAMBRA STATE, NIGERIA","year":2020,"lang":"en","type":"article","venue":"Environmental Reviews","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Real estate; Estate; Enforcement; Business; Residential property; Real property; Actuarial science; Property management; Finance; Economics","score_opus":0.05267352635982568,"score_gpt":0.22900296123261904,"score_spread":0.17632943487279334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183976083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945983,0.00085503125,0.0000643551,0.000172545,0.000055099634,0.00040575047,0.000019430036,0.000004261537,0.003825223],"genre_scores_gemma":[0.99029756,0.009089593,0.00014047607,0.00032983717,0.000026068854,0.00001920326,0.000021540467,0.000011319385,0.00006439994],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988787,0.00006486724,0.0006461691,0.00026495513,0.000031221498,0.000114057046],"domain_scores_gemma":[0.9994929,0.000020956548,0.0003102229,0.00012385729,6.590131e-7,0.000051438157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007163941,0.00010372344,0.00032536977,0.00006658246,0.00003387104,0.00002098038,0.000083324856,0.00004016276,0.00009326172],"category_scores_gemma":[0.00009896548,0.000099798825,0.000039871415,0.000070516515,0.000051626685,0.00019893891,0.000048734124,0.000087296,0.0002419167],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012752444,0.00026201407,0.66782475,0.00014219864,0.000014721064,0.00000272588,0.0043289945,0.00043424152,0.0013102653,0.00028621635,0.0003444605,0.32492188],"study_design_scores_gemma":[0.00046647943,0.00016863931,0.9695562,0.000042359,0.0000024025478,3.8162335e-7,0.000037278714,0.000951813,0.00020687812,0.0003802509,0.028028697,0.00015862164],"about_ca_topic_score_codex":0.000046171885,"about_ca_topic_score_gemma":0.00003632381,"teacher_disagreement_score":0.32476327,"about_ca_system_score_codex":0.00010666619,"about_ca_system_score_gemma":0.000004448907,"threshold_uncertainty_score":0.4069678},"labels":[],"label_agreement":null},{"id":"W3184087260","doi":"10.3905/jpm.2021.1.275","title":"Three Decades of Global Institutional Investment in Commercial Real Estate","year":2021,"lang":"en","type":"article","venue":"The Journal of Portfolio Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Real estate investment trust; Capitalization rate; Business; Finance; Real estate development; Corporate Real Estate; Asset allocation; Cost approach; Alternative asset; Portfolio; Alternative investment; Sovereign wealth fund; Pension; Economics; Market liquidity; Foreign direct investment","score_opus":0.02970841869085493,"score_gpt":0.2400569363009677,"score_spread":0.21034851761011275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184087260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7126663,0.00023123203,0.0013135108,0.00050575077,0.0004039081,0.00007171622,0.000014817072,0.00000277357,0.28479],"genre_scores_gemma":[0.98915863,0.008790182,0.0016460745,0.00024346748,0.00008981864,0.0000014964797,0.0000031233228,0.0000073946744,0.000059799222],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987191,0.000021062235,0.00092148664,0.00010254947,0.00006157715,0.00017421214],"domain_scores_gemma":[0.9990551,0.000022878614,0.0006356636,0.00019852081,0.00003669677,0.000051158793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001298306,0.00009558887,0.0003205771,0.00012493365,0.00005037095,0.000025387728,0.00026355757,0.000035656256,0.00013570549],"category_scores_gemma":[0.000022182512,0.000088473666,0.00010598185,0.00026159635,0.00008100737,0.00015024401,0.00013057687,0.00011114016,0.000018960785],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018351454,0.00035492133,0.36570552,0.00006247089,0.0003101622,0.00022647867,0.000367078,0.005074488,0.000004656944,0.5908928,0.00325928,0.03355864],"study_design_scores_gemma":[0.0015119805,0.000081967206,0.8423724,0.00006612252,0.000052128078,0.00006871011,0.00037501723,0.0006514868,0.00003606288,0.11812228,0.03647788,0.00018394491],"about_ca_topic_score_codex":0.00034724694,"about_ca_topic_score_gemma":0.0009105277,"teacher_disagreement_score":0.4766669,"about_ca_system_score_codex":0.00027348593,"about_ca_system_score_gemma":0.00006588662,"threshold_uncertainty_score":0.36078513},"labels":[],"label_agreement":null},{"id":"W3184870643","doi":"10.2139/ssrn.3706329","title":"Modeling House Prices: Theory and Estimation","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; Government of Canada","funders":"","keywords":"Estimation; House price; Econometrics; Economics; Management","score_opus":0.019526642097965587,"score_gpt":0.2030606960376745,"score_spread":0.1835340539397089,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184870643","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55022144,0.0028949077,0.44101122,0.001128893,0.00010707541,0.0000643914,0.0000024224253,0.000058513546,0.004511157],"genre_scores_gemma":[0.99132556,0.007352666,0.0007102515,0.00032877387,0.00018684784,0.000001543362,0.0000011754721,0.000033606066,0.00005959781],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986264,0.000016668357,0.00035238874,0.00019746434,0.000018043573,0.00078901683],"domain_scores_gemma":[0.99963254,0.000029126293,0.00015423424,0.00007966789,0.000011570744,0.00009284942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019030292,0.000101252976,0.00020023956,0.00007702229,0.00014740003,0.00011801712,0.00013080954,0.00005763205,0.000033529945],"category_scores_gemma":[0.0001531925,0.00011472412,0.00005702215,0.000077875746,0.000019293188,0.00033015278,0.00002997766,0.0006141955,0.00013615351],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006386959,0.000013141477,0.0013342928,0.000009816373,0.000060692084,8.061572e-7,0.00070627587,0.011479802,0.0000056226468,0.96855956,0.00001543225,0.017750684],"study_design_scores_gemma":[0.00030871097,0.00007072611,0.000035148358,0.0000037931713,0.0000063609846,0.000032515974,0.00037996192,0.32593426,0.0000022891059,0.67264116,0.00045672667,0.00012835921],"about_ca_topic_score_codex":0.00002060126,"about_ca_topic_score_gemma":0.000027960521,"teacher_disagreement_score":0.4411041,"about_ca_system_score_codex":0.0002336029,"about_ca_system_score_gemma":0.00014826268,"threshold_uncertainty_score":0.46783137},"labels":[],"label_agreement":null},{"id":"W3185116268","doi":"10.2139/ssrn.3872032","title":"Early Cost Realization and College Choice","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Realization (probability); Computer science; Mathematics; Statistics","score_opus":0.014200306853967757,"score_gpt":0.2078555318118506,"score_spread":0.19365522495788284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185116268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8926342,0.005773836,0.012941857,0.0013768129,0.0006041839,0.00012388139,0.0000378813,0.00003269372,0.08647465],"genre_scores_gemma":[0.9791098,0.01676419,0.00009117817,0.00015001437,0.0002668133,0.0000029481944,0.000008800136,0.00002503604,0.0035812007],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984402,0.000019294537,0.00035530725,0.00021846735,0.00002059692,0.0009461237],"domain_scores_gemma":[0.9995172,0.00003605891,0.00020129414,0.00013135931,0.000037869326,0.00007623864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009778142,0.00009771001,0.00021517237,0.000100761004,0.0001956847,0.000121179386,0.000094850664,0.00007758437,0.00010166049],"category_scores_gemma":[0.00012835581,0.00012314625,0.00005827209,0.00015609409,0.000025441786,0.00026078816,0.000031915082,0.000524441,0.00008602973],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011978016,0.000028066566,0.067088984,0.0000049408036,0.00006353786,0.000004260558,0.00008970402,0.00002009484,0.000010252148,0.92587805,0.00024955906,0.006550559],"study_design_scores_gemma":[0.0012356301,0.00010343484,0.029851956,0.000013485508,0.000013920604,0.00042219146,0.00040708922,0.0010093506,0.000025619644,0.8564167,0.110170476,0.00033011386],"about_ca_topic_score_codex":0.0001179371,"about_ca_topic_score_gemma":0.0010224982,"teacher_disagreement_score":0.10992092,"about_ca_system_score_codex":0.000503139,"about_ca_system_score_gemma":0.00036532,"threshold_uncertainty_score":0.50217587},"labels":[],"label_agreement":null},{"id":"W3185712751","doi":"10.1093/rfs/hhab124","title":"RETRACTED: Mortgage Finance and Climate Change: Securitization Dynamics in the Aftermath of Natural Disasters","year":2021,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":149,"is_retracted":true,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Securitization; Natural disaster; Business; Government (linguistics); Finance; Flood myth; Incentive; Economics; Financial system; Geography; Market economy","score_opus":0.03048392151520835,"score_gpt":0.2623772963524897,"score_spread":0.23189337483728134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185712751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55829483,0.43609348,0.000010943324,0.0010181282,0.00032987725,0.000270837,0.00017348772,0.0000046388395,0.0038037645],"genre_scores_gemma":[0.5219214,0.477614,0.00008833247,0.0003021988,0.00003301638,0.000016651164,0.000014289958,0.000004932478,0.000005197427],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989142,0.000032310287,0.00066555175,0.00019433974,0.00003089759,0.00016270929],"domain_scores_gemma":[0.9992478,0.00007648398,0.00042590097,0.0001844775,0.000055901448,0.000009421115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074253615,0.000112001915,0.00063087186,0.000052973024,0.00005357057,0.000010489548,0.00010398856,0.000048945087,0.0000044011363],"category_scores_gemma":[0.00041728633,0.000103061946,0.000083664614,0.0002865986,0.00009245598,0.00015818776,0.000083107574,0.00012580595,0.0000026925554],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057351233,0.0003186624,0.30174643,0.042043526,0.000091952585,0.00005629802,0.0096040005,0.000006112202,0.000006581499,0.478263,0.0012005671,0.16660555],"study_design_scores_gemma":[0.0011674693,0.00015003837,0.9196006,0.02025216,0.00009604785,0.00003914007,0.001742979,0.0024947063,0.000048103673,0.012171373,0.041359514,0.00087787956],"about_ca_topic_score_codex":0.000026721535,"about_ca_topic_score_gemma":0.00039217973,"teacher_disagreement_score":0.6178542,"about_ca_system_score_codex":0.00006261066,"about_ca_system_score_gemma":0.000013419879,"threshold_uncertainty_score":0.42027444},"labels":[],"label_agreement":null},{"id":"W3186099878","doi":"10.1177/00420980211029203","title":"The three tenures: A case of property maintenance","year":2021,"lang":"en","type":"article","venue":"Urban Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Incentive; Business; Property management; Neighbourhood (mathematics); Landlord; Preference; Liability; Property tax; Property (philosophy); Unit (ring theory); Public economics; Demographic economics; Finance; Economics; Revenue; Market economy; Microeconomics; Political science; Real estate; Law","score_opus":0.060725919194675966,"score_gpt":0.23761737590453377,"score_spread":0.17689145670985781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186099878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48943797,0.10858295,0.0005426244,0.007119256,0.00253874,0.00043403596,0.00014190818,0.000086592096,0.3911159],"genre_scores_gemma":[0.98475564,0.005570745,0.00034099724,0.00012678718,0.00012411806,0.000023018476,0.0000011416001,0.00001783961,0.009039698],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.999093,0.00001003359,0.000425769,0.00023332301,0.000013352801,0.00022450299],"domain_scores_gemma":[0.9991961,0.00014266241,0.00019955749,0.000348578,0.0000866411,0.000026448737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042148077,0.000101886384,0.00033535474,0.00003145378,0.00026256312,0.00003819972,0.00011722468,0.000034086825,0.000026823765],"category_scores_gemma":[0.00051734946,0.00006586163,0.00009859163,0.00012633124,0.00018972153,0.00006693032,0.00012603996,0.00007888569,0.00007860868],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010676278,0.00023166064,0.22498178,0.0003002678,0.0014527002,0.0010263397,0.007968718,0.00005632956,0.000026911177,0.44926462,0.25137296,0.06321093],"study_design_scores_gemma":[0.00080558227,0.000081640814,0.0042511346,0.00007519045,0.00002758287,0.00031087108,0.0045977766,0.0012845794,0.00015349349,0.09921834,0.8887623,0.00043151592],"about_ca_topic_score_codex":0.00009605304,"about_ca_topic_score_gemma":0.0014607402,"teacher_disagreement_score":0.6373893,"about_ca_system_score_codex":0.000057476293,"about_ca_system_score_gemma":0.000023062212,"threshold_uncertainty_score":0.26857594},"labels":[],"label_agreement":null},{"id":"W3186181768","doi":"10.2139/ssrn.3805973","title":"Conflicts of Interest and Agent Heterogeneity in Buyer Brokerage","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University; Concordia University","funders":"","keywords":"Business; Conflict of interest; Finance","score_opus":0.04459496439300835,"score_gpt":0.23361547611895553,"score_spread":0.1890205117259472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186181768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98688465,0.004840778,0.0007435834,0.0002954972,0.00020071512,0.000038461916,0.0000069316466,0.0000045231673,0.006984886],"genre_scores_gemma":[0.98456323,0.014871392,0.00006297479,0.00008120866,0.000060403298,0.0000011779318,0.0000025604763,0.000014767091,0.00034225837],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984542,0.000023219698,0.0005138714,0.00020177814,0.000013922485,0.00079300365],"domain_scores_gemma":[0.999523,0.000025717638,0.00023122432,0.00013916007,0.000021921694,0.000059019963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012042974,0.00009773678,0.00030781943,0.00014073851,0.000043218755,0.000048403253,0.00010780445,0.00007014307,0.000074133386],"category_scores_gemma":[0.000071723574,0.00011816383,0.00008050903,0.00009752638,0.00003323578,0.00013063497,0.000056137906,0.00058799,0.000023909379],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071414695,0.00020158887,0.3887959,0.00003944838,0.00021318828,0.000029232711,0.00059134304,0.00008913273,0.00041540302,0.5898968,0.000041204,0.019615317],"study_design_scores_gemma":[0.004225127,0.00039685756,0.11110354,0.00009623207,0.00002302465,0.0010802189,0.0012223622,0.001836937,0.0024590488,0.842363,0.034372933,0.00082069874],"about_ca_topic_score_codex":0.00010311476,"about_ca_topic_score_gemma":0.004084509,"teacher_disagreement_score":0.27769238,"about_ca_system_score_codex":0.00034997863,"about_ca_system_score_gemma":0.00019613284,"threshold_uncertainty_score":0.4818581},"labels":[],"label_agreement":null},{"id":"W3186314208","doi":"10.1108/ijhma-04-2021-0037","title":"Dynamics of affordability and immigration in the Canadian housing market","year":2021,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Immigration; Metropolitan area; Census; Demographic economics; Pandemic; Medicine; Environmental health; Business; Coronavirus disease 2019 (COVID-19); Geography; Economics","score_opus":0.012050270990263637,"score_gpt":0.22006534194706534,"score_spread":0.20801507095680172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186314208","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98293877,0.00049368397,0.0016226962,0.003636719,0.000194834,0.00002828053,0.000042079355,0.0000015808283,0.0110413395],"genre_scores_gemma":[0.99771905,0.0011087093,0.00092492276,0.00014037894,0.000057535894,3.9760343e-7,0.000012043168,0.0000067716496,0.000030167126],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99889004,0.000061932784,0.00069448154,0.00015396425,0.00007386936,0.00012573757],"domain_scores_gemma":[0.99902,0.00013833807,0.0005015821,0.0001175715,0.00016375528,0.00005875456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019370882,0.00008802693,0.0003477967,0.0008590163,0.00007708442,0.00021296968,0.00016618031,0.000060171562,0.00011471751],"category_scores_gemma":[0.00019939763,0.000081916136,0.00014964162,0.0004239586,0.000073091156,0.00022687759,0.000034997975,0.00013693431,3.314693e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005232138,0.000056734243,0.97668815,0.000013004641,0.00049946795,0.000051901334,0.00051512214,0.00028381878,0.00000578381,0.0053944797,0.00005786844,0.016381348],"study_design_scores_gemma":[0.0006099796,0.000029589983,0.86563945,0.000054760596,0.00018834331,0.000080984806,0.0011902454,0.11100972,0.000017289854,0.018806184,0.002158457,0.0002149757],"about_ca_topic_score_codex":0.010214482,"about_ca_topic_score_gemma":0.20518792,"teacher_disagreement_score":0.19497342,"about_ca_system_score_codex":0.00020758827,"about_ca_system_score_gemma":0.000094395764,"threshold_uncertainty_score":0.9963766},"labels":[],"label_agreement":null},{"id":"W3186772169","doi":"10.1007/s11146-020-09807-z","title":"Examining the Cash-Only Price Discount and the Driving Forces of Cash-Only Transactions in the Housing Market","year":2021,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cash; Business; Database transaction; Renting; Operating cash flow; Monetary economics; Cash flow forecasting; Cash management; Cash and cash equivalents; Market liquidity; Attractiveness; Finance; Cash flow; Economics","score_opus":0.0204256218630097,"score_gpt":0.20919772549617122,"score_spread":0.18877210363316152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186772169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9785771,0.0011199251,0.0010198186,0.0022418154,0.0002741354,0.0001601204,0.000033892316,0.000002973689,0.01657027],"genre_scores_gemma":[0.8474764,0.15178801,0.00029226,0.0001691869,0.000092311246,0.0000030019298,9.549111e-7,0.000019711902,0.00015812412],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9983114,0.00013712207,0.0010217922,0.00019304892,0.000035320114,0.0003013453],"domain_scores_gemma":[0.99734664,0.0011606225,0.0010695915,0.00034849817,0.0000395303,0.000035126603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004404664,0.00018554684,0.0005477565,0.00009245542,0.00040185257,0.00020515226,0.00040048925,0.000069471185,0.000023896579],"category_scores_gemma":[0.000074874704,0.00010962605,0.00011829809,0.00016896815,0.00041227127,0.00048504732,0.00005915811,0.00041507953,0.0000016986727],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013483247,0.00027472523,0.12638223,0.00024398032,0.0006352605,0.00008484609,0.09883475,0.030037848,0.000022117229,0.04243434,0.00052616844,0.6991754],"study_design_scores_gemma":[0.010992995,0.00072984543,0.55657667,0.00070053415,0.0005502162,0.006486699,0.09010802,0.17268348,0.00014341294,0.048592303,0.11067031,0.0017655289],"about_ca_topic_score_codex":0.0007490574,"about_ca_topic_score_gemma":0.0028344928,"teacher_disagreement_score":0.69740987,"about_ca_system_score_codex":0.00007977349,"about_ca_system_score_gemma":0.00015435745,"threshold_uncertainty_score":0.44704205},"labels":[],"label_agreement":null},{"id":"W3188726618","doi":"","title":"주택유형별 매매가격 변동의 상호관계에 관한 실증연구 - 서울지역을 중심으로 -","year":2019,"lang":"ko","type":"article","venue":"부동산경영","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Apartment; Quarter (Canadian coin); Shock (circulatory); Economics; Econometrics; House price; Financial economics; Geography; Engineering","score_opus":0.01817865960268062,"score_gpt":0.19083901207659748,"score_spread":0.17266035247391687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3188726618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6294258,0.0014853856,0.00014517632,0.0013574093,0.006433563,0.00044454198,0.00025222916,0.00009475369,0.36036113],"genre_scores_gemma":[0.95787996,0.0031810766,0.0004432848,0.0011294733,0.0010347128,0.000017341215,0.00007547736,0.00015889388,0.036079776],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961254,0.00004159271,0.0013876731,0.0012107701,0.000071006005,0.0011635395],"domain_scores_gemma":[0.9973754,0.00016825009,0.0007560683,0.0013230494,0.000045142682,0.00033206245],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010954923,0.00055259606,0.0012178217,0.00044717838,0.00023386689,0.00049550156,0.0007758588,0.00057416316,0.013676404],"category_scores_gemma":[0.00012599575,0.00074466754,0.0004811755,0.00038177735,0.00013246934,0.00063538033,0.00030030022,0.000583657,0.0639588],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002010347,0.0005298336,0.85160464,0.00048761372,0.0004916991,0.000038084163,0.0016424664,0.00068354135,0.00006737901,0.08527353,0.03464599,0.024334196],"study_design_scores_gemma":[0.0022930433,0.00027062395,0.07560969,0.000113379705,0.00005204286,0.000019140956,0.00026769668,0.016996436,0.000097633456,0.012647632,0.8899347,0.0016979404],"about_ca_topic_score_codex":0.00046914123,"about_ca_topic_score_gemma":0.00009641618,"teacher_disagreement_score":0.85528874,"about_ca_system_score_codex":0.00041906847,"about_ca_system_score_gemma":0.000118602075,"threshold_uncertainty_score":0.99950045},"labels":[],"label_agreement":null},{"id":"W3189539671","doi":"10.1016/j.jhe.2021.101803","title":"The Global Financial Crisis and transition out of homeownership in Korea","year":2021,"lang":"en","type":"article","venue":"Journal of Housing Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Financial crisis; Transition (genetics); Financial system; Business; Economics; Keynesian economics","score_opus":0.02600760225396807,"score_gpt":0.21625238056772453,"score_spread":0.19024477831375647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3189539671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899447,0.0014689746,0.0007048703,0.002566316,0.001075021,0.00004356172,0.00003739569,0.0000037990712,0.004155387],"genre_scores_gemma":[0.9938791,0.004764846,0.00093752664,0.00019880741,0.00019277923,6.3825314e-7,0.0000016618135,0.000015055252,0.000009578627],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984195,0.00002746659,0.0011371303,0.00017523335,0.000018935281,0.00022173056],"domain_scores_gemma":[0.9987901,0.00009519303,0.0008149877,0.00017290722,0.000057872436,0.00006898069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011270769,0.00012023333,0.00051178597,0.000121218385,0.00008382178,0.000116470685,0.000154037,0.00011318887,0.000016962256],"category_scores_gemma":[0.00015549615,0.00012300399,0.00016505558,0.00011246758,0.00008048604,0.0002966775,0.000035581455,0.0001759099,0.000005362084],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016450892,0.000927509,0.5629712,0.0004100086,0.00060850324,0.00022749299,0.009910761,0.0203844,0.00011263862,0.32246146,0.0042900117,0.07605095],"study_design_scores_gemma":[0.0066190353,0.0004859195,0.11679627,0.0002463259,0.00010478231,0.00035829784,0.0037290845,0.010528251,0.0012113476,0.7990932,0.059594516,0.0012329505],"about_ca_topic_score_codex":0.000047079277,"about_ca_topic_score_gemma":0.00075425603,"teacher_disagreement_score":0.47663176,"about_ca_system_score_codex":0.00026888453,"about_ca_system_score_gemma":0.00015029474,"threshold_uncertainty_score":0.5015957},"labels":[],"label_agreement":null},{"id":"W3189792895","doi":"10.1111/sjoe.12475","title":"Valuing elementary schools: evidence from public school acquisitions in Beijing*","year":2022,"lang":"en","type":"article","venue":"Scandinavian Journal of Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Beijing; Apartment; Government (linguistics); Difference in differences; Local government; Economics; Willingness to pay; Significant difference; Demographic economics; Business; Public economics; China; Econometrics; Geography; Political science; Microeconomics; Public administration; Statistics; Mathematics","score_opus":0.05921630665344082,"score_gpt":0.23619531953663764,"score_spread":0.1769790128831968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3189792895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98764825,0.0022295734,0.00037339455,0.0029490625,0.0016150104,0.00015972155,0.00022539124,0.000013463727,0.004786139],"genre_scores_gemma":[0.99431133,0.0018454437,0.0026195976,0.0005562278,0.000486348,0.000019097732,0.000025429386,0.000046851816,0.00008967759],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971228,0.00008596632,0.0018288232,0.0004176871,0.000043159045,0.00050152757],"domain_scores_gemma":[0.99763346,0.00016972597,0.0014359005,0.00040552428,0.000040360494,0.00031500254],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00248126,0.00022056978,0.00069987547,0.0009335338,0.00033647456,0.00029070658,0.00084020884,0.00007346061,0.0051373746],"category_scores_gemma":[0.0002898832,0.000306162,0.00029299792,0.00031810664,0.000051799565,0.0015562933,0.00027735866,0.0008125587,0.00018353917],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013648107,0.00015074751,0.98039865,0.000009841359,0.00013674668,0.000037934184,0.00038429163,0.0067545767,0.000023098857,0.0070371623,0.001978563,0.002951879],"study_design_scores_gemma":[0.010828951,0.0017906084,0.3910224,0.00073364744,0.00013944833,0.0005195886,0.011848195,0.02867448,0.00010131427,0.44782197,0.10323761,0.0032817677],"about_ca_topic_score_codex":0.00027564474,"about_ca_topic_score_gemma":0.00014746492,"teacher_disagreement_score":0.5893763,"about_ca_system_score_codex":0.0020487094,"about_ca_system_score_gemma":0.00022154277,"threshold_uncertainty_score":0.999939},"labels":[],"label_agreement":null},{"id":"W3190100363","doi":"10.3390/jrfm14080360","title":"The COVID-19 Pandemic and Commercial Property Rent Dynamics","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Real estate; Economic rent; Pandemic; Coronavirus disease 2019 (COVID-19); Business; Property market; Demographic economics; Capital (architecture); Quarter (Canadian coin); Economics; Geography; Development economics; Economic geography; Market economy; Finance; Medicine","score_opus":0.02876400132475552,"score_gpt":0.22450720556569403,"score_spread":0.19574320424093852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190100363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8833388,0.012973369,0.06310747,0.006515517,0.0029630142,0.00037637298,0.0001124864,0.00002775989,0.030585207],"genre_scores_gemma":[0.883546,0.11368938,0.0008892889,0.00082409143,0.00028382827,0.0000040180907,0.000003162074,0.000015679203,0.0007445765],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99897957,0.00003369926,0.00058738305,0.00017386962,0.00003570662,0.00018979942],"domain_scores_gemma":[0.9991307,0.00009793596,0.00045827572,0.00014898082,0.000032244687,0.00013181649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013320048,0.0001084164,0.0002994127,0.00009276578,0.0003946578,0.00015875146,0.00013135198,0.000060523653,0.000016360013],"category_scores_gemma":[0.00032700074,0.00007891952,0.000084036794,0.00010433703,0.000091091155,0.00011284491,0.0001448629,0.0002162415,0.0000063340053],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014315304,0.00006403308,0.37913394,0.000059674207,0.000048364767,0.000062608844,0.0005347451,0.000056869587,2.890669e-7,0.08885846,0.0037184425,0.52731943],"study_design_scores_gemma":[0.0009436908,0.00006505369,0.08805973,0.000014092819,0.000033016455,0.000085847874,0.00028903436,0.00072346535,4.0822397e-7,0.049436186,0.86019355,0.00015590411],"about_ca_topic_score_codex":0.000077630124,"about_ca_topic_score_gemma":0.00055844407,"teacher_disagreement_score":0.8564751,"about_ca_system_score_codex":0.00016258538,"about_ca_system_score_gemma":0.000044467426,"threshold_uncertainty_score":0.32182446},"labels":[],"label_agreement":null},{"id":"W3191790152","doi":"","title":"Determinants of housing supply: Case of Kuala Lumpur and Johor / Anis Nurhidayah Anuar","year":2007,"lang":"en","type":"article","venue":"UiTM Institutional Repositories (Universiti Teknologi MARA)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Kuala lumpur; Government (linguistics); Sample (material); Business; Variables; Population; Economics; Public economics; Marketing; Geography; Environmental health; Mathematics; Statistics","score_opus":0.018070076352551697,"score_gpt":0.22120005328906298,"score_spread":0.20312997693651128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3191790152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96658826,0.00033268062,0.0013814282,0.000043479366,0.0008726607,0.00013615545,0.00015184152,0.00003498895,0.03045851],"genre_scores_gemma":[0.9968153,0.00020560152,0.0025955532,0.000017425971,0.000119304954,9.865669e-7,0.000012813456,0.00001315391,0.00021980927],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99866194,0.000014480263,0.0005953967,0.0003708491,0.00004969877,0.00030765057],"domain_scores_gemma":[0.99887305,0.00013238794,0.0005297168,0.00026685363,0.00010179243,0.0000961786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005326898,0.00017560167,0.0004743214,0.0004092162,0.00032767985,0.000035227582,0.0001826289,0.00021811502,0.00004896322],"category_scores_gemma":[0.00014602582,0.00022615482,0.000106129475,0.00028036837,0.0006314886,0.00050791586,0.00016312816,0.00013707117,0.000008787808],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019541121,0.00014543599,0.74408,0.00014787616,0.00009861992,0.0018923576,0.00089617743,0.00013112761,0.00048626968,0.2434535,0.00013673333,0.008336479],"study_design_scores_gemma":[0.007834795,0.0021131558,0.81034815,0.0006661667,0.00035293805,0.016372025,0.01628399,0.01567297,0.03019096,0.04679517,0.04959258,0.0037770823],"about_ca_topic_score_codex":0.0008797414,"about_ca_topic_score_gemma":0.00028342556,"teacher_disagreement_score":0.19665833,"about_ca_system_score_codex":0.00021823151,"about_ca_system_score_gemma":0.00008792207,"threshold_uncertainty_score":0.9222326},"labels":[],"label_agreement":null},{"id":"W3191990535","doi":"10.1108/ijhma-05-2021-0062","title":"The influence of design-related features on houses time-on-market: a statistical analysis","year":2021,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Originality; Novelty; Purchasing; Actuarial science; Architectural engineering; Operations research; Computer science; Marketing; Business; Engineering; Psychology","score_opus":0.011330991455306267,"score_gpt":0.23270496798317072,"score_spread":0.22137397652786445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3191990535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9805948,0.00061435654,0.007518559,0.0010001677,0.00022902703,0.000042261137,0.00009767258,0.000008831208,0.009894329],"genre_scores_gemma":[0.996198,0.0018203306,0.0012920195,0.0001592555,0.00005602405,8.2748636e-7,0.000008905922,0.000014470331,0.0004501395],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9982846,0.00012373578,0.0010086186,0.00024832398,0.00016224454,0.00017252007],"domain_scores_gemma":[0.996991,0.0013501411,0.0010496682,0.00021630504,0.0003088661,0.000084026724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015762948,0.00015417406,0.0006387174,0.0011430924,0.00013565306,0.00026654018,0.00031523634,0.0000748964,0.00041624624],"category_scores_gemma":[0.0009774558,0.00012650296,0.00044009744,0.0009417401,0.00012813498,0.0001436838,0.00005695962,0.00020262695,0.000009049214],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029500888,0.00093760266,0.38805026,0.00003379721,0.08212464,0.00051944435,0.0009061996,0.4288012,0.00025332783,0.03365241,0.004222877,0.057548147],"study_design_scores_gemma":[0.0012072632,0.00023661494,0.9153833,0.00013166026,0.0027721296,0.000050474428,0.00014039795,0.059667714,0.00022070558,0.015645731,0.0040546637,0.00048935506],"about_ca_topic_score_codex":0.000036058256,"about_ca_topic_score_gemma":0.000022474218,"teacher_disagreement_score":0.527333,"about_ca_system_score_codex":0.00008860388,"about_ca_system_score_gemma":0.000056434863,"threshold_uncertainty_score":0.5158641},"labels":[],"label_agreement":null},{"id":"W3192046484","doi":"10.3386/w29130","title":"Return on Student Loans in Canada","year":2021,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Brock University; Western University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Business; Economics","score_opus":0.25675780489937233,"score_gpt":0.42339377045651017,"score_spread":0.16663596555713783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192046484","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49051687,0.00040040747,0.0000033766348,0.0011886205,0.0010698547,0.00033265847,0.00018429484,0.00000588572,0.506298],"genre_scores_gemma":[0.9975077,0.0009457774,0.00012213584,0.00011269517,0.00029577198,0.000080336344,0.00026183832,0.000044816406,0.0006289119],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99679327,0.00009824657,0.0014096467,0.0009362636,0.00021578441,0.00054679386],"domain_scores_gemma":[0.99800074,0.0005970239,0.0004862983,0.00059263885,0.00019535027,0.00012791935],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0035419487,0.0002532175,0.00086936087,0.0009809865,0.000072327035,0.00015762537,0.00085848325,0.00030441323,0.0012089834],"category_scores_gemma":[0.0004027054,0.00034811595,0.00017321385,0.00017489378,0.0000932924,0.000119551216,0.00064187095,0.0013161264,0.00017077962],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009842854,0.00033657425,0.21634579,0.00021309807,0.00025589904,0.00003565544,0.0006164536,0.049901184,0.0000063130547,0.7197247,0.011489524,0.00097637123],"study_design_scores_gemma":[0.001413004,0.00009342949,0.068583615,0.00031707258,0.0000047182107,0.0000042835304,0.0008074332,0.01862141,0.000159822,0.9033796,0.0056959363,0.0009196794],"about_ca_topic_score_codex":0.7535058,"about_ca_topic_score_gemma":0.8524236,"teacher_disagreement_score":0.50699085,"about_ca_system_score_codex":0.010152829,"about_ca_system_score_gemma":0.004936561,"threshold_uncertainty_score":0.99989706},"labels":[],"label_agreement":null},{"id":"W3193347197","doi":"10.32920/28664975.v1","title":"Possible income misstatement on mortgage loan applications: Evidence from the Canadian housing market","year":2025,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canada Mortgage and Housing Corporation; Toronto Metropolitan University","funders":"","keywords":"Mortgage loan; Business; Secondary mortgage market; Loan; Mortgage underwriting; Shared appreciation mortgage; Financial system; Commercial mortgage-backed security; Mortgage insurance; Finance","score_opus":0.037620295325253655,"score_gpt":0.2481352264356605,"score_spread":0.21051493111040684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193347197","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.103498176,0.0010715161,0.004721605,0.008988999,0.00052117184,0.00069813954,0.00015425691,0.000076033975,0.8802701],"genre_scores_gemma":[0.9902374,0.000609206,0.0009757133,0.0029727672,0.00009727859,0.00008477758,0.000016241635,0.00001927176,0.004987348],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99870306,0.00002195112,0.0005001267,0.00042379525,0.000026038822,0.00032504005],"domain_scores_gemma":[0.99876165,0.00029236797,0.00014592044,0.0006659904,0.00002075809,0.00011328411],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00085831434,0.00014938788,0.00023240324,0.00021197052,0.0005066383,0.0003623315,0.00045401027,0.00008310966,0.0014566287],"category_scores_gemma":[0.000099013014,0.000142214,0.0000726099,0.00028975576,0.000057120575,0.00019022802,0.0000706737,0.00016522438,0.00064594694],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054524855,0.00007945683,0.7646646,0.000045512945,0.00016905367,0.0000053656454,0.00041559554,0.000590803,0.000005401016,0.15859134,0.047750264,0.027628087],"study_design_scores_gemma":[0.0005334724,0.000036580397,0.28862682,0.0002334569,0.00002272989,5.8092706e-7,0.000258038,0.015341332,0.000099856545,0.10454165,0.58969873,0.0006067333],"about_ca_topic_score_codex":0.24758191,"about_ca_topic_score_gemma":0.33896843,"teacher_disagreement_score":0.8867392,"about_ca_system_score_codex":0.000620449,"about_ca_system_score_gemma":0.00016803859,"threshold_uncertainty_score":0.99945617},"labels":[],"label_agreement":null},{"id":"W31934771","doi":"10.1089/acm.2019.0374","title":"Diep renoveren = klantgericht denken","year":2013,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Theology; Art; Political science; Philosophy","score_opus":0.021689521836370122,"score_gpt":0.17743216571556586,"score_spread":0.15574264387919573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W31934771","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23575449,0.00010163255,0.0010710097,0.00055869593,0.00033851416,0.000111012225,0.000008335723,0.00007462363,0.76198167],"genre_scores_gemma":[0.98409575,0.00019205957,0.002309425,0.0006191896,0.00015507266,0.000022923896,0.000009943404,0.000027030523,0.0125685865],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990172,0.000004314678,0.00039525994,0.00027912966,0.000012299704,0.00029180883],"domain_scores_gemma":[0.99942976,0.00003219863,0.00013113164,0.00029947222,0.000014636901,0.00009279373],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00018791555,0.000116092895,0.00025912374,0.00011900208,0.00006747543,0.00015275429,0.00019887593,0.00007697537,0.012092043],"category_scores_gemma":[0.000041239648,0.00012697745,0.00007676138,0.00011005387,0.000028690893,0.0003478055,0.00006493755,0.00007703245,0.022975056],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012898661,0.00013806488,0.32623234,0.000030590767,0.00011204452,0.0000036290014,0.00039451593,0.000032229946,0.00007322924,0.50027937,0.14399876,0.028692301],"study_design_scores_gemma":[0.0008850034,0.00008193931,0.14432314,0.000009551064,0.0000063226435,0.000010336768,0.000117218784,0.010129057,0.00013283025,0.3158516,0.5275024,0.00095061853],"about_ca_topic_score_codex":0.0009833449,"about_ca_topic_score_gemma":0.000040265844,"teacher_disagreement_score":0.74941313,"about_ca_system_score_codex":0.00005876319,"about_ca_system_score_gemma":0.0000078156445,"threshold_uncertainty_score":0.988811},"labels":[],"label_agreement":null},{"id":"W3193688427","doi":"10.1093/rfs/hhab087","title":"Consumption Imputation Errors in Administrative Data","year":2021,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Imputation (statistics); Econometrics; Economics; Statistics; Missing data; Computer science; Mathematics","score_opus":0.2183367573983212,"score_gpt":0.36662111479447335,"score_spread":0.14828435739615214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193688427","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17329866,0.8046648,0.00025879967,0.0016552424,0.0007395162,0.0003613862,0.00032609966,0.000017472228,0.018678015],"genre_scores_gemma":[0.22172722,0.77650404,0.0011539286,0.00037672272,0.000060242433,0.000014371251,0.00009051436,0.000008391054,0.00006454827],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988162,0.000024321947,0.0007232403,0.0002897709,0.000019346828,0.00012714443],"domain_scores_gemma":[0.99920225,0.00007376877,0.000357345,0.0002933114,0.000055018118,0.000018283867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077452324,0.000091743605,0.0006014271,0.000052491137,0.000039828323,0.000007777655,0.00013535211,0.000038415223,0.00007650616],"category_scores_gemma":[0.0015930809,0.00010724176,0.00005710535,0.0001866664,0.00006064523,0.000176023,0.00012934953,0.000069022775,0.00008491484],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006812532,0.0005958948,0.3904299,0.036435682,0.00032002275,0.00009083437,0.0027974802,0.00003502191,0.000017294378,0.24937911,0.027722115,0.2921085],"study_design_scores_gemma":[0.0018138366,0.00019380462,0.46349698,0.016749706,0.000103447026,0.000023570723,0.00050342974,0.0007554462,0.00020428225,0.060797166,0.45413622,0.0012220778],"about_ca_topic_score_codex":0.000023370996,"about_ca_topic_score_gemma":0.0002887905,"teacher_disagreement_score":0.42641413,"about_ca_system_score_codex":0.00007186352,"about_ca_system_score_gemma":0.000071214155,"threshold_uncertainty_score":0.4373192},"labels":[],"label_agreement":null},{"id":"W3193809655","doi":"10.3390/jrfm14080374","title":"Modelling the Impact of Different COVID-19 Pandemic Waves on Real Estate Stock Returns and Their Volatility Using a GJR-GARCHX Approach: An International Perspective","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Uniwersytet Ekonomiczny w Krakowie","keywords":"Pandemic; Stock (firearms); Volatility (finance); Real estate; Frontier; Financial economics; Coronavirus disease 2019 (COVID-19); Stock market; Economics; Business; Geography; Finance; Infectious disease (medical specialty)","score_opus":0.07416155143399232,"score_gpt":0.2846706035758763,"score_spread":0.21050905214188398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193809655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9415374,0.00016788012,0.05498811,0.000044001183,0.00015061967,0.00010885995,0.00008786387,0.0000040226314,0.0029112718],"genre_scores_gemma":[0.98026216,0.018683525,0.00088279205,0.000021658216,0.00012252762,0.0000013614349,0.0000033755825,0.000010672891,0.000011904724],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898803,0.000058070927,0.0005182974,0.0002373329,0.000044065077,0.00015420555],"domain_scores_gemma":[0.9989824,0.000089958994,0.0005919545,0.00016978735,0.00006012342,0.000105744824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008721252,0.000146354,0.00037910836,0.00018195792,0.00015160325,0.00008509575,0.00014427115,0.00005393153,0.0000120191135],"category_scores_gemma":[0.000100314384,0.00010654627,0.00016079412,0.00008211255,0.000080396254,0.00019700291,0.00009433135,0.00024088682,1.7862408e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012108178,0.00066247256,0.7213607,0.00009585517,0.0004544929,0.000026583582,0.03409675,0.16295198,0.000011266002,0.024728652,0.000030072113,0.05437041],"study_design_scores_gemma":[0.0013210444,0.00032030258,0.174017,0.00003494759,0.000048329035,0.000044958866,0.0050399397,0.7579604,0.00000349689,0.060355417,0.0006226557,0.00023154709],"about_ca_topic_score_codex":0.0010318835,"about_ca_topic_score_gemma":0.00007346286,"teacher_disagreement_score":0.5950084,"about_ca_system_score_codex":0.00033641263,"about_ca_system_score_gemma":0.00005062047,"threshold_uncertainty_score":0.43448308},"labels":[],"label_agreement":null},{"id":"W3194316173","doi":"10.32920/ryerson.14667921.v1","title":"Using Credit Scores to Predict and Analyze Areas of Gentrification and Urban Development in Toronto, Canada - a Geo-Spatial Approach","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Gentrification; Regent; Redevelopment; Economic geography; Geography; Regional science; Economic growth; Economics; Civil engineering; Engineering","score_opus":0.03461427444597593,"score_gpt":0.2153197264229332,"score_spread":0.18070545197695728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194316173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97346467,0.002007234,0.011874574,0.00003894087,0.00032789362,0.00036197124,0.00008037137,0.000008847349,0.011835486],"genre_scores_gemma":[0.9854609,0.00047931698,0.013682555,0.000039830964,0.00008987868,0.00002653182,0.00012337197,0.000021750564,0.0000758798],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981983,0.000017158667,0.00085569016,0.0006494817,0.000041870622,0.00023753224],"domain_scores_gemma":[0.99914795,0.000026815476,0.00035481577,0.00029812427,0.000038444177,0.000133822],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004704448,0.0002136468,0.00062954595,0.000171114,0.000049781294,0.000117508964,0.00014750147,0.00017769425,0.00012812199],"category_scores_gemma":[0.0000755068,0.00027359606,0.00003462009,0.00007580848,0.000028768207,0.00010433305,0.0003432552,0.00013974927,3.7344333e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004764493,0.000096725926,0.9857089,0.0004433761,0.00015721224,0.000004921467,0.0018980632,0.0028435385,0.000010096394,0.0012850217,0.00034714153,0.007157377],"study_design_scores_gemma":[0.00067403674,0.000022933247,0.8255298,0.00017253618,0.000028301502,0.000007425552,0.0008991895,0.16783266,0.00013720342,0.0002789442,0.0036003508,0.00081658515],"about_ca_topic_score_codex":0.812562,"about_ca_topic_score_gemma":0.8058959,"teacher_disagreement_score":0.16498911,"about_ca_system_score_codex":0.0010626523,"about_ca_system_score_gemma":0.00055456517,"threshold_uncertainty_score":0.9999716},"labels":[],"label_agreement":null},{"id":"W3195582774","doi":"","title":"Forbearance Participation Declines as Programs’ End Nears","year":2021,"lang":"en","type":"article","venue":"Liberty Street Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Forbearance; Household debt; Debt; Business; Financial system; Quarter (Canadian coin); Collateral; Credit card; Finance; Monetary economics; Economics","score_opus":0.04015591972694517,"score_gpt":0.23723033887454387,"score_spread":0.1970744191475987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195582774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84212667,0.00041823313,0.0005452127,0.0010462312,0.0010402554,0.00019676735,0.00006981069,0.00010776901,0.15444903],"genre_scores_gemma":[0.9917411,0.0014615089,0.0025591466,0.0009383644,0.00037414432,0.00006300343,0.0001892976,0.00007634296,0.0025970698],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99761826,0.000021626975,0.0009946119,0.00075090874,0.000021673088,0.000592945],"domain_scores_gemma":[0.9985647,0.00008392412,0.00044049375,0.00065530563,0.00004722879,0.00020835521],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000365189,0.00027823716,0.00058565364,0.00011533174,0.00017109785,0.00032002231,0.00027904977,0.00021015687,0.0008236328],"category_scores_gemma":[0.00015227936,0.00037343503,0.00024032974,0.00018515093,0.00009556913,0.0006057677,0.00012464591,0.0001832341,0.0014788398],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009027433,0.00046810278,0.48384008,0.0000751009,0.00023147816,0.000028585739,0.0006935534,0.0017587048,0.0000110082865,0.40588915,0.0012042195,0.10570974],"study_design_scores_gemma":[0.0022436285,0.0001979293,0.046205096,0.000049052716,0.000041767096,0.000031734624,0.0002951256,0.04329682,0.0013339301,0.20691581,0.69783837,0.0015507304],"about_ca_topic_score_codex":0.00028689852,"about_ca_topic_score_gemma":0.001389797,"teacher_disagreement_score":0.6966342,"about_ca_system_score_codex":0.00016028143,"about_ca_system_score_gemma":0.00010764511,"threshold_uncertainty_score":0.99987173},"labels":[],"label_agreement":null},{"id":"W3196121492","doi":"10.15396/eres2021_144","title":"Energy Performance of Rented Dwelling: If You Can Dream It…","year":2021,"lang":"en","type":"article","venue":"28th Annual European Real Estate Society Conference","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Renting; Economic rent; Business; Energy (signal processing); Energy consumption; Database transaction; Consumption (sociology); Quarter (Canadian coin); Marketing; Actuarial science; Economics; Microeconomics; Computer science; Statistics; Database; Engineering; Sociology","score_opus":0.02589785727636706,"score_gpt":0.20613803131493216,"score_spread":0.1802401740385651,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196121492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49921843,0.00006125784,0.0010811352,0.000414536,0.00035353226,0.00005876476,0.00047975377,0.000070445865,0.49826214],"genre_scores_gemma":[0.9534973,0.039986096,0.000916222,0.0004033004,0.0001277271,0.0000029255348,0.0002407544,0.00006273978,0.0047629336],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.997808,0.000068106754,0.00090898306,0.0006289457,0.000063896456,0.0005220785],"domain_scores_gemma":[0.998465,0.000050794693,0.0005193884,0.00052306056,0.00023935216,0.0002023774],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005457621,0.00027680158,0.0005373629,0.000060543312,0.00016990487,0.0001037879,0.0003934061,0.00009550584,0.00030842796],"category_scores_gemma":[0.000050308976,0.00034371018,0.00028025435,0.0002898055,0.00020691745,0.000259349,0.00019929273,0.00024244755,0.00015436661],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046101905,0.0015860322,0.10774492,0.0012569082,0.0012172714,0.00028801474,0.096126445,0.007336967,0.0010844528,0.080988266,0.043967742,0.65794194],"study_design_scores_gemma":[0.0025556437,0.00054951006,0.019738462,0.0002434014,0.000058656202,0.00004204605,0.009857746,0.13299344,0.0019609139,0.0014189006,0.8286067,0.0019745743],"about_ca_topic_score_codex":0.0008876439,"about_ca_topic_score_gemma":0.00011129609,"teacher_disagreement_score":0.78463894,"about_ca_system_score_codex":0.00008982729,"about_ca_system_score_gemma":0.00018339776,"threshold_uncertainty_score":0.9999015},"labels":[],"label_agreement":null},{"id":"W3196165840","doi":"10.2139/ssrn.3901594","title":"Return on Student Loans in Canada","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Brock University; Western University","funders":"","keywords":"Economics; Actuarial science; Business; Psychology","score_opus":0.010772416056199052,"score_gpt":0.19675954591777867,"score_spread":0.18598712986157961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196165840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93954706,0.0017487981,0.00018079685,0.001557788,0.00071077177,0.000043047203,0.00000914183,0.000005023329,0.05619759],"genre_scores_gemma":[0.99147075,0.006517013,0.000019726836,0.0004042596,0.00016172581,0.0000020256393,0.000003996545,0.000020671765,0.0013998004],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978035,0.000022314367,0.00048629602,0.0002414206,0.000039942788,0.0014065007],"domain_scores_gemma":[0.9995094,0.000034129906,0.00018092737,0.0001865799,0.00001787031,0.00007107201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010414761,0.00011626417,0.00027756492,0.000111954534,0.00008233114,0.0000663244,0.00020374561,0.000046801826,0.00021745196],"category_scores_gemma":[0.000055997993,0.00014060573,0.0000724343,0.00015563976,0.000009178462,0.00009802521,0.000030766074,0.0011370416,0.00008795828],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035902038,0.00014331643,0.6295337,0.000005503188,0.0001304337,0.0001010623,0.00023891963,0.00076404173,0.0000074612553,0.35762465,0.0006495583,0.010765447],"study_design_scores_gemma":[0.003164692,0.000285205,0.13178198,0.0000608448,0.000013468992,0.000553896,0.0074049584,0.0013957659,0.00012240023,0.7834651,0.07071157,0.0010401184],"about_ca_topic_score_codex":0.21910182,"about_ca_topic_score_gemma":0.97077256,"teacher_disagreement_score":0.7516708,"about_ca_system_score_codex":0.0066458164,"about_ca_system_score_gemma":0.004287388,"threshold_uncertainty_score":0.99716747},"labels":[],"label_agreement":null},{"id":"W3197255841","doi":"10.3390/jrfm14090423","title":"Anchoring and Asymmetric Information in the Real Estate Market: A Machine Learning Approach","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Counterfactual conditional; Real estate; Price premium; Anchoring; Transaction cost; Economics; Microeconomics; Database transaction; Counterfactual thinking; Computer science; Willingness to pay; Finance","score_opus":0.009990915120976048,"score_gpt":0.18285605588853465,"score_spread":0.1728651407675586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197255841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7444138,0.0013872044,0.016457371,0.00013683233,0.00029488973,0.00013286169,0.000012359341,0.00000596674,0.23715875],"genre_scores_gemma":[0.900313,0.09708271,0.00238674,0.00006147763,0.00008954681,0.0000026330022,0.0000029961095,0.0000055489195,0.00005531318],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991695,0.00003741023,0.00051357213,0.00010144704,0.000035668723,0.00014235852],"domain_scores_gemma":[0.999416,0.000052607644,0.0004016015,0.000078184734,0.000019115305,0.00003247915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017186428,0.000082933606,0.00023025856,0.00036232543,0.00010971124,0.0001505415,0.00008451266,0.0000388406,0.0000071222626],"category_scores_gemma":[0.00015031641,0.000075504475,0.00004712348,0.00030494027,0.000018912011,0.00037997973,0.00006385325,0.00025334122,0.00000276024],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006343746,0.000050823528,0.2228606,0.00008106811,0.000015971185,0.000030341054,0.002584667,0.0005571377,8.659393e-8,0.010251646,0.00015976086,0.76334447],"study_design_scores_gemma":[0.001446347,0.00008652208,0.6793616,0.00003091317,0.000027093558,0.000042497188,0.001489964,0.013385521,8.468829e-7,0.006353735,0.29757816,0.00019683944],"about_ca_topic_score_codex":0.00012573466,"about_ca_topic_score_gemma":0.000032151183,"teacher_disagreement_score":0.7631476,"about_ca_system_score_codex":0.000040072428,"about_ca_system_score_gemma":0.0000089925325,"threshold_uncertainty_score":0.3078983},"labels":[],"label_agreement":null},{"id":"W3197702270","doi":"10.3386/w26799","title":"The Secured Credit Premium and the Issuance of Secured Debt","year":2020,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Business; Debt; Financial system; Finance","score_opus":0.253067177550172,"score_gpt":0.42618233530468186,"score_spread":0.17311515775450986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197702270","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023566124,0.008264914,0.000015471334,0.006287327,0.0013901107,0.0009169798,0.00047184835,0.000015287636,0.9802815],"genre_scores_gemma":[0.9582683,0.033708017,0.00012156666,0.000048251393,0.0016222467,0.00013870448,0.00016204044,0.000084344465,0.0058465158],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9964625,0.00015255605,0.0018393837,0.000705226,0.00034794118,0.00049236644],"domain_scores_gemma":[0.9943218,0.0027696295,0.001480461,0.0005936678,0.0007113085,0.00012312138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0122008445,0.0002853418,0.0011171604,0.00038388165,0.00035400665,0.00018397659,0.0011066754,0.00041779867,0.00025395968],"category_scores_gemma":[0.0037762127,0.00023305204,0.00032944442,0.00022997062,0.0013391487,0.00017607881,0.00042252103,0.00093761174,0.00013522277],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038840147,0.000032994438,0.0015719521,0.0002524792,0.00042188377,7.920229e-7,0.0003690059,0.00013456497,0.00000401354,0.90600306,0.08967547,0.0011453573],"study_design_scores_gemma":[0.001270019,0.0000767692,0.0008326213,0.00006570431,0.00001678181,0.0000107933465,0.00010763936,0.0063918154,0.000043594486,0.72918296,0.26172906,0.00027223714],"about_ca_topic_score_codex":0.0012832901,"about_ca_topic_score_gemma":0.00038039286,"teacher_disagreement_score":0.9744349,"about_ca_system_score_codex":0.0007633985,"about_ca_system_score_gemma":0.0014229814,"threshold_uncertainty_score":0.9503586},"labels":[{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"grok","categories":[],"domain":null,"study_design":"observational","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"opus","categories":[],"domain":null,"study_design":"design_other","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"split"},{"id":"W3197934142","doi":"10.3390/jrfm14090412","title":"Testing Housing Markets for Episodes of Exuberance: Evidence from Different Polish Cities","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Unit root; Economics; Unit (ring theory); Explosive material; Unit root test; Monetary economics; Demographic economics; Econometrics; Cointegration; Geography","score_opus":0.033647974583293605,"score_gpt":0.2194685999290385,"score_spread":0.1858206253457449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197934142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95146644,0.005590503,0.0400737,0.00008564475,0.0007639291,0.000102421545,0.00007759912,0.0000048908446,0.0018348712],"genre_scores_gemma":[0.9760453,0.0113129765,0.012160616,0.000053778625,0.00034956654,0.0000038687717,0.0000019335316,0.00001586986,0.00005605627],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986819,0.000021764537,0.0008429921,0.00020835435,0.00004334347,0.00020163682],"domain_scores_gemma":[0.99840456,0.0004011977,0.00089239987,0.00014954877,0.00009423689,0.00005802829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006733554,0.00013322273,0.0005426097,0.00017051137,0.00012103024,0.0000886467,0.00013782832,0.000058744045,0.000029371853],"category_scores_gemma":[0.0007114087,0.00014302316,0.00015366402,0.000114219896,0.00004940365,0.00025116274,0.00009448755,0.00011871755,0.000001411131],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031855528,0.00013742274,0.6695266,0.00035536115,0.00010727394,0.000032976863,0.0008186802,0.00026405035,0.0000810761,0.00990741,0.00080318825,0.3176474],"study_design_scores_gemma":[0.0013268035,0.0001258425,0.8772848,0.0006992296,0.000101102836,0.0000067184556,0.0003640934,0.0012215775,0.00042869803,0.10407051,0.014074195,0.00029643165],"about_ca_topic_score_codex":0.00012520663,"about_ca_topic_score_gemma":0.00005742492,"teacher_disagreement_score":0.31735098,"about_ca_system_score_codex":0.00006305685,"about_ca_system_score_gemma":0.000023193112,"threshold_uncertainty_score":0.5832315},"labels":[],"label_agreement":null},{"id":"W3199150937","doi":"10.2139/ssrn.3523120","title":"Assessing House Prices in Canada","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Geography; Business","score_opus":0.012177080856293912,"score_gpt":0.19611305132365622,"score_spread":0.18393597046736232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199150937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96797955,0.0011579783,0.00053171674,0.00032402616,0.0006063181,0.000065868924,0.0000018645756,0.000011232578,0.029321441],"genre_scores_gemma":[0.9969551,0.0023656506,0.00009478938,0.00012697204,0.00010498851,0.0000013340789,0.0000010447465,0.00003376705,0.0003163571],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977386,0.000009899438,0.0004796,0.0002135775,0.000030185609,0.0015281321],"domain_scores_gemma":[0.9994371,0.000037304515,0.00030284212,0.00015560958,0.000010628115,0.000056507623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014854356,0.000113341295,0.00028634342,0.00017010327,0.000065059554,0.00015387304,0.00024092504,0.000048443108,0.0001628922],"category_scores_gemma":[0.000032358417,0.00013320598,0.000056140336,0.00014633476,0.000008450631,0.00055160775,0.000027080552,0.0009353332,0.0002521803],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013387467,0.0000248343,0.84826326,0.000008671773,0.000044557048,0.0000049383175,0.00007524521,0.0006520065,0.0000074936834,0.14057645,0.00007332906,0.010255813],"study_design_scores_gemma":[0.0031068225,0.00017982635,0.20786573,0.000068391986,0.000010939897,0.00031234956,0.0080020735,0.009650612,0.000029897827,0.7298759,0.0396072,0.0012902337],"about_ca_topic_score_codex":0.48469773,"about_ca_topic_score_gemma":0.9029801,"teacher_disagreement_score":0.64039755,"about_ca_system_score_codex":0.00484265,"about_ca_system_score_gemma":0.0034998683,"threshold_uncertainty_score":0.9989776},"labels":[],"label_agreement":null},{"id":"W3199745085","doi":"10.1177/08912424211036180","title":"Big Tech on the Block: Examining the Impact of Tech Campuses on Local Housing Markets in the San Francisco Bay Area","year":2021,"lang":"en","type":"article","venue":"Economic Development Quarterly","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Speculation; Real estate; Residential real estate; Transaction data; Database transaction; Business; Bay; Real estate development; Silicon valley; Finance; Economics; Geography","score_opus":0.03651660220094655,"score_gpt":0.22376710955380022,"score_spread":0.18725050735285367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199745085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94735056,0.00011458561,0.0003122404,0.00066286675,0.000580119,0.00033856684,0.000028379087,0.000026257143,0.0505864],"genre_scores_gemma":[0.9989367,0.000050220286,0.00016166705,0.00045216165,0.00013355707,0.000064224885,0.000013166476,0.00004859933,0.0001397203],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99748677,0.00011564558,0.0011658057,0.00061126467,0.00005966522,0.00056082336],"domain_scores_gemma":[0.9976736,0.0008417258,0.0005345016,0.0008695687,0.00002104774,0.00005961201],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025751258,0.00036793938,0.0005853998,0.00027910166,0.00033368313,0.0002590636,0.00072449463,0.00015070626,0.0004895885],"category_scores_gemma":[0.00007688108,0.0002480555,0.00017679647,0.0002611297,0.00016167734,0.00013686094,0.00005887663,0.0004285806,0.00037069854],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059483893,0.0012117766,0.4326085,0.00010044098,0.0011508416,0.000108424814,0.044256654,0.011014327,0.00013170515,0.0246099,0.010730725,0.4734819],"study_design_scores_gemma":[0.002253575,0.00087081286,0.93650573,0.00033260192,0.000022728287,0.00006717312,0.013490955,0.007999806,0.0010470526,0.010513414,0.025328957,0.0015672089],"about_ca_topic_score_codex":0.00026067565,"about_ca_topic_score_gemma":0.0009963497,"teacher_disagreement_score":0.50389725,"about_ca_system_score_codex":0.0007416166,"about_ca_system_score_gemma":0.00033247177,"threshold_uncertainty_score":0.9999972},"labels":[],"label_agreement":null},{"id":"W3199762387","doi":"10.1111/roiw.12534","title":"Residential Property Price Indexes: Spatial Coordinates Versus Neighborhood Dummy Variables","year":2021,"lang":"en","type":"article","venue":"Review of Income and Wealth","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Econometrics; Context (archaeology); Nonparametric statistics; Property (philosophy); Hedonic index; Hedonic regression; Regression; Economics; Regression analysis; Spatial contextual awareness; Function (biology); Interpolation (computer graphics); Price index; Nonparametric regression; Mathematics; Statistics; Computer science; Geography","score_opus":0.02219825213045146,"score_gpt":0.24087132869353378,"score_spread":0.21867307656308232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199762387","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08070379,0.45384935,0.004286878,0.005424152,0.0043394337,0.001301383,0.00030780619,0.000111651316,0.4496756],"genre_scores_gemma":[0.6295346,0.3689561,0.00048001565,0.000376565,0.00022295759,0.000012233909,0.000029734218,0.000023361612,0.00036444137],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984663,0.00004613104,0.0008427017,0.00035405948,0.00003647082,0.0002542996],"domain_scores_gemma":[0.99891824,0.0001018847,0.00048615024,0.00032240438,0.00006700389,0.00010431451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000903298,0.0001535189,0.00074574875,0.00008418035,0.00010003757,0.00004931259,0.00015206738,0.000084884035,0.00050462934],"category_scores_gemma":[0.0003727418,0.00013747094,0.00010802779,0.0002244624,0.00005198227,0.00018654592,0.00013232023,0.00013483221,0.0000736773],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048209223,0.00078998366,0.46784088,0.068187796,0.00064575835,0.00006073472,0.00077068945,0.000017014816,0.000068373076,0.22364253,0.010578864,0.2269153],"study_design_scores_gemma":[0.009738669,0.0011729719,0.09849869,0.020525437,0.00028818508,0.00010221803,0.00026090763,0.0022670282,0.0006241969,0.04659658,0.8172882,0.0026369265],"about_ca_topic_score_codex":0.0006209667,"about_ca_topic_score_gemma":0.00008285005,"teacher_disagreement_score":0.80670935,"about_ca_system_score_codex":0.00006991062,"about_ca_system_score_gemma":0.00014806673,"threshold_uncertainty_score":0.5605902},"labels":[],"label_agreement":null},{"id":"W3199793979","doi":"10.1177/0160323x211038862","title":"Municipal Takeovers: Examining State Discretion and Local Impacts in Michigan","year":2021,"lang":"en","type":"article","venue":"State and Local Government Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Discretion; Business; Bankruptcy; Finance; Context (archaeology); Revenue; Financial distress; State (computer science); Psychological intervention; Public economics; Economics; Financial system; Political science","score_opus":0.028236461912417576,"score_gpt":0.23022742053628423,"score_spread":0.20199095862386665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199793979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8824706,0.086842105,0.0063062087,0.00054912263,0.00016680271,0.00029470597,0.00017755927,0.000013990886,0.023178913],"genre_scores_gemma":[0.6700683,0.32881656,0.000104879335,0.0006242098,0.000012556862,0.000007342873,0.000012408724,0.000015172862,0.0003385602],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99858636,0.00003841087,0.0006030101,0.00040419534,0.00005368261,0.00031431887],"domain_scores_gemma":[0.99937826,0.000064882304,0.00021058036,0.00020271973,0.0000075448193,0.00013602473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006624244,0.00018019916,0.00052745274,0.000027802136,0.000054114433,0.000080714686,0.000066514585,0.00004453449,0.0002265666],"category_scores_gemma":[0.00006151994,0.00019456421,0.000048153957,0.0001213815,0.00009426335,0.0002370903,0.00009852701,0.00014991431,0.000045172757],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013911734,0.00025662937,0.093260616,0.0056066047,0.0001732582,0.0002099231,0.0039264243,0.00039415166,0.000035000394,0.0050286977,0.0005278656,0.8904417],"study_design_scores_gemma":[0.0056261937,0.0007418555,0.17089024,0.009519614,0.00012784802,0.00013164242,0.0046048113,0.0322816,0.00030226802,0.016045516,0.75697017,0.0027582545],"about_ca_topic_score_codex":0.00029775765,"about_ca_topic_score_gemma":0.0015952429,"teacher_disagreement_score":0.88768345,"about_ca_system_score_codex":0.00016056608,"about_ca_system_score_gemma":0.000022726366,"threshold_uncertainty_score":0.7934099},"labels":[],"label_agreement":null},{"id":"W3200091524","doi":"10.2139/ssrn.3255077","title":"City Characteristics, Land Prices and Volatility","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Volatility (finance); Economics; Financial economics; Econometrics; Business","score_opus":0.014676926941893896,"score_gpt":0.20583134123372032,"score_spread":0.19115441429182642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200091524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9742229,0.0007592047,0.0039504766,0.00034878336,0.00040846638,0.00005370918,0.000012906125,0.000020221416,0.020223316],"genre_scores_gemma":[0.9946786,0.0038375026,0.00012817894,0.00008605904,0.00068191753,0.0000010720938,0.0000027312176,0.000015477955,0.00056845613],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982807,0.000010829244,0.00039908415,0.00023046468,0.000019572097,0.001059362],"domain_scores_gemma":[0.9994134,0.000024786425,0.00029852983,0.00014694977,0.00003377969,0.00008258272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019260311,0.000115404764,0.00025991068,0.000100553574,0.00024722473,0.00013428781,0.00014934031,0.00007604835,0.00017796597],"category_scores_gemma":[0.00010430372,0.0001253392,0.000053895274,0.000068623005,0.00010125972,0.00025036215,0.000043569467,0.0005773035,0.000109597255],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044079214,0.000030917025,0.8966691,0.0000057391917,0.00006470668,6.106252e-7,0.00017064225,7.6059905e-8,0.0000037797163,0.08697237,0.00006308241,0.01597492],"study_design_scores_gemma":[0.0006404562,0.00028603015,0.25360656,0.000008836286,0.000011360775,0.00012319276,0.00010759726,0.002698574,0.000010954865,0.7085905,0.033586778,0.0003291661],"about_ca_topic_score_codex":0.00012597424,"about_ca_topic_score_gemma":0.0006505368,"teacher_disagreement_score":0.64306253,"about_ca_system_score_codex":0.00031232488,"about_ca_system_score_gemma":0.00015946181,"threshold_uncertainty_score":0.5111184},"labels":[],"label_agreement":null},{"id":"W3200235852","doi":"10.34989/san-2021-21","title":"Canadian housing supply elasticities","year":2021,"lang":"en","type":"preprint","venue":"Staff Analytical Notes","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Humanities; Political science; Physics; Philosophy","score_opus":0.03390991197161429,"score_gpt":0.22878633126420875,"score_spread":0.19487641929259447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200235852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88796306,0.001172407,0.005955183,0.001915263,0.002034814,0.00022943773,0.0012817287,0.00008962057,0.099358514],"genre_scores_gemma":[0.99546504,0.000440998,0.0028057054,0.00020649491,0.00044694278,0.0000068448053,0.00024552835,0.000081781865,0.0003006627],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99743456,0.00002298441,0.0008626871,0.000851217,0.000046694506,0.00078185543],"domain_scores_gemma":[0.99841195,0.00014077751,0.00026135542,0.00064344716,0.00006983602,0.00047263442],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00038826064,0.0003897658,0.0009991647,0.0005497225,0.00018221793,0.0007065088,0.00039751883,0.00052627665,0.0030671004],"category_scores_gemma":[0.0005618509,0.0005169754,0.0003801336,0.00018250792,0.00014504188,0.00014041913,0.0003789204,0.00067569345,0.00032200993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008315835,0.0006564588,0.5293505,0.0012934931,0.0016636206,0.00072046835,0.0033413607,0.06979183,0.000010345222,0.3801648,0.0048952503,0.008028701],"study_design_scores_gemma":[0.0007620203,0.00013821553,0.007967144,0.00044092405,0.00027998022,0.000021687394,0.0012723594,0.7849808,0.000052686966,0.16638751,0.034074493,0.0036222178],"about_ca_topic_score_codex":0.22853775,"about_ca_topic_score_gemma":0.17092067,"teacher_disagreement_score":0.7151889,"about_ca_system_score_codex":0.0009788314,"about_ca_system_score_gemma":0.0006698343,"threshold_uncertainty_score":0.9997282},"labels":[],"label_agreement":null},{"id":"W3200382064","doi":"10.46503/oeri9337","title":"Analysis of the Spanish real estate market as investment opportunity","year":2021,"lang":"en","type":"article","venue":"Finance Markets and Valuation","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Business; Finance; Investment (military); Portfolio; Quarter (Canadian coin); Real estate investment trust; Landlord; Financial system; Monetary economics; Economics","score_opus":0.052602249221839974,"score_gpt":0.24444227891662557,"score_spread":0.19184002969478559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200382064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6823583,0.00009339841,0.000103365266,0.00038205757,0.0002077783,0.0000944528,0.00006974579,0.000007419703,0.31668347],"genre_scores_gemma":[0.98545104,0.010145853,0.00033823118,0.00033774658,0.000029711166,0.000014227126,0.000051413328,0.000012939366,0.003618864],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884725,0.00008013364,0.000517245,0.00033290344,0.000049741146,0.0001727344],"domain_scores_gemma":[0.9989497,0.00008123547,0.0004439959,0.00040695397,0.00006544549,0.000052690517],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014117671,0.0001173956,0.00037196765,0.00013013775,0.00013319391,0.000058292444,0.00011679953,0.00007372315,0.0009207418],"category_scores_gemma":[0.0003423994,0.000117456184,0.00015352647,0.00053122686,0.00006881467,0.00014725396,0.000103857295,0.00008145177,0.000010659084],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012388418,0.00024428722,0.79289347,0.00008647833,0.0007839433,0.00000780557,0.0014613139,0.0008969894,0.000038296886,0.088806175,0.003897553,0.11075982],"study_design_scores_gemma":[0.00028348467,0.000019330877,0.89884573,0.000013290397,0.00013380067,0.0000020443429,0.000071061026,0.054587726,0.0000563517,0.014733436,0.031099465,0.00015425919],"about_ca_topic_score_codex":0.00037517332,"about_ca_topic_score_gemma":0.00025566088,"teacher_disagreement_score":0.3130646,"about_ca_system_score_codex":0.00007232581,"about_ca_system_score_gemma":0.0001085672,"threshold_uncertainty_score":0.99999255},"labels":[],"label_agreement":null},{"id":"W3201897753","doi":"10.53383/100033","title":"International Real Estate Review","year":2001,"lang":"en","type":"article","venue":"International Real Estate Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economics; Real estate; Inflation (cosmology); Stock (firearms); Interest rate; Supply and demand; Monetary economics; Agricultural economics; Financial economics; Finance; Macroeconomics; Engineering","score_opus":0.04403685254684669,"score_gpt":0.29108870701239487,"score_spread":0.24705185446554817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201897753","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018825977,0.0014173165,0.00015240816,0.0070262477,0.0018002443,0.00038314305,0.00017133488,0.00008834603,0.98707837],"genre_scores_gemma":[0.001748245,0.99515593,0.0005726751,0.0010310529,0.0003759763,0.00006923485,0.00035369827,0.000050428313,0.0006427756],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974424,0.000037567832,0.0014259607,0.00059090886,0.00013060591,0.00037251788],"domain_scores_gemma":[0.9983916,0.0000970428,0.00076142285,0.00043038424,0.00015105995,0.0001684447],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012793281,0.00028909187,0.0007374241,0.0001911928,0.0000723251,0.000115928655,0.0008043982,0.00007454114,0.0042259074],"category_scores_gemma":[0.0003539176,0.00032060264,0.0003357545,0.00023309895,0.00006479553,0.0005401843,0.00016285249,0.00022869704,0.0030118844],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016740449,0.00006665358,0.0036325734,0.00078073324,0.000104924686,0.000048187616,0.00004012191,0.000010437428,0.0000012368121,0.0008179205,0.00788053,0.9865999],"study_design_scores_gemma":[0.00028070103,0.000023450377,0.0014689688,0.002234201,0.000023931565,0.00008788885,0.000005882569,0.000767714,9.856376e-7,0.00017126814,0.9946018,0.00033321013],"about_ca_topic_score_codex":0.0013292652,"about_ca_topic_score_gemma":0.00012266745,"teacher_disagreement_score":0.9937386,"about_ca_system_score_codex":0.00040624753,"about_ca_system_score_gemma":0.000055352666,"threshold_uncertainty_score":0.9999246},"labels":[],"label_agreement":null},{"id":"W3202299309","doi":"10.53383/100319","title":"International Real Estate Review","year":2021,"lang":"en","type":"article","venue":"International Real Estate Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Valuation (finance); Residential real estate; Econometrics; Quarter (Canadian coin); Market value; Computer science; Generalization; Actuarial science; Economics; Finance; Geography; Mathematics","score_opus":0.041054218270841346,"score_gpt":0.2887458825836571,"score_spread":0.24769166431281572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202299309","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010002473,0.0025172979,0.00012296867,0.008266762,0.002112551,0.00025096865,0.0002835088,0.00006727144,0.98537844],"genre_scores_gemma":[0.0008958285,0.9951118,0.0010116809,0.0012310216,0.00032156895,0.000054528213,0.0006191271,0.000046780988,0.0007076701],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974872,0.00004910649,0.0013719519,0.00063428126,0.00012825428,0.00032922605],"domain_scores_gemma":[0.99836624,0.000109414366,0.0006661371,0.00046049253,0.00024244866,0.000155269],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010715871,0.00026363807,0.000751043,0.00012716292,0.000066543966,0.00013414102,0.0006180965,0.000072345596,0.00482615],"category_scores_gemma":[0.0005615421,0.00030542738,0.0003650592,0.00023364503,0.000054510805,0.00044638058,0.00021395975,0.00023219058,0.002248544],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008080609,0.00007288642,0.0014590455,0.0013815359,0.00013642543,0.00008369145,0.000042797048,0.00000872663,0.0000036002261,0.0013333336,0.008726971,0.9867429],"study_design_scores_gemma":[0.000257315,0.000013799115,0.0009340692,0.002697561,0.000027655698,0.000084423205,0.000008693132,0.0004951877,0.000006959773,0.00018454951,0.99497545,0.0003143212],"about_ca_topic_score_codex":0.0006349861,"about_ca_topic_score_gemma":0.00012196636,"teacher_disagreement_score":0.9925945,"about_ca_system_score_codex":0.00037485396,"about_ca_system_score_gemma":0.00011458944,"threshold_uncertainty_score":0.9999398},"labels":[],"label_agreement":null},{"id":"W3202402752","doi":"10.2148/benv.47.3.355","title":"Contagion in the Markets? Covid-19 and Housing in the Greater Toronto Area","year":2021,"lang":"en","type":"article","venue":"Built Environment","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Suburbanization; Coronavirus disease 2019 (COVID-19); Financialization; Affordable housing; Convergence (economics); Pandemic; Economics; Financial crisis; Economic geography; Economic growth; Geography; Market economy; Macroeconomics","score_opus":0.044727456354842855,"score_gpt":0.2195606821270601,"score_spread":0.17483322577221724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202402752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9616529,0.0016824519,0.00032506612,0.0044286563,0.00009093415,0.00021915368,0.000015468071,0.00000612696,0.031579282],"genre_scores_gemma":[0.9932518,0.002968164,0.00012506972,0.0034164411,0.000043847274,0.00003615862,0.000010089882,0.000012795778,0.0001356497],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897397,0.00008013926,0.00034850006,0.00033033895,0.000033480435,0.00023357435],"domain_scores_gemma":[0.9993421,0.00012541938,0.00009448094,0.00039291507,0.0000010163163,0.000044072145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012220889,0.00012448538,0.00020709477,0.000037924285,0.00008793892,0.0001052699,0.00018723014,0.00006851186,0.0006126524],"category_scores_gemma":[0.000054321332,0.00010127012,0.000046570975,0.000045979927,0.00005774934,0.00012705679,0.00008000261,0.00008976716,0.00004506005],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006755837,0.00022785521,0.973395,0.00004204553,0.00002410128,0.00016071994,0.010124937,0.0005232586,0.000027660148,0.0074792933,0.0016591453,0.0062684454],"study_design_scores_gemma":[0.0010597262,0.000029400715,0.7056923,0.000011159596,0.000006879306,0.00003633694,0.0029686575,0.0013313983,0.000011790157,0.0063111624,0.2822646,0.00027659227],"about_ca_topic_score_codex":0.0013904328,"about_ca_topic_score_gemma":0.003011026,"teacher_disagreement_score":0.28060544,"about_ca_system_score_codex":0.00039786779,"about_ca_system_score_gemma":0.0000139722015,"threshold_uncertainty_score":0.6708114},"labels":[],"label_agreement":null},{"id":"W3202889858","doi":"10.2139/ssrn.4026568","title":"Low Demand for Reverse Mortgages in Canada: Price, Knowledge or Preferences?","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"HEC Montréal; Université du Québec à Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Business; Economics; Monetary economics","score_opus":0.022224440149633835,"score_gpt":0.2181276461497224,"score_spread":0.19590320600008856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202889858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9578364,0.0060499874,0.005219326,0.00062213116,0.0009384159,0.0002179893,0.00004033129,0.000012436546,0.029063014],"genre_scores_gemma":[0.9805106,0.0142166605,0.00020887895,0.00011088818,0.0002107824,0.000014007491,0.000008380884,0.000027024604,0.0046927845],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99754673,0.000025121168,0.0005931551,0.00029558846,0.000023758163,0.0015156335],"domain_scores_gemma":[0.99931103,0.00010171484,0.00028077437,0.00016905628,0.000048643233,0.000088802495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001486138,0.00014462504,0.00038632407,0.0001337667,0.00013053868,0.000070390626,0.0002174743,0.000074281474,0.00022116772],"category_scores_gemma":[0.0002376635,0.00015358276,0.000089375564,0.00021045723,0.000015276237,0.00019976446,0.000037053956,0.0006975465,0.000033776945],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00070343644,0.00073822157,0.3348544,0.00036260142,0.00087571464,0.000117494936,0.0013356346,0.0016747076,0.00004032417,0.5255321,0.011065252,0.12270012],"study_design_scores_gemma":[0.0055729095,0.00039286193,0.031915203,0.0001588591,0.000040541323,0.00052769895,0.0040837517,0.007145242,0.00031527094,0.7741183,0.17436126,0.0013681076],"about_ca_topic_score_codex":0.041437075,"about_ca_topic_score_gemma":0.95461977,"teacher_disagreement_score":0.91318274,"about_ca_system_score_codex":0.0034286943,"about_ca_system_score_gemma":0.009766304,"threshold_uncertainty_score":0.9958474},"labels":[],"label_agreement":null},{"id":"W3203048170","doi":"10.53383/100081","title":"International Real Estate Review","year":2007,"lang":"en","type":"article","venue":"International Real Estate Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada; Concordia University","keywords":"Real estate investment trust; Equity (law); Diversification (marketing strategy); Risk–return spectrum; Initial public offering; Business; Composite index; Real estate; Portfolio; Financial economics; Monetary economics; Stock market index; Investment performance; Economics; Stock market; Finance; Stock exchange; Return on investment; Geography","score_opus":0.03834773265380261,"score_gpt":0.29866534548650614,"score_spread":0.26031761283270355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203048170","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016570176,0.0012535801,0.00044118174,0.0035848708,0.002131112,0.0003886561,0.0001675638,0.00008407144,0.99029195],"genre_scores_gemma":[0.0024710605,0.99434936,0.001041134,0.0009619035,0.00040569916,0.000031314044,0.00031260194,0.000049864608,0.00037707915],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971853,0.000026386373,0.0016484327,0.0005727166,0.00014104355,0.00042615389],"domain_scores_gemma":[0.99825084,0.00014898916,0.00084077555,0.00040595946,0.00016305302,0.00019038383],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002728362,0.00028362824,0.000709536,0.00022883326,0.000069912174,0.00009413634,0.00077226106,0.00008230111,0.002360792],"category_scores_gemma":[0.00041932458,0.00031610508,0.00033128314,0.00022373613,0.00007020752,0.00047063123,0.00016012604,0.00024827648,0.0021832336],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019047036,0.00006113277,0.0023700863,0.0010069811,0.00010023048,0.000040551575,0.000050415136,0.000004684481,0.0000022869463,0.0012330046,0.005393177,0.9897184],"study_design_scores_gemma":[0.00026433033,0.000023390388,0.0023925493,0.0021296896,0.000022164708,0.000046623194,0.000008289404,0.00028313982,0.0000040717737,0.00014256123,0.9943538,0.0003294006],"about_ca_topic_score_codex":0.0011549047,"about_ca_topic_score_gemma":0.000187249,"teacher_disagreement_score":0.99309576,"about_ca_system_score_codex":0.00047477894,"about_ca_system_score_gemma":0.00005256869,"threshold_uncertainty_score":0.99992913},"labels":[],"label_agreement":null},{"id":"W3203300306","doi":"10.1016/j.jhe.2021.101807","title":"Foreign buyer taxes and house prices in Canada: A tale of two cities","year":2021,"lang":"en","type":"article","venue":"Journal of Housing Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canada Mortgage and Housing Corporation","funders":"","keywords":"House price; Economics; Business; Monetary economics","score_opus":0.022140415641837025,"score_gpt":0.19458050108288885,"score_spread":0.17244008544105183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203300306","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891801,0.0016618996,0.00021830446,0.00021656057,0.0004723461,0.000047454185,0.00005467624,0.00000463907,0.008144038],"genre_scores_gemma":[0.99340504,0.0030450027,0.003188397,0.000151103,0.00013111951,8.775738e-7,0.0000011813904,0.000040469204,0.000036811616],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982379,0.000012546145,0.0012701085,0.00020218038,0.000022838503,0.0002544121],"domain_scores_gemma":[0.9983162,0.000121816855,0.0012291662,0.00018453522,0.00005869632,0.00008955889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005959306,0.00014935309,0.00074338546,0.00028013394,0.00004695834,0.0000825703,0.00016446727,0.000060950886,0.00007235921],"category_scores_gemma":[0.000091640104,0.00018355943,0.00010623523,0.00010687509,0.00006197653,0.0004178484,0.000074241165,0.00018292178,0.0000028162447],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009132332,0.00010997002,0.93465954,0.00015503894,0.00018990775,0.00010561532,0.0008680589,0.01182197,0.00008229604,0.046457972,0.0006405958,0.004817725],"study_design_scores_gemma":[0.018766474,0.0007266427,0.28889018,0.0010114193,0.00021958015,0.0017707872,0.012680769,0.05251634,0.014087551,0.54078007,0.0645173,0.004032878],"about_ca_topic_score_codex":0.09312226,"about_ca_topic_score_gemma":0.45842582,"teacher_disagreement_score":0.64576936,"about_ca_system_score_codex":0.00055105594,"about_ca_system_score_gemma":0.0007768025,"threshold_uncertainty_score":0.9129167},"labels":[],"label_agreement":null},{"id":"W3203486771","doi":"10.53383/100079","title":"International Real Estate Review","year":2007,"lang":"en","type":"article","venue":"International Real Estate Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Prepayment of loan; Mortgage underwriting; Real estate; Loan; Mortgage insurance; Default; Business; Market liquidity; Commercial mortgage-backed security; Non-conforming loan; Secondary market; Actuarial science; Financial system; Economics; Monetary economics; Non-performing loan; Finance; Real estate investment trust; Capitalization rate; Insurance policy","score_opus":0.03834773265380261,"score_gpt":0.29866534548650614,"score_spread":0.26031761283270355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203486771","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016570176,0.0012535801,0.00044118174,0.0035848708,0.002131112,0.0003886561,0.0001675638,0.00008407144,0.99029195],"genre_scores_gemma":[0.0024710605,0.99434936,0.001041134,0.0009619035,0.00040569916,0.000031314044,0.00031260194,0.000049864608,0.00037707915],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971853,0.000026386373,0.0016484327,0.0005727166,0.00014104355,0.00042615389],"domain_scores_gemma":[0.99825084,0.00014898916,0.00084077555,0.00040595946,0.00016305302,0.00019038383],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002728362,0.00028362824,0.000709536,0.00022883326,0.000069912174,0.00009413634,0.00077226106,0.00008230111,0.002360792],"category_scores_gemma":[0.00041932458,0.00031610508,0.00033128314,0.00022373613,0.00007020752,0.00047063123,0.00016012604,0.00024827648,0.0021832336],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019047036,0.00006113277,0.0023700863,0.0010069811,0.00010023048,0.000040551575,0.000050415136,0.000004684481,0.0000022869463,0.0012330046,0.005393177,0.9897184],"study_design_scores_gemma":[0.00026433033,0.000023390388,0.0023925493,0.0021296896,0.000022164708,0.000046623194,0.000008289404,0.00028313982,0.0000040717737,0.00014256123,0.9943538,0.0003294006],"about_ca_topic_score_codex":0.0011549047,"about_ca_topic_score_gemma":0.000187249,"teacher_disagreement_score":0.99309576,"about_ca_system_score_codex":0.00047477894,"about_ca_system_score_gemma":0.00005256869,"threshold_uncertainty_score":0.99992913},"labels":[],"label_agreement":null},{"id":"W3203613041","doi":"10.3390/jrfm14100457","title":"Analyst Forecasts during the COVID-19 Pandemic: Evidence from REITs","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Thompson Rivers University; University of Guelph","funders":"","keywords":"Real estate investment trust; Hospitality; Earnings; Pandemic; Business; Coronavirus disease 2019 (COVID-19); Dispersion (optics); Real estate; Economics; Government (linguistics); Financial economics; Econometrics; Finance; Geography; Tourism","score_opus":0.047055560212041665,"score_gpt":0.24237709789189726,"score_spread":0.1953215376798556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203613041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9682005,0.006936914,0.020992385,0.00060920435,0.0006707348,0.0000839721,0.000044232063,0.000009128225,0.0024529218],"genre_scores_gemma":[0.949298,0.0485517,0.0010661734,0.00040027063,0.00039035006,0.0000027041287,0.0000016648818,0.000011446409,0.00027769472],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987471,0.00004119988,0.00071654195,0.00024169516,0.000051118164,0.00020234175],"domain_scores_gemma":[0.99870336,0.00018327436,0.00070599926,0.00023698676,0.0000385823,0.00013178904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012378405,0.00012323397,0.00037430925,0.00015567566,0.00026731144,0.00013747466,0.00022488083,0.00006581449,0.00012627487],"category_scores_gemma":[0.00069431344,0.00010864607,0.00016343,0.00021653651,0.000049560786,0.00025274872,0.00015539024,0.00023970957,0.000023712895],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017864766,0.000049827326,0.927594,0.000075615404,0.000110357556,0.00022592187,0.001351796,0.00077498466,0.000007793311,0.0056163664,0.0013804013,0.0626343],"study_design_scores_gemma":[0.0013062762,0.000052298437,0.5790658,0.0000972247,0.00010766384,0.0001022117,0.0003997972,0.00052927417,0.000015647549,0.050958272,0.36706716,0.00029836938],"about_ca_topic_score_codex":0.00020921123,"about_ca_topic_score_gemma":0.00034462198,"teacher_disagreement_score":0.36568677,"about_ca_system_score_codex":0.00016206023,"about_ca_system_score_gemma":0.00004217597,"threshold_uncertainty_score":0.4430458},"labels":[],"label_agreement":null},{"id":"W3204081540","doi":"10.3390/urbansci5040077","title":"Why House Prices Increase in the COVID-19 Recession: A Five-Country Empirical Study on the Real Interest Rate Hypothesis","year":2021,"lang":"en","type":"article","venue":"Urban Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ceteris paribus; Economics; Casual; Interest rate; House price; Panel data; Unemployment; Coronavirus disease 2019 (COVID-19); Recession; Monetary economics; Real interest rate; Empirical research; Macroeconomics; Econometrics","score_opus":0.12453958800797917,"score_gpt":0.2994723205730237,"score_spread":0.17493273256504455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204081540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95650417,0.000064819236,0.000024962852,0.011000195,0.00028378138,0.0002445322,0.000018890043,0.00003455827,0.031824097],"genre_scores_gemma":[0.98361814,0.00014115205,0.00004899362,0.015853947,0.00009732524,0.000035230012,9.700875e-7,0.000015687785,0.00018858233],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99824446,0.0001765515,0.0004640776,0.00065952213,0.00008519892,0.0003701858],"domain_scores_gemma":[0.99749285,0.001320673,0.0002322253,0.00078529504,0.000028188282,0.000140796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055195275,0.00015577652,0.00026409246,0.00021698033,0.000506921,0.00055457803,0.0011025206,0.000052832635,0.00020956027],"category_scores_gemma":[0.0034992208,0.00010727795,0.000057778518,0.0013000352,0.00036850985,0.00033313187,0.0002101561,0.00025766174,0.00020851441],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000120412886,0.0008528908,0.9105481,0.000014403083,0.000017941738,0.00013010406,0.018140474,0.00009755707,0.000033690943,0.017444516,0.052096125,0.0005038073],"study_design_scores_gemma":[0.0014508605,0.0003556858,0.7071003,0.000045101748,0.00001676714,0.000028917853,0.019965475,0.0029560314,0.00008375682,0.01638169,0.25082728,0.00078817015],"about_ca_topic_score_codex":0.0009979004,"about_ca_topic_score_gemma":0.0015443559,"teacher_disagreement_score":0.2034478,"about_ca_system_score_codex":0.00026811293,"about_ca_system_score_gemma":0.0002589449,"threshold_uncertainty_score":0.53478086},"labels":[],"label_agreement":null},{"id":"W3205495863","doi":"10.3390/jrfm14100501","title":"Assessing Institutional Dynamics of Governance Compliance in Emerging Markets: The GCC Real Estate Sector","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; Corporate governance; Enforcement; Market liquidity; Real estate investment trust; Business; Context (archaeology); Transparency (behavior); Investment (military); Emerging markets; Index (typography); Economy; Economics; Finance; Geography; Political science","score_opus":0.022249577113664425,"score_gpt":0.22968722595853933,"score_spread":0.2074376488448749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205495863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93001807,0.00089800387,0.019859154,0.00038226703,0.0008956675,0.0000804639,0.000057148707,0.0000036594547,0.04780558],"genre_scores_gemma":[0.9491722,0.04750297,0.0031046125,0.000044455646,0.00010312469,0.0000016114612,0.000002834482,0.00000909583,0.00005907722],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9987759,0.000030342488,0.0007929447,0.00016788577,0.000054699773,0.00017825517],"domain_scores_gemma":[0.9988451,0.00007094189,0.0008583791,0.00014259921,0.00004750375,0.00003549717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010660703,0.00010600284,0.00035527453,0.00011164496,0.00012553987,0.00008701292,0.00016444351,0.000044867975,0.00003217042],"category_scores_gemma":[0.00013063433,0.00010351343,0.00009682287,0.00024976637,0.00007957038,0.00035033328,0.000097385826,0.00022186368,0.000002890854],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012828302,0.00015769954,0.24269333,0.00017657052,0.00004725121,0.00015613814,0.00071126537,0.002555016,0.0000024293913,0.13215634,0.00017775623,0.6210379],"study_design_scores_gemma":[0.001011695,0.000026926315,0.9283395,0.00021274331,0.000020348505,0.000026413596,0.0005230177,0.013484205,0.0000055267496,0.016941484,0.03922663,0.00018153906],"about_ca_topic_score_codex":0.00016630423,"about_ca_topic_score_gemma":0.0004792011,"teacher_disagreement_score":0.6856461,"about_ca_system_score_codex":0.00018946308,"about_ca_system_score_gemma":0.000052807824,"threshold_uncertainty_score":0.4221155},"labels":[],"label_agreement":null},{"id":"W3205591605","doi":"10.2139/ssrn.4705653","title":"Borrower Expectations and Mortgage Performance: Evidence from the COVID-19 Pandemic","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Forbearance; Economics; Leverage (statistics); Unemployment; Monetary economics; Debt; Adaptive expectations; Rational expectations; Finance; Macroeconomics","score_opus":0.04851707687384393,"score_gpt":0.26437504398532186,"score_spread":0.21585796711147792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205591605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9291684,0.055517092,0.008355754,0.0035449727,0.0005949027,0.000096687785,0.000020673204,0.00006263918,0.0026388622],"genre_scores_gemma":[0.9344244,0.06400805,0.000051383115,0.000352915,0.00039956652,0.000008995767,0.0000043610694,0.00002374189,0.0007266046],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983614,0.000028434717,0.0003989106,0.00028707055,0.000033938108,0.00089022896],"domain_scores_gemma":[0.9992179,0.00034703754,0.0001289369,0.0001867087,0.000011362529,0.00010804458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021389013,0.00013148722,0.00018712589,0.00011319848,0.00040726853,0.0003371155,0.00025163483,0.00007221766,0.00022790677],"category_scores_gemma":[0.00025052356,0.00011245222,0.00008921523,0.00015489105,0.00007508155,0.0005249428,0.000044778546,0.0011173063,0.0002481422],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008042127,0.00003284349,0.74076056,0.000042605305,0.0004132014,0.000011246427,0.008920131,0.00028843348,0.00003139875,0.20444366,0.003547088,0.041428402],"study_design_scores_gemma":[0.000808476,0.00025450828,0.020377384,0.0001191995,0.00007922039,0.0009774507,0.006858123,0.02486715,0.000006505132,0.8381886,0.1067059,0.0007575162],"about_ca_topic_score_codex":0.0003145392,"about_ca_topic_score_gemma":0.0008781211,"teacher_disagreement_score":0.72038317,"about_ca_system_score_codex":0.00094568625,"about_ca_system_score_gemma":0.0007461854,"threshold_uncertainty_score":0.4854202},"labels":[],"label_agreement":null},{"id":"W3206389883","doi":"10.1007/s11146-021-09867-9","title":"Does Political Uncertainty Affect Residential Development?","year":2021,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Politics; State (computer science); Economics; Affect (linguistics); Quarter (Canadian coin); Aggregate (composite); Public economics; Political science; Political economy; Geography; Sociology; Law; Mathematics","score_opus":0.017619162399858307,"score_gpt":0.22112942169373717,"score_spread":0.20351025929387886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206389883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9697343,0.00017646443,0.00015760094,0.0013034567,0.0008374108,0.000054279422,0.000025927824,0.0000075426424,0.027703004],"genre_scores_gemma":[0.9487897,0.04920902,0.00097625935,0.00018593573,0.00029248314,0.0000014451282,0.0000057617863,0.000025066316,0.0005142995],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983849,0.000038153426,0.00093569,0.00020663948,0.000022120194,0.00041248312],"domain_scores_gemma":[0.9987578,0.00018376739,0.0006448466,0.00024106802,0.000056937875,0.00011562552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012549906,0.00016924781,0.00051228656,0.00009981127,0.00020254485,0.00012798284,0.00024214241,0.00009047609,0.00006042761],"category_scores_gemma":[0.000080350816,0.0001229862,0.00011625706,0.00007739964,0.00013731183,0.00036495618,0.00010631812,0.00024323973,0.000051389794],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017838017,0.0005110699,0.17428139,0.00035115037,0.0010144417,0.00032421591,0.0121054305,0.012271864,0.000111198824,0.521996,0.0042618103,0.2709876],"study_design_scores_gemma":[0.004633964,0.00046517485,0.14326625,0.00020828107,0.00013901864,0.00110973,0.003825579,0.007548937,0.003121397,0.16505884,0.668904,0.0017188082],"about_ca_topic_score_codex":0.00023163231,"about_ca_topic_score_gemma":0.0005604845,"teacher_disagreement_score":0.6646422,"about_ca_system_score_codex":0.00017553032,"about_ca_system_score_gemma":0.0002099761,"threshold_uncertainty_score":0.50152314},"labels":[],"label_agreement":null},{"id":"W3206724110","doi":"10.2139/ssrn.3873425","title":"Possible income misstatement on mortgage loan applications: Evidence from the Canadian housing market","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canada Mortgage and Housing Corporation; Government of Canada; Toronto Metropolitan University","funders":"","keywords":"Loan; Business; Secondary mortgage market; Mortgage loan; Mortgage underwriting; Shared appreciation mortgage; Financial system; Economics; Mortgage insurance; Actuarial science; Finance","score_opus":0.025707899153716487,"score_gpt":0.23281663256429552,"score_spread":0.20710873341057903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206724110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78682953,0.03266139,0.014285272,0.020882206,0.0013168689,0.0007437218,0.00019836905,0.00007829803,0.14300433],"genre_scores_gemma":[0.9815158,0.01545336,0.00024381121,0.0007480707,0.00042240872,0.000018551695,0.00001390145,0.00003620336,0.0015478818],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975092,0.00005868673,0.00055273116,0.00036429078,0.000056932146,0.0014581579],"domain_scores_gemma":[0.9988405,0.00016908279,0.00031018522,0.00046128157,0.000048519603,0.00017044954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025699118,0.00016594831,0.00025269127,0.00013383129,0.00078691455,0.000452684,0.00044108473,0.00008569882,0.00059237523],"category_scores_gemma":[0.00014421488,0.00016417883,0.00012401241,0.0002449457,0.000043722514,0.00026952068,0.000048563143,0.001120581,0.0003394754],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001381239,0.00020301572,0.44629067,0.000026563033,0.0007188864,0.00006363159,0.0010877119,0.001314326,0.000037371792,0.4459276,0.0043101595,0.099881925],"study_design_scores_gemma":[0.0007836008,0.0001261237,0.038747597,0.00015437875,0.000038402628,0.00011172478,0.0012657703,0.0024566923,0.00007480057,0.82171166,0.13385928,0.0006699457],"about_ca_topic_score_codex":0.04014023,"about_ca_topic_score_gemma":0.4748949,"teacher_disagreement_score":0.43475467,"about_ca_system_score_codex":0.0031540084,"about_ca_system_score_gemma":0.0023202314,"threshold_uncertainty_score":0.96625155},"labels":[],"label_agreement":null},{"id":"W3207751961","doi":"","title":"The Effect of Macroeconomic Variables on Housing Price in Nigeria","year":2021,"lang":"en","type":"article","venue":"FUDMA JOURNAL OF MANAGEMENT SCIENCES","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Quarter (Canadian coin); Price index; Interest rate; Exchange rate; Volatility (finance); Consumer price index (South Africa); Wholesale price index; Speculation; Index (typography); Monetary economics; Gross domestic product; Industrial production index; Macroeconomics; Price level; Financial economics; Monetary policy; Mid price; Production (economics)","score_opus":0.014710098681928657,"score_gpt":0.2217990740883862,"score_spread":0.20708897540645754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207751961","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.860177,0.0006867304,0.00025075796,0.0005337497,0.0010205988,0.00007949858,0.0000022784307,0.0000029463815,0.13724644],"genre_scores_gemma":[0.99728364,0.0015501018,0.0007887298,0.00006981959,0.00006932736,0.0000017365943,2.4609682e-7,0.0000072058892,0.00022918674],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99869657,0.000054193042,0.0007679546,0.00019118207,0.000051767245,0.00023833355],"domain_scores_gemma":[0.9987142,0.00032051126,0.00074461213,0.00016895804,0.000016346825,0.00003535036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044177272,0.00009702402,0.00033962328,0.00028592435,0.00016617161,0.0001744407,0.00043825776,0.000029783705,0.00010054382],"category_scores_gemma":[0.00013650295,0.00007783932,0.000105739186,0.00032847087,0.00012957938,0.00024578496,0.000088863715,0.00010419028,0.00003129548],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039420548,0.00019069102,0.72679913,0.0002523169,0.0003008574,0.00012664705,0.00060284074,0.03379561,0.000072622424,0.17940657,0.0027619724,0.05529656],"study_design_scores_gemma":[0.012416672,0.0053245644,0.39000782,0.0016629376,0.00012692735,0.00016252838,0.005639241,0.02151119,0.009873494,0.2186938,0.33235735,0.0022234668],"about_ca_topic_score_codex":0.00001029495,"about_ca_topic_score_gemma":0.000028469205,"teacher_disagreement_score":0.33679128,"about_ca_system_score_codex":0.00009763021,"about_ca_system_score_gemma":0.000027607824,"threshold_uncertainty_score":0.31741956},"labels":[],"label_agreement":null},{"id":"W3208111189","doi":"10.1111/iere.12556","title":"DISTRIBUTIONAL AND HOUSING PRICE EFFECTS FROM PUBLIC TRANSIT INVESTMENT: EVIDENCE FROM VANCOUVER","year":2021,"lang":"en","type":"article","venue":"International Economic Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Bank of Canada","funders":"","keywords":"Microdata (statistics); Economics; Homogeneous; Investment (military); Demographic economics; Revealed preference; Sorting; Preference; Public use; Labour economics; Econometrics; Microeconomics; Population","score_opus":0.038229033363269146,"score_gpt":0.24184500826949618,"score_spread":0.20361597490622702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208111189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5040025,0.31377703,0.014391957,0.01816735,0.0106007885,0.0008660424,0.003259046,0.00015798677,0.13477731],"genre_scores_gemma":[0.7384303,0.25068867,0.0028924309,0.0060384613,0.00078987767,0.000067803456,0.00070619106,0.000051651798,0.00033461212],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99816173,0.000041684034,0.0008324384,0.0006889478,0.00004050514,0.00023466254],"domain_scores_gemma":[0.9986547,0.00041086494,0.00041258358,0.0003336162,0.000043734486,0.0001445057],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00043377673,0.00021249319,0.000584593,0.00007110272,0.00008752247,0.00024258695,0.00030928335,0.00008819522,0.003247316],"category_scores_gemma":[0.00039625945,0.0002657712,0.00017649222,0.000065394364,0.000064073945,0.00084208156,0.00013741158,0.00015070438,0.00077408],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012803277,0.0006256864,0.40178186,0.002196494,0.0033940014,0.00021426268,0.0007133238,0.00033159298,0.0002965327,0.321536,0.106741875,0.16204032],"study_design_scores_gemma":[0.000936484,0.00001959952,0.026196366,0.0021552676,0.00006016136,0.000011543429,0.000015624679,0.005502548,0.00017002011,0.06026386,0.90397036,0.0006981493],"about_ca_topic_score_codex":0.00047779866,"about_ca_topic_score_gemma":0.00044007768,"teacher_disagreement_score":0.7972285,"about_ca_system_score_codex":0.00054506015,"about_ca_system_score_gemma":0.0001130437,"threshold_uncertainty_score":0.99997944},"labels":[],"label_agreement":null},{"id":"W3209504255","doi":"10.11606/gtp.v16i4.178511","title":"Critical analysis of housing condition impacts on residents' well-being and social costs","year":2021,"lang":"en","type":"article","venue":"Gestão & Tecnologia de Projetos","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Economic and Social Research Council; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo; International Development Research Centre","keywords":"Quality of life (healthcare); Business; Social Welfare; Welfare; Public economics; Mental health; Psychology; Political science; Economics","score_opus":0.021088390990532276,"score_gpt":0.2647072963792445,"score_spread":0.24361890538871223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209504255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96628743,0.00017543454,0.0005547979,0.0011449459,0.00012447503,0.00009587329,0.000056112858,0.000054954187,0.031506002],"genre_scores_gemma":[0.9981323,0.000280705,0.0010013084,0.00039740247,0.00006726706,0.00000890476,0.000042764274,0.000020715866,0.000048655293],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985758,0.0000511538,0.0005233987,0.00042797942,0.00003812886,0.0003835206],"domain_scores_gemma":[0.9992044,0.00020306671,0.0002385779,0.00022872299,0.00006103483,0.0000641748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059219374,0.00015394721,0.00055462006,0.00049250753,0.00017696442,0.0001333978,0.00011657395,0.0002344873,0.00021147638],"category_scores_gemma":[0.0006063735,0.00018993393,0.00015187818,0.00044531006,0.00014664022,0.00018021709,0.000088791785,0.00021810464,0.00005957508],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012529215,0.00026390256,0.7294819,0.00017307918,0.00084208907,0.000088530265,0.0016745317,0.00011323682,0.0012475882,0.25740138,0.00060831715,0.007980141],"study_design_scores_gemma":[0.0011533868,0.00021797253,0.93371296,0.00009214105,0.00048520064,0.000024256291,0.0009060725,0.0064222617,0.005594187,0.049191218,0.0014508426,0.00074952695],"about_ca_topic_score_codex":0.000164128,"about_ca_topic_score_gemma":0.00010981827,"teacher_disagreement_score":0.20821017,"about_ca_system_score_codex":0.00024255733,"about_ca_system_score_gemma":0.00005556682,"threshold_uncertainty_score":0.7745281},"labels":[],"label_agreement":null},{"id":"W3209829542","doi":"10.1109/dsaa53316.2021.9564210","title":"CAUSALYSIS: Causal Machine Learning for Real-Estate Investment Decisions","year":2021,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Real estate; Renting; Investment (military); Return on investment; Computer science; Finance; Financial plan; Financial management; Business; Artificial intelligence; Economics; Microeconomics; Engineering; Production (economics)","score_opus":0.05169186750718842,"score_gpt":0.247508854187235,"score_spread":0.1958169866800466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209829542","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25629884,0.00027881598,0.016350755,0.0011145128,0.0006511866,0.00022226507,0.000106198146,0.00013488783,0.72484255],"genre_scores_gemma":[0.9111427,0.020809863,0.02879497,0.0014710347,0.00031226533,0.00012776579,0.00054568273,0.00013263921,0.036663074],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99853253,0.000018034825,0.0006112567,0.00046762725,0.000021212081,0.00034932097],"domain_scores_gemma":[0.99907166,0.00022416128,0.00019476883,0.00032670877,0.000046636,0.00013608794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005754953,0.0001559968,0.00041185447,0.00015196129,0.0002148311,0.00013616931,0.00012310354,0.00008584674,0.0008502104],"category_scores_gemma":[0.00042238637,0.00018311088,0.00017481105,0.0001930784,0.000027287446,0.00015476435,0.00008967763,0.00012604288,0.00043423678],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015033524,0.0006127131,0.21922542,0.00009185142,0.0008611183,0.00008586913,0.002378132,0.012437916,0.0003543089,0.65920687,0.017772112,0.08682336],"study_design_scores_gemma":[0.0013675195,0.000107058375,0.0068171946,0.000016038184,0.00003844694,0.000013987591,0.00032187733,0.10607682,0.0003622898,0.044525165,0.8397174,0.000636218],"about_ca_topic_score_codex":0.000733183,"about_ca_topic_score_gemma":0.0013722796,"teacher_disagreement_score":0.82194525,"about_ca_system_score_codex":0.00013277453,"about_ca_system_score_gemma":0.00005281986,"threshold_uncertainty_score":0.9309207},"labels":[],"label_agreement":null},{"id":"W3210679224","doi":"10.32920/ryerson.14663274.v1","title":"The costs and risks of Brownfield redevelopment versus Greenfield development : a private sector perspective on the effectiveness of community incentive packages. A case study of Waterloo, Ontario","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Brownfield; Redevelopment; Business; Incentive; Private sector; Government (linguistics); Environmental planning; Greenfield project; Finance; Economics; Engineering; Civil engineering; Economic growth; Geography","score_opus":0.11156732006417613,"score_gpt":0.2800908583456037,"score_spread":0.16852353828142758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210679224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.984047,0.000117551455,0.000062181716,0.000055507848,0.0004966823,0.0012757092,0.000028172582,0.000008918413,0.013908258],"genre_scores_gemma":[0.99943846,0.00016663213,0.00015314302,0.000014940284,0.000009665294,0.000096308,0.000009230823,0.000021072883,0.00009054672],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9978084,0.00046676846,0.001006833,0.00040354882,0.000073843716,0.00024058059],"domain_scores_gemma":[0.9956253,0.0023290324,0.00092321436,0.0008764827,0.00019386271,0.000052110023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034011845,0.00032157873,0.0009142375,0.00015185656,0.0003461409,0.00008108429,0.00046313665,0.00021432487,0.000103885104],"category_scores_gemma":[0.0002665552,0.00024134619,0.0001370827,0.00012724145,0.00019238667,0.000052936128,0.0012728258,0.0009317417,0.0000012188489],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006648293,0.004797095,0.40814728,0.0011471517,0.009124414,0.00012623344,0.53822166,0.0003689914,0.000059056485,0.022270262,0.00008195298,0.009007654],"study_design_scores_gemma":[0.0073320414,0.0023709147,0.6159083,0.0010749294,0.00023218417,0.000029630834,0.34934264,0.00014535716,0.015839,0.0060755904,0.00026675552,0.0013826108],"about_ca_topic_score_codex":0.36533976,"about_ca_topic_score_gemma":0.34899357,"teacher_disagreement_score":0.20776108,"about_ca_system_score_codex":0.0010268881,"about_ca_system_score_gemma":0.00027107866,"threshold_uncertainty_score":0.9841812},"labels":[],"label_agreement":null},{"id":"W3211641087","doi":"10.1108/jpif-03-2021-0025","title":"Money supply, exchange rates and office market dynamics: comparative evidence from the UK and Germany","year":2021,"lang":"en","type":"article","venue":"Journal of Property Investment and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Real estate; Economics; Financial crisis; Exchange rate; Money supply; Real estate investment trust; Financial market; Futures contract; Monetary economics; Financial economics; Monetary policy; Finance; Macroeconomics","score_opus":0.055089170274153984,"score_gpt":0.23615755130118485,"score_spread":0.18106838102703088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211641087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93536144,0.054458536,0.000090662026,0.0036851596,0.00023717551,0.00013384999,0.000067017325,0.000003791988,0.005962379],"genre_scores_gemma":[0.909577,0.08559478,0.0014954695,0.0011111381,0.0001480881,0.0000062439126,0.0000043242817,0.000012463396,0.002050481],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893427,0.000050083545,0.00053695147,0.00026109358,0.00003694227,0.00018063272],"domain_scores_gemma":[0.9989845,0.00022619613,0.0004889736,0.00016930093,0.00006354252,0.00006746849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006581131,0.00016109383,0.00045936086,0.000050155835,0.00016331633,0.00020671889,0.00013514026,0.00006707648,0.00009950928],"category_scores_gemma":[0.00011032345,0.00010848303,0.000050716037,0.00008555702,0.00017966126,0.00042230665,0.00012890142,0.00020179899,0.000008168197],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087339367,0.00028349733,0.8626761,0.00023115201,0.00053150184,0.00016596857,0.015187694,0.00005756421,0.00029703215,0.024544233,0.07422619,0.020925706],"study_design_scores_gemma":[0.0021536958,0.00042784697,0.769846,0.0007691366,0.00008512268,0.0002433341,0.0012205413,0.0462604,0.00030606988,0.022343423,0.15560688,0.0007375056],"about_ca_topic_score_codex":0.0002513445,"about_ca_topic_score_gemma":0.0003101064,"teacher_disagreement_score":0.092830025,"about_ca_system_score_codex":0.000070996306,"about_ca_system_score_gemma":0.00004377234,"threshold_uncertainty_score":0.44238096},"labels":[],"label_agreement":null},{"id":"W3212813491","doi":"10.1016/j.red.2025.101287","title":"Securitization and house price growth","year":2025,"lang":"en","type":"article","venue":"Review of Economic Dynamics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Securitization; House price; Business; Financial system; Economics; Monetary economics","score_opus":0.008693400125390584,"score_gpt":0.21888843400344324,"score_spread":0.21019503387805266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212813491","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.089521706,0.10959277,0.012105277,0.0039768587,0.0015866715,0.0010505856,0.00031882396,0.0001766467,0.78167063],"genre_scores_gemma":[0.44896305,0.5474085,0.0012698488,0.0014470504,0.00006531332,0.000026067017,0.00005434866,0.00005503703,0.00071075506],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99855065,0.00001425613,0.0009049938,0.00033433246,0.000009411481,0.00018634927],"domain_scores_gemma":[0.9990969,0.000071918126,0.00045431926,0.00030197058,0.000024865483,0.000050042854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068754505,0.00014991127,0.0006370258,0.00019314136,0.00005166271,0.000036720394,0.00019156543,0.00008286553,0.000120329314],"category_scores_gemma":[0.00013709384,0.00019371604,0.00011142508,0.00012310331,0.00006923093,0.0002140842,0.00008934219,0.000085553824,0.00011447705],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000048851807,0.000026030284,0.026453845,0.004229147,0.00005021843,3.1910736e-7,0.000023195118,0.000018898478,3.7375835e-7,0.9621682,0.0013747842,0.0056500877],"study_design_scores_gemma":[0.002297552,0.00013838039,0.018629652,0.0093407305,0.00016010285,0.00002479043,0.00008476379,0.21866201,0.000036432066,0.54471016,0.20420428,0.0017111477],"about_ca_topic_score_codex":0.00007451941,"about_ca_topic_score_gemma":0.00004345831,"teacher_disagreement_score":0.7809599,"about_ca_system_score_codex":0.00026670654,"about_ca_system_score_gemma":0.00004981102,"threshold_uncertainty_score":0.7899511},"labels":[],"label_agreement":null},{"id":"W3213055981","doi":"10.1515/bejm-2021-0099","title":"Revisiting the Link between House Prices and Monetary Policy","year":2021,"lang":"en","type":"article","venue":"The B E Journal of Macroeconomics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Monetary policy; House price; Economics; Inflation (cosmology); Monetary economics; Shock (circulatory); Interest rate; Inflation targeting; Liberalization; International economics; Market economy","score_opus":0.026318626965141152,"score_gpt":0.2299041129068837,"score_spread":0.20358548594174256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213055981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94038284,0.0060421396,0.00055514317,0.04089503,0.00034061723,0.00008485635,0.000031232717,0.000015732423,0.011652431],"genre_scores_gemma":[0.9762079,0.016199159,0.0009887367,0.00092627347,0.005434519,9.4539723e-7,0.0000019715778,0.000050440496,0.0001900628],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984377,0.0000537664,0.0010402789,0.00016585524,0.00002383805,0.00027853154],"domain_scores_gemma":[0.99781734,0.00048375822,0.0011696183,0.00038149065,0.000049324924,0.000098471275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024971718,0.00015675339,0.0005025233,0.00013140186,0.0002668006,0.00021490989,0.00046945174,0.000080943646,0.000061359846],"category_scores_gemma":[0.00025410825,0.00012080047,0.00015877948,0.00013052594,0.00013633934,0.00030005522,0.0001866287,0.0003932687,0.000089968344],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018367865,0.000032160027,0.39232886,0.00016562355,0.0011778716,0.00004351529,0.0060628853,0.003120338,0.00006995549,0.08662301,0.0017418822,0.5084502],"study_design_scores_gemma":[0.0020068935,0.00013766577,0.20861451,0.00011615772,0.0002126502,0.00097387756,0.0017360717,0.0037676662,0.00045031065,0.17373085,0.60738426,0.00086909253],"about_ca_topic_score_codex":0.000089694375,"about_ca_topic_score_gemma":0.000015050734,"teacher_disagreement_score":0.6056424,"about_ca_system_score_codex":0.000118903146,"about_ca_system_score_gemma":0.00010916287,"threshold_uncertainty_score":0.49261},"labels":[],"label_agreement":null},{"id":"W3214182800","doi":"","title":"Delineating the spatio-temporal pattern of local authority house prices variation in England between 2009 and 2016","year":2020,"lang":"en","type":"article","venue":"UCL Discovery (University College London)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Local authority; Variation (astronomy); House price; Quarter (Canadian coin); Period (music); Scale (ratio); Geography; Economic geography; Econometrics; Economics; Cartography; Political science; Public administration","score_opus":0.019080056365402706,"score_gpt":0.1807042169522605,"score_spread":0.1616241605868578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214182800","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9371781,0.00009219843,0.05930664,0.0013245207,0.00007951743,0.00018254333,0.000731801,0.00002289838,0.0010817896],"genre_scores_gemma":[0.9992207,0.00013888055,0.0002779957,0.00008943842,0.00009287846,4.5495608e-7,0.000022568998,0.000014110011,0.0001429537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913335,0.000039283957,0.00032088938,0.000297013,0.000033718483,0.00017577018],"domain_scores_gemma":[0.99932086,0.00013325551,0.00031265517,0.00014847225,0.000018863479,0.000065882035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041123122,0.00011886865,0.00033940977,0.00013147187,0.00013530665,0.000042383508,0.0002015756,0.00009277075,0.00003540453],"category_scores_gemma":[0.000041381907,0.00013139842,0.000062554056,0.0002848253,0.0000754163,0.0007665181,0.0001385265,0.00014967751,0.00002262744],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001628248,0.000048917387,0.9827819,0.00007155164,0.000054201817,0.0000121346375,0.0037934242,0.00063255016,0.000003519737,0.0072915624,0.00037401932,0.0047734263],"study_design_scores_gemma":[0.0031789185,0.00016209867,0.8708107,0.000040537747,0.000037296137,0.0000015305275,0.002101994,0.104265176,0.000019380992,0.0015698555,0.017370913,0.00044161658],"about_ca_topic_score_codex":0.0030495091,"about_ca_topic_score_gemma":0.0014504822,"teacher_disagreement_score":0.111971185,"about_ca_system_score_codex":0.0000894535,"about_ca_system_score_gemma":0.00004423286,"threshold_uncertainty_score":0.5358272},"labels":[],"label_agreement":null},{"id":"W3214727197","doi":"10.32920/ryerson.14654964.v1","title":"Development charges in Toronto: exploring the disconnect between planning policy and fiscal policy","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Counterintuitive; Economics; Work (physics); Capital (architecture); Fiscal policy; Policy development; Public economics; Urban planning; Finance; Economic growth; Business; Economic policy; Macroeconomics; Engineering; Geography","score_opus":0.10479233175718734,"score_gpt":0.2868258199793697,"score_spread":0.18203348822218235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214727197","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8685862,0.0012747445,0.00033515843,0.001938398,0.0004169631,0.00022015972,0.000034693734,0.000043609074,0.12715007],"genre_scores_gemma":[0.99414,0.0022155854,0.0014968835,0.00021667867,0.0011793523,0.000118642005,0.00007261389,0.000052842628,0.00050738425],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99774474,0.000027450888,0.0009268265,0.0007258974,0.000033318873,0.0005417387],"domain_scores_gemma":[0.9989555,0.0001621509,0.00029098944,0.00046412903,0.000008549716,0.00011870137],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00088835723,0.00034542033,0.0007789561,0.0002982277,0.00016902153,0.00046878477,0.00039261754,0.00020952085,0.00016461468],"category_scores_gemma":[0.00023272508,0.00033815822,0.00011109412,0.00013473949,0.00005287493,0.00033571082,0.0011485051,0.000438868,0.000025741365],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019684903,0.00007305793,0.7884547,0.00030036276,0.0003173063,0.000014287153,0.026502552,0.00047564294,0.0000029361368,0.11545262,0.00014650484,0.06824033],"study_design_scores_gemma":[0.00059686176,0.000018261017,0.9409993,0.0003323058,0.000010503636,0.0000052207834,0.004384069,0.0011075129,0.000104234234,0.0112796,0.03991003,0.0012520901],"about_ca_topic_score_codex":0.017128024,"about_ca_topic_score_gemma":0.0047458876,"teacher_disagreement_score":0.15254459,"about_ca_system_score_codex":0.0013002226,"about_ca_system_score_gemma":0.00021553053,"threshold_uncertainty_score":0.999907},"labels":[],"label_agreement":null},{"id":"W3214818776","doi":"10.5198/jtlu.2021.1854","title":"The evolution of choice set formation in dwelling and location with rising prices: A decadal panel analysis in the Greater Toronto Area","year":2021,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mixed logit; Discrete choice; Econometrics; Choice set; Logit; Nested logit; Estimation; Sample (material); Set (abstract data type); Quality (philosophy); Real estate; Logistic regression; Economics; Computer science; Statistics; Mathematics","score_opus":0.03598636821612793,"score_gpt":0.21116676179591926,"score_spread":0.17518039357979132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214818776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927867,0.0013970443,0.0054219933,0.00011127429,0.000021010599,0.00003719034,0.0000051444977,6.972265e-7,0.00021896789],"genre_scores_gemma":[0.9980964,0.0016855906,0.0001706976,0.00001424494,0.000018125662,7.0113447e-7,0.000005014441,0.0000027969436,0.0000064391593],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993976,0.000012668591,0.00042108187,0.00006743966,0.000025505215,0.00007571448],"domain_scores_gemma":[0.99952567,0.00007132796,0.00028086398,0.00006570943,0.000039523635,0.00001692338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006315801,0.00005029244,0.00018891646,0.00009110857,0.000047646525,0.000046907382,0.000040684234,0.00003290706,0.0000039705515],"category_scores_gemma":[0.000014374163,0.00003204755,0.000031795244,0.00020566455,0.00001656124,0.0004799565,0.0000022783963,0.0000693936,6.1635355e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000744323,0.000015874935,0.993709,0.000021145925,0.00004532227,0.0000048673687,0.0028762429,0.0027325193,0.0000022804354,0.00019282564,0.0000014305917,0.00032404522],"study_design_scores_gemma":[0.00048822523,0.000028418382,0.98796695,0.000039282753,0.000057782483,0.000018462595,0.001191183,0.009487408,0.000005581903,0.00020647752,0.00046074536,0.000049480688],"about_ca_topic_score_codex":0.0017366573,"about_ca_topic_score_gemma":0.037527468,"teacher_disagreement_score":0.035790812,"about_ca_system_score_codex":0.000061994026,"about_ca_system_score_gemma":0.00001679995,"threshold_uncertainty_score":0.9800351},"labels":[],"label_agreement":null},{"id":"W3215444213","doi":"10.54740/ros.2021.017","title":"The Influence of Aircraft Noise on the Prices of Residential Properties on the Example of Poznań","year":2021,"lang":"en","type":"article","venue":"Rocznik Ochrona Środowiska","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Database transaction; Quarter (Canadian coin); Noise (video); Property (philosophy); Identification (biology); Hedonic pricing; Property value; Residential property; Business; Econometrics; Hedonic regression; Transaction data; Aircraft noise; Environmental science; Economics; Computer science; Finance; Geography; Database; Real estate; Economic geography","score_opus":0.03782056080891698,"score_gpt":0.20318932951347582,"score_spread":0.16536876870455886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215444213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9754087,0.00088520074,0.000027300894,0.0024381743,0.00020475908,0.00024323458,0.00004573652,0.000010663929,0.02073627],"genre_scores_gemma":[0.9981261,0.0009059665,0.000044340522,0.00021301392,0.00008183613,0.000020592695,0.0000026370062,0.0000241175,0.0005814073],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9984234,0.00007377106,0.00082481,0.00031665468,0.00009741846,0.00026393073],"domain_scores_gemma":[0.9975461,0.00068905705,0.0006971535,0.0009253096,0.00011009342,0.000032288204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012064943,0.00016808651,0.00039724977,0.000074736374,0.0002504612,0.00006240073,0.00062825443,0.00008123646,0.00018981332],"category_scores_gemma":[0.00071232236,0.000102532875,0.00018258771,0.00024568063,0.00039625505,0.00013303374,0.00016631045,0.00019196572,0.00008513117],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007233256,0.00070486794,0.025866233,0.0004970236,0.0006112813,0.000006828774,0.0067614918,0.020758253,0.010732094,0.9214087,0.0067728832,0.0051569897],"study_design_scores_gemma":[0.0023557895,0.0013298693,0.5243098,0.0010989157,0.00013088818,0.000016661792,0.003829728,0.004883955,0.23064323,0.07607269,0.15383482,0.0014936489],"about_ca_topic_score_codex":0.0010581043,"about_ca_topic_score_gemma":0.00025516783,"teacher_disagreement_score":0.845336,"about_ca_system_score_codex":0.000057748897,"about_ca_system_score_gemma":0.00010896519,"threshold_uncertainty_score":0.41811693},"labels":[],"label_agreement":null},{"id":"W3216396730","doi":"10.1080/08965803.2021.2003507","title":"How Do the CEO Political Leanings Affect REIT Business Decisions?","year":2021,"lang":"en","type":"article","venue":"Journal of Real Estate Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University; University of Guelph","funders":"","keywords":"Leverage (statistics); Herding; Real estate; Politics; Real estate investment trust; Political risk; Corporate governance; Business; Stock (firearms); Democracy; Economics; Finance; Political science","score_opus":0.1329291388068203,"score_gpt":0.3418740494905544,"score_spread":0.20894491068373408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216396730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7565054,0.00046940646,0.0006195306,0.021340452,0.00057470705,0.00010167641,0.000018829234,0.0000089331115,0.22036105],"genre_scores_gemma":[0.97309,0.024032826,0.00066930935,0.00006379887,0.00054046995,0.000002388326,0.0000027951967,0.00003427778,0.001564169],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99802667,0.00017263618,0.00064008526,0.0002586232,0.00018855711,0.00071343157],"domain_scores_gemma":[0.9969002,0.0014151921,0.0003159446,0.00040228665,0.00068772706,0.00027863786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056148036,0.00012565812,0.0004572799,0.0003929801,0.000294708,0.00082216534,0.00049376895,0.00010936146,0.00013593133],"category_scores_gemma":[0.003829347,0.0001003752,0.00019671409,0.0007601601,0.00021602602,0.00040991334,0.00020743754,0.0008419438,0.00012815453],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067399844,0.00053983805,0.06977006,0.00018329498,0.00039490158,0.0021852837,0.0020800475,0.00032553318,0.00039612065,0.5597288,0.033242542,0.33047956],"study_design_scores_gemma":[0.0025577866,0.0005853101,0.08453975,0.00037149555,0.000030273784,0.0017040152,0.0058893133,0.0019463765,0.0006636378,0.22364591,0.6773701,0.00069607544],"about_ca_topic_score_codex":0.0002519998,"about_ca_topic_score_gemma":0.00006274304,"teacher_disagreement_score":0.6441275,"about_ca_system_score_codex":0.00032104648,"about_ca_system_score_gemma":0.000347354,"threshold_uncertainty_score":0.7928159},"labels":[],"label_agreement":null},{"id":"W3217697065","doi":"10.1108/ijhma-08-2021-0090","title":"Long-run drivers and integration in interprovincial Canadian housing price relations","year":2021,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Cointegration; Granger causality; Economics; Causality (physics); Error correction model; Short run; Metropolitan area; Financial crisis; Econometrics; Financial economics; Macroeconomics; Geography","score_opus":0.01034053415597316,"score_gpt":0.212174982706133,"score_spread":0.20183444855015983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217697065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96935016,0.0005088338,0.012107897,0.0014609287,0.0004830391,0.00003135158,0.00002374141,0.0000051224274,0.016028937],"genre_scores_gemma":[0.99676645,0.0009855836,0.0017573353,0.00022973775,0.00012481633,4.908308e-7,0.00001525354,0.000011769838,0.0001085454],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988456,0.00003525355,0.0006794893,0.00021571263,0.0000607988,0.0001631946],"domain_scores_gemma":[0.9990919,0.00008196775,0.00044187074,0.00008657161,0.00017004873,0.00012759601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007417203,0.000111441856,0.00034790006,0.0017450021,0.00009179009,0.00031550732,0.0001283017,0.000068030095,0.00021173977],"category_scores_gemma":[0.0002766245,0.00012847455,0.00012812948,0.00048108926,0.000051162682,0.00046634825,0.000051513427,0.00019628058,0.0000038129474],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006573754,0.000060600967,0.96815807,0.000005423146,0.0006184873,0.00021168512,0.0006271149,0.00096083595,0.000029891718,0.0032132044,0.00007562674,0.02597333],"study_design_scores_gemma":[0.0013735789,0.00006228986,0.91101426,0.00018221584,0.00025611641,0.00013189304,0.0007048619,0.07369802,0.000042530966,0.006737194,0.0053384444,0.00045858216],"about_ca_topic_score_codex":0.0054623173,"about_ca_topic_score_gemma":0.063284256,"teacher_disagreement_score":0.07273719,"about_ca_system_score_codex":0.00038011142,"about_ca_system_score_gemma":0.00013982438,"threshold_uncertainty_score":0.95380837},"labels":[],"label_agreement":null},{"id":"W326785786","doi":"","title":"Seeking the \"New Reality\": CRE Loans in Past and Present Tenses Aren't Any Fun. Will Future Tense Improve?","year":2012,"lang":"en","type":"article","venue":"ABA banking journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Fell; Real estate; Quarter (Canadian coin); Nonfarm payrolls; Asset (computer security); Loan; Debt; Economics; Business; Finance; History; Geography; Cartography; Agriculture","score_opus":0.022076214944866345,"score_gpt":0.21994481109477235,"score_spread":0.197868596149906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W326785786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94465655,0.0102219395,0.0023238105,0.016251227,0.003424539,0.00027276287,0.00004449078,0.000044860353,0.022759845],"genre_scores_gemma":[0.99154264,0.0023887614,0.0003540079,0.00041263681,0.0048253955,0.0000036300446,0.000003040975,0.000038397524,0.00043149324],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99829245,0.00004595136,0.00068914966,0.00026888095,0.00005173648,0.00065180985],"domain_scores_gemma":[0.9988866,0.00011577699,0.00047919422,0.0002937709,0.000026541002,0.00019814716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017349167,0.00021351795,0.00038291357,0.00021632088,0.00034970487,0.00038141813,0.0002521785,0.0001409974,0.00022280251],"category_scores_gemma":[0.00008517737,0.00018245165,0.000119980214,0.00016191129,0.00006581647,0.0007754459,0.000113071896,0.00060471275,0.000030480776],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095530966,0.0001373854,0.8985248,0.00005544166,0.00014927378,0.000031404743,0.0074293492,0.0001968367,0.000090664595,0.0113753015,0.017333029,0.06458098],"study_design_scores_gemma":[0.001310368,0.00008008771,0.40025023,0.00011791611,0.00002872617,0.00057197304,0.0012966414,0.0025934856,0.000024366058,0.02449975,0.5685888,0.00063765683],"about_ca_topic_score_codex":0.00023269292,"about_ca_topic_score_gemma":0.00012790556,"teacher_disagreement_score":0.55125576,"about_ca_system_score_codex":0.00015568189,"about_ca_system_score_gemma":0.000042216634,"threshold_uncertainty_score":0.74401623},"labels":[],"label_agreement":null},{"id":"W332889868","doi":"10.14288/1.0052286","title":"Government regulation and changes in the affordable housing stock","year":2017,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Affordable housing; Stock (firearms); Subsidy; Incentive; Business; Economics; Labour economics; Public housing; Public economics; Finance; Economic growth; Market economy","score_opus":0.01975283871130451,"score_gpt":0.16798339596929132,"score_spread":0.1482305572579868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W332889868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97212654,0.00007628943,0.00011345147,0.0004081016,0.00008729737,0.000115344985,0.000057281082,0.0000069883654,0.027008686],"genre_scores_gemma":[0.99900675,0.00038030988,0.00016974447,0.00003175374,0.000023422754,3.3486847e-7,0.000002252663,0.0000062063564,0.00037920426],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99954706,0.000008861793,0.0000896025,0.00019475672,0.000029422745,0.0001302892],"domain_scores_gemma":[0.9994468,0.000018412251,0.00022893153,0.00027257885,0.000008632164,0.000024620413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042034118,0.000024726922,0.0001634038,0.00001877773,0.00032034284,0.00025445613,0.00023920722,0.000052079988,0.000056987566],"category_scores_gemma":[0.000026078864,0.00008046413,0.00003007195,0.00003329806,0.000119044606,0.00030170844,0.000091953254,0.000056688896,0.000007747938],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008622458,0.000050317565,0.5882825,0.000038503695,0.000013417883,0.00001460625,0.00064413407,0.000016185966,0.000008494565,0.00015009362,0.0006989256,0.41007414],"study_design_scores_gemma":[0.0004301599,0.000022713833,0.99224794,0.000031097326,0.0000036127258,0.0000048447614,0.0006030141,0.0014913329,1.8039613e-7,0.0028608544,0.0022121794,0.0000920446],"about_ca_topic_score_codex":0.05821256,"about_ca_topic_score_gemma":0.4611392,"teacher_disagreement_score":0.40998212,"about_ca_system_score_codex":0.00007495508,"about_ca_system_score_gemma":0.0000063321945,"threshold_uncertainty_score":0.9480589},"labels":[],"label_agreement":null},{"id":"W336581260","doi":"","title":"City Comparisons of Shelter Costs in Canada: A Hedonic Approach *","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Regional Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Statistics Canada; McMaster University","funders":"","keywords":"Renting; Price index; Index (typography); Hedonic pricing; Geography; Econometrics; Welfare economics; Economics; Computer science; Engineering","score_opus":0.04775429969771727,"score_gpt":0.20674180469406014,"score_spread":0.15898750499634287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W336581260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95752424,0.00057996385,0.00031177112,0.0019014598,0.0002515371,0.00004830844,0.000020085483,7.889858e-7,0.03936184],"genre_scores_gemma":[0.99801517,0.00004833203,0.0015264343,0.00029394502,0.00006830499,5.4170823e-7,6.0468494e-7,0.0000047029757,0.00004197516],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988629,0.000007746007,0.00056426553,0.0001564722,0.0000615334,0.00034705893],"domain_scores_gemma":[0.9989471,0.00002949965,0.00039393597,0.00013243078,0.00006753062,0.00042953805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010065142,0.0000740006,0.00029230572,0.00048347434,0.00008709409,0.000037202255,0.0005064358,0.000029460944,0.00010320816],"category_scores_gemma":[0.00008576467,0.00008302362,0.00005476572,0.00042971564,0.00028794698,0.0003246594,0.000014409362,0.00016542102,0.000006281198],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000110299425,0.000025953837,0.956533,0.000007126483,0.000010108945,0.000013199307,0.0003011875,0.004642829,0.0000071251707,0.028143663,0.0070646666,0.0032401013],"study_design_scores_gemma":[0.00075834076,0.000052812764,0.82666504,0.00006530343,0.000004122094,0.00017843099,0.00044019482,0.021384563,0.000046004337,0.0017297693,0.1483175,0.0003578928],"about_ca_topic_score_codex":0.8673739,"about_ca_topic_score_gemma":0.98795545,"teacher_disagreement_score":0.14125285,"about_ca_system_score_codex":0.0027964294,"about_ca_system_score_gemma":0.006682328,"threshold_uncertainty_score":0.9989489},"labels":[],"label_agreement":null},{"id":"W38037959","doi":"10.1364/ao.496431","title":"The Integration of Residential Real Estate Market and Stock Markets : Assessment from ARDL Approach","year":2005,"lang":"en","type":"dissertation","venue":"Capital Markets Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Université Laval","keywords":"Real estate; Price on application; Stock market; Capitalization rate; Cointegration; Financial economics; Economics; Real estate investment trust; Index (typography); Stock market index; Portfolio; Price index; Cost approach; Monetary economics; Business; Finance; Econometrics","score_opus":0.022034177741668326,"score_gpt":0.26186373503277893,"score_spread":0.2398295572911106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W38037959","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.112691194,0.083698474,0.00006332177,0.00021343766,0.00126537,0.0013453913,0.00040670068,0.0000384319,0.8002777],"genre_scores_gemma":[0.042741176,0.9451947,0.0013448363,0.000057043584,0.00028601737,0.00018804109,0.0016532082,0.000107141386,0.008427811],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9964222,0.00021176643,0.001957787,0.0008633841,0.000121361256,0.00042352107],"domain_scores_gemma":[0.9966728,0.0003847832,0.0018906833,0.0008059781,0.000101228616,0.00014453294],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0027431692,0.0005374077,0.0014468317,0.00018563903,0.0002285882,0.0002523677,0.00052054663,0.0003418328,0.0009486303],"category_scores_gemma":[0.00033919263,0.0004989391,0.00038973524,0.00017986998,0.00011352486,0.00032974064,0.00010181329,0.00052647537,0.000045093726],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047829133,0.00016509047,0.0020921077,0.0052721365,0.0005018888,0.000006260744,0.0007048038,9.1385056e-7,0.000008580516,0.004804275,0.032116476,0.9538492],"study_design_scores_gemma":[0.0016542403,0.00016735205,0.60380036,0.0074211834,0.0007190648,0.000019965535,0.0015953191,0.00493611,0.000017999773,0.0097801415,0.36742562,0.00246266],"about_ca_topic_score_codex":0.0004012157,"about_ca_topic_score_gemma":0.00064278615,"teacher_disagreement_score":0.9513865,"about_ca_system_score_codex":0.00024582274,"about_ca_system_score_gemma":0.00014258354,"threshold_uncertainty_score":0.99996465},"labels":[],"label_agreement":null},{"id":"W405020852","doi":"","title":"Performance of Canadian real estate investment trusts","year":2006,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate investment trust; Proxy (statistics); Real estate; Financial economics; Initial public offering; Risk–return spectrum; Business; Monetary economics; Economics; Econometrics; Portfolio; Finance; Mathematics; Statistics","score_opus":0.028938383992104827,"score_gpt":0.22577070312051964,"score_spread":0.1968323191284148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W405020852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50162566,0.000025683097,1.7239164e-7,0.000036856047,0.0005500417,0.00018735665,0.000047894828,0.000018936733,0.4975074],"genre_scores_gemma":[0.9059245,0.0047549345,0.000024799496,0.0000045107786,0.00020471142,0.0000035255,0.0002963481,0.000064466694,0.08872223],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99750936,0.00008993665,0.00064236164,0.00072301197,0.00012673959,0.0009085959],"domain_scores_gemma":[0.9982357,0.00007215577,0.0005052469,0.00064735423,0.00012501478,0.00041454166],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007541327,0.00029860338,0.0006718019,0.005403155,0.00050922955,0.00010769661,0.00072096975,0.0004290693,0.00012501368],"category_scores_gemma":[0.000030845502,0.00043098617,0.00022520687,0.0014473356,0.00021018295,0.00031760742,0.0000677897,0.00072495517,0.00016292148],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010289844,0.00028267776,0.9138531,0.0011404792,0.0005395971,0.00078549405,0.0020788019,0.00035879816,0.00046992797,0.063493885,0.011740128,0.004228114],"study_design_scores_gemma":[0.001052144,0.00057794,0.6182028,0.00017233661,0.000045876754,0.000010276061,0.0011736846,0.00158889,0.0037932072,0.0014637985,0.37082335,0.001095662],"about_ca_topic_score_codex":0.8668531,"about_ca_topic_score_gemma":0.8302984,"teacher_disagreement_score":0.40878516,"about_ca_system_score_codex":0.0019638205,"about_ca_system_score_gemma":0.0012935918,"threshold_uncertainty_score":0.9998142},"labels":[],"label_agreement":null},{"id":"W410269858","doi":"10.26481/dis.20131212ac","title":"Innovation in commercial real estate","year":2013,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Partenariat Canadien Contre Le Cancer","keywords":"Real estate; Business; Finance","score_opus":0.03585262018831556,"score_gpt":0.2188998449751535,"score_spread":0.18304722478683794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W410269858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52163905,0.0000012667635,0.00016525573,0.00039316298,0.00012434498,0.00006298475,0.0000019584404,0.000016801137,0.47759515],"genre_scores_gemma":[0.9974748,0.00031387206,0.0008747733,0.0002880095,0.000055787274,0.000017348859,0.000013012352,0.000011940227,0.0009504534],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999139,0.000004347514,0.00051394687,0.00015888264,0.0000070439987,0.00017675397],"domain_scores_gemma":[0.9996965,0.000018585777,0.000117769414,0.00013094196,0.000014757643,0.000021437896],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003305562,0.000065541935,0.00016359681,0.00027318465,0.000028259412,0.00006556744,0.00008513218,0.000054896784,0.0017347193],"category_scores_gemma":[0.000033795724,0.00008020561,0.000019772622,0.00028122915,0.00001850958,0.00030095346,0.000026758336,0.00007229873,0.0026462555],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000067961046,0.000057485282,0.61263365,0.000007330085,0.0000059554272,8.2717816e-7,0.0004934865,0.000048282,0.000015576377,0.24791537,0.0050589116,0.13375631],"study_design_scores_gemma":[0.0006861239,0.000028763714,0.869989,0.0000038027385,5.609629e-7,9.0632125e-7,0.00011652902,0.010533768,0.00003194512,0.07357624,0.044730965,0.0003013914],"about_ca_topic_score_codex":0.0067748534,"about_ca_topic_score_gemma":0.0006604823,"teacher_disagreement_score":0.4766447,"about_ca_system_score_codex":0.000072487026,"about_ca_system_score_gemma":0.000007779155,"threshold_uncertainty_score":0.9998391},"labels":[],"label_agreement":null},{"id":"W41329454","doi":"","title":"Modeling Type Choice Outcomes of Housing Development Projects in the City of Hamilton, Canada","year":2010,"lang":"en","type":"article","venue":"Transportation Research Board 89th Annual MeetingTransportation Research Board","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Multinomial logistic regression; Land use; Census; Subdivision; Geography; Geographic information system; Regional science; Computer science; Civil engineering; Cartography; Engineering; Population","score_opus":0.10578280904534973,"score_gpt":0.33583821852869566,"score_spread":0.23005540948334594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W41329454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942688,0.00007486625,0.00023845938,0.00055678864,0.0002569285,0.0009552151,0.00018367308,0.000023413706,0.0034419089],"genre_scores_gemma":[0.9973823,0.00013097894,0.0020272492,0.000045930974,0.000055333,0.00009363933,0.000121210534,0.000046650068,0.00009671185],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9952749,0.00023092689,0.0019247043,0.0006593631,0.0009116959,0.0009984351],"domain_scores_gemma":[0.9965987,0.0009265134,0.00034739074,0.00055615854,0.0013804634,0.0001907654],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009279801,0.00025325676,0.0006661944,0.0010554167,0.0003734266,0.00006717335,0.0008206496,0.00022119873,0.0001408318],"category_scores_gemma":[0.00082934735,0.00024771193,0.00011621338,0.0017638169,0.00037592056,0.0004099705,0.000012199486,0.0014736082,0.000012165383],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027292935,0.00023625235,0.97346103,0.00032576776,0.000057409063,0.00001601073,0.014677611,0.0034639642,0.0002724306,0.006333731,0.00015222671,0.0007306206],"study_design_scores_gemma":[0.00096529134,0.0001555399,0.9814813,0.000093801544,0.0000074650056,1.3927126e-7,0.00572876,0.002776452,0.00078707346,0.0012762526,0.0063943123,0.00033360074],"about_ca_topic_score_codex":0.64423066,"about_ca_topic_score_gemma":0.9371912,"teacher_disagreement_score":0.2929605,"about_ca_system_score_codex":0.00018593183,"about_ca_system_score_gemma":0.0013558781,"threshold_uncertainty_score":0.9999975},"labels":[],"label_agreement":null},{"id":"W4200153122","doi":"10.3390/jrfm14120601","title":"ICT Adoption and Stock Market Development in Africa: An Application of the Panel ARDL Bounds Testing Procedure","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock market; Cointegration; Economics; Stock exchange; Credence; Stock market bubble; Panel data; Stock (firearms); Financial economics; Information and Communications Technology; Stock market index; Nexus (standard); Business; Econometrics; Finance","score_opus":0.02748815038168073,"score_gpt":0.19599974622928412,"score_spread":0.1685115958476034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200153122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869289,0.0007273559,0.0063928636,0.000056718207,0.00014259604,0.00012758578,0.000005977809,0.0000027847734,0.005615259],"genre_scores_gemma":[0.9930868,0.0012715694,0.0054801474,0.000024044644,0.000056521,0.0000056615368,8.3995786e-7,0.0000072866337,0.00006713471],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991154,0.000018077739,0.0005562854,0.0001531934,0.000034534296,0.0001224985],"domain_scores_gemma":[0.9992398,0.00002753813,0.00054790993,0.000107604385,0.000042115833,0.000035018955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008796175,0.000080465834,0.0002280445,0.0001296144,0.00009593657,0.000044228702,0.00008968345,0.000047870362,0.0000046460696],"category_scores_gemma":[0.0001235736,0.00007604066,0.000032646298,0.0002116513,0.000027458625,0.00014501749,0.000076526056,0.00012318623,7.1653426e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005998902,0.00014164772,0.64422107,0.00014862478,0.0000167703,0.0000060085895,0.0014287477,0.00018551016,0.000008473765,0.0063615977,0.000100070945,0.34732148],"study_design_scores_gemma":[0.00048311614,0.000039270508,0.95931685,0.000055064786,0.000014456159,0.000010673851,0.00026148144,0.0017016251,0.000010601074,0.008564994,0.029439736,0.00010212915],"about_ca_topic_score_codex":0.000017293025,"about_ca_topic_score_gemma":0.00008829955,"teacher_disagreement_score":0.34721935,"about_ca_system_score_codex":0.00006596627,"about_ca_system_score_gemma":0.000037020258,"threshold_uncertainty_score":0.31008482},"labels":[],"label_agreement":null},{"id":"W4200173380","doi":"10.1016/j.spl.2021.109331","title":"Estimating social effects in a multilayered Linear-in-Means model with network data","year":2021,"lang":"en","type":"article","venue":"Statistics & Probability Letters","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; Toronto Metropolitan University","funders":"","keywords":"Monte Carlo method; Econometrics; Credit card; Mathematics; Sample (material); Identification (biology); Social network (sociolinguistics); Linear model; Estimation; Statistics; Computer science; Economics; Social media","score_opus":0.04723625109332475,"score_gpt":0.25003492202799193,"score_spread":0.2027986709346672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200173380","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25228995,0.00002993104,0.74470645,0.0010616345,0.00022257626,0.00030936522,0.0004714288,0.000028002021,0.00088066614],"genre_scores_gemma":[0.26027846,0.0000068404497,0.73868155,0.00062385073,0.00013407395,0.000025593023,0.00020021992,0.000034797165,0.000014630568],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978622,0.000059468326,0.00071787246,0.0007840269,0.000044153643,0.0005322462],"domain_scores_gemma":[0.99878037,0.00028263705,0.00022463746,0.0006260079,0.000025705926,0.000060612812],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010025924,0.0002049762,0.0005387368,0.000078174206,0.000104524974,0.00009018323,0.00031136064,0.000088532615,0.000025350737],"category_scores_gemma":[0.0005116114,0.0002575036,0.00003365447,0.00027669693,0.000106749016,0.00022126235,0.0001991866,0.0003210469,0.000027834376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015018904,0.00036584373,0.3269655,0.0006537564,0.00006867743,0.00017974632,0.0021307033,0.57331324,0.000020629574,0.086837135,0.0026082394,0.0067063007],"study_design_scores_gemma":[0.0007988133,0.000013508275,0.011725376,0.00004098172,0.0000065629165,0.0000018275962,0.00000452261,0.84004563,0.000001412453,0.14695926,0.00013467766,0.00026745652],"about_ca_topic_score_codex":0.00028902947,"about_ca_topic_score_gemma":0.0038294282,"teacher_disagreement_score":0.31524014,"about_ca_system_score_codex":0.00027010197,"about_ca_system_score_gemma":0.00010613322,"threshold_uncertainty_score":0.9999877},"labels":[],"label_agreement":null},{"id":"W4200264291","doi":"10.1016/j.ijforecast.2021.12.012","title":"A flexible framework for intervention analysis applied to credit-card usage during the coronavirus pandemic","year":2021,"lang":"en","type":"article","venue":"International Journal of Forecasting","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; Toronto Metropolitan University","funders":"","keywords":"Multinomial logistic regression; Econometrics; Multinomial distribution; Credit card; Distribution (mathematics); Counterfactual thinking; Intervention (counseling); Economics; Categorical variable; Markov chain; Actuarial science; Computer science; Statistics; Mathematics; Finance","score_opus":0.08727238293481902,"score_gpt":0.30350242735110033,"score_spread":0.2162300444162813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200264291","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67411786,0.00021901052,0.31922138,0.00038977442,0.0016059427,0.00008077092,0.000068018446,0.00001104268,0.0042862194],"genre_scores_gemma":[0.9871284,0.00006005597,0.01145774,0.00017165966,0.0009054936,0.000009891164,0.000011665096,0.000016993468,0.00023813559],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986856,0.000012313969,0.00086074794,0.00018749342,0.000072167604,0.00018165052],"domain_scores_gemma":[0.9985385,0.00026078778,0.0007991864,0.0001325251,0.00020438225,0.000064615655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010330187,0.00010068171,0.00032337173,0.00033606327,0.0001062121,0.0002111363,0.00037781583,0.00006362897,0.00020592098],"category_scores_gemma":[0.00067362067,0.00009929569,0.00044579015,0.00026827303,0.00001886209,0.00016704726,0.000098616525,0.00019246875,0.000020069223],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001431307,0.00035528906,0.5130341,0.00009997765,0.008037054,0.00009857759,0.0037191692,0.15067756,0.00054892263,0.098178364,0.0005171529,0.22330253],"study_design_scores_gemma":[0.008083961,0.0005595651,0.28404632,0.0009601538,0.0010064972,0.0011990021,0.0033235927,0.102324486,0.0047254246,0.49267522,0.09920369,0.0018920989],"about_ca_topic_score_codex":0.00002452664,"about_ca_topic_score_gemma":0.00005387671,"teacher_disagreement_score":0.39449683,"about_ca_system_score_codex":0.0002512982,"about_ca_system_score_gemma":0.000026799775,"threshold_uncertainty_score":0.40491608},"labels":[],"label_agreement":null},{"id":"W4200296702","doi":"10.1016/j.enbuild.2021.111759","title":"Using WiFi connection counts and camera-based occupancy counts to estimate and predict building occupancy","year":2021,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Occupancy; Ground truth; Correlation; Statistics; Computer science; Real-time computing; Engineering; Mathematics; Artificial intelligence; Architectural engineering","score_opus":0.025469262782294996,"score_gpt":0.2547049379011543,"score_spread":0.22923567511885928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200296702","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95360905,0.0019042513,0.015183288,0.00013567234,0.00050371385,0.00003955904,0.000035979567,0.00003800333,0.028550455],"genre_scores_gemma":[0.99160784,0.00050960085,0.0067608897,0.00040804435,0.00010552221,0.0000029140847,0.000007125277,0.000018769846,0.0005792911],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99940574,0.000005420934,0.00016621208,0.00026174102,0.00001557882,0.00014533372],"domain_scores_gemma":[0.999735,0.000027021615,0.000066877554,0.00008423692,0.000016492006,0.000070367125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013763303,0.0000944687,0.00017643067,0.00010536934,0.000115727846,0.00009535359,0.000029707797,0.00006834155,0.00010281156],"category_scores_gemma":[0.00004221711,0.00011657955,0.000018395338,0.00010155921,0.000031568245,0.000100521975,0.00003375751,0.000045180645,0.000009729882],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001236695,0.00009520864,0.34712327,0.0002488135,0.00015629656,0.000043250915,0.0003245667,0.0011612286,0.0015575568,0.5421163,0.009008494,0.098041385],"study_design_scores_gemma":[0.0008772423,0.00006544063,0.009400056,0.0001499434,0.00003189752,0.00006755298,0.000028939136,0.07964347,0.0011989567,0.01332326,0.89455783,0.0006554346],"about_ca_topic_score_codex":0.00007623762,"about_ca_topic_score_gemma":0.000009615582,"teacher_disagreement_score":0.8855493,"about_ca_system_score_codex":0.000031681368,"about_ca_system_score_gemma":0.000019468776,"threshold_uncertainty_score":0.47539762},"labels":[],"label_agreement":null},{"id":"W4200534856","doi":"10.33423/jabe.v23i7.4863","title":"The Market Comparisons Appraisal Effect on the Housing Boom Cycles","year":2021,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Boom; Underwriting; Real estate; Economics; Market price; Extrapolation; Loan; House price; Value (mathematics); Market value; Monetary economics; Business; Financial economics; Finance","score_opus":0.019978633992649916,"score_gpt":0.21393753276905403,"score_spread":0.1939588987764041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200534856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.895245,0.000798939,0.000477253,0.003868097,0.0014727786,0.000119148346,0.000015012273,0.000010943549,0.0979928],"genre_scores_gemma":[0.99466056,0.0038144665,0.00037087328,0.0004615111,0.00055945705,0.0000066105513,0.000002663359,0.000041403975,0.00008242959],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984522,0.000026165111,0.0009096901,0.00026121203,0.000029186194,0.00032153254],"domain_scores_gemma":[0.9974633,0.0010993828,0.00093519525,0.000352037,0.00005855917,0.00009151335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018164911,0.00022240494,0.0006157967,0.00009972046,0.00055124203,0.0006078944,0.0003159217,0.00010771783,0.000094247196],"category_scores_gemma":[0.00018639483,0.00015959096,0.00015831632,0.00014741246,0.00016167467,0.00017446176,0.00011567471,0.00033039675,0.000044585755],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002178386,0.00038314026,0.0459763,0.00017538783,0.0012114152,0.000044586784,0.0007211138,0.01005852,0.00014086699,0.79300904,0.04549215,0.100609064],"study_design_scores_gemma":[0.0029818616,0.00019200904,0.07304262,0.00010315231,0.00011572388,0.00018436178,0.0011034283,0.0121110035,0.0008394161,0.04841642,0.85994184,0.00096815714],"about_ca_topic_score_codex":0.000013000956,"about_ca_topic_score_gemma":0.000047639074,"teacher_disagreement_score":0.81444967,"about_ca_system_score_codex":0.000092358976,"about_ca_system_score_gemma":0.00007097309,"threshold_uncertainty_score":0.6507931},"labels":[],"label_agreement":null},{"id":"W4206180622","doi":"10.1111/ajae.12285","title":"Staying afloat: The effect of algae contamination on <scp>Lake Erie</scp> housing prices","year":2022,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Algal bloom; Water quality; Algae; Surface runoff; Nutrient; Eutrophication; Oceanography; Hydrology (agriculture); Ecology; Phytoplankton; Biology; Geology","score_opus":0.007781785738602396,"score_gpt":0.18407429699560474,"score_spread":0.17629251125700235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206180622","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894927,0.00019012105,0.000084050924,0.00043452944,0.00091176655,0.00020434136,0.0001561985,0.0000131554125,0.008513135],"genre_scores_gemma":[0.9988247,0.00034182915,0.0002166237,0.0001937009,0.00026252426,0.0000117838235,0.000018651956,0.000029293087,0.000100899684],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99799144,0.000108725384,0.0012222981,0.00027191415,0.000062717445,0.00034291367],"domain_scores_gemma":[0.9953473,0.00078106514,0.0034829087,0.00023065197,0.00005592937,0.00010215333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017074707,0.00025297533,0.0008799364,0.00024634151,0.00036015816,0.00012132534,0.0005673584,0.00004148856,0.0000914136],"category_scores_gemma":[0.00019776047,0.00019088159,0.00037121077,0.00031336086,0.00018131753,0.00040198685,0.00012959963,0.00044962327,0.000020631034],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010797972,0.0006987333,0.3671654,0.00020038817,0.0026257709,0.000037739846,0.017635603,0.3761519,0.00065561215,0.039689966,0.01460109,0.17945804],"study_design_scores_gemma":[0.0067113303,0.019452928,0.5639483,0.00013984067,0.0003367218,0.0006134118,0.033243284,0.0053174393,0.0034058362,0.0027859837,0.36274448,0.0013004643],"about_ca_topic_score_codex":0.000056330846,"about_ca_topic_score_gemma":0.000108300206,"teacher_disagreement_score":0.37083444,"about_ca_system_score_codex":0.0004034767,"about_ca_system_score_gemma":0.00003860629,"threshold_uncertainty_score":0.77839255},"labels":[],"label_agreement":null},{"id":"W4206267762","doi":"10.1111/ruso.12427","title":"The Changing Landscape of Affordable Housing in the Rural and Urban United States, 1990–2016*","year":2022,"lang":"en","type":"article","venue":"Rural Sociology","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Amenity; Affordable housing; Population; Geography; Population growth; Socioeconomics; Metropolitan area; Economic growth; Rural area; Business; Economics; Demography; Political science; Finance","score_opus":0.014795333619497546,"score_gpt":0.20437768341772528,"score_spread":0.18958234979822772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206267762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99274385,0.0019437214,0.000021073878,0.0020280047,0.00026746487,0.00011465845,0.000041683583,0.0000119064,0.0028276327],"genre_scores_gemma":[0.99803853,0.0012099756,0.000018962866,0.00042776475,0.000062122555,0.00002196495,0.000063039275,0.000012379801,0.00014528308],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991231,0.000085919,0.00032121822,0.00011492599,0.00001712104,0.0003377259],"domain_scores_gemma":[0.9993385,0.00027155125,0.00020550423,0.00015964538,0.0000062213185,0.000018551244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013886564,0.00008681554,0.00022760409,0.00016382983,0.000418257,0.000028490917,0.0002261905,0.000049235357,0.000083491366],"category_scores_gemma":[0.000031418018,0.000068434805,0.000049026185,0.00020162204,0.00015960066,0.000056264813,0.00014160275,0.0002158852,0.000007877424],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019055043,0.00010387867,0.6983445,0.000041055373,0.00011717804,0.0000073466645,0.074132614,0.0038397722,0.000025582693,0.20847274,0.00855917,0.006165567],"study_design_scores_gemma":[0.002514967,0.0004720838,0.057423577,0.000022776761,0.000022173206,0.000038350714,0.13918279,0.0668018,0.000009500224,0.1400211,0.59272605,0.0007648235],"about_ca_topic_score_codex":0.0007457416,"about_ca_topic_score_gemma":0.000068490444,"teacher_disagreement_score":0.64092094,"about_ca_system_score_codex":0.000064766005,"about_ca_system_score_gemma":0.000012852407,"threshold_uncertainty_score":0.3216937},"labels":[],"label_agreement":null},{"id":"W4206902551","doi":"10.1080/10511482.2021.2010119","title":"Measuring America’s Affordability Problem: Comparing Alternative Measurements of Affordable Housing","year":2022,"lang":"en","type":"article","venue":"Housing Policy Debate","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Affordable housing; Economics; Yield (engineering); Demographic economics; Wage; Household income; Survey of Income and Program Participation; Public economics; Econometrics; Labour economics; Economic growth; Geography","score_opus":0.12715260719961616,"score_gpt":0.26000098040681935,"score_spread":0.1328483732072032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206902551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84947234,0.00019049924,0.003203414,0.00031377707,0.00056725054,0.000393122,0.000067970774,0.00013913668,0.1456525],"genre_scores_gemma":[0.9948752,0.000047933463,0.0043741143,0.00021291408,0.00017851523,0.000047693302,0.000015640118,0.00009192157,0.00015608112],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99724096,0.00010024716,0.0011314572,0.0006292532,0.00015180378,0.0007462931],"domain_scores_gemma":[0.99812424,0.000060045368,0.0010437798,0.0005708107,0.00006332618,0.00013781765],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016310107,0.00030545023,0.00084542495,0.00066438457,0.0005678322,0.00011373509,0.00053023535,0.00005476016,0.00017956918],"category_scores_gemma":[0.00015032111,0.00040926205,0.00022800588,0.0006958223,0.00015060048,0.0003446616,0.0005070176,0.00032390092,0.00005241078],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034383498,0.00085238257,0.7228108,0.00038976726,0.0004829765,0.000012956336,0.008154104,0.23747668,0.0010909312,0.012988578,0.0004823753,0.014914613],"study_design_scores_gemma":[0.017395677,0.0018648427,0.056750752,0.0007302135,0.00032639148,0.00015320569,0.0044911946,0.32875782,0.02679986,0.35228264,0.20061463,0.009832743],"about_ca_topic_score_codex":0.010860306,"about_ca_topic_score_gemma":0.00026283445,"teacher_disagreement_score":0.66606003,"about_ca_system_score_codex":0.0012184515,"about_ca_system_score_gemma":0.00014675745,"threshold_uncertainty_score":0.9998359},"labels":[],"label_agreement":null},{"id":"W4210308673","doi":"10.32920/19027607.v1","title":"Using tax increment financing to develop affordable housing in Toronto","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Affordable housing; Finance; Plan (archaeology); Business; Multitude; State (computer science); Economic growth; Political science; Economics; Geography; Computer science","score_opus":0.07154912608898649,"score_gpt":0.26831151318117236,"score_spread":0.19676238709218585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210308673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6541118,0.0007526993,0.015984645,0.00023123887,0.0025160336,0.0007674789,0.0001228852,0.00009441871,0.3254188],"genre_scores_gemma":[0.9088572,0.00059138093,0.08731562,0.00077068136,0.00026182618,0.00015068041,0.0000714179,0.00015143956,0.0018297293],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99661434,0.000033933462,0.0014476588,0.0010912161,0.00005860897,0.0007542181],"domain_scores_gemma":[0.9984724,0.00004560343,0.0005503611,0.0007466675,0.000041323507,0.00014368126],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020362162,0.00042434054,0.0009959098,0.0004610653,0.00019326227,0.0002645683,0.0006103839,0.00026518485,0.005290748],"category_scores_gemma":[0.00019383915,0.00061176845,0.00013506928,0.0003905481,0.000018091261,0.00028422585,0.0024708598,0.0005149503,0.00013350633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002665967,0.0006590769,0.3474134,0.0010013629,0.00033148535,0.0001070351,0.010332585,0.49792832,0.000103692146,0.11212119,0.0079806615,0.021754587],"study_design_scores_gemma":[0.0029099307,0.00024107132,0.031104792,0.00083082827,0.000055586537,0.000016214335,0.006339513,0.22872508,0.00033185043,0.05706023,0.66456217,0.007822749],"about_ca_topic_score_codex":0.086376354,"about_ca_topic_score_gemma":0.038718514,"teacher_disagreement_score":0.6565815,"about_ca_system_score_codex":0.008150509,"about_ca_system_score_gemma":0.0003418819,"threshold_uncertainty_score":0.9996334},"labels":[],"label_agreement":null},{"id":"W4210446625","doi":"10.1111/caje.12561","title":"Innis Lecture: Returns on student loans in Canada","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Brock University; Western University","funders":"","keywords":"Loan; Residence; Rate of return; Variation (astronomy); Attendance; Ex-ante; Economics; Subsidy; Actuarial science; Demographic economics; Business; Finance; Economic growth; Macroeconomics","score_opus":0.09120749599583292,"score_gpt":0.17102937866449638,"score_spread":0.07982188266866347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210446625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96971744,0.0006563863,0.000027487189,0.0039397385,0.003478637,0.00015844786,0.0003410394,0.0000042341544,0.021676559],"genre_scores_gemma":[0.99580944,0.0005287707,0.00019180933,0.0025124971,0.0004789177,0.000009456957,0.000024645644,0.00007965089,0.00036483156],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99641496,0.00005190893,0.0018397457,0.00061044976,0.000002550581,0.0010803615],"domain_scores_gemma":[0.9966306,0.00016950611,0.00095852086,0.00062046584,0.000115144474,0.0015057443],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008652639,0.00038100366,0.0011626222,0.00089076237,0.00014086011,0.0002036888,0.0006824871,0.00021651581,0.001125631],"category_scores_gemma":[0.00033086844,0.0005428459,0.00026089916,0.0002837641,0.000077587734,0.0003452414,0.000035025914,0.0006869519,0.00007417576],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00009526837,0.00007228887,0.3867335,0.000059285358,0.00033354468,0.0023394416,0.0027387016,0.04547919,0.000005841116,0.5541308,0.003600535,0.004411571],"study_design_scores_gemma":[0.0042915414,0.0005880147,0.08331997,0.00033086666,0.00005099757,0.0013620823,0.002877311,0.0038890664,0.00047178802,0.6871007,0.2130271,0.0026905187],"about_ca_topic_score_codex":0.9691626,"about_ca_topic_score_gemma":0.999975,"teacher_disagreement_score":0.30341354,"about_ca_system_score_codex":0.012586793,"about_ca_system_score_gemma":0.009853532,"threshold_uncertainty_score":0.99978745},"labels":[],"label_agreement":null},{"id":"W4210464096","doi":"10.5325/jinfopoli.7.1.0120","title":"A Question of Scarcity: Spectrum and Canada's Urban Core","year":2017,"lang":"en","type":"article","venue":"Journal of Information Policy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Calgary","funders":"","keywords":"Scarcity; Spectrum management; Core (optical fiber); Frequency allocation; Element (criminal law); Spectrum (functional analysis); Regional science; Political science; Broad spectrum; Economic geography; Telecommunications; Law and economics; Sociology; Economics; Engineering; Law; Market economy","score_opus":0.01738532455350581,"score_gpt":0.22583976599585237,"score_spread":0.20845444144234657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210464096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9406876,0.000056261848,0.00042070582,0.002755673,0.00031562554,0.000040156436,0.00004167843,0.0000022638314,0.05568003],"genre_scores_gemma":[0.999026,0.0003209444,0.00022545866,0.00018728676,0.0001791339,2.4094368e-7,0.0000016402967,0.0000031622324,0.00005614459],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992202,0.0000027808753,0.00062834314,0.000028992952,0.00002698794,0.00009271552],"domain_scores_gemma":[0.9979478,0.000012791335,0.0017905773,0.00013815207,0.000046776353,0.00006391886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046147592,0.000052124316,0.00020622317,0.0002440836,0.000086070875,0.000095148156,0.00014560635,0.000036948586,0.000020502148],"category_scores_gemma":[0.00037178636,0.000056069322,0.00003854279,0.000025856009,0.00003854975,0.0010751793,0.000029418252,0.000076885066,0.000006074494],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006544777,0.000017379425,0.6585411,0.00011547256,0.000056576097,0.0000016373432,0.0013012197,0.00012331095,0.0000035744745,0.31846657,0.008004901,0.013302829],"study_design_scores_gemma":[0.0011027749,0.000116242685,0.842372,0.00006484131,0.000008214746,0.000073397714,0.00013189533,0.0029414475,0.00010651622,0.038383897,0.114508726,0.00019005434],"about_ca_topic_score_codex":0.21935304,"about_ca_topic_score_gemma":0.02591013,"teacher_disagreement_score":0.28008267,"about_ca_system_score_codex":0.00015473638,"about_ca_system_score_gemma":0.00020932453,"threshold_uncertainty_score":0.99186444},"labels":[],"label_agreement":null},{"id":"W4210799345","doi":"10.32920/19027607","title":"Using tax increment financing to develop affordable housing in Toronto","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Affordable housing; Finance; Plan (archaeology); Multitude; Business; State (computer science); Economic growth; Political science; Economics; Geography; Computer science","score_opus":0.07154912608898649,"score_gpt":0.26831151318117236,"score_spread":0.19676238709218585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210799345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6541118,0.0007526993,0.015984645,0.00023123887,0.0025160336,0.0007674789,0.0001228852,0.00009441871,0.3254188],"genre_scores_gemma":[0.9088572,0.00059138093,0.08731562,0.00077068136,0.00026182618,0.00015068041,0.0000714179,0.00015143956,0.0018297293],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99661434,0.000033933462,0.0014476588,0.0010912161,0.00005860897,0.0007542181],"domain_scores_gemma":[0.9984724,0.00004560343,0.0005503611,0.0007466675,0.000041323507,0.00014368126],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020362162,0.00042434054,0.0009959098,0.0004610653,0.00019326227,0.0002645683,0.0006103839,0.00026518485,0.005290748],"category_scores_gemma":[0.00019383915,0.00061176845,0.00013506928,0.0003905481,0.000018091261,0.00028422585,0.0024708598,0.0005149503,0.00013350633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002665967,0.0006590769,0.3474134,0.0010013629,0.00033148535,0.0001070351,0.010332585,0.49792832,0.000103692146,0.11212119,0.0079806615,0.021754587],"study_design_scores_gemma":[0.0029099307,0.00024107132,0.031104792,0.00083082827,0.000055586537,0.000016214335,0.006339513,0.22872508,0.00033185043,0.05706023,0.66456217,0.007822749],"about_ca_topic_score_codex":0.086376354,"about_ca_topic_score_gemma":0.038718514,"teacher_disagreement_score":0.6565815,"about_ca_system_score_codex":0.008150509,"about_ca_system_score_gemma":0.0003418819,"threshold_uncertainty_score":0.9996334},"labels":[],"label_agreement":null},{"id":"W4210802835","doi":"10.53383/100331","title":"European Mortgage Markets Versus Institutions","year":2021,"lang":"en","type":"article","venue":"International Real Estate Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Monash University; University of Reading; Trent University; University of South Alabama; Nottingham Trent University","keywords":"Mortgage insurance; Business; Financial system; Shared appreciation mortgage; Transparency (behavior); Financial market; Secondary mortgage market; Enforcement; Institutional investor; European union; Creditor; Index (typography); Finance; Debt; Corporate governance; Economic policy; Insurance policy; Political science","score_opus":0.0979231490525584,"score_gpt":0.30429554162620454,"score_spread":0.20637239257364615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210802835","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005198676,0.0010383436,0.0002596153,0.0014049775,0.0016671926,0.00008073915,0.00011331262,0.000042855107,0.99019426],"genre_scores_gemma":[0.049742326,0.9483948,0.0005675863,0.00030540122,0.0001668064,0.00000932055,0.000184869,0.000022380735,0.0006065151],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988999,0.000037535618,0.00055310345,0.00030390147,0.000037531216,0.00016804703],"domain_scores_gemma":[0.9993185,0.00006171177,0.00021116115,0.0002620285,0.000064743486,0.0000818924],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006087715,0.00011531183,0.00026536253,0.000068200876,0.00006776714,0.00007904157,0.0002418659,0.000025588042,0.0016144981],"category_scores_gemma":[0.0004093216,0.00014064496,0.00015319156,0.0001324169,0.000037439284,0.0002209006,0.00010734733,0.00011623678,0.0024491982],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022462853,0.000082558334,0.0014780143,0.0002612815,0.00012625061,0.0001719756,0.000051679526,0.000038472655,0.0000034909556,0.03189669,0.0032871803,0.96257997],"study_design_scores_gemma":[0.00032150594,0.0000074374493,0.0032440654,0.00024049073,0.00000989278,0.000020783287,0.0000057858147,0.00025538818,0.000003359532,0.00017664318,0.995561,0.0001536716],"about_ca_topic_score_codex":0.00009009073,"about_ca_topic_score_gemma":0.00006059843,"teacher_disagreement_score":0.9922738,"about_ca_system_score_codex":0.00015737953,"about_ca_system_score_gemma":0.000065455875,"threshold_uncertainty_score":0.99929816},"labels":[],"label_agreement":null},{"id":"W4210991435","doi":"10.33423/jabe.v24i1.4949","title":"Dividends, Return and Consumption","year":2022,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Dividend; Dividend yield; Stock (firearms); Equity (law); Monetary economics; Empirical evidence; Empirical research; Consumption (sociology); Rate of return; Cash; Financial economics; Cash flow; Dividend policy; Finance","score_opus":0.024282362185970217,"score_gpt":0.18921456023425737,"score_spread":0.16493219804828715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210991435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9846725,0.00091745245,0.00022503964,0.00060850626,0.0006389767,0.00007618789,0.00003533169,0.000008022196,0.012818008],"genre_scores_gemma":[0.9928469,0.0059491247,0.00060083973,0.00030308188,0.00019776126,0.000006061481,0.000005257865,0.00002480504,0.00006614959],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988325,0.000006062903,0.00074256695,0.00021687335,0.000018025534,0.00018396169],"domain_scores_gemma":[0.9988583,0.000048562146,0.000847684,0.00013093757,0.00002275422,0.0000917809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089809793,0.00013269791,0.000465526,0.00026264295,0.0002494266,0.00013629199,0.00014322984,0.000053730644,0.00027416885],"category_scores_gemma":[0.000016661623,0.00016104085,0.000053241565,0.00007972315,0.000072474584,0.00027025808,0.00017630367,0.00021469514,0.000010506523],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014925237,0.00038255262,0.38657787,0.00035462395,0.00048673185,0.000032989683,0.0029126417,0.0069566695,0.00017506239,0.5076806,0.0047764545,0.08817127],"study_design_scores_gemma":[0.0054107187,0.00025723808,0.16333188,0.00002876151,0.000084671396,0.0008129889,0.0012634606,0.011900643,0.000053039304,0.27678144,0.5387951,0.0012800652],"about_ca_topic_score_codex":0.000021116,"about_ca_topic_score_gemma":0.000009093232,"teacher_disagreement_score":0.53401864,"about_ca_system_score_codex":0.00011420028,"about_ca_system_score_gemma":0.000028680333,"threshold_uncertainty_score":0.65670556},"labels":[],"label_agreement":null},{"id":"W4211038430","doi":"10.1080/13504851.2022.2030458","title":"Forecasts of US housing starts: assessing the usefulness of nowcast data","year":2022,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Nowcasting; Warning system; Econometrics; Computer science; Economics; Meteorology; Geography","score_opus":0.0713465033761909,"score_gpt":0.2234087686810394,"score_spread":0.1520622653048485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211038430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97922164,0.00006653823,0.0019104131,0.000945158,0.0007238649,0.00027748992,0.0005736943,0.00002343861,0.016257785],"genre_scores_gemma":[0.99714756,0.00006370527,0.0012715991,0.001140344,0.00012556034,0.000034397282,0.00013640315,0.00006844403,0.000011998183],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99773663,0.000027136792,0.0011908418,0.0006081353,0.00003742565,0.00039983555],"domain_scores_gemma":[0.99703467,0.00019814634,0.0012928759,0.0014087316,0.000011044484,0.00005451538],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017438735,0.00022089618,0.0006517072,0.00024307938,0.00034268844,0.00010651252,0.0013083398,0.000055812336,0.00029829866],"category_scores_gemma":[0.000025848136,0.00026189635,0.00012400259,0.0001999023,0.00020914571,0.0003941277,0.0009698247,0.0002781268,0.000026448219],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040800468,0.0008063655,0.24925356,0.0004703364,0.0013436403,0.000010553749,0.0062719346,0.3648325,0.002935512,0.29591972,0.013939715,0.0638082],"study_design_scores_gemma":[0.0102818515,0.00033691755,0.083965376,0.00009592148,0.0003577096,0.000103831495,0.012144128,0.29205978,0.006876838,0.06487988,0.52312547,0.0057722675],"about_ca_topic_score_codex":0.0003362535,"about_ca_topic_score_gemma":0.00006691438,"teacher_disagreement_score":0.5091858,"about_ca_system_score_codex":0.00023045992,"about_ca_system_score_gemma":0.000057007397,"threshold_uncertainty_score":0.9999833},"labels":[],"label_agreement":null},{"id":"W4211173914","doi":"10.5539/ijef.v14n3p66","title":"Preventive Maintenance for Mortgage Loans of Low-Income Borrowers","year":2022,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Default; Loan; Business; Shared appreciation mortgage; Foreclosure; Finance; Mortgage underwriting; Actuarial science; Secondary mortgage market; Economics; Mortgage insurance; Insurance policy","score_opus":0.013602656956536088,"score_gpt":0.21498120301946183,"score_spread":0.20137854606292574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211173914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875749,0.00070097425,0.0021546471,0.0008821046,0.002350458,0.00014865393,0.0006771045,0.0000028705024,0.0055083157],"genre_scores_gemma":[0.9929396,0.004358424,0.0018738168,0.00015426862,0.00016493046,0.0000149988855,0.000008230858,0.00002167803,0.0004640676],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985569,0.000010269251,0.0010180057,0.00021312111,0.00002701678,0.00017469218],"domain_scores_gemma":[0.99803895,0.00009200852,0.001591847,0.00013274784,0.00010813138,0.00003629329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008918244,0.00011832778,0.00043130812,0.00025768572,0.00008551313,0.000043726825,0.00048149822,0.000038827195,0.000088009234],"category_scores_gemma":[0.00007738763,0.0001499532,0.00022780754,0.00005119443,0.00007411396,0.0002894153,0.00013662183,0.00015533561,0.0000033516128],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001100649,0.0003961951,0.025429433,0.000060695464,0.0005713421,0.000024655983,0.0012916016,0.057525963,0.000031102958,0.89529705,0.0019513994,0.016319897],"study_design_scores_gemma":[0.0062999134,0.00097383896,0.015838102,0.00012663819,0.000032045315,0.00024917265,0.0006273979,0.07867989,0.00040714757,0.40586457,0.49008158,0.0008196887],"about_ca_topic_score_codex":0.000024329947,"about_ca_topic_score_gemma":0.000010699067,"teacher_disagreement_score":0.48943248,"about_ca_system_score_codex":0.00021676137,"about_ca_system_score_gemma":0.00006609214,"threshold_uncertainty_score":0.6114914},"labels":[],"label_agreement":null},{"id":"W4211189555","doi":"10.1111/caje.12544","title":"Consumer credit usage in Canada during the coronavirus pandemic","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Bank of Canada; Toronto Metropolitan University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Recession; Economics; Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Debt; Welfare economics; 2019-20 coronavirus outbreak; Political science; Humanities; Keynesian economics; Art; Finance; Medicine; Virology","score_opus":0.12569175972715388,"score_gpt":0.1738958081867546,"score_spread":0.04820404845960072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211189555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98755896,0.0011655564,0.0000051219545,0.0011763553,0.0036096238,0.00026033082,0.0010990037,0.00000512018,0.005119922],"genre_scores_gemma":[0.99765074,0.0004190755,0.000038676775,0.0008674233,0.00035434446,0.000036234615,0.000018281471,0.00007197483,0.00054324],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99664557,0.00008137869,0.0017298281,0.00046296918,0.0000033798422,0.0010768892],"domain_scores_gemma":[0.9969985,0.00021293081,0.001230779,0.0005470284,0.000043434942,0.00096734986],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001702975,0.00031284062,0.00086999487,0.0007501701,0.00054401613,0.00013010106,0.0011643467,0.0000950627,0.0025015953],"category_scores_gemma":[0.00016191752,0.0003975336,0.00021871127,0.00023571464,0.00013859004,0.00036952482,0.000091390946,0.00092191785,0.000034529072],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00012959656,0.000017915383,0.851249,0.00003012849,0.0001708647,0.00047295768,0.001426799,0.046940442,0.0000030172669,0.09579721,0.0014296825,0.00233238],"study_design_scores_gemma":[0.0038578156,0.0002940015,0.15475227,0.00006261174,0.00004132131,0.0028620171,0.0039220923,0.008739344,0.000018509194,0.17179543,0.65172726,0.001927316],"about_ca_topic_score_codex":0.99081564,"about_ca_topic_score_gemma":0.9999412,"teacher_disagreement_score":0.6964967,"about_ca_system_score_codex":0.017079111,"about_ca_system_score_gemma":0.006473638,"threshold_uncertainty_score":0.99984765},"labels":[],"label_agreement":null},{"id":"W4212899628","doi":"10.15396/eres2012_043","title":"Do landlords discriminate against families with children?","year":2012,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Landlord; Spelling; Prejudice (legal term); Psychology; Demographic economics; Socioeconomic status; Tone (literature); Class (philosophy); Social psychology; Demography; Sociology; Economics; Political science; Law; Computer science; Linguistics","score_opus":0.02127373279790703,"score_gpt":0.19851662942967166,"score_spread":0.17724289663176462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212899628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5678857,0.00021535487,0.00048595958,0.00008544167,0.00018848627,0.000065918175,0.00001858306,0.000046935464,0.43100762],"genre_scores_gemma":[0.9966574,0.00053578004,0.0011217914,0.00026811886,0.00021874641,0.000009707235,0.0000239881,0.000032275024,0.0011322121],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99903554,0.000005687097,0.00028729485,0.0002326641,0.000017270004,0.0004215455],"domain_scores_gemma":[0.99944633,0.000018536984,0.00011869871,0.00028780272,0.000008445681,0.00012018473],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00033786305,0.00015329503,0.0002731736,0.00013748302,0.00009594452,0.000089039604,0.00014643178,0.00006371296,0.00041710804],"category_scores_gemma":[0.00001570957,0.0001372718,0.0000614137,0.00010635527,0.000053785116,0.00042765166,0.00004990185,0.00009358312,0.0011071234],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014734014,0.000069448615,0.9229098,0.0000067089773,0.00003980464,3.9379728e-7,0.0004635089,0.000022457802,0.0000011826878,0.06932177,0.0007857107,0.006364462],"study_design_scores_gemma":[0.0013608978,0.0001030383,0.91671294,0.000019642135,0.000018526169,0.000016223492,0.00072976615,0.00051911233,0.00011339344,0.0051547294,0.07422869,0.0010230129],"about_ca_topic_score_codex":0.00015456253,"about_ca_topic_score_gemma":0.000048706,"teacher_disagreement_score":0.42987543,"about_ca_system_score_codex":0.000050307695,"about_ca_system_score_gemma":0.0000075818652,"threshold_uncertainty_score":0.9996706},"labels":[],"label_agreement":null},{"id":"W4212940786","doi":"10.55365/1923.x2021.19.20","title":"Sentiment Measurement and its Relationship with Housing Prices: Review of Contemporary Dimensions","year":2021,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; Extant taxon; Sentiment analysis; Market sentiment; Stock market; Financial economics; Stock (firearms); Economics; Index (typography); Field (mathematics); Econometrics; Finance; Computer science; History; Artificial intelligence","score_opus":0.0839655461751853,"score_gpt":0.23352190393324349,"score_spread":0.1495563577580582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212940786","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09484458,0.8886077,0.00008857582,0.0012359773,0.00009339489,0.00039639688,0.0000702487,0.000005839213,0.014657292],"genre_scores_gemma":[0.29733863,0.7009402,0.0011074176,0.00052511186,0.000013065404,0.000012196709,0.000011268794,0.000015206999,0.000036924313],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982603,0.000023743189,0.0011349506,0.00039770422,0.000025779671,0.00015752195],"domain_scores_gemma":[0.9983561,0.00006791046,0.0010594805,0.00033504673,0.00013014802,0.000051296658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013011637,0.00017314592,0.00097522914,0.00006420978,0.000073160394,0.000018131652,0.000087328684,0.00005335575,0.00003089227],"category_scores_gemma":[0.00017712536,0.00018462476,0.00010197566,0.00014516518,0.0000642919,0.00021126439,0.000082339895,0.00009236528,0.0000086458085],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050138668,0.00036837172,0.039604906,0.14102027,0.00038262145,0.000012556939,0.0002241418,0.00010281926,0.000021064472,0.8014103,0.0020787322,0.014724051],"study_design_scores_gemma":[0.0026051374,0.00037004612,0.022417672,0.21912222,0.0002940256,0.000098595054,0.0000797806,0.004354315,0.0005948404,0.01558889,0.73271734,0.0017571251],"about_ca_topic_score_codex":0.000014026242,"about_ca_topic_score_gemma":0.000010486366,"teacher_disagreement_score":0.78582144,"about_ca_system_score_codex":0.000060241196,"about_ca_system_score_gemma":0.00013239737,"threshold_uncertainty_score":0.7528779},"labels":[],"label_agreement":null},{"id":"W4213009512","doi":"10.1093/restud/rdab018","title":"Default Effects And Follow-On Behaviour: Evidence From An Electricity Pricing Program","year":2021,"lang":"en","type":"article","venue":"The Review of Economic Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Lawrence Berkeley National Laboratory; Office of Electricity; Office of Electricity Delivery and Energy Reliability; U.S. Department of Energy","keywords":"Default; Consumption (sociology); Electricity; Context (archaeology); Economics; Welfare; Microeconomics; Sample (material); Business; Finance; Market economy; Engineering","score_opus":0.06464969107254369,"score_gpt":0.3207642778810029,"score_spread":0.2561145868084592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213009512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61798716,0.37794206,0.000012341471,0.00083809625,0.00033892496,0.00043193283,0.000018784769,0.00002838936,0.0024023151],"genre_scores_gemma":[0.5241681,0.47452897,0.00047229725,0.0005557954,0.00011445453,0.00007867784,0.000006927636,0.000021428305,0.000053362714],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99837124,0.000081066086,0.0007732134,0.00049584365,0.000021786875,0.00025684986],"domain_scores_gemma":[0.9980408,0.0007742956,0.00053327245,0.0005557516,0.000037930626,0.00005797339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011570515,0.00021274852,0.0010233923,0.00005677614,0.00015546512,0.000047848825,0.00023949692,0.000052280422,0.000056813118],"category_scores_gemma":[0.00071694463,0.00018539412,0.00017017132,0.00010631363,0.00011307378,0.00021514855,0.00015143197,0.00014005312,0.000099161174],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014527465,0.0007335406,0.4857245,0.01429798,0.0027550186,0.00003153568,0.0038816964,0.00012197715,0.00007353613,0.030518655,0.00760412,0.45411214],"study_design_scores_gemma":[0.006126572,0.004432604,0.6796925,0.06957983,0.0028778908,0.000106920874,0.0017017511,0.010551308,0.0068777404,0.14225152,0.06987954,0.0059218155],"about_ca_topic_score_codex":0.00021942361,"about_ca_topic_score_gemma":0.00013151774,"teacher_disagreement_score":0.44819033,"about_ca_system_score_codex":0.00016462155,"about_ca_system_score_gemma":0.000037436173,"threshold_uncertainty_score":0.7560153},"labels":[],"label_agreement":null},{"id":"W4213249434","doi":"10.1111/1540-6229.12323","title":"Issue Information","year":2021,"lang":"en","type":"paratext","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University","keywords":"Citation; Computer science; Real estate; Library science; Information retrieval; Political science; Law","score_opus":0.017765781754856973,"score_gpt":0.21395426072991103,"score_spread":0.19618847897505406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213249434","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009515034,0.0002853337,0.0002785134,0.00038771858,0.013226243,0.00030288848,0.002253261,0.00006404392,0.973687],"genre_scores_gemma":[0.004078072,0.6900256,0.0021590039,0.0013771635,0.0037545445,0.00012804609,0.014070245,0.00037542504,0.2840319],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965722,0.00002398382,0.001935686,0.000730138,0.000023130662,0.0007148755],"domain_scores_gemma":[0.9971698,0.00008098286,0.0015276488,0.000911397,0.0000651451,0.00024504884],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000559206,0.00057824334,0.0014129721,0.0005136551,0.0001739057,0.0007033933,0.0005339806,0.00075406075,0.01479778],"category_scores_gemma":[0.000056946596,0.0008376123,0.00039807122,0.00016317755,0.000090918154,0.0012119961,0.00023287763,0.0005563026,0.19276832],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006296609,0.000102283404,0.0003811627,0.0005672203,0.00039719362,0.000008279861,0.001518877,0.0066291457,5.3809e-7,0.016071541,0.8388098,0.13545102],"study_design_scores_gemma":[0.00046574298,0.000036681842,0.00008316997,0.000035687117,0.000013740162,0.000010372533,0.00014891093,0.0032787554,0.000013070453,0.0012706468,0.993751,0.0008922109],"about_ca_topic_score_codex":0.0019867176,"about_ca_topic_score_gemma":0.00021503167,"teacher_disagreement_score":0.6897403,"about_ca_system_score_codex":0.00083300483,"about_ca_system_score_gemma":0.00029474276,"threshold_uncertainty_score":0.9994075},"labels":[],"label_agreement":null},{"id":"W4214534893","doi":"10.46991/sbmp/2020.3.1.038","title":"ASSESSMENT AND FOLLOW-UP PROCESS IN HOUSING FIRST MENTAL HEALTH CASE MANAGEMENT APPROACH","year":2020,"lang":"en","type":"article","venue":"Modern Psychology","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mental health; Government (linguistics); Meaning (existential); Process (computing); Public relations; Psychology; Quality (philosophy); Subject (documents); Quality of life (healthcare); Sociology; Applied psychology; Business; Political science; Psychiatry; Computer science; Psychotherapist","score_opus":0.067039755763977,"score_gpt":0.3093155128433114,"score_spread":0.24227575707933438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214534893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8934385,0.0005723469,0.024609407,0.008005851,0.00045311812,0.0005164334,0.00004058243,0.00005617843,0.072307564],"genre_scores_gemma":[0.9930101,0.000612959,0.0033009325,0.0029116757,0.000048009693,0.00003397048,0.00001837268,0.00003180242,0.00003215954],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984756,0.000019018744,0.00049907865,0.0006370094,0.000019046316,0.0003502441],"domain_scores_gemma":[0.9994789,0.000008733241,0.0001837055,0.00019715268,0.0000043376,0.00012718017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003877696,0.00015503843,0.000398764,0.00015257444,0.00013662229,0.00005362541,0.00012819767,0.00007989822,0.000041394134],"category_scores_gemma":[0.000003970617,0.00019929811,0.00004251683,0.00013838652,0.000044104683,0.00012414323,0.00007468164,0.00016269524,0.000026179265],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005642363,0.0014691625,0.75396705,0.0017165218,0.00039890225,0.00082175917,0.047117334,0.004063148,0.0000066045855,0.041864347,0.0076445695,0.14036638],"study_design_scores_gemma":[0.01741368,0.00072479725,0.12077205,0.00008033049,0.00002156165,0.00078964006,0.0034508281,0.76630884,0.000002066106,0.047767118,0.040793836,0.0018752768],"about_ca_topic_score_codex":0.00007378875,"about_ca_topic_score_gemma":0.0001181768,"teacher_disagreement_score":0.76224566,"about_ca_system_score_codex":0.00013250054,"about_ca_system_score_gemma":0.000011877759,"threshold_uncertainty_score":0.8127141},"labels":[],"label_agreement":null},{"id":"W4214736592","doi":"10.53383/100233","title":"International Real Estate Review","year":2017,"lang":"en","type":"article","venue":"International Real Estate Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Volatility (finance); Real estate investment trust; Portfolio; Equity (law); Financial economics; Real estate; Economics; Econometrics; Volatility risk premium; Implied volatility; Business; Finance","score_opus":0.056937084221612685,"score_gpt":0.3147410023974612,"score_spread":0.2578039181758485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214736592","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013434176,0.0008126905,0.00006980967,0.009103088,0.0025090051,0.00036581993,0.00026593727,0.000059023376,0.9854712],"genre_scores_gemma":[0.0037663213,0.99375564,0.00058452017,0.0005843735,0.00040104214,0.00006345218,0.00022353513,0.000046937326,0.0005741732],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99766684,0.000027860226,0.0012534503,0.00058984087,0.00012299874,0.000338992],"domain_scores_gemma":[0.99739933,0.000072841256,0.0013876214,0.00082773675,0.00015297084,0.00015950369],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001432004,0.0002775757,0.00075228274,0.00013046434,0.00020657659,0.00031538817,0.0015004181,0.00007459091,0.0022707526],"category_scores_gemma":[0.00076405786,0.00030524764,0.0003418348,0.000061020437,0.00011241432,0.00080868526,0.000310636,0.00022828825,0.0024540066],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011705075,0.000047359103,0.00387362,0.0010427922,0.00011081631,0.00002892463,0.000033772176,0.0000032803391,0.0000011908618,0.0011630752,0.0069308016,0.9867527],"study_design_scores_gemma":[0.00029303582,0.000018855497,0.0046611875,0.0028536024,0.00002495508,0.000029869592,0.0000034764828,0.0005811308,0.0000018959887,0.00021323319,0.9909968,0.00032199864],"about_ca_topic_score_codex":0.0021379814,"about_ca_topic_score_gemma":0.00016406117,"teacher_disagreement_score":0.9929429,"about_ca_system_score_codex":0.00032296602,"about_ca_system_score_gemma":0.00005954151,"threshold_uncertainty_score":0.99994},"labels":[],"label_agreement":null},{"id":"W4214775863","doi":"10.1016/j.jclepro.2022.131019","title":"Advancing energy efficiency through green bond policy: Multifamily green mortgage backed securities issuance","year":2022,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Bond; Leverage (statistics); Business; Debt; Secondary mortgage market; Bond market; Collateral; Finance; Financial system; Mortgage insurance","score_opus":0.01872068548583024,"score_gpt":0.22628257175036015,"score_spread":0.2075618862645299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214775863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96360594,0.0025132427,0.0018339737,0.0059973295,0.0034920734,0.00014196707,0.00003912815,0.0000434887,0.022332836],"genre_scores_gemma":[0.9914365,0.0012461523,0.001081484,0.00055737095,0.0023507385,0.0000078499315,0.000007174118,0.00005229886,0.0032604206],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980684,0.00005005035,0.0010547695,0.0003531906,0.00010576647,0.00036781823],"domain_scores_gemma":[0.99827254,0.00003407815,0.001226845,0.00030831769,0.00008079306,0.000077428835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013177985,0.00018098662,0.00048079842,0.0004356361,0.0003887097,0.00005593409,0.0003226173,0.00005681717,0.0001939464],"category_scores_gemma":[0.00015631484,0.00021638403,0.0001943589,0.0003520205,0.000076330056,0.00085109065,0.00011938588,0.0003842068,0.0000171955],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030298498,0.003649956,0.13451166,0.0010084421,0.0012624243,0.00045418978,0.063217595,0.2518579,0.0051227077,0.14285964,0.13986787,0.25315773],"study_design_scores_gemma":[0.001184598,0.0005052362,0.0057432074,0.000038503207,0.000027402442,0.00058460084,0.0024530168,0.00461363,0.0010419781,0.050078493,0.93309915,0.0006302005],"about_ca_topic_score_codex":0.0018790017,"about_ca_topic_score_gemma":0.00011265398,"teacher_disagreement_score":0.79323125,"about_ca_system_score_codex":0.000483633,"about_ca_system_score_gemma":0.000090874964,"threshold_uncertainty_score":0.8823885},"labels":[],"label_agreement":null},{"id":"W4214915295","doi":"10.3390/jrfm15030114","title":"COVID-19 and the Mortgage Market in Luxembourg","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Shock (circulatory); Household debt; Coronavirus disease 2019 (COVID-19); Debt; Government (linguistics); Population; Financial crisis; Economics; Household income; Business; Demographic economics; Financial system; Monetary economics; Finance; Geography; Macroeconomics","score_opus":0.012322046900398311,"score_gpt":0.2003209309165665,"score_spread":0.18799888401616818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214915295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.904488,0.0070463484,0.007196131,0.0034267388,0.0014086097,0.0004786528,0.0000842545,0.000012013807,0.07585921],"genre_scores_gemma":[0.9837137,0.014555837,0.00030309375,0.0009743578,0.000088877976,0.000008000236,7.341627e-7,0.000009699296,0.0003457075],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99899906,0.000066694534,0.00057716906,0.00015349481,0.00003964664,0.00016395733],"domain_scores_gemma":[0.9991669,0.00011849977,0.00049503136,0.000119189135,0.000005982421,0.00009438278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003710131,0.000090620604,0.0003391627,0.00030797135,0.00028782376,0.000059492362,0.00017097332,0.000025153888,0.00026587473],"category_scores_gemma":[0.00024948647,0.00008251922,0.000078852776,0.00016507521,0.000082370876,0.00010315461,0.00022328613,0.00028633754,0.0000024850658],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017607427,0.00019707033,0.41779166,0.0001471882,0.00007649951,0.0002903552,0.0052495156,0.0019065689,1.3363731e-7,0.43953544,0.02047099,0.11257385],"study_design_scores_gemma":[0.0034108995,0.00006475265,0.12964138,0.000005464501,0.000019253555,0.000037368914,0.0006844563,0.001176011,6.671179e-8,0.13133642,0.7334889,0.00013501054],"about_ca_topic_score_codex":0.0002069039,"about_ca_topic_score_gemma":0.00006404895,"teacher_disagreement_score":0.71301794,"about_ca_system_score_codex":0.00014018148,"about_ca_system_score_gemma":0.000024929821,"threshold_uncertainty_score":0.3365036},"labels":[],"label_agreement":null},{"id":"W4214936455","doi":"10.21203/rs.3.rs-1401776/v1","title":"Coming of Age: Renovation Premiums in Housing Markets","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Norwegian; Residential real estate; Quarter (Canadian coin); Econometrics; Price premium; Economics; Regression analysis; Variation (astronomy); Hedonic regression; Maturity (psychological); Business; Geography; Statistics; Mathematics; Finance; Microeconomics","score_opus":0.12324276722021711,"score_gpt":0.34681226165371093,"score_spread":0.22356949443349383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214936455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8120655,0.0009506975,0.0002154423,0.00026110528,0.0006187673,0.00076523086,0.00016765394,0.00003674133,0.18491891],"genre_scores_gemma":[0.99685204,0.0012034627,0.0007657834,0.000016137134,0.00013846917,0.00012123126,0.00019800337,0.00007220957,0.0006326584],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99709314,0.00020311885,0.0011737964,0.00075933966,0.0001546272,0.0006159856],"domain_scores_gemma":[0.99810594,0.00035720898,0.0005311125,0.00083426444,0.00009496182,0.00007651606],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007626735,0.00021901306,0.00076254684,0.0017541685,0.00017100094,0.00015457986,0.00063724595,0.00031061537,0.0012572735],"category_scores_gemma":[0.00076242763,0.00030361995,0.00017385076,0.0007292308,0.00012461747,0.00014356601,0.0016247282,0.0017426207,0.00004649249],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005430776,0.0007776897,0.89045143,0.0054923804,0.00014262363,0.00015636119,0.005208646,0.012978319,0.00010646151,0.057858493,0.004716599,0.021567928],"study_design_scores_gemma":[0.0028768121,0.00031669237,0.5226128,0.0021396386,0.00001386003,0.0000047977296,0.0024793465,0.049246714,0.00024187285,0.31621277,0.10181052,0.0020441818],"about_ca_topic_score_codex":0.0017691072,"about_ca_topic_score_gemma":0.00033682626,"teacher_disagreement_score":0.36783862,"about_ca_system_score_codex":0.0011326453,"about_ca_system_score_gemma":0.00018538901,"threshold_uncertainty_score":0.9999416},"labels":[],"label_agreement":null},{"id":"W4220660270","doi":"10.1111/caje.12585","title":"How important are land values in house price growth? Evidence from Canadian cities","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Economics; Land Values; Returns to scale; CobB; Scale (ratio); Econometrics; Constant (computer programming); Quality (philosophy); House price; Work (physics); Land use; Set (abstract data type); Microeconomics; Geography; Production (economics); Ecology","score_opus":0.114425373203932,"score_gpt":0.16821946031171758,"score_spread":0.05379408710778559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220660270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98275477,0.0026093044,0.000016702244,0.007756009,0.0028159386,0.00030703336,0.0016310501,0.000015108708,0.0020940902],"genre_scores_gemma":[0.99618703,0.0011584632,0.0002889378,0.0010253633,0.0006422198,0.00004355891,0.00002868442,0.00014204271,0.00048367196],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99600804,0.00009334138,0.0017767465,0.00073032273,0.000004574512,0.0013869909],"domain_scores_gemma":[0.99481696,0.00027747484,0.0018674529,0.00061850605,0.0001067342,0.0023128456],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002076947,0.00044135825,0.001268944,0.0024301235,0.0005016334,0.00055056496,0.0012559637,0.00022286427,0.0010489356],"category_scores_gemma":[0.00075181265,0.00065460126,0.00033493538,0.00032716518,0.00016871432,0.0012005238,0.00007690994,0.0008555235,0.00003664599],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007458748,0.000017101858,0.93333584,0.000032487835,0.00014678053,0.00064161466,0.00310227,0.0039289948,0.0000015895127,0.05677119,0.0016745481,0.00027297685],"study_design_scores_gemma":[0.0024605102,0.0006258669,0.11450043,0.0003121336,0.00006199495,0.00069361785,0.006697865,0.009800219,0.00003526766,0.7503657,0.11190126,0.0025451258],"about_ca_topic_score_codex":0.9355173,"about_ca_topic_score_gemma":0.99893266,"teacher_disagreement_score":0.81883544,"about_ca_system_score_codex":0.009272031,"about_ca_system_score_gemma":0.0033270123,"threshold_uncertainty_score":0.9998642},"labels":[],"label_agreement":null},{"id":"W4220680904","doi":"10.1016/j.jhe.2021.101823","title":"Macroeconomic shocks and ripple effects in the Greater Paris Metropolis","year":2022,"lang":"en","type":"article","venue":"Journal of Housing Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Association Nationale de la Recherche et de la Technologie; BNP Paribas Cardif; Agence Nationale de la Recherche","keywords":"Economics; Autoregressive model; Econometrics; Robustness (evolution); Impulse response; Ripple; Autoregressive fractionally integrated moving average; Homogeneous; Vector autoregression; Homogeneity (statistics); Mathematics; Statistics; Volatility (finance)","score_opus":0.0158045916740907,"score_gpt":0.2011119248907619,"score_spread":0.1853073332166712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220680904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98677236,0.00087073556,0.00021412598,0.0012893252,0.0010123148,0.00016250838,0.000037487323,0.000008713076,0.009632417],"genre_scores_gemma":[0.99711454,0.00084290665,0.0007409583,0.00094194454,0.00025151612,0.000011731354,0.0000031493587,0.000045072757,0.00004820789],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99808615,0.00008025136,0.0011524739,0.00028757658,0.000027580247,0.0003659781],"domain_scores_gemma":[0.9983707,0.00020521626,0.0010263356,0.000303645,0.0000133659205,0.00008071067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023728302,0.00020144605,0.0006711643,0.0005559665,0.00028592863,0.0002217793,0.00048070736,0.00006931348,0.00022891011],"category_scores_gemma":[0.000046681474,0.00020611749,0.00019854869,0.00013653334,0.000084599335,0.00038408,0.00018008261,0.0005097597,0.000023782237],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041459544,0.00041864568,0.85972995,0.00012460041,0.00036513878,0.00016629665,0.005907529,0.0216794,0.000022766977,0.093803875,0.006412218,0.010955006],"study_design_scores_gemma":[0.010727452,0.0019993964,0.17312042,0.000072353956,0.00018266532,0.0022559294,0.0058037164,0.03530629,0.00023566118,0.3929405,0.37489507,0.0024605677],"about_ca_topic_score_codex":0.00026558738,"about_ca_topic_score_gemma":0.00009028699,"teacher_disagreement_score":0.6866095,"about_ca_system_score_codex":0.0005962837,"about_ca_system_score_gemma":0.000055696913,"threshold_uncertainty_score":0.8405227},"labels":[],"label_agreement":null},{"id":"W4220750318","doi":"10.3390/businesses2010007","title":"An Empirical Investigation on Bubbles Contagion in Scandinavian Real Estate Markets","year":2022,"lang":"en","type":"article","venue":"Businesses","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Gouvernement du Québec; Université Laval","funders":"","keywords":"Real estate; Economics; Monetary economics; Empirical evidence; Economic bubble; Period (music); Financial economics; Econometrics; Finance","score_opus":0.05194532712469934,"score_gpt":0.25336104712601415,"score_spread":0.2014157200013148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220750318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9480747,0.000024975307,0.000033011955,0.0008448119,0.00046215544,0.000138686,0.000053145635,0.00005368355,0.050314855],"genre_scores_gemma":[0.9984661,0.00057230075,0.00015946248,0.00038452554,0.000089756744,0.00004860815,0.00012107265,0.00003136564,0.00012681568],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99882144,0.000052077245,0.0004357713,0.00039912006,0.000037139333,0.00025447164],"domain_scores_gemma":[0.9993777,0.00006499125,0.0002020155,0.0002664572,0.000015387286,0.00007343002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006419097,0.00014074787,0.00027940155,0.00037704816,0.00019016724,0.0000926406,0.00019311132,0.00005251658,0.00043585122],"category_scores_gemma":[0.000065637156,0.00018093022,0.000039228184,0.00040583673,0.000049413524,0.00031028435,0.000059191196,0.00015067162,0.00007911317],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020033898,0.00019477653,0.9815476,0.000026347168,0.000007652945,0.000029816196,0.00085700816,0.0024194103,0.000041361025,0.0033967546,0.0011843721,0.010094595],"study_design_scores_gemma":[0.00087509985,0.00014775891,0.9457544,0.00001724479,0.0000033463284,0.000012902304,0.00035396672,0.008125357,0.00005728899,0.01094531,0.0333034,0.000403911],"about_ca_topic_score_codex":0.001761871,"about_ca_topic_score_gemma":0.00040267012,"teacher_disagreement_score":0.050391417,"about_ca_system_score_codex":0.00029062136,"about_ca_system_score_gemma":0.000044830533,"threshold_uncertainty_score":0.73781204},"labels":[],"label_agreement":null},{"id":"W4220978924","doi":"10.3390/jrfm15040159","title":"Homebuyer Purchase Decisions: Are They Anchoring to Appraisal Values or Market Prices?","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Auckland","keywords":"Granger causality; Price discovery; Real estate; Economics; Database transaction; Negotiation; Financial economics; Test (biology); Anchoring; Econometrics; Business; Futures contract; Finance","score_opus":0.023836675582179685,"score_gpt":0.23960506123458972,"score_spread":0.21576838565241002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220978924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9301361,0.0019505926,0.041100446,0.0005379954,0.0037315816,0.00041835886,0.00017040539,0.000026226373,0.021928284],"genre_scores_gemma":[0.9805665,0.009747303,0.007833735,0.0004448674,0.0006488791,0.00003155594,0.0000016711763,0.000035964782,0.0006895281],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99846274,0.00003141699,0.00083185686,0.00028686342,0.00009258425,0.00029456284],"domain_scores_gemma":[0.998572,0.00015982981,0.0008524772,0.0002268004,0.00003814512,0.00015075441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021671795,0.00016260381,0.00047663788,0.00060070364,0.00041734407,0.00012654401,0.00034407707,0.00004008349,0.00035798515],"category_scores_gemma":[0.00066708255,0.0001601249,0.00014309949,0.00028057685,0.000020566305,0.00023037595,0.0004135413,0.0002906101,0.000027192842],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002731887,0.00065161934,0.11508697,0.00009625744,0.0001752243,0.00048384952,0.004403509,0.004217761,0.0000012877335,0.03393714,0.058611345,0.7796031],"study_design_scores_gemma":[0.0011595287,0.00034281253,0.11644561,0.00004392166,0.00003388411,0.000028635834,0.0013314564,0.00033150337,8.803952e-7,0.028012745,0.85197175,0.00029727432],"about_ca_topic_score_codex":0.00003375164,"about_ca_topic_score_gemma":0.00002652563,"teacher_disagreement_score":0.7933604,"about_ca_system_score_codex":0.00015080064,"about_ca_system_score_gemma":0.000021537433,"threshold_uncertainty_score":0.6529704},"labels":[],"label_agreement":null},{"id":"W4221006047","doi":"10.1016/j.tej.2022.107109","title":"Do gentailers charge higher residential electricity prices in the Texas retail electricity market?","year":2022,"lang":"en","type":"article","venue":"The Electricity Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Electricity; Electricity retailing; Competition (biology); Business; Electricity market; Electricity pricing; Market power; Retail market; Industrial organization; Commerce; Marketing; Microeconomics; Economics; Engineering; Electrical engineering","score_opus":0.02870049609125515,"score_gpt":0.2186858013558014,"score_spread":0.18998530526454624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221006047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.870385,0.0044555636,0.0005421844,0.0057557714,0.00132989,0.0006737656,0.00003517065,0.00006406977,0.1167586],"genre_scores_gemma":[0.9921379,0.002374447,0.00005583614,0.0017229272,0.0008385792,0.000047607064,0.0000072285407,0.000060947514,0.0027545423],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99585646,0.00053350814,0.0013574868,0.0006166966,0.00031714755,0.0013187121],"domain_scores_gemma":[0.99749047,0.00046732565,0.0011900238,0.00066077715,0.000055586115,0.0001358411],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009862284,0.00038682326,0.0006642148,0.0008231656,0.0019246236,0.00068447954,0.0021624174,0.0001386476,0.006445696],"category_scores_gemma":[0.00027571848,0.00031805833,0.0003925163,0.0024015151,0.000093305374,0.00046912825,0.00023551991,0.0026723775,0.00024425623],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031867716,0.0024858054,0.42848188,0.00007849035,0.0010099978,0.00041265268,0.005459451,0.0017021714,0.00058252166,0.13284886,0.39913157,0.024619862],"study_design_scores_gemma":[0.004656568,0.0012839051,0.34820235,0.00002156144,0.00015789346,0.0014990626,0.000438308,0.013843444,0.00044407736,0.12959462,0.49768895,0.002169236],"about_ca_topic_score_codex":0.0005079312,"about_ca_topic_score_gemma":0.00008858934,"teacher_disagreement_score":0.1217529,"about_ca_system_score_codex":0.0012243034,"about_ca_system_score_gemma":0.00019472002,"threshold_uncertainty_score":0.99992716},"labels":[],"label_agreement":null},{"id":"W4221041106","doi":"10.3390/ijfs10020023","title":"Toxic Asset Subsidies and the Early Redemption of TALF Loans","year":2022,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Asset (computer security); Loan; Subsidy; Business; Monetary economics; Investment (military); Quarter (Canadian coin); Financial system; Finance; Economics; Market economy","score_opus":0.03437917513075014,"score_gpt":0.24952857941549036,"score_spread":0.21514940428474022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221041106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850237,0.006314222,0.00014899737,0.002796543,0.0020921186,0.000053225216,0.00005457042,0.0000029877813,0.0035136805],"genre_scores_gemma":[0.9945885,0.0047370815,0.000105789586,0.00013143952,0.00029060995,0.000005323573,0.0000010615464,0.00000602062,0.00013415572],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99908984,0.000026176684,0.00063343847,0.00008920428,0.000074573865,0.00008676836],"domain_scores_gemma":[0.9988594,0.0001386947,0.00080003444,0.000059254486,0.00012663742,0.000015981845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011445828,0.00007032103,0.00032982946,0.0001572181,0.00014667418,0.000029507828,0.00025468302,0.000019444513,0.0000511026],"category_scores_gemma":[0.00042958997,0.00006153033,0.00012475305,0.00006664647,0.00016707394,0.00015305686,0.00016680347,0.00014698996,0.0000036523463],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024531607,0.0002841704,0.3561541,0.00004527143,0.0015570297,0.00005793403,0.021678265,0.0013243919,0.00007101511,0.57455856,0.013409839,0.028406223],"study_design_scores_gemma":[0.0065560793,0.0006933845,0.43173262,0.00008312902,0.00006635279,0.00019733758,0.002919351,0.00049118075,0.00019816193,0.39824864,0.15837125,0.00044249944],"about_ca_topic_score_codex":0.0000854487,"about_ca_topic_score_gemma":0.000036115216,"teacher_disagreement_score":0.17630994,"about_ca_system_score_codex":0.00011792616,"about_ca_system_score_gemma":0.00002513647,"threshold_uncertainty_score":0.25091338},"labels":[],"label_agreement":null},{"id":"W4221087338","doi":"10.3390/jrfm15030121","title":"Housing Real Estate Economics and Finance","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; Valuation (finance); Real estate development; Real estate investment trust; Negotiation; Finance; Capitalization rate; Economics; Cost approach; Financial economics; Business; Political science","score_opus":0.010175642468368778,"score_gpt":0.18184528624078317,"score_spread":0.1716696437724144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221087338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.977022,0.0006344732,0.0014839304,0.00013869611,0.0007637097,0.00009485676,0.00005337069,0.0000068732547,0.019802121],"genre_scores_gemma":[0.79684764,0.20068803,0.0021355469,0.00008467654,0.00012917392,0.0000041821613,0.0000013322664,0.00001686557,0.000092556256],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99886835,0.000020806809,0.00064750743,0.0002210358,0.00002693643,0.00021538025],"domain_scores_gemma":[0.9990169,0.00003489813,0.00075313426,0.00013148504,0.000012859189,0.000050770046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001068623,0.00012666915,0.00037909154,0.00029272592,0.00035727452,0.00008273444,0.00014795212,0.000033022152,0.00002327595],"category_scores_gemma":[0.000024072464,0.00015625094,0.00008323337,0.00011102585,0.00005226826,0.00021601573,0.00023111937,0.00023005457,0.000004880024],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019118525,0.00008386934,0.030869368,0.00002925579,0.00003497307,0.000060450584,0.0012873049,0.0044157053,3.280733e-7,0.10072031,0.0005626447,0.8617446],"study_design_scores_gemma":[0.0014085782,0.00025275818,0.06308242,0.000011339628,0.00003667341,0.000050002378,0.0005241545,0.0028325429,0.000001852619,0.058281653,0.87319183,0.00032616573],"about_ca_topic_score_codex":0.00013503252,"about_ca_topic_score_gemma":0.000038482416,"teacher_disagreement_score":0.8726292,"about_ca_system_score_codex":0.00011873996,"about_ca_system_score_gemma":0.000016210273,"threshold_uncertainty_score":0.6371728},"labels":[],"label_agreement":null},{"id":"W4221091718","doi":"10.33423/jabe.v24i2.5096","title":"Diversification With REITS: A 10 Year Perspective","year":2022,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate investment trust; Diversification (marketing strategy); Risk–return spectrum; Financial economics; Popularity; Stock (firearms); Economics; Real estate; Business; Monetary economics; Portfolio; Finance; Geography","score_opus":0.015668256656944435,"score_gpt":0.17500899852757026,"score_spread":0.15934074187062583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221091718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86229146,0.0001966614,0.0004741286,0.0009800547,0.00030750324,0.000113955364,0.000045546174,0.000010202861,0.1355805],"genre_scores_gemma":[0.997661,0.00072462147,0.001068418,0.00014192439,0.00017119801,0.0000072248395,0.000005446021,0.000025565114,0.00019461935],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99911803,0.0000046024725,0.00047572356,0.00022055172,0.000021289952,0.00015978824],"domain_scores_gemma":[0.998872,0.00002576974,0.00081486796,0.00014937828,0.00007137262,0.00006661475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051336054,0.00011774091,0.00037002927,0.00025285527,0.00022417986,0.00009135092,0.00018432853,0.000039505478,0.0005494942],"category_scores_gemma":[0.000013551935,0.00013031409,0.00005125761,0.00016098222,0.000057571593,0.00025152112,0.00009552294,0.000175216,0.00003406814],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026445936,0.00031447527,0.015149219,0.000051371848,0.00035525684,0.000013619895,0.0032526925,0.023119474,0.000023655379,0.945437,0.0029507442,0.006687868],"study_design_scores_gemma":[0.008929565,0.0008017925,0.05717411,0.000028066359,0.0001287119,0.00035202596,0.025090842,0.005123068,0.000055422155,0.23259734,0.6681083,0.0016107744],"about_ca_topic_score_codex":0.000038803446,"about_ca_topic_score_gemma":0.000008080448,"teacher_disagreement_score":0.71283966,"about_ca_system_score_codex":0.0003153312,"about_ca_system_score_gemma":0.00006221498,"threshold_uncertainty_score":0.60165757},"labels":[],"label_agreement":null},{"id":"W4221120354","doi":"10.1111/rmir.12201","title":"Residential property insurance and markets: Florida's QUASR data","year":2022,"lang":"en","type":"article","venue":"Risk Management and Insurance Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Property insurance; Business; Actuarial science; Property market; Quarter (Canadian coin); Imputation (statistics); Residential property; Finance; Insurance policy; Economics; General insurance; Missing data; Real estate","score_opus":0.03557366662729081,"score_gpt":0.22990627455048135,"score_spread":0.19433260792319054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221120354","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12102242,0.65924037,0.00032846464,0.0015503124,0.0013821452,0.0019371789,0.0014235417,0.00012916583,0.21298641],"genre_scores_gemma":[0.23686771,0.76054376,0.00049815275,0.00049507926,0.00007645021,0.000094716524,0.00006216252,0.000027409455,0.0013345497],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980237,0.000092533104,0.0007122459,0.000793078,0.000065203676,0.00031323696],"domain_scores_gemma":[0.9985429,0.000035859513,0.0004392423,0.0008912609,0.000010788289,0.00007992309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022832728,0.00021707201,0.00059231167,0.00012642081,0.00047874442,0.00011682884,0.0005560807,0.000029721847,0.0003505796],"category_scores_gemma":[0.000070707,0.00020886248,0.00006238381,0.0002725599,0.000072272254,0.0005332289,0.0010880945,0.00023388289,0.00006576311],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008067619,0.0000791087,0.44246587,0.0036983169,0.00017429932,0.000019916217,0.0000892969,0.00001097322,1.7227113e-7,0.006337974,0.036336232,0.51070714],"study_design_scores_gemma":[0.0005131585,0.000031932414,0.12131198,0.0002582139,0.000032309825,0.000009696757,0.00002993465,0.0008640234,1.2750547e-7,0.002230755,0.8743818,0.0003360953],"about_ca_topic_score_codex":0.00024368169,"about_ca_topic_score_gemma":0.000029818377,"teacher_disagreement_score":0.83804554,"about_ca_system_score_codex":0.00005579986,"about_ca_system_score_gemma":0.0000084975445,"threshold_uncertainty_score":0.85171646},"labels":[],"label_agreement":null},{"id":"W4221135612","doi":"10.3390/jrfm15030139","title":"Spatial Analysis and Modeling of the Housing Value Changes in the U.S. during the COVID-19 Pandemic","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; Economic geography; Coronavirus disease 2019 (COVID-19); Spillover effect; Volatility (finance); Distribution (mathematics); Economics; Divergence (linguistics); Socioeconomic status; Pandemic; Geography; Econometrics; Macroeconomics","score_opus":0.027169265418642223,"score_gpt":0.21853307626408247,"score_spread":0.19136381084544024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221135612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870955,0.0009326473,0.010514632,0.00070115394,0.00021057416,0.00013036327,0.000023299983,0.000002048774,0.0003898241],"genre_scores_gemma":[0.9937012,0.0057757776,0.000079525,0.00033334864,0.00008740272,0.000005631392,3.8769852e-7,0.0000060292837,0.000010661797],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911296,0.00008515107,0.0004678927,0.00013228461,0.00006349751,0.00013822503],"domain_scores_gemma":[0.9991545,0.000077493896,0.0005670376,0.00016577946,0.000008457696,0.000026724168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025954773,0.00008239264,0.00027903754,0.00031044436,0.0004592484,0.000049991693,0.00027661456,0.000024280554,0.000015262705],"category_scores_gemma":[0.00008998298,0.000055119533,0.00011734696,0.00040549887,0.000049975042,0.000056564524,0.00022361243,0.00026048784,1.7905957e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093963565,0.000040358154,0.8676751,0.000042010124,0.00008709857,0.000008209862,0.004199022,0.11003723,0.0000010839586,0.0042654835,0.000020908994,0.013529488],"study_design_scores_gemma":[0.0016546531,0.00010339731,0.85170245,0.000018484865,0.00039870682,0.000041359952,0.0036532865,0.08737823,0.0000016630944,0.030349664,0.024440238,0.00025785706],"about_ca_topic_score_codex":0.0010608496,"about_ca_topic_score_gemma":0.0015306066,"teacher_disagreement_score":0.02608418,"about_ca_system_score_codex":0.00010930229,"about_ca_system_score_gemma":0.000016137155,"threshold_uncertainty_score":0.3532214},"labels":[],"label_agreement":null},{"id":"W4223520315","doi":"10.1108/ijhma-02-2022-0020","title":"Housing affordability in a resource rich economy: the case of Kuwait","year":2022,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Index (typography); Originality; Population; Business; Value (mathematics); Resource (disambiguation); Public economics; Economic growth; Political science","score_opus":0.015779905966252828,"score_gpt":0.22932527157436972,"score_spread":0.21354536560811688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223520315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857772,0.0005105071,0.00087399065,0.0013916411,0.00022599063,0.00004876128,0.00003996073,0.0000039276842,0.011128037],"genre_scores_gemma":[0.99914455,0.00014952783,0.00036000242,0.00019589558,0.00008978062,0.0000021429353,0.0000039884017,0.000012932246,0.000041195566],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983877,0.00010392544,0.001089236,0.00020832289,0.00005206496,0.00015878493],"domain_scores_gemma":[0.99827296,0.00025052542,0.0011596365,0.0001877561,0.000081387145,0.000047760575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033024077,0.00011382413,0.000496557,0.0012468114,0.00016720826,0.00012116606,0.00036648675,0.000033621192,0.00035693008],"category_scores_gemma":[0.00013963252,0.00010786108,0.00029130463,0.0006100604,0.00008908134,0.00021078021,0.00020728943,0.00026444448,7.6342354e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061014114,0.00043728098,0.9011982,0.000030267296,0.0027538908,0.00092250935,0.0023104376,0.036604248,0.000013799001,0.011449395,0.00044238108,0.043227445],"study_design_scores_gemma":[0.007201402,0.0005604607,0.20233661,0.00013132565,0.0015116079,0.004308695,0.015714323,0.4485032,0.000102413775,0.13313144,0.18465428,0.001844237],"about_ca_topic_score_codex":0.0004224697,"about_ca_topic_score_gemma":0.0002697831,"teacher_disagreement_score":0.6988616,"about_ca_system_score_codex":0.00026796397,"about_ca_system_score_gemma":0.00004341142,"threshold_uncertainty_score":0.43984473},"labels":[],"label_agreement":null},{"id":"W4223542823","doi":"10.1108/jpif-02-2022-0018","title":"Climate risks and their implications for commercial property valuations","year":2022,"lang":"en","type":"article","venue":"Journal of Property Investment and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Real estate; Valuation (finance); Actuarial science; Context (archaeology); Market value; Work (physics); Business; Cash flow; Economics; Finance; Engineering","score_opus":0.1351848125414623,"score_gpt":0.27058916933915855,"score_spread":0.13540435679769625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223542823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93549484,0.0064440733,0.0025243366,0.025957495,0.000963,0.0012728437,0.0007776746,0.000023948875,0.026541796],"genre_scores_gemma":[0.9886156,0.0058625084,0.002844438,0.0015491502,0.0001713523,0.00013178238,0.00001170672,0.000024254114,0.0007892384],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99902576,0.000023543513,0.0005638712,0.00017882515,0.000016674725,0.00019135166],"domain_scores_gemma":[0.99918175,0.000045549863,0.00053459377,0.0001423274,0.00004797943,0.000047785747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010325533,0.00011264782,0.00033022155,0.000114797826,0.0005684055,0.00007196446,0.00015452497,0.00003329589,0.000022798382],"category_scores_gemma":[0.000057638816,0.00007354244,0.000080725724,0.00008561057,0.00007478769,0.00022786004,0.000108401975,0.00015587533,0.0000024006797],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006225439,0.0009755091,0.16925918,0.00017928005,0.00026175097,0.0000023854457,0.0064683855,0.0011118077,0.00028549272,0.4770005,0.048951555,0.2948816],"study_design_scores_gemma":[0.0015155463,0.0006266935,0.048362177,0.00001919353,0.000021961388,0.000065254426,0.00019972668,0.008277586,0.000024571002,0.07792224,0.86269265,0.00027240068],"about_ca_topic_score_codex":0.00002752906,"about_ca_topic_score_gemma":0.00000916882,"teacher_disagreement_score":0.8137411,"about_ca_system_score_codex":0.00008680295,"about_ca_system_score_gemma":0.000044651795,"threshold_uncertainty_score":0.4371773},"labels":[],"label_agreement":null},{"id":"W4224054969","doi":"10.21837/pm.v20i20.1083","title":"THE IMPACT OF MONETARY POLICY ON HOUSING AFFORDABILITY IN MALAYSIA","year":2022,"lang":"en","type":"article","venue":"PLANNING MALAYSIA","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Interest rate; Quarter (Canadian coin); Economics; Cointegration; Monetary policy; Money supply; Distributed lag; Short run; Monetary economics; Macroeconomics; Econometrics","score_opus":0.0270854669165365,"score_gpt":0.2550213608810579,"score_spread":0.22793589396452144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224054969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.951745,0.0002632228,0.000030110214,0.0002984693,0.00018674144,0.00015791875,0.000086169995,0.000026947564,0.04720543],"genre_scores_gemma":[0.99956435,0.000049391936,0.00008731779,0.000055749053,0.00009106585,0.000026431377,0.00001842832,0.000030828156,0.00007643098],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847806,0.00005500833,0.0006445239,0.0003409224,0.00004439658,0.00043709614],"domain_scores_gemma":[0.998862,0.00022272547,0.00037639216,0.0004719779,0.0000084641315,0.00005840864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013312147,0.00017179802,0.00039351475,0.00037655068,0.00027356044,0.00005585617,0.0003764418,0.000049829327,0.00018079099],"category_scores_gemma":[0.00014369063,0.00016831358,0.00020172125,0.00044655442,0.00006900596,0.000108335174,0.00016820109,0.00034252464,0.000038729868],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014031713,0.0000777104,0.60795707,0.0000075610756,0.00002808968,0.0000050708086,0.00042237635,0.38407165,0.000011834468,0.0059170527,0.00031819515,0.001043069],"study_design_scores_gemma":[0.0007693282,0.0003822949,0.7425751,0.000022278666,0.0000038316184,0.00001050371,0.00034785963,0.22249939,0.000021449283,0.029502759,0.003449434,0.00041575255],"about_ca_topic_score_codex":0.0022999751,"about_ca_topic_score_gemma":0.000010025174,"teacher_disagreement_score":0.16157226,"about_ca_system_score_codex":0.0005616071,"about_ca_system_score_gemma":0.00008452226,"threshold_uncertainty_score":0.68636286},"labels":[],"label_agreement":null},{"id":"W4224293936","doi":"10.3390/jrfm15050193","title":"Machine Learning Applications to Land and Structure Valuation","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Interpretability; Machine learning; Generalized additive model; Artificial intelligence; Covariate; Gradient boosting; Computer science; Valuation (finance); Boosting (machine learning); Regression; Additive model; Generalized linear model; Dimensionality reduction; Econometrics; Mathematics; Statistics; Random forest; Economics","score_opus":0.012080690647166296,"score_gpt":0.2014044774241135,"score_spread":0.1893237867769472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224293936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8586733,0.0025316908,0.13142642,0.0004382033,0.0004754953,0.00035712845,0.00013246127,0.000011768139,0.0059535755],"genre_scores_gemma":[0.99515265,0.002537713,0.0019618198,0.00011353954,0.00011194952,0.000008763832,0.0000041520602,0.000007849319,0.00010154272],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994414,0.000015835885,0.0003022314,0.00011990426,0.00003009068,0.000090575464],"domain_scores_gemma":[0.99956846,0.000018486926,0.00029102605,0.00006072965,0.0000119407305,0.000049349044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005352422,0.00006105885,0.00016956183,0.0002239561,0.000278901,0.000043944,0.00007284793,0.000017549148,0.00006153055],"category_scores_gemma":[0.000029881181,0.00006910548,0.00003014695,0.00012024104,0.000010171059,0.00006949962,0.00011055157,0.00017468621,0.0000036765011],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010210693,0.00004716757,0.42485887,0.000033388445,0.000028606197,0.0000063974267,0.0009867606,0.007961526,0.0000021550743,0.07333505,0.00030408654,0.4923339],"study_design_scores_gemma":[0.0006245849,0.0001560095,0.13778988,0.000004249575,0.00002406755,0.000014768766,0.000117608586,0.0021782634,9.749465e-7,0.07431519,0.78464437,0.0001300382],"about_ca_topic_score_codex":0.00003481795,"about_ca_topic_score_gemma":0.0000134163265,"teacher_disagreement_score":0.78434026,"about_ca_system_score_codex":0.000048345777,"about_ca_system_score_gemma":0.0000052792884,"threshold_uncertainty_score":0.28180397},"labels":[],"label_agreement":null},{"id":"W4224305849","doi":"10.1108/ijhma-02-2022-0033","title":"Longitudinal modelling of housing prices with machine learning and temporal regression","year":2022,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Econometrics; Context (archaeology); Random forest; Mode (computer interface); Regression analysis; Regression; Lag; Computer science; Database transaction; Linear regression; Economics; Process (computing); Machine learning; Statistics; Mathematics; Geography","score_opus":0.02671649458320499,"score_gpt":0.23264210341725763,"score_spread":0.20592560883405264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224305849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9646915,0.0017853385,0.031434912,0.00025193836,0.00015248393,0.000027200787,0.000020654308,0.0000066203247,0.0016293246],"genre_scores_gemma":[0.9930883,0.0014161601,0.0053148014,0.000021021962,0.00007251076,6.6594714e-7,0.000010009199,0.000016872937,0.00005964862],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988081,0.00003841573,0.0006795193,0.00021175956,0.00013130685,0.00013090123],"domain_scores_gemma":[0.99833226,0.000083536186,0.0013472922,0.00007090221,0.00010482379,0.00006119381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012008272,0.00012682138,0.0004883255,0.0011358031,0.00021263871,0.00012982739,0.00016699241,0.000029498115,0.00015930324],"category_scores_gemma":[0.000032999193,0.00011664362,0.00014782707,0.0003424634,0.00006495458,0.0002781996,0.00013945757,0.0002473279,2.294531e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039434183,0.00006634788,0.9376317,0.000014743442,0.0010954872,0.000044780594,0.00029268427,0.053713758,0.0000147262535,0.0004482664,0.000008386678,0.0062747546],"study_design_scores_gemma":[0.0017626409,0.00035012158,0.043461807,0.00013743989,0.0005404269,0.00021842052,0.00072732405,0.94218534,0.000039934956,0.0024697983,0.0076289102,0.0004778403],"about_ca_topic_score_codex":0.0002438379,"about_ca_topic_score_gemma":0.00003038171,"teacher_disagreement_score":0.8941699,"about_ca_system_score_codex":0.00008344227,"about_ca_system_score_gemma":0.000025016046,"threshold_uncertainty_score":0.4756589},"labels":[],"label_agreement":null},{"id":"W4224310440","doi":"10.3390/jrfm15050197","title":"Credit Risk, Regulatory Costs and Lending Discrimination in Efficient Residential Mortgage Markets","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Adverse selection; Moral hazard; Equity (law); Loan; Credit rationing; Economics; Arbitrage; Market failure; Credit risk; Disadvantaged; Bond market; Empirical evidence; Actuarial science; Business; Monetary economics; Public economics; Microeconomics; Financial economics; Interest rate; Finance; Incentive","score_opus":0.009682242917870097,"score_gpt":0.19514112691203112,"score_spread":0.18545888399416102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224310440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98963076,0.0013534459,0.0028070072,0.00007292936,0.0010036995,0.0001439729,0.00004472973,0.000005276683,0.004938161],"genre_scores_gemma":[0.9934771,0.0058193263,0.00041114766,0.000027731114,0.00015227546,0.000006897591,0.0000023150808,0.0000137233355,0.000089499605],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99874336,0.00006803533,0.0006891765,0.00022705414,0.00007303286,0.00019932092],"domain_scores_gemma":[0.99898064,0.000056425568,0.0007673937,0.0001210995,0.000012934008,0.00006151191],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002736524,0.00011382677,0.00031017035,0.00061893975,0.00031657104,0.00007464384,0.00012944765,0.00003833673,0.000060573566],"category_scores_gemma":[0.00012212741,0.00013696407,0.00007302672,0.0001658685,0.000041123607,0.00016018699,0.00022120864,0.00032990924,0.0000026704095],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078417576,0.000343243,0.5692755,0.00012356565,0.00006004331,0.0002258772,0.003266155,0.005245418,0.000003402025,0.06109027,0.002833713,0.35674867],"study_design_scores_gemma":[0.0013710904,0.00010204258,0.95495546,0.00003152006,0.000034667166,0.000017543936,0.00073807023,0.00327276,0.0000023984023,0.010294149,0.02899143,0.00018885706],"about_ca_topic_score_codex":0.0001541922,"about_ca_topic_score_gemma":0.00007572613,"teacher_disagreement_score":0.38568,"about_ca_system_score_codex":0.00027824932,"about_ca_system_score_gemma":0.000012600133,"threshold_uncertainty_score":0.55852324},"labels":[],"label_agreement":null},{"id":"W4224324212","doi":"10.3390/jrfm15050198","title":"The Performance and Diversification Potential of Non-Listed Value-Add Real Estate Funds in Japan","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Portfolio; Diversification (marketing strategy); Real estate; Global assets under management; Fund of funds; Passive management; Institutional investor; Finance; Alternative investment; Risk–return spectrum; Financial economics; Economics; Marketing; Market liquidity; Corporate governance","score_opus":0.00901109865493307,"score_gpt":0.18222699876214632,"score_spread":0.17321590010721324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224324212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99282,0.00015791786,0.0005544328,0.00006701064,0.00038755423,0.000088457295,0.00001836775,0.0000016977987,0.005904534],"genre_scores_gemma":[0.9602396,0.03940609,0.00020607415,0.000012408191,0.00004300797,0.0000031493073,0.00000150666,0.000005742545,0.000082409446],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991724,0.00001967418,0.00051837025,0.00011556463,0.00004211526,0.00013189221],"domain_scores_gemma":[0.999233,0.000027289803,0.0005974811,0.0000972067,0.00001485617,0.000030158351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012542846,0.00006875597,0.00020647579,0.00020982446,0.00027698086,0.00003646031,0.00013775888,0.000021913445,0.0000106091275],"category_scores_gemma":[0.000016839662,0.00006780224,0.000048267888,0.00013937731,0.000051693507,0.00013267566,0.00013771733,0.00015843009,0.0000011641614],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042500667,0.00009672117,0.34134212,0.00005782924,0.00002990486,0.000010027628,0.0019416275,0.0038171778,0.000005621691,0.0083677415,0.00034294213,0.6435633],"study_design_scores_gemma":[0.0009519024,0.00020325123,0.95618606,0.000009626034,0.00001918073,0.0000061294973,0.00072041096,0.009672606,0.0000020994883,0.0017004572,0.030434763,0.00009348807],"about_ca_topic_score_codex":0.0002175374,"about_ca_topic_score_gemma":0.000037610433,"teacher_disagreement_score":0.6434698,"about_ca_system_score_codex":0.00007112518,"about_ca_system_score_gemma":0.000011178232,"threshold_uncertainty_score":0.27648953},"labels":[],"label_agreement":null},{"id":"W4225131938","doi":"10.1016/j.cities.2022.103708","title":"Measuring the process of urban gentrification: A composite measure of the gentrification process in Toronto","year":2022,"lang":"en","type":"article","venue":"Cities","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Gentrification; Economic geography; Redevelopment; Geography; Demographic economics; Econometrics; Economics; Regional science; Economic growth; Civil engineering; Engineering","score_opus":0.03431391476601901,"score_gpt":0.21350130730941239,"score_spread":0.1791873925433934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225131938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96730137,0.0025163076,0.000049254046,0.00032395325,0.00023604385,0.00029562548,0.000051936644,0.000009858566,0.029215671],"genre_scores_gemma":[0.99959856,0.00008031972,0.000011029905,0.000036940506,0.000035559187,0.00008759426,0.000005510323,0.000011812734,0.00013268284],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991018,0.00003739671,0.00050266495,0.00016710223,0.00006212301,0.00012888761],"domain_scores_gemma":[0.9991231,0.000032937372,0.0004696578,0.00031042873,0.0000496854,0.000014197831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076805026,0.00007674929,0.00020663523,0.000055505665,0.0001822073,0.000019789677,0.0004521819,0.000020871092,0.00015789247],"category_scores_gemma":[0.000049912265,0.0000681603,0.000067754365,0.00020248318,0.00007956518,0.00013338859,0.000046214886,0.00010212392,0.000002413358],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015665866,0.00028376843,0.8547498,0.0004769162,0.00009349694,4.689738e-7,0.05406498,0.010014782,0.00028594484,0.07801004,0.00031515487,0.0015479962],"study_design_scores_gemma":[0.0036459514,0.00020388569,0.7377311,0.00025089033,0.00008925452,0.000030257275,0.1208775,0.027424276,0.020982428,0.063433096,0.02389082,0.001440567],"about_ca_topic_score_codex":0.0003900827,"about_ca_topic_score_gemma":0.00014154408,"teacher_disagreement_score":0.117018715,"about_ca_system_score_codex":0.00023688517,"about_ca_system_score_gemma":0.00005411583,"threshold_uncertainty_score":0.27794963},"labels":[],"label_agreement":null},{"id":"W4225412158","doi":"10.1080/23754931.2022.2072232","title":"Determinants of Bank Closures: Exploring the Relationship between Neighborhood Characteristics and Bank Branch Locations","year":2022,"lang":"en","type":"article","venue":"Papers in Applied Geography","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Demographics; Business; Financial services; Bank account; Mobile phone; Phone; Mobile banking; Finance; Marketing; Geography; Payment; Telecommunications; Computer science","score_opus":0.03848569801795797,"score_gpt":0.2189903814163194,"score_spread":0.18050468339836145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225412158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96024936,0.00018523744,0.000056235083,0.000116090116,0.0002106114,0.0002334007,0.000129883,0.000018754488,0.038800426],"genre_scores_gemma":[0.999247,0.0002215644,0.000117589436,0.00008280092,0.00005855169,0.00020804042,0.000028114595,0.000023247847,0.000013070547],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987733,0.000023894734,0.00062951876,0.00029747983,0.000039694798,0.0002361206],"domain_scores_gemma":[0.998858,0.00047164242,0.00030314445,0.0003185222,0.000005563523,0.000043160893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007759758,0.00013132428,0.00033240966,0.00036835103,0.00034278177,0.000037371203,0.00024076062,0.00004903356,0.00008538551],"category_scores_gemma":[0.00006647127,0.0001489907,0.000080863916,0.0004581493,0.00011195786,0.00006164435,0.00012414895,0.00028270375,0.000008955408],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000134966285,0.000028762226,0.9598596,0.00002621593,0.000015810929,2.8571444e-7,0.0008921628,0.000043113178,0.0000029237674,0.027727038,0.000006163991,0.011384399],"study_design_scores_gemma":[0.00030479566,0.000021539949,0.97767895,0.0000072897055,0.000010219839,8.354101e-7,0.00029127437,0.00016933914,0.000004766984,0.016359115,0.004982239,0.00016965653],"about_ca_topic_score_codex":0.00004708195,"about_ca_topic_score_gemma":0.00001936843,"teacher_disagreement_score":0.03899766,"about_ca_system_score_codex":0.000037333408,"about_ca_system_score_gemma":0.000013590307,"threshold_uncertainty_score":0.6075664},"labels":[],"label_agreement":null},{"id":"W4225787833","doi":"10.1080/08882746.2022.2061499","title":"Energy efficient affordable housing: policy design and implementation in Canadian cities","year":2022,"lang":"en","type":"article","venue":"Housing and Society","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Affordable housing; Energy (signal processing); Architectural engineering; Environmental planning; Business; Political science; Environmental economics; Civil engineering; Environmental science; Engineering; Economics","score_opus":0.02167640901862739,"score_gpt":0.22367458468407642,"score_spread":0.20199817566544903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225787833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99096763,0.0006329367,0.0020028926,0.0005455149,0.00016857745,0.00011067957,0.000048227044,0.00002701152,0.005496547],"genre_scores_gemma":[0.9973231,0.00068800733,0.0011345454,0.00065216766,0.00005816347,0.000020357444,0.000013870372,0.000023450337,0.00008634718],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901736,0.000025663696,0.00026449742,0.00026455228,0.00002317574,0.00040474813],"domain_scores_gemma":[0.999651,0.000033422126,0.000098178105,0.00009856774,0.000006308736,0.00011249709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080087205,0.00010723903,0.00019865937,0.00020543391,0.0005367228,0.00012493644,0.000060573922,0.000046094614,0.00007402762],"category_scores_gemma":[0.0000072722064,0.00014863345,0.00004675596,0.00021184857,0.000053554202,0.00007560997,0.00007250688,0.00009965613,0.0000014056544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058114787,0.00017042838,0.44880605,0.00013177998,0.00015259681,0.00001896973,0.065600075,0.10906534,0.00008134681,0.31126118,0.0065320972,0.058122024],"study_design_scores_gemma":[0.003383499,0.00024948484,0.034391843,0.00002607616,0.000022101336,0.00003244465,0.02707174,0.65038896,0.00011002825,0.04517953,0.23761046,0.0015338613],"about_ca_topic_score_codex":0.3324861,"about_ca_topic_score_gemma":0.026636058,"teacher_disagreement_score":0.5413236,"about_ca_system_score_codex":0.0006264458,"about_ca_system_score_gemma":0.00017289328,"threshold_uncertainty_score":0.9911253},"labels":[],"label_agreement":null},{"id":"W4226079390","doi":"10.2139/ssrn.4066875","title":"Climate Risk and Commercial Mortgage Delinquency","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Juvenile delinquency; Mortgage underwriting; Environmental science; Business; Criminology; Psychology; Mortgage insurance; Actuarial science","score_opus":0.013068440721325198,"score_gpt":0.2029663662554733,"score_spread":0.18989792553414808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226079390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9724906,0.0041674143,0.001943538,0.0004926639,0.00059344823,0.00008860416,0.00007695637,0.000029296607,0.020117497],"genre_scores_gemma":[0.9653135,0.033885285,0.000098888704,0.00017857968,0.00022951148,0.000008381629,0.000007206079,0.00003165441,0.00024700156],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976311,0.000054568292,0.0005006172,0.000247239,0.000032605647,0.0015339042],"domain_scores_gemma":[0.9993139,0.000032570162,0.00040434606,0.00015989297,0.000011112042,0.00007817269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039237677,0.00012861457,0.0002725957,0.0001838163,0.0009952993,0.00008702995,0.00023568509,0.000042190033,0.00037603668],"category_scores_gemma":[0.000048088295,0.00016251745,0.000105107596,0.00011914435,0.000038446582,0.00017994863,0.00014756345,0.0019004504,0.0000789292],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009250605,0.000089392895,0.29601106,0.0000058153196,0.00010520557,0.0000065814493,0.0004359013,0.00033161862,0.0000028098973,0.6141977,0.00030877313,0.08841267],"study_design_scores_gemma":[0.0013028721,0.00038584645,0.013915633,0.0000029086598,0.00002491472,0.0004997234,0.001297712,0.0031803427,0.0000015886706,0.9230897,0.05584723,0.0004515366],"about_ca_topic_score_codex":0.00020753856,"about_ca_topic_score_gemma":0.00039434232,"teacher_disagreement_score":0.308892,"about_ca_system_score_codex":0.000767685,"about_ca_system_score_gemma":0.00018861689,"threshold_uncertainty_score":0.8256617},"labels":[],"label_agreement":null},{"id":"W4226158803","doi":"10.1007/978-3-030-97614-9_2","title":"Asset Information","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; University of Toronto","funders":"","keywords":"Asset (computer security); Asset management; Computer science; Service (business); Risk analysis (engineering); Affect (linguistics); Information system; Database; Business; Finance; Engineering; Computer security; Marketing","score_opus":0.027076725688455615,"score_gpt":0.1791987677365269,"score_spread":0.15212204204807128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226158803","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000014915853,0.00011393255,0.00029974701,0.00025598225,0.00093617296,0.00012917125,0.0003494938,0.00007857079,0.997822],"genre_scores_gemma":[0.0018358539,0.0015032851,0.00040184552,0.0010263362,0.0001774417,0.0000147479,0.0007438183,0.000057979152,0.9942387],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99892503,0.0000014600008,0.00067225075,0.00021062457,0.000022991393,0.00016763662],"domain_scores_gemma":[0.9990829,0.000022050048,0.00048947724,0.0003406222,0.000011504634,0.00005342061],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00033890782,0.00018771348,0.00038670574,0.00033170465,0.00010453585,0.00010746721,0.00021382474,0.00018956924,0.083325684],"category_scores_gemma":[0.000017403305,0.00025581903,0.00016477825,0.000017891314,0.000022222885,0.0005224687,0.00013311728,0.00028114353,0.012556968],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000041089766,0.0000030094616,0.00008095633,0.000014371436,0.000029368024,8.3388187e-7,0.000041363375,0.000018321183,7.75553e-9,0.9595205,0.03561578,0.0046713753],"study_design_scores_gemma":[0.00010480515,0.000018320561,0.000025381129,0.0000027831525,0.000003275569,0.0000023414755,0.0000044297653,0.00023082315,1.2394516e-7,0.16646121,0.8328825,0.00026399165],"about_ca_topic_score_codex":0.00006804323,"about_ca_topic_score_gemma":0.000014409928,"teacher_disagreement_score":0.7972667,"about_ca_system_score_codex":0.00024748183,"about_ca_system_score_gemma":0.000025716496,"threshold_uncertainty_score":0.9999894},"labels":[],"label_agreement":null},{"id":"W4226406513","doi":"10.2139/ssrn.4046177","title":"The Macroeconomic Effects of Debt Relief Policies during Recessions","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Canada; Bank of Canada","funders":"","keywords":"Recession; Economics; Debt; Monetary economics; Keynesian economics; Financial system; Macroeconomics","score_opus":0.0056125925586549405,"score_gpt":0.19525958236991897,"score_spread":0.18964698981126404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226406513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97786885,0.0065235863,0.00013970815,0.0011957115,0.00093776226,0.00011997815,0.000008952869,0.000019350628,0.013186107],"genre_scores_gemma":[0.97702307,0.020270374,0.000020637253,0.00005964333,0.00016518352,0.000020053494,0.0000016679603,0.000033435615,0.002405932],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976504,0.000042749503,0.0006408998,0.00019956745,0.00003402846,0.0014323448],"domain_scores_gemma":[0.9989135,0.00013470156,0.0006107952,0.00027030148,0.000011768608,0.000058920832],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0019676846,0.00013036455,0.00029145152,0.0001902514,0.0013243734,0.00007159889,0.000530622,0.000039725273,0.000092867056],"category_scores_gemma":[0.000090153255,0.00012743872,0.00018587685,0.00015618882,0.00006609971,0.00014072006,0.00017383271,0.0011930803,0.000049773404],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014879879,0.000112913476,0.042200767,0.000030582403,0.00030034434,0.0000034129082,0.00072716,0.0010320601,0.00022742184,0.94687545,0.0005515414,0.007789517],"study_design_scores_gemma":[0.001413347,0.00035368965,0.013250602,0.00001584228,0.000019866186,0.00044543442,0.0019973272,0.00046525671,0.00034895854,0.9428041,0.03848046,0.00040513818],"about_ca_topic_score_codex":0.00017781778,"about_ca_topic_score_gemma":0.00027573903,"teacher_disagreement_score":0.03792892,"about_ca_system_score_codex":0.0013027993,"about_ca_system_score_gemma":0.000301536,"threshold_uncertainty_score":0.99997574},"labels":[],"label_agreement":null},{"id":"W4226455269","doi":"10.2139/ssrn.4077292","title":"Measuring the Value of Rent Stabilization and Understanding its Implications for Racial Inequality: Evidence from New York City","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Inequality; Value (mathematics); Economics; Mathematical economics; Sociology; Mathematics; Statistics; Mathematical analysis","score_opus":0.19861280567543582,"score_gpt":0.2738041662214409,"score_spread":0.07519136054600506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226455269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73349696,0.007771645,0.25491017,0.0029005727,0.00027247696,0.00024899148,0.000060760478,0.000010441532,0.00032797406],"genre_scores_gemma":[0.99651486,0.003052989,0.00012985848,0.000041494648,0.0001684353,0.000012568498,0.000005798207,0.000014294664,0.000059716713],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99874175,0.00004732954,0.0004720968,0.00019185331,0.000034805293,0.00051215646],"domain_scores_gemma":[0.999077,0.0002368733,0.00047402977,0.00014918332,0.000020249016,0.000042622018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031924339,0.00007978855,0.00019545476,0.00008902805,0.0005660896,0.000066853085,0.00021850244,0.000029302015,0.000042871838],"category_scores_gemma":[0.00027786515,0.00008380902,0.00007980749,0.00014338411,0.000022850114,0.00017926292,0.000069290254,0.0004128599,9.4596993e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000098339675,0.000029080627,0.073337786,0.000009689928,0.00010237439,2.8981011e-8,0.0019869313,0.002017178,0.00010298983,0.918478,0.00006997084,0.0037676212],"study_design_scores_gemma":[0.00039652304,0.00010197211,0.006426597,0.000011687093,0.00002044369,0.000007223636,0.0014786528,0.0034582696,0.000025479634,0.98716843,0.00078866055,0.00011605418],"about_ca_topic_score_codex":0.00038207023,"about_ca_topic_score_gemma":0.00075362646,"teacher_disagreement_score":0.26301786,"about_ca_system_score_codex":0.0015287894,"about_ca_system_score_gemma":0.0005086335,"threshold_uncertainty_score":0.43539605},"labels":[],"label_agreement":null},{"id":"W4229054665","doi":"10.1080/08965803.2022.2060905","title":"The Impact of Public Information on Housing Market Decisions: Evidence from Third-Party AVMs","year":2022,"lang":"en","type":"article","venue":"Journal of Real Estate Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Database transaction; Valuation (finance); Real estate; Listing (finance); Business; Financial economics; Actuarial science; Price on application; Price discovery; Transaction data; Stock price; Economics; Public information; Stock (firearms); Real estate investment trust; Microeconomics; Finance; Database; Computer science; Cost approach","score_opus":0.1876022856602583,"score_gpt":0.3666821374307018,"score_spread":0.17907985177044353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229054665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94672227,0.00028682392,0.00015939823,0.0008276057,0.0002982431,0.0001322322,0.0000883912,0.000005317686,0.051479712],"genre_scores_gemma":[0.956816,0.0427874,0.0001999076,0.0000113109645,0.00008716529,0.000005464549,0.0000042849197,0.0000137167945,0.00007470829],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9976816,0.00032241663,0.0011608397,0.00013040895,0.0002865106,0.00041818008],"domain_scores_gemma":[0.99504155,0.0031268778,0.0010377865,0.00035770968,0.0002819467,0.000154156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015223946,0.00010051888,0.00033969153,0.000699618,0.0006079229,0.00035199907,0.0006913878,0.000047300186,0.00039459838],"category_scores_gemma":[0.0033254593,0.00007771802,0.0002384641,0.00054581487,0.00011762086,0.0011679118,0.00025339637,0.0008063218,0.000053182845],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031710702,0.00033202124,0.21802261,0.000029906925,0.00038704736,0.000041467836,0.0043866965,0.015133868,0.00006166198,0.0029828,0.061717626,0.6937332],"study_design_scores_gemma":[0.0036670677,0.0061860806,0.57626826,0.000486365,0.000022432825,0.00011610704,0.008644203,0.12408033,0.00012243369,0.11262415,0.16693728,0.000845291],"about_ca_topic_score_codex":0.0024556005,"about_ca_topic_score_gemma":0.000068354035,"teacher_disagreement_score":0.6928879,"about_ca_system_score_codex":0.0008776497,"about_ca_system_score_gemma":0.00042025454,"threshold_uncertainty_score":0.5276346},"labels":[],"label_agreement":null},{"id":"W4229510322","doi":"10.32920/ryerson.14648490.v1","title":"An Economic Feasibility Analysis Of Inclusionary Zoning In Toronto, Ontario","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Zoning; Incentive; Legislation; Affordable housing; Business; Government (linguistics); Incentive program; Order (exchange); Finance; Public economics; Economics; Economic growth; Political science; Market economy","score_opus":0.036597867220038605,"score_gpt":0.2687317021589311,"score_spread":0.2321338349388925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229510322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8078722,0.0004610753,0.0005503767,0.000032815755,0.00066919095,0.00019233143,0.0001311713,0.000025622981,0.19006523],"genre_scores_gemma":[0.9947846,0.0004289568,0.0036753702,0.00006574657,0.00006083993,0.000017328328,0.00055888447,0.000032914468,0.00037535268],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965465,0.000049087303,0.0018119122,0.0012158903,0.000028827932,0.00034777506],"domain_scores_gemma":[0.9975217,0.00007002085,0.000846636,0.001404516,0.000029755196,0.00012738122],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015705306,0.00033149248,0.0018495561,0.0006037977,0.000059570957,0.00014193331,0.0005953406,0.00048617163,0.017246753],"category_scores_gemma":[0.000034309818,0.00045714073,0.00061344105,0.00017187587,0.000056173398,0.00045606744,0.0010083809,0.0004308075,0.000026188574],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038676386,0.00028267156,0.94749933,0.00004944808,0.0006165022,0.0000048998986,0.0024360716,0.04243214,0.000004538492,0.006000441,0.000021334172,0.0006139446],"study_design_scores_gemma":[0.0004012684,0.000041495136,0.8612985,0.000035847766,0.00014903626,6.6718576e-7,0.0006944948,0.12982878,0.000015246247,0.006441544,0.00040729984,0.0006858306],"about_ca_topic_score_codex":0.69809216,"about_ca_topic_score_gemma":0.9610084,"teacher_disagreement_score":0.26291627,"about_ca_system_score_codex":0.007029652,"about_ca_system_score_gemma":0.00046046215,"threshold_uncertainty_score":0.99978805},"labels":[],"label_agreement":null},{"id":"W4229752095","doi":"10.1002/div.5816","title":"Cominar Real Estate Investment Trust","year":2007,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Business; Property management; Investment (military); Finance; Estate; Portfolio; Real estate investment trust; Space (punctuation); Real estate development; Corporate Real Estate; Property (philosophy); Investment portfolio; Computer science","score_opus":0.031755777897550554,"score_gpt":0.2300127960284327,"score_spread":0.19825701813088215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229752095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6213851,0.000056909477,0.00046363717,0.00032598604,0.0011379964,0.00012985697,0.00003388518,0.000061943356,0.3764047],"genre_scores_gemma":[0.99162763,0.0033180304,0.0012885954,0.0006196589,0.00023924817,0.000010374285,0.000045160843,0.000056543704,0.0027947575],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.998103,0.000014759245,0.00076121645,0.0004709129,0.00005060237,0.0005994636],"domain_scores_gemma":[0.9989609,0.000055118177,0.00031017413,0.00040424988,0.000013440277,0.00025610183],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014388957,0.00023151687,0.00038613632,0.00026004176,0.00019078368,0.00007203914,0.00030422723,0.00010934167,0.0009578527],"category_scores_gemma":[0.00005699018,0.00028375376,0.00017905721,0.00019497969,0.00008852278,0.0002743832,0.00010953439,0.00017149303,0.0015925592],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025064638,0.00044268125,0.8252355,0.00007624169,0.00030733785,0.00008169346,0.0029792336,0.00045228924,0.00022629443,0.10891783,0.025568213,0.035462044],"study_design_scores_gemma":[0.0013728853,0.00015276531,0.19905955,0.000018425524,0.000028775861,0.0000072620055,0.0005796592,0.0010766622,0.00055560615,0.010397449,0.7858274,0.0009235431],"about_ca_topic_score_codex":0.0011210352,"about_ca_topic_score_gemma":0.00031083397,"teacher_disagreement_score":0.7602592,"about_ca_system_score_codex":0.00027452948,"about_ca_system_score_gemma":0.000018998197,"threshold_uncertainty_score":0.99996144},"labels":[],"label_agreement":null},{"id":"W4229808526","doi":"10.32920/ryerson.14654151","title":"Secondary suites: a methodological approach to estimate their prevalance within the city of Toronto","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Typology; Suite; Renting; Variety (cybernetics); Government (linguistics); Data collection; Secondary market; Geography; Business; Computer science; Data science; Engineering; Statistics; Mathematics; Finance; Civil engineering; Artificial intelligence","score_opus":0.1520963453572259,"score_gpt":0.3093061465233997,"score_spread":0.1572098011661738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229808526","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39388755,0.0035011896,0.04978685,0.0003805764,0.0012391964,0.0008278387,0.0002597078,0.000096027834,0.55002105],"genre_scores_gemma":[0.86955273,0.0005900653,0.12754849,0.0005614777,0.0001894892,0.00016061368,0.00008611937,0.00005713409,0.0012538652],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9969825,0.00016238976,0.001346324,0.0010703909,0.000044108667,0.00039427946],"domain_scores_gemma":[0.9970142,0.0005408942,0.0008721787,0.0013672839,0.00006854585,0.00013685063],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00444956,0.00041868104,0.0014575127,0.00006053282,0.00010555494,0.00024452416,0.0010550696,0.0004473997,0.0012725884],"category_scores_gemma":[0.0008992486,0.00033300172,0.00042729735,0.0000972311,0.0001224803,0.00016294107,0.001441778,0.00064771646,0.000028088316],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064405636,0.0024282525,0.22549736,0.004923643,0.0029321203,0.000013960363,0.04569318,0.03955243,0.00018300572,0.6324209,0.0066873613,0.03902371],"study_design_scores_gemma":[0.0028410696,0.0006103365,0.39117253,0.000807047,0.00024798315,0.0000985811,0.007856285,0.20677844,0.0029949092,0.33532548,0.044010457,0.0072569023],"about_ca_topic_score_codex":0.0026688955,"about_ca_topic_score_gemma":0.0011567696,"teacher_disagreement_score":0.5487672,"about_ca_system_score_codex":0.00026657165,"about_ca_system_score_gemma":0.00014721467,"threshold_uncertainty_score":0.9999122},"labels":[],"label_agreement":null},{"id":"W4230020746","doi":"10.32920/ryerson.14654964","title":"Development charges in Toronto: exploring the disconnect between planning policy and fiscal policy","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Counterintuitive; Economics; Work (physics); Capital (architecture); Policy development; Fiscal policy; Public economics; Urban planning; Subdivision; Finance; Business; Macroeconomics; Economic policy; Engineering; Geography","score_opus":0.10479233175718734,"score_gpt":0.2868258199793697,"score_spread":0.18203348822218235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230020746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8685862,0.0012747445,0.00033515843,0.001938398,0.0004169631,0.00022015972,0.000034693734,0.000043609074,0.12715007],"genre_scores_gemma":[0.99414,0.0022155854,0.0014968835,0.00021667867,0.0011793523,0.000118642005,0.00007261389,0.000052842628,0.00050738425],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99774474,0.000027450888,0.0009268265,0.0007258974,0.000033318873,0.0005417387],"domain_scores_gemma":[0.9989555,0.0001621509,0.00029098944,0.00046412903,0.000008549716,0.00011870137],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00088835723,0.00034542033,0.0007789561,0.0002982277,0.00016902153,0.00046878477,0.00039261754,0.00020952085,0.00016461468],"category_scores_gemma":[0.00023272508,0.00033815822,0.00011109412,0.00013473949,0.00005287493,0.00033571082,0.0011485051,0.000438868,0.000025741365],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019684903,0.00007305793,0.7884547,0.00030036276,0.0003173063,0.000014287153,0.026502552,0.00047564294,0.0000029361368,0.11545262,0.00014650484,0.06824033],"study_design_scores_gemma":[0.00059686176,0.000018261017,0.9409993,0.0003323058,0.000010503636,0.0000052207834,0.004384069,0.0011075129,0.000104234234,0.0112796,0.03991003,0.0012520901],"about_ca_topic_score_codex":0.017128024,"about_ca_topic_score_gemma":0.0047458876,"teacher_disagreement_score":0.15254459,"about_ca_system_score_codex":0.0013002226,"about_ca_system_score_gemma":0.00021553053,"threshold_uncertainty_score":0.999907},"labels":[],"label_agreement":null},{"id":"W4230470145","doi":"10.32920/14656665.v1","title":"The Explanatory Power of Alternative Income Measures on Stock Prices: Evidence for Canadian Real Estate Investment Trusts","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate investment trust; Explanatory power; Cash flow; Stock (firearms); Dividend; Stock exchange; Operating cash flow; Business; Economics; Real estate; Financial economics; Monetary economics; Finance","score_opus":0.1084518922497085,"score_gpt":0.27895241203952376,"score_spread":0.17050051978981526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230470145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6950046,0.0008193342,0.00045920289,0.0009051832,0.0027973077,0.0012508862,0.00046189642,0.000031730633,0.2982699],"genre_scores_gemma":[0.9837964,0.013732404,0.0009317255,0.0004805565,0.00011100668,0.00024623284,0.00004303403,0.000058810645,0.00059978967],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99777627,0.00004063813,0.0009579124,0.00070132175,0.000063573105,0.00046028555],"domain_scores_gemma":[0.9974052,0.000563922,0.00083931856,0.0008389317,0.000120380835,0.0002322508],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015768851,0.00031429253,0.0006673679,0.0003317545,0.00021392148,0.00024476065,0.00069883466,0.0002345202,0.0001150552],"category_scores_gemma":[0.00047049654,0.0002972982,0.0002667735,0.000088488196,0.00010661605,0.00015601107,0.00022382091,0.00033539816,0.000026960144],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014254779,0.0005774364,0.15809718,0.0018820394,0.0045367787,0.000081647166,0.040505797,0.026993375,0.000013567125,0.6840913,0.01720457,0.06459079],"study_design_scores_gemma":[0.005073354,0.0019706588,0.22445762,0.0035496615,0.00026014683,0.000013800845,0.008890215,0.058552507,0.0013064225,0.2617284,0.42685348,0.0073437565],"about_ca_topic_score_codex":0.17956395,"about_ca_topic_score_gemma":0.24132758,"teacher_disagreement_score":0.42236295,"about_ca_system_score_codex":0.0011207571,"about_ca_system_score_gemma":0.00067226146,"threshold_uncertainty_score":0.9999479},"labels":[],"label_agreement":null},{"id":"W4230569675","doi":"10.32920/14666316","title":"Is foreclosure harming or improving the health of the USA?","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Foreclosure; Mental health; Medicine; Recession; Anxiety; Forbearance; Harm; Psychiatry; Demography; Psychology; Economics; Finance; Social psychology","score_opus":0.07568393404439452,"score_gpt":0.2562962726259818,"score_spread":0.1806123385815873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230569675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87567204,0.002019222,0.0037169808,0.011954634,0.005601179,0.0009907436,0.0003041702,0.000044769065,0.09969626],"genre_scores_gemma":[0.988853,0.0012990712,0.0014918068,0.0026264905,0.00023479149,0.000026078227,0.000010985039,0.000048473987,0.005409317],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99798185,0.000035927933,0.0010443236,0.00054964016,0.00003707928,0.00035118964],"domain_scores_gemma":[0.99738854,0.00010474936,0.0012406716,0.0011698375,0.000038639555,0.000057537567],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013721978,0.00023695471,0.00070155854,0.00008279943,0.0002444026,0.00021915633,0.0008125258,0.00022265,0.0017002982],"category_scores_gemma":[0.00016011938,0.00015531118,0.000422395,0.00015805317,0.00008710561,0.00008884688,0.0011684869,0.00056989637,0.000042343658],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013244268,0.00031734694,0.7988474,0.0034512742,0.00092226703,0.000005174169,0.014593324,0.0016830926,0.000019030462,0.05450534,0.02764025,0.09788309],"study_design_scores_gemma":[0.0037223045,0.0005099312,0.29287425,0.0018888344,0.00018969795,0.0000858932,0.007836601,0.18102068,0.0028625494,0.08516429,0.41833487,0.005510106],"about_ca_topic_score_codex":0.0056115077,"about_ca_topic_score_gemma":0.0039086905,"teacher_disagreement_score":0.50597316,"about_ca_system_score_codex":0.00021046116,"about_ca_system_score_gemma":0.0003815567,"threshold_uncertainty_score":0.99921227},"labels":[],"label_agreement":null},{"id":"W4230610168","doi":"10.1007/978-1-4615-0869-4_22","title":"Canada","year":2002,"lang":"en","type":"book-chapter","venue":"Research issues in real estate","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Metropolitan area; Real estate; Population; Geography; Order (exchange); Estate; Business; Demography; Sociology; Finance; Archaeology","score_opus":0.1277741280561108,"score_gpt":0.31527848659990043,"score_spread":0.18750435854378963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230610168","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006990253,0.000731092,0.0000011133228,0.00094577984,0.0003651415,0.00027085177,0.0002991337,0.00002487914,0.996663],"genre_scores_gemma":[0.0074453214,0.19853543,0.000097888114,0.00004047098,0.0002897886,0.000016085041,0.000059843118,0.000118199576,0.79339695],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99749035,0.000025137895,0.00082837464,0.0006875781,0.00013778755,0.00083078194],"domain_scores_gemma":[0.9986567,0.00020534977,0.00021204872,0.00065005606,0.000064856125,0.00021100913],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0016516634,0.0002843479,0.0007383932,0.0006644345,0.00011209594,0.0001249124,0.00052783114,0.00030369888,0.003608298],"category_scores_gemma":[0.00013457732,0.0003701202,0.000089234534,0.00009472742,0.00017965704,0.00011504703,0.00021649506,0.0010681219,0.0020496307],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005294548,0.000048896123,0.0017634161,0.0002587907,0.000097013435,0.00090963335,0.0006244475,0.00014775987,2.920441e-7,0.7106146,0.19856155,0.086920634],"study_design_scores_gemma":[0.00018040401,0.000037642156,0.00015240557,0.00007611308,0.0000011543849,0.0000029574005,0.000012927202,0.0008851243,0.0000011249778,0.061689485,0.93661296,0.00034772078],"about_ca_topic_score_codex":0.8519751,"about_ca_topic_score_gemma":0.74950415,"teacher_disagreement_score":0.7380514,"about_ca_system_score_codex":0.0015646566,"about_ca_system_score_gemma":0.00035021149,"threshold_uncertainty_score":0.99987507},"labels":[],"label_agreement":null},{"id":"W4230700341","doi":"10.2139/ssrn.2332033","title":"Combining Monte Carlo Simulations and Options to Manage the Risk of Real Estate Portfolios","year":2011,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Monte Carlo method; Real estate; Actuarial science; Business; Computer science; Econometrics; Economics; Finance; Mathematics; Statistics","score_opus":0.02178508952657725,"score_gpt":0.22372506461461802,"score_spread":0.20193997508804076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230700341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9586495,0.001039146,0.003139817,0.00027842028,0.00047755998,0.00029836374,0.00015558086,0.000021188982,0.035940398],"genre_scores_gemma":[0.89530134,0.103686675,0.00030559546,0.00002147313,0.0001261251,0.000008642434,0.0000067283017,0.000041944306,0.0005014658],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976393,0.000052637093,0.0008608107,0.0003556895,0.000035781693,0.0010557566],"domain_scores_gemma":[0.9982316,0.000079473575,0.0010807189,0.00045222195,0.00005056961,0.00010541751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024687527,0.0002306302,0.00052217406,0.00037009188,0.00031595872,0.00012382779,0.00042223584,0.00016218422,0.000036681533],"category_scores_gemma":[0.00009255691,0.00022786597,0.00020901246,0.00012436415,0.000070470516,0.00012523765,0.00031038895,0.0020366989,0.000022655038],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017554587,0.00020425842,0.17046183,0.000078963254,0.0023176945,0.000006606916,0.010111724,0.16539592,0.000004699197,0.60434806,0.0001611274,0.04673354],"study_design_scores_gemma":[0.0006315637,0.00019440331,0.025584761,0.000056621655,0.00017519288,0.000052622363,0.0012173582,0.022535639,0.0000027771243,0.94604105,0.0029602367,0.0005477665],"about_ca_topic_score_codex":0.0048441286,"about_ca_topic_score_gemma":0.0053845886,"teacher_disagreement_score":0.34169298,"about_ca_system_score_codex":0.0004473213,"about_ca_system_score_gemma":0.0002886745,"threshold_uncertainty_score":0.9292105},"labels":[],"label_agreement":null},{"id":"W4231001628","doi":"10.1093/ww/9780199540884.013.u232643","title":"Thorpe, John Henry, (7 Aug. 1887–31 Oct. 1944), KC 1935; JP 1925; Recorder of Blackburn since 1925; Deputy Chairman Middlesex Quarter Sessions, 1941; Chairman Appeal Tribunal (Architect’s Registration Act 1931), 1940; a Bencher of Hon. Society of Inner Temple, 1941; Barrister-at-law; Chairman Central Price Regulation Committee since 1942; Capt. (TF)","year":2007,"lang":"en","type":"reference-entry","venue":"Who Was Who","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tribunal; Appeal; Quarter (Canadian coin); Management; Art; Engineering; Library science; History; Law; Political science; Computer science; Archaeology; Economics","score_opus":0.03357706878221525,"score_gpt":0.2466546112455586,"score_spread":0.21307754246334334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231001628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5226368,0.009793163,0.010895052,0.0036399143,0.006391116,0.00619113,0.010155166,0.0004714855,0.42982623],"genre_scores_gemma":[0.93296945,0.021275254,0.0038616334,0.00050054083,0.0023165673,0.00012622171,0.005501457,0.0004774626,0.032971438],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.989391,0.00035121146,0.0053627514,0.0021845151,0.00065306394,0.002057437],"domain_scores_gemma":[0.98936725,0.00050997495,0.00673559,0.0023255213,0.00044029852,0.00062137],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0024086777,0.0016364388,0.0038083019,0.0010750379,0.0007786095,0.00020735983,0.0015398377,0.0020264217,0.0004960712],"category_scores_gemma":[0.0001785673,0.0018552135,0.0014971824,0.0011552222,0.0011221049,0.0008462019,0.00061853003,0.001902085,0.00007936808],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003870989,0.0045060944,0.14156501,0.015554877,0.003730486,0.00006637204,0.017404042,0.00242578,0.0004060562,0.027142342,0.7468187,0.03650923],"study_design_scores_gemma":[0.006938947,0.0016164557,0.07960711,0.005057146,0.00050318206,0.00010609046,0.000874254,0.020675318,0.0012502769,0.0041891304,0.87430406,0.0048780614],"about_ca_topic_score_codex":0.0051000174,"about_ca_topic_score_gemma":0.005902958,"teacher_disagreement_score":0.41033268,"about_ca_system_score_codex":0.0014318577,"about_ca_system_score_gemma":0.0007304748,"threshold_uncertainty_score":0.9996383},"labels":[],"label_agreement":null},{"id":"W4231357172","doi":"10.1108/oxan-db208110","title":"High house prices may be global systemic risk","year":2016,"lang":"en","type":"other","venue":"Emerald expert briefings","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Boom; Economics; House price; Household debt; Quarter (Canadian coin); Interest rate; Debt; Emerging markets; Great recession; Falling (accident); Index (typography); Recession; Monetary economics; Labour economics; Macroeconomics; Geography","score_opus":0.017341836197558188,"score_gpt":0.22487748481671097,"score_spread":0.20753564861915277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231357172","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000796761,0.014560624,0.002748323,0.040189084,0.0037360124,0.0008686578,0.0025077276,0.0019554808,0.93263733],"genre_scores_gemma":[0.004179353,0.060081247,0.004875482,0.072088234,0.0060694795,0.00022326315,0.00018024027,0.0030605274,0.84924215],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99713093,0.000027974962,0.0009603111,0.0010762089,0.000066842505,0.00073770905],"domain_scores_gemma":[0.99742734,0.000047882066,0.0014047078,0.00090275536,0.000018458371,0.00019888002],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00038552695,0.00062271534,0.0012224575,0.00025455587,0.00014876421,0.00021560153,0.00066334073,0.00065013574,0.0094738],"category_scores_gemma":[0.00008216011,0.00065234856,0.00033803078,0.00015049284,0.00013321581,0.00020693152,0.00017539329,0.00024454563,0.008015967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017669425,0.000037464528,0.0006517596,0.00006711796,0.00020146265,0.000008774666,0.00016100121,0.0000023615987,0.0000016597035,0.016408646,0.9804115,0.002030557],"study_design_scores_gemma":[0.0007054884,0.000027197557,0.00011987604,0.00020043719,0.000014783703,0.000016987344,0.0000042284846,0.000028629953,0.0000052174823,0.0029334975,0.9950579,0.00088574813],"about_ca_topic_score_codex":0.13321322,"about_ca_topic_score_gemma":0.000590542,"teacher_disagreement_score":0.13262269,"about_ca_system_score_codex":0.000420569,"about_ca_system_score_gemma":0.00004668106,"threshold_uncertainty_score":0.9995928},"labels":[],"label_agreement":null},{"id":"W4232046918","doi":"10.1146/annurev-financial-102620-103311","title":"Climate Finance","year":2021,"lang":"en","type":"article","venue":"Annual Review of Financial Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":821,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University","keywords":"Climate Finance; Climate change; Climate risk; Context (archaeology); Real estate; Asset (computer security); Financial economics; Construct (python library); Economics; Business; Finance; Geography; Computer science; Ecology","score_opus":0.01571408536427924,"score_gpt":0.22750847466096433,"score_spread":0.2117943892966851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232046918","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16758564,0.16642377,0.00044822608,0.002975482,0.0027879295,0.00053554884,0.0024867095,0.0000793784,0.6566773],"genre_scores_gemma":[0.115879565,0.87525594,0.0027308075,0.0050027943,0.00031128884,0.000031565174,0.0001065136,0.00005713248,0.0006243647],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974268,0.000021235031,0.0015161495,0.0005524678,0.000020028732,0.0004632815],"domain_scores_gemma":[0.99825686,0.00006568258,0.0008404122,0.0006341861,0.00011952479,0.000083359795],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00094715407,0.00023586802,0.0011163986,0.00009210648,0.00009573361,0.000030342455,0.00032714702,0.00014427255,0.00055360206],"category_scores_gemma":[0.0006083788,0.0003166692,0.0003888566,0.00024342023,0.00009079263,0.00039996704,0.0001709996,0.00017073184,0.0008715181],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021255655,0.00014950059,0.0037802837,0.0029274845,0.000026572627,0.000014663578,0.00015635995,0.00004780001,0.0000027059202,0.8909625,0.009484076,0.0924268],"study_design_scores_gemma":[0.00037995123,0.000052668467,0.0045100325,0.0012659349,0.000015592594,0.00002050133,0.000021432055,0.00017526858,0.00019662759,0.021476312,0.9714133,0.00047233736],"about_ca_topic_score_codex":0.00002699647,"about_ca_topic_score_gemma":0.000038162667,"teacher_disagreement_score":0.96192926,"about_ca_system_score_codex":0.00010461615,"about_ca_system_score_gemma":0.00019098542,"threshold_uncertainty_score":0.99992853},"labels":[],"label_agreement":null},{"id":"W4232199614","doi":"10.24124/2010/bpgub1431","title":"Evaluating investment in real estate projects","year":2010,"lang":"en","type":"dissertation","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Sciencetech (Canada); University of Northern British Columbia","funders":"","keywords":"Real estate; Capitalization rate; Valuation (finance); Real estate investment trust; Cost approach; Finance; Income approach; Boom; Business; Real estate development; Bust; Financial economics; Cash flow; Corporate Real Estate; Rate of return; Economics; Engineering","score_opus":0.08654697664731502,"score_gpt":0.31156544887544235,"score_spread":0.22501847222812732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232199614","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49150333,0.000019724492,0.0000014313204,0.00001936546,0.0009018304,0.00023687592,0.0000103010625,0.000029915544,0.5072772],"genre_scores_gemma":[0.8272967,0.01467835,0.019910192,0.00072361954,0.0010481442,0.00075693266,0.0040521827,0.0005479859,0.1309859],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99802786,0.000014963618,0.0009409921,0.0006077464,0.000033024222,0.0003754191],"domain_scores_gemma":[0.99892807,0.000045216166,0.0005623399,0.00036529143,0.000024790988,0.000074276504],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011275641,0.00026900473,0.0005743425,0.0005164195,0.00006470806,0.00012230137,0.00022552471,0.00043740968,0.0007301734],"category_scores_gemma":[0.00015073581,0.00033474047,0.000107974825,0.0001685096,0.00001778037,0.00016706507,0.000027169248,0.0005238202,0.00068281544],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064082275,0.0010269653,0.12655929,0.0017457793,0.0003307474,0.00006805717,0.04085459,0.00064475305,0.0008065856,0.28250477,0.0041567464,0.5406609],"study_design_scores_gemma":[0.010305362,0.001262552,0.3292424,0.0008655404,0.00013172634,0.00001479872,0.010656991,0.14028352,0.0021483395,0.30924544,0.18570209,0.010141247],"about_ca_topic_score_codex":0.0047537056,"about_ca_topic_score_gemma":0.02421751,"teacher_disagreement_score":0.53051966,"about_ca_system_score_codex":0.00022188292,"about_ca_system_score_gemma":0.00013733961,"threshold_uncertainty_score":0.9999105},"labels":[],"label_agreement":null},{"id":"W4232207940","doi":"10.2139/ssrn.1361242","title":"Assessing Misspecified Asset Pricing Models with Empirical Likelihood Estimators","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Econometrics; Estimator; Capital asset pricing model; Economics; Asset (computer security); Arbitrage pricing theory; Financial economics; Actuarial science; Computer science; Mathematics; Statistics","score_opus":0.03682963789164192,"score_gpt":0.260658042012765,"score_spread":0.22382840412112306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232207940","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6720837,0.0014743754,0.2438707,0.0020479718,0.0002454705,0.00012930203,0.0000029582418,0.0000880947,0.08005746],"genre_scores_gemma":[0.9941396,0.0014506441,0.0034862235,0.00035734897,0.00030979994,0.0000017889481,0.000004342078,0.000044850745,0.00020541485],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996522,0.000026559666,0.0006830826,0.00040832613,0.00006531072,0.0022946862],"domain_scores_gemma":[0.9989959,0.000043925327,0.00048135727,0.00026159253,0.00004102993,0.00017617916],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021047406,0.0002541608,0.00048728785,0.0002910945,0.0003403096,0.0005243824,0.00031990782,0.00013494224,0.000044174758],"category_scores_gemma":[0.000046798497,0.0002547982,0.00012118124,0.00026522262,0.000035284524,0.001181093,0.000022167056,0.0014650908,0.0000880827],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024005544,0.0004219531,0.05990461,0.000016945225,0.00039304802,0.00004320464,0.0009196356,0.009664486,0.000051677187,0.8346326,0.0007678295,0.09294397],"study_design_scores_gemma":[0.0010607544,0.00045174506,0.0047872164,0.00003443645,0.00002072273,0.00046760225,0.0005115438,0.029087236,0.000015204796,0.9612579,0.0017853377,0.0005203528],"about_ca_topic_score_codex":0.000026769727,"about_ca_topic_score_gemma":0.00007318811,"teacher_disagreement_score":0.32205594,"about_ca_system_score_codex":0.001269843,"about_ca_system_score_gemma":0.000750039,"threshold_uncertainty_score":0.9999904},"labels":[],"label_agreement":null},{"id":"W4232389537","doi":"10.32920/14656665","title":"The Explanatory Power of Alternative Income Measures on Stock Prices: Evidence for Canadian Real Estate Investment Trusts","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate investment trust; Explanatory power; Dividend; Stock (firearms); Cash flow; Stock exchange; Economics; Operating cash flow; Business; Real estate; Financial economics; Monetary economics; Finance","score_opus":0.1084518922497085,"score_gpt":0.27895241203952376,"score_spread":0.17050051978981526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232389537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6950046,0.0008193342,0.00045920289,0.0009051832,0.0027973077,0.0012508862,0.00046189642,0.000031730633,0.2982699],"genre_scores_gemma":[0.9837964,0.013732404,0.0009317255,0.0004805565,0.00011100668,0.00024623284,0.00004303403,0.000058810645,0.00059978967],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99777627,0.00004063813,0.0009579124,0.00070132175,0.000063573105,0.00046028555],"domain_scores_gemma":[0.9974052,0.000563922,0.00083931856,0.0008389317,0.000120380835,0.0002322508],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015768851,0.00031429253,0.0006673679,0.0003317545,0.00021392148,0.00024476065,0.00069883466,0.0002345202,0.0001150552],"category_scores_gemma":[0.00047049654,0.0002972982,0.0002667735,0.000088488196,0.00010661605,0.00015601107,0.00022382091,0.00033539816,0.000026960144],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014254779,0.0005774364,0.15809718,0.0018820394,0.0045367787,0.000081647166,0.040505797,0.026993375,0.000013567125,0.6840913,0.01720457,0.06459079],"study_design_scores_gemma":[0.005073354,0.0019706588,0.22445762,0.0035496615,0.00026014683,0.000013800845,0.008890215,0.058552507,0.0013064225,0.2617284,0.42685348,0.0073437565],"about_ca_topic_score_codex":0.17956395,"about_ca_topic_score_gemma":0.24132758,"teacher_disagreement_score":0.42236295,"about_ca_system_score_codex":0.0011207571,"about_ca_system_score_gemma":0.00067226146,"threshold_uncertainty_score":0.9999479},"labels":[],"label_agreement":null},{"id":"W4232610760","doi":"10.2139/ssrn.1364210","title":"Real Interest Rates, Expected Inflation, and Real Estate Returns: A Comparison of the U.S. And Canada","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Real interest rate; Inflation (cosmology); Economics; Interest rate; Financial economics; Monetary economics; Econometrics; Actuarial science; Finance","score_opus":0.01609094822956332,"score_gpt":0.2240285673966305,"score_spread":0.20793761916706716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232610760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99043185,0.00055144547,0.000039848164,0.0008418297,0.00013375087,0.00006523379,0.000008065918,0.000005291837,0.007922692],"genre_scores_gemma":[0.97717,0.022574326,0.00003455403,0.00003121054,0.00006418767,5.9615394e-7,0.000002862991,0.00000920416,0.000113068796],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998702,0.000023156963,0.00051266357,0.00015233872,0.0000241398,0.00058574113],"domain_scores_gemma":[0.9993151,0.00003182727,0.00044280532,0.00012718565,0.000026996777,0.000056077504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060857565,0.00010409427,0.00026994693,0.00006903253,0.00014732916,0.000057381974,0.0001331952,0.00005129783,0.000008378202],"category_scores_gemma":[0.000051923376,0.00009499905,0.00003338179,0.00008061703,0.000045249588,0.00013561147,0.000026156637,0.00050759304,7.300872e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099535566,0.00004003807,0.86394805,0.000008730544,0.0000929802,0.0000011533303,0.0012168273,0.000044448254,0.00008552548,0.0984352,0.00041743764,0.0356101],"study_design_scores_gemma":[0.0017316813,0.00044861107,0.74779785,0.0000477161,0.000029129687,0.00016140757,0.0040581115,0.0039425045,0.00013640347,0.23621593,0.0049398765,0.0004907871],"about_ca_topic_score_codex":0.1717518,"about_ca_topic_score_gemma":0.7937344,"teacher_disagreement_score":0.6219826,"about_ca_system_score_codex":0.00049939787,"about_ca_system_score_gemma":0.0005942401,"threshold_uncertainty_score":0.8337636},"labels":[],"label_agreement":null},{"id":"W4233093359","doi":"10.17722/ijme.v5i3.814","title":"Exploration of Risk taking behaviors for Financial decision making in Malaysia","year":2015,"lang":"en","type":"article","venue":"International Journal of Management Excellence","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Malay; Significant difference; Psychology; Investment (military); Ethnic group; Position (finance); Financial risk; Social psychology; Demography; Actuarial science; Finance; Economics; Sociology; Statistics; Political science; Mathematics","score_opus":0.058697437072961364,"score_gpt":0.287243346282315,"score_spread":0.22854590920935364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233093359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7484103,0.00016512016,0.24257374,0.00014617594,0.002033074,0.00012628916,0.000020065481,0.0000038178146,0.0065214103],"genre_scores_gemma":[0.98063993,0.00063525734,0.018489486,0.000029325856,0.00015828712,0.000005458508,0.00000214266,0.000009670489,0.000030452436],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987757,0.0000108480135,0.0008771681,0.00013613926,0.00008935968,0.00011074399],"domain_scores_gemma":[0.9978628,0.00008805633,0.0017916493,0.00009325158,0.00013340816,0.000030830415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013942694,0.00007719865,0.00021337168,0.0005379578,0.000018216046,0.000047140624,0.0003840052,0.000040324718,0.00003783251],"category_scores_gemma":[0.00047324918,0.00009130293,0.00009899853,0.000095262345,0.000019375902,0.0005786696,0.00007448703,0.000084435786,0.000012514624],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017221461,0.00054620195,0.419647,0.000060026032,0.00013754038,0.0000930141,0.003846436,0.10910038,0.000011809406,0.086349145,0.0025164792,0.37596983],"study_design_scores_gemma":[0.007596869,0.00043812135,0.16537353,0.0011342583,0.000062114406,0.000024585295,0.0019559916,0.053227592,0.00016720679,0.74378115,0.025570033,0.00066853536],"about_ca_topic_score_codex":0.00002434235,"about_ca_topic_score_gemma":0.000019447549,"teacher_disagreement_score":0.657432,"about_ca_system_score_codex":0.00017899444,"about_ca_system_score_gemma":0.000018487925,"threshold_uncertainty_score":0.37232253},"labels":[],"label_agreement":null},{"id":"W4233328195","doi":"10.1002/9781444307177.ch11","title":"“Just Give me a Number!” Practical Values for the Social Discount Rate","year":2008,"lang":"en","type":"other","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"","keywords":"Discounting; Social discount rate; Economics; Econometrics; Cost–benefit analysis; Finance; Ecology; Biology","score_opus":0.06743168984777699,"score_gpt":0.2967202075366278,"score_spread":0.22928851768885083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233328195","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00007187848,0.00029756493,0.007263823,0.0029187347,0.0014119066,0.0005740093,0.00040960006,0.00011573014,0.98693675],"genre_scores_gemma":[0.0030245401,0.004844022,0.0024672188,0.0008815167,0.003096092,0.00015555897,0.00007541062,0.00059513195,0.9848605],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985062,0.000019734434,0.00051302405,0.0005142401,0.00002653313,0.0004202521],"domain_scores_gemma":[0.99867797,0.0003167886,0.0005798215,0.00034822567,0.000017266037,0.00005994394],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00058948784,0.0003102752,0.0006615655,0.00010905865,0.00031500583,0.00016378224,0.00028435185,0.0003902543,0.009063992],"category_scores_gemma":[0.0001542676,0.00026670852,0.00032870172,0.00007960342,0.00020773661,0.000106917476,0.000080011414,0.00024054945,0.003091383],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002650773,0.00004884659,0.00030402502,0.00003823404,0.00020815285,0.000002244045,0.00030389463,0.0000015749326,8.2494374e-8,0.10469991,0.8940468,0.0003197229],"study_design_scores_gemma":[0.0004278058,0.000016397584,0.0001358386,0.000010142791,0.0000330019,0.000008437422,0.00022872844,0.0011804793,9.656519e-7,0.0071900394,0.990357,0.00041118648],"about_ca_topic_score_codex":0.0006600973,"about_ca_topic_score_gemma":0.00022690902,"teacher_disagreement_score":0.09750987,"about_ca_system_score_codex":0.00013695455,"about_ca_system_score_gemma":0.00007876803,"threshold_uncertainty_score":0.9999785},"labels":[],"label_agreement":null},{"id":"W4233375597","doi":"10.32920/ryerson.14655141","title":"Options for Homes in Metro Vancouver: the creation of cost-effective home ownership opportunities","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Panacea (medicine); Business; Car ownership; Profit (economics); Economic growth; Labour economics; Economics; Public transport; Transport engineering; Engineering","score_opus":0.09262025309155321,"score_gpt":0.2643739737268774,"score_spread":0.17175372063532418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233375597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67697126,0.004240389,0.045386996,0.0025436287,0.0066860183,0.0078817615,0.0017306599,0.00011930667,0.25443998],"genre_scores_gemma":[0.99124646,0.00327332,0.0019172244,0.00011340283,0.00013548887,0.0013722131,0.00025947596,0.000041928022,0.0016404657],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983607,0.000052575164,0.0008356025,0.00045923094,0.000026596064,0.0002653003],"domain_scores_gemma":[0.9981638,0.0005402125,0.0006481038,0.0005129667,0.000086785636,0.00004810973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014834113,0.0002321686,0.00080175564,0.00045678442,0.000079792575,0.00014242444,0.00031520918,0.0002724136,0.00032204625],"category_scores_gemma":[0.00022882172,0.00022089979,0.00033171408,0.00014231123,0.00010238274,0.00018169032,0.00022967583,0.00028320472,0.000007324107],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035767726,0.0008169577,0.22377169,0.002024145,0.0012823949,0.000008391786,0.0054931235,0.027302109,0.000006442516,0.6196018,0.010064328,0.10927096],"study_design_scores_gemma":[0.0057019214,0.0004653548,0.12401708,0.0007547477,0.0003075419,0.0000022159443,0.05168331,0.10561713,0.0006702796,0.5486272,0.15848665,0.0036665837],"about_ca_topic_score_codex":0.00085897825,"about_ca_topic_score_gemma":0.009428525,"teacher_disagreement_score":0.3142752,"about_ca_system_score_codex":0.000351,"about_ca_system_score_gemma":0.000111603185,"threshold_uncertainty_score":0.9008032},"labels":[],"label_agreement":null},{"id":"W4233539347","doi":"10.17016/feds.2014.73","title":"Long-Term Vacant Housing in the United States","year":2014,"lang":"en","type":"article","venue":"Finance and Economics Discussion Series","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Boom; Quarter (Canadian coin); Term (time); Stock (firearms); Vacancy defect; Economics; Supply and demand; Labour economics; Demographic economics; Geography; Environmental science; Macroeconomics; Environmental engineering","score_opus":0.02071033222810835,"score_gpt":0.21100278473260778,"score_spread":0.19029245250449944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233539347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98716235,0.00019032574,0.00038948262,0.003841309,0.0003334875,0.0001507658,0.000036244724,0.0000268668,0.007869192],"genre_scores_gemma":[0.9905393,0.0076920497,0.00020871693,0.00087626267,0.0001234715,0.000026734866,0.0000841426,0.000031840573,0.0004174513],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998495,0.000032665128,0.000626661,0.00044268992,0.000015117652,0.00038789384],"domain_scores_gemma":[0.9991934,0.00006532782,0.00028689133,0.0003958244,0.00000952451,0.00004905551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008572833,0.00021919252,0.00042190793,0.00023613274,0.00024844616,0.00027117337,0.0002846818,0.00010929675,0.00007107497],"category_scores_gemma":[0.000037663896,0.00015722022,0.000070956376,0.00017939656,0.00013547263,0.0005660738,0.00010046103,0.00017717034,0.00012331443],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000152307,0.00013949588,0.7184176,0.0000985722,0.000028439692,0.0000072309135,0.005228695,0.0033293867,0.0000030022436,0.24480435,0.0011321048,0.02665885],"study_design_scores_gemma":[0.0012936074,0.00018293486,0.5202048,0.00010271113,0.00000979262,0.00002689678,0.0012189391,0.016964186,0.000038795974,0.1024452,0.3565981,0.0009140359],"about_ca_topic_score_codex":0.00017555336,"about_ca_topic_score_gemma":0.00056570215,"teacher_disagreement_score":0.355466,"about_ca_system_score_codex":0.00006338532,"about_ca_system_score_gemma":0.000013827327,"threshold_uncertainty_score":0.64112544},"labels":[],"label_agreement":null},{"id":"W4233566591","doi":"10.1111/1468-0319.12306","title":"Slow but stable(ish) house price growth lies ahead","year":2017,"lang":"en","type":"article","venue":"Economic Outlook","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Inflation (cosmology); Slowdown; Earnings; Earnings growth; Wage; Population; Population growth; Monetary economics; Quarter (Canadian coin); Labour economics; Demographic economics; Finance; Economic growth","score_opus":0.02824187178035574,"score_gpt":0.21110136570655222,"score_spread":0.1828594939261965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233566591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49938485,0.00029935146,0.00028299252,0.0013658365,0.0026481247,0.00025675932,0.00020320738,0.00021698892,0.49534187],"genre_scores_gemma":[0.9793673,0.0011449024,0.00093552325,0.00041361566,0.0009762118,0.000040770297,0.0000148427725,0.00016372166,0.016943127],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99720806,0.000017346634,0.0010242745,0.0009150992,0.000026509362,0.000808688],"domain_scores_gemma":[0.9969575,0.000094171606,0.0010679932,0.0015959071,0.00002602977,0.0002584198],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009974758,0.00039861968,0.00087977975,0.00025700696,0.00082995027,0.0010920475,0.0012187505,0.000248542,0.0015595201],"category_scores_gemma":[0.0002441782,0.0005232433,0.00028263396,0.000029947738,0.0002468046,0.0014430974,0.00036177822,0.0002898872,0.016667647],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001734399,0.00026634271,0.61309624,0.00016997459,0.00046048217,0.00003602035,0.0013893086,0.00033027108,0.000042048538,0.31059796,0.06631869,0.0071192207],"study_design_scores_gemma":[0.004150691,0.00020325914,0.1588776,0.00007300417,0.00004884635,0.000037628077,0.00032501778,0.009224834,0.0008647042,0.12338435,0.69990736,0.0029027343],"about_ca_topic_score_codex":0.0018422195,"about_ca_topic_score_gemma":0.00031968206,"teacher_disagreement_score":0.6335887,"about_ca_system_score_codex":0.0005256771,"about_ca_system_score_gemma":0.00010335137,"threshold_uncertainty_score":0.9999449},"labels":[],"label_agreement":null},{"id":"W4234189343","doi":"10.32920/ryerson.14648583","title":"Is There a Link Between Growth Management Regulations and Housing Affordability in the Town of Markham?","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Growth management; Plan (archaeology); Business; Public economics; Economics; Geography; Land use; Engineering","score_opus":0.04585423903553326,"score_gpt":0.2342057775980705,"score_spread":0.18835153856253725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234189343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8029112,0.0004851551,0.0015074891,0.0031192338,0.00015327238,0.00041276406,0.00008648974,0.00001666296,0.1913077],"genre_scores_gemma":[0.9938202,0.0017269872,0.0038374504,0.00013760869,0.00011819481,0.000026207477,0.000046006535,0.000022761678,0.00026457952],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998267,0.000041520543,0.0008687281,0.0005678725,0.000034156234,0.00022073287],"domain_scores_gemma":[0.9986814,0.00013082783,0.00039130103,0.000734385,0.000026652511,0.000035405657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001470962,0.00020746091,0.00060664647,0.00021880622,0.000073165436,0.000194926,0.0003411634,0.00023111976,0.00040155507],"category_scores_gemma":[0.000038824717,0.0002013669,0.0001658564,0.00017949007,0.00008679624,0.00010805461,0.0005861988,0.00031465918,0.0000057343623],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010277295,0.00006308901,0.95208555,0.0006239766,0.00017380173,0.0000034512298,0.0029373397,0.00012235066,1.9489035e-7,0.02643858,0.00022790238,0.017313454],"study_design_scores_gemma":[0.0003436227,0.00001566623,0.8295287,0.0001255897,0.000034851553,7.7543064e-7,0.00078940904,0.0020688535,0.00001200907,0.16337296,0.0033479875,0.0003595565],"about_ca_topic_score_codex":0.001171638,"about_ca_topic_score_gemma":0.00035244384,"teacher_disagreement_score":0.19104312,"about_ca_system_score_codex":0.00011119217,"about_ca_system_score_gemma":0.000025533476,"threshold_uncertainty_score":0.82115036},"labels":[],"label_agreement":null},{"id":"W4234843904","doi":"10.15396/eres2021_34","title":"European Statistics on Housing Prices and beyond","year":2021,"lang":"en","type":"article","venue":"28th Annual European Real Estate Society Conference","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic rent; Economic statistics; Quarter (Canadian coin); Official statistics; Urbanization; Economics; Summary statistics; Quality (philosophy); Economic indicator; Business; Public economics; Statistics; Economic growth; Geography; Macroeconomics; Econometrics","score_opus":0.026119015138616343,"score_gpt":0.21734709611290692,"score_spread":0.1912280809742906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234843904","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19531263,0.00007135188,0.005316982,0.0003144019,0.0003155209,0.00009393999,0.0010531219,0.00011330059,0.79740876],"genre_scores_gemma":[0.94597346,0.03179585,0.0172418,0.0017808961,0.0003144147,0.0000021805863,0.0002966991,0.00016476685,0.0024299575],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99802506,0.00011802711,0.00060511817,0.00071327074,0.000056895955,0.00048161816],"domain_scores_gemma":[0.9988054,0.000110420326,0.00034308768,0.0003825453,0.00012436617,0.00023418572],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007901073,0.00028279767,0.00038944927,0.000050557792,0.00029910094,0.00041415423,0.00024041139,0.00005320007,0.00017123649],"category_scores_gemma":[0.00011340119,0.0003429966,0.00011561953,0.00015718481,0.00020487815,0.00029083574,0.0002444076,0.00031440222,0.0007330291],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099037745,0.00046333746,0.014113934,0.00035182328,0.0003250384,0.0007706577,0.04181085,0.0004852527,0.00015106324,0.18659021,0.027457727,0.72738105],"study_design_scores_gemma":[0.003633712,0.0007150639,0.12401616,0.0001881082,0.000078672965,0.000071951894,0.0147230895,0.021809954,0.00011847774,0.01200308,0.8195491,0.003092638],"about_ca_topic_score_codex":0.00010225886,"about_ca_topic_score_gemma":0.00003917863,"teacher_disagreement_score":0.7949788,"about_ca_system_score_codex":0.000068025336,"about_ca_system_score_gemma":0.0000715309,"threshold_uncertainty_score":0.9999022},"labels":[],"label_agreement":null},{"id":"W4234933016","doi":"10.32920/ryerson.14648490","title":"An Economic Feasibility Analysis Of Inclusionary Zoning In Toronto, Ontario","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Zoning; Incentive; Legislation; Affordable housing; Business; Incentive program; Government (linguistics); Order (exchange); Finance; Public economics; Economics; Economic growth; Political science; Market economy","score_opus":0.036597867220038605,"score_gpt":0.2687317021589311,"score_spread":0.2321338349388925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234933016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8078722,0.0004610753,0.0005503767,0.000032815755,0.00066919095,0.00019233143,0.0001311713,0.000025622981,0.19006523],"genre_scores_gemma":[0.9947846,0.0004289568,0.0036753702,0.00006574657,0.00006083993,0.000017328328,0.00055888447,0.000032914468,0.00037535268],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965465,0.000049087303,0.0018119122,0.0012158903,0.000028827932,0.00034777506],"domain_scores_gemma":[0.9975217,0.00007002085,0.000846636,0.001404516,0.000029755196,0.00012738122],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015705306,0.00033149248,0.0018495561,0.0006037977,0.000059570957,0.00014193331,0.0005953406,0.00048617163,0.017246753],"category_scores_gemma":[0.000034309818,0.00045714073,0.00061344105,0.00017187587,0.000056173398,0.00045606744,0.0010083809,0.0004308075,0.000026188574],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038676386,0.00028267156,0.94749933,0.00004944808,0.0006165022,0.0000048998986,0.0024360716,0.04243214,0.000004538492,0.006000441,0.000021334172,0.0006139446],"study_design_scores_gemma":[0.0004012684,0.000041495136,0.8612985,0.000035847766,0.00014903626,6.6718576e-7,0.0006944948,0.12982878,0.000015246247,0.006441544,0.00040729984,0.0006858306],"about_ca_topic_score_codex":0.69809216,"about_ca_topic_score_gemma":0.9610084,"teacher_disagreement_score":0.26291627,"about_ca_system_score_codex":0.007029652,"about_ca_system_score_gemma":0.00046046215,"threshold_uncertainty_score":0.99978805},"labels":[],"label_agreement":null},{"id":"W4235080745","doi":"10.1201/9781315161266-8","title":"North America","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography","score_opus":0.030955183140003395,"score_gpt":0.18479464068324433,"score_spread":0.15383945754324094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235080745","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00017972721,0.00023678645,0.0006010144,0.00012683007,0.0008170969,0.00011567344,0.00018617671,0.000096515665,0.9976402],"genre_scores_gemma":[0.0014603342,0.0016631876,0.00088602636,0.00073268305,0.0007869347,0.0000041628928,0.00012681622,0.00011141014,0.9942284],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998525,0.0000012645916,0.00063567277,0.0005458854,0.000017713639,0.00027444772],"domain_scores_gemma":[0.998818,0.000023779787,0.0004709456,0.0005569336,0.000023757038,0.00010662648],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00011605847,0.00029367578,0.000636368,0.00023623597,0.00007661281,0.00008212475,0.00029192102,0.00025791774,0.059415933],"category_scores_gemma":[0.000015858745,0.0003630309,0.00023006984,0.00002298041,0.00014084642,0.000094987685,0.00010629955,0.00020269814,0.07121837],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017801818,0.000021016765,0.0013886249,0.000037069636,0.00018880912,0.000009504162,0.00020672655,0.0000062574863,3.2357626e-8,0.74026066,0.23982888,0.018034624],"study_design_scores_gemma":[0.00008876709,0.000040107952,0.00006292261,0.000008047717,0.0000059383406,0.0000015440536,0.0000026825155,0.0001530873,2.0812081e-7,0.12645823,0.87277067,0.0004077778],"about_ca_topic_score_codex":0.00005141922,"about_ca_topic_score_gemma":0.00024087513,"teacher_disagreement_score":0.6329418,"about_ca_system_score_codex":0.00012373245,"about_ca_system_score_gemma":0.000023279177,"threshold_uncertainty_score":0.99988216},"labels":[],"label_agreement":null},{"id":"W4235223590","doi":"10.32920/ryerson.14654151.v1","title":"Secondary suites: a methodological approach to estimate their prevalance within the city of Toronto","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Typology; Suite; Renting; Variety (cybernetics); Government (linguistics); Data collection; Secondary market; Geography; Business; Data science; Regional science; Computer science; Engineering; Statistics; Mathematics; Finance; Civil engineering; Artificial intelligence","score_opus":0.1520963453572259,"score_gpt":0.3093061465233997,"score_spread":0.1572098011661738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235223590","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39388755,0.0035011896,0.04978685,0.0003805764,0.0012391964,0.0008278387,0.0002597078,0.000096027834,0.55002105],"genre_scores_gemma":[0.86955273,0.0005900653,0.12754849,0.0005614777,0.0001894892,0.00016061368,0.00008611937,0.00005713409,0.0012538652],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9969825,0.00016238976,0.001346324,0.0010703909,0.000044108667,0.00039427946],"domain_scores_gemma":[0.9970142,0.0005408942,0.0008721787,0.0013672839,0.00006854585,0.00013685063],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00444956,0.00041868104,0.0014575127,0.00006053282,0.00010555494,0.00024452416,0.0010550696,0.0004473997,0.0012725884],"category_scores_gemma":[0.0008992486,0.00033300172,0.00042729735,0.0000972311,0.0001224803,0.00016294107,0.001441778,0.00064771646,0.000028088316],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064405636,0.0024282525,0.22549736,0.004923643,0.0029321203,0.000013960363,0.04569318,0.03955243,0.00018300572,0.6324209,0.0066873613,0.03902371],"study_design_scores_gemma":[0.0028410696,0.0006103365,0.39117253,0.000807047,0.00024798315,0.0000985811,0.007856285,0.20677844,0.0029949092,0.33532548,0.044010457,0.0072569023],"about_ca_topic_score_codex":0.0026688955,"about_ca_topic_score_gemma":0.0011567696,"teacher_disagreement_score":0.5487672,"about_ca_system_score_codex":0.00026657165,"about_ca_system_score_gemma":0.00014721467,"threshold_uncertainty_score":0.9999122},"labels":[],"label_agreement":null},{"id":"W4236152272","doi":"10.32920/ryerson.14648874","title":"Creating incubator neighbourhood performing arts venues using growth financing tools","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; Langara College; Simon Fraser University","funders":"","keywords":"Incubator; Downtown; The arts; Business; Renting; Neighbourhood (mathematics); Amenity; Marketing; Plan (archaeology); Space (punctuation); Business plan; Finance; Visual arts; Geography; Engineering; Computer science; Civil engineering","score_opus":0.06706338217442398,"score_gpt":0.23944020280336886,"score_spread":0.17237682062894488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236152272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81464565,0.0010714215,0.0061300895,0.00009321228,0.0018129242,0.00021381145,0.00007565329,0.00009885204,0.17585841],"genre_scores_gemma":[0.98194295,0.00068599964,0.015815869,0.00019820289,0.0008669624,0.000024332026,0.000103294275,0.00011316287,0.00024920257],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99703676,0.000021855501,0.0012455861,0.0010133984,0.00004758696,0.00063479226],"domain_scores_gemma":[0.9980278,0.00013013068,0.0009467769,0.0006794974,0.00007742455,0.00013837552],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009216336,0.0004566347,0.0011166452,0.00033459315,0.00036638425,0.0010994027,0.00041123628,0.00049309066,0.00089766044],"category_scores_gemma":[0.0006360149,0.0006242263,0.00038240515,0.00016745516,0.000046426238,0.00061580725,0.00095797563,0.00075665367,0.00011917311],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009677994,0.00064028695,0.70823705,0.004090512,0.0011937772,0.00029646014,0.01675992,0.022798384,0.00047349097,0.16406913,0.0008322451,0.08051195],"study_design_scores_gemma":[0.0032218439,0.00020852764,0.086578034,0.0048691006,0.00031547263,0.00019828948,0.004447362,0.74959034,0.004391134,0.12153484,0.014750049,0.0098950425],"about_ca_topic_score_codex":0.0014130614,"about_ca_topic_score_gemma":0.00008744753,"teacher_disagreement_score":0.7267919,"about_ca_system_score_codex":0.0005746347,"about_ca_system_score_gemma":0.00022024133,"threshold_uncertainty_score":0.99993753},"labels":[],"label_agreement":null},{"id":"W4236355525","doi":"10.32920/14666316.v1","title":"Is foreclosure harming or improving the health of the USA?","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Foreclosure; Mental health; Medicine; Recession; Anxiety; Forbearance; Harm; Psychiatry; Demography; Psychology; Economics; Finance; Social psychology","score_opus":0.07568393404439452,"score_gpt":0.2562962726259818,"score_spread":0.1806123385815873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236355525","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87567204,0.002019222,0.0037169808,0.011954634,0.005601179,0.0009907436,0.0003041702,0.000044769065,0.09969626],"genre_scores_gemma":[0.988853,0.0012990712,0.0014918068,0.0026264905,0.00023479149,0.000026078227,0.000010985039,0.000048473987,0.005409317],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99798185,0.000035927933,0.0010443236,0.00054964016,0.00003707928,0.00035118964],"domain_scores_gemma":[0.99738854,0.00010474936,0.0012406716,0.0011698375,0.000038639555,0.000057537567],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013721978,0.00023695471,0.00070155854,0.00008279943,0.0002444026,0.00021915633,0.0008125258,0.00022265,0.0017002982],"category_scores_gemma":[0.00016011938,0.00015531118,0.000422395,0.00015805317,0.00008710561,0.00008884688,0.0011684869,0.00056989637,0.000042343658],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013244268,0.00031734694,0.7988474,0.0034512742,0.00092226703,0.000005174169,0.014593324,0.0016830926,0.000019030462,0.05450534,0.02764025,0.09788309],"study_design_scores_gemma":[0.0037223045,0.0005099312,0.29287425,0.0018888344,0.00018969795,0.0000858932,0.007836601,0.18102068,0.0028625494,0.08516429,0.41833487,0.005510106],"about_ca_topic_score_codex":0.0056115077,"about_ca_topic_score_gemma":0.0039086905,"teacher_disagreement_score":0.50597316,"about_ca_system_score_codex":0.00021046116,"about_ca_system_score_gemma":0.0003815567,"threshold_uncertainty_score":0.99921227},"labels":[],"label_agreement":null},{"id":"W4236787908","doi":"10.2139/ssrn.1910708","title":"Portfolio Choice with Non-Separable Goods: The Case of Housing","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Portfolio; Business; Actuarial science; Economics; Financial economics; Finance","score_opus":0.02123658537818404,"score_gpt":0.2080426531806139,"score_spread":0.18680606780242986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236787908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8732743,0.0011920368,0.0054273424,0.00007822047,0.00019689644,0.00010977982,0.0000047402436,0.000013573144,0.11970309],"genre_scores_gemma":[0.9965632,0.0023535453,0.00028752143,0.000058791906,0.0001611179,0.000003524786,7.468209e-7,0.00003703927,0.0005345248],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979422,0.000016622835,0.00053151447,0.0002083061,0.000022324914,0.0012790011],"domain_scores_gemma":[0.9989546,0.000039685074,0.00061317324,0.0002951272,0.000031193904,0.00006622201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001964598,0.00015187018,0.0003217477,0.00015557751,0.00025716473,0.00005291412,0.00028494908,0.00007000209,0.00017968254],"category_scores_gemma":[0.000032778473,0.00012213511,0.00011628943,0.00020398283,0.000087080254,0.00029305063,0.000033313714,0.00081385,0.00005117706],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030354338,0.00032617452,0.21673135,0.000034742283,0.00088413164,0.00022411816,0.0021283242,0.00033102478,0.000020349647,0.7531937,0.00038843066,0.025434127],"study_design_scores_gemma":[0.0042429953,0.0017024453,0.011252969,0.000091522335,0.00018130286,0.017708901,0.0070897564,0.0036352088,0.00041914676,0.93594646,0.016342048,0.0013872264],"about_ca_topic_score_codex":0.002380499,"about_ca_topic_score_gemma":0.0039900946,"teacher_disagreement_score":0.20547839,"about_ca_system_score_codex":0.0003380097,"about_ca_system_score_gemma":0.00039605793,"threshold_uncertainty_score":0.49805257},"labels":[],"label_agreement":null},{"id":"W4237337900","doi":"10.35741/issn.0258-2724.55.4.65","title":"Factors Affecting Real Estate Prices – Evidence From Macroeconomic Data In Vietnam","year":2020,"lang":"en","type":"article","venue":"Journal of Southwest Jiaotong University","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Economics; Cost approach; Capitalization rate; Real estate investment trust; Inflation (cosmology); Price index; Quarter (Canadian coin); Index (typography); Commodity; Money supply; Monetary economics; Interest rate; Financial economics; Macroeconomics; Finance","score_opus":0.0992580826167453,"score_gpt":0.2364693379116448,"score_spread":0.13721125529489947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237337900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919457,0.00007493387,0.00034839936,0.00042995578,0.000336927,0.000087927256,0.00022850516,0.000017442435,0.0065302467],"genre_scores_gemma":[0.9967271,0.002199248,0.00082674954,0.00003904324,0.00015643747,3.2584808e-8,0.000016254535,0.000017651202,0.00001748029],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986775,0.00003582424,0.0006253209,0.0003819062,0.000035680892,0.00024374764],"domain_scores_gemma":[0.9980903,0.00026373434,0.0011043,0.0003204481,0.000027741262,0.00019346511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073792523,0.00016641911,0.00056864484,0.00023040175,0.00009972704,0.00009275279,0.00093705545,0.000096762866,0.00015834434],"category_scores_gemma":[0.00022547982,0.0001977303,0.0001269845,0.0002124597,0.000057771726,0.0016063754,0.00024911616,0.0003517582,0.00008213722],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013725406,0.00003175692,0.9911404,0.000022246342,0.00006502501,0.00006666135,0.00665012,0.0005550232,0.0000387591,0.00006855765,0.00008659327,0.0011375622],"study_design_scores_gemma":[0.0012873586,0.00013893728,0.9767894,0.000108590444,0.000042014584,0.000004074258,0.009612583,0.005329538,0.00005040982,0.00022969031,0.0059765987,0.00043081923],"about_ca_topic_score_codex":0.0028390805,"about_ca_topic_score_gemma":0.00093552144,"teacher_disagreement_score":0.014351055,"about_ca_system_score_codex":0.0002988919,"about_ca_system_score_gemma":0.00008780866,"threshold_uncertainty_score":0.8063208},"labels":[],"label_agreement":null},{"id":"W4237354519","doi":"10.5663/aps.v8i2.29373","title":"Canative Housing Corporation Certificate of Incorporation","year":2020,"lang":"en","type":"article","venue":"aboriginal policy studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Corporation; Certificate; Business; Finance; Computer science","score_opus":0.20348380135561694,"score_gpt":0.3285333887896048,"score_spread":0.12504958743398786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237354519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9126208,0.0010253503,0.0025565613,0.016906485,0.0004916261,0.00027907107,0.00017966378,0.000091165355,0.06584928],"genre_scores_gemma":[0.9972878,0.0009885399,0.0007060555,0.00053366506,0.00038598367,0.00000810358,0.000011343737,0.000016863254,0.00006162311],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990246,0.000012236241,0.00052314217,0.00024605522,0.000026538095,0.0001674215],"domain_scores_gemma":[0.99913716,0.00003502219,0.000564913,0.00011838673,0.00008263114,0.000061899074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020692346,0.0001242216,0.00038876233,0.00015404724,0.00010207593,0.000028787557,0.00010268079,0.000041710682,0.000011774356],"category_scores_gemma":[0.00019462866,0.00014384446,0.000057385674,0.00038732417,0.00012058323,0.00027121426,0.000026929516,0.00007423562,0.000098823904],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010679722,0.000047884707,0.07488535,0.00014184804,0.00025203094,0.0000038082685,0.008749228,0.00089238584,0.00032044912,0.9049141,0.0054099318,0.0042761755],"study_design_scores_gemma":[0.00261991,0.00085394306,0.04092811,0.00010178176,0.0000939847,0.0000043589916,0.004499219,0.02719413,0.00809365,0.4938827,0.4198678,0.0018604251],"about_ca_topic_score_codex":0.0020271826,"about_ca_topic_score_gemma":0.0002774844,"teacher_disagreement_score":0.4144579,"about_ca_system_score_codex":0.00015190002,"about_ca_system_score_gemma":0.00007871281,"threshold_uncertainty_score":0.5865807},"labels":[],"label_agreement":null},{"id":"W4237476636","doi":"10.17771/pucrio.acad.27604","title":"AVALIAÇÃO ECONÔMICO-FINANCEIRA E ANÁLISE DE RISCO DE LANÇAMENTOS IMOBILIÁRIOS NO CONTEXTO BRASILEIRO","year":2016,"lang":"pt","type":"dissertation","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Real estate; Work (physics); Interest rate; Pessimism; Inflation (cosmology); Welfare economics; Business; Economics; Finance; Engineering","score_opus":0.040961481219901355,"score_gpt":0.2814218163310386,"score_spread":0.24046033511113724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237476636","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6463977,0.001417867,0.002174639,0.0003002185,0.0046511344,0.0011037849,0.0011227226,0.00017919776,0.34265277],"genre_scores_gemma":[0.8202995,0.010185602,0.0007836855,0.0012273014,0.0010275827,0.000274202,0.0006549763,0.0003777617,0.16516937],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9928975,0.00012714569,0.0026989772,0.0020092614,0.000103123784,0.0021639848],"domain_scores_gemma":[0.9951016,0.00041167976,0.0021245827,0.0014786789,0.00019388259,0.00068961026],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002214114,0.001287304,0.0022794735,0.0008290072,0.000548631,0.00070224766,0.0012788662,0.0016393744,0.01638634],"category_scores_gemma":[0.00058606995,0.0014835843,0.0009857118,0.00028121538,0.00018324901,0.0008218193,0.00016500666,0.0008680976,0.018232936],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023045999,0.0018012867,0.81611973,0.0022282382,0.0016982997,0.00014870298,0.011598629,0.00020211074,0.002056252,0.03160381,0.067718126,0.062520236],"study_design_scores_gemma":[0.022407869,0.002132735,0.25552374,0.0039112866,0.0007966028,0.00016794312,0.006597263,0.04123377,0.0070893043,0.029141812,0.61371446,0.01728319],"about_ca_topic_score_codex":0.0022292137,"about_ca_topic_score_gemma":0.002042083,"teacher_disagreement_score":0.5605959,"about_ca_system_score_codex":0.0019385478,"about_ca_system_score_gemma":0.00072884344,"threshold_uncertainty_score":0.9999879},"labels":[],"label_agreement":null},{"id":"W4238330273","doi":"10.21236/ada432940","title":"Financial Management: Promptness of FY 2005 First Quarter DoD Payments to the Department of the Treasury for District of Columbia Water and Sewer Services","year":2004,"lang":"en","type":"report","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Treasury; Quarter (Canadian coin); Payment; Finance; Business; Geography","score_opus":0.016455837495229657,"score_gpt":0.20408169399837225,"score_spread":0.1876258565031426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238330273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8809496,0.0006327596,0.0005799821,0.0010510278,0.002401086,0.0051325215,0.004485449,0.000019892928,0.104747675],"genre_scores_gemma":[0.990559,0.0012868737,0.00029334857,0.000097981625,0.00014274594,0.00026813886,0.00019105579,0.00004803645,0.0071128504],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979621,0.000011167737,0.0011799424,0.00042218444,0.00009287226,0.00033174193],"domain_scores_gemma":[0.9984307,0.00003490717,0.0007934914,0.0005862296,0.00011065728,0.0000440117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009159014,0.00023519533,0.00079952,0.00011492049,0.00012482329,0.000058201662,0.00043098928,0.00017970947,0.0001694057],"category_scores_gemma":[0.00001910989,0.0001690367,0.00027122928,0.00010253492,0.00007266852,0.00007498708,0.00021925858,0.000082950944,0.0000075046732],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011902084,0.0037662005,0.6794148,0.040874843,0.004754786,0.0000101026135,0.0072064726,0.0020083624,0.0000128705,0.008107721,0.20118088,0.05147273],"study_design_scores_gemma":[0.0017969824,0.00023074025,0.16508177,0.0004893985,0.000251403,0.0000050395147,0.00016668176,0.00018552599,0.00025524566,0.003667549,0.8272506,0.0006190757],"about_ca_topic_score_codex":0.0028306933,"about_ca_topic_score_gemma":0.012398174,"teacher_disagreement_score":0.6260697,"about_ca_system_score_codex":0.00019559368,"about_ca_system_score_gemma":0.00007665251,"threshold_uncertainty_score":0.6918472},"labels":[],"label_agreement":null},{"id":"W4238401702","doi":"10.32920/ryerson.14668266.v1","title":"Addressing landlord absenteeism along Hamilton’s Barton Street commercial corridor","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Toronto Metropolitan University","funders":"","keywords":"Landlord; Absenteeism; Investment (military); Business; Economics; Political science; Management; Law","score_opus":0.10893105452073802,"score_gpt":0.26667249577707136,"score_spread":0.15774144125633333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238401702","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70814025,0.00091780745,0.0031910895,0.000437092,0.0055638496,0.00031512877,0.00032129238,0.00017734841,0.28093612],"genre_scores_gemma":[0.9911236,0.0015413988,0.0023540908,0.00106723,0.0010048957,0.000042794698,0.00079003605,0.0001224561,0.0019534784],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966992,0.000041905514,0.0013772169,0.0011689473,0.00005710156,0.00065559393],"domain_scores_gemma":[0.99779373,0.000099124634,0.0007597406,0.0010689019,0.00006323205,0.00021525289],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000736518,0.0005377148,0.0013253787,0.0003394303,0.00022899873,0.0008093528,0.0006181067,0.0006866544,0.0026337039],"category_scores_gemma":[0.00009667537,0.0006943423,0.0004934136,0.00012435435,0.00009542627,0.00026053778,0.00082522555,0.0009832191,0.0005248394],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012131695,0.0006282621,0.89184755,0.00086498394,0.0007804622,0.00020597596,0.004051398,0.0036059108,0.000008538301,0.0169646,0.048781205,0.032139793],"study_design_scores_gemma":[0.0062400154,0.00021226757,0.4161776,0.0017570165,0.0002546966,0.00005943341,0.0030613705,0.09782183,0.00051928405,0.029098354,0.43571076,0.0090873595],"about_ca_topic_score_codex":0.0041736523,"about_ca_topic_score_gemma":0.0051139756,"teacher_disagreement_score":0.47566995,"about_ca_system_score_codex":0.00034819212,"about_ca_system_score_gemma":0.00013289945,"threshold_uncertainty_score":0.99955076},"labels":[],"label_agreement":null},{"id":"W4240340769","doi":"10.1002/div.5819","title":"Energy Savings Income Fund","year":2007,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subsidiary; Business; Energy (signal processing); General partnership; Finance; Agricultural economics; Commerce; Economics","score_opus":0.03420852473819132,"score_gpt":0.22547103201426838,"score_spread":0.19126250727607708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240340769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7218453,0.0006419508,0.011438185,0.0004620876,0.0024328819,0.00008452088,0.000034886227,0.00011367803,0.2629465],"genre_scores_gemma":[0.99476796,0.00047795562,0.0005233626,0.00052203273,0.0002958709,0.0000051321613,0.000019752913,0.000045710673,0.0033422445],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981363,0.000010864965,0.00074419857,0.00046804282,0.000048081507,0.0005925506],"domain_scores_gemma":[0.99900955,0.00007135619,0.00030235457,0.0003837008,0.000014948993,0.00021808538],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011958315,0.00021828226,0.00038474853,0.00033329357,0.00018488665,0.00008176984,0.00034885152,0.00013194823,0.0017019747],"category_scores_gemma":[0.000055032666,0.0002734997,0.00019637553,0.00025235966,0.0000662904,0.00033753872,0.0001383498,0.00014756928,0.0011040599],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010477722,0.00016668018,0.78353155,0.000038740553,0.00018499399,0.000029931649,0.0005123693,0.000116064795,0.00013993794,0.18362011,0.0076267375,0.02392812],"study_design_scores_gemma":[0.00074625714,0.0000683361,0.14552264,0.000019587107,0.000015573643,0.0000065414,0.00011821158,0.0005579353,0.00044567455,0.022448657,0.8292849,0.0007656946],"about_ca_topic_score_codex":0.0010272758,"about_ca_topic_score_gemma":0.00042291707,"teacher_disagreement_score":0.82165813,"about_ca_system_score_codex":0.00020395902,"about_ca_system_score_gemma":0.000013656269,"threshold_uncertainty_score":0.99997175},"labels":[],"label_agreement":null},{"id":"W4240465546","doi":"10.21837/pmjournal.v17.i9.580","title":"Volume 17 : 2019 Issue 1","year":2019,"lang":"en","type":"article","venue":"PLANNING MALAYSIA","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Global Challenges Research Fund; International Development Research Centre","keywords":"Volume (thermodynamics); Medicine; Physics","score_opus":0.01638610391444038,"score_gpt":0.20771565420832488,"score_spread":0.19132955029388451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240465546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54508525,0.0003215057,0.0002572875,0.00039360256,0.0009142005,0.000106152285,0.00002931749,0.000076866825,0.4528158],"genre_scores_gemma":[0.93751884,0.000047629703,0.0007563662,0.0004044941,0.0003117604,0.0000068210475,0.00004516733,0.000044428394,0.060864527],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99875164,0.0000072577463,0.00041634514,0.00041231047,0.000022790327,0.000389683],"domain_scores_gemma":[0.9992351,0.000037259662,0.00021786029,0.00041186746,0.0000117625395,0.000086151704],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00039535583,0.00016384319,0.00038215544,0.00017619335,0.000063431144,0.00011667147,0.00026528773,0.00011940859,0.0065613235],"category_scores_gemma":[0.000031866788,0.00021024566,0.00010008034,0.00012306133,0.000023200537,0.00025304835,0.00007278966,0.00017055112,0.039538335],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023656854,0.00003124644,0.86027884,0.000027799886,0.000039055587,0.0000067849714,0.00043546525,0.0055282386,0.000031496744,0.0071829334,0.12563139,0.00078311405],"study_design_scores_gemma":[0.00040743532,0.000046122612,0.084183045,0.000025724883,0.000004486719,0.000007871997,0.000052990694,0.037857316,0.000013991179,0.003248102,0.8737411,0.00041184528],"about_ca_topic_score_codex":0.000089408124,"about_ca_topic_score_gemma":8.273723e-7,"teacher_disagreement_score":0.77609575,"about_ca_system_score_codex":0.00006974273,"about_ca_system_score_gemma":0.000012793205,"threshold_uncertainty_score":0.9943468},"labels":[],"label_agreement":null},{"id":"W4240540100","doi":"10.53383/100220","title":"International Real Estate Review","year":2016,"lang":"en","type":"article","venue":"International Real Estate Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"City University of Hong Kong","keywords":"Real estate investment trust; Leverage (statistics); Maturity (psychological); Business; Debt; Real estate; Financial system; Monetary economics; Finance; Financial crisis; Economics; Macroeconomics","score_opus":0.03841296491873396,"score_gpt":0.28153815270445093,"score_spread":0.24312518778571696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240540100","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010790366,0.0008927602,0.00027477831,0.012271505,0.0018284019,0.00034688826,0.00034690628,0.00008212306,0.9828776],"genre_scores_gemma":[0.002241308,0.99520487,0.0005180162,0.00072552456,0.00033232916,0.000072110975,0.00013188449,0.000048629794,0.0007253168],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.997528,0.000038784812,0.0013640509,0.00059271866,0.00012344054,0.00035297536],"domain_scores_gemma":[0.99831873,0.00015452628,0.0007755697,0.0004384042,0.00015090039,0.0001618389],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012854633,0.00027389554,0.0006920675,0.00016989482,0.000056572404,0.00007738281,0.00079196267,0.00007036429,0.0041886303],"category_scores_gemma":[0.0005104962,0.00023791961,0.00032236823,0.00014760307,0.00008001582,0.0005813795,0.00017378498,0.00013753658,0.0039313463],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001338245,0.00004468733,0.0020307514,0.000716922,0.00009900452,0.000017961383,0.000023966706,0.0000011153652,0.0000058651626,0.0012815188,0.008748993,0.98701584],"study_design_scores_gemma":[0.000347673,0.000023497005,0.0011700992,0.0041241357,0.000019897272,0.000032973494,0.0000026328426,0.000111793386,0.000004359287,0.00024668724,0.9936005,0.00031573407],"about_ca_topic_score_codex":0.00062350347,"about_ca_topic_score_gemma":0.000070006645,"teacher_disagreement_score":0.9943121,"about_ca_system_score_codex":0.00045904296,"about_ca_system_score_gemma":0.00005914088,"threshold_uncertainty_score":0.99684423},"labels":[],"label_agreement":null},{"id":"W4240750140","doi":"10.22495/jgr_v4_i4_p7","title":"Box-Jenkins transfer function framework applied to saving-investment nexus in the South African context","year":2015,"lang":"en","type":"article","venue":"Journal of Governance and Regulation","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nexus (standard); Investment (military); Econometrics; Quarter (Canadian coin); Context (archaeology); Economics; Unit root; Investment function; Capital (architecture); Capital investment; Macroeconomics; Geography; Finance; Computer science; Political science","score_opus":0.02954797978084986,"score_gpt":0.2022741415090782,"score_spread":0.17272616172822833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240750140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9066315,0.000778481,0.05469871,0.0026732613,0.00082003884,0.00025077074,0.000013782376,0.0000071305917,0.03412631],"genre_scores_gemma":[0.99827904,0.00008192871,0.00029426013,0.0009732995,0.00027814435,0.0000036837134,0.0000012309763,0.000010332807,0.00007807317],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991537,0.000015421065,0.00050078536,0.00013218368,0.00006258327,0.00013534032],"domain_scores_gemma":[0.99941826,0.00003833075,0.000317489,0.00012417018,0.000027144308,0.000074609496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008974458,0.00009127622,0.00024676492,0.00008629507,0.000049021895,0.00007820852,0.00010896392,0.000077590004,0.00002129491],"category_scores_gemma":[0.0000633668,0.0000760414,0.00005435103,0.0001582497,0.000026853226,0.00020229866,0.000010768859,0.00015211123,0.000019489838],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010240787,0.0001790749,0.043115802,0.00002826135,0.00007316063,0.0000064212213,0.032698024,0.014347651,0.00003065528,0.8758399,0.0033844502,0.029272512],"study_design_scores_gemma":[0.002379003,0.0006009116,0.6122803,0.00012352975,0.00003165956,0.000026069572,0.004486461,0.0019293227,0.000025329706,0.21861222,0.15911476,0.00039038382],"about_ca_topic_score_codex":0.00004730349,"about_ca_topic_score_gemma":0.000074305004,"teacher_disagreement_score":0.6572277,"about_ca_system_score_codex":0.0001388239,"about_ca_system_score_gemma":0.00003153996,"threshold_uncertainty_score":0.31008783},"labels":[],"label_agreement":null},{"id":"W4241147764","doi":"10.17722/ijme.v10i2.957","title":"Nudgitize me! A behavioral Finance Approach to minimize losses and maximize profits from Heuristics and Biases","year":2018,"lang":"en","type":"article","venue":"International Journal of Management Excellence","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Heuristics; Nudge theory; Behavioral economics; Profit maximization; Economics; Axiom; Profit (economics); Microeconomics; Maximization; Mental accounting; Computer science; Psychology; Social psychology","score_opus":0.049964678862964296,"score_gpt":0.2570158067267198,"score_spread":0.2070511278637555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241147764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94138926,0.00066133717,0.022100579,0.0009638348,0.0012606762,0.00016653049,0.00009462379,0.000012373041,0.033350773],"genre_scores_gemma":[0.955312,0.003169752,0.040141463,0.00031721615,0.00037307263,0.000006335077,0.0000047369444,0.000016442349,0.0006589669],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988484,0.000011907219,0.0005952368,0.00029280855,0.00008594207,0.00016574554],"domain_scores_gemma":[0.9991465,0.000075548975,0.00043980958,0.0001409113,0.00011235046,0.000084864565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035304227,0.00013985223,0.00028189752,0.0002613433,0.000063869695,0.00020826227,0.00039376604,0.00004399102,0.00007738096],"category_scores_gemma":[0.00009084518,0.00015459539,0.00005157044,0.00007413651,0.000121581295,0.0002637993,0.00023070333,0.0000902687,0.000045780398],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00391107,0.0036521207,0.4749254,0.00031599542,0.002279238,0.00074874883,0.010864798,0.0012897397,0.00021485098,0.15146057,0.054407142,0.29593033],"study_design_scores_gemma":[0.014221105,0.0018407803,0.48167256,0.0017032779,0.00037479628,0.00048758872,0.0041769207,0.044926625,0.0010384107,0.15585296,0.29031563,0.0033893588],"about_ca_topic_score_codex":0.000066257446,"about_ca_topic_score_gemma":0.000004613954,"teacher_disagreement_score":0.29254097,"about_ca_system_score_codex":0.000060145438,"about_ca_system_score_gemma":0.000010140238,"threshold_uncertainty_score":0.6304217},"labels":[],"label_agreement":null},{"id":"W4241282143","doi":"10.2139/ssrn.3900697","title":"On Non-Negative Equity Guarantee Calculations with Macroeconomic Variables Related to House Prices","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Economics; House price; Equity (law); Single-family detached home; Econometrics; Monetary economics; Financial economics; Geography; Political science","score_opus":0.012257152085328724,"score_gpt":0.2315614823559052,"score_spread":0.2193043302705765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241282143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90366197,0.00041974266,0.0122159785,0.0013163687,0.00040095684,0.0002041844,0.00003126587,0.0000606272,0.08168893],"genre_scores_gemma":[0.9937425,0.002078354,0.0011468078,0.00028445412,0.00010654988,0.000011367019,0.0000069097564,0.000073971394,0.0025490592],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971857,0.000025693862,0.00066010567,0.00047315998,0.000042998527,0.0016123079],"domain_scores_gemma":[0.998997,0.000118866694,0.0004096065,0.0002907093,0.00006550559,0.00011833728],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014565199,0.00023009256,0.00045404176,0.00026688536,0.0003577738,0.00022890899,0.00027446658,0.000119357894,0.00031995075],"category_scores_gemma":[0.00014742193,0.00024636457,0.00013724338,0.00033804346,0.000044345892,0.00031260817,0.00008699759,0.0010376408,0.00084652123],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016985043,0.00015797632,0.0065689893,0.00000809718,0.0005070552,0.000017313314,0.0005513535,0.008424991,0.00003415492,0.97859627,0.00016814288,0.004795811],"study_design_scores_gemma":[0.0018197668,0.000502647,0.002949865,0.00005050567,0.00003362334,0.00031061305,0.0007338235,0.0031355992,0.00014023931,0.9848177,0.0049009426,0.0006047104],"about_ca_topic_score_codex":0.00012924513,"about_ca_topic_score_gemma":0.0016555644,"teacher_disagreement_score":0.09008058,"about_ca_system_score_codex":0.0016505369,"about_ca_system_score_gemma":0.0009930832,"threshold_uncertainty_score":0.99999887},"labels":[],"label_agreement":null},{"id":"W4241607642","doi":"10.32920/ryerson.14654199.v1","title":"Evaluating The Conversion Of Employment Areas","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Thriving; Guideline; Threatened species; Space (punctuation); Business; Political science; Environmental planning; Economic growth; Public relations; Economics; Sociology; Geography; Law; Computer science; Social science","score_opus":0.11969929843464674,"score_gpt":0.29606094734420424,"score_spread":0.1763616489095575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241607642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8346624,0.00087085285,0.0013115285,0.000587613,0.0015088929,0.0002577326,0.00003625888,0.000027012302,0.16073772],"genre_scores_gemma":[0.99520636,0.0008175436,0.0019295941,0.00021155598,0.00011693796,0.000021067319,0.00005655737,0.000028603394,0.0016117687],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984881,0.000031281026,0.00079326995,0.0004549451,0.000037254045,0.00019509542],"domain_scores_gemma":[0.99838257,0.000104611005,0.000688904,0.000728637,0.00005312017,0.000042146443],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013910797,0.00017668013,0.0005360793,0.00009772603,0.00007673689,0.000115493436,0.0003751495,0.00018851842,0.0022549487],"category_scores_gemma":[0.00013545241,0.00016558071,0.00026457623,0.00007007157,0.000060160757,0.000057893907,0.0007416651,0.000289101,0.00012275366],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035706421,0.0013224275,0.621641,0.0035089843,0.0027983559,0.000024051322,0.013890961,0.060310353,0.00028668548,0.21253285,0.016249346,0.067077965],"study_design_scores_gemma":[0.004457185,0.0008111147,0.09681655,0.0011807892,0.0003417879,0.000024384552,0.004870501,0.6479034,0.005802596,0.16588344,0.06738788,0.0045203795],"about_ca_topic_score_codex":0.00085470546,"about_ca_topic_score_gemma":0.000033079712,"teacher_disagreement_score":0.5875931,"about_ca_system_score_codex":0.00013859932,"about_ca_system_score_gemma":0.00008729471,"threshold_uncertainty_score":0.9986571},"labels":[],"label_agreement":null},{"id":"W4241700289","doi":"10.32920/ryerson.14648583.v1","title":"Is There a Link Between Growth Management Regulations and Housing Affordability in the Town of Markham?","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Growth management; Plan (archaeology); Business; Public economics; Economics; Geography; Land use; Engineering; Civil engineering","score_opus":0.04585423903553326,"score_gpt":0.2342057775980705,"score_spread":0.18835153856253725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241700289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8029112,0.0004851551,0.0015074891,0.0031192338,0.00015327238,0.00041276406,0.00008648974,0.00001666296,0.1913077],"genre_scores_gemma":[0.9938202,0.0017269872,0.0038374504,0.00013760869,0.00011819481,0.000026207477,0.000046006535,0.000022761678,0.00026457952],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998267,0.000041520543,0.0008687281,0.0005678725,0.000034156234,0.00022073287],"domain_scores_gemma":[0.9986814,0.00013082783,0.00039130103,0.000734385,0.000026652511,0.000035405657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001470962,0.00020746091,0.00060664647,0.00021880622,0.000073165436,0.000194926,0.0003411634,0.00023111976,0.00040155507],"category_scores_gemma":[0.000038824717,0.0002013669,0.0001658564,0.00017949007,0.00008679624,0.00010805461,0.0005861988,0.00031465918,0.0000057343623],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010277295,0.00006308901,0.95208555,0.0006239766,0.00017380173,0.0000034512298,0.0029373397,0.00012235066,1.9489035e-7,0.02643858,0.00022790238,0.017313454],"study_design_scores_gemma":[0.0003436227,0.00001566623,0.8295287,0.0001255897,0.000034851553,7.7543064e-7,0.00078940904,0.0020688535,0.00001200907,0.16337296,0.0033479875,0.0003595565],"about_ca_topic_score_codex":0.001171638,"about_ca_topic_score_gemma":0.00035244384,"teacher_disagreement_score":0.19104312,"about_ca_system_score_codex":0.00011119217,"about_ca_system_score_gemma":0.000025533476,"threshold_uncertainty_score":0.82115036},"labels":[],"label_agreement":null},{"id":"W4242344894","doi":"10.32920/ryerson.14649786.v1","title":"Where can Millennials afford to live within the city of Toronto","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Affordable housing; Renting; Government (linguistics); Rental housing; Business; Public economics; Economic growth; Economics; Political science","score_opus":0.03699021983654227,"score_gpt":0.228295643225617,"score_spread":0.19130542338907472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242344894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7217256,0.0041679274,0.00052886124,0.0017219848,0.002277191,0.00051479647,0.00029015608,0.000040325114,0.2687332],"genre_scores_gemma":[0.9871872,0.004370698,0.0037421698,0.0005753243,0.00027842866,0.00005727753,0.000034889996,0.000052139643,0.0037018836],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99784774,0.000030464751,0.0011058555,0.0006794192,0.00003627596,0.00030027743],"domain_scores_gemma":[0.997893,0.00008720427,0.0007216824,0.001095808,0.000073439696,0.00012887717],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010860293,0.00029793094,0.0009508207,0.000055324555,0.00009033502,0.00019337733,0.0006834829,0.00032972617,0.0048625125],"category_scores_gemma":[0.00016063124,0.00028371034,0.00031512088,0.000056426627,0.000059479036,0.000091087066,0.00094135257,0.00028557156,0.000099092846],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063510315,0.0013596162,0.37533677,0.0037208549,0.004172382,0.000045182434,0.1588173,0.01592268,0.00014282523,0.3376011,0.07519932,0.027046872],"study_design_scores_gemma":[0.005014619,0.0014728281,0.1452459,0.0032795845,0.00052231137,0.00004745333,0.07980136,0.024557,0.0046011307,0.18379955,0.53727216,0.014386146],"about_ca_topic_score_codex":0.07086028,"about_ca_topic_score_gemma":0.1866514,"teacher_disagreement_score":0.4620728,"about_ca_system_score_codex":0.00041286493,"about_ca_system_score_gemma":0.00015103859,"threshold_uncertainty_score":0.9999615},"labels":[],"label_agreement":null},{"id":"W4242454875","doi":"10.2139/ssrn.2944022","title":"Comparing Behavioral Heterogeneity Across Asset Classes","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; Government of Canada","funders":"","keywords":"Asset (computer security); Econometrics; Economics; Computer science; Computer security","score_opus":0.06981018042408046,"score_gpt":0.3050903388567911,"score_spread":0.23528015843271063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242454875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9806231,0.0006598199,0.0017436993,0.00030146664,0.0008358902,0.00006294568,0.00002225581,0.000028782964,0.015721995],"genre_scores_gemma":[0.99629873,0.0025811323,0.00010081813,0.0000383613,0.00038730126,0.0000034450259,0.0000063461803,0.00003560275,0.00054828025],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99688137,0.000015443238,0.0005385429,0.00031301824,0.000035086858,0.0022165538],"domain_scores_gemma":[0.9985608,0.000014371782,0.0007513804,0.0005297642,0.000027525799,0.00011615149],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0023254864,0.00018272539,0.0004285124,0.000073708834,0.0013044719,0.00087250565,0.00076562085,0.000117907,0.000046411114],"category_scores_gemma":[0.00006652491,0.00021677878,0.0002116288,0.00003173039,0.00010100091,0.00070524274,0.00016122183,0.0011690668,0.0003242884],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031659016,0.000093087605,0.9044202,0.00000435256,0.000094317955,0.0000046953583,0.00011487075,0.000036096102,0.000011582938,0.08774136,0.00011236107,0.007335411],"study_design_scores_gemma":[0.0031707839,0.00046793235,0.38845447,0.00003329183,0.000037670594,0.00060281024,0.0010090666,0.0028631254,0.00016935448,0.55845517,0.04343887,0.0012974486],"about_ca_topic_score_codex":0.00045435896,"about_ca_topic_score_gemma":0.0069474764,"teacher_disagreement_score":0.51596576,"about_ca_system_score_codex":0.0008976977,"about_ca_system_score_gemma":0.00021953258,"threshold_uncertainty_score":0.9999957},"labels":[],"label_agreement":null},{"id":"W4243540472","doi":"10.53383/100145","title":"International Real Estate Review","year":2011,"lang":"en","type":"article","venue":"International Real Estate Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Property value; Quarter (Canadian coin); Mile; Real estate; Residential property; Residential real estate; Property (philosophy); Judaism; Geography; Sociology; Business; Regional science; Archaeology; Finance","score_opus":0.07498680351114795,"score_gpt":0.27976394788631204,"score_spread":0.2047771443751641,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243540472","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011150844,0.0009960011,0.00012571304,0.0017379534,0.0018601803,0.00037333323,0.0002018091,0.00008339987,0.99350655],"genre_scores_gemma":[0.0022353975,0.9947906,0.0013342483,0.00071418844,0.00023076059,0.00007270671,0.00023202634,0.000050020306,0.00034002124],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99754405,0.00003691099,0.001396571,0.0005692347,0.00011046948,0.0003427747],"domain_scores_gemma":[0.99838614,0.000064353495,0.0008038844,0.00043569118,0.0001468605,0.00016307073],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012535116,0.00028085746,0.00070614956,0.00018070373,0.000060781575,0.00006754956,0.0008558012,0.00007374918,0.0057511963],"category_scores_gemma":[0.0002922048,0.00030761087,0.00032764074,0.000172486,0.00007380655,0.0005300208,0.00017671844,0.00021726743,0.0030150288],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017447193,0.00008205031,0.002674315,0.0010371116,0.00012438837,0.00002964765,0.00013056742,0.0000013799673,9.4356824e-7,0.0016648707,0.0051959464,0.9890413],"study_design_scores_gemma":[0.00023539121,0.000029509685,0.0022426757,0.0021043476,0.000027952728,0.000038565024,0.000007965847,0.00030434405,0.0000034384868,0.0002823136,0.9943913,0.00033218318],"about_ca_topic_score_codex":0.0020572643,"about_ca_topic_score_gemma":0.0001020829,"teacher_disagreement_score":0.9937946,"about_ca_system_score_codex":0.00030360452,"about_ca_system_score_gemma":0.00005434625,"threshold_uncertainty_score":0.9999376},"labels":[],"label_agreement":null},{"id":"W4245353078","doi":"10.3386/w23162","title":"Bankruptcy Spillovers","year":2017,"lang":"da","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Bankruptcy; Microdata (statistics); Spillover effect; Exploit; Business; Census; Economics; Finance; Microeconomics","score_opus":0.4454070105506744,"score_gpt":0.48572465089320843,"score_spread":0.040317640342534045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245353078","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0053920383,0.0023954,0.000015208165,0.001171923,0.0055220807,0.00092740497,0.0011969019,0.000026902966,0.9833521],"genre_scores_gemma":[0.8366587,0.037427876,0.00038215457,0.000054576783,0.004702821,0.00012174472,0.0011315879,0.00026970182,0.11925082],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9920591,0.00015575567,0.0034917605,0.0020740025,0.0006410991,0.0015782771],"domain_scores_gemma":[0.99109495,0.0013229672,0.0036744021,0.002018714,0.0014161041,0.00047288102],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.018097626,0.00075932266,0.0024990821,0.0030089861,0.0009829906,0.0008136725,0.0028684267,0.0015595263,0.0073747723],"category_scores_gemma":[0.0044852714,0.0010493303,0.0010563955,0.00023790337,0.0014385555,0.0009717977,0.0009520127,0.0020216547,0.0093461275],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00024100718,0.00036782815,0.023924714,0.0007949626,0.0011885687,0.000026365451,0.00023078306,0.001003903,0.00000755161,0.743383,0.2195397,0.009291596],"study_design_scores_gemma":[0.0011864996,0.00020939515,0.0021688507,0.00025539406,0.000026669168,0.000029575882,0.00007430266,0.0029534402,0.000036019526,0.51932555,0.4727845,0.0009498193],"about_ca_topic_score_codex":0.006610907,"about_ca_topic_score_gemma":0.00053501397,"teacher_disagreement_score":0.86410135,"about_ca_system_score_codex":0.006797205,"about_ca_system_score_gemma":0.0065815356,"threshold_uncertainty_score":0.99973667},"labels":[],"label_agreement":null},{"id":"W4245633150","doi":"10.4095/301381","title":"Housing Ownership, 2001 - Percentage of Population Rent Dwelling by Census Subdivision","year":2010,"lang":"en","type":"report","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subdivision; Census; Geography; Population; Demographic economics; Business; Demography; Economics; Sociology; Archaeology","score_opus":0.06780948105000958,"score_gpt":0.2655634397152494,"score_spread":0.19775395866523984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245633150","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3894235,0.0014451221,0.0010981245,0.00012672397,0.0053984364,0.0004829738,0.0009913243,0.00013689698,0.6008969],"genre_scores_gemma":[0.9738996,0.011853704,0.00165882,0.000051286115,0.00076044543,0.000007571262,0.0023953891,0.00019011549,0.009183087],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967905,0.00001923544,0.0017535754,0.00077456515,0.00012032955,0.0005417669],"domain_scores_gemma":[0.9973815,0.000074612275,0.0017442417,0.00056055124,0.000086665954,0.00015242875],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021004635,0.00040397633,0.0011432517,0.00047172778,0.00014058678,0.00012779527,0.0003109208,0.00085803,0.0017070994],"category_scores_gemma":[0.00021258484,0.00045778963,0.00035481236,0.00012860668,0.00005773203,0.00020861623,0.00011363628,0.000657573,0.00012933688],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017582694,0.0009879582,0.5370886,0.0022676098,0.00052546576,0.00002317014,0.0005033466,0.0006317923,0.0005265308,0.007778594,0.3528065,0.09668463],"study_design_scores_gemma":[0.00064829,0.00008269355,0.0130840875,0.00027029798,0.0000702848,0.000014168412,0.000090175454,0.009405822,0.000164074,0.0031911226,0.9714533,0.0015257024],"about_ca_topic_score_codex":0.010743767,"about_ca_topic_score_gemma":0.00060081424,"teacher_disagreement_score":0.61864674,"about_ca_system_score_codex":0.00060001627,"about_ca_system_score_gemma":0.0000770303,"threshold_uncertainty_score":0.9997874},"labels":[],"label_agreement":null},{"id":"W4245666915","doi":"10.1111/1911-3846.12224","title":"Discussion of “Were Information Intermediaries Sensitive to the Financial Statement‐Based Leading Indicators of Bank Distress Prior to the Financial Crisis?”","year":2016,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Chartered Professional Accountants of Canada","keywords":"Depreciation (economics); Financial distress; Financial crisis; Economics; Realization (probability); Financial intermediary; Financial system; Statement (logic); Intermediary; Business; Finance; Keynesian economics; Political science; Market economy","score_opus":0.03586016453404078,"score_gpt":0.28798302094892264,"score_spread":0.25212285641488186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245666915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.937526,0.000103531085,0.016860057,0.035373524,0.0008685344,0.0013613419,0.0006814867,0.00002877977,0.0071967486],"genre_scores_gemma":[0.9991405,0.000024318331,0.000093498755,0.00034596768,0.00017850347,0.00005260124,0.00002748321,0.000017389588,0.00011975683],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99796295,0.000104106155,0.0010463217,0.00028899004,0.00017516447,0.0004224844],"domain_scores_gemma":[0.9981779,0.00048511242,0.0005648717,0.0004891018,0.00019615103,0.00008684779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00412764,0.00015654054,0.00039272793,0.00062670023,0.000394229,0.0001518258,0.0006374993,0.00010182327,0.000061085644],"category_scores_gemma":[0.0032846364,0.00008748757,0.0001084582,0.0005973941,0.00027249838,0.00082537567,0.00039948517,0.000255567,0.00020855253],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034083033,0.00036717972,0.33205062,0.0007895185,0.00014599212,0.000009329041,0.056578327,0.0005185851,0.00048096612,0.044570144,0.20647009,0.35461095],"study_design_scores_gemma":[0.0031562129,0.00079735013,0.16372143,0.0013617205,0.000014783005,0.0000015274769,0.011105265,0.0028000942,0.008723975,0.0048519615,0.80238336,0.0010822912],"about_ca_topic_score_codex":0.00018670385,"about_ca_topic_score_gemma":0.0001555844,"teacher_disagreement_score":0.5959133,"about_ca_system_score_codex":0.00015729155,"about_ca_system_score_gemma":0.00024152928,"threshold_uncertainty_score":0.39322537},"labels":[],"label_agreement":null},{"id":"W4246181769","doi":"","title":"AVALIAÇÃO IMOBILIÁRIA SOB A PERSPECTIVA DAS EXTERNALIDADES: UMA REVISÃO DA LITERATURA","year":2010,"lang":"pt","type":"article","venue":"Redalyc (Universidad Autónoma del Estado de México)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Externality; Modernity; Style (visual arts); Investment (military); Real estate; Economics; Sociology; Microeconomics; Welfare economics; Positive economics; Philosophy; Political science; Epistemology; Art; Finance","score_opus":0.02097013177134341,"score_gpt":0.24380835021824365,"score_spread":0.22283821844690024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246181769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9162095,0.002059275,0.0028526878,0.0016489639,0.00421074,0.0007865936,0.0005165573,0.000295027,0.071420655],"genre_scores_gemma":[0.96736985,0.0014260088,0.0039992584,0.00042337735,0.0011808707,0.000021527485,0.0001069223,0.00028847402,0.025183687],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9937691,0.00016851921,0.0016318989,0.0022584712,0.0001894168,0.0019825583],"domain_scores_gemma":[0.9946788,0.00029383783,0.001473502,0.0023400586,0.00022795313,0.0009858385],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.0018215843,0.001168349,0.001796509,0.0016040743,0.0009211592,0.002920997,0.0018313291,0.0013637926,0.0051678936],"category_scores_gemma":[0.0003807874,0.0016327741,0.0011206656,0.0013061994,0.0005188,0.0019370802,0.00062952406,0.0023160884,0.002460343],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001690708,0.0026861595,0.26102793,0.001704079,0.0023176023,0.0024686442,0.042039674,0.00060221436,0.007548464,0.5697056,0.02206516,0.08614374],"study_design_scores_gemma":[0.014108442,0.001520983,0.095428586,0.0015706568,0.0009536857,0.0016942079,0.022472156,0.22957662,0.0004722935,0.024987001,0.59651446,0.010700891],"about_ca_topic_score_codex":0.0010146255,"about_ca_topic_score_gemma":0.00023675598,"teacher_disagreement_score":0.5744493,"about_ca_system_score_codex":0.0015324496,"about_ca_system_score_gemma":0.00053191173,"threshold_uncertainty_score":0.99998564},"labels":[],"label_agreement":null},{"id":"W4246870774","doi":"10.5089/9781498321037.002","title":"Canada","year":2019,"lang":"en","type":"article","venue":"IMF Staff Country Reports","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science","score_opus":0.008853759979962081,"score_gpt":0.1759516786333059,"score_spread":0.16709791865334384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246870774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53775036,0.0001917111,0.00003324689,0.00021452682,0.0022658838,0.000117994336,0.000047090176,0.000031421558,0.45934778],"genre_scores_gemma":[0.9929151,0.00007146863,0.00007396001,0.00034499387,0.00012658698,0.0000056110275,0.000028902292,0.000029821027,0.0064035477],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.998587,0.0000038875105,0.00063945196,0.00040058204,0.000042410098,0.00032666547],"domain_scores_gemma":[0.99895924,0.000025014628,0.0004114811,0.0004891901,0.0000227253,0.00009233002],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00037105687,0.00013568549,0.000335397,0.00006128364,0.000058820515,0.00007751845,0.00010679322,0.00007485283,0.0020340295],"category_scores_gemma":[0.00004679947,0.00016952999,0.000041513787,0.000106537744,0.000018228378,0.00017739505,0.000041328058,0.00010800789,0.00038240833],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033406875,0.00012375614,0.78145665,0.00011341866,0.00013303057,0.00067219354,0.00016404655,0.0007451781,0.00005297785,0.059750196,0.15443993,0.002315226],"study_design_scores_gemma":[0.00013906456,0.000024877654,0.007923596,0.000007893423,0.0000024854764,0.00009385556,0.00003658559,0.00046467368,0.000026909835,0.0067967256,0.98419523,0.0002881138],"about_ca_topic_score_codex":0.36885992,"about_ca_topic_score_gemma":0.19119254,"teacher_disagreement_score":0.8297553,"about_ca_system_score_codex":0.00033584467,"about_ca_system_score_gemma":0.0003451011,"threshold_uncertainty_score":0.99887824},"labels":[],"label_agreement":null},{"id":"W4247530623","doi":"10.1353/ctr.0.0017","title":"Futz Buddies: The Effect of \"An Evening with Futz \" on Buddies in Bad Times","year":2010,"lang":"en","type":"article","venue":"Canadian Theatre Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Evening; Judgement; Censorship; Art; Humanities; Art history; Media studies; Sociology; Political science; Law","score_opus":0.00907237245931419,"score_gpt":0.2025280490685782,"score_spread":0.193455676609264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247530623","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41408828,0.039626252,0.000006189785,0.0034285788,0.0006174847,0.0010635795,0.00014514825,0.000031185093,0.54099333],"genre_scores_gemma":[0.9820176,0.01665951,0.00013706318,0.00072237966,0.0001359864,0.000056552348,0.000016889431,0.000046475765,0.00020756933],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988586,0.000050701085,0.00044017378,0.00028626435,0.000022538123,0.0003417645],"domain_scores_gemma":[0.99888873,0.00016890057,0.00019868636,0.00056327967,0.000011424184,0.00016898775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012724557,0.00019263838,0.0006509037,0.00019865224,0.00010331728,0.00003668751,0.00031879346,0.00007948463,0.0005961475],"category_scores_gemma":[0.00009373022,0.0001413741,0.000104741484,0.00022390464,0.000093637565,0.00011586437,0.000016066242,0.00027287216,0.000193045],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010355513,0.000052744927,0.13750881,0.0030664632,0.0002147259,0.000049037295,0.00096295396,0.00014132453,0.000007518455,0.032637473,0.004518891,0.8207365],"study_design_scores_gemma":[0.00069737976,0.0006038722,0.00853796,0.0023782465,0.000057398316,0.000031053944,0.00006970875,0.0005543047,0.00006239793,0.0016227518,0.9847445,0.00064043474],"about_ca_topic_score_codex":0.021901172,"about_ca_topic_score_gemma":0.21584712,"teacher_disagreement_score":0.9802256,"about_ca_system_score_codex":0.00009912688,"about_ca_system_score_gemma":0.00008834958,"threshold_uncertainty_score":0.98461205},"labels":[],"label_agreement":null},{"id":"W4247744980","doi":"10.2139/ssrn.1532608","title":"A Debt Analysts’ View of Debt-Equity Conflicts of Interest","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Amorfix (Canada); University of Toronto","funders":"","keywords":"Debt; Senior debt; Equity value; Equity (law); Internal debt; Debt-to-GDP ratio; External debt; Financial system; Recourse debt; Debt levels and flows; Business; Monetary economics; Economics; Financial economics; Finance; Political science; Law","score_opus":0.04269954830463082,"score_gpt":0.25924137359120036,"score_spread":0.21654182528656954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247744980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95505404,0.0015035067,0.0018161937,0.00021804398,0.00045975338,0.000075688346,0.0000131048255,0.000009740895,0.040849924],"genre_scores_gemma":[0.99437445,0.0049625267,0.0001848008,0.00004301094,0.00013973797,0.0000016405703,0.000003017869,0.00002391194,0.00026688358],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99752337,0.000019128487,0.00097275357,0.00021061885,0.000030679294,0.0012434351],"domain_scores_gemma":[0.99856514,0.000050775583,0.0009006879,0.0003031653,0.000069147856,0.00011108184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034648252,0.00014798225,0.0005811175,0.00028058063,0.000070554786,0.00003739639,0.00045735706,0.00013251172,0.0003114775],"category_scores_gemma":[0.00021017458,0.00016032717,0.00025140351,0.00018666637,0.00010366782,0.00019371344,0.000087264205,0.0012227114,0.000061872764],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005882709,0.00012566567,0.05440344,0.000040486433,0.0002728371,0.0000010995352,0.00020708238,0.000010927423,0.0009965401,0.9129853,0.000035126937,0.030862655],"study_design_scores_gemma":[0.0013409852,0.00040068367,0.009409202,0.000047923015,0.000048665916,0.0001975942,0.0002779883,0.0008964806,0.0012058113,0.9662575,0.019489633,0.00042752776],"about_ca_topic_score_codex":0.00027089028,"about_ca_topic_score_gemma":0.0045191967,"teacher_disagreement_score":0.05327219,"about_ca_system_score_codex":0.00026010966,"about_ca_system_score_gemma":0.00044787055,"threshold_uncertainty_score":0.6537952},"labels":[],"label_agreement":null},{"id":"W4248059036","doi":"10.32920/ryerson.14667921","title":"Using Credit Scores to Predict and Analyze Areas of Gentrification and Urban Development in Toronto, Canada - a Geo-Spatial Approach","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Gentrification; Regent; Redevelopment; Economic geography; Geography; Regional science; Economics; Economic growth; Civil engineering; Engineering","score_opus":0.03461427444597593,"score_gpt":0.2153197264229332,"score_spread":0.18070545197695728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248059036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97346467,0.002007234,0.011874574,0.00003894087,0.00032789362,0.00036197124,0.00008037137,0.000008847349,0.011835486],"genre_scores_gemma":[0.9854609,0.00047931698,0.013682555,0.000039830964,0.00008987868,0.00002653182,0.00012337197,0.000021750564,0.0000758798],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981983,0.000017158667,0.00085569016,0.0006494817,0.000041870622,0.00023753224],"domain_scores_gemma":[0.99914795,0.000026815476,0.00035481577,0.00029812427,0.000038444177,0.000133822],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004704448,0.0002136468,0.00062954595,0.000171114,0.000049781294,0.000117508964,0.00014750147,0.00017769425,0.00012812199],"category_scores_gemma":[0.0000755068,0.00027359606,0.00003462009,0.00007580848,0.000028768207,0.00010433305,0.0003432552,0.00013974927,3.7344333e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004764493,0.000096725926,0.9857089,0.0004433761,0.00015721224,0.000004921467,0.0018980632,0.0028435385,0.000010096394,0.0012850217,0.00034714153,0.007157377],"study_design_scores_gemma":[0.00067403674,0.000022933247,0.8255298,0.00017253618,0.000028301502,0.000007425552,0.0008991895,0.16783266,0.00013720342,0.0002789442,0.0036003508,0.00081658515],"about_ca_topic_score_codex":0.812562,"about_ca_topic_score_gemma":0.8058959,"teacher_disagreement_score":0.16498911,"about_ca_system_score_codex":0.0010626523,"about_ca_system_score_gemma":0.00055456517,"threshold_uncertainty_score":0.9999716},"labels":[],"label_agreement":null},{"id":"W4248429440","doi":"10.4095/301390","title":"Housing Ownership, 2006 - Percentage of Population Living in Band Housing by Census Division","year":2010,"lang":"en","type":"report","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Division (mathematics); Geography; Subdivision; Population; Socioeconomics; Demographic economics; Demography; Sociology; Economics; Mathematics; Archaeology","score_opus":0.040010233015527856,"score_gpt":0.2504032505185759,"score_spread":0.21039301750304806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248429440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7502531,0.00092356297,0.00026304103,0.000039674516,0.002031882,0.0003075503,0.0004137288,0.00006607457,0.24570139],"genre_scores_gemma":[0.9937505,0.0025861154,0.00054027373,0.000032678494,0.00030329393,0.00000546816,0.0005392616,0.0001468959,0.0020954888],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99656105,0.000032825887,0.0018921911,0.000821669,0.000122010744,0.00057026075],"domain_scores_gemma":[0.99762535,0.00017040667,0.0015402074,0.00049381185,0.00005979278,0.00011042552],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002504026,0.00043609,0.001282573,0.000845005,0.00012804338,0.0001773372,0.00029071225,0.00091052166,0.0006124065],"category_scores_gemma":[0.00037689152,0.0005141374,0.0002700787,0.00021451914,0.00006553971,0.00035484822,0.00013806442,0.00076472125,0.00004006265],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015824991,0.00019772918,0.97722715,0.00049225433,0.000047365345,0.000006618396,0.00021736127,0.00017631812,0.00013707494,0.00027004335,0.0049435,0.016268762],"study_design_scores_gemma":[0.0016041189,0.0001512018,0.7073377,0.0027453161,0.00009466372,0.000021827807,0.00041980846,0.008271021,0.0001718333,0.003183715,0.27196234,0.004036464],"about_ca_topic_score_codex":0.02604714,"about_ca_topic_score_gemma":0.005593057,"teacher_disagreement_score":0.26988947,"about_ca_system_score_codex":0.0008002359,"about_ca_system_score_gemma":0.00008887517,"threshold_uncertainty_score":0.999731},"labels":[],"label_agreement":null},{"id":"W4248558957","doi":"10.53383/100181","title":"International Real Estate Review","year":2014,"lang":"en","type":"article","venue":"International Real Estate Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; House price; Inflation (cosmology); Economics; Quarter (Canadian coin); Crash; Financial crisis; Population; Financial market; Monetary economics; Financial economics; Finance; Macroeconomics; Geography; Demography","score_opus":0.031659204216039745,"score_gpt":0.2760689477993444,"score_spread":0.24440974358330464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248558957","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009511538,0.00066380587,0.00035873076,0.0057632886,0.0019066383,0.00032958656,0.00014624171,0.000083565865,0.989797],"genre_scores_gemma":[0.0027374902,0.994044,0.0008486826,0.0011604638,0.00041786925,0.000062639854,0.00032328954,0.00004976639,0.00035582003],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99752367,0.00005398087,0.001372249,0.00058388786,0.0001255173,0.0003406774],"domain_scores_gemma":[0.9983065,0.00013908261,0.0007962924,0.00045239713,0.00014327785,0.00016246582],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001813537,0.0002794576,0.0007607644,0.000170281,0.00006882707,0.0001136621,0.0008100293,0.000072623494,0.0022967858],"category_scores_gemma":[0.00059334864,0.00030618798,0.0003199567,0.0001648739,0.000065866814,0.00044287622,0.00016594135,0.00021961026,0.0028327552],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009537674,0.000047641162,0.0014907357,0.0011548848,0.000082754734,0.0000072727753,0.00003489973,0.00001106433,0.0000013484123,0.0021538336,0.007242421,0.9877636],"study_design_scores_gemma":[0.00026991245,0.000027954422,0.0010885956,0.0022645975,0.000023103403,0.000027054493,0.0000032486223,0.0018451444,0.0000017323737,0.00027109546,0.99385446,0.00032311855],"about_ca_topic_score_codex":0.00096424425,"about_ca_topic_score_gemma":0.000082985745,"teacher_disagreement_score":0.9933802,"about_ca_system_score_codex":0.00030860427,"about_ca_system_score_gemma":0.000041692234,"threshold_uncertainty_score":0.999939},"labels":[],"label_agreement":null},{"id":"W4249623544","doi":"10.1111/1468-0319.12377","title":"Assessing the risks from high house prices","year":2018,"lang":"en","type":"article","venue":"Economic Outlook","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"House price; Economics; Inflation (cosmology); Price index; Index (typography); Falling (accident); Emerging markets; Monetary economics; Macroeconomics","score_opus":0.06333726155709382,"score_gpt":0.27204680840788975,"score_spread":0.20870954685079593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249623544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8288328,0.00024028952,0.00097094907,0.0010357602,0.0028471388,0.00016386695,0.000086133696,0.00016597364,0.16565707],"genre_scores_gemma":[0.99439687,0.00018068592,0.0014731291,0.0007730961,0.0023460623,0.000019393783,0.000014726037,0.00008964855,0.0007063704],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980466,0.000024818646,0.0007935041,0.00064884854,0.000019130382,0.0004670937],"domain_scores_gemma":[0.99827605,0.00021049786,0.0005883952,0.0008018819,0.000015219234,0.00010797146],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00086562324,0.00025121652,0.00048466155,0.00013224393,0.00041391896,0.0007555633,0.0006270766,0.00015605832,0.0035593053],"category_scores_gemma":[0.0000651984,0.00024773728,0.00015768441,0.00006734373,0.00026673972,0.00085357216,0.00016878561,0.000212192,0.02044255],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009252974,0.00022372368,0.6905039,0.000028658884,0.0007527809,0.000011353773,0.004900615,0.00069415965,0.00006481377,0.21701972,0.04016805,0.045539714],"study_design_scores_gemma":[0.0015910483,0.00011238616,0.35001186,0.000029918929,0.000045600806,0.000006974035,0.0006391727,0.017375557,0.00055083266,0.16807853,0.4602812,0.0012769492],"about_ca_topic_score_codex":0.003773181,"about_ca_topic_score_gemma":0.00045700878,"teacher_disagreement_score":0.42011315,"about_ca_system_score_codex":0.0003048694,"about_ca_system_score_gemma":0.000058284128,"threshold_uncertainty_score":0.9999975},"labels":[],"label_agreement":null},{"id":"W4249879407","doi":"10.1016/b978-0-08-047163-1.00639-1","title":"Housing Statistics","year":2012,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Comparability; Descriptive statistics; Statistics; Economic statistics; Economic rent; Economics; Econometrics; Actuarial science; Mathematics; Microeconomics","score_opus":0.03262067310683636,"score_gpt":0.21194881958418754,"score_spread":0.17932814647735118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249879407","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000034998688,0.0032118412,0.00027384298,0.000029484932,0.0014863723,0.00025344183,0.0005960952,0.00008514733,0.99402875],"genre_scores_gemma":[0.0021863007,0.0013122123,0.0033987374,0.00030194485,0.0010546275,0.000010608698,0.000090656125,0.00024265189,0.99140227],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979362,0.00000599123,0.00096700067,0.0005263542,0.000042478154,0.0005219803],"domain_scores_gemma":[0.9982876,0.000060940492,0.0007725518,0.0006493463,0.000032773907,0.00019676746],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00052608876,0.0004540165,0.00091150345,0.0002797159,0.0001493212,0.0001283365,0.000297578,0.00045691777,0.0025985888],"category_scores_gemma":[0.000026199308,0.00059610384,0.00023175719,0.000009768061,0.00012877466,0.00009422317,0.0001444805,0.00047116078,0.006865765],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005200589,0.000006030703,0.00014859995,0.000054394568,0.00007104282,0.0000064995183,0.00010439297,9.717677e-7,2.1339856e-7,0.28552565,0.00064258435,0.7134344],"study_design_scores_gemma":[0.00015362819,0.000016420525,0.000030678526,0.000056203822,0.00003101155,0.0000050565864,0.0000019207316,0.000041459945,0.0000012714543,0.17523569,0.82385695,0.00056969473],"about_ca_topic_score_codex":0.0000024266144,"about_ca_topic_score_gemma":0.000030136714,"teacher_disagreement_score":0.8232144,"about_ca_system_score_codex":0.00026429692,"about_ca_system_score_gemma":0.00004900186,"threshold_uncertainty_score":0.99964905},"labels":[],"label_agreement":null},{"id":"W4250561297","doi":"10.31235/osf.io/nehzj","title":"Filling the Gaps: Vacancy Chains and Agent-Based Models","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Mortgage and Housing Corporation","funders":"","keywords":"Vacancy defect; Computer science; Bureaucracy; Coding (social sciences); Statistical physics; Symbol (formal); Physics; Mathematics; Statistics; Political science","score_opus":0.0881260670938105,"score_gpt":0.22539929639083542,"score_spread":0.1372732292970249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250561297","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12258587,0.005776359,0.19177012,0.01944951,0.0029401623,0.001194822,0.0006587744,0.00036264423,0.65526175],"genre_scores_gemma":[0.9903263,0.003056033,0.0028535777,0.0023267718,0.00036105496,0.000056658937,0.000066962515,0.00007045642,0.00088218594],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99822754,0.000017472603,0.00066336116,0.0007426875,0.000025177433,0.00032373753],"domain_scores_gemma":[0.99878645,0.00008926106,0.00039727768,0.0005824456,0.000017287133,0.00012729109],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005270982,0.00030111693,0.000590814,0.00013026025,0.00016550825,0.00030659416,0.00043605626,0.00026580313,0.0003886226],"category_scores_gemma":[0.000054772514,0.00028947735,0.00020131,0.000081346276,0.00006813398,0.00009698859,0.00046780246,0.0005255062,0.00018035951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000882058,0.00013846302,0.014296703,0.0009637479,0.00046708353,0.000017985254,0.002889027,0.16653217,0.0000040543096,0.7865218,0.014332215,0.013748578],"study_design_scores_gemma":[0.00028404148,0.000016178406,0.00037985365,0.000037268695,0.000013882786,7.092048e-7,0.000058096368,0.8068738,0.000011096935,0.17244774,0.019443957,0.0004333867],"about_ca_topic_score_codex":0.00047675267,"about_ca_topic_score_gemma":0.00007750414,"teacher_disagreement_score":0.86774045,"about_ca_system_score_codex":0.000105665065,"about_ca_system_score_gemma":0.000065447915,"threshold_uncertainty_score":0.9999557},"labels":[],"label_agreement":null},{"id":"W4251065820","doi":"10.32920/ryerson.14668266","title":"Addressing landlord absenteeism along Hamilton’s Barton Street commercial corridor","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Toronto Metropolitan University","funders":"","keywords":"Landlord; Investment (military); Absenteeism; Business; Land Values; Finance; Economics; Political science; Land use; Engineering; Management; Civil engineering; Law","score_opus":0.10893105452073802,"score_gpt":0.26667249577707136,"score_spread":0.15774144125633333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251065820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70814025,0.00091780745,0.0031910895,0.000437092,0.0055638496,0.00031512877,0.00032129238,0.00017734841,0.28093612],"genre_scores_gemma":[0.9911236,0.0015413988,0.0023540908,0.00106723,0.0010048957,0.000042794698,0.00079003605,0.0001224561,0.0019534784],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966992,0.000041905514,0.0013772169,0.0011689473,0.00005710156,0.00065559393],"domain_scores_gemma":[0.99779373,0.000099124634,0.0007597406,0.0010689019,0.00006323205,0.00021525289],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000736518,0.0005377148,0.0013253787,0.0003394303,0.00022899873,0.0008093528,0.0006181067,0.0006866544,0.0026337039],"category_scores_gemma":[0.00009667537,0.0006943423,0.0004934136,0.00012435435,0.00009542627,0.00026053778,0.00082522555,0.0009832191,0.0005248394],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012131695,0.0006282621,0.89184755,0.00086498394,0.0007804622,0.00020597596,0.004051398,0.0036059108,0.000008538301,0.0169646,0.048781205,0.032139793],"study_design_scores_gemma":[0.0062400154,0.00021226757,0.4161776,0.0017570165,0.0002546966,0.00005943341,0.0030613705,0.09782183,0.00051928405,0.029098354,0.43571076,0.0090873595],"about_ca_topic_score_codex":0.0041736523,"about_ca_topic_score_gemma":0.0051139756,"teacher_disagreement_score":0.47566995,"about_ca_system_score_codex":0.00034819212,"about_ca_system_score_gemma":0.00013289945,"threshold_uncertainty_score":0.99955076},"labels":[],"label_agreement":null},{"id":"W4251168279","doi":"10.32920/ryerson.14651523","title":"The impact of inclusionary zoning on Toronto's neighbourhoods","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Zoning; Affordable housing; Business; Real estate; Christian ministry; Low income; Finance; Economic growth; Economics; Political science; Demographic economics","score_opus":0.025876185388743186,"score_gpt":0.2613045806798619,"score_spread":0.2354283952911187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251168279","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3944766,0.0023553018,0.00033617055,0.00018758533,0.0011437739,0.00015373186,0.000062730316,0.000030083802,0.60125405],"genre_scores_gemma":[0.9932372,0.004691799,0.0005007618,0.00006815228,0.00023981504,0.000014846206,0.000050807215,0.000046850302,0.0011497821],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9981842,0.000028843026,0.0008942588,0.0005192334,0.000033747503,0.0003397423],"domain_scores_gemma":[0.99799937,0.00022377846,0.0007038923,0.00094345235,0.000041842504,0.00008767288],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00089704833,0.00028744029,0.00069471885,0.00007337376,0.00022692258,0.00022023331,0.00055659516,0.0003089675,0.002866799],"category_scores_gemma":[0.00015480623,0.00023927746,0.0006421231,0.00005895193,0.000062121704,0.00012737483,0.0012403411,0.0003991093,0.00006614018],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007175771,0.0016787832,0.23543923,0.00047857797,0.0037405158,0.000047492817,0.0069162296,0.07971457,0.000066594046,0.48531887,0.024556868,0.16132471],"study_design_scores_gemma":[0.0024949326,0.0011594954,0.50425464,0.0008364454,0.00007221705,0.000025468713,0.002261058,0.1962013,0.0002684847,0.2629834,0.02529042,0.004152158],"about_ca_topic_score_codex":0.011074797,"about_ca_topic_score_gemma":0.0008251962,"teacher_disagreement_score":0.6001043,"about_ca_system_score_codex":0.00076062256,"about_ca_system_score_gemma":0.00017170468,"threshold_uncertainty_score":0.9980447},"labels":[],"label_agreement":null},{"id":"W4251398823","doi":"10.53383/100231","title":"International Real Estate Review","year":2016,"lang":"en","type":"article","venue":"International Real Estate Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministry of Education, India; National Science Foundation","keywords":"Incineration; Real estate; China; Externality; Environmental science; Hedonic pricing; Agricultural economics; Natural resource economics; Business; Geography; Economics; Engineering; Econometrics; Finance; Waste management; Archaeology","score_opus":0.03841296491873396,"score_gpt":0.28153815270445093,"score_spread":0.24312518778571696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251398823","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010790366,0.0008927602,0.00027477831,0.012271505,0.0018284019,0.00034688826,0.00034690628,0.00008212306,0.9828776],"genre_scores_gemma":[0.002241308,0.99520487,0.0005180162,0.00072552456,0.00033232916,0.000072110975,0.00013188449,0.000048629794,0.0007253168],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.997528,0.000038784812,0.0013640509,0.00059271866,0.00012344054,0.00035297536],"domain_scores_gemma":[0.99831873,0.00015452628,0.0007755697,0.0004384042,0.00015090039,0.0001618389],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012854633,0.00027389554,0.0006920675,0.00016989482,0.000056572404,0.00007738281,0.00079196267,0.00007036429,0.0041886303],"category_scores_gemma":[0.0005104962,0.00023791961,0.00032236823,0.00014760307,0.00008001582,0.0005813795,0.00017378498,0.00013753658,0.0039313463],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001338245,0.00004468733,0.0020307514,0.000716922,0.00009900452,0.000017961383,0.000023966706,0.0000011153652,0.0000058651626,0.0012815188,0.008748993,0.98701584],"study_design_scores_gemma":[0.000347673,0.000023497005,0.0011700992,0.0041241357,0.000019897272,0.000032973494,0.0000026328426,0.000111793386,0.000004359287,0.00024668724,0.9936005,0.00031573407],"about_ca_topic_score_codex":0.00062350347,"about_ca_topic_score_gemma":0.000070006645,"teacher_disagreement_score":0.9943121,"about_ca_system_score_codex":0.00045904296,"about_ca_system_score_gemma":0.00005914088,"threshold_uncertainty_score":0.99684423},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"split"},{"id":"W4252100590","doi":"10.32920/ryerson.14655141.v1","title":"Options for Homes in Metro Vancouver: the creation of cost-effective home ownership opportunities","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Panacea (medicine); Business; Car ownership; Economic growth; Finance; Economics; Public transport; Engineering; Transport engineering","score_opus":0.09262025309155321,"score_gpt":0.2643739737268774,"score_spread":0.17175372063532418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252100590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67697126,0.004240389,0.045386996,0.0025436287,0.0066860183,0.0078817615,0.0017306599,0.00011930667,0.25443998],"genre_scores_gemma":[0.99124646,0.00327332,0.0019172244,0.00011340283,0.00013548887,0.0013722131,0.00025947596,0.000041928022,0.0016404657],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983607,0.000052575164,0.0008356025,0.00045923094,0.000026596064,0.0002653003],"domain_scores_gemma":[0.9981638,0.0005402125,0.0006481038,0.0005129667,0.000086785636,0.00004810973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014834113,0.0002321686,0.00080175564,0.00045678442,0.000079792575,0.00014242444,0.00031520918,0.0002724136,0.00032204625],"category_scores_gemma":[0.00022882172,0.00022089979,0.00033171408,0.00014231123,0.00010238274,0.00018169032,0.00022967583,0.00028320472,0.000007324107],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035767726,0.0008169577,0.22377169,0.002024145,0.0012823949,0.000008391786,0.0054931235,0.027302109,0.000006442516,0.6196018,0.010064328,0.10927096],"study_design_scores_gemma":[0.0057019214,0.0004653548,0.12401708,0.0007547477,0.0003075419,0.0000022159443,0.05168331,0.10561713,0.0006702796,0.5486272,0.15848665,0.0036665837],"about_ca_topic_score_codex":0.00085897825,"about_ca_topic_score_gemma":0.009428525,"teacher_disagreement_score":0.3142752,"about_ca_system_score_codex":0.000351,"about_ca_system_score_gemma":0.000111603185,"threshold_uncertainty_score":0.9008032},"labels":[],"label_agreement":null},{"id":"W4252451758","doi":"10.1111/1540-6229.12253","title":"Issue Information","year":2019,"lang":"en","type":"paratext","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University","keywords":"Citation; Real estate; Computer science; Information retrieval; Library science; Political science; Law","score_opus":0.01628429518324375,"score_gpt":0.2106902662021717,"score_spread":0.19440597101892795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252451758","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009506938,0.00012091251,0.00028446634,0.0002929957,0.019464012,0.0005205818,0.0025542325,0.000068375695,0.96718746],"genre_scores_gemma":[0.010617891,0.4633011,0.0013056981,0.0014853786,0.0035235402,0.00012410208,0.0101568755,0.00047925397,0.50900614],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966148,0.000018314962,0.0018934075,0.00070771715,0.000023294117,0.00074245094],"domain_scores_gemma":[0.9969041,0.00008926832,0.0017758185,0.0009796082,0.000045136054,0.00020608118],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00060767715,0.0006031309,0.001425686,0.00064013817,0.00013024654,0.0005401498,0.0006537676,0.000788977,0.010586043],"category_scores_gemma":[0.000035953482,0.0008371026,0.00036847315,0.0001259446,0.00008209536,0.001420868,0.00020579106,0.0005538902,0.5453758],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010237998,0.00007272966,0.00067111035,0.0006467843,0.00031278623,0.0000017007807,0.0012728657,0.015481784,3.3734864e-7,0.016264187,0.8697696,0.09540376],"study_design_scores_gemma":[0.00057261164,0.000062581676,0.000107826694,0.00002917548,0.00001060093,0.0000048031493,0.0000832607,0.0068177395,0.0000055017717,0.0013297792,0.9900474,0.00092875375],"about_ca_topic_score_codex":0.0020115783,"about_ca_topic_score_gemma":0.00009740262,"teacher_disagreement_score":0.5347898,"about_ca_system_score_codex":0.0008703115,"about_ca_system_score_gemma":0.00022547467,"threshold_uncertainty_score":0.999408},"labels":[],"label_agreement":null},{"id":"W4252534840","doi":"10.32920/ryerson.14647113","title":"Regulations in Planning Understanding the Relationship of the Growth Plan for the Greater Golden Horseshoe and Housing Affordability","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Toronto Metropolitan University","funders":"Strong","keywords":"Plan (archaeology); Supply and demand; Business; Process (computing); Common ground; Economics; Environmental resource management; Operations management; Geography; Microeconomics; Computer science","score_opus":0.1743877402587241,"score_gpt":0.2604814029650282,"score_spread":0.08609366270630409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252534840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94690794,0.0004130033,0.03201177,0.003391738,0.00065055804,0.00089679577,0.00009214229,0.000019619234,0.015616435],"genre_scores_gemma":[0.9990347,0.00006630581,0.0005231892,0.000073371,0.000076446144,0.000048774087,0.000017034696,0.000025896803,0.0001343068],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986279,0.00005228998,0.0006825708,0.00039062958,0.000029713925,0.00021689788],"domain_scores_gemma":[0.997629,0.0012612502,0.0004509931,0.00061190437,0.000023230858,0.000023620252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016754883,0.0001754633,0.00036203358,0.00011861549,0.0004200712,0.00024702583,0.00033909967,0.00020179701,0.000030273019],"category_scores_gemma":[0.00047504524,0.00011539546,0.00017315442,0.00016566823,0.00019062874,0.00011473293,0.00040311806,0.00039849136,7.2095816e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016841348,0.000011296839,0.8762071,0.000094114796,0.000047773545,1.6055044e-7,0.0031719008,0.007213178,4.851793e-7,0.113090344,0.000085561835,0.000061198785],"study_design_scores_gemma":[0.0002824919,0.0000075301386,0.6940532,0.00014453527,0.000031366297,0.000002106403,0.0037295073,0.032707095,0.000008302199,0.2687149,0.00010674145,0.00021222817],"about_ca_topic_score_codex":0.00047657496,"about_ca_topic_score_gemma":0.00095924304,"teacher_disagreement_score":0.18215396,"about_ca_system_score_codex":0.00027794368,"about_ca_system_score_gemma":0.000059935206,"threshold_uncertainty_score":0.47056904},"labels":[],"label_agreement":null},{"id":"W4252550354","doi":"10.1177/001088040004100602","title":"Refining Estimates of Hotel-financing Costs","year":2000,"lang":"en","type":"article","venue":"Cornell Hotel and Restaurant Administration Quarterly","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Interest rate; Economics; Econometrics; Bond; Regression analysis; Actuarial science; Business; Finance; Statistics; Mathematics; Geography","score_opus":0.022694819636341516,"score_gpt":0.21234216208054954,"score_spread":0.18964734244420803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252550354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9573052,0.00046385665,0.0009958228,0.000091831665,0.000186901,0.00009316235,0.00004223694,0.00004536442,0.04077561],"genre_scores_gemma":[0.9981126,0.00031799165,0.0008132113,0.000050324456,0.00007280635,0.0000071574595,0.000031056712,0.000023314326,0.0005715339],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9985124,0.00001425813,0.00078205037,0.0003951288,0.000029421746,0.00026676728],"domain_scores_gemma":[0.9992072,0.00009281957,0.00030690586,0.00026348667,0.000025043648,0.00010452251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036548977,0.00018704956,0.00041386965,0.000111632406,0.00012292808,0.00011143903,0.00012411192,0.00012998405,0.0004225516],"category_scores_gemma":[0.000028557532,0.00021025898,0.00008172468,0.00012486875,0.00011997929,0.0002770216,0.000006711535,0.00012391705,0.00014002084],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011338544,0.00053253566,0.18167476,0.0004393997,0.00013996416,0.00009502293,0.005005918,0.00029120749,0.001366363,0.032869317,0.000804716,0.7756469],"study_design_scores_gemma":[0.0071670846,0.006856935,0.7867773,0.00074933097,0.00012585601,0.00036698522,0.002652101,0.053922363,0.004009121,0.11004023,0.023488255,0.0038444311],"about_ca_topic_score_codex":0.00015786623,"about_ca_topic_score_gemma":0.00015368205,"teacher_disagreement_score":0.7718025,"about_ca_system_score_codex":0.00003672531,"about_ca_system_score_gemma":0.00003561224,"threshold_uncertainty_score":0.8574112},"labels":[],"label_agreement":null},{"id":"W4253036948","doi":"10.32920/ryerson.14663274","title":"The costs and risks of Brownfield redevelopment versus Greenfield development : a private sector perspective on the effectiveness of community incentive packages. A case study of Waterloo, Ontario","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Brownfield; Redevelopment; Business; Incentive; Private sector; Government (linguistics); Environmental planning; Greenfield project; Finance; Engineering; Civil engineering; Economics; Economic growth; Geography","score_opus":0.11156732006417613,"score_gpt":0.2800908583456037,"score_spread":0.16852353828142758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253036948","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.984047,0.000117551455,0.000062181716,0.000055507848,0.0004966823,0.0012757092,0.000028172582,0.000008918413,0.013908258],"genre_scores_gemma":[0.99943846,0.00016663213,0.00015314302,0.000014940284,0.000009665294,0.000096308,0.000009230823,0.000021072883,0.00009054672],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9978084,0.00046676846,0.001006833,0.00040354882,0.000073843716,0.00024058059],"domain_scores_gemma":[0.9956253,0.0023290324,0.00092321436,0.0008764827,0.00019386271,0.000052110023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034011845,0.00032157873,0.0009142375,0.00015185656,0.0003461409,0.00008108429,0.00046313665,0.00021432487,0.000103885104],"category_scores_gemma":[0.0002665552,0.00024134619,0.0001370827,0.00012724145,0.00019238667,0.000052936128,0.0012728258,0.0009317417,0.0000012188489],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006648293,0.004797095,0.40814728,0.0011471517,0.009124414,0.00012623344,0.53822166,0.0003689914,0.000059056485,0.022270262,0.00008195298,0.009007654],"study_design_scores_gemma":[0.0073320414,0.0023709147,0.6159083,0.0010749294,0.00023218417,0.000029630834,0.34934264,0.00014535716,0.015839,0.0060755904,0.00026675552,0.0013826108],"about_ca_topic_score_codex":0.36533976,"about_ca_topic_score_gemma":0.34899357,"teacher_disagreement_score":0.20776108,"about_ca_system_score_codex":0.0010268881,"about_ca_system_score_gemma":0.00027107866,"threshold_uncertainty_score":0.9841812},"labels":[],"label_agreement":null},{"id":"W4253213262","doi":"10.33423/jabe.v21i8.2595","title":"The U.S. Housing Bubble: Implications for Monetary Policy and the Global Supply of Saving","year":2019,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Boom; Economics; Monetary economics; Monetary policy; Balance sheet; House price; Capital (architecture); Balance (ability); Lag; Macroeconomics; Finance","score_opus":0.012271446747502373,"score_gpt":0.20529612522084012,"score_spread":0.19302467847333774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253213262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98045456,0.0012808398,0.00068842847,0.005807561,0.0003415029,0.000308401,0.00008080117,0.0000041240987,0.011033774],"genre_scores_gemma":[0.98943084,0.009068918,0.0009035098,0.0002646076,0.0002837565,0.000007328706,0.0000029399685,0.000018465873,0.000019624253],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987411,0.0000049777605,0.0008574675,0.0001687877,0.00001177165,0.00021590665],"domain_scores_gemma":[0.99827576,0.00029939658,0.0010723373,0.000227635,0.000068314206,0.00005656276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010606973,0.0001322173,0.0005151009,0.000091903974,0.00022615989,0.00019063202,0.00023592914,0.00007503142,0.0000052364394],"category_scores_gemma":[0.0000673399,0.00009967054,0.000098734105,0.00013108869,0.0001985879,0.00020463853,0.000086270644,0.00009024041,0.0000032313894],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005689633,0.000025899046,0.06009015,0.00006718744,0.00013536018,7.0374284e-8,0.00018031472,0.0027713971,0.0000133323565,0.90667826,0.00014490641,0.029324148],"study_design_scores_gemma":[0.004945811,0.00005918679,0.25882733,0.000033669756,0.000060274546,0.000051109073,0.00042253843,0.006843614,0.000015405723,0.6659721,0.06242188,0.0003470812],"about_ca_topic_score_codex":0.00013817636,"about_ca_topic_score_gemma":0.000071228,"teacher_disagreement_score":0.24070618,"about_ca_system_score_codex":0.00010207378,"about_ca_system_score_gemma":0.00008924721,"threshold_uncertainty_score":0.40644467},"labels":[],"label_agreement":null},{"id":"W4253259376","doi":"10.1080/10511482.2016.1173936","title":"Erratum","year":2016,"lang":"en","type":"erratum","venue":"Housing Policy Debate","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Renting; Rental housing; Measure (data warehouse); Business; Transit (satellite); Economics; Political science; Computer science; Transport engineering; Engineering; Public transport; Law","score_opus":0.0323163506646349,"score_gpt":0.24424751045146173,"score_spread":0.21193115978682683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253259376","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002312564,0.0018543367,0.0005662452,0.0028340148,0.041197397,0.00020744417,0.000470836,0.0003206959,0.9523178],"genre_scores_gemma":[0.015448815,0.0141755445,0.00045208892,0.002819483,0.020716581,0.00004392095,0.00028575503,0.0006445385,0.9454133],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.996355,0.000031976597,0.0012502194,0.0010835279,0.00006338686,0.0012158789],"domain_scores_gemma":[0.99732244,0.00005721327,0.0011074079,0.0011852401,0.000047772763,0.00027995463],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006187681,0.0006844286,0.0013338143,0.0012225717,0.0003056737,0.00038893297,0.0007486372,0.0010740213,0.00063820975],"category_scores_gemma":[0.00033726744,0.0007404418,0.0004674795,0.00038823788,0.00019111099,0.00030803584,0.0002733308,0.0008302896,0.0081990855],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013331706,0.000032610063,0.00040027057,0.000102648366,0.00010055303,0.000021517215,0.00013820075,0.000004251359,0.000002174077,0.02934585,0.964155,0.0056835855],"study_design_scores_gemma":[0.00036430577,0.000029534498,0.00019981182,0.00019585314,0.000014353687,0.000014854822,0.000004738569,0.00021768754,0.000004468656,0.07894437,0.919102,0.0009080121],"about_ca_topic_score_codex":0.0012750656,"about_ca_topic_score_gemma":0.0001966853,"teacher_disagreement_score":0.04959852,"about_ca_system_score_codex":0.0008512961,"about_ca_system_score_gemma":0.00041989092,"threshold_uncertainty_score":0.9995047},"labels":[],"label_agreement":null},{"id":"W4253502745","doi":"10.32920/ryerson.14647113.v1","title":"Regulations in Planning Understanding the Relationship of the Growth Plan for the Greater Golden Horseshoe and Housing Affordability","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Toronto Metropolitan University","funders":"Strong","keywords":"Plan (archaeology); Supply and demand; Business; Process (computing); Common ground; Environmental resource management; Operations management; Economics; Geography; Computer science; Microeconomics","score_opus":0.1743877402587241,"score_gpt":0.2604814029650282,"score_spread":0.08609366270630409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253502745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94690794,0.0004130033,0.03201177,0.003391738,0.00065055804,0.00089679577,0.00009214229,0.000019619234,0.015616435],"genre_scores_gemma":[0.9990347,0.00006630581,0.0005231892,0.000073371,0.000076446144,0.000048774087,0.000017034696,0.000025896803,0.0001343068],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986279,0.00005228998,0.0006825708,0.00039062958,0.000029713925,0.00021689788],"domain_scores_gemma":[0.997629,0.0012612502,0.0004509931,0.00061190437,0.000023230858,0.000023620252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016754883,0.0001754633,0.00036203358,0.00011861549,0.0004200712,0.00024702583,0.00033909967,0.00020179701,0.000030273019],"category_scores_gemma":[0.00047504524,0.00011539546,0.00017315442,0.00016566823,0.00019062874,0.00011473293,0.00040311806,0.00039849136,7.2095816e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016841348,0.000011296839,0.8762071,0.000094114796,0.000047773545,1.6055044e-7,0.0031719008,0.007213178,4.851793e-7,0.113090344,0.000085561835,0.000061198785],"study_design_scores_gemma":[0.0002824919,0.0000075301386,0.6940532,0.00014453527,0.000031366297,0.000002106403,0.0037295073,0.032707095,0.000008302199,0.2687149,0.00010674145,0.00021222817],"about_ca_topic_score_codex":0.00047657496,"about_ca_topic_score_gemma":0.00095924304,"teacher_disagreement_score":0.18215396,"about_ca_system_score_codex":0.00027794368,"about_ca_system_score_gemma":0.000059935206,"threshold_uncertainty_score":0.47056904},"labels":[],"label_agreement":null},{"id":"W4253659263","doi":"10.32920/ryerson.14648874.v1","title":"Creating incubator neighbourhood performing arts venues using growth financing tools","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; Langara College; Simon Fraser University","funders":"","keywords":"Incubator; Downtown; The arts; Business; Renting; Neighbourhood (mathematics); Amenity; Marketing; Plan (archaeology); Space (punctuation); Business plan; Finance; Visual arts; Geography; Computer science; Engineering; Civil engineering","score_opus":0.06706338217442398,"score_gpt":0.23944020280336886,"score_spread":0.17237682062894488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253659263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81464565,0.0010714215,0.0061300895,0.00009321228,0.0018129242,0.00021381145,0.00007565329,0.00009885204,0.17585841],"genre_scores_gemma":[0.98194295,0.00068599964,0.015815869,0.00019820289,0.0008669624,0.000024332026,0.000103294275,0.00011316287,0.00024920257],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99703676,0.000021855501,0.0012455861,0.0010133984,0.00004758696,0.00063479226],"domain_scores_gemma":[0.9980278,0.00013013068,0.0009467769,0.0006794974,0.00007742455,0.00013837552],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009216336,0.0004566347,0.0011166452,0.00033459315,0.00036638425,0.0010994027,0.00041123628,0.00049309066,0.00089766044],"category_scores_gemma":[0.0006360149,0.0006242263,0.00038240515,0.00016745516,0.000046426238,0.00061580725,0.00095797563,0.00075665367,0.00011917311],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009677994,0.00064028695,0.70823705,0.004090512,0.0011937772,0.00029646014,0.01675992,0.022798384,0.00047349097,0.16406913,0.0008322451,0.08051195],"study_design_scores_gemma":[0.0032218439,0.00020852764,0.086578034,0.0048691006,0.00031547263,0.00019828948,0.004447362,0.74959034,0.004391134,0.12153484,0.014750049,0.0098950425],"about_ca_topic_score_codex":0.0014130614,"about_ca_topic_score_gemma":0.00008744753,"teacher_disagreement_score":0.7267919,"about_ca_system_score_codex":0.0005746347,"about_ca_system_score_gemma":0.00022024133,"threshold_uncertainty_score":0.99993753},"labels":[],"label_agreement":null},{"id":"W4253702157","doi":"10.26686/wgtn.17135018.v1","title":"Essays on modern economic issues in international trade, exchange rates and housing","year":2019,"lang":"en","type":"dissertation","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Victoria University; Victoria University of Wellington","keywords":"Endogeneity; Economics; Data quality; Aggregate data; Bilateral trade; Quality (philosophy); Ranking (information retrieval); Index (typography); Consumption (sociology); Value (mathematics); International economics; International trade; Econometrics; Economy; Geography; China","score_opus":0.025953371575655405,"score_gpt":0.25257682136126536,"score_spread":0.22662344978560994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253702157","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4850085,0.0011733988,0.00001883638,0.00056367065,0.0026125393,0.00023686352,0.00011074347,0.000037633858,0.5102378],"genre_scores_gemma":[0.97882956,0.00805604,0.00017124656,0.00019616987,0.0003057343,0.000037139966,0.00056656444,0.0000987368,0.011738813],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983306,0.000010932264,0.00068131683,0.0006735774,0.000023576355,0.00028001162],"domain_scores_gemma":[0.9992441,0.0000645706,0.0003803308,0.00025359198,0.00000408907,0.00005333901],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00037101482,0.00030974302,0.0006509525,0.00064425013,0.000048464673,0.00023531282,0.00023890863,0.00034556046,0.0010965887],"category_scores_gemma":[0.000023216575,0.00039527327,0.00009937238,0.000045220007,0.000020045936,0.0002991291,0.000032403663,0.00026243203,0.00047884445],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014132023,0.0007312018,0.24825151,0.0015920699,0.0008073663,0.000041562053,0.021215081,0.0044073225,0.000051838888,0.44341105,0.019648764,0.25842902],"study_design_scores_gemma":[0.0069777286,0.0004246474,0.11584504,0.0009611531,0.000053055443,0.000010644071,0.00401636,0.43555078,0.00047875493,0.17853802,0.25152355,0.0056202537],"about_ca_topic_score_codex":0.0006765239,"about_ca_topic_score_gemma":0.0018503865,"teacher_disagreement_score":0.498499,"about_ca_system_score_codex":0.00030929456,"about_ca_system_score_gemma":0.00002982402,"threshold_uncertainty_score":0.9998499},"labels":[],"label_agreement":null},{"id":"W4253746874","doi":"10.32920/ryerson.14654199","title":"Evaluating The Conversion Of Employment Areas","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Thriving; Guideline; Threatened species; Space (punctuation); Business; Political science; Economic growth; Environmental planning; Public relations; Economics; Sociology; Geography; Law; Social science; Computer science","score_opus":0.11969929843464674,"score_gpt":0.29606094734420424,"score_spread":0.1763616489095575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253746874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8346624,0.00087085285,0.0013115285,0.000587613,0.0015088929,0.0002577326,0.00003625888,0.000027012302,0.16073772],"genre_scores_gemma":[0.99520636,0.0008175436,0.0019295941,0.00021155598,0.00011693796,0.000021067319,0.00005655737,0.000028603394,0.0016117687],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984881,0.000031281026,0.00079326995,0.0004549451,0.000037254045,0.00019509542],"domain_scores_gemma":[0.99838257,0.000104611005,0.000688904,0.000728637,0.00005312017,0.000042146443],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013910797,0.00017668013,0.0005360793,0.00009772603,0.00007673689,0.000115493436,0.0003751495,0.00018851842,0.0022549487],"category_scores_gemma":[0.00013545241,0.00016558071,0.00026457623,0.00007007157,0.000060160757,0.000057893907,0.0007416651,0.000289101,0.00012275366],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035706421,0.0013224275,0.621641,0.0035089843,0.0027983559,0.000024051322,0.013890961,0.060310353,0.00028668548,0.21253285,0.016249346,0.067077965],"study_design_scores_gemma":[0.004457185,0.0008111147,0.09681655,0.0011807892,0.0003417879,0.000024384552,0.004870501,0.6479034,0.005802596,0.16588344,0.06738788,0.0045203795],"about_ca_topic_score_codex":0.00085470546,"about_ca_topic_score_gemma":0.000033079712,"teacher_disagreement_score":0.5875931,"about_ca_system_score_codex":0.00013859932,"about_ca_system_score_gemma":0.00008729471,"threshold_uncertainty_score":0.9986571},"labels":[],"label_agreement":null},{"id":"W4253926993","doi":"10.24124/2011/bpgub1493","title":"An integrated approach to capital budgeting: the City of Prince George","year":2011,"lang":"en","type":"dissertation","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Leverage (statistics); Likert scale; Service (business); Business; Computer science; Marketing","score_opus":0.03160958579793757,"score_gpt":0.22100226871560805,"score_spread":0.18939268291767047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253926993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5109048,0.000056034027,0.0007785469,0.00001240735,0.0004627277,0.00024900096,0.000058852682,0.000031668438,0.48744595],"genre_scores_gemma":[0.9728247,0.00010271901,0.0028552206,0.00008973951,0.00010588337,0.000044341476,0.00065149483,0.00006651021,0.023259388],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99829185,0.000019219922,0.00082088815,0.0005451518,0.000028135953,0.00029477422],"domain_scores_gemma":[0.99855626,0.000028850363,0.00059226237,0.00064171304,0.000072379145,0.000108553584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078961573,0.00027304457,0.0005963479,0.00024338432,0.000099950856,0.00008105917,0.00067830936,0.00029576092,0.00060427625],"category_scores_gemma":[0.000094974814,0.00024211209,0.00015760353,0.00020044493,0.00003971337,0.00015244317,0.000037422284,0.0002930865,0.00023403256],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000652056,0.0018384486,0.13669752,0.00063470326,0.00052696187,0.0000019838205,0.03783609,0.00019633734,0.00008536504,0.79370314,0.0032689697,0.024558434],"study_design_scores_gemma":[0.002353339,0.0011210673,0.55328,0.00028603742,0.00020853612,0.000014542731,0.03312456,0.010831284,0.004657029,0.079078496,0.30821857,0.0068265623],"about_ca_topic_score_codex":0.0031335158,"about_ca_topic_score_gemma":0.001127485,"teacher_disagreement_score":0.71462464,"about_ca_system_score_codex":0.00007054747,"about_ca_system_score_gemma":0.00005952899,"threshold_uncertainty_score":0.98730445},"labels":[],"label_agreement":null},{"id":"W4254380633","doi":"10.53383/100214","title":"International Real Estate Review","year":2016,"lang":"en","type":"article","venue":"International Real Estate Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Universidade de Macau","keywords":"Real estate; Real estate investment trust; Price discovery; Database transaction; Business; Capitalization rate; Financial economics; Corporate Real Estate; Investment (military); Cost approach; Transaction cost; Economics; Finance; Monetary economics; Computer science; Database; Futures contract","score_opus":0.03841296491873396,"score_gpt":0.28153815270445093,"score_spread":0.24312518778571696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254380633","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010790366,0.0008927602,0.00027477831,0.012271505,0.0018284019,0.00034688826,0.00034690628,0.00008212306,0.9828776],"genre_scores_gemma":[0.002241308,0.99520487,0.0005180162,0.00072552456,0.00033232916,0.000072110975,0.00013188449,0.000048629794,0.0007253168],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.997528,0.000038784812,0.0013640509,0.00059271866,0.00012344054,0.00035297536],"domain_scores_gemma":[0.99831873,0.00015452628,0.0007755697,0.0004384042,0.00015090039,0.0001618389],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012854633,0.00027389554,0.0006920675,0.00016989482,0.000056572404,0.00007738281,0.00079196267,0.00007036429,0.0041886303],"category_scores_gemma":[0.0005104962,0.00023791961,0.00032236823,0.00014760307,0.00008001582,0.0005813795,0.00017378498,0.00013753658,0.0039313463],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001338245,0.00004468733,0.0020307514,0.000716922,0.00009900452,0.000017961383,0.000023966706,0.0000011153652,0.0000058651626,0.0012815188,0.008748993,0.98701584],"study_design_scores_gemma":[0.000347673,0.000023497005,0.0011700992,0.0041241357,0.000019897272,0.000032973494,0.0000026328426,0.000111793386,0.000004359287,0.00024668724,0.9936005,0.00031573407],"about_ca_topic_score_codex":0.00062350347,"about_ca_topic_score_gemma":0.000070006645,"teacher_disagreement_score":0.9943121,"about_ca_system_score_codex":0.00045904296,"about_ca_system_score_gemma":0.00005914088,"threshold_uncertainty_score":0.99684423},"labels":[],"label_agreement":null},{"id":"W4254394986","doi":"10.24124/2009/bpgub1439","title":"Prince George, BC real estate: a panel analysis","year":2009,"lang":"en","type":"dissertation","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Real estate; Valuation (finance); Hedonic regression; Hedonic pricing; Hedonic index; George (robot); Panel data; Econometrics; Regression analysis; Economics; Value (mathematics); Actuarial science; Cost approach; Price index; Real estate development; Computer science; Finance; Statistics; Mathematics; Artificial intelligence","score_opus":0.025766822199393788,"score_gpt":0.23317151380119844,"score_spread":0.20740469160180464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254394986","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24171089,0.00006163417,0.00018763903,0.000057017907,0.0004994349,0.00014897579,0.00006672032,0.0001005144,0.75716716],"genre_scores_gemma":[0.3611205,0.04824007,0.004803473,0.00032746533,0.00066196505,0.00008091259,0.009265656,0.00025338537,0.5752466],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99752575,0.000012258773,0.0011098062,0.00083834113,0.000038569542,0.00047524556],"domain_scores_gemma":[0.9983361,0.000042073483,0.000800927,0.0006339786,0.00004410169,0.00014282734],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004943536,0.00038558076,0.0011407668,0.00095423975,0.00012898799,0.00018012428,0.00035154974,0.00046431177,0.0019917246],"category_scores_gemma":[0.000047553076,0.00048088838,0.00054519204,0.0006679786,0.000020618729,0.00020074271,0.000023363724,0.0003013319,0.0016296079],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006617225,0.0010405048,0.25511536,0.0006117771,0.007171114,0.000098488505,0.00633013,0.002265911,0.000016235963,0.21292892,0.014919412,0.49884042],"study_design_scores_gemma":[0.0010354131,0.00014934344,0.5675504,0.000046781206,0.0009188642,0.0000031487134,0.0010072292,0.012668239,0.00007244542,0.018884439,0.39454246,0.003121244],"about_ca_topic_score_codex":0.0085470835,"about_ca_topic_score_gemma":0.018081965,"teacher_disagreement_score":0.49571916,"about_ca_system_score_codex":0.00020722723,"about_ca_system_score_gemma":0.00006355937,"threshold_uncertainty_score":0.9998355},"labels":[],"label_agreement":null},{"id":"W4254607180","doi":"10.1002/div.5822","title":"First Capital Realty Inc.","year":2007,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Real estate; Business; Equity (law); Portfolio; Finance; Capital (architecture); Agricultural economics; Geography; Economics; Political science","score_opus":0.02551184524050071,"score_gpt":0.2160785679924556,"score_spread":0.19056672275195488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254607180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84707904,0.00040923408,0.0039015322,0.0011483545,0.0025346517,0.0001756237,0.00007991759,0.000111206595,0.14456047],"genre_scores_gemma":[0.99698365,0.0006146764,0.00054583634,0.00029937792,0.0003034675,0.000005818734,0.00003765345,0.000040517436,0.0011690228],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99824715,0.000007708057,0.0006861123,0.00044723044,0.000044434677,0.0005673651],"domain_scores_gemma":[0.99906224,0.00006548394,0.00026714036,0.00037787855,0.000012236469,0.00021501484],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012493483,0.00020272813,0.00033877126,0.00024149234,0.00024547052,0.00006740987,0.00030689465,0.0001263415,0.0018394685],"category_scores_gemma":[0.00008624656,0.00025127936,0.00015367086,0.00017699279,0.00006681487,0.00031189853,0.000114487295,0.00018131516,0.0029700126],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015330606,0.00034795864,0.78057784,0.00009614572,0.00024025817,0.000050827584,0.002312822,0.0005732776,0.000034899975,0.17508547,0.033665456,0.0068617486],"study_design_scores_gemma":[0.0010687164,0.00010166794,0.2349382,0.000021430853,0.000019104436,0.000008790702,0.00031882492,0.0008921962,0.00020756593,0.028975718,0.73251355,0.00093426555],"about_ca_topic_score_codex":0.0007906114,"about_ca_topic_score_gemma":0.0011227854,"teacher_disagreement_score":0.69884807,"about_ca_system_score_codex":0.00021261106,"about_ca_system_score_gemma":0.000014264524,"threshold_uncertainty_score":0.9999939},"labels":[],"label_agreement":null},{"id":"W4255204811","doi":"10.32920/ryerson.14651523.v1","title":"The impact of inclusionary zoning on Toronto's neighbourhoods","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Zoning; Affordable housing; Real estate; Business; Christian ministry; Low income; Finance; Economic growth; Economics; Political science; Demographic economics; Law","score_opus":0.025876185388743186,"score_gpt":0.2613045806798619,"score_spread":0.2354283952911187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255204811","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3944766,0.0023553018,0.00033617055,0.00018758533,0.0011437739,0.00015373186,0.000062730316,0.000030083802,0.60125405],"genre_scores_gemma":[0.9932372,0.004691799,0.0005007618,0.00006815228,0.00023981504,0.000014846206,0.000050807215,0.000046850302,0.0011497821],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9981842,0.000028843026,0.0008942588,0.0005192334,0.000033747503,0.0003397423],"domain_scores_gemma":[0.99799937,0.00022377846,0.0007038923,0.00094345235,0.000041842504,0.00008767288],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00089704833,0.00028744029,0.00069471885,0.00007337376,0.00022692258,0.00022023331,0.00055659516,0.0003089675,0.002866799],"category_scores_gemma":[0.00015480623,0.00023927746,0.0006421231,0.00005895193,0.000062121704,0.00012737483,0.0012403411,0.0003991093,0.00006614018],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007175771,0.0016787832,0.23543923,0.00047857797,0.0037405158,0.000047492817,0.0069162296,0.07971457,0.000066594046,0.48531887,0.024556868,0.16132471],"study_design_scores_gemma":[0.0024949326,0.0011594954,0.50425464,0.0008364454,0.00007221705,0.000025468713,0.002261058,0.1962013,0.0002684847,0.2629834,0.02529042,0.004152158],"about_ca_topic_score_codex":0.011074797,"about_ca_topic_score_gemma":0.0008251962,"teacher_disagreement_score":0.6001043,"about_ca_system_score_codex":0.00076062256,"about_ca_system_score_gemma":0.00017170468,"threshold_uncertainty_score":0.9980447},"labels":[],"label_agreement":null},{"id":"W4255501709","doi":"10.2139/ssrn.2651032","title":"Reverse Mortgages: What Homeowners (Don't) Know and How it Matters","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Business; Actuarial science","score_opus":0.02328699102507666,"score_gpt":0.20959047873029088,"score_spread":0.1863034877052142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255501709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7932817,0.038095854,0.0072779744,0.12972568,0.0038986793,0.00039650904,0.000020368334,0.00012169975,0.027181571],"genre_scores_gemma":[0.87727505,0.11193229,0.00026864742,0.0020640823,0.00048228464,0.0000051823895,0.000006610571,0.0000653396,0.007900495],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976315,0.000030250083,0.0003558699,0.00033093747,0.000045780285,0.0016056888],"domain_scores_gemma":[0.9991075,0.000034670196,0.00034981465,0.00023044036,0.000035381574,0.00024218859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00295118,0.00020376599,0.00038525238,0.00026484742,0.0001593788,0.00061095774,0.00025540908,0.0001168068,0.00007224013],"category_scores_gemma":[0.00010367083,0.00022400908,0.000112919355,0.00013813839,0.00007936963,0.0013698093,0.000061720675,0.00097124564,0.00023240958],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048311142,0.00033709797,0.1125875,0.00011002558,0.0016002953,0.000083285144,0.0070815617,0.0005700082,0.000053812757,0.4281344,0.207414,0.2415449],"study_design_scores_gemma":[0.0022086552,0.0003201135,0.00046170884,0.000056157645,0.000030958458,0.0006248314,0.021672165,0.0011543406,0.000008724641,0.31268215,0.6600401,0.0007401266],"about_ca_topic_score_codex":0.00008618241,"about_ca_topic_score_gemma":0.00040989817,"teacher_disagreement_score":0.45262608,"about_ca_system_score_codex":0.0011717599,"about_ca_system_score_gemma":0.0004161423,"threshold_uncertainty_score":0.91348255},"labels":[],"label_agreement":null},{"id":"W4255572647","doi":"10.3386/w15988","title":"The Macroeconomic Effects of Housing Wealth, Housing Finance, and Limited Risk-Sharing in General Equilibrium","year":2010,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":223,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; HEC Montréal","funders":"National Science Foundation","keywords":"Economics; General equilibrium theory; Monetary economics; Microeconomics","score_opus":0.15161334608226337,"score_gpt":0.4055003416869892,"score_spread":0.25388699560472583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255572647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.777899,0.004549487,0.0000071938375,0.00021736801,0.0017853782,0.00078935147,0.00016735356,0.000017149749,0.2145677],"genre_scores_gemma":[0.9651935,0.031954113,0.0004907981,0.000013827179,0.00086934544,0.00007946875,0.00008869482,0.000129991,0.0011802746],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99518657,0.000118518954,0.0024605428,0.0010981929,0.00022665171,0.0009095209],"domain_scores_gemma":[0.9942199,0.0022627225,0.0022580638,0.00075505103,0.00037972108,0.00012455886],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.011743532,0.00040660123,0.0013869343,0.0017625674,0.00032227498,0.00025075706,0.00092788506,0.0007776345,0.00005673034],"category_scores_gemma":[0.0020088567,0.000455994,0.0002785654,0.0003042353,0.00068843184,0.00036611944,0.0006203932,0.0018159596,0.000060806193],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062417897,0.00041655265,0.42589357,0.0032242143,0.00088932307,0.000023458428,0.0007610998,0.009244489,0.0004568803,0.5068222,0.008418105,0.043225914],"study_design_scores_gemma":[0.0034282675,0.0003183169,0.044993613,0.0007881943,0.000043894917,0.000029418663,0.000071117145,0.070774436,0.00091053464,0.8219367,0.055190057,0.0015154014],"about_ca_topic_score_codex":0.007715984,"about_ca_topic_score_gemma":0.0028820587,"teacher_disagreement_score":0.38089997,"about_ca_system_score_codex":0.0018634783,"about_ca_system_score_gemma":0.0014596944,"threshold_uncertainty_score":0.9997892},"labels":[],"label_agreement":null},{"id":"W4255756117","doi":"10.2139/ssrn.1742153","title":"Risk-Relevance of Off-Balance Sheet Mortgage Securitizations During the Financial Crisis: Evidence that Equity Investors of Sponsor-Originators Saw the Crisis Coming","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Amorfix (Canada); University of Toronto","funders":"","keywords":"Financial crisis; Balance sheet; Equity (law); Business; Financial system; Relevance (law); Secondary mortgage market; Synthetic CDO; Balance (ability); Private equity fund; Finance; Mortgage insurance; Economics; Private equity; Political science; Insurance policy","score_opus":0.018244104367527644,"score_gpt":0.24190848381315927,"score_spread":0.2236643794456316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255756117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98898095,0.00638336,0.0014904945,0.0013889225,0.0008099403,0.00019300966,0.00004469144,0.000019179251,0.0006894637],"genre_scores_gemma":[0.9710752,0.028382558,0.00008770439,0.00010461884,0.00023029993,0.000010811099,0.0000012929803,0.00003512359,0.000072421906],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99723405,0.00010779429,0.00094130187,0.00033199386,0.00011632669,0.0012685308],"domain_scores_gemma":[0.9969718,0.0003864789,0.0018651276,0.0006009439,0.00009459909,0.0000810566],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0047929827,0.00023450302,0.000502475,0.00019990957,0.0006869648,0.00009730881,0.0010114275,0.00014670947,0.00020012342],"category_scores_gemma":[0.0014612827,0.00019400904,0.00028147432,0.000390624,0.00025313222,0.00055192213,0.00015745731,0.0023215842,0.000012032315],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002195887,0.00016402463,0.40585524,0.00010664669,0.0002980941,0.0000031087338,0.003712676,0.0017307609,0.00024018573,0.582707,0.00064128416,0.0043213856],"study_design_scores_gemma":[0.0017930777,0.00031181684,0.1329038,0.0001900678,0.00019316855,0.00024451886,0.0074578193,0.0053562997,0.0017134479,0.83829075,0.010407221,0.0011380323],"about_ca_topic_score_codex":0.0005109205,"about_ca_topic_score_gemma":0.0026158295,"teacher_disagreement_score":0.27295145,"about_ca_system_score_codex":0.00042620278,"about_ca_system_score_gemma":0.00061678933,"threshold_uncertainty_score":0.9999801},"labels":[],"label_agreement":null},{"id":"W4256065847","doi":"10.32920/ryerson.14649786","title":"Where can Millennials afford to live within the city of Toronto","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Affordable housing; Renting; Government (linguistics); Rental housing; Business; Public economics; Economic growth; Economics; Political science","score_opus":0.03699021983654227,"score_gpt":0.228295643225617,"score_spread":0.19130542338907472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256065847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7217256,0.0041679274,0.00052886124,0.0017219848,0.002277191,0.00051479647,0.00029015608,0.000040325114,0.2687332],"genre_scores_gemma":[0.9871872,0.004370698,0.0037421698,0.0005753243,0.00027842866,0.00005727753,0.000034889996,0.000052139643,0.0037018836],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99784774,0.000030464751,0.0011058555,0.0006794192,0.00003627596,0.00030027743],"domain_scores_gemma":[0.997893,0.00008720427,0.0007216824,0.001095808,0.000073439696,0.00012887717],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010860293,0.00029793094,0.0009508207,0.000055324555,0.00009033502,0.00019337733,0.0006834829,0.00032972617,0.0048625125],"category_scores_gemma":[0.00016063124,0.00028371034,0.00031512088,0.000056426627,0.000059479036,0.000091087066,0.00094135257,0.00028557156,0.000099092846],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063510315,0.0013596162,0.37533677,0.0037208549,0.004172382,0.000045182434,0.1588173,0.01592268,0.00014282523,0.3376011,0.07519932,0.027046872],"study_design_scores_gemma":[0.005014619,0.0014728281,0.1452459,0.0032795845,0.00052231137,0.00004745333,0.07980136,0.024557,0.0046011307,0.18379955,0.53727216,0.014386146],"about_ca_topic_score_codex":0.07086028,"about_ca_topic_score_gemma":0.1866514,"teacher_disagreement_score":0.4620728,"about_ca_system_score_codex":0.00041286493,"about_ca_system_score_gemma":0.00015103859,"threshold_uncertainty_score":0.9999615},"labels":[],"label_agreement":null},{"id":"W4256205954","doi":"10.1108/ijhma-08-2016-0063","title":"Editorial","year":2016,"lang":"en","type":"editorial","venue":"International Journal of Housing Markets and Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Residential property; Portfolio; Business; Diversification (marketing strategy); Property management; Expansive; Regional science; Geography; Marketing; Finance","score_opus":0.008486419688362792,"score_gpt":0.23760329382231282,"score_spread":0.22911687413395004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256205954","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00058924186,0.0010955619,0.002429189,0.00041356107,0.9841407,0.000029759165,0.00034200633,0.00001175244,0.010948237],"genre_scores_gemma":[0.0058958386,0.011799397,0.00038466838,0.000024543755,0.98107624,9.938356e-7,0.000041037394,0.000044641798,0.00073263363],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99760646,0.000038068894,0.0014449331,0.00037126467,0.00029503886,0.00024426536],"domain_scores_gemma":[0.9960812,0.00052533316,0.0024229009,0.00021731172,0.0006160038,0.00013729738],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001969031,0.00027674268,0.0011029124,0.0021522883,0.00007752447,0.0004712276,0.0006663107,0.0005171957,0.00043629983],"category_scores_gemma":[0.0009788665,0.00025223705,0.0007322325,0.00026691865,0.000093023205,0.00038733,0.0001487044,0.00049272797,0.00003462127],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001906599,0.00004174215,0.0030829653,0.000013440114,0.0040735477,0.00002484439,0.000043592187,0.000014162533,0.0000019388604,0.0003170387,0.9854183,0.006777725],"study_design_scores_gemma":[0.0007146143,0.000035800444,0.00014641197,0.00009804201,0.0003997244,0.0000037098694,0.000008042864,0.00017688298,0.0000011128412,0.0038458395,0.9942754,0.0002944378],"about_ca_topic_score_codex":0.000077074874,"about_ca_topic_score_gemma":0.000029681423,"teacher_disagreement_score":0.010703836,"about_ca_system_score_codex":0.00029292537,"about_ca_system_score_gemma":0.00012780768,"threshold_uncertainty_score":0.99999297},"labels":[],"label_agreement":null},{"id":"W4256472953","doi":"10.1257/jel.53.4.1017.r2","title":"Book Reviews","year":2015,"lang":"en","type":"article","venue":"Journal of Economic Literature","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Comparative statics; Matching (statistics); Structural estimation; Economics; Identification (biology); Mathematical economics; EconLit; Econometrics; Discrete choice; Mathematics; Microeconomics; Statistics","score_opus":0.04111645525571505,"score_gpt":0.2391740361514162,"score_spread":0.19805758089570114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256472953","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04870111,0.44642794,0.0007202446,0.0044891303,0.010896782,0.00034647796,0.00009855462,0.000035672303,0.4882841],"genre_scores_gemma":[0.6978624,0.14709961,0.021511346,0.033063564,0.023052197,0.000033147076,0.000092959504,0.00041322326,0.07687157],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981592,0.000025879623,0.0013748409,0.00019561898,0.000017367154,0.00022708178],"domain_scores_gemma":[0.99803936,0.000029482664,0.0013443631,0.00028304063,0.000049535152,0.00025423372],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001753066,0.00016972909,0.0007370269,0.0002885806,0.000034876564,0.00023856708,0.00033837717,0.00014593656,0.00063296343],"category_scores_gemma":[0.00015616992,0.00016748141,0.0003030665,0.00008088437,0.0000313499,0.0010887742,0.000040076397,0.00031728033,0.0013028646],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008321479,0.000048165508,0.005419293,0.000033326745,0.000069747846,0.0000354272,0.0014219054,0.00018781301,0.0000026893958,0.03000129,0.96090966,0.0017874811],"study_design_scores_gemma":[0.00070873665,0.00009605346,0.00012813677,0.00006349641,0.000006570453,0.0001974354,0.000024665755,0.0002659051,0.0000095857185,0.022762893,0.9755511,0.00018540763],"about_ca_topic_score_codex":0.000004155529,"about_ca_topic_score_gemma":0.0000021822912,"teacher_disagreement_score":0.6491613,"about_ca_system_score_codex":0.00033932342,"about_ca_system_score_gemma":0.000079653764,"threshold_uncertainty_score":0.99947476},"labels":[],"label_agreement":null},{"id":"W4280613744","doi":"10.1093/rof/rfac034","title":"A Quarter Century of Mortgage Risk","year":2022,"lang":"en","type":"article","venue":"European Finance Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Download; Loan; Mortgage underwriting; Mortgage loan; Business; Credit risk; Financial crisis; Actuarial science; Financial system; Economics; Mortgage insurance; Finance; History; Computer science","score_opus":0.021044071519607403,"score_gpt":0.19819473481301822,"score_spread":0.1771506632934108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280613744","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049486622,0.22943492,0.0002744076,0.00041430618,0.00077804783,0.0004302488,0.0003593582,0.00005634799,0.71876574],"genre_scores_gemma":[0.48818877,0.51006114,0.00038716462,0.0006686316,0.00007104838,0.000022210668,0.000020968952,0.00004852066,0.00053153606],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983934,0.00015332745,0.00083968294,0.0003466285,0.00003156089,0.00023537093],"domain_scores_gemma":[0.99854785,0.000026956042,0.0008357323,0.00054254365,0.000011660229,0.000035271867],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002067632,0.0001376061,0.00053882436,0.00008223951,0.00015628761,0.000013581711,0.0003791804,0.000011861559,0.0014746176],"category_scores_gemma":[0.000085910906,0.00016791356,0.00022579727,0.00025689363,0.000035373218,0.000097283744,0.00018571687,0.00024159698,0.0010053428],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006994952,0.0008353307,0.08795264,0.00471534,0.0002150013,0.00014206472,0.0017604089,0.00066871004,0.000014812689,0.11316577,0.19851148,0.5919485],"study_design_scores_gemma":[0.00019269087,0.00006141577,0.009314568,0.00016367312,0.000011718421,0.0000075609787,0.0000148079835,0.000120240766,0.0000011128375,0.0005606596,0.9893507,0.00020087509],"about_ca_topic_score_codex":0.00002328561,"about_ca_topic_score_gemma":0.000001092782,"teacher_disagreement_score":0.7908392,"about_ca_system_score_codex":0.000064779335,"about_ca_system_score_gemma":0.000013564362,"threshold_uncertainty_score":0.9997725},"labels":[],"label_agreement":null},{"id":"W4281381629","doi":"10.32920/19750363","title":"Land-use regulation and housing affordability: characterizing the impacts of restrictive zoning on Toronto's housing market through a case study of Ward 8 neighbourhoods","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Zoning; Affordable housing; Subdivision; Business; Unit (ring theory); Neighbourhood (mathematics); Leasehold estate; Land use; Housing tenure; Economics; Public economics; Economic growth; Geography; Labour economics; Law; Political science","score_opus":0.051637758511867665,"score_gpt":0.2647366759761221,"score_spread":0.21309891746425444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281381629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9806524,0.00023830065,0.00027901962,0.000088902125,0.00062194944,0.0010881311,0.00016520111,0.000048773614,0.016817337],"genre_scores_gemma":[0.99809587,0.00070121686,0.0008398434,0.00006316538,0.00012034928,0.00003821692,0.0000218991,0.000077099015,0.00004236483],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970902,0.00019531215,0.0014215736,0.00082645024,0.0000922918,0.00037414813],"domain_scores_gemma":[0.9963426,0.0005842147,0.0019203289,0.001023258,0.00005983994,0.000069759],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019921646,0.00040770907,0.0011163597,0.00020668391,0.00037295828,0.00023955709,0.00027491187,0.00022205444,0.00040875588],"category_scores_gemma":[0.00030384256,0.0003960702,0.00019829952,0.00017981917,0.00009712553,0.000588842,0.00092352036,0.00053493935,7.625516e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00093672756,0.0010334724,0.94950974,0.00052574166,0.00064889266,0.00009274316,0.032898817,0.005045513,0.0000257351,0.0029428694,0.00007810968,0.0062616165],"study_design_scores_gemma":[0.003990583,0.0020990367,0.88884956,0.00055077823,0.00035739265,0.00015673395,0.041375626,0.04795529,0.00015674488,0.011321333,0.0011061191,0.002080808],"about_ca_topic_score_codex":0.061240844,"about_ca_topic_score_gemma":0.006071772,"teacher_disagreement_score":0.060660206,"about_ca_system_score_codex":0.00066601485,"about_ca_system_score_gemma":0.00008140094,"threshold_uncertainty_score":0.99984914},"labels":[],"label_agreement":null},{"id":"W4281481760","doi":"10.4324/9780429299377-15","title":"The sustainability of low-income homeownership: The incidence of unexpected costs and needed repairs among low-income homebuyers","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Low income; Quarter (Canadian coin); Debt; Business; Household debt; Demographic economics; Sustainability; Labour economics; Economics; Finance; Geography","score_opus":0.010726480629577385,"score_gpt":0.1958642673542691,"score_spread":0.18513778672469172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281481760","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4960029,0.0017734349,0.00004976187,0.00085487246,0.0007948376,0.001294178,0.00022780124,0.000094943665,0.49890727],"genre_scores_gemma":[0.9515199,0.002775209,0.000037463473,0.000060444017,0.000074210395,0.00004460316,0.000024581925,0.00009859661,0.045365],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9964689,0.00006678836,0.0019811776,0.0008169722,0.00013596751,0.00053017656],"domain_scores_gemma":[0.99477947,0.0011933569,0.0020790861,0.00160422,0.00020085,0.00014302437],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0028118836,0.00051075075,0.0013303073,0.00042772823,0.00045940885,0.00012478867,0.0010415469,0.00036875808,0.0010335766],"category_scores_gemma":[0.00066469563,0.00040939482,0.00047565665,0.00022991655,0.0013961483,0.00027828643,0.000744733,0.00072670705,0.000017519715],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041503698,0.00008002516,0.117111474,0.0008632209,0.0005792787,0.00001696992,0.0018056245,0.00028858116,0.0000022678967,0.87517834,0.0006029382,0.0030562421],"study_design_scores_gemma":[0.004585972,0.0012714374,0.20223026,0.0009596266,0.00033522185,0.00004694661,0.016405296,0.01034039,0.00013279857,0.6499358,0.10843814,0.0053181397],"about_ca_topic_score_codex":0.0024875747,"about_ca_topic_score_gemma":0.001222636,"teacher_disagreement_score":0.455517,"about_ca_system_score_codex":0.0010021393,"about_ca_system_score_gemma":0.00019654307,"threshold_uncertainty_score":0.9998796},"labels":[],"label_agreement":null},{"id":"W4281484059","doi":"10.3390/jrfm15060234","title":"Exploring a Three-Factor Dependence Structure of Conditional Volatilities: Some Quantile Regression Evidence from Real Estate Investment Trusts","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate investment trust; Quantile regression; Financial economics; Quantile; Stock market; Stock market index; Real estate; Stock (firearms); Economics; Emerging markets; Index (typography); Econometrics; Capital asset pricing model; Business; Finance; Geography","score_opus":0.058044583568507724,"score_gpt":0.22899582670182433,"score_spread":0.1709512431333166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281484059","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99552774,0.0007542218,0.0016882854,0.000040558392,0.0008480512,0.00013157292,0.00056744565,0.0000063754896,0.00043572913],"genre_scores_gemma":[0.9766994,0.021479249,0.0015645288,0.00003986243,0.00016813364,0.000008059675,0.0000089294235,0.000013631769,0.000018206036],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985674,0.00003626571,0.0008404766,0.00024457197,0.00012142054,0.00018983555],"domain_scores_gemma":[0.998444,0.00012974958,0.0011372003,0.00017849382,0.00003082745,0.00007970482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004599701,0.00014962372,0.0004455432,0.00029737392,0.00022471084,0.00004327737,0.00023774279,0.000036807352,0.00027227637],"category_scores_gemma":[0.000094601775,0.00015499178,0.00012198519,0.00012475172,0.00005636483,0.00072242034,0.00021078525,0.00027840614,0.000002684799],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017996725,0.00034818085,0.6549857,0.00033338967,0.00027311582,0.00018612662,0.015036541,0.0066394047,0.00020563792,0.08309907,0.0008640629,0.23622909],"study_design_scores_gemma":[0.0013407813,0.00043151664,0.8019555,0.00019683257,0.00005823899,0.000011475183,0.0013863138,0.0026875488,0.000110352135,0.17725693,0.0142053375,0.00035914077],"about_ca_topic_score_codex":0.0007621314,"about_ca_topic_score_gemma":0.0001235553,"teacher_disagreement_score":0.23586994,"about_ca_system_score_codex":0.00017328195,"about_ca_system_score_gemma":0.000039013357,"threshold_uncertainty_score":0.6320382},"labels":[],"label_agreement":null},{"id":"W4281635136","doi":"10.1016/j.jeca.2022.e00257","title":"Modelling the asymmetric effect of COVID-19 on REIT returns: A quantile-on-quantile regression analysis","year":2022,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":79,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Research University Higher School of Economics","keywords":"Real estate investment trust; Quantile; Quantile regression; Economics; Coronavirus disease 2019 (COVID-19); Econometrics; Explanatory power; Predictive power; Real estate; Financial economics; Finance; Medicine","score_opus":0.0408979111042539,"score_gpt":0.26951757441833996,"score_spread":0.22861966331408606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281635136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9721858,0.0024218827,0.0035221197,0.0023644394,0.0013215353,0.00036110514,0.00019413362,0.000020305852,0.017608661],"genre_scores_gemma":[0.99729246,0.0016911853,0.00009658258,0.0003696487,0.00020965221,0.00001115802,0.000008844512,0.000044706936,0.00027576642],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967886,0.00046117394,0.0018754812,0.00034666515,0.00013864084,0.00038941033],"domain_scores_gemma":[0.99117076,0.004204397,0.0035693878,0.00086019386,0.000037588277,0.00015769401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010864546,0.00032060198,0.0013474354,0.0023220875,0.0007680056,0.000110761364,0.0012645365,0.00009765976,0.00048245414],"category_scores_gemma":[0.00097087794,0.0002203565,0.00084194506,0.0015134438,0.00019939437,0.00024338748,0.0002286012,0.0007728311,0.00007993133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018532964,0.00008408773,0.009763236,0.000036176967,0.0010708127,0.000005496378,0.0011625405,0.9524968,0.000001991005,0.027848015,0.0046102456,0.0010672712],"study_design_scores_gemma":[0.0048309593,0.006371705,0.0009974047,0.000082635925,0.0014563474,0.00014433396,0.0041812393,0.85406166,0.0013779328,0.039642878,0.08566622,0.001186677],"about_ca_topic_score_codex":0.000498573,"about_ca_topic_score_gemma":0.00002123857,"teacher_disagreement_score":0.09843516,"about_ca_system_score_codex":0.00076682924,"about_ca_system_score_gemma":0.00015128912,"threshold_uncertainty_score":0.8985877},"labels":[],"label_agreement":null},{"id":"W4281788997","doi":"10.3390/jrfm15060266","title":"Economic Stimulus and Financial Instability: Recent Case of the U.S. Household","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial crisis; Stimulus (psychology); Recession; Economics; Real estate; Quantitative easing; Unemployment; Financial market; Monetary economics; Financial system; Business; Finance; Monetary policy; Macroeconomics","score_opus":0.016244905433549485,"score_gpt":0.19235293735331016,"score_spread":0.17610803191976068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281788997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99326164,0.0013676014,0.00057169714,0.00021155736,0.0013240434,0.00018677245,0.00019784756,0.0000046360806,0.002874194],"genre_scores_gemma":[0.99153364,0.007796771,0.0003355296,0.00014026988,0.00012875041,0.0000061647033,6.64363e-7,0.000014273076,0.000043928045],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.998669,0.00004383795,0.00084136333,0.00021754192,0.000038415306,0.00018981693],"domain_scores_gemma":[0.998744,0.000051071802,0.00089429854,0.00022850223,0.000016270855,0.00006585922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013984398,0.00013100603,0.00042412913,0.00021601364,0.00035367472,0.000041115974,0.00020292206,0.00004506463,0.000082471364],"category_scores_gemma":[0.00010001373,0.00012730455,0.00012997564,0.00014164294,0.00009788854,0.00013788087,0.00039375736,0.00029496627,0.0000017942212],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059096876,0.00039058874,0.23888375,0.00016678048,0.00008382292,0.0003266072,0.002973279,0.0060236114,0.0000015756256,0.12890914,0.0034827408,0.61816716],"study_design_scores_gemma":[0.0025757237,0.0003922849,0.17365818,0.000025310132,0.00009720031,0.0004796863,0.0007479612,0.0008319728,0.000010253444,0.06990454,0.7508951,0.00038181205],"about_ca_topic_score_codex":0.0002026751,"about_ca_topic_score_gemma":0.0001640885,"teacher_disagreement_score":0.7474123,"about_ca_system_score_codex":0.00019258073,"about_ca_system_score_gemma":0.0000487948,"threshold_uncertainty_score":0.51913285},"labels":[],"label_agreement":null},{"id":"W4281849574","doi":"10.1111/caje.12594","title":"House price, credit supply, and government policy in China","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Monetary economics; Capital (architecture); Exchange rate","score_opus":0.055840917841248734,"score_gpt":0.1627808922715344,"score_spread":0.10693997443028566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281849574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97904253,0.0005962743,0.000025065736,0.0039977385,0.0014645822,0.00024412171,0.0006727705,0.000008806922,0.013948134],"genre_scores_gemma":[0.99703944,0.00068484334,0.00030064557,0.000748883,0.00058848265,0.000031009404,0.0000086217005,0.000101868754,0.0004962067],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99706495,0.000047628924,0.0014504207,0.000496562,0.0000029986504,0.0009374399],"domain_scores_gemma":[0.997135,0.00008647264,0.0010490643,0.00040822284,0.00002023289,0.0013010475],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001672871,0.0003036238,0.00088283484,0.0012797981,0.00030853055,0.00018288547,0.0006520281,0.00013003715,0.0009401205],"category_scores_gemma":[0.00023689854,0.0004615351,0.00019527212,0.00025452653,0.00013309617,0.00051236706,0.00010846029,0.00060322153,0.000027643759],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104633196,0.00004246605,0.23801795,0.00003694891,0.00010563142,0.00019962115,0.0028291987,0.012117242,0.000002381346,0.741451,0.0012370251,0.0038558599],"study_design_scores_gemma":[0.002835275,0.0007630733,0.06799408,0.000048645026,0.000019544214,0.0011766655,0.0013544806,0.006532259,0.00001501556,0.5158769,0.40213767,0.0012463715],"about_ca_topic_score_codex":0.19150434,"about_ca_topic_score_gemma":0.837528,"teacher_disagreement_score":0.6460237,"about_ca_system_score_codex":0.0072457315,"about_ca_system_score_gemma":0.0011597234,"threshold_uncertainty_score":0.9999732},"labels":[],"label_agreement":null},{"id":"W4281919925","doi":"10.1111/caje.12599","title":"Housing tax expenditures and financial intermediation","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Economics; Monetary economics; Tax credit; Welfare; Tax revenue; Tax deduction; Revenue; Tax reform; Multiplier (economics); Payment; Macroeconomics; State income tax; Finance; Public economics; Gross income; Market economy","score_opus":0.08128669971792102,"score_gpt":0.16770797881219027,"score_spread":0.08642127909426925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281919925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892109,0.00065958116,0.00013345818,0.0012739438,0.0035587293,0.00017062001,0.00047731318,0.000007723475,0.004507745],"genre_scores_gemma":[0.99745685,0.00021974611,0.00034494264,0.0008668101,0.0007577365,0.000020210597,0.000024178682,0.000060246864,0.00024926182],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977062,0.000041246603,0.0011808837,0.00041133445,0.0000017053434,0.00065865036],"domain_scores_gemma":[0.9974787,0.000087270615,0.001130786,0.00029554154,0.000036175254,0.00097152],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012381206,0.00025092633,0.00070118305,0.0011340887,0.00051165983,0.00020325545,0.00048850395,0.0001278937,0.0010127687],"category_scores_gemma":[0.00022029298,0.00038028826,0.00019836321,0.000097616634,0.00014052677,0.0005401493,0.00007316569,0.0004941745,0.00002399349],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014532493,0.00003214039,0.06801843,0.00004963536,0.00013016614,0.00020087838,0.005049267,0.011129726,0.0000070569445,0.89861965,0.0049225227,0.011695198],"study_design_scores_gemma":[0.0015702697,0.0005866856,0.0060000103,0.00003509469,0.000028651948,0.0007910118,0.0013678949,0.005575918,0.00003208551,0.602766,0.38024566,0.0010007545],"about_ca_topic_score_codex":0.055161625,"about_ca_topic_score_gemma":0.7551916,"teacher_disagreement_score":0.70002997,"about_ca_system_score_codex":0.002302944,"about_ca_system_score_gemma":0.00085181027,"threshold_uncertainty_score":0.99990046},"labels":[],"label_agreement":null},{"id":"W4281996971","doi":"10.1111/1540-6229.12397","title":"Interpretable machine learning for real estate market analysis","year":2022,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"University of Cambridge","keywords":"Real estate; Economic rent; Econometrics; Economics; Sample (material); Computer science; Artificial intelligence; Machine learning; Microeconomics; Finance","score_opus":0.017300088589315237,"score_gpt":0.21241654232024515,"score_spread":0.19511645373092992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281996971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5091552,0.00002347408,0.0013544362,0.00018895042,0.0006424055,0.00032318535,0.0010565396,0.00011807883,0.48713773],"genre_scores_gemma":[0.9327377,0.0528726,0.002458465,0.00014745074,0.00018431344,0.0002813363,0.0010742578,0.00017927916,0.010064581],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997016,0.000061223654,0.0012296821,0.00090438407,0.000027793609,0.0007609014],"domain_scores_gemma":[0.998081,0.00027080395,0.00086872204,0.00054979045,0.00002679317,0.00020285437],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019836577,0.00034785265,0.0010270515,0.00073269784,0.00063854153,0.00022973782,0.0005182553,0.00009640988,0.0025621608],"category_scores_gemma":[0.000066370645,0.0004980173,0.0005704714,0.00041837743,0.00006805064,0.00039192292,0.00034520729,0.0003981005,0.00009927523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013120555,0.0003639162,0.28059143,0.00012100364,0.002788354,0.000020747178,0.004440928,0.50843745,0.000009581676,0.015641356,0.0035434465,0.18272972],"study_design_scores_gemma":[0.00078388606,0.00017238014,0.002716942,0.0000016155387,0.00010968589,0.000006431361,0.00035178018,0.64993274,0.00000496977,0.0029178597,0.34245363,0.00054810377],"about_ca_topic_score_codex":0.0066475696,"about_ca_topic_score_gemma":0.0018465291,"teacher_disagreement_score":0.47707313,"about_ca_system_score_codex":0.00085791963,"about_ca_system_score_gemma":0.00008100255,"threshold_uncertainty_score":0.9999673},"labels":[],"label_agreement":null},{"id":"W4282978897","doi":"10.1007/s11146-022-09914-z","title":"Sustainability and Private Equity Real Estate Returns","year":2022,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Real Estate Research Institute","keywords":"Real estate; Business; Real estate investment trust; Private equity fund; Private equity; Accounting; Finance; Equity (law); Capitalization rate; Alternative investment","score_opus":0.02185205320377201,"score_gpt":0.2365011682544137,"score_spread":0.2146491150506417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282978897","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95748454,0.00014700391,0.00004133112,0.0016376092,0.00042943473,0.00017594578,0.00010935199,0.000012233739,0.039962556],"genre_scores_gemma":[0.7614993,0.23788294,0.00023639227,0.000090879934,0.00009089392,0.0000052823516,0.0000046287482,0.000027646822,0.00016204076],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980371,0.00007473079,0.0011024312,0.00029492305,0.000035275225,0.00045551595],"domain_scores_gemma":[0.9979688,0.00018093047,0.0013174332,0.00036094987,0.000049698934,0.00012219041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003791132,0.00022107047,0.000634553,0.00016568802,0.00053293054,0.00012364036,0.00042616136,0.00006432985,0.000043023785],"category_scores_gemma":[0.0000659941,0.00021760805,0.000115119954,0.00012128935,0.0002532479,0.00053035666,0.0005691976,0.0004932384,0.000005594428],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026796558,0.0003399668,0.14587097,0.00028254456,0.00031520237,0.000093073955,0.02365374,0.0336753,0.00002022467,0.102871664,0.0016924416,0.68850523],"study_design_scores_gemma":[0.004296889,0.0020429136,0.14858502,0.000029100987,0.00012626217,0.0010888567,0.00822216,0.035512216,0.000052722273,0.36327532,0.43524894,0.0015195952],"about_ca_topic_score_codex":0.0013186615,"about_ca_topic_score_gemma":0.00023328699,"teacher_disagreement_score":0.6869856,"about_ca_system_score_codex":0.00048686887,"about_ca_system_score_gemma":0.00013884666,"threshold_uncertainty_score":0.8873799},"labels":[],"label_agreement":null},{"id":"W4283157333","doi":"10.4018/978-1-6684-5279-0.ch014","title":"Managing Risk in Wealth Building Through Residential Real Estate Business in Canada","year":2022,"lang":"en","type":"book-chapter","venue":"Advances in logistics, operations, and management science book series","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Capitalization rate; Business; Investment (military); Residential real estate; Property management; Real estate investment trust; Finance; Real estate development; Capital (architecture); Corporate Real Estate; Income approach; Cost approach; Geography","score_opus":0.016829618440056524,"score_gpt":0.23383973094915417,"score_spread":0.21701011250909763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283157333","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013763806,0.0033772076,0.002906231,0.00062934443,0.0016184864,0.00066514366,0.00015049959,0.000022690232,0.989254],"genre_scores_gemma":[0.02322766,0.95416445,0.006679906,0.00023924635,0.000069921545,0.00007034287,0.000046106954,0.00004077613,0.015461592],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975126,0.000017518572,0.0009978277,0.00087807694,0.00011155657,0.0004824143],"domain_scores_gemma":[0.99917465,0.000050878818,0.00033603044,0.00036072815,0.000025427003,0.00005230093],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011011438,0.00028205474,0.0005280584,0.000714997,0.0004442718,0.00019959144,0.0004140926,0.000052058815,0.00014614494],"category_scores_gemma":[0.00008925293,0.0003719795,0.000024163466,0.00026042535,0.0004777694,0.0027924052,0.00042168357,0.0003144574,0.000005495194],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027115108,0.000010508998,0.007856118,0.00013742739,0.0000065175677,0.00007710976,0.0002893436,0.1208454,7.566377e-8,0.8627538,0.00005378961,0.007942784],"study_design_scores_gemma":[0.0007134079,0.000045433597,0.008703726,0.00022206137,0.000014629175,0.000005019087,0.0011833763,0.008363353,0.0000010540266,0.18744145,0.7923568,0.00094972044],"about_ca_topic_score_codex":0.5207176,"about_ca_topic_score_gemma":0.9398592,"teacher_disagreement_score":0.97379243,"about_ca_system_score_codex":0.0017480657,"about_ca_system_score_gemma":0.0003422726,"threshold_uncertainty_score":0.9998732},"labels":[],"label_agreement":null},{"id":"W4283322315","doi":"10.3390/su14127496","title":"Housing Sustainability: The Effects of Speculation and Property Taxes on House Prices within and beyond the Jurisdiction","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Speculation; Context (archaeology); Jurisdiction; Sustainability; Corporate governance; Economics; Investment (military); Public economics; Business; Finance; Politics","score_opus":0.00784491894351621,"score_gpt":0.20029820760505485,"score_spread":0.19245328866153863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283322315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99241716,0.00036716362,0.00015373301,0.0044659097,0.00025524886,0.0011784654,0.000014497065,0.000041227762,0.0011066243],"genre_scores_gemma":[0.9993921,0.000070192254,0.00003605325,0.00017068462,0.00004504655,0.000094929565,0.0000019824868,0.000024296405,0.0001647129],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99867445,0.0001502528,0.00045546936,0.00042119328,0.000058549318,0.00024008138],"domain_scores_gemma":[0.99860245,0.0004073,0.0003720874,0.00047342601,0.0001043055,0.000040409377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024888753,0.00014984971,0.0002763611,0.00010668796,0.0007925937,0.00010036963,0.0001630618,0.00005025071,0.000013919262],"category_scores_gemma":[0.0013137665,0.00009878412,0.000062943174,0.00023789587,0.00037099933,0.0001919767,0.00025159234,0.0002631764,6.588963e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005886676,0.0005161664,0.66347075,0.0019147488,0.00011529794,0.00000804652,0.027197374,0.0048234705,0.00001725516,0.2596125,0.00045031524,0.041285384],"study_design_scores_gemma":[0.0009341656,0.0007768803,0.33008176,0.00000950034,0.00004433922,0.000008462045,0.011688785,0.0116702765,0.000121653946,0.6293036,0.014950125,0.000410498],"about_ca_topic_score_codex":0.0007912514,"about_ca_topic_score_gemma":0.000075202086,"teacher_disagreement_score":0.36969104,"about_ca_system_score_codex":0.00076603546,"about_ca_system_score_gemma":0.000118652584,"threshold_uncertainty_score":0.609607},"labels":[],"label_agreement":null},{"id":"W4283381201","doi":"10.3390/jrfm15020087","title":"Urban Leverage and Housing Price in China","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Hong Kong Polytechnic University","keywords":"Leverage (statistics); China; Business; Loan; Panel data; Monetary economics; Economics; Finance; Econometrics; Geography","score_opus":0.00889941860520712,"score_gpt":0.17576237209886547,"score_spread":0.16686295349365834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283381201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97998494,0.0020598613,0.0033179,0.00014251098,0.00051318144,0.00009726152,0.00001772391,0.0000044556286,0.013862151],"genre_scores_gemma":[0.99013275,0.008818211,0.0007359186,0.00009155027,0.000103709455,0.0000029381513,6.322241e-7,0.000011064851,0.000103234655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990926,0.000021473066,0.0005230703,0.00015918176,0.00003301388,0.0001707046],"domain_scores_gemma":[0.9994076,0.00002142839,0.00043138574,0.00008554599,0.0000056222134,0.000048405484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011980928,0.000089959554,0.00028939435,0.0003894027,0.00018950063,0.000055838893,0.00010876384,0.000025641835,0.000042633183],"category_scores_gemma":[0.000036988527,0.00010748825,0.000051646635,0.00016986801,0.00002335314,0.00016451997,0.00017417556,0.000246724,0.0000023868045],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002791623,0.0002522593,0.64158547,0.00008435248,0.00003779737,0.0002235475,0.004654157,0.0017377196,0.0000012316649,0.09479323,0.002775149,0.25357592],"study_design_scores_gemma":[0.001232445,0.000136439,0.58903563,0.000015036885,0.000012129566,0.000022038617,0.0002922412,0.0008759473,6.8954887e-7,0.022672586,0.3855167,0.0001881087],"about_ca_topic_score_codex":0.00008809979,"about_ca_topic_score_gemma":0.000019097835,"teacher_disagreement_score":0.38274157,"about_ca_system_score_codex":0.000108735876,"about_ca_system_score_gemma":0.000010353409,"threshold_uncertainty_score":0.43832436},"labels":[],"label_agreement":null},{"id":"W4283390599","doi":"10.5430/rwe.v13n1p1","title":"(Un-)affordability of Homes From a Resident’s Point of View in Two Mid-Sized Canadian Cities 30 Years Apart","year":2022,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Subsidy; Point (geometry); Single-family detached home; Economics; Opting out; Demographic economics; Public economics; Business; Geography; Mathematics; Market economy","score_opus":0.06786200253221968,"score_gpt":0.2961927518955447,"score_spread":0.22833074936332504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283390599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87732315,0.0011019043,0.0000015988745,0.0012160665,0.0001791441,0.00043490963,0.0003201869,0.0000075963994,0.11941545],"genre_scores_gemma":[0.99875855,0.0003547583,0.00019551504,0.00008365526,0.00004475425,0.00015035845,0.00003664936,0.00003004193,0.0003457426],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971999,0.00022394475,0.0012727925,0.0005315501,0.00006573619,0.000706093],"domain_scores_gemma":[0.9983757,0.0004975126,0.0002793788,0.000632913,0.000033070264,0.00018139652],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0056834714,0.00014682536,0.0008093926,0.0022697882,0.00010573846,0.000053178424,0.0006184391,0.000043811728,0.010017754],"category_scores_gemma":[0.00014782927,0.00021695957,0.00013760597,0.00090499833,0.00022674388,0.0002558723,0.00033257,0.00054044084,0.000111315436],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010871165,0.00014147152,0.9631325,0.00011677035,0.00005578168,0.000024620847,0.0017659108,0.00088950177,0.0000052160917,0.02904911,0.0011262639,0.0035841397],"study_design_scores_gemma":[0.0032629792,0.00010926692,0.4116248,0.00011108251,0.00000409071,0.0000019454567,0.0023847828,0.0028195,0.00018140656,0.4390501,0.13987748,0.0005725809],"about_ca_topic_score_codex":0.42862776,"about_ca_topic_score_gemma":0.49431047,"teacher_disagreement_score":0.5515077,"about_ca_system_score_codex":0.0014379781,"about_ca_system_score_gemma":0.0005061406,"threshold_uncertainty_score":0.9908872},"labels":[],"label_agreement":null},{"id":"W4285226566","doi":"10.5958/2583-3561.2022.00006.6","title":"COVID-19 and Its Effects on the North American Real Estate Markets","year":2022,"lang":"en","type":"article","venue":"Splint International Journal Of Professionals","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Real estate; Business; Virology; Medicine; Internal medicine; Finance; Outbreak; Infectious disease (medical specialty)","score_opus":0.032772245971545357,"score_gpt":0.29663926117210315,"score_spread":0.2638670152005578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285226566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9702261,0.000071456525,0.000055995064,0.019452548,0.0018839582,0.00014266412,0.000104301434,0.000008362736,0.008054631],"genre_scores_gemma":[0.992972,0.001515744,0.000121001576,0.0045415927,0.00032357583,0.000019881225,0.00001084268,0.000017842896,0.00047747552],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876416,0.00011538046,0.0006152971,0.00018725063,0.00015329538,0.0001646184],"domain_scores_gemma":[0.997825,0.000733205,0.0010777764,0.000112569105,0.00007767432,0.0001737523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018036737,0.00011759002,0.00027538624,0.00027677725,0.00026674662,0.00005272927,0.0004986187,0.000019285753,0.00078764284],"category_scores_gemma":[0.0007346785,0.00009680676,0.000112727335,0.00012059842,0.00004609796,0.00012629262,0.0002496577,0.0003929998,0.00004087964],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0048047216,0.0015467113,0.5345768,0.00017573038,0.001646879,0.0007171245,0.0070933145,0.0045156614,0.00012798952,0.28179854,0.060116395,0.10288014],"study_design_scores_gemma":[0.0041447417,0.001217556,0.48439515,0.00012737693,0.000040314593,0.00048023317,0.0021256262,0.009279701,0.00019540507,0.04822155,0.44877416,0.0009982089],"about_ca_topic_score_codex":0.000043429558,"about_ca_topic_score_gemma":0.000018656287,"teacher_disagreement_score":0.38865775,"about_ca_system_score_codex":0.00036596853,"about_ca_system_score_gemma":0.00016480898,"threshold_uncertainty_score":0.86241364},"labels":[],"label_agreement":null},{"id":"W4285448036","doi":"10.5149/northcarolina/9781469663333.003.0002","title":"$10 Down, $10 a Month!","year":2021,"lang":"en","type":"book-chapter","venue":"University of North Carolina Press eBooks","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Miami; Acre; Boom; Newspaper; Speculation; Corporation; Port (circuit theory); Payment; Agricultural economics; Economic history; Geography; History; Economy; Political science; Finance; Business; Engineering; Law; Economics; Agricultural science","score_opus":0.03167045506805288,"score_gpt":0.1664027908345393,"score_spread":0.1347323357664864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285448036","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015830736,0.0007738051,0.00007011476,0.000016815222,0.00022427399,0.00020174088,0.00073372765,0.000053178774,0.99634326],"genre_scores_gemma":[0.00861352,0.00075282383,0.0002788451,0.000024064077,0.00013535259,3.599556e-7,0.00015747413,0.0000615292,0.98997605],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984818,0.000009751478,0.00049235096,0.00065637403,0.000054531236,0.00030518556],"domain_scores_gemma":[0.9981614,0.000045800494,0.0007674722,0.0007530633,0.00012017831,0.00015209275],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001559687,0.00035166682,0.0009716161,0.00025213847,0.00014302392,0.0000295855,0.00052695087,0.00040461178,0.0056083146],"category_scores_gemma":[0.000016542255,0.00055427494,0.00048670277,0.000010993698,0.00020939935,0.00009109119,0.00034603605,0.00033339934,0.00064181426],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016747991,0.00027763724,0.008948211,0.0017106569,0.0034046625,0.0014139294,0.0033382874,0.0013186705,0.0000015936544,0.7531829,0.14166804,0.083060645],"study_design_scores_gemma":[0.00055759377,0.00006913081,0.0006421419,0.000063187894,0.00007572454,0.000005356325,0.0000068745703,0.0002385674,0.0000031515845,0.0019345134,0.99587804,0.0005257224],"about_ca_topic_score_codex":0.0012924747,"about_ca_topic_score_gemma":0.0019370131,"teacher_disagreement_score":0.85421,"about_ca_system_score_codex":0.00016591763,"about_ca_system_score_gemma":0.0000870717,"threshold_uncertainty_score":0.9996909},"labels":[],"label_agreement":null},{"id":"W4285589344","doi":"10.3390/jrfm15070309","title":"The Effects of National Fundamental Factors on Regional House Prices: A Factor-Augmented VAR Analysis","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Education Department of Jiangxi Province; Jiangxi University of Finance and Economics","keywords":"Economics; Inflation (cosmology); Monetary policy; Interest rate; House price; China; Affect (linguistics); Macroeconomics; Vector autoregression; Monetary economics; Inflation rate; Econometrics","score_opus":0.014305728817279097,"score_gpt":0.2007511102361843,"score_spread":0.1864453814189052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285589344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948082,0.00068688556,0.0019060947,0.00007369916,0.00064245716,0.00014504592,0.000084833206,0.000006791562,0.0016460178],"genre_scores_gemma":[0.99589837,0.003707289,0.00012734532,0.00008760298,0.00007099523,0.0000068921995,0.0000036453866,0.000012282158,0.00008559556],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988669,0.00003471286,0.0006294766,0.00016592177,0.00014072961,0.00016225397],"domain_scores_gemma":[0.9984969,0.00025984604,0.0010424822,0.00011810524,0.00003072859,0.00005196157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073270925,0.000119145494,0.00035369844,0.0005296439,0.00040339355,0.000052652333,0.00022383954,0.00002845728,0.000047546382],"category_scores_gemma":[0.000096141586,0.00010336953,0.0002683573,0.0003808837,0.00005013304,0.00009860267,0.00011138317,0.00020317629,0.0000032181008],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008365402,0.0011114567,0.7743631,0.00015266528,0.002468305,0.000040491574,0.004354764,0.0053446353,0.000007983837,0.16842234,0.0044814236,0.038416274],"study_design_scores_gemma":[0.0014180697,0.00059888395,0.8087762,0.000016137441,0.00016411599,0.000003010455,0.00058657455,0.00047228794,0.000010686674,0.013597337,0.17413987,0.00021684001],"about_ca_topic_score_codex":0.000043743563,"about_ca_topic_score_gemma":0.000014248398,"teacher_disagreement_score":0.16965844,"about_ca_system_score_codex":0.00021766746,"about_ca_system_score_gemma":0.000020723372,"threshold_uncertainty_score":0.4215287},"labels":[],"label_agreement":null},{"id":"W4285663192","doi":"10.24149/wp2024","title":"The Impact of the COVID-19 Pandemic on the Demand for Density: Evidence from the U.S. Housing Market","year":2020,"lang":"en","type":"article","venue":"Federal Reserve Bank of Dallas, Working Papers","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Supply and demand; Demographic economics; Dispersion (optics); Population; Economics; Aggregate demand; Business; Development economics; Labour economics; Monetary economics; Microeconomics; Demography; Infectious disease (medical specialty)","score_opus":0.12818219693537372,"score_gpt":0.2845896686004616,"score_spread":0.15640747166508787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285663192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96268356,0.0014351725,0.00014541327,0.024698794,0.00037412567,0.0007069649,0.00009587035,0.000027769906,0.009832346],"genre_scores_gemma":[0.99557793,0.0015181644,0.00006373569,0.0023820351,0.00026327252,0.00002244495,0.0000043346827,0.00003887575,0.00012922804],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981022,0.00019496749,0.0007374508,0.00043015578,0.00010607826,0.00042913557],"domain_scores_gemma":[0.9920208,0.006241537,0.0008259365,0.0007583621,0.000036596943,0.00011677928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002577272,0.0002465036,0.00046941472,0.00002961227,0.0010946074,0.0002970662,0.001263268,0.00012740868,0.00014676282],"category_scores_gemma":[0.0056202635,0.00012927441,0.00056650623,0.00025923527,0.00029314187,0.000087095956,0.00029397247,0.00034232,0.000008590394],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001040924,0.000021626189,0.9689554,0.000038282065,0.00032496074,8.4837933e-7,0.001338613,0.0039308197,0.00014665985,0.0020644283,0.019470664,0.0026667763],"study_design_scores_gemma":[0.0029275964,0.00069909956,0.7352984,0.00089644146,0.00013483594,0.000007384717,0.0015980985,0.040056065,0.00030856105,0.033632882,0.18323484,0.0012058275],"about_ca_topic_score_codex":0.002148704,"about_ca_topic_score_gemma":0.002355244,"teacher_disagreement_score":0.23365703,"about_ca_system_score_codex":0.0002650039,"about_ca_system_score_gemma":0.00017792796,"threshold_uncertainty_score":0.8418946},"labels":[],"label_agreement":null},{"id":"W4285811070","doi":"10.1016/j.crm.2022.100447","title":"Making physical climate risk assessments relevant to the financial sector – Lessons learned from real estate cases in the Netherlands","year":2022,"lang":"en","type":"article","venue":"Climate Risk Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Bundesministerium für Bildung und Forschung; Svenska Forskningsrådet Formas; Stichting voor Fundamenteel Onderzoek der Materie; Agencia Estatal de Investigación; Réseau de cancérologie Rossy; Agence Nationale de la Recherche; Achmea; European Commission","keywords":"Process (computing); Identification (biology); Purchasing; Real estate; Business; Risk analysis (engineering); Investment decisions; Quality (philosophy); Finance; Computer science; Marketing","score_opus":0.08682513224546008,"score_gpt":0.31242426316397537,"score_spread":0.2255991309185153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285811070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9257066,0.00006268222,0.0002952256,0.0012393176,0.0006771908,0.00064591545,0.0016285488,0.000055189736,0.06968931],"genre_scores_gemma":[0.9764962,0.021849561,0.0004534467,0.0004354782,0.00024314961,0.00032110713,0.000090089,0.000052825664,0.000058147365],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9975896,0.00026887408,0.0006219836,0.00069309794,0.00010654099,0.0007199342],"domain_scores_gemma":[0.9983071,0.00031378053,0.0005469792,0.0007722581,0.000008318519,0.000051537703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026645598,0.0002604662,0.0004291533,0.00019370884,0.0010201161,0.00027824737,0.0007627681,0.000040874467,0.00021181726],"category_scores_gemma":[0.00006355504,0.00022141787,0.00017449989,0.00039471177,0.000040844257,0.00012704148,0.00083031453,0.0005175792,0.00032058122],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009867551,0.001094373,0.37078604,0.000118510434,0.00031758033,0.00041846078,0.01574817,0.08151758,0.0000021564886,0.05467741,0.00585823,0.46847475],"study_design_scores_gemma":[0.001987287,0.00044883337,0.42792693,0.000040327766,0.00017118911,0.000006365764,0.008212623,0.113783576,0.0000017730738,0.034792725,0.4116553,0.00097303436],"about_ca_topic_score_codex":0.0019665244,"about_ca_topic_score_gemma":0.0017737115,"teacher_disagreement_score":0.4675017,"about_ca_system_score_codex":0.00033373703,"about_ca_system_score_gemma":0.0000129543605,"threshold_uncertainty_score":0.90291584},"labels":[],"label_agreement":null},{"id":"W4286587298","doi":"10.3390/jrfm15080324","title":"Cap Rates as a Function of Real Economic Growth","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Econometrics; Inflation (cosmology); Economics; Real gross domestic product; Gross domestic product; Growth rate; Inflation rate; Variable (mathematics); Statistics; Interest rate; Mathematics; Macroeconomics","score_opus":0.009151492942222509,"score_gpt":0.18673494987191241,"score_spread":0.1775834569296899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286587298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9595035,0.0006739232,0.0018473726,0.00008842372,0.0012845022,0.000099866214,0.000051105057,0.0000056264366,0.036445707],"genre_scores_gemma":[0.9900778,0.009168298,0.00030704652,0.000062462444,0.00017165877,0.0000051085476,0.0000023898128,0.000012479664,0.00019278727],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99893767,0.000021875423,0.00070656213,0.00015511314,0.00003269357,0.00014607869],"domain_scores_gemma":[0.9988807,0.000031240896,0.00091261684,0.00010761632,0.000017742854,0.000050122533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009767452,0.00009690075,0.00035920474,0.00034904364,0.00016498071,0.000029916535,0.00014703786,0.00003164524,0.00026498252],"category_scores_gemma":[0.000028638779,0.00011456141,0.00012996183,0.000093900424,0.0000330688,0.00016090497,0.00012320495,0.00016559318,0.000023216571],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010557906,0.00024461845,0.21731192,0.00011067163,0.00016016481,0.000038207047,0.0012060847,0.0018626059,0.0000056426893,0.65282613,0.0058513377,0.119326815],"study_design_scores_gemma":[0.002634394,0.0011766811,0.36347225,0.000021198095,0.00011125983,0.000032726548,0.00096132385,0.00062738254,0.000020366988,0.30568254,0.32485712,0.00040274218],"about_ca_topic_score_codex":0.0003422544,"about_ca_topic_score_gemma":0.000025371048,"teacher_disagreement_score":0.3471436,"about_ca_system_score_codex":0.00013604356,"about_ca_system_score_gemma":0.000026029373,"threshold_uncertainty_score":0.46716785},"labels":[],"label_agreement":null},{"id":"W4286630276","doi":"10.5198/jtlu.2022.1905","title":"A prototype machine learning residential land-use classifier using housing market dynamics","year":2022,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Real estate; Land use; Computer science; Workflow; Microsimulation; Classifier (UML); Digitization; Predictive power; Machine learning; Data mining; Data science; Artificial intelligence; Transport engineering; Database; Engineering; Business; Civil engineering","score_opus":0.034626442514883976,"score_gpt":0.21702808232017695,"score_spread":0.18240163980529298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286630276","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961753,0.00040031451,0.0016567459,0.000121487654,0.0004950901,0.00014062467,0.000108272056,0.000014283619,0.0008879074],"genre_scores_gemma":[0.9973222,0.00067384815,0.0011608603,0.00007054973,0.00015966434,0.0000025745985,0.000022517472,0.000040210227,0.0005475927],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986826,0.000040447787,0.0007587369,0.00020176754,0.00006707086,0.0002493822],"domain_scores_gemma":[0.99905676,0.000058132096,0.000622859,0.00011967294,0.00003220491,0.00011038643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009968992,0.00015405587,0.00046215858,0.00031150162,0.0003466265,0.00015691185,0.00013292689,0.000072257535,0.00047567554],"category_scores_gemma":[0.000035598117,0.0001623247,0.00016544347,0.00013923644,0.000034681445,0.0005974803,0.0000348684,0.0005355133,0.00000149058],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007461115,0.00006140329,0.994581,0.00003196047,0.000082419574,0.00010873027,0.00025462414,0.0032243426,0.0000051364827,0.0001575719,0.000076562595,0.0006701286],"study_design_scores_gemma":[0.0041292463,0.0006451473,0.5584337,0.00009119371,0.00017345503,0.000507268,0.00019009915,0.28170392,0.0000043984123,0.0012122977,0.15210235,0.0008069174],"about_ca_topic_score_codex":0.0008378964,"about_ca_topic_score_gemma":0.0006087486,"teacher_disagreement_score":0.4361473,"about_ca_system_score_codex":0.00013667927,"about_ca_system_score_gemma":0.000050936593,"threshold_uncertainty_score":0.66194093},"labels":[],"label_agreement":null},{"id":"W4287040309","doi":"10.55016/ojs/sppp.v14i1.73124","title":"OVERCROWDING AS A RESPONSE TO HIGH RENT","year":2021,"lang":"en","type":"article","venue":"The School of Public Policy Publications","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Overcrowding; Economics; Economic growth","score_opus":0.05347567856432483,"score_gpt":0.2794793490063394,"score_spread":0.22600367044201458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287040309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5124783,0.0001490031,0.0014640875,0.22381882,0.00024290211,0.00021279113,0.00017574558,0.000088362416,0.26137],"genre_scores_gemma":[0.98258626,0.00011951274,0.001047959,0.0028038595,0.00030506795,0.00007968109,0.000031881755,0.0000316952,0.01299408],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99830747,0.000105791005,0.0007070652,0.00037536374,0.000057841968,0.00044647505],"domain_scores_gemma":[0.99767494,0.00025343304,0.00030869292,0.0012103198,0.0001935821,0.00035902677],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0023573304,0.00013969073,0.00030828282,0.0007416048,0.0002505725,0.0004113568,0.0006794692,0.000087558394,0.0021422924],"category_scores_gemma":[0.01016887,0.00014585754,0.00014466872,0.0017114386,0.00008026629,0.000508638,0.00028327512,0.00018482922,0.0026460174],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002372971,0.00009803671,0.007078502,0.000005965032,0.000058053727,3.7381292e-7,0.00026206055,0.00003918785,0.00039169297,0.9668681,0.023956038,0.0012182635],"study_design_scores_gemma":[0.0004160074,0.00004065491,0.16389313,0.000009826786,0.0000071263835,0.000017189515,0.00018434192,0.0001169486,0.00030684905,0.12700574,0.7077355,0.0002667049],"about_ca_topic_score_codex":0.0010449345,"about_ca_topic_score_gemma":0.00008459307,"teacher_disagreement_score":0.83986235,"about_ca_system_score_codex":0.00038240856,"about_ca_system_score_gemma":0.00086474424,"threshold_uncertainty_score":0.9987699},"labels":[],"label_agreement":null},{"id":"W4289549916","doi":"10.1111/1540-6229.12405","title":"Who benefits the most? Risk pooling in mortgage loan insurance: Evidence from the Canadian mortgage market","year":2022,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canada Mortgage and Housing Corporation; Toronto Metropolitan University","funders":"","keywords":"Mortgage insurance; Loan-to-value ratio; Leverage (statistics); Mortgage underwriting; Economic rent; Shared appreciation mortgage; Secondary mortgage market; Economics; Counterfactual thinking; Asset (computer security); Loan; Pooling; Monetary economics; Renting; Welfare; Finance; Insurance policy; Key person insurance; Microeconomics","score_opus":0.02957573632105366,"score_gpt":0.20629645824728135,"score_spread":0.17672072192622768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289549916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9082581,0.00065278145,0.000007418303,0.0015953984,0.0009791953,0.00046882793,0.0029091106,0.00003632732,0.08509286],"genre_scores_gemma":[0.9456705,0.052713193,0.00009148401,0.00069349003,0.00024040104,0.00009138277,0.00008746329,0.00008706777,0.00032504922],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99692374,0.00017903546,0.0011783795,0.00081468996,0.00004929355,0.0008548814],"domain_scores_gemma":[0.9970864,0.000837774,0.000758064,0.0010644223,0.000021796513,0.00023151023],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0035156757,0.00034980074,0.0006169131,0.00025954278,0.0014578374,0.0004394336,0.0012558898,0.00012642676,0.00085380854],"category_scores_gemma":[0.0002650239,0.00034928467,0.00018366612,0.00039050257,0.00015281262,0.00053473783,0.00036007224,0.0010319748,0.00016880705],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009722541,0.000040331157,0.8394919,0.000008855347,0.00008657149,0.000021752805,0.0046040793,0.115871444,3.5238287e-7,0.0040903054,0.0022347304,0.033452425],"study_design_scores_gemma":[0.0006965529,0.00006189542,0.783023,0.000034490957,0.000018945773,0.000012227846,0.0012972325,0.1295454,0.0000034917034,0.009397078,0.0751809,0.00072876475],"about_ca_topic_score_codex":0.71326065,"about_ca_topic_score_gemma":0.7709414,"teacher_disagreement_score":0.08476781,"about_ca_system_score_codex":0.0017175894,"about_ca_system_score_gemma":0.0003684117,"threshold_uncertainty_score":0.99989593},"labels":[],"label_agreement":null},{"id":"W4289839559","doi":"10.1007/s11146-022-09917-w","title":"Coming of Age: Renovation Premiums in Housing Markets","year":2022,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Norges Miljø- og Biovitenskapelige Universitet","keywords":"Real estate; Norwegian; Econometrics; Quarter (Canadian coin); Residential real estate; Price premium; Regression analysis; Economics; Business; Geography; Statistics; Mathematics; Finance; Microeconomics","score_opus":0.022685464266410365,"score_gpt":0.20810160184164497,"score_spread":0.18541613757523462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289839559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9806144,0.00022411428,0.00008705699,0.00024669443,0.00035523647,0.00009150323,0.00002487944,0.0000033037757,0.01835278],"genre_scores_gemma":[0.96619755,0.03313056,0.00046613187,0.000055298427,0.00005107104,0.000002301235,0.000003306556,0.000020191215,0.00007359257],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984959,0.000041877087,0.00109406,0.00013559707,0.000021848313,0.00021075112],"domain_scores_gemma":[0.9981964,0.00014115342,0.0014292632,0.00018441398,0.00002038153,0.000028353124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027223607,0.000118118354,0.00048127826,0.00026108784,0.00014509993,0.000029859902,0.00026118782,0.000040086394,0.00002903875],"category_scores_gemma":[0.000034138706,0.000121717756,0.00007311064,0.00015848788,0.00008255418,0.00031089628,0.00012306643,0.00028972828,0.000002042827],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034995067,0.000514369,0.3799657,0.00025946766,0.0002044445,0.00008652799,0.0227644,0.21938273,0.00023795116,0.049897276,0.0014368903,0.32175073],"study_design_scores_gemma":[0.010520753,0.0017071489,0.5363593,0.00027626645,0.00011017409,0.00069170736,0.008564476,0.11761493,0.0005642014,0.135829,0.1858374,0.001924613],"about_ca_topic_score_codex":0.0004426704,"about_ca_topic_score_gemma":0.00017471006,"teacher_disagreement_score":0.31982613,"about_ca_system_score_codex":0.0002062349,"about_ca_system_score_gemma":0.000053984182,"threshold_uncertainty_score":0.49635062},"labels":[],"label_agreement":null},{"id":"W4290517852","doi":"10.3390/jrfm15080351","title":"How Have District-Based House Price Earnings Ratios Evolved in England and Wales?","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Earnings; House price; Economics; Futures contract; Financial crisis; Population; Asset (computer security); Demographic economics; Financial economics; Finance; Monetary economics; Macroeconomics; Demography","score_opus":0.010217600344934534,"score_gpt":0.17470666023942583,"score_spread":0.16448905989449128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290517852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9866104,0.00097640493,0.010386388,0.0003754038,0.000299321,0.000158986,0.000032166467,0.0000088835795,0.0011520387],"genre_scores_gemma":[0.99583024,0.0027921877,0.0009994606,0.00009297271,0.00009791216,0.000009949695,0.0000021842816,0.000017692422,0.00015738842],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990398,0.000035717258,0.000475831,0.0002025447,0.000049618287,0.00019647065],"domain_scores_gemma":[0.99910945,0.000063278225,0.00063495047,0.00010879607,0.000015410818,0.00006814678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010895743,0.00012082546,0.0003484657,0.00041932458,0.00020310195,0.0001332955,0.00012873394,0.000038382826,0.00002536148],"category_scores_gemma":[0.00012288586,0.00013725,0.00006836453,0.00016210394,0.00003371648,0.00019276021,0.00011342737,0.0002997178,0.0000019315332],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033243984,0.00018287402,0.8879526,0.00007363189,0.000027356633,0.00011975881,0.0021581466,0.0014014938,0.0000016199493,0.0047177486,0.00057349267,0.10245884],"study_design_scores_gemma":[0.003071743,0.00024895568,0.44699818,0.000016188831,0.000021312755,0.000010824543,0.00041374305,0.0026725403,0.0000025030486,0.0038205045,0.5424889,0.00023465471],"about_ca_topic_score_codex":0.00006339676,"about_ca_topic_score_gemma":0.000068017456,"teacher_disagreement_score":0.54191536,"about_ca_system_score_codex":0.00012921657,"about_ca_system_score_gemma":0.000017721763,"threshold_uncertainty_score":0.5596893},"labels":[],"label_agreement":null},{"id":"W4291449334","doi":"10.3390/jrfm15080359","title":"Net Impact of COVID-19 on REIT Returns","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Real estate investment trust; Recession; Boom; Coronavirus disease 2019 (COVID-19); Bust; Economics; Business; Pandemic; Asset (computer security); Monetary economics; Demographic economics; Finance; Real estate; Macroeconomics","score_opus":0.019520454578677203,"score_gpt":0.23342153030072255,"score_spread":0.21390107572204534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291449334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9765915,0.00077772874,0.003316707,0.0002361183,0.000738285,0.00014040296,0.00018347026,0.000006812914,0.01800897],"genre_scores_gemma":[0.99501216,0.0041336766,0.0003487499,0.00018880719,0.00013140915,0.0000031399893,0.0000026553816,0.000012177498,0.00016722632],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989177,0.000030490175,0.0006725878,0.00015693555,0.000051815307,0.0001704562],"domain_scores_gemma":[0.99867797,0.00005397574,0.00097160647,0.00016492294,0.000014591335,0.00011695585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013649482,0.00010776453,0.00039549728,0.0004252423,0.00018002173,0.000028765895,0.00019794176,0.000033951095,0.00032492756],"category_scores_gemma":[0.00014859372,0.000112131565,0.00022898766,0.0001822622,0.00003325857,0.00009084614,0.00012537031,0.0002463856,0.000008057437],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003130111,0.000964237,0.46521062,0.00025322926,0.00040860532,0.0003048471,0.0072276606,0.04864232,0.0000048693905,0.25873688,0.063329205,0.15178742],"study_design_scores_gemma":[0.002599835,0.0017980353,0.23240979,0.0000193016,0.000054530763,0.000041079264,0.0005117794,0.00065340457,0.0000025952168,0.110694386,0.6508771,0.000338149],"about_ca_topic_score_codex":0.00019942134,"about_ca_topic_score_gemma":0.000014383379,"teacher_disagreement_score":0.5875479,"about_ca_system_score_codex":0.0002930536,"about_ca_system_score_gemma":0.000046506077,"threshold_uncertainty_score":0.45725924},"labels":[],"label_agreement":null},{"id":"W4291821444","doi":"10.15396/eres2022_111","title":"The hedonic house price index for Poland in years 1996-2021","year":2022,"lang":"en","type":"article","venue":"28th Annual European Real Estate Society Conference","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Index (typography); House price; Price index; Hedonic index; Agricultural economics; Advertising; Business; Computer science; Database; Geography; Economics; Econometrics; World Wide Web; Archaeology","score_opus":0.02121552117672476,"score_gpt":0.2141690740377294,"score_spread":0.19295355286100463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291821444","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77723646,0.00020344564,0.0013266943,0.0010456669,0.00089744665,0.0007139722,0.0012394637,0.00013467664,0.21720219],"genre_scores_gemma":[0.9896492,0.008108449,0.00028572805,0.00029634594,0.000118189215,0.000042594755,0.00004892704,0.00008326012,0.0013673168],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981916,0.00010031581,0.000584456,0.00049254106,0.00005392596,0.00057717226],"domain_scores_gemma":[0.9989772,0.00018116918,0.0003221691,0.00037344906,0.000037904887,0.00010815046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017471451,0.00018297664,0.00029481587,0.000060348917,0.00049195095,0.00019739295,0.0005618678,0.000041352017,0.000105647356],"category_scores_gemma":[0.00007555813,0.00020349374,0.00020135958,0.00025197314,0.00012605508,0.00018895695,0.00032596954,0.00038994936,0.00012978411],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009849443,0.00076904724,0.19325928,0.0001998434,0.00041490045,0.00014723261,0.08952577,0.01032564,0.000039544833,0.07216584,0.041413106,0.59075487],"study_design_scores_gemma":[0.0016241185,0.0002142109,0.103009395,0.00000965894,0.0000062813983,0.0000073574674,0.006792325,0.022791132,9.987292e-7,0.002871154,0.8621235,0.0005498573],"about_ca_topic_score_codex":0.0009526394,"about_ca_topic_score_gemma":0.00027202393,"teacher_disagreement_score":0.8207104,"about_ca_system_score_codex":0.00021864113,"about_ca_system_score_gemma":0.00012432068,"threshold_uncertainty_score":0.8298234},"labels":[],"label_agreement":null},{"id":"W4292566836","doi":"10.1080/14445921.2022.2110369","title":"The dynamics of house price in Vietnam","year":2021,"lang":"en","type":"article","venue":"Pacific Rim Property Research Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Apartment; Volatility (finance); House price; Ordinary least squares; Economics; Portfolio; Quarter (Canadian coin); Financial economics; Agricultural economics; Econometrics; Geography","score_opus":0.08101602503140536,"score_gpt":0.2873125467589029,"score_spread":0.20629652172749752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292566836","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21582581,0.005557913,0.0010475972,0.011325683,0.0011534195,0.00038340353,0.00003562069,0.000031356045,0.7646392],"genre_scores_gemma":[0.9727986,0.017135367,0.0004515575,0.000018734485,0.00015579019,0.000012229159,0.0000025807863,0.0000458701,0.009379272],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978431,0.00021030357,0.0008812883,0.0002856701,0.00012467668,0.00065496546],"domain_scores_gemma":[0.9986402,0.00025482028,0.00025016186,0.00044756941,0.0002599688,0.00014729396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007863693,0.00011133546,0.00033951033,0.00028267287,0.00047670535,0.00040344195,0.0004982782,0.000096904914,0.00025871914],"category_scores_gemma":[0.0012142288,0.00007507802,0.00012513329,0.0006151866,0.00024094092,0.00025046046,0.00017059955,0.0009981004,0.0002682018],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087067916,0.0015438072,0.47960737,0.00031780484,0.00037434237,0.00054145907,0.0059369807,0.0006719942,0.00058426685,0.19454274,0.03189805,0.2831105],"study_design_scores_gemma":[0.0033739351,0.0004948185,0.023499254,0.00031162472,0.000008014738,0.00074464706,0.015094873,0.103003845,0.0006527092,0.14618145,0.70565903,0.00097580365],"about_ca_topic_score_codex":0.00007916175,"about_ca_topic_score_gemma":0.0002767559,"teacher_disagreement_score":0.7569728,"about_ca_system_score_codex":0.00045485148,"about_ca_system_score_gemma":0.00030493515,"threshold_uncertainty_score":0.4336305},"labels":[],"label_agreement":null},{"id":"W4292566899","doi":"10.3390/jrfm15080369","title":"Spreads and Volatility in House Returns","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sharpe ratio; Economics; Volatility (finance); Economic rent; Systematic risk; Econometrics; Market liquidity; Financial economics; Monetary economics; Microeconomics","score_opus":0.011320266410580867,"score_gpt":0.18509771315095294,"score_spread":0.17377744674037207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292566899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99251205,0.0012272875,0.0011244603,0.00010855025,0.00041149426,0.000085196,0.000023684921,0.0000058438773,0.0045014126],"genre_scores_gemma":[0.9940315,0.0051237284,0.0006072772,0.000085703985,0.000069391004,0.0000034611553,4.6213614e-7,0.000010988071,0.00006751687],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991153,0.000023564427,0.00053044147,0.00015474684,0.000030194771,0.00014574832],"domain_scores_gemma":[0.99942946,0.000029875657,0.00038083785,0.00010259502,0.000007718924,0.000049510658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001336057,0.00008110564,0.00028804905,0.00029921858,0.00012633439,0.00003943744,0.00010476404,0.000028273571,0.000058618567],"category_scores_gemma":[0.0000554568,0.000094875846,0.000053270716,0.00013491623,0.00002919947,0.00013979118,0.00016146166,0.00024903318,0.0000024072947],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017447764,0.00011138459,0.89545393,0.000034055727,0.000014254264,0.000056136054,0.0017503855,0.0001364016,3.8636037e-7,0.017563544,0.000679282,0.08402576],"study_design_scores_gemma":[0.0011102001,0.00014784934,0.7658367,0.000010194179,0.000013026013,0.000017250464,0.00034706583,0.0012010448,6.6968204e-7,0.06195977,0.1692022,0.00015403451],"about_ca_topic_score_codex":0.000113628346,"about_ca_topic_score_gemma":0.00008637745,"teacher_disagreement_score":0.16852291,"about_ca_system_score_codex":0.00009079962,"about_ca_system_score_gemma":0.000008538431,"threshold_uncertainty_score":0.38689247},"labels":[],"label_agreement":null},{"id":"W4292688617","doi":"10.3390/jrfm15080371","title":"The COVID-19 Housing Boom: Is a 2007–2009-Type Crisis on the Horizon?","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; Boom; Underwriting; Business; Affordable housing; Financial crisis; Capitalization; Recession; Finance; Economics; Monetary economics; Financial system; Market economy; Economic growth","score_opus":0.02382688482127257,"score_gpt":0.22110029509234583,"score_spread":0.19727341027107326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292688617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8355234,0.017284775,0.020267008,0.041775264,0.012430186,0.0011582013,0.00034175048,0.00005756264,0.071161814],"genre_scores_gemma":[0.9692329,0.023396138,0.00023969538,0.006116093,0.0004953772,0.000011437614,0.0000012008684,0.000025719317,0.00048140463],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99877757,0.000060488837,0.0006183366,0.00019955909,0.00008364762,0.00026037698],"domain_scores_gemma":[0.9986212,0.000257044,0.00073770114,0.00026487216,0.000023025994,0.00009610362],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0027817057,0.00013426914,0.00027223866,0.00019157908,0.001445495,0.00018438858,0.00037286166,0.00003497224,0.0002435375],"category_scores_gemma":[0.00027352644,0.00010166458,0.000150216,0.0002504784,0.00005555095,0.00009200018,0.00020679232,0.0003867766,0.000038765647],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007656005,0.00021073988,0.021986734,0.00004179478,0.00018406747,0.00010432384,0.002558128,0.001964697,4.4552172e-7,0.23540083,0.6157531,0.12102956],"study_design_scores_gemma":[0.0004371331,0.00028304345,0.0027357459,0.000004392508,0.000030307678,0.000011972947,0.0008298536,0.00015793985,7.783412e-7,0.049252063,0.946125,0.00013182418],"about_ca_topic_score_codex":0.000108245826,"about_ca_topic_score_gemma":0.000019824243,"teacher_disagreement_score":0.33037186,"about_ca_system_score_codex":0.00021770495,"about_ca_system_score_gemma":0.000040885447,"threshold_uncertainty_score":0.9998545},"labels":[],"label_agreement":null},{"id":"W4292824065","doi":"10.1007/s11142-022-09700-5","title":"CEO compensation and real estate prices: pay for luck or pay for action?","year":2022,"lang":"en","type":"article","venue":"Review of Accounting Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University College London; Università Bocconi; Queen Mary University of London; Imperial College London; University of Warwick; Southern Methodist University; University of Cambridge; Erasmus Universiteit Rotterdam; Science Foundation Ireland; York University; Universität St. Gallen; Arizona State University; King's College London; University of Minnesota","keywords":"Luck; Real estate; Debt; Executive compensation; Public finance; Capitalization rate; Value (mathematics); Business; Corporate finance; Mandate; Compensation (psychology); Economics; Executive summary; Real estate investment trust; Monetary economics; Finance; Microeconomics; Incentive; Psychology; Political science","score_opus":0.09784981454233155,"score_gpt":0.32791480310626947,"score_spread":0.23006498856393792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292824065","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6902753,0.21930331,0.0052518873,0.020311818,0.008704458,0.0131892525,0.0024624134,0.00036966315,0.040131863],"genre_scores_gemma":[0.064807735,0.92796934,0.0051301573,0.00054557284,0.00024588828,0.00062527944,0.000056811303,0.000044198965,0.0005750143],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988361,0.000011578175,0.00067822053,0.00026753717,0.000025177613,0.00018141502],"domain_scores_gemma":[0.99857074,0.00038623076,0.0008017234,0.00014416546,0.000081376704,0.000015773227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017079074,0.000119321514,0.0006359727,0.000082196064,0.0003720597,0.000030006442,0.000102989245,0.00001981506,0.000039492334],"category_scores_gemma":[0.0004354124,0.00009327078,0.00011155494,0.00012062327,0.000028655524,0.0001789198,0.00010286981,0.00006324295,0.0000036078552],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004962536,0.00033937424,0.12797973,0.10937538,0.0015522221,0.0000014996934,0.0055425125,0.00018565402,0.000026227124,0.0346478,0.048690476,0.6711629],"study_design_scores_gemma":[0.0006954443,0.00017570223,0.0053694663,0.0005794967,0.00008174862,0.000003222297,0.001144521,0.0012092065,0.000007221558,0.0040395535,0.9864016,0.00029277444],"about_ca_topic_score_codex":0.00006591876,"about_ca_topic_score_gemma":0.000053933196,"teacher_disagreement_score":0.9377112,"about_ca_system_score_codex":0.000106613224,"about_ca_system_score_gemma":0.000024625302,"threshold_uncertainty_score":0.3803472},"labels":[],"label_agreement":null},{"id":"W4293157153","doi":"10.1061/(asce)nh.1527-6996.0000579","title":"Seismic Retrofit Added 17% to the Resale Value of Older California Houses","year":2022,"lang":"en","type":"article","venue":"Natural Hazards Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Network for Business Sustainability","funders":"","keywords":"Cripple; Bracing; Incentive; Value (mathematics); Foundation (evidence); Occupancy; Business; Hazard; Engineering; Forensic engineering; Economics; Civil engineering; Microeconomics; Computer science; Law; Structural engineering; Political science","score_opus":0.019236430569142617,"score_gpt":0.24055523014379496,"score_spread":0.22131879957465234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293157153","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3187154,0.5497871,0.00036664584,0.03287383,0.004691124,0.00317534,0.0026345644,0.000215097,0.087540925],"genre_scores_gemma":[0.9508752,0.0368307,0.0003598487,0.008911711,0.0001911363,0.00012371842,0.000054880147,0.000054892367,0.0025979078],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983403,0.00007513585,0.0008114532,0.00037854654,0.00007972855,0.00031482519],"domain_scores_gemma":[0.9987991,0.00007581274,0.00041236673,0.0006037354,0.000035905334,0.00007310806],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015407049,0.00017908409,0.0006736384,0.000120708304,0.00023656045,0.000030437344,0.00060275884,0.000047378817,0.0017104121],"category_scores_gemma":[0.00024242845,0.00015679152,0.00028613675,0.00049904885,0.000038954895,0.000082959,0.00029911206,0.00038841504,0.0005360766],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008574058,0.00013232358,0.008125663,0.0019492045,0.00019322017,0.0000084244675,0.00050469715,0.002297819,0.000011883222,0.010371605,0.867351,0.10896843],"study_design_scores_gemma":[0.00019494903,0.00005056589,0.0023096732,0.00017605833,0.000022165139,0.000012675383,0.00002091476,0.0028349187,0.000011876085,0.000638332,0.99349594,0.00023191406],"about_ca_topic_score_codex":0.0001546413,"about_ca_topic_score_gemma":0.000017344932,"teacher_disagreement_score":0.6321598,"about_ca_system_score_codex":0.00021722013,"about_ca_system_score_gemma":0.000053215754,"threshold_uncertainty_score":0.99920213},"labels":[],"label_agreement":null},{"id":"W4293178884","doi":"10.2139/ssrn.4080868","title":"Urban Land Valuation with Bundled Good and Land Residual Assumptions","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Valuation (finance); Residual; Land Values; Environmental science; Econometrics; Land use; Geography; Economics; Mathematics; Civil engineering; Engineering; Accounting; Algorithm","score_opus":0.01658454796153611,"score_gpt":0.20049703131755778,"score_spread":0.18391248335602167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293178884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97916615,0.002049703,0.0025416336,0.0010942504,0.00019769275,0.00012203972,0.000029602708,0.000022909639,0.014776005],"genre_scores_gemma":[0.9955006,0.0018530451,0.00010374201,0.000066644185,0.00022127327,0.000012967118,0.000017872975,0.000024313424,0.0021995304],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99853003,0.0000423323,0.00030900526,0.0002231084,0.00004845309,0.0008470686],"domain_scores_gemma":[0.9995011,0.000035043955,0.00025821035,0.0001285546,0.000016253165,0.00006082308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002252803,0.000109546,0.00021037374,0.00019008093,0.00057736743,0.00011417169,0.000132193,0.000036923782,0.00018108098],"category_scores_gemma":[0.00002420086,0.00011858369,0.000041697826,0.00012084674,0.000028501874,0.00019508967,0.00004992154,0.00086897734,0.00004186512],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011520291,0.000077524724,0.7244877,0.000004556636,0.00016403582,0.000002448593,0.0003254817,0.00064297067,0.0000034494776,0.27166244,0.00031772073,0.0021964218],"study_design_scores_gemma":[0.004185946,0.0014180626,0.08444211,0.000009242633,0.00006599074,0.00097205583,0.0010448054,0.003862808,0.0000036370475,0.8554138,0.0479411,0.00064044324],"about_ca_topic_score_codex":0.00013175157,"about_ca_topic_score_gemma":0.001225094,"teacher_disagreement_score":0.64004564,"about_ca_system_score_codex":0.00066600804,"about_ca_system_score_gemma":0.00028014765,"threshold_uncertainty_score":0.48357025},"labels":[],"label_agreement":null},{"id":"W4293218719","doi":"10.3390/jrfm15090374","title":"Trading Activity in Public Real Estate Markets","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate investment trust; Market liquidity; Financial economics; Equity (law); Price discovery; Real estate; Business; Alternative trading system; Portfolio; Algorithmic trading; High-frequency trading; Trading strategy; Fixed income; Volatility (finance); Financial market; Market microstructure; Economics; Finance; Order (exchange); Bond; Futures contract","score_opus":0.01981450109359285,"score_gpt":0.19779947182653773,"score_spread":0.1779849707329449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293218719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.925492,0.00011186577,0.0014919721,0.00018682482,0.0006260334,0.00008610152,0.000023970719,0.000005466904,0.07197578],"genre_scores_gemma":[0.98361164,0.015722085,0.0004466791,0.000036547917,0.00008407285,0.000006226052,8.1492294e-7,0.00001182942,0.000080108366],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989845,0.000044290875,0.0005225124,0.00017428481,0.000043456646,0.00023093044],"domain_scores_gemma":[0.99922097,0.000042679916,0.00055451336,0.000107734435,0.0000086077935,0.00006548215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002051231,0.000097739714,0.0003271971,0.00054509175,0.0001891836,0.000068111316,0.00017040131,0.000028789767,0.00011399423],"category_scores_gemma":[0.00005010607,0.00011961974,0.00009115414,0.00024072046,0.000023656965,0.00027169214,0.00014160431,0.00030936507,0.0000040171517],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027197457,0.00021157491,0.21324578,0.000032192307,0.000024181763,0.00012914729,0.0010171357,0.00019164728,0.0000013974196,0.023455562,0.000725144,0.76069427],"study_design_scores_gemma":[0.0014446119,0.00014092981,0.6386265,0.000009563478,0.000012382417,0.000020906933,0.00035603263,0.0023357773,0.0000014380456,0.025925118,0.33089933,0.00022737154],"about_ca_topic_score_codex":0.00014300893,"about_ca_topic_score_gemma":0.000068486646,"teacher_disagreement_score":0.7604669,"about_ca_system_score_codex":0.00022288662,"about_ca_system_score_gemma":0.000018714283,"threshold_uncertainty_score":0.48779514},"labels":[],"label_agreement":null},{"id":"W4293226913","doi":"10.1007/s13753-022-00397-3","title":"Experimental Evidence for Coverage Preferences in Flood Insurance","year":2022,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flood insurance; Purchasing; Actuarial science; Flood myth; Asset (computer security); Value (mathematics); Business; Economics; Geography; Statistics; Marketing; Mathematics","score_opus":0.06290104797082496,"score_gpt":0.30137720461341144,"score_spread":0.23847615664258648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293226913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914106,0.0006017887,0.0018832899,0.00022050814,0.0024323075,0.0000917997,0.000098485274,0.0000032690443,0.0032579466],"genre_scores_gemma":[0.9988417,0.00018368893,0.00066533487,0.000109060755,0.0001285542,0.000015772288,8.627183e-7,0.0000065504987,0.00004846046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99879843,0.000020073032,0.0006270091,0.00022444158,0.00015203968,0.00017801514],"domain_scores_gemma":[0.99892634,0.00012884517,0.00070612115,0.0001079242,0.00007713674,0.000053657845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018644618,0.00007704462,0.00018603986,0.00039782692,0.00013990841,0.00016612714,0.0010731856,0.000014141543,0.00021512432],"category_scores_gemma":[0.00036336808,0.000084828374,0.00009139637,0.00019463473,0.00011663551,0.00113182,0.00018824094,0.00015998835,0.000011184465],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005107318,0.00038113244,0.96314955,0.0000057842085,0.000036869576,0.000012891475,0.0054825046,0.008897049,0.00072708103,0.00800094,0.0001956756,0.012599814],"study_design_scores_gemma":[0.008354947,0.002123339,0.7794843,0.00027574366,0.000013901696,0.00028338397,0.006006448,0.029089106,0.0051096175,0.14228904,0.025739012,0.0012311966],"about_ca_topic_score_codex":0.00006341258,"about_ca_topic_score_gemma":0.000012565477,"teacher_disagreement_score":0.18366526,"about_ca_system_score_codex":0.000396455,"about_ca_system_score_gemma":0.00010435853,"threshold_uncertainty_score":0.3459201},"labels":[],"label_agreement":null},{"id":"W4294176678","doi":"10.3390/jrfm15090390","title":"An Extended Fama-French Multi-Factor Model in Direct Real Estate Investing","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; Capital asset pricing model; Real estate investment trust; Financial economics; Capitalization rate; Business; Portfolio; Economics; Market liquidity; Monetary economics; Finance","score_opus":0.026099453644652656,"score_gpt":0.22236965788867089,"score_spread":0.19627020424401823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294176678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9746271,0.00016217903,0.007495842,0.00003235767,0.0004714763,0.0001226364,0.00007583709,0.000011572486,0.017001],"genre_scores_gemma":[0.9830856,0.008612187,0.008010442,0.000059680286,0.00008234358,0.0000086051405,0.0000028617858,0.000019135474,0.00011915231],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99864477,0.000040616516,0.00076656643,0.0002454743,0.000049237842,0.0002533227],"domain_scores_gemma":[0.99906534,0.000028538263,0.0006336724,0.00016275673,0.000015548883,0.00009411497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012471059,0.00013360988,0.00039666798,0.00048695673,0.00020582687,0.00006793326,0.00022534264,0.00003798665,0.000032447642],"category_scores_gemma":[0.0000620944,0.00015851413,0.00008450685,0.00019532464,0.000028569826,0.00028777175,0.00013726133,0.0003102883,0.0000034876139],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019758134,0.00063584995,0.351373,0.0000616397,0.000037498376,0.00017291053,0.006797974,0.071588606,0.0000092531345,0.008489089,0.000330503,0.56030613],"study_design_scores_gemma":[0.0030908473,0.0003966288,0.70117855,0.00002684093,0.000028499231,0.00001547658,0.0006999167,0.24225089,0.0000036380843,0.023438672,0.028330581,0.0005394447],"about_ca_topic_score_codex":0.0006241268,"about_ca_topic_score_gemma":0.00030903466,"teacher_disagreement_score":0.55976665,"about_ca_system_score_codex":0.00018302833,"about_ca_system_score_gemma":0.00002734373,"threshold_uncertainty_score":0.6464019},"labels":[],"label_agreement":null},{"id":"W4294707509","doi":"10.5539/ijef.v14n10p13","title":"Minimum Income Required to Purchase a Property: Conceptual Framework and Application to Malta","year":2022,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Element (criminal law); Property (philosophy); Business; Economics; Conceptual framework; Population; Finance; Public economics","score_opus":0.022362421559773686,"score_gpt":0.23509793114754426,"score_spread":0.21273550958777057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294707509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98399806,0.00041978701,0.0046215816,0.007491305,0.0010650392,0.00020111522,0.0001684716,0.0000050727867,0.002029542],"genre_scores_gemma":[0.99025434,0.0015146191,0.0058370386,0.0017323887,0.00030949243,0.00003577146,0.0000040539317,0.000022756145,0.0002895122],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998701,0.000011059703,0.00076521706,0.00031011683,0.000032376523,0.00018023842],"domain_scores_gemma":[0.9990548,0.000054073673,0.00055117614,0.00016079308,0.00006402084,0.000115122275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006641727,0.00012851208,0.00034501016,0.00032311602,0.00012936545,0.00012442384,0.00042067442,0.000049315768,0.000058654427],"category_scores_gemma":[0.000111897156,0.00014322129,0.00006479911,0.000090078785,0.000058634876,0.0002475027,0.00033683324,0.00018980808,0.000033016637],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011099395,0.00022166423,0.018459493,0.000012709046,0.00020758153,0.000032870106,0.004541529,0.036376387,0.000076794,0.8377526,0.0012232566,0.09998519],"study_design_scores_gemma":[0.0009524955,0.00047525004,0.004664262,0.000027319986,0.0000061339815,0.00015237,0.00029980874,0.018627862,0.000023814737,0.07546203,0.89893615,0.00037248444],"about_ca_topic_score_codex":0.000053303866,"about_ca_topic_score_gemma":0.000011166601,"teacher_disagreement_score":0.8977129,"about_ca_system_score_codex":0.00022163903,"about_ca_system_score_gemma":0.000044530305,"threshold_uncertainty_score":0.5840395},"labels":[],"label_agreement":null},{"id":"W4295168337","doi":"10.2139/ssrn.4188109","title":"Counterfactual Identification and Latent Space Enumeration in Discrete Outcome Models","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; University of Toronto","funders":"","keywords":"Counterfactual thinking; Enumeration; Identification (biology); Outcome (game theory); Computer science; Econometrics; Mathematics; Statistics; Mathematical economics; Combinatorics; Psychology; Biology; Social psychology; Ecology","score_opus":0.023056934251990794,"score_gpt":0.21988714204670742,"score_spread":0.19683020779471663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295168337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9754188,0.0011473312,0.019411074,0.0013284733,0.0003553685,0.000114417955,0.00001854984,0.000012615218,0.0021933413],"genre_scores_gemma":[0.995848,0.0024570262,0.000028579703,0.00005449761,0.00005622701,0.000011329948,0.000010450275,0.000018217339,0.0015156977],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99844396,0.000029095625,0.0005399642,0.00021969397,0.000037022284,0.00073028775],"domain_scores_gemma":[0.9995304,0.000016687454,0.00029509145,0.00011211999,0.000009139359,0.000036557747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002180666,0.00009458741,0.00019525652,0.00022073102,0.00024708564,0.00011842584,0.00013534405,0.00003345704,0.00006335692],"category_scores_gemma":[0.000020637037,0.00011871869,0.00004912631,0.000099164536,0.000017287008,0.00041591993,0.00005641045,0.0008012003,0.000024528754],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000076641256,0.0000616226,0.12453066,0.000006784607,0.000051911604,0.0000020807286,0.0009921899,0.023764713,0.000030622843,0.84588045,0.000053697942,0.0045486433],"study_design_scores_gemma":[0.0009202606,0.00013244734,0.009166552,0.000002866013,0.000007168978,0.0001182159,0.0011426654,0.098590784,0.000007024005,0.8865966,0.0030296408,0.00028575835],"about_ca_topic_score_codex":0.00019433143,"about_ca_topic_score_gemma":0.00040238688,"teacher_disagreement_score":0.11536411,"about_ca_system_score_codex":0.0013061736,"about_ca_system_score_gemma":0.000119641234,"threshold_uncertainty_score":0.4841208},"labels":[],"label_agreement":null},{"id":"W4295226794","doi":"10.1093/qje/qjac035","title":"The Evolution of Access to Public Accommodations in the United States","year":2022,"lang":"en","type":"article","venue":"The Quarterly Journal of Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Legislation; White (mutation); Population; Racism; Racial composition; State (computer science); Disparate impact; Service (business); Race (biology); Political science; Business; Demographic economics; Advertising; Law; Civil rights; Economics; Marketing; Sociology","score_opus":0.05829767013488531,"score_gpt":0.24717359512291365,"score_spread":0.18887592498802835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295226794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9746925,0.00020554427,0.0006915693,0.020181267,0.0006293964,0.0002028842,0.00006423758,0.0000034697457,0.0033290838],"genre_scores_gemma":[0.9989403,0.00027339972,0.00004536908,0.00055775966,0.000104180406,0.000019654573,0.000008543465,0.000015446349,0.00003534322],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982903,0.00014598896,0.0011581529,0.00012312512,0.000030474223,0.0002519733],"domain_scores_gemma":[0.99778384,0.0005346121,0.0011430442,0.00043804696,0.000052727406,0.00004774477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044284617,0.00010613405,0.00028372253,0.00045938147,0.0004901146,0.00033843462,0.0017470806,0.000028011475,0.000088355286],"category_scores_gemma":[0.00007364301,0.00007557176,0.00014071552,0.00047618445,0.00008114269,0.0004625779,0.000099783225,0.0003468561,0.000018960589],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036313766,0.00040422415,0.05423434,0.000014861048,0.00026235243,0.0000031107752,0.021813257,0.16959302,0.0000045111433,0.72462285,0.010424322,0.018260045],"study_design_scores_gemma":[0.0014359087,0.0011064888,0.043489378,0.000012456509,0.000028283139,0.000099634286,0.043372165,0.04943623,0.0000048645743,0.56517917,0.2954277,0.00040773064],"about_ca_topic_score_codex":0.0005177818,"about_ca_topic_score_gemma":0.00075502647,"teacher_disagreement_score":0.2850034,"about_ca_system_score_codex":0.00047600598,"about_ca_system_score_gemma":0.00009911265,"threshold_uncertainty_score":0.37696147},"labels":[],"label_agreement":null},{"id":"W4295539930","doi":"10.3390/jrfm15090403","title":"Interest Rates, House Prices, Fertility, and the Macroeconomy","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Fertility; Causality (physics); Interest rate; House price; Monetary economics; Monetary policy; Product (mathematics); Demography; Population","score_opus":0.016266181103863703,"score_gpt":0.19891564505467615,"score_spread":0.18264946395081244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295539930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9819806,0.00409287,0.0035486985,0.00071120623,0.0008557423,0.0002227004,0.00003354046,0.000011224904,0.008543371],"genre_scores_gemma":[0.992513,0.0065023024,0.0004496978,0.0002892654,0.00008897509,0.000011237984,6.888526e-7,0.000015217654,0.00012959038],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989697,0.000036323392,0.0006238488,0.00017502188,0.000027496204,0.00016764583],"domain_scores_gemma":[0.99906653,0.00007418436,0.0006400534,0.00015044202,0.000012879098,0.00005588112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001950245,0.00010937193,0.00035767746,0.00018472785,0.00035352228,0.00012134957,0.00022467217,0.000024960002,0.00007532574],"category_scores_gemma":[0.000055940858,0.00009546503,0.000098415425,0.00010242705,0.000109561144,0.00015329813,0.00036006473,0.00028181713,0.000010314788],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016500108,0.00020948278,0.13504916,0.00009201013,0.00014579394,0.00006055667,0.002627524,0.00022526752,3.3624207e-7,0.561443,0.00329204,0.29520482],"study_design_scores_gemma":[0.0030229546,0.0001358653,0.17287213,0.000009886054,0.0000438903,0.000027781176,0.00053348404,0.0006236608,0.0000010678154,0.11409873,0.70844156,0.00018899034],"about_ca_topic_score_codex":0.0000870081,"about_ca_topic_score_gemma":0.00004222698,"teacher_disagreement_score":0.70514953,"about_ca_system_score_codex":0.000074879936,"about_ca_system_score_gemma":0.000011535297,"threshold_uncertainty_score":0.3892951},"labels":[],"label_agreement":null},{"id":"W4296448762","doi":"10.1111/1540-6229.12409","title":"Top‐floor discounts in residential buildings: Evidence from South Korea","year":2022,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Eagle Ridge Hospital; University of British Columbia","funders":"","keywords":"Apartment; Roof; Consumption (sociology); Occupancy; Business; Floor area ratio; Agricultural economics; Economics; Architectural engineering; Civil engineering; Engineering","score_opus":0.02961680375007527,"score_gpt":0.22404871204683083,"score_spread":0.19443190829675555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296448762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9510918,0.00014738715,0.00013408896,0.00056506996,0.0013363431,0.00025637395,0.00077667675,0.000048303154,0.04564396],"genre_scores_gemma":[0.9901552,0.007836137,0.0006081626,0.0001565673,0.00025042892,0.00008230273,0.00011096585,0.000080283884,0.00071993115],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971187,0.00004991873,0.0012189066,0.00094510993,0.000038152037,0.0006292043],"domain_scores_gemma":[0.99841166,0.00014721796,0.00064571126,0.00062779983,0.000012199313,0.00015542893],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001185593,0.00029506878,0.000686682,0.00041918684,0.00027431617,0.00024417686,0.00067917036,0.00010479667,0.0019365437],"category_scores_gemma":[0.000103730104,0.00042799528,0.00018473073,0.00021851655,0.00008426818,0.0007493899,0.00047502713,0.00041386005,0.0007249197],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010880696,0.00041825185,0.8205281,0.000081343576,0.00027453186,0.00013263703,0.019935071,0.080145724,0.00005989116,0.020316573,0.0028061066,0.054213688],"study_design_scores_gemma":[0.009152018,0.0007815038,0.35117635,0.0002037372,0.00011818691,0.00005975561,0.008071526,0.24030282,0.00038483427,0.16088441,0.22276355,0.0061013107],"about_ca_topic_score_codex":0.019928757,"about_ca_topic_score_gemma":0.0019759415,"teacher_disagreement_score":0.46935174,"about_ca_system_score_codex":0.0011011688,"about_ca_system_score_gemma":0.00013267815,"threshold_uncertainty_score":0.9998172},"labels":[],"label_agreement":null},{"id":"W4297464373","doi":"10.5539/ijef.v14n10p63","title":"The Effect of the Principal Component Index for Housing Quality Satisfaction on Housing Price: Urban vs. Rural Analysis","year":2022,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Moderation; Quality (philosophy); Index (typography); Business; Agency (philosophy); Survey data collection; Price index; Questionnaire; Demographic economics; Economics; Econometrics; Statistics; Mathematics","score_opus":0.01810708250697701,"score_gpt":0.24809014345244448,"score_spread":0.22998306094546747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297464373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952841,0.00024572777,0.0006491934,0.0010812096,0.0020048541,0.00016029032,0.0001310867,0.000002401722,0.00044112853],"genre_scores_gemma":[0.9985688,0.00097513985,0.00009149033,0.00011303639,0.00018844297,0.000010673385,0.000003781055,0.000014419074,0.00003424883],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99858147,0.000053284646,0.0009803602,0.00016966912,0.000053246353,0.00016195381],"domain_scores_gemma":[0.9973408,0.0003852492,0.0019964082,0.00019282776,0.000058876984,0.00002583833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019934168,0.00012534726,0.00043607695,0.00021460446,0.00038493462,0.0001237266,0.00042236742,0.00004051466,0.000011715695],"category_scores_gemma":[0.00010823445,0.000103664446,0.00037585793,0.00011431229,0.000081771504,0.00018612022,0.00014582677,0.00021971898,7.9032407e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001421241,0.000050000457,0.6804921,0.000011521506,0.00081686,9.293926e-7,0.00026271783,0.22371918,0.0000070344076,0.07862799,0.00013148294,0.014458954],"study_design_scores_gemma":[0.0031258827,0.0006820212,0.7598672,0.00003399519,0.00010932267,0.000021441818,0.00016033577,0.14918208,0.0001886038,0.014076951,0.07216523,0.00038696948],"about_ca_topic_score_codex":0.00019284483,"about_ca_topic_score_gemma":0.00012125505,"teacher_disagreement_score":0.07937509,"about_ca_system_score_codex":0.00039845213,"about_ca_system_score_gemma":0.00003903583,"threshold_uncertainty_score":0.42273134},"labels":[],"label_agreement":null},{"id":"W4297578673","doi":"10.24148/wp2022-16","title":"House Price Responses to Monetary Policy Surprises: Evidence from the U.S. Listings Data","year":2022,"lang":"en","type":"article","venue":"Federal Reserve Bank of San Francisco, Working Paper Series","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Surprise; Monetary policy; Monetary economics; Economics; Listing (finance); Stock (firearms); Federal funds; Exploit; Finance","score_opus":0.08602711673612172,"score_gpt":0.2647490454178792,"score_spread":0.17872192868175746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297578673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9669694,0.008998167,0.00017469247,0.011136119,0.0009982091,0.0005208673,0.0009904616,0.00015698736,0.010055133],"genre_scores_gemma":[0.9920297,0.0012058492,0.0024265845,0.0020461245,0.0006154024,0.000069261456,0.00008418025,0.00010546728,0.0014174175],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99697053,0.00018696944,0.0010856363,0.00094629603,0.00017835181,0.0006322389],"domain_scores_gemma":[0.995887,0.0012550798,0.00060099555,0.0020669769,0.000043747725,0.00014621887],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002390734,0.00032631203,0.00069380185,0.00024273132,0.0011139461,0.00042043673,0.0025685055,0.00009089599,0.0010307955],"category_scores_gemma":[0.0030058993,0.00033663923,0.00014048613,0.0007965651,0.00017509077,0.001076431,0.0025129819,0.0004809773,0.000121148805],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0038738379,0.00018612196,0.89420563,0.00010384519,0.00031039515,0.000047198744,0.012257546,0.0025879918,0.0005030391,0.0044609313,0.07200063,0.009462854],"study_design_scores_gemma":[0.00062050746,0.00035632795,0.38986433,0.00028600972,0.000022051016,0.0000125992265,0.0016432062,0.0007169591,0.00010709941,0.0091483295,0.5963088,0.00091373373],"about_ca_topic_score_codex":0.018151421,"about_ca_topic_score_gemma":0.0045077945,"teacher_disagreement_score":0.5243082,"about_ca_system_score_codex":0.0002094149,"about_ca_system_score_gemma":0.00018536666,"threshold_uncertainty_score":0.99990857},"labels":[],"label_agreement":null},{"id":"W4297769380","doi":"10.5267/j.dsl.2022.6.002","title":"Determining the factors influencing residential property price: A comparative study between Indonesia and Malaysia","year":2022,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Business; Nonprobability sampling; Real estate; Kuala lumpur; Purchasing; Descriptive statistics; Questionnaire; Profit margin; Marketing; Finance; Geography","score_opus":0.06955698583072863,"score_gpt":0.28039102082052625,"score_spread":0.21083403498979764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297769380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99769163,0.000010285045,0.00040677484,0.00037061243,0.00032041682,0.0003783505,0.000011563639,0.000019911628,0.00079042726],"genre_scores_gemma":[0.9993323,0.0000021948608,0.00017849218,0.0003956184,0.000041782052,0.000024687277,0.0000013085487,0.000010856035,0.000012778842],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99831796,0.00004901448,0.0005362276,0.00058293174,0.00017081785,0.0003430638],"domain_scores_gemma":[0.99893355,0.0002759526,0.000319776,0.00036334246,0.000021402482,0.00008597263],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002511086,0.00014300944,0.0003199515,0.00040315237,0.0014604564,0.00048173868,0.00076549966,0.000019115565,0.000062043706],"category_scores_gemma":[0.0001298265,0.00010394085,0.000047500576,0.0007401815,0.00028527537,0.00061251584,0.0006599487,0.00025748936,0.000028127968],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011474417,0.000023366949,0.9901998,9.251212e-7,0.000007793967,0.000002341878,0.00794156,0.0003714932,0.00007235996,0.00003669451,0.00016111117,0.0011710905],"study_design_scores_gemma":[0.00039545,0.000082528604,0.9930984,0.0000030303217,0.000004750253,0.000002149484,0.0035651186,0.0014448187,0.000021415708,0.0002792666,0.0009208234,0.00018227544],"about_ca_topic_score_codex":0.00011240199,"about_ca_topic_score_gemma":0.000008724648,"teacher_disagreement_score":0.004376441,"about_ca_system_score_codex":0.00021109576,"about_ca_system_score_gemma":0.000035709596,"threshold_uncertainty_score":0.9998395},"labels":[],"label_agreement":null},{"id":"W4297969040","doi":"10.1111/jfir.12308","title":"Signaling effects of recurrent list‐price reductions on the likelihood of house sales","year":2022,"lang":"en","type":"article","venue":"The Journal of Financial Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada; Université de Bordeaux; Concordia University","keywords":"List price; Economics; Listing (finance); Mid price; Database transaction; Market price; Price level; Econometrics; Microeconomics; Monetary economics; Computer science; Finance; Database","score_opus":0.07446083312497895,"score_gpt":0.29360916618172284,"score_spread":0.2191483330567439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297969040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99188083,0.001603577,0.00010609781,0.0017184893,0.0007411828,0.00020026043,0.000022698969,0.0000039580086,0.0037229129],"genre_scores_gemma":[0.99807405,0.0014434826,0.000058653153,0.000037592457,0.00026135214,0.000008104074,4.518635e-7,0.000021485914,0.00009479351],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983123,0.0003276749,0.0007592689,0.00011271656,0.00019123571,0.00029681905],"domain_scores_gemma":[0.99698025,0.0017216454,0.0007607561,0.00031671184,0.00016612445,0.00005449437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00929735,0.00008549294,0.0003424835,0.00040067345,0.0004736789,0.000023392076,0.00072366523,0.00004001186,0.00014329854],"category_scores_gemma":[0.0022862814,0.00006468803,0.00017693272,0.0005845816,0.00018998598,0.00007854764,0.00019329457,0.00090299273,0.000021539574],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009667377,0.005859828,0.012120284,0.001189252,0.00083347753,0.00008371364,0.044967104,0.018494418,0.031270195,0.61075824,0.13283369,0.13192242],"study_design_scores_gemma":[0.0061768317,0.018685624,0.0722228,0.0012908543,0.000188009,0.00022615682,0.00660869,0.0031901272,0.06282362,0.59876525,0.2284204,0.0014015947],"about_ca_topic_score_codex":0.00013738293,"about_ca_topic_score_gemma":0.000013290523,"teacher_disagreement_score":0.13052084,"about_ca_system_score_codex":0.00020140877,"about_ca_system_score_gemma":0.00023217095,"threshold_uncertainty_score":0.3923104},"labels":[],"label_agreement":null},{"id":"W4298285747","doi":"10.5267/j.jfs.2021.1.004","title":"A survey on the effect of government and monetary policy on Canadian housing prices","year":2021,"lang":"en","type":"article","venue":"Journal of Future Sustainability","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Inflation (cosmology); Purchasing; Monetary policy; Government (linguistics); Real estate; Interest rate; Economics; Monetary economics; Business; Finance; Economic policy","score_opus":0.008534568509270068,"score_gpt":0.2121355673156311,"score_spread":0.20360099880636104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298285747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879516,0.0005218414,0.000010816765,0.007052321,0.00030249552,0.00012479135,0.00009234115,0.000001672762,0.0039421525],"genre_scores_gemma":[0.99911845,0.00023672062,0.000022127682,0.00024831545,0.00032518152,9.319837e-7,0.0000013491011,0.000010739955,0.000036206104],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988977,0.00014109319,0.0005075588,0.00016967228,0.000060547092,0.0002234308],"domain_scores_gemma":[0.9985391,0.00048778643,0.0004832274,0.000265763,0.00009133009,0.00013278387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030338643,0.00012403722,0.00042336562,0.00011757378,0.00011275271,0.00005960833,0.00014059337,0.00008324659,0.00004178866],"category_scores_gemma":[0.0018977885,0.00009453386,0.00012879462,0.0001971388,0.000060549082,0.00009263569,0.00003156648,0.0002625033,0.0000015330934],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028243483,0.00004873817,0.9814546,0.00011471347,0.0000886845,0.000030062974,0.00046628847,0.00052024674,0.0000015793382,0.0065682353,0.0010658557,0.009358523],"study_design_scores_gemma":[0.0004027239,0.0004997227,0.98264587,0.000020036443,0.000008220995,0.0000073807923,0.000621571,0.00015630736,0.00012150756,0.0036626589,0.011737602,0.00011641541],"about_ca_topic_score_codex":0.018364066,"about_ca_topic_score_gemma":0.020181132,"teacher_disagreement_score":0.01116686,"about_ca_system_score_codex":0.0011483305,"about_ca_system_score_gemma":0.0003425391,"threshold_uncertainty_score":0.997698},"labels":[],"label_agreement":null},{"id":"W4298291774","doi":"10.32920/19750363.v1","title":"Land-use regulation and housing affordability: characterizing the impacts of restrictive zoning on Toronto's housing market through a case study of Ward 8 neighbourhoods","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Zoning; Affordable housing; Subdivision; Unit (ring theory); Business; Neighbourhood (mathematics); Land use; Property value; Economics; Public economics; Economic growth; Geography; Real estate; Finance; Political science; Law","score_opus":0.051637758511867665,"score_gpt":0.2647366759761221,"score_spread":0.21309891746425444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298291774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9806524,0.00023830065,0.00027901962,0.000088902125,0.00062194944,0.0010881311,0.00016520111,0.000048773614,0.016817337],"genre_scores_gemma":[0.99809587,0.00070121686,0.0008398434,0.00006316538,0.00012034928,0.00003821692,0.0000218991,0.000077099015,0.00004236483],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970902,0.00019531215,0.0014215736,0.00082645024,0.0000922918,0.00037414813],"domain_scores_gemma":[0.9963426,0.0005842147,0.0019203289,0.001023258,0.00005983994,0.000069759],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019921646,0.00040770907,0.0011163597,0.00020668391,0.00037295828,0.00023955709,0.00027491187,0.00022205444,0.00040875588],"category_scores_gemma":[0.00030384256,0.0003960702,0.00019829952,0.00017981917,0.00009712553,0.000588842,0.00092352036,0.00053493935,7.625516e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00093672756,0.0010334724,0.94950974,0.00052574166,0.00064889266,0.00009274316,0.032898817,0.005045513,0.0000257351,0.0029428694,0.00007810968,0.0062616165],"study_design_scores_gemma":[0.003990583,0.0020990367,0.88884956,0.00055077823,0.00035739265,0.00015673395,0.041375626,0.04795529,0.00015674488,0.011321333,0.0011061191,0.002080808],"about_ca_topic_score_codex":0.061240844,"about_ca_topic_score_gemma":0.006071772,"teacher_disagreement_score":0.060660206,"about_ca_system_score_codex":0.00066601485,"about_ca_system_score_gemma":0.00008140094,"threshold_uncertainty_score":0.99984914},"labels":[],"label_agreement":null},{"id":"W4298396562","doi":"10.1108/jpif-06-2022-0044","title":"Macroeconomic risk factors and Chinese FDIs in real estate: evidence from the Asia-Pacific public real estate markets","year":2022,"lang":"en","type":"article","venue":"Journal of Property Investment and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Real estate; Real estate investment trust; Diversification (marketing strategy); China; Economics; Financial economics; Mainland China; Business; Finance; Geography; Marketing","score_opus":0.03640481597515097,"score_gpt":0.21940244481015708,"score_spread":0.18299762883500612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298396562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98113036,0.000996645,0.0000066400344,0.0020640355,0.00047551678,0.0002392279,0.00015866915,0.000009270012,0.014919624],"genre_scores_gemma":[0.8055119,0.19366953,0.0002865438,0.00008556946,0.00008191808,0.000017411894,0.0000072257785,0.000024944537,0.00031494506],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979876,0.00014309984,0.0010380602,0.0004055105,0.0000645475,0.00036112772],"domain_scores_gemma":[0.99813044,0.00027659442,0.001167681,0.0002964643,0.000025496249,0.00010331595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020226082,0.00026173593,0.0005994467,0.00021159998,0.0003827853,0.00023943096,0.0003997152,0.000064582964,0.00009970137],"category_scores_gemma":[0.00019844044,0.0001742583,0.000111968424,0.00021088673,0.00017981268,0.00083510496,0.00024538938,0.00054482085,0.000008065178],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022185242,0.000085425105,0.9710026,0.000012270536,0.000056272314,0.00002473801,0.004048204,0.00015751613,0.0000135807595,0.00043025793,0.0012300551,0.022717219],"study_design_scores_gemma":[0.001080771,0.0002943165,0.90666646,0.000039476334,0.000017668372,0.00003928269,0.0012130705,0.007836775,0.000008640274,0.0054242257,0.07700803,0.0003712577],"about_ca_topic_score_codex":0.005562247,"about_ca_topic_score_gemma":0.00078908005,"teacher_disagreement_score":0.19267288,"about_ca_system_score_codex":0.00031216556,"about_ca_system_score_gemma":0.00010224888,"threshold_uncertainty_score":0.84084904},"labels":[],"label_agreement":null},{"id":"W4300448233","doi":"10.3386/w16237","title":"Endogenous Gentrification and Housing Price Dynamics","year":2010,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Gentrification; Dynamics (music); House price; Economics; Economic geography; Econometrics; Sociology; Economic growth","score_opus":0.3612636796880956,"score_gpt":0.42341484560341563,"score_spread":0.06215116591532005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300448233","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015374291,0.0015162261,0.000092224145,0.0004575385,0.0013457391,0.00058465236,0.0004869702,0.00003073334,0.9801116],"genre_scores_gemma":[0.97960985,0.01284608,0.0010477592,0.000023464961,0.0013857943,0.00007393386,0.0009134023,0.00013632004,0.003963423],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966184,0.000054015523,0.0015128058,0.00093223806,0.00028453936,0.00059798727],"domain_scores_gemma":[0.99676514,0.0006099081,0.0011312638,0.00054664706,0.00077001407,0.00017704378],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008840314,0.0003047021,0.00088500854,0.0015380811,0.00028245672,0.00022512753,0.0005659026,0.00085403235,0.0005992602],"category_scores_gemma":[0.0014537235,0.0004065272,0.00019442715,0.00020853661,0.00038044716,0.00028639156,0.0002373695,0.0012361641,0.00044181055],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005582944,0.00015038639,0.011549153,0.00041276845,0.00025909522,0.000004784051,0.00017416522,0.00017063005,0.00007938605,0.9704423,0.0077223233,0.008979204],"study_design_scores_gemma":[0.00079835934,0.00010934496,0.001745164,0.00008506227,0.000019967662,0.000099708435,0.00008701889,0.01383183,0.00012121809,0.84420204,0.13805273,0.0008475592],"about_ca_topic_score_codex":0.0028964758,"about_ca_topic_score_gemma":0.00068033364,"teacher_disagreement_score":0.9761482,"about_ca_system_score_codex":0.0031615952,"about_ca_system_score_gemma":0.0016682524,"threshold_uncertainty_score":0.99983865},"labels":[],"label_agreement":null},{"id":"W4301399178","doi":"10.21511/ppm.20(3).2022.46","title":"Applied aspects of time series models for predicting residential property prices in Bulgaria","year":2022,"lang":"en","type":"article","venue":"Problems and Perspectives in Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Autoregressive integrated moving average; Real estate; Residential property; Quarter (Canadian coin); Investment (military); Econometrics; Regression analysis; Variables; Hedonic regression; Time series; Business; Economics; Actuarial science; Finance; Statistics; Geography; Mathematics","score_opus":0.032971348958560534,"score_gpt":0.20388285802570347,"score_spread":0.17091150906714292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301399178","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14792742,0.0015016429,0.0045355977,0.00072731066,0.0002238373,0.0025719164,0.000079327256,0.000047093643,0.8423859],"genre_scores_gemma":[0.9950697,0.0007609995,0.00290062,0.00001248577,0.000025710293,0.00038691948,0.0000072104276,0.000020704216,0.0008156464],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998879,0.000010045386,0.00044749683,0.00041309485,0.00003231676,0.00021804],"domain_scores_gemma":[0.9995949,0.000023516108,0.00020901636,0.00014322298,0.000009079798,0.00002024941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009468054,0.00011034309,0.00029456997,0.0003373097,0.0001146776,0.00004670788,0.00015175143,0.000027726477,0.00012201373],"category_scores_gemma":[0.000010291739,0.000119003904,0.000038508373,0.00017830849,0.000045297427,0.00020974744,0.00024337076,0.00010331624,0.0000024009332],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026285622,0.000273675,0.0091908155,0.0005221617,0.00009024785,0.0000032425723,0.01973076,0.068434164,0.000023331848,0.8995247,0.00009123681,0.0018528413],"study_design_scores_gemma":[0.0021339746,0.00023200538,0.011693631,0.000051315714,0.000013065171,0.0000021773785,0.009521389,0.09161063,0.000014052305,0.8800051,0.0043181432,0.0004044778],"about_ca_topic_score_codex":0.00040812322,"about_ca_topic_score_gemma":0.00014866659,"teacher_disagreement_score":0.8471423,"about_ca_system_score_codex":0.00017536018,"about_ca_system_score_gemma":0.000008886684,"threshold_uncertainty_score":0.48528382},"labels":[],"label_agreement":null},{"id":"W4302012007","doi":"10.32920/ryerson.14668458","title":"Creating Value: Using Social Purpose Real Estate Investment Trusts To Support Affordable Housing","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Affordable housing; Real estate investment trust; Real estate; Renting; Context (archaeology); Business; Investment (military); General partnership; Equity (law); Public housing; Legislature; Finance; Economic growth; Political science; Economics; Geography","score_opus":0.072644537557391,"score_gpt":0.2784952703559213,"score_spread":0.2058507327985303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4302012007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5358385,0.000015453497,0.0011193367,0.00015858833,0.0014647017,0.00056592433,0.00024312017,0.0001527818,0.4604416],"genre_scores_gemma":[0.9068096,0.0017590735,0.07734062,0.00284697,0.0019689547,0.00037024324,0.0007354789,0.0006315329,0.0075375037],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958823,0.00006397478,0.0016063723,0.0013574996,0.0001019855,0.0009878725],"domain_scores_gemma":[0.9978662,0.000062891915,0.0010130098,0.00072749285,0.000036765727,0.00029360547],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019278706,0.00059385743,0.001299533,0.0006981942,0.00074337394,0.0006364247,0.0006672066,0.00036284287,0.0035427965],"category_scores_gemma":[0.00008551861,0.0008327281,0.00042441272,0.000318951,0.00006734688,0.00027111822,0.0022432902,0.00077032374,0.00023746476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006549041,0.0014678136,0.13071814,0.0019095908,0.0016164946,0.00033059478,0.05202751,0.40506923,0.0002193795,0.28637373,0.01705083,0.10256176],"study_design_scores_gemma":[0.0037080774,0.00079469965,0.009835465,0.00022004482,0.0003362339,0.000045482328,0.005652377,0.29488903,0.00025090834,0.12738214,0.5482114,0.008674116],"about_ca_topic_score_codex":0.011074117,"about_ca_topic_score_gemma":0.00033973603,"teacher_disagreement_score":0.5311606,"about_ca_system_score_codex":0.0022580014,"about_ca_system_score_gemma":0.00037173522,"threshold_uncertainty_score":0.99941236},"labels":[],"label_agreement":null},{"id":"W4302012112","doi":"10.32920/ryerson.14668461","title":"The mid rise challenge : tools for incentivizing private developers","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; York University","funders":"Royal Bank of Canada","keywords":"Attractiveness; Incentive; Business; Consumer demand; Scale (ratio); Marketing; Economics; Geography; Market economy","score_opus":0.08802844258364718,"score_gpt":0.24750592741225722,"score_spread":0.15947748482861002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4302012112","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14104374,0.005938242,0.010529589,0.0075862305,0.010081526,0.0026656108,0.00072850235,0.00028879495,0.8211378],"genre_scores_gemma":[0.9387278,0.033027977,0.012593473,0.0005624089,0.0008771693,0.0020027664,0.0003404667,0.00029191896,0.011576046],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976203,0.000025570504,0.00095501874,0.00079648214,0.000033252283,0.0005693903],"domain_scores_gemma":[0.99801403,0.00042039936,0.0006535551,0.0008025523,0.00002860912,0.0000808399],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020248601,0.00032075561,0.0005987493,0.00015376363,0.00073855894,0.0007400723,0.0009758017,0.00022190993,0.00073002],"category_scores_gemma":[0.00034483662,0.0003254897,0.00034981486,0.00008804388,0.00007198374,0.00021154944,0.001463525,0.0005415785,0.00016686732],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020600119,0.00019707753,0.007890518,0.00046961836,0.00069302606,0.0000051880515,0.0020392868,0.0018239687,0.0000028488578,0.77313876,0.010269796,0.20326392],"study_design_scores_gemma":[0.0003306033,0.000024212128,0.00054337044,0.000015007033,0.000008757377,4.7744817e-7,0.00023348824,0.0033524127,0.000013575964,0.08465253,0.9103233,0.00050224504],"about_ca_topic_score_codex":0.00009353602,"about_ca_topic_score_gemma":0.00011468606,"teacher_disagreement_score":0.9000535,"about_ca_system_score_codex":0.0005237983,"about_ca_system_score_gemma":0.00010171467,"threshold_uncertainty_score":0.9999197},"labels":[],"label_agreement":null},{"id":"W4302012122","doi":"10.32920/ryerson.14668461.v1","title":"The mid rise challenge : tools for incentivizing private developers","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; York University","funders":"Royal Bank of Canada","keywords":"Attractiveness; Incentive; Business; Scale (ratio); Consumer demand; Marketing; Economics; Geography; Market economy","score_opus":0.08802844258364718,"score_gpt":0.24750592741225722,"score_spread":0.15947748482861002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4302012122","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14104374,0.005938242,0.010529589,0.0075862305,0.010081526,0.0026656108,0.00072850235,0.00028879495,0.8211378],"genre_scores_gemma":[0.9387278,0.033027977,0.012593473,0.0005624089,0.0008771693,0.0020027664,0.0003404667,0.00029191896,0.011576046],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976203,0.000025570504,0.00095501874,0.00079648214,0.000033252283,0.0005693903],"domain_scores_gemma":[0.99801403,0.00042039936,0.0006535551,0.0008025523,0.00002860912,0.0000808399],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020248601,0.00032075561,0.0005987493,0.00015376363,0.00073855894,0.0007400723,0.0009758017,0.00022190993,0.00073002],"category_scores_gemma":[0.00034483662,0.0003254897,0.00034981486,0.00008804388,0.00007198374,0.00021154944,0.001463525,0.0005415785,0.00016686732],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020600119,0.00019707753,0.007890518,0.00046961836,0.00069302606,0.0000051880515,0.0020392868,0.0018239687,0.0000028488578,0.77313876,0.010269796,0.20326392],"study_design_scores_gemma":[0.0003306033,0.000024212128,0.00054337044,0.000015007033,0.000008757377,4.7744817e-7,0.00023348824,0.0033524127,0.000013575964,0.08465253,0.9103233,0.00050224504],"about_ca_topic_score_codex":0.00009353602,"about_ca_topic_score_gemma":0.00011468606,"teacher_disagreement_score":0.9000535,"about_ca_system_score_codex":0.0005237983,"about_ca_system_score_gemma":0.00010171467,"threshold_uncertainty_score":0.9999197},"labels":[],"label_agreement":null},{"id":"W4302282773","doi":"10.32920/ryerson.14668458.v1","title":"Creating Value: Using Social Purpose Real Estate Investment Trusts To Support Affordable Housing","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Affordable housing; Real estate investment trust; Real estate; Renting; Context (archaeology); Business; Investment (military); Equity (law); General partnership; Legislature; Scope (computer science); Finance; Economic growth; Political science; Economics; Geography","score_opus":0.072644537557391,"score_gpt":0.2784952703559213,"score_spread":0.2058507327985303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4302282773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5358385,0.000015453497,0.0011193367,0.00015858833,0.0014647017,0.00056592433,0.00024312017,0.0001527818,0.4604416],"genre_scores_gemma":[0.9068096,0.0017590735,0.07734062,0.00284697,0.0019689547,0.00037024324,0.0007354789,0.0006315329,0.0075375037],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958823,0.00006397478,0.0016063723,0.0013574996,0.0001019855,0.0009878725],"domain_scores_gemma":[0.9978662,0.000062891915,0.0010130098,0.00072749285,0.000036765727,0.00029360547],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019278706,0.00059385743,0.001299533,0.0006981942,0.00074337394,0.0006364247,0.0006672066,0.00036284287,0.0035427965],"category_scores_gemma":[0.00008551861,0.0008327281,0.00042441272,0.000318951,0.00006734688,0.00027111822,0.0022432902,0.00077032374,0.00023746476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006549041,0.0014678136,0.13071814,0.0019095908,0.0016164946,0.00033059478,0.05202751,0.40506923,0.0002193795,0.28637373,0.01705083,0.10256176],"study_design_scores_gemma":[0.0037080774,0.00079469965,0.009835465,0.00022004482,0.0003362339,0.000045482328,0.005652377,0.29488903,0.00025090834,0.12738214,0.5482114,0.008674116],"about_ca_topic_score_codex":0.011074117,"about_ca_topic_score_gemma":0.00033973603,"teacher_disagreement_score":0.5311606,"about_ca_system_score_codex":0.0022580014,"about_ca_system_score_gemma":0.00037173522,"threshold_uncertainty_score":0.99941236},"labels":[],"label_agreement":null},{"id":"W4303832933","doi":"10.3390/jrfm15100450","title":"The Characteristics of the Housing Market and the Goal of Stable and Healthy Development in China’s Cities","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Social Science Fund of China","keywords":"China; Speculation; Real estate; Economic interventionism; Government (linguistics); Control (management); Intervention (counseling); Business; Quality (philosophy); Market economy; Economics; Finance","score_opus":0.007577607408636363,"score_gpt":0.17346436252676362,"score_spread":0.16588675511812725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4303832933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995139,0.002173567,0.00027536554,0.0003018593,0.00031181,0.00014265289,0.000027832008,6.2875324e-7,0.001627276],"genre_scores_gemma":[0.9835983,0.016027475,0.000244565,0.00003603949,0.000024742876,0.0000034005272,2.2311242e-7,0.000005455913,0.000059811948],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989428,0.000053876676,0.00075906294,0.00007956846,0.000048052338,0.00011662974],"domain_scores_gemma":[0.9987273,0.00010557761,0.0010328311,0.000101050544,0.000015589274,0.000017658995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026350191,0.000069693524,0.00033375892,0.0001096671,0.00026898168,0.000025216712,0.00014557451,0.000018263714,0.00000841414],"category_scores_gemma":[0.000077016186,0.000046612968,0.00004511719,0.000105737825,0.00016234738,0.000052889267,0.00024384167,0.00015833555,4.5936652e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016566999,0.0001122281,0.65430254,0.00028474422,0.00007698095,0.0000035086114,0.007639794,0.00013999373,0.0000010428016,0.075732954,0.00034258224,0.25970694],"study_design_scores_gemma":[0.0011665276,0.00007218356,0.9422159,0.000034915684,0.000016027405,0.000003984657,0.0008719384,0.0003461373,0.0000037368184,0.009316797,0.045887556,0.00006428485],"about_ca_topic_score_codex":0.00014160525,"about_ca_topic_score_gemma":0.000074204545,"teacher_disagreement_score":0.28791338,"about_ca_system_score_codex":0.00004387063,"about_ca_system_score_gemma":0.00003359001,"threshold_uncertainty_score":0.20688167},"labels":[],"label_agreement":null},{"id":"W4304183803","doi":"10.3390/su141912851","title":"Commercial Real Estate Market at a Crossroads: The Impact of COVID-19 and the Implications to Future Cities","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Real estate; Renting; Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Shock (circulatory); Business; Witness; Space (punctuation); Leasehold estate; Economics; Finance; Geography; Engineering","score_opus":0.018877797405182223,"score_gpt":0.28124991156988766,"score_spread":0.2623721141647054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304183803","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94393396,0.00008562987,0.0001093221,0.02848753,0.00012291486,0.00076447753,0.00057417597,0.000021657692,0.025900332],"genre_scores_gemma":[0.99841124,0.0003031158,0.000019428304,0.00042099715,0.0000756527,0.00021784486,0.00001293666,0.000014210442,0.0005245945],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987377,0.00016774442,0.0004585752,0.0003076013,0.00002856992,0.00029982437],"domain_scores_gemma":[0.9984569,0.00044286976,0.00024806437,0.0006646478,0.000069911956,0.00011758915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030213878,0.00013003554,0.00033151408,0.00008318168,0.0011292457,0.00009049347,0.00037510713,0.000038672195,0.00069483137],"category_scores_gemma":[0.0006348496,0.000097031974,0.00018917037,0.0002678708,0.00050074083,0.00009275094,0.00057153316,0.00017930084,0.0000029894827],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017507065,0.000112590445,0.814962,0.00011922045,0.000091798785,0.0000013037497,0.033127487,0.0043579596,5.4502163e-7,0.108234264,0.027267445,0.0099746315],"study_design_scores_gemma":[0.0008610738,0.00009375003,0.69676584,3.826675e-7,0.000008257932,0.000008003429,0.009246225,0.000894031,2.492204e-7,0.163026,0.1289319,0.00016428057],"about_ca_topic_score_codex":0.014221986,"about_ca_topic_score_gemma":0.001088579,"teacher_disagreement_score":0.118196204,"about_ca_system_score_codex":0.0021248823,"about_ca_system_score_gemma":0.00041023598,"threshold_uncertainty_score":0.9923424},"labels":[],"label_agreement":null},{"id":"W4306766604","doi":"10.3390/jrfm15100472","title":"A Time Series Analysis of Judicial Foreclosures in Spain","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ministerio de Ciencia e Innovación","keywords":"Foreclosure; Unit root; Recession; Financial crisis; Economics; Series (stratigraphy); Augmented Dickey–Fuller test; Unit (ring theory); Unit root test; Demographic economics; Econometrics; Keynesian economics; Cointegration; Finance; Mathematics; Biology","score_opus":0.008385111859746554,"score_gpt":0.183824530851693,"score_spread":0.17543941899194646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306766604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878975,0.0006767314,0.0015544668,0.000100960206,0.00027144307,0.000080368816,0.000087346234,0.0000029455794,0.009328243],"genre_scores_gemma":[0.99720037,0.001869738,0.0006773788,0.00004539786,0.000060777922,0.0000037462369,0.0000032235034,0.000007426798,0.00013192119],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989066,0.000030873405,0.0007504082,0.0001284423,0.00004408536,0.00013954977],"domain_scores_gemma":[0.9991044,0.000034006334,0.0007169774,0.00009953101,0.000013616847,0.00003149758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015854149,0.00008009017,0.00053685316,0.0011156092,0.00009071627,0.000017670121,0.00014266708,0.000027075363,0.00021196246],"category_scores_gemma":[0.000055304325,0.00009431059,0.00017975726,0.0006161223,0.000041542444,0.00012140749,0.00011738981,0.0001468016,0.0000030803428],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008414359,0.00035383544,0.7802325,0.000053683394,0.0005711835,0.00008927673,0.0029647972,0.02051881,0.0000022253666,0.08293015,0.0011805275,0.11026158],"study_design_scores_gemma":[0.0013913715,0.0004335076,0.7751991,0.000016078637,0.0003536115,0.000006740161,0.00070003024,0.0040729134,0.0000031209638,0.05733895,0.16020752,0.00027702987],"about_ca_topic_score_codex":0.00010876165,"about_ca_topic_score_gemma":0.0001434173,"teacher_disagreement_score":0.15902701,"about_ca_system_score_codex":0.00008052661,"about_ca_system_score_gemma":0.000012381131,"threshold_uncertainty_score":0.38458744},"labels":[],"label_agreement":null},{"id":"W4307236029","doi":"10.1016/j.euroecorev.2022.104321","title":"Indebted sellers, liquidity and mortgage standards","year":2022,"lang":"en","type":"article","venue":"European Economic Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Mortgage and Housing Corporation; Queen's University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Market liquidity; Monetary economics; Economics; Debt; Loan-to-value ratio; Value (mathematics); Loan; Financial distress; Default; Mortgage insurance; Finance; Financial system","score_opus":0.03452899717512691,"score_gpt":0.2317085844391929,"score_spread":0.19717958726406598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307236029","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11300036,0.0667255,0.00017801998,0.0016238142,0.0012471646,0.00063552806,0.00091803906,0.00015317477,0.8155184],"genre_scores_gemma":[0.7406607,0.25233996,0.0002541121,0.0041444157,0.00031119084,0.00005126634,0.00010128641,0.00015746383,0.001979554],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978276,0.00018775961,0.0009880203,0.0006269097,0.000033355263,0.00033635466],"domain_scores_gemma":[0.99872327,0.00004339048,0.0005261239,0.0005498492,0.0000113045235,0.00014606127],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004675681,0.000230254,0.0006894187,0.00013186864,0.00036170147,0.000090583744,0.00039481474,0.00002310275,0.0069658305],"category_scores_gemma":[0.000085888496,0.000299718,0.00016408101,0.000090856505,0.00006872065,0.00021763012,0.00047831205,0.00029896217,0.0011956922],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001623317,0.00034331164,0.04594733,0.0031033396,0.00061131135,0.0001868804,0.0015195995,0.0019248864,0.000011078278,0.0795581,0.64738953,0.2192423],"study_design_scores_gemma":[0.00038451742,0.00006823332,0.0018746043,0.00006476806,0.000013459689,0.00003622237,0.00002582457,0.00072126236,0.0000011418912,0.0008640051,0.9955753,0.00037064182],"about_ca_topic_score_codex":0.000043557695,"about_ca_topic_score_gemma":0.0000065935665,"teacher_disagreement_score":0.81353885,"about_ca_system_score_codex":0.0004819378,"about_ca_system_score_gemma":0.000057705925,"threshold_uncertainty_score":0.9999455},"labels":[],"label_agreement":null},{"id":"W4308863681","doi":"10.5539/ijef.v14n11p90","title":"Financial Inclusion of Rural and Urban Households and the Dodd-Frank Act","year":2022,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Unbanked; Financial inclusion; Financial services; Business; Finance; Economics","score_opus":0.011547366353297693,"score_gpt":0.19510925839580592,"score_spread":0.18356189204250822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308863681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99105036,0.0039167833,0.000056280634,0.0019294509,0.00089982455,0.000070646645,0.000102188096,0.000001888422,0.0019725638],"genre_scores_gemma":[0.9736115,0.025568143,0.0001960906,0.0003350449,0.00019971874,0.0000037501547,0.0000026053274,0.000012584732,0.00007057827],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989582,0.000019512663,0.00073729275,0.00013398154,0.000030789386,0.00012024984],"domain_scores_gemma":[0.9987474,0.00011393305,0.00096513436,0.00010464689,0.000040483148,0.000028379816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011129671,0.00011007477,0.00039192653,0.00014695701,0.00024404617,0.00007080051,0.00032554418,0.00004415391,0.000029144216],"category_scores_gemma":[0.0000701297,0.00010662339,0.00009383266,0.00004183071,0.00020018379,0.0002584196,0.00066048524,0.00019871729,8.5598367e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016686815,0.00012653162,0.06456221,0.000018796654,0.00019331678,0.0000124596445,0.0046976246,0.0036948386,0.0000132354435,0.8711152,0.00092723384,0.05296989],"study_design_scores_gemma":[0.012277846,0.00056396343,0.08056273,0.0000690836,0.000040991792,0.00065810187,0.0005826593,0.041573502,0.00006519116,0.44857973,0.4143612,0.0006649923],"about_ca_topic_score_codex":0.00009091993,"about_ca_topic_score_gemma":0.000014227057,"teacher_disagreement_score":0.42253545,"about_ca_system_score_codex":0.000076486875,"about_ca_system_score_gemma":0.00004380701,"threshold_uncertainty_score":0.43479756},"labels":[],"label_agreement":null},{"id":"W4308865895","doi":"10.3390/land11112002","title":"Investigating the Impact of Perceived Micro-Level Neighborhood Characteristics on Housing Prices in Shanghai","year":2022,"lang":"en","type":"article","venue":"Land","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Tongji University","keywords":"Perception; Explanatory power; Ordinary least squares; Predictive power; Index (typography); Econometrics; Pairwise comparison; Economics; Geography; Psychology; Marketing; Computer science; Business; Artificial intelligence","score_opus":0.04631602722973664,"score_gpt":0.23860601143263227,"score_spread":0.19228998420289561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308865895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98975027,0.000061995815,0.000024903191,0.00014697573,0.00016191535,0.000116677795,0.00023511483,0.000010932075,0.00949124],"genre_scores_gemma":[0.99946743,0.000049617378,0.00016190819,0.00014208733,0.00007202337,0.000010548147,0.000023134096,0.000021412283,0.00005184659],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991235,0.000020419293,0.00041684188,0.00020145865,0.00002394176,0.00021384051],"domain_scores_gemma":[0.9993005,0.00010058557,0.00034612924,0.00021095084,0.000007629624,0.00003420716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005298904,0.000110350746,0.0002898767,0.00014423097,0.00015825062,0.000052495074,0.00021422005,0.00003511528,0.00025450773],"category_scores_gemma":[0.0000872404,0.00009981539,0.000087421206,0.00018078294,0.000038216334,0.00007350543,0.00009953094,0.00021182565,0.000018799727],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017562075,0.00005812,0.99461544,0.000011189746,0.000020796186,0.0000015286827,0.0018716833,0.0011411888,0.00015208579,0.00081442855,0.000047110956,0.0012488562],"study_design_scores_gemma":[0.00038219674,0.000089469526,0.9859304,0.00001397851,0.0000024966635,0.000002438097,0.00015869559,0.009937292,0.000007871042,0.003092563,0.00024071534,0.00014191924],"about_ca_topic_score_codex":0.0011995999,"about_ca_topic_score_gemma":0.000110490946,"teacher_disagreement_score":0.009717178,"about_ca_system_score_codex":0.00017757983,"about_ca_system_score_gemma":0.000033970056,"threshold_uncertainty_score":0.40703535},"labels":[],"label_agreement":null},{"id":"W4308963385","doi":"10.1007/s43681-022-00234-9","title":"AI and housing discrimination: the case of mortgage applications","year":2022,"lang":"en","type":"article","venue":"AI and Ethics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Denial; Context (archaeology); White (mutation); Actuarial science; Racism; Mortgage underwriting; Ethnic group; Shared appreciation mortgage; Business; Computer science; Psychology; Mortgage insurance; Political science; Law; History","score_opus":0.060068819034898226,"score_gpt":0.2807860317110874,"score_spread":0.22071721267618918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308963385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8785722,0.0032893077,0.02138033,0.05307218,0.00046030173,0.0005447244,0.00032519398,0.00005090595,0.042304847],"genre_scores_gemma":[0.99694335,0.0006502737,0.00012791848,0.002058295,0.000044140153,0.00003354541,0.000007770951,0.00001083163,0.00012389875],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994546,0.000025337116,0.0002375267,0.00016780976,0.000015380361,0.000099334145],"domain_scores_gemma":[0.9995077,0.00014457041,0.00012310268,0.00017795543,0.000016984412,0.00002965534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010363809,0.00006105802,0.00013283649,0.00006122609,0.00066550216,0.00005429485,0.00007285862,0.000052098603,0.00006816163],"category_scores_gemma":[0.00004301156,0.00006262688,0.000026982312,0.00009876371,0.00012746925,0.00009459948,0.00012694784,0.00040091344,0.0000032615292],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010721803,0.000057176614,0.015816597,0.00011413717,0.000032805954,0.000017564347,0.009210781,0.00029291472,0.0000058660758,0.94296616,0.00087179424,0.03060348],"study_design_scores_gemma":[0.0009546262,0.00016075642,0.007561507,0.000017190174,0.000068940775,0.00063907536,0.009332181,0.06066221,0.000036114194,0.52469057,0.39520672,0.00067012385],"about_ca_topic_score_codex":0.00038588594,"about_ca_topic_score_gemma":0.00017782525,"teacher_disagreement_score":0.41827562,"about_ca_system_score_codex":0.00002294381,"about_ca_system_score_gemma":0.000020946998,"threshold_uncertainty_score":0.5118572},"labels":[],"label_agreement":null},{"id":"W4308988713","doi":"10.21916/mlr.2022.24","title":"Alternative capital asset depreciation rates for U.S. capital and total factor productivity measures","year":2022,"lang":"en","type":"article","venue":"Monthly labor review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Depreciation (economics); Economics; Consumption of fixed capital; Total factor productivity; Capital Consumption Allowance; Asset (computer security); Capital (architecture); Productivity; Stock (firearms); Capital formation; Econometrics; Monetary economics; Macroeconomics; Financial capital; Human capital; Geography","score_opus":0.031963749153528655,"score_gpt":0.25027437230615585,"score_spread":0.2183106231526272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308988713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91042244,0.08107268,0.00015761456,0.0012101427,0.0007841493,0.0012026668,0.0029655234,0.000039238832,0.0021455493],"genre_scores_gemma":[0.9855597,0.012897026,0.0002951983,0.0002435349,0.00018335835,0.00042871042,0.00013874391,0.000036390997,0.00021735778],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99872404,0.00004879086,0.0004612726,0.00047926372,0.000042867447,0.0002437348],"domain_scores_gemma":[0.99921703,0.0000723773,0.00036785146,0.0002316318,0.000047011246,0.00006406941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083681854,0.00017144835,0.0005225603,0.000081801285,0.00025600227,0.00007297747,0.00014065234,0.000032337375,0.00021970042],"category_scores_gemma":[0.00034778024,0.00019891669,0.000114251576,0.00012828,0.00003136802,0.00031298544,0.0001010611,0.0001353566,0.000024790284],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004329824,0.0015040322,0.4905446,0.0077616745,0.0013670187,0.000023830724,0.009872432,0.0021935308,0.00021945873,0.12187752,0.0182615,0.34594142],"study_design_scores_gemma":[0.0022011616,0.000669331,0.16850871,0.000282615,0.00011610551,0.000021438273,0.00026048656,0.004989217,0.00027012566,0.04268664,0.7781527,0.0018414959],"about_ca_topic_score_codex":0.00024214441,"about_ca_topic_score_gemma":0.0001113754,"teacher_disagreement_score":0.75989115,"about_ca_system_score_codex":0.00019496659,"about_ca_system_score_gemma":0.000030571628,"threshold_uncertainty_score":0.8111588},"labels":[],"label_agreement":null},{"id":"W4309231190","doi":"10.32920/21576669.v1","title":"A Question of Scarcity: Spectrum and Canada's Urban Core","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Calgary","funders":"","keywords":"Scarcity; Spectrum management; Core (optical fiber); Element (criminal law); Spectrum (functional analysis); Frequency allocation; Political science; Broad spectrum; Regional science; Economic geography; Telecommunications; Sociology; Economics; Engineering; Law; Market economy; Physics","score_opus":0.026316815510360008,"score_gpt":0.20426275136674357,"score_spread":0.17794593585638357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309231190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.810285,0.00066366274,0.0002239247,0.0007187778,0.0012905092,0.00021622556,0.00047304246,0.000030052597,0.18609881],"genre_scores_gemma":[0.9966729,0.0007510948,0.00040014437,0.0001256597,0.000104008235,0.000017219774,0.000090015375,0.000029328176,0.0018095757],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99871415,0.000011200538,0.00058301154,0.0004599452,0.00002857189,0.00020312992],"domain_scores_gemma":[0.99900067,0.000035837256,0.00048266022,0.00039540412,0.000010694488,0.00007474751],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00050483836,0.00017560812,0.0005616354,0.00017766841,0.000057910736,0.000044137694,0.00021743284,0.00012437245,0.0014931557],"category_scores_gemma":[0.00004572368,0.0002378921,0.00007681912,0.000051505525,0.00004572006,0.000039272432,0.0005662574,0.0003324529,0.0000056273198],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028480761,0.000043631164,0.74571294,0.00027861708,0.00010063734,0.000006618202,0.00024562195,0.0005519778,9.99253e-7,0.24217774,0.009938888,0.0009138373],"study_design_scores_gemma":[0.0010271595,0.0001614349,0.27663273,0.00010859918,0.00005535498,0.000015885335,0.0003370494,0.03289307,0.000058620622,0.3637687,0.32302472,0.0019166932],"about_ca_topic_score_codex":0.82526755,"about_ca_topic_score_gemma":0.6418791,"teacher_disagreement_score":0.46908024,"about_ca_system_score_codex":0.00042200074,"about_ca_system_score_gemma":0.00024217156,"threshold_uncertainty_score":0.9994196},"labels":[],"label_agreement":null},{"id":"W4309258671","doi":"10.32920/21576669","title":"A Question of Scarcity: Spectrum and Canada's Urban Core","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Calgary","funders":"","keywords":"Scarcity; Spectrum management; Element (criminal law); Core (optical fiber); Frequency allocation; Spectrum (functional analysis); Political science; Regional science; Economic geography; Telecommunications; Sociology; Economics; Engineering; Law; Market economy; Physics","score_opus":0.026316815510360008,"score_gpt":0.20426275136674357,"score_spread":0.17794593585638357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309258671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.810285,0.00066366274,0.0002239247,0.0007187778,0.0012905092,0.00021622556,0.00047304246,0.000030052597,0.18609881],"genre_scores_gemma":[0.9966729,0.0007510948,0.00040014437,0.0001256597,0.000104008235,0.000017219774,0.000090015375,0.000029328176,0.0018095757],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99871415,0.000011200538,0.00058301154,0.0004599452,0.00002857189,0.00020312992],"domain_scores_gemma":[0.99900067,0.000035837256,0.00048266022,0.00039540412,0.000010694488,0.00007474751],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00050483836,0.00017560812,0.0005616354,0.00017766841,0.000057910736,0.000044137694,0.00021743284,0.00012437245,0.0014931557],"category_scores_gemma":[0.00004572368,0.0002378921,0.00007681912,0.000051505525,0.00004572006,0.000039272432,0.0005662574,0.0003324529,0.0000056273198],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028480761,0.000043631164,0.74571294,0.00027861708,0.00010063734,0.000006618202,0.00024562195,0.0005519778,9.99253e-7,0.24217774,0.009938888,0.0009138373],"study_design_scores_gemma":[0.0010271595,0.0001614349,0.27663273,0.00010859918,0.00005535498,0.000015885335,0.0003370494,0.03289307,0.000058620622,0.3637687,0.32302472,0.0019166932],"about_ca_topic_score_codex":0.82526755,"about_ca_topic_score_gemma":0.6418791,"teacher_disagreement_score":0.46908024,"about_ca_system_score_codex":0.00042200074,"about_ca_system_score_gemma":0.00024217156,"threshold_uncertainty_score":0.9994196},"labels":[],"label_agreement":null},{"id":"W4309323205","doi":"10.1111/1540-6229.12417","title":"Conflicts of interest and agent heterogeneity in buyer brokerage","year":2022,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Reservation; Incentive; Commission; Agent-based model; Microeconomics; Business; Affect (linguistics); Economics; Finance; Computer science; Psychology","score_opus":0.07387430865090569,"score_gpt":0.2350042601501866,"score_spread":0.16112995149928092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309323205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93433094,0.00007299919,0.000019302639,0.00012656713,0.00038582302,0.00016535698,0.00026534492,0.000016803608,0.06461688],"genre_scores_gemma":[0.99084234,0.008639617,0.00015966977,0.0001005646,0.000030080086,0.000025174397,0.000033856813,0.000035409317,0.00013326973],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99837804,0.000028243743,0.00085226167,0.0004272828,0.000010199957,0.00030396663],"domain_scores_gemma":[0.99910384,0.00006407854,0.00042315523,0.0003016146,0.0000076092765,0.00009967954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076235604,0.00016391564,0.00051448256,0.00028054693,0.000086621774,0.000043628577,0.00021481133,0.00005817292,0.00022795523],"category_scores_gemma":[0.000020490008,0.00023793169,0.00008880821,0.00008938231,0.000075167336,0.00017266507,0.00029453717,0.00019701611,0.000036485195],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043002758,0.0005724303,0.77030325,0.00020178941,0.00019824096,0.00004540971,0.0062730955,0.020034943,0.000111070774,0.12837243,0.000306947,0.073150344],"study_design_scores_gemma":[0.007357834,0.00091887644,0.36409,0.00003850078,0.000029588819,0.00012299942,0.0018180291,0.10966965,0.00081012846,0.04165585,0.47103336,0.002455197],"about_ca_topic_score_codex":0.0019973374,"about_ca_topic_score_gemma":0.0016425482,"teacher_disagreement_score":0.4707264,"about_ca_system_score_codex":0.00030762592,"about_ca_system_score_gemma":0.00002846559,"threshold_uncertainty_score":0.9702573},"labels":[],"label_agreement":null},{"id":"W4309465487","doi":"10.17016/2380-7172.3228","title":"House Price Growth and Inflation During COVID-19","year":2022,"lang":"en","type":"article","venue":"FEDS Notes","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Inflation (cosmology); House price; Economics; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pandemic; Monetary economics; Geography; Medicine; Virology; Internal medicine","score_opus":0.02875778451660972,"score_gpt":0.21421115031584845,"score_spread":0.18545336579923874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309465487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9851804,0.00025764704,0.00069319346,0.001215391,0.00023115374,0.00010443109,0.00004261666,0.00011305618,0.012162136],"genre_scores_gemma":[0.9987635,0.0001977613,0.0003098563,0.0004574846,0.00008381538,0.000022596123,0.000008808417,0.000028650908,0.00012752366],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99925756,0.000014150692,0.00026790003,0.0002584216,0.00001903956,0.00018293837],"domain_scores_gemma":[0.99947643,0.00011045854,0.0001663479,0.00014601804,0.0000045673423,0.000096200834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034873124,0.000087191234,0.00016984298,0.00017624827,0.00048439985,0.000078083955,0.00010416168,0.000034509987,0.00041571318],"category_scores_gemma":[0.00032563906,0.0001216364,0.000037220012,0.0001385493,0.000026870388,0.00017605103,0.00015302244,0.00011393693,0.00007205872],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007292348,0.00005459075,0.9472114,0.00010943665,0.000033812474,0.0000086487225,0.0024028835,0.0017463256,0.00014107373,0.04720981,0.00035671538,0.00065237965],"study_design_scores_gemma":[0.0039544776,0.0002511937,0.6484801,0.000009714459,0.000021563646,0.00008531913,0.00057705067,0.013507556,0.00066344516,0.14238851,0.1884325,0.0016285649],"about_ca_topic_score_codex":0.00028709107,"about_ca_topic_score_gemma":0.00001829886,"teacher_disagreement_score":0.2987313,"about_ca_system_score_codex":0.00014899664,"about_ca_system_score_gemma":0.00002268751,"threshold_uncertainty_score":0.49601886},"labels":[],"label_agreement":null},{"id":"W4309734318","doi":"10.1016/j.ssresearch.2022.102828","title":"Persistent disparities in affordable rental housing among America's ethnoracial groups","year":2022,"lang":"en","type":"article","venue":"Social Science Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Renting; Affordable housing; Demographic economics; Racial composition; White (mutation); Geography; Inequality; Demography; Socioeconomics; Business; Race (biology); Economics; Economic growth; Political science; Sociology","score_opus":0.09622467901722827,"score_gpt":0.3257902269499719,"score_spread":0.22956554793274364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309734318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8411175,0.00009270979,0.000014693028,0.00091210863,0.0003884892,0.00016507371,0.000025398092,0.000022253047,0.15726174],"genre_scores_gemma":[0.99911124,0.000065334636,0.00005198406,0.000058988873,0.00016191204,0.00006339701,0.0000058711225,0.00001745194,0.0004638395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977247,0.00009157743,0.00035612192,0.00053230725,0.00026421592,0.0010310541],"domain_scores_gemma":[0.99947053,0.000080007805,0.000113933886,0.000180059,0.000038253085,0.00011718484],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0059010168,0.000096688476,0.00026024107,0.00076445896,0.0029518069,0.00035269666,0.0007300507,0.000048483333,0.0005370705],"category_scores_gemma":[0.00024145262,0.00013003891,0.000117626856,0.00218642,0.001336927,0.0005461561,0.00081730547,0.0006604618,0.00007781274],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014583157,0.0005665297,0.7508964,0.00004510854,0.000024314664,0.000036190377,0.025325524,0.0012705836,0.00016154672,0.19130734,0.0024901023,0.027730528],"study_design_scores_gemma":[0.002779731,0.0008446063,0.4404708,0.000037601225,0.000009293661,0.000011692805,0.16699329,0.08125398,0.000116730385,0.21664937,0.08837603,0.0024568527],"about_ca_topic_score_codex":0.005827245,"about_ca_topic_score_gemma":0.00066284655,"teacher_disagreement_score":0.31042558,"about_ca_system_score_codex":0.0018532453,"about_ca_system_score_gemma":0.0001811378,"threshold_uncertainty_score":0.9983462},"labels":[],"label_agreement":null},{"id":"W4310207302","doi":"10.3390/jrfm15120560","title":"Housing Affordability, Public Policy and Economic Dynamics: An Analysis of the City of Lisbon","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; Renting; Tourism; Context (archaeology); Population; Financial crisis; Economics; Investment (military); Business; Economic growth; Finance; Geography; Political science; Politics; Macroeconomics","score_opus":0.014437457517626373,"score_gpt":0.21222550685113817,"score_spread":0.1977880493335118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310207302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940764,0.00023572227,0.0019279141,0.00023996427,0.00027700132,0.00009478419,0.00019408387,0.0000026851662,0.0029514583],"genre_scores_gemma":[0.9977969,0.001695909,0.00034606972,0.000049528146,0.000071363895,0.0000019333002,0.000002822135,0.000009175453,0.000026275518],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99870867,0.00005064126,0.0008491995,0.00018367931,0.00004667022,0.00016111851],"domain_scores_gemma":[0.99827886,0.00004938217,0.0013327237,0.00025513367,0.000024202303,0.00005971112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017425632,0.000103725084,0.0005536899,0.0008549719,0.0002099613,0.000047642214,0.0002735052,0.0000372887,0.00005167709],"category_scores_gemma":[0.00008635197,0.00010209204,0.0002227683,0.00043233755,0.00011086141,0.00021533773,0.00034817818,0.00016578555,2.440164e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061566156,0.00011443636,0.84858185,0.000031236254,0.00016667109,0.0000010575291,0.00047476447,0.0026217082,5.6176845e-7,0.10966351,0.000015325191,0.038267303],"study_design_scores_gemma":[0.0005661926,0.0001720189,0.93995553,0.0000069140383,0.00024457212,0.000003482102,0.00048456053,0.015728362,0.0000024657793,0.031993512,0.010693702,0.00014867767],"about_ca_topic_score_codex":0.0010879581,"about_ca_topic_score_gemma":0.0012872987,"teacher_disagreement_score":0.09137368,"about_ca_system_score_codex":0.00030166213,"about_ca_system_score_gemma":0.000050125902,"threshold_uncertainty_score":0.41631925},"labels":[],"label_agreement":null},{"id":"W4310718221","doi":"10.1016/j.cstp.2022.100932","title":"Regional transport accessibility and residential property values: The case study of the Greater Toronto and Hamilton area","year":2022,"lang":"en","type":"article","venue":"Case Studies on Transport Policy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Economic geography; Property value; Regional science; Land use; Modal shift; Transport engineering; Geography; Transit (satellite); Mode (computer interface); Business; Public transport; Computer science; Civil engineering; Finance; Real estate","score_opus":0.07363140827965488,"score_gpt":0.2795147214172502,"score_spread":0.20588331313759534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310718221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99472576,0.0007043134,0.000002124966,0.00049873337,0.0002343924,0.00067040906,0.00016232496,0.000016840524,0.002985089],"genre_scores_gemma":[0.9985431,0.0004986753,0.0000051287543,0.00028737768,0.00010226684,0.000106214546,0.0000029350078,0.000022856477,0.00043145622],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99843526,0.000064988984,0.0006959361,0.0005107401,0.000056740802,0.00023634764],"domain_scores_gemma":[0.9990561,0.00006356875,0.0002689131,0.00052263617,0.000029333389,0.000059431484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008983859,0.00021405207,0.00047203,0.00007206794,0.0010106785,0.000019278457,0.00018781125,0.00004001346,0.00004943073],"category_scores_gemma":[0.000021642945,0.00013325167,0.00011661046,0.00015572735,0.0003303076,0.00015235644,0.000070384696,0.00018787083,6.1461236e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000748129,0.0009694067,0.7208208,0.00028421707,0.0009611498,0.00582619,0.2639383,0.0004598684,0.0000046097525,0.002715043,0.0005836199,0.0026886545],"study_design_scores_gemma":[0.0074264645,0.0021638633,0.66985554,0.00006678132,0.0005290798,0.013719271,0.2891147,0.00072325364,0.00004118223,0.0059781144,0.008892948,0.0014887714],"about_ca_topic_score_codex":0.022702055,"about_ca_topic_score_gemma":0.029320018,"teacher_disagreement_score":0.050965264,"about_ca_system_score_codex":0.00019208132,"about_ca_system_score_gemma":0.00004302415,"threshold_uncertainty_score":0.98839235},"labels":[],"label_agreement":null},{"id":"W4310967362","doi":"10.1177/23998083221143386","title":"Predicting housing construction period based on a cox proportional hazard model––an empirical study of housing completions in the greater Toronto and Hamilton area","year":2022,"lang":"en","type":"article","venue":"Environment and Planning B Urban Analytics and City Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Subdivision; Hazard; Microsimulation; Scope (computer science); Probabilistic logic; Homogeneous; Econometrics; Operations research; Computer science; Transport engineering; Business; Operations management; Civil engineering; Economics; Engineering; Mathematics","score_opus":0.06124486603089669,"score_gpt":0.24281732048234583,"score_spread":0.18157245445144915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310967362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976646,0.000052342293,0.0011715357,0.0000914602,0.000039820527,0.00016581571,0.000030492842,0.0000063046336,0.00077768177],"genre_scores_gemma":[0.9994098,0.000018320643,0.00043678877,0.000090956375,0.00001689749,0.000007602278,0.0000066964953,0.0000057510733,0.000007190895],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990132,0.000030538424,0.00030432266,0.00037193438,0.000109479406,0.00017055888],"domain_scores_gemma":[0.99958307,0.00003571464,0.0001695789,0.00015067974,0.000005072624,0.00005590341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011312094,0.000104150524,0.00019248934,0.0001360114,0.0007436621,0.00012958837,0.000105850944,0.000023588966,0.000029989154],"category_scores_gemma":[0.000015815236,0.000101138015,0.00001829114,0.000102774764,0.00030863125,0.00018695719,0.00006856272,0.00013643612,1.4000388e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026395704,0.00011855164,0.9351895,0.0000039145243,0.0000043856116,0.0000023146529,0.0068483064,0.057468347,0.0000076044507,0.0002086973,0.000006355433,0.00011562373],"study_design_scores_gemma":[0.0002803318,0.0002052316,0.34363672,0.0000058639184,0.000007630099,0.0000040204895,0.004359897,0.65115386,7.9640813e-7,0.0002032655,0.000052493015,0.00008987659],"about_ca_topic_score_codex":0.0001689278,"about_ca_topic_score_gemma":0.00008036421,"teacher_disagreement_score":0.5936855,"about_ca_system_score_codex":0.00012700011,"about_ca_system_score_gemma":0.000020412308,"threshold_uncertainty_score":0.5719723},"labels":[],"label_agreement":null},{"id":"W4311033801","doi":"10.1177/03063070221142931","title":"Commercial real estate governance in an era of climate change and biodiversity rising issues: Interview with Nathalie Palladitcheff, president and chief executive officer Ivanhoé Cambridge","year":2022,"lang":"en","type":"article","venue":"Journal of General Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Chief executive officer; Officer; Corporate governance; Climate change; Management; Estate; Political science; Executive director; Real estate; Public administration; Business; Accounting; Economics; Law","score_opus":0.03801090380388201,"score_gpt":0.23294604726664184,"score_spread":0.19493514346275984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311033801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99159,0.0008447811,0.000025756832,0.0008140879,0.00020894874,0.00019465061,0.00011510378,0.0000037562002,0.006202901],"genre_scores_gemma":[0.9198544,0.07857482,0.001162494,0.00024339577,0.00008666694,0.0000058922124,0.0000061935234,0.000013064793,0.00005307359],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989156,0.000060440132,0.00053837156,0.00021900803,0.00006332986,0.00020326498],"domain_scores_gemma":[0.99897856,0.000015242933,0.00078511424,0.00013164307,0.00002081459,0.00006862479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009393805,0.00013284603,0.00042656081,0.00016251471,0.00011331581,0.000058760543,0.00017297079,0.000024332516,0.00003477037],"category_scores_gemma":[0.000004180439,0.00014305528,0.000049333965,0.000112438465,0.00004930037,0.00034990348,0.00031310754,0.00020053977,0.0000012942951],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015255634,0.0006726394,0.8149862,0.00072574784,0.00040266657,0.0004853967,0.009919433,0.0015448421,0.00001260296,0.014039962,0.0021735744,0.15351133],"study_design_scores_gemma":[0.0021986463,0.0008156654,0.98136276,0.00012784742,0.00005251822,0.000039202743,0.0009364671,0.0010986914,0.000011718214,0.0003358786,0.012713557,0.00030704157],"about_ca_topic_score_codex":0.0012496131,"about_ca_topic_score_gemma":0.0005593113,"teacher_disagreement_score":0.16637652,"about_ca_system_score_codex":0.00019094317,"about_ca_system_score_gemma":0.000008668081,"threshold_uncertainty_score":0.5833625},"labels":[],"label_agreement":null},{"id":"W4311049266","doi":"10.3390/buildings12122100","title":"The COVID-19 Sentiment and Office Markets: Evidence from China","year":2022,"lang":"en","type":"article","venue":"Buildings","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic rent; Coronavirus disease 2019 (COVID-19); China; Sentiment analysis; Index (typography); Business; Quarter (Canadian coin); Economics; Actuarial science; Computer science; Political science; Geography; Microeconomics; Medicine; Artificial intelligence","score_opus":0.0305191519941414,"score_gpt":0.23111053827484646,"score_spread":0.20059138628070505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311049266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97223467,0.0046598404,0.0009791496,0.009077104,0.0007296541,0.0002035924,0.00011416291,0.00005986219,0.0119419405],"genre_scores_gemma":[0.99372756,0.002549044,0.0006716681,0.0013347395,0.0001088431,0.000052231222,0.000009323814,0.000026419191,0.001520186],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988499,0.000037813203,0.00037806618,0.0004263516,0.000040234943,0.000267618],"domain_scores_gemma":[0.9988584,0.00041166708,0.00025953888,0.00033161166,0.0000053616964,0.00013343604],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016236161,0.00012430445,0.00020876674,0.0000747996,0.0009676708,0.00021451541,0.000358151,0.000033298198,0.0012214638],"category_scores_gemma":[0.00038928428,0.00013150816,0.00006845432,0.00013155343,0.00007666204,0.0001703635,0.00041766546,0.00017879154,0.00008700585],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009881121,0.000207773,0.6242718,0.000089996,0.00031712052,0.00003884327,0.0067335926,0.0017472979,0.00020584905,0.107472,0.22934344,0.02858413],"study_design_scores_gemma":[0.0003372081,0.000031672964,0.028401455,0.000005282933,0.000007388682,0.000012872271,0.00017181522,0.0033458371,0.0000113813485,0.015412105,0.9520294,0.00023355917],"about_ca_topic_score_codex":0.0016502228,"about_ca_topic_score_gemma":0.000036115805,"teacher_disagreement_score":0.722686,"about_ca_system_score_codex":0.0003046991,"about_ca_system_score_gemma":0.000037018268,"threshold_uncertainty_score":0.99969155},"labels":[],"label_agreement":null},{"id":"W4311309554","doi":"10.1111/caje.12631","title":"Commercial‐to‐residential land‐use conversion and residential recentralization in large cities","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Real estate; Fell; Agricultural economics; Population; Residential real estate; Land use; Land price; Geography; Land Values; Natural resource economics; Residential area; Business; Economics; Finance; Engineering; Demography; Cartography; Civil engineering","score_opus":0.0920117319477821,"score_gpt":0.17861301757221418,"score_spread":0.08660128562443208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311309554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929084,0.00025545017,0.00009517576,0.002132478,0.00256308,0.0002717332,0.0006606609,0.0000063522302,0.0011066394],"genre_scores_gemma":[0.99767816,0.0003942773,0.00015416958,0.0010047433,0.0003173235,0.000015503203,0.000050752114,0.000057258723,0.0003278019],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974537,0.000079705314,0.0012603197,0.00042159884,0.0000028687139,0.0007818194],"domain_scores_gemma":[0.99782926,0.00010542398,0.0007224837,0.000287325,0.000053275344,0.0010022064],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015286623,0.00023634329,0.0007142951,0.0016873863,0.00039520624,0.0002976479,0.0004385036,0.0001284167,0.001168984],"category_scores_gemma":[0.00024187697,0.00037355028,0.00014420894,0.00021380011,0.00007751713,0.0007536122,0.000099683675,0.0004053892,0.00002916107],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025937078,0.000029507879,0.7181009,0.00004044342,0.00008435338,0.00015845208,0.0037363465,0.015416278,0.0000023357834,0.2575865,0.0038211283,0.000764379],"study_design_scores_gemma":[0.006948334,0.0010518307,0.24798532,0.00014711569,0.0000647249,0.00072954415,0.0030061258,0.013157125,0.000047033758,0.24547954,0.47918025,0.0022030526],"about_ca_topic_score_codex":0.2279663,"about_ca_topic_score_gemma":0.95185775,"teacher_disagreement_score":0.72389144,"about_ca_system_score_codex":0.002537749,"about_ca_system_score_gemma":0.00064089696,"threshold_uncertainty_score":0.9998717},"labels":[],"label_agreement":null},{"id":"W4311350542","doi":"10.3390/jrfm15120601","title":"Hedonic Models of Real Estate Prices: GAM Models; Environmental and Sex-Offender-Proximity Factors","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Generalized additive model; Generalized linear model; Econometrics; Residence; Variance (accounting); Contrast (vision); Real estate; Explained variation; Geography; Mathematics; Economics; Statistics; Computer science; Demographic economics","score_opus":0.022603630928420694,"score_gpt":0.18236477335581366,"score_spread":0.15976114242739298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311350542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9786925,0.0005803053,0.008965125,0.00002103542,0.0002830133,0.00014385143,0.000154701,0.000005648324,0.011153873],"genre_scores_gemma":[0.9480158,0.05083677,0.000979348,0.000020962803,0.000042499305,0.0000041772755,0.000004241335,0.000016483562,0.0000797376],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99872947,0.000024905403,0.0007210836,0.0002364102,0.000072481846,0.00021565962],"domain_scores_gemma":[0.998877,0.000036310325,0.00084596156,0.00014994798,0.000005922341,0.00008487714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008391082,0.00015230433,0.00046120476,0.00027520425,0.00021922356,0.000037060116,0.00017121987,0.000044286062,0.000044063443],"category_scores_gemma":[0.000006835341,0.00016787752,0.00011868161,0.00007529956,0.0000683402,0.00041646312,0.00026737573,0.00024061018,0.0000010712296],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007148684,0.0011058031,0.3446964,0.00035947093,0.00034734217,0.0000976818,0.020937031,0.08640862,0.000013886418,0.13942994,0.00051729754,0.40537167],"study_design_scores_gemma":[0.0057693436,0.001516658,0.2306032,0.000046302437,0.00025908338,0.00006189533,0.009044586,0.115931354,0.000029856741,0.5625724,0.07287132,0.0012939955],"about_ca_topic_score_codex":0.00019647295,"about_ca_topic_score_gemma":0.000017290035,"teacher_disagreement_score":0.42314246,"about_ca_system_score_codex":0.00014074476,"about_ca_system_score_gemma":0.00001486387,"threshold_uncertainty_score":0.6845846},"labels":[],"label_agreement":null},{"id":"W4311628236","doi":"10.3390/jrfm15120576","title":"Formation of Financial Real Estate Risks and Spatial Interactions: Evidence from 35 Cities in China","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Social Science Foundation of Shaanxi Province; China Postdoctoral Science Foundation; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Real estate; Real estate investment trust; Business; Real estate development; Local government; China; Revenue; Finance; Capitalization rate; Government (linguistics); Corporate Real Estate; Geography","score_opus":0.026874856632791776,"score_gpt":0.22861955168084755,"score_spread":0.20174469504805578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311628236","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9867817,0.000513389,0.009402576,0.000073974414,0.00062852626,0.00011069273,0.000093998664,0.000003317186,0.0023918333],"genre_scores_gemma":[0.9506355,0.048495926,0.00069948216,0.00001926617,0.0001122232,0.0000071753384,0.0000033995516,0.0000070212855,0.00002000605],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9988403,0.000038902293,0.00079770136,0.00014334306,0.00004816531,0.00013161085],"domain_scores_gemma":[0.998905,0.00007560963,0.0008771796,0.00009213927,0.0000149142115,0.000035129862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090669136,0.000096755495,0.0003506321,0.00040009138,0.00014129204,0.00004108527,0.0001153331,0.000028913331,0.000051746756],"category_scores_gemma":[0.00011805899,0.00011390848,0.00006651944,0.00012514142,0.00003883688,0.0004523587,0.00015181057,0.00024808513,0.0000015085349],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008588628,0.00011779904,0.29649088,0.0000798141,0.000016964368,0.000032141023,0.0075693317,0.0017453042,0.000004795217,0.002880395,0.0003353406,0.6898684],"study_design_scores_gemma":[0.0010719104,0.00027210137,0.9533293,0.000098670025,0.000027214612,0.0000094497,0.00065863,0.004697773,0.000011723956,0.02368089,0.01597375,0.00016853312],"about_ca_topic_score_codex":0.00587143,"about_ca_topic_score_gemma":0.0012589336,"teacher_disagreement_score":0.6896998,"about_ca_system_score_codex":0.00011830192,"about_ca_system_score_gemma":0.00001862925,"threshold_uncertainty_score":0.8875885},"labels":[],"label_agreement":null},{"id":"W4312062478","doi":"10.54338/27382656-2022.3-002","title":"Challenges to Residential Quarter Reconstruction: The Case of the Center of Yerevan City","year":2022,"lang":"en","type":"article","venue":"Journal of Architectural and Engineering Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Regional science; Strengths and weaknesses; Center (category theory); Geography; Environmental planning; Architectural engineering; Political science; Engineering; Archaeology; Psychology","score_opus":0.057537639426733456,"score_gpt":0.25822783477157474,"score_spread":0.20069019534484128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312062478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99393743,0.00058265706,0.000043544194,0.0035585456,0.0004528611,0.00007660135,0.00001437291,0.0000017834969,0.0013322241],"genre_scores_gemma":[0.9994733,0.00016033296,0.00017736989,0.00000890538,0.00013438743,0.000002540464,9.456654e-8,0.0000068883023,0.000036181213],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9992116,0.000051159277,0.00042066787,0.00009407971,0.000060912367,0.00016159182],"domain_scores_gemma":[0.99942845,0.0001482881,0.00016441781,0.0001624444,0.00004572619,0.000050691626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017674457,0.00005724198,0.0001958044,0.00024309954,0.0001498609,0.00002106499,0.00024403297,0.000018666065,0.00007222921],"category_scores_gemma":[0.00012997772,0.000039512746,0.00010053191,0.00016482765,0.00006689812,0.0000506033,0.00019650464,0.00043536685,8.4384885e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002150572,0.00050476706,0.086312264,0.001540839,0.0012573783,0.00044412533,0.059721984,0.17239614,0.0049898424,0.060095496,0.0045341034,0.6060525],"study_design_scores_gemma":[0.007284586,0.005817537,0.67320466,0.00089474005,0.00008929065,0.061925344,0.02620527,0.046136722,0.0038998255,0.08224195,0.09053302,0.0017670316],"about_ca_topic_score_codex":0.00009117825,"about_ca_topic_score_gemma":0.00005173972,"teacher_disagreement_score":0.6042855,"about_ca_system_score_codex":0.00004686398,"about_ca_system_score_gemma":0.000016857752,"threshold_uncertainty_score":0.18914765},"labels":[],"label_agreement":null},{"id":"W4312909666","doi":"10.4102/sajbm.v32i2.716","title":"The persistence of performance of South African unit trusts","year":2001,"lang":"en","type":"article","venue":"South African Journal of Business Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unit trust; Persistence (discontinuity); Equity (law); Unit (ring theory); Quarter (Canadian coin); Demographic economics; Economics; Demography; Actuarial science; Business; Mathematics; Monetary economics; Geography; Political science; Engineering; Sociology; Law","score_opus":0.035161387494537066,"score_gpt":0.1894016700606041,"score_spread":0.15424028256606703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312909666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9117684,0.00043350024,0.0016997244,0.00038800694,0.00052116317,0.00014616261,0.000019683404,0.0000075616813,0.085015826],"genre_scores_gemma":[0.9974939,0.0011488966,0.0005578764,0.00002116235,0.000096363554,0.0000030195795,9.599408e-7,0.000023265447,0.00065453077],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981018,0.000024079596,0.0012348699,0.00019613947,0.00010793824,0.00033522755],"domain_scores_gemma":[0.9971205,0.000050463404,0.0021071555,0.00041385234,0.00021931362,0.000088707784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013235669,0.00017523445,0.0005620927,0.00043803916,0.0001465039,0.000055684028,0.00068410713,0.000044566394,0.0000949659],"category_scores_gemma":[0.00008121265,0.00015144433,0.00019815634,0.0008272463,0.0002343968,0.00021562591,0.000124192,0.00014297073,0.000023979574],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002331981,0.0005806048,0.83372605,0.001025349,0.0014439919,0.00007597322,0.021268439,0.025869569,0.000016654412,0.030457484,0.00038456477,0.08281936],"study_design_scores_gemma":[0.0042262846,0.0007196919,0.81987447,0.0005115966,0.00032253345,0.00006705655,0.04924434,0.0057424074,0.00007598089,0.004882561,0.1132134,0.0011197107],"about_ca_topic_score_codex":0.000013524568,"about_ca_topic_score_gemma":0.0000041903077,"teacher_disagreement_score":0.11282883,"about_ca_system_score_codex":0.00007888335,"about_ca_system_score_gemma":0.000041262258,"threshold_uncertainty_score":0.61757207},"labels":[],"label_agreement":null},{"id":"W4313259919","doi":"10.3390/math11010113","title":"Imbalanced Multimodal Attention-Based System for Multiclass House Price Prediction","year":2022,"lang":"en","type":"article","venue":"Mathematics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Oversampling; Leverage (statistics); Machine learning; Artificial intelligence; Mechanism (biology); Competitor analysis; Inference; Context (archaeology); Data-driven; Categorical variable; Data mining","score_opus":0.023514102589063952,"score_gpt":0.20580882980323204,"score_spread":0.1822947272141681,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313259919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6861785,0.00007263487,0.29039598,0.00027900495,0.0021099632,0.0014172873,0.0011434112,0.0006739319,0.017729267],"genre_scores_gemma":[0.97700274,0.000003998676,0.021893809,0.000055281893,0.00010376234,0.00039610168,0.000049021477,0.00007626743,0.00041904545],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986999,0.000013691262,0.000658693,0.00030256304,0.000043983287,0.00028116273],"domain_scores_gemma":[0.9989722,0.00015338846,0.00044088342,0.00034589274,0.000027941998,0.000059725768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008316631,0.00014346959,0.0003474364,0.0001516278,0.00035773293,0.00006913901,0.00021600303,0.000057871443,0.00006958419],"category_scores_gemma":[0.000094890886,0.00018394877,0.0001637062,0.00013113768,0.000022446528,0.00009084086,0.00005967585,0.00011257241,0.00010870631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007137821,0.00604939,0.15085186,0.009685743,0.000925201,0.00002671292,0.010336764,0.21958086,0.0020234436,0.5771576,0.017102448,0.005546186],"study_design_scores_gemma":[0.0015717061,0.000086121436,0.0012248026,0.000019417717,0.000015467112,0.000005020151,0.0005930398,0.9844074,0.000062103805,0.0028878003,0.008885799,0.00024127866],"about_ca_topic_score_codex":0.000020280026,"about_ca_topic_score_gemma":0.00000368033,"teacher_disagreement_score":0.7648266,"about_ca_system_score_codex":0.00045885073,"about_ca_system_score_gemma":0.000021971437,"threshold_uncertainty_score":0.7501213},"labels":[],"label_agreement":null},{"id":"W4313357354","doi":"10.1007/s11146-022-09937-6","title":"Do Foreign Buyers Pay More Than Domestic Buyers? Evidence from International Transaction-Level Data","year":2022,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Real estate; Spillover effect; Business; Monetary economics; Database transaction; Real estate investment trust; Odds; Investment (military); Capital (architecture); Aggregate data; Economics; Finance; Microeconomics","score_opus":0.07864144747361325,"score_gpt":0.26388305742738816,"score_spread":0.18524160995377492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313357354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871876,0.0005336515,0.0014464476,0.0020812964,0.0014525031,0.00012345171,0.0012402368,0.000009731183,0.005925083],"genre_scores_gemma":[0.87900704,0.11935491,0.0009880511,0.0001367074,0.0002525305,0.0000049274963,0.000047372065,0.000031691,0.00017673998],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.998282,0.000042049116,0.0009903111,0.0003533544,0.000052167994,0.00028013077],"domain_scores_gemma":[0.997721,0.00036887295,0.0011996697,0.00058860134,0.000035471363,0.00008635398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020033023,0.00020316742,0.00048814024,0.00018309202,0.0003428363,0.00014973177,0.0012724192,0.00005821331,0.00021901564],"category_scores_gemma":[0.000073143965,0.00018067079,0.0001151851,0.00010293282,0.00012856613,0.0011818525,0.00028072734,0.00046559886,0.000025003545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004934041,0.0005078974,0.19067249,0.00009827452,0.0015323074,0.00015755322,0.022588784,0.3178261,0.000042771808,0.012851978,0.010000861,0.43878695],"study_design_scores_gemma":[0.006562061,0.0011858912,0.17602041,0.00026328253,0.0003610091,0.0014463898,0.015837535,0.35707706,0.00005761199,0.078953415,0.35993537,0.0022999556],"about_ca_topic_score_codex":0.0015097888,"about_ca_topic_score_gemma":0.00019914501,"teacher_disagreement_score":0.43648702,"about_ca_system_score_codex":0.0002752146,"about_ca_system_score_gemma":0.00012306115,"threshold_uncertainty_score":0.73675406},"labels":[],"label_agreement":null},{"id":"W4313519294","doi":"10.33423/jabe.v24i6.5750","title":"An Analysis of Profitability and Key Hurdles for the Housing Finance Sector in India","year":2022,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; Profitability index; Finance; Recession; Capitalization; Economics; Market capitalization; Business; Sample (material); Macroeconomics; Stock market","score_opus":0.01877865764372799,"score_gpt":0.20341423999902108,"score_spread":0.1846355823552931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313519294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99747914,0.00047264266,0.0008063016,0.00017488198,0.0002056601,0.00019533663,0.00011838301,0.0000025977636,0.00054503296],"genre_scores_gemma":[0.9971935,0.0014062562,0.0011998703,0.00008212582,0.00007128655,0.000019702486,0.0000067675683,0.00001754764,0.0000029455505],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986466,0.0000092744895,0.0009109393,0.00023746555,0.000017643964,0.0001780446],"domain_scores_gemma":[0.99852294,0.00016592452,0.0010326429,0.00020394547,0.000036583915,0.000037988844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016474657,0.00012361484,0.00069147046,0.00046644761,0.00018072025,0.00007878235,0.0002086849,0.00005279464,0.00003625449],"category_scores_gemma":[0.000026957423,0.00012273245,0.0000983352,0.00035409638,0.00009142732,0.00023602927,0.00008118475,0.00014657114,2.1669612e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011159953,0.00034365954,0.6108595,0.00015397856,0.00063711446,0.0000017703223,0.0031296194,0.25856727,0.00006740574,0.10393566,0.00002974305,0.02115825],"study_design_scores_gemma":[0.00117919,0.00009869829,0.86119443,0.0000057459915,0.00014211416,0.000005805616,0.0013400055,0.11353745,0.00001835456,0.017508091,0.0047116596,0.00025846466],"about_ca_topic_score_codex":0.000096572534,"about_ca_topic_score_gemma":0.00011659859,"teacher_disagreement_score":0.2503349,"about_ca_system_score_codex":0.0001230118,"about_ca_system_score_gemma":0.0000527616,"threshold_uncertainty_score":0.5004884},"labels":[],"label_agreement":null},{"id":"W4313529074","doi":"10.48550/arxiv.2301.00681","title":"Historical Patterns and Recent Impacts of Chinese Investors in United States Real Estate","year":2022,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; China; Business; Investment (military); Finance; Capital (architecture); Real estate investment trust; Geography; Politics","score_opus":0.06731951227588971,"score_gpt":0.1813341500336281,"score_spread":0.11401463775773839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313529074","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898256,0.00007327075,0.00014622191,0.00009482698,0.00052834104,0.0001708347,0.00019946566,0.000032410037,0.008929049],"genre_scores_gemma":[0.94252056,0.056928918,0.00003734309,0.00003052415,0.000024673598,0.0000010910884,0.00014606898,0.000031940624,0.00027885797],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984339,0.00005841565,0.0005307163,0.0006695705,0.000016139586,0.00029128202],"domain_scores_gemma":[0.99867404,0.00008708275,0.00061140413,0.0004495636,0.00002670458,0.00015120133],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005036925,0.00025350426,0.00064699247,0.000981304,0.0000616107,0.000028174492,0.00033530383,0.00017882201,0.00023148253],"category_scores_gemma":[0.00006995073,0.0003465053,0.00011153518,0.00051559426,0.000063101834,0.00013529861,0.0006782485,0.0004944876,0.0000068368045],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008909843,0.00010315038,0.95189935,0.00015206392,0.000047521993,0.00005942783,0.0012150793,0.042761967,5.356341e-7,0.0033206032,0.00007336465,0.00027785855],"study_design_scores_gemma":[0.0025154557,0.00026188904,0.71733135,0.00011114278,0.00004753546,0.0000041107673,0.0008516678,0.14566599,0.0000036588513,0.099898934,0.03176787,0.0015403937],"about_ca_topic_score_codex":0.031133385,"about_ca_topic_score_gemma":0.0019899688,"teacher_disagreement_score":0.23456798,"about_ca_system_score_codex":0.0016137484,"about_ca_system_score_gemma":0.00006462909,"threshold_uncertainty_score":0.9998987},"labels":[],"label_agreement":null},{"id":"W4313592508","doi":"10.1080/10511482.2022.2157219","title":"Yes or Not in My Backyard (YIMBY vs. NIMBY)? The Impact of New Social Housing Construction on Single-Family House Prices in Quebec City (Canada)","year":2023,"lang":"en","type":"article","venue":"Housing Policy Debate","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Rimouski; Université Laval","funders":"Ville de Québec","keywords":"NIMBY; Population; Public housing; Argument (complex analysis); Economics; Business; Economic growth; Sociology; Engineering; Demography","score_opus":0.07414902545118525,"score_gpt":0.27562164102879055,"score_spread":0.20147261557760532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313592508","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910774,0.000030015712,0.000050599087,0.0015296829,0.00042124305,0.00024593988,0.000075326854,0.00011423008,0.0064555444],"genre_scores_gemma":[0.9983353,0.0002474589,0.00019188737,0.00044825592,0.00043649602,0.000006146009,0.000007936415,0.00009349238,0.00023303299],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99766666,0.00004909704,0.000979264,0.00047920973,0.000092308546,0.00073344656],"domain_scores_gemma":[0.99866635,0.00023161985,0.0006292816,0.00034350003,0.000025584408,0.00010367272],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007098606,0.0003191955,0.0007319307,0.00092298846,0.00021501297,0.0001994691,0.00032993793,0.00019236514,0.000039592633],"category_scores_gemma":[0.00030072324,0.00029629513,0.00018428432,0.0014204463,0.00017809613,0.00029419118,0.00010992804,0.00028351953,0.00003840075],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0040910617,0.0006195443,0.75685775,0.00030369093,0.00039989167,0.00015547035,0.018057562,0.05422546,0.0009134369,0.015834758,0.020065699,0.12847568],"study_design_scores_gemma":[0.0026309802,0.0002240181,0.97319937,0.00018580303,0.000016165732,0.000008961938,0.00083986664,0.009257608,0.00053513725,0.0054415134,0.006683681,0.0009769094],"about_ca_topic_score_codex":0.88176805,"about_ca_topic_score_gemma":0.8348478,"teacher_disagreement_score":0.21634161,"about_ca_system_score_codex":0.0018594594,"about_ca_system_score_gemma":0.0013029889,"threshold_uncertainty_score":0.9999489},"labels":[],"label_agreement":null},{"id":"W4316037789","doi":"10.3390/jrfm16010046","title":"The Impact of the 2008 Financial Crisis on Lisbon’s Housing Prices","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; Financial crisis; Bailout; Economics; Deconstruction (building); Interest rate; Finance; Financial system; Macroeconomics","score_opus":0.014548763084395356,"score_gpt":0.21883027915588485,"score_spread":0.2042815160714895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316037789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99059963,0.0008360506,0.0007433241,0.0005030072,0.0013055396,0.00016676985,0.0000431739,0.000010147586,0.0057923296],"genre_scores_gemma":[0.9816156,0.017746275,0.00013169674,0.00006246523,0.0003058536,0.0000026969221,4.5895482e-7,0.000014968286,0.000119988465],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9987876,0.0000237794,0.0007093423,0.00015306819,0.000064144646,0.00026206224],"domain_scores_gemma":[0.9985268,0.00015728809,0.0009914782,0.00023746796,0.00003670572,0.00005025693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014063297,0.0001363321,0.00034222196,0.0002490679,0.00038927168,0.000096865675,0.00032585853,0.00006544025,0.000011698895],"category_scores_gemma":[0.00037234178,0.00008848713,0.00032851947,0.00041404483,0.00007015053,0.00013129493,0.00013516215,0.00022768413,0.000023703782],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008071923,0.00031552065,0.3160268,0.00011972759,0.00025498838,0.00005535469,0.0031236657,0.0100061605,0.000004583862,0.093526214,0.16320452,0.41255525],"study_design_scores_gemma":[0.00067282177,0.00021413677,0.82361686,0.000055563432,0.000031216096,0.0000037112247,0.00019690982,0.00044525883,0.000009999047,0.04080094,0.1337867,0.0001658663],"about_ca_topic_score_codex":0.00017551308,"about_ca_topic_score_gemma":0.00005012585,"teacher_disagreement_score":0.50759006,"about_ca_system_score_codex":0.00009728775,"about_ca_system_score_gemma":0.000037207064,"threshold_uncertainty_score":0.36084005},"labels":[],"label_agreement":null},{"id":"W4317000458","doi":"10.5430/afr.v12n1p13","title":"Endowment Structure, Industrial Structure, and the Fluctuation of Urban-rural Income Gap——An Analysis of New Structural Economics","year":2023,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Endowment; Economics; China; Point (geometry); Index (typography); Panel data; Factor endowment; Demographic economics; Econometrics; Economic growth; Geography; Developing country","score_opus":0.07689599363415031,"score_gpt":0.2985380515979165,"score_spread":0.2216420579637662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317000458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980909,0.00044154932,0.000016093856,0.00017196474,0.00022001553,0.00026187106,0.00021486568,0.0000140965785,0.0005686327],"genre_scores_gemma":[0.99763304,0.0017932266,0.00014069249,0.000012422027,0.00021978193,0.000005030186,0.000075847885,0.00002046794,0.00009950821],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982001,0.00006451652,0.0008164801,0.0004034789,0.00008792922,0.0004274972],"domain_scores_gemma":[0.9985649,0.00036100796,0.0005115505,0.00042181008,0.00008406566,0.000056666555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021045902,0.00016901549,0.00071564363,0.0009069983,0.000257513,0.00016430808,0.0003338798,0.00017609865,0.000060510603],"category_scores_gemma":[0.0003598459,0.00015186788,0.000100478544,0.0011954696,0.00042460498,0.0004026725,0.00022835688,0.00034262383,0.0000032361281],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000363881,0.000011278404,0.69831693,0.00005796981,0.00046391867,6.970225e-7,0.0034202526,0.0051526036,0.000082157065,0.25316975,0.00017337722,0.03878719],"study_design_scores_gemma":[0.003233792,0.000121112294,0.536982,0.00003356819,0.000109193265,0.000003303589,0.0008504122,0.21890552,0.00036305856,0.23801282,0.0010025449,0.00038269383],"about_ca_topic_score_codex":0.0039287005,"about_ca_topic_score_gemma":0.0004662319,"teacher_disagreement_score":0.21375293,"about_ca_system_score_codex":0.0000729562,"about_ca_system_score_gemma":0.000077436256,"threshold_uncertainty_score":0.6192992},"labels":[],"label_agreement":null},{"id":"W4317517301","doi":"10.3390/jrfm16020061","title":"Housing Price and Interest Rate Hike: A Tale of Five Cities in Australia","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Interest rate; Economics; Inflation (cosmology); Stock (firearms); Monetary economics; Portfolio; Momentum (technical analysis); Investment (military); Agricultural economics; Demographic economics; Finance; Geography","score_opus":0.030195464120705947,"score_gpt":0.22758842164282128,"score_spread":0.19739295752211533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317517301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99671894,0.00029648165,0.0007514801,0.0000824785,0.0003459019,0.00007440596,0.000021499389,0.0000046219257,0.0017041604],"genre_scores_gemma":[0.9886439,0.010542471,0.00041781054,0.000020953898,0.00007171149,0.0000014248966,8.702009e-7,0.000008527517,0.00029232175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990842,0.000014926884,0.0005901602,0.00012921034,0.000018465871,0.00016306975],"domain_scores_gemma":[0.99932945,0.000048785496,0.00049057027,0.00007472124,0.0000162541,0.000040204963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010062334,0.00008874166,0.00033962895,0.00051099574,0.00004440067,0.000045609402,0.00008547548,0.00004719995,0.0000156973],"category_scores_gemma":[0.00008516402,0.000097532065,0.0000539567,0.0002208207,0.00005707675,0.00017759162,0.00009269536,0.00012885225,0.000009665093],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059607235,0.00021091553,0.7219051,0.0007776803,0.00013386553,0.0003106613,0.009423256,0.0014769296,0.000022786478,0.10381673,0.0041051325,0.15722087],"study_design_scores_gemma":[0.0015097571,0.00015319927,0.89019054,0.00018462211,0.000024175642,0.000007102029,0.0010699527,0.0009366657,0.00001832485,0.07855098,0.027124932,0.00022974328],"about_ca_topic_score_codex":0.0001690262,"about_ca_topic_score_gemma":0.00012456861,"teacher_disagreement_score":0.16828544,"about_ca_system_score_codex":0.000039595085,"about_ca_system_score_gemma":0.0000071197,"threshold_uncertainty_score":0.3977242},"labels":[],"label_agreement":null},{"id":"W4318052502","doi":"10.3390/jrfm16020073","title":"A Natural Quasi-Experiment of the Monetary Policy Shocks on the Housing Markets of New Zealand during COVID-19","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ceteris paribus; Monetary policy; Economics; Monetary economics; Interest rate; Coronavirus disease 2019 (COVID-19); Natural experiment","score_opus":0.01682315313230345,"score_gpt":0.22642977049160942,"score_spread":0.20960661735930597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318052502","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99529946,0.00056205504,0.00023333218,0.0016998802,0.00051780685,0.00016279847,0.000018136792,0.000006222191,0.0015002928],"genre_scores_gemma":[0.99351937,0.0054958323,0.000109137356,0.00019936448,0.000231934,0.000001700694,5.8995647e-7,0.000012898301,0.000429161],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99885464,0.000033630975,0.0006896288,0.00014662108,0.00007235621,0.00020314948],"domain_scores_gemma":[0.99871916,0.000101009726,0.0008598053,0.00022616539,0.000015650756,0.00007818553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009824827,0.00012473941,0.00035874563,0.00035805127,0.0001846278,0.00003303242,0.00026866063,0.000048211292,0.000020576796],"category_scores_gemma":[0.00025849757,0.000089613015,0.00018908447,0.00034672063,0.00006791215,0.00008002402,0.00015972443,0.00019289873,0.000004561119],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031169301,0.0006649967,0.71255654,0.0006600917,0.0006115403,0.00009793921,0.018866278,0.010042571,0.00011698537,0.095678926,0.03230247,0.12528473],"study_design_scores_gemma":[0.0019486219,0.00017892118,0.9108369,0.00013294136,0.000046834994,0.00000988449,0.00068447605,0.000846981,0.00017375793,0.030040154,0.05486911,0.00023145968],"about_ca_topic_score_codex":0.0005813656,"about_ca_topic_score_gemma":0.000048334165,"teacher_disagreement_score":0.19828032,"about_ca_system_score_codex":0.00011921212,"about_ca_system_score_gemma":0.00005762395,"threshold_uncertainty_score":0.36543128},"labels":[],"label_agreement":null},{"id":"W4318173882","doi":"10.1093/ej/uead008","title":"Location, Location, Location: Manufacturing and House Price Growth","year":2023,"lang":"en","type":"article","venue":"The Economic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Social Sciences and Humanities Research Council of Canada; HEC Montréal","keywords":"Counterfactual thinking; House price; Economics; Value (mathematics); Inequality; Labour economics; Monetary economics","score_opus":0.02232488820794493,"score_gpt":0.2043275484911482,"score_spread":0.18200266028320328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318173882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9613812,0.0013525169,0.0060443226,0.008218472,0.002151256,0.00028122548,0.0000108542,0.00023124547,0.020328932],"genre_scores_gemma":[0.9949259,0.0026369446,0.00013111271,0.0003509223,0.0008673546,0.000013279489,0.0000050082754,0.00006136028,0.001008105],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984179,0.00002984446,0.00080266094,0.0003293898,0.000025513653,0.00039466863],"domain_scores_gemma":[0.9987523,0.00013280033,0.0005545266,0.00035755514,0.000060297425,0.00014249637],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019265033,0.00018712236,0.00030435558,0.0003012223,0.0005737713,0.00041850825,0.00040794056,0.000089094334,0.00023326767],"category_scores_gemma":[0.000116234696,0.00018759561,0.00006198152,0.00021643071,0.00011159788,0.00057666167,0.00010205331,0.00028318545,0.004014185],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025685786,0.00017818839,0.17813726,0.00065220287,0.0010972312,0.000033940672,0.014766128,0.15018728,0.000019730538,0.47955656,0.13791667,0.037197944],"study_design_scores_gemma":[0.0028626034,0.00013889874,0.3530815,0.00015427849,0.00006133903,0.0007603103,0.0017047464,0.078126214,0.000454623,0.41948953,0.14149566,0.0016703049],"about_ca_topic_score_codex":0.00012221817,"about_ca_topic_score_gemma":0.000041283834,"teacher_disagreement_score":0.17494424,"about_ca_system_score_codex":0.0004338214,"about_ca_system_score_gemma":0.00013260129,"threshold_uncertainty_score":0.9967613},"labels":[],"label_agreement":null},{"id":"W4318476298","doi":"10.2478/bjreecm-2023-0001","title":"Comparative Analysis of the Indian and Canadian Real Estate Markets","year":2023,"lang":"en","type":"article","venue":"Baltic Journal of Real Estate Economics and Construction Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Seneca Polytechnic","funders":"","keywords":"Real estate; Real estate investment trust; Index (typography); Financial crisis; Capitalization rate; Corporate Real Estate; Business; Capital (architecture); Capital market; Economy; Finance; Economics; Geography; Macroeconomics","score_opus":0.015891005105197045,"score_gpt":0.21220736114760433,"score_spread":0.19631635604240727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318476298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9043149,0.00001538567,0.000015807242,0.0003768797,0.00045450608,0.00012285427,0.000098206794,0.000005284361,0.094596185],"genre_scores_gemma":[0.8887671,0.110562526,0.00049700635,0.00002583007,0.000027463853,0.0000023010746,0.000007825754,0.000009569755,0.00010038142],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99861896,0.000029755247,0.0008550022,0.00022061383,0.000025575235,0.00025011535],"domain_scores_gemma":[0.99864984,0.000056041004,0.00088543416,0.00018907269,0.000035926332,0.0001836634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008717685,0.00014009204,0.0005699699,0.0010714731,0.00015314162,0.000102431135,0.00016260498,0.0000538279,0.000038220318],"category_scores_gemma":[0.000009244744,0.00013915471,0.00014347654,0.00044222004,0.00019816667,0.00019052158,0.00007903181,0.00011219588,0.000007482546],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016115844,0.0000405203,0.40320277,0.0001367655,0.004495437,0.00004182929,0.0057099964,0.009167682,0.0000021222404,0.10899068,0.00038268854,0.46766835],"study_design_scores_gemma":[0.0010932726,0.00007345092,0.919392,0.000029510658,0.00043475736,0.00005561769,0.0071621877,0.033877186,0.000005423743,0.008010794,0.029528359,0.0003374253],"about_ca_topic_score_codex":0.011471496,"about_ca_topic_score_gemma":0.02282139,"teacher_disagreement_score":0.5161892,"about_ca_system_score_codex":0.00017151417,"about_ca_system_score_gemma":0.000067867404,"threshold_uncertainty_score":0.9951112},"labels":[],"label_agreement":null},{"id":"W4318775146","doi":"10.3390/jrfm16020084","title":"Estate Planning Behaviour: A Systematic Literature Review","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Estate planning; Estate; Systematic review; Real estate; Context (archaeology); Business; Financial plan; Protocol (science); Actuarial science; Computer science; Accounting; Finance; Political science; Medicine; Geography; MEDLINE","score_opus":0.015834907222114114,"score_gpt":0.22195002529381938,"score_spread":0.20611511807170527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318775146","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50293493,0.41971827,0.017065682,0.0011681822,0.0055005765,0.0019690972,0.00021683401,0.00016167732,0.051264737],"genre_scores_gemma":[0.22632644,0.77215755,0.00071428425,0.0002357543,0.00017483396,0.000011751575,0.000005484632,0.000021112633,0.00035278284],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987196,0.000023146089,0.00086993945,0.00015184541,0.00004016821,0.00019531041],"domain_scores_gemma":[0.9989148,0.00004302941,0.00079549314,0.00014762495,0.000028868037,0.00007018439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017608284,0.000121415556,0.00058169494,0.00040196875,0.000101479796,0.00010071853,0.00014967393,0.000049936425,0.000011566493],"category_scores_gemma":[0.00015831596,0.000115817966,0.00014506279,0.00038659354,0.00001711931,0.00019363775,0.00006761005,0.00019002007,0.000073567004],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002876333,0.00037952335,0.2937347,0.27517238,0.0004906763,0.0045341365,0.013386471,0.000953303,0.000001247689,0.099089906,0.07757057,0.23439947],"study_design_scores_gemma":[0.004249006,0.0006657754,0.31507865,0.21566519,0.0009838039,0.00047572504,0.0012224464,0.0021172222,0.0000031272039,0.07415531,0.3835312,0.0018525366],"about_ca_topic_score_codex":0.0000043083655,"about_ca_topic_score_gemma":0.0000016442298,"teacher_disagreement_score":0.35243928,"about_ca_system_score_codex":0.000039306135,"about_ca_system_score_gemma":0.0000064321807,"threshold_uncertainty_score":0.47229195},"labels":[],"label_agreement":null},{"id":"W4319166324","doi":"10.1016/j.inffus.2023.02.001","title":"RHPMF: A context-aware matrix factorization approach for understanding regional real estate market","year":2023,"lang":"en","type":"article","venue":"Information Fusion","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"University of British Columbia; Mitacs","keywords":"Real estate; Context (archaeology); Computer science; House price; Distribution (mathematics); Econometrics; Data science; Finance; Economics; Geography; Mathematics","score_opus":0.08131658110650937,"score_gpt":0.24583159503453844,"score_spread":0.16451501392802909,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319166324","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028537646,0.0000071417876,0.6664502,0.00052744604,0.00069108774,0.0007362105,0.00036696877,0.00035020584,0.30233312],"genre_scores_gemma":[0.9936673,0.001420905,0.0014912094,0.00015707932,0.000127539,0.000068717556,0.0021086875,0.000027634127,0.00093094085],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988612,0.000009496026,0.00064420747,0.00017364131,0.000045602297,0.00026585866],"domain_scores_gemma":[0.9992349,0.00008466428,0.00041216402,0.00015963154,0.000042482232,0.000066157525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007146586,0.0001331918,0.00022038743,0.00044282168,0.00027546237,0.0001788055,0.00012459708,0.00013424609,0.00015209719],"category_scores_gemma":[0.00005588227,0.00015892951,0.000096579344,0.0003082747,0.000026608974,0.0012117185,0.00004783379,0.00007564191,0.00032516458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008570505,0.00010994847,0.029080763,0.0008729816,0.00013634778,0.0000014716181,0.015851283,0.010427133,0.000029176636,0.6491538,0.19810668,0.09537335],"study_design_scores_gemma":[0.0015084834,0.00006319901,0.0046660956,0.000022389413,0.0000067823603,0.0000034676264,0.0037521843,0.7313824,0.0000076280003,0.021155227,0.23700827,0.0004238289],"about_ca_topic_score_codex":0.00012875849,"about_ca_topic_score_gemma":0.000014404008,"teacher_disagreement_score":0.9651296,"about_ca_system_score_codex":0.0003166917,"about_ca_system_score_gemma":0.000030960622,"threshold_uncertainty_score":0.6480958},"labels":[],"label_agreement":null},{"id":"W4319598564","doi":"10.3390/land12020434","title":"Why Did the “Missing Middle” Miss the Train? An Actors-In-Systems Exploration of Barriers to Intensified Family Housing in Waterloo Region, Canada","year":2023,"lang":"en","type":"article","venue":"Land","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo; Social Sciences and Humanities Research Council of Canada; McGill University","keywords":"Real estate; Stakeholder; Business; Affordable housing; Subdivision; Leverage (statistics); Public housing; Marketing; Finance; Economic growth; Economics","score_opus":0.08900429162560572,"score_gpt":0.21527335287248106,"score_spread":0.12626906124687534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319598564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99292773,0.000064109605,0.00014488939,0.004552834,0.0006265299,0.00022432546,0.000016075175,0.000015798254,0.0014277356],"genre_scores_gemma":[0.9988946,0.00005604029,0.000009546262,0.00083088846,0.0000731794,0.000014098288,0.0000121631365,0.000021447846,0.00008805179],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99895525,0.0000460289,0.00047984894,0.00022754502,0.000031048257,0.00026029375],"domain_scores_gemma":[0.99937475,0.000087261506,0.00014464471,0.00029299952,0.000019257359,0.00008111014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007792054,0.00010608043,0.00027337336,0.00015960347,0.00011002241,0.000103086924,0.00020656973,0.000054686876,0.0000050937533],"category_scores_gemma":[0.00014149613,0.00008180997,0.000029614379,0.00035904307,0.000029382927,0.00021742433,0.000029805466,0.00010775467,0.0000049303644],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028970125,0.000053886877,0.82977986,0.00016903342,0.00007970942,0.00009190177,0.092138514,0.056095876,0.00041634182,0.0044457694,0.01038714,0.006052274],"study_design_scores_gemma":[0.0034893958,0.00023418923,0.456059,0.00055096403,0.000026631395,0.000017943315,0.11156157,0.21710087,0.00035031396,0.015814308,0.19297442,0.0018203887],"about_ca_topic_score_codex":0.43517846,"about_ca_topic_score_gemma":0.6451743,"teacher_disagreement_score":0.37372085,"about_ca_system_score_codex":0.00014261504,"about_ca_system_score_gemma":0.000077054814,"threshold_uncertainty_score":0.5685827},"labels":[],"label_agreement":null},{"id":"W4319710301","doi":"10.58886/jfi.v12i1.2295","title":"Is Renting Better? A Review of the Home Ownership Decision amid Increasing Risk","year":2013,"lang":"en","type":"review","venue":"Journal of Finance Issues","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Renting; Economic rent; Real estate; Valuation (finance); Business; Lease; Equity (law); Cash flow; Actuarial science; Economics; Capitalization rate; Finance; Real estate investment trust; Microeconomics","score_opus":0.0693510936098132,"score_gpt":0.3004618133976025,"score_spread":0.23111071978778927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319710301","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003981331,0.99226725,0.000042561456,0.0003597526,0.0012234383,0.0003418306,0.00006926194,0.0000059987524,0.0017085464],"genre_scores_gemma":[0.0002898452,0.9955482,0.003125786,0.00016972102,0.0005737544,0.000007134501,0.0000023291384,0.0000648622,0.00021836968],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99546576,0.00016851851,0.003554829,0.00035233796,0.000111269976,0.00034730218],"domain_scores_gemma":[0.9878826,0.00044434442,0.010719455,0.0007414313,0.00014642303,0.0000657434],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0039883163,0.00040771163,0.0035534536,0.0003663131,0.00013240766,0.000117509924,0.0011071708,0.00028651956,0.00027606628],"category_scores_gemma":[0.0014728825,0.00029170248,0.001619482,0.00048541094,0.00009752926,0.00040678208,0.00019414598,0.00083385775,0.00018779529],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006751782,0.00003508437,0.0024761322,0.019246627,0.00013100244,0.0000035845203,0.00009942972,0.0000012669275,4.4297156e-8,0.00017607592,0.0068307514,0.9709932],"study_design_scores_gemma":[0.00013006687,0.000036712496,0.00040703136,0.15341115,0.00020309066,0.000063755135,0.0000073451665,0.000013365485,0.0000010492225,0.004542059,0.8409013,0.00028304785],"about_ca_topic_score_codex":0.00013202756,"about_ca_topic_score_gemma":0.0000041144904,"teacher_disagreement_score":0.9707102,"about_ca_system_score_codex":0.00023258825,"about_ca_system_score_gemma":0.00012109564,"threshold_uncertainty_score":0.9999535},"labels":[],"label_agreement":null},{"id":"W4319729343","doi":"10.3905/pa.2023.pa536","title":"Practical Applications of Climate Risk and Real Estate Prices: What Do We Know?","year":2023,"lang":"en","type":"article","venue":"Practical Applications","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Real estate; Climate risk; Portfolio; Government (linguistics); Climate change; Property (philosophy); Economics; Business; Financial economics; Actuarial science; Finance","score_opus":0.04277725244215284,"score_gpt":0.3077934665513754,"score_spread":0.26501621410922255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319729343","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034422446,0.0029341248,0.4590312,0.048665334,0.0004960995,0.0051732007,0.0014688139,0.001073302,0.44673547],"genre_scores_gemma":[0.085084595,0.8820772,0.030992854,0.00006152074,0.00017786848,0.001301885,0.000081438804,0.00005811311,0.00016449876],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99817765,0.000030523337,0.00077543984,0.0005765496,0.000050290473,0.00038952974],"domain_scores_gemma":[0.9973869,0.0011171135,0.0006514653,0.00059044565,0.00005989253,0.0001942025],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010951833,0.00016858362,0.00037062654,0.00023688158,0.00028770597,0.00025762664,0.00015783965,0.00014776869,0.00015646036],"category_scores_gemma":[0.00023228112,0.00019788236,0.000087245266,0.0006936924,0.00019721691,0.00089961826,0.00018528731,0.0002957668,0.0022098152],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035125257,0.00033498707,0.010688812,0.00012419884,0.00006613759,0.0000016061985,0.00038962645,0.000028135119,0.000011434138,0.5890798,0.0008781461,0.398362],"study_design_scores_gemma":[0.00030347364,0.00003858919,0.0033801415,0.00002012491,0.000052673313,0.000014356391,0.0008602522,0.005783042,0.000019230307,0.0892446,0.8999891,0.0002944041],"about_ca_topic_score_codex":0.000110915775,"about_ca_topic_score_gemma":0.000031691605,"teacher_disagreement_score":0.899111,"about_ca_system_score_codex":0.000057682948,"about_ca_system_score_gemma":0.000053068437,"threshold_uncertainty_score":0.9985671},"labels":[],"label_agreement":null},{"id":"W4319831747","doi":"10.1080/09613218.2022.2162475","title":"High-rise apartment quality evaluation and related demographic factors: lesson from RentSafeTO programme","year":2023,"lang":"en","type":"article","venue":"Building Research & Information","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Apartment; Occupancy; Quality (philosophy); Public housing; Census; Immigration; Business; Urbanization; Government (linguistics); High rise; Post-occupancy evaluation; Geography; Economic growth; Environmental health; Engineering; Civil engineering; Architectural engineering; Economics; Medicine; Population","score_opus":0.1566959630311015,"score_gpt":0.3593599703364198,"score_spread":0.2026640073053183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319831747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942781,0.00014587594,0.00017740713,0.0005460748,0.00037019892,0.00067662046,0.000103414146,0.00014954942,0.0035527886],"genre_scores_gemma":[0.9978187,0.00075493567,0.00047529055,0.000013740861,0.000050754003,0.00010551675,0.00070762896,0.000015732534,0.000057699435],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99790853,0.00013438263,0.0009186274,0.00029551788,0.00021350694,0.00052942114],"domain_scores_gemma":[0.9987284,0.00028960887,0.000348263,0.00033279258,0.0001604637,0.00014048567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009502123,0.00013909042,0.00027321224,0.0009319532,0.00038120267,0.000430427,0.00018724873,0.00016803143,0.00015645122],"category_scores_gemma":[0.0013392774,0.00015766568,0.00006939305,0.00085567764,0.00008880508,0.0014933678,0.0001472794,0.0002890003,0.0005646115],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027171805,0.00016208833,0.5244214,0.00025214208,0.00023462129,0.0000014432909,0.0099351015,0.0026741212,0.00021194943,0.15498644,0.0035176708,0.30333135],"study_design_scores_gemma":[0.0020258436,0.0001736097,0.7128752,0.000088538036,0.00001371721,6.9163866e-7,0.001158832,0.0853411,0.00022157014,0.17350301,0.024127886,0.00047002643],"about_ca_topic_score_codex":0.0025478203,"about_ca_topic_score_gemma":0.00005697254,"teacher_disagreement_score":0.3028613,"about_ca_system_score_codex":0.00035290144,"about_ca_system_score_gemma":0.000046962996,"threshold_uncertainty_score":0.7257127},"labels":[],"label_agreement":null},{"id":"W4320151292","doi":"10.32721/ctj.2022.70.4.pf.davidoff","title":"Policy Forum: The Prevalence of Low Income Tax Payments Among Owners of Expensive Homes in Vancouver and Toronto","year":2022,"lang":"en","type":"article","venue":"Canadian Tax Journal/Revue fiscale canadienne","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Property tax; Demographic economics; Payment; Income tax; Income elasticity of demand; Labour economics; Economics; Value (mathematics); Business; Public economics; Geography; Tax reform; Finance; Statistics","score_opus":0.008841714206143748,"score_gpt":0.17858317434393955,"score_spread":0.1697414601377958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320151292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98744655,0.0012946887,0.000008587487,0.0022206022,0.000835567,0.00026515636,0.0011540755,0.0000030381736,0.006771739],"genre_scores_gemma":[0.9934249,0.00093852537,0.00004969874,0.00022584113,0.000097511576,0.000027361762,0.0000055236574,0.000031995423,0.005198621],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981178,0.000055382727,0.0008110552,0.00029195828,0.000036696132,0.00068709283],"domain_scores_gemma":[0.9982057,0.00007774189,0.00076548837,0.00036354281,0.000048186717,0.0005393023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084060983,0.00017774692,0.00050297246,0.00053814356,0.0002711142,0.00003705638,0.00051500474,0.00008090038,0.0007737219],"category_scores_gemma":[0.00021035457,0.00019078728,0.00011237418,0.00029758608,0.0001682898,0.00031829753,0.00010772448,0.00033107057,0.0000018215272],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033295033,0.000033800203,0.9703431,0.00026337357,0.000089726236,0.000071400566,0.007954469,0.0010458283,0.0000074465497,0.0027933242,0.013192657,0.004171558],"study_design_scores_gemma":[0.0029172394,0.0005375743,0.86182284,0.00037572833,0.000048486898,0.00026400192,0.022611532,0.004580124,0.000046704376,0.023144746,0.0823348,0.0013162006],"about_ca_topic_score_codex":0.63886297,"about_ca_topic_score_gemma":0.9821292,"teacher_disagreement_score":0.34326628,"about_ca_system_score_codex":0.002302307,"about_ca_system_score_gemma":0.00030737702,"threshold_uncertainty_score":0.8471712},"labels":[],"label_agreement":null},{"id":"W4321333652","doi":"10.2139/ssrn.4360423","title":"Housing Price and Fundamentals in a Transition Economy: The Case of the Beijing Market","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Toronto","funders":"","keywords":"Beijing; Economics; Transition (genetics); Market economy; Transition economy; Business; Economic system; China; Political science","score_opus":0.01336022648441465,"score_gpt":0.20541720798389523,"score_spread":0.19205698149948058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321333652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860287,0.0008149001,0.00035429045,0.0019792898,0.00016149569,0.00013227717,0.0000074771224,0.0000100933985,0.01051151],"genre_scores_gemma":[0.99631447,0.003283469,0.000012830492,0.00011548252,0.000074273215,0.0000041164285,6.759381e-7,0.00001774395,0.00017693383],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998519,0.000046091503,0.0004556134,0.00016304772,0.000011454865,0.0008048101],"domain_scores_gemma":[0.9994415,0.00008793356,0.00028347506,0.00015061467,0.00000888082,0.000027616114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003621596,0.00009621719,0.00020648536,0.0001752102,0.00025296633,0.000083266445,0.00015508413,0.00005209361,0.00003697114],"category_scores_gemma":[0.000039378898,0.00007845466,0.0000896593,0.00028419608,0.00006517244,0.00020981122,0.00004385589,0.000588602,0.00001051257],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002419219,0.00017057145,0.15984786,0.00013569115,0.00042322214,0.000121289,0.009419085,0.0027799152,0.000098701064,0.74200827,0.0006139918,0.0841395],"study_design_scores_gemma":[0.0014748669,0.00010864365,0.011490029,0.00006359253,0.0000233427,0.00227413,0.00964208,0.025860244,0.000029790552,0.94497144,0.003714902,0.0003469623],"about_ca_topic_score_codex":0.0002585857,"about_ca_topic_score_gemma":0.0024785122,"teacher_disagreement_score":0.20296317,"about_ca_system_score_codex":0.000488719,"about_ca_system_score_gemma":0.00017492381,"threshold_uncertainty_score":0.3199288},"labels":[],"label_agreement":null},{"id":"W4321448461","doi":"10.1086/720904","title":"Why Did Firms Practice Segregation? Evidence from Movie Theaters during Jim Crow","year":2022,"lang":"en","type":"article","venue":"The Journal of Law and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Fell; Revenue; Supreme court; Mandate; Profit (economics); Desegregation; For profit; White (mutation); Business; Marketing; Advertising; Economics; Political science; Law; Finance","score_opus":0.03127274306065225,"score_gpt":0.22126564743622762,"score_spread":0.18999290437557537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321448461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97618234,0.0026489948,0.00017528317,0.0070590354,0.0008539432,0.00009958575,0.00006194636,0.000009722591,0.012909157],"genre_scores_gemma":[0.98893327,0.0068994137,0.00049460435,0.0032810827,0.00024790282,0.0000041026424,0.000002845698,0.000029921968,0.000106854975],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998592,0.00008053255,0.0008580236,0.00020159324,0.000031373856,0.0002364698],"domain_scores_gemma":[0.99788064,0.00053233124,0.0011538744,0.0003056267,0.000030291048,0.00009725814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020560876,0.00015300073,0.00040112832,0.00009883426,0.0006000037,0.00018890994,0.00043741518,0.000046162153,0.0004144489],"category_scores_gemma":[0.00010903171,0.00014670797,0.000121483485,0.000058963567,0.000103696315,0.0011703364,0.0002141881,0.00036689197,0.000032001873],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009419237,0.0010527,0.1398668,0.00026085196,0.0033113114,0.00016031443,0.06264589,0.18774544,0.00093351625,0.5698248,0.0145740155,0.010205111],"study_design_scores_gemma":[0.0041251713,0.00077760697,0.016203504,0.00012687697,0.00029839773,0.0012393999,0.006237871,0.014631582,0.00068021816,0.21967366,0.7345487,0.0014570266],"about_ca_topic_score_codex":0.0013210094,"about_ca_topic_score_gemma":0.000108191416,"teacher_disagreement_score":0.71997464,"about_ca_system_score_codex":0.0002525623,"about_ca_system_score_gemma":0.00003494155,"threshold_uncertainty_score":0.5982577},"labels":[],"label_agreement":null},{"id":"W4321604725","doi":"10.1111/pirs.12715","title":"Are riskier cities more compact? An empirical study of the 11 largest census metropolitan areas in Canada, 2016","year":2023,"lang":"en","type":"article","venue":"Papers of the Regional Science Association","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Metropolitan area; Census; Geography; Point (geometry); Autoregressive model; Econometrics; Regional science; Economics; Demography; Mathematics; Sociology","score_opus":0.04559206019149797,"score_gpt":0.26564839687734026,"score_spread":0.2200563366858423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321604725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99037254,0.000018509449,1.1558769e-7,0.004776244,0.0003073223,0.00013061175,0.00008190513,0.0000053297526,0.0043074493],"genre_scores_gemma":[0.9994949,0.00002501031,0.000003924264,0.0001547671,0.000027866232,0.0000027154974,0.000002164117,0.000005879852,0.00028277462],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894184,0.00005177233,0.00035673718,0.00020396765,0.00018506292,0.00026060228],"domain_scores_gemma":[0.998673,0.00014074637,0.0008264215,0.00026083735,0.000054256332,0.0000447119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001363861,0.00007595498,0.00023396466,0.00012699523,0.00021533092,0.000023062887,0.0005155733,0.00003723394,0.00001035141],"category_scores_gemma":[0.0005808196,0.00005728139,0.00006541911,0.0008706755,0.00013937816,0.00014825645,0.000080748185,0.00009163416,0.0000027524238],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000039322795,0.00005287228,0.9957439,0.0000025931786,0.000009729364,1.864909e-7,0.0005730503,0.0007401286,0.000006601435,0.0010018602,0.0018382828,0.00002691772],"study_design_scores_gemma":[0.0001921447,0.0000103911725,0.9877477,0.000011184762,0.000003980636,1.7752033e-7,0.008234474,0.0014548259,0.000010767513,0.0014366539,0.00082669454,0.00007100625],"about_ca_topic_score_codex":0.48042324,"about_ca_topic_score_gemma":0.6666509,"teacher_disagreement_score":0.18622762,"about_ca_system_score_codex":0.0026959854,"about_ca_system_score_gemma":0.00030034332,"threshold_uncertainty_score":0.7049908},"labels":[],"label_agreement":null},{"id":"W4321760761","doi":"10.1016/j.frl.2023.103713","title":"Bank concentration, urban development and firm access to credit in Latin America","year":2023,"lang":"en","type":"article","venue":"Finance research letters","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Ivey Business School, Western University","keywords":"Collateral; Latin Americans; Bank credit; Business; Construct (python library); Real estate; Residential real estate; Capital (architecture); Access to finance; Finance; Economic geography; Economics; Geography","score_opus":0.10564195878375988,"score_gpt":0.3107040599786171,"score_spread":0.20506210119485724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321760761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9793459,0.000108409506,0.00027619628,0.0124171665,0.00020349325,0.00032071891,0.000022062217,0.000040544674,0.007265501],"genre_scores_gemma":[0.9961552,0.00062526786,0.0010549629,0.0012119132,0.00014748059,0.00014705854,0.000030504492,0.000028216315,0.00059939333],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982658,0.00003118477,0.00044960625,0.00048781774,0.00007037539,0.0006952335],"domain_scores_gemma":[0.99939525,0.000156419,0.0000813119,0.00024101975,0.000026067913,0.00009995273],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012583291,0.00011755679,0.00026425705,0.000488877,0.00018126205,0.00024282912,0.00033703895,0.000056128287,0.00008507221],"category_scores_gemma":[0.00029400468,0.00015077955,0.000024275345,0.0011400663,0.0001012168,0.00032622978,0.00022862875,0.00023965056,0.0011186912],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065418666,0.000053444717,0.63784873,0.00007697355,0.000020271607,0.00006136325,0.00488233,0.0017990478,0.0001554768,0.004143369,0.31277123,0.03812235],"study_design_scores_gemma":[0.0003186709,0.000025733849,0.49052617,0.000039627266,2.9298994e-7,4.3259084e-7,0.000053589687,0.0030124146,0.0001280243,0.0006332168,0.5050348,0.00022701887],"about_ca_topic_score_codex":0.00023592665,"about_ca_topic_score_gemma":0.000097403754,"teacher_disagreement_score":0.19226357,"about_ca_system_score_codex":0.00025607581,"about_ca_system_score_gemma":0.000059533817,"threshold_uncertainty_score":0.99965906},"labels":[],"label_agreement":null},{"id":"W4321781428","doi":"10.2139/ssrn.4364256","title":"Macroeconomic Risk Factors and the Role of Mis-Priced Credit in the Returns from International Real Estate Securities","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Commercial mortgage-backed security; Real estate; Business; Hybrid security; Real estate investment trust; Capitalization rate; Currency; Sample (material); Monetary economics; Financial system; Financial economics; Private placement; Economics; Finance; Investment banking","score_opus":0.0078740160926852,"score_gpt":0.1953774070160273,"score_spread":0.1875033909233421,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321781428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9641027,0.0004884194,0.000018696925,0.00059674063,0.0003533204,0.00009192102,0.00011645645,0.000012028059,0.034219712],"genre_scores_gemma":[0.8756222,0.124036655,0.000010241196,0.000018476047,0.00020174969,0.000004911415,0.00001800028,0.000015798552,0.000071937415],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984177,0.000068042544,0.00057298027,0.00019167528,0.000036313846,0.0007132893],"domain_scores_gemma":[0.9989249,0.00035666864,0.00050140865,0.0001745524,0.000013842646,0.000028617704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029452185,0.00012845645,0.00029587606,0.00020036036,0.00014290256,0.00012768473,0.0004642717,0.00006576633,0.00005964544],"category_scores_gemma":[0.00011506849,0.000094457886,0.00012391315,0.00011851832,0.00012604066,0.0001978446,0.000049334503,0.00086254254,0.000031081894],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003589173,0.000048403173,0.7604996,0.000005989969,0.0005117231,0.0000029581045,0.022262542,0.0005089719,0.000009197518,0.18960734,0.00021723316,0.025967153],"study_design_scores_gemma":[0.0020102104,0.000066043445,0.11947195,0.000010672835,0.000021931666,0.000022994185,0.029602503,0.014447537,0.000017030134,0.8225795,0.011526186,0.0002234411],"about_ca_topic_score_codex":0.0065655108,"about_ca_topic_score_gemma":0.005961919,"teacher_disagreement_score":0.6410276,"about_ca_system_score_codex":0.00028661703,"about_ca_system_score_gemma":0.00011704253,"threshold_uncertainty_score":0.99251324},"labels":[],"label_agreement":null},{"id":"W4322762196","doi":"10.1111/caje.12651","title":"The impact of international students on housing markets","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Renting; Economic rent; Apartment; Boom; Distribution (mathematics); Global city; Equity (law); Sample (material); Investment (military); Rental housing; House price; Economics; Business; Demographic economics; Geography; Monetary economics; Market economy; Political science","score_opus":0.11973634708115076,"score_gpt":0.22032886399651852,"score_spread":0.10059251691536776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322762196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98019594,0.00012476224,0.000012056921,0.0010361202,0.0032873114,0.00016275769,0.00027510856,0.000009327571,0.014896588],"genre_scores_gemma":[0.99757093,0.001092851,0.000048899867,0.00010113812,0.00053226715,0.000006743393,0.000015752144,0.000064320535,0.0005670663],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974298,0.00003387085,0.0014524607,0.00032525815,0.000003161826,0.00075549],"domain_scores_gemma":[0.9968896,0.0003013585,0.001393671,0.0004708732,0.000115240575,0.00082928827],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022551075,0.00026323253,0.0006719763,0.0012180085,0.00026439846,0.0003027651,0.0012575588,0.00016035044,0.00029808452],"category_scores_gemma":[0.0004710063,0.00027645775,0.00051382394,0.00023000447,0.00017809836,0.0003604956,0.000051921128,0.00032203033,0.00018610901],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039957525,0.000047992307,0.5868844,0.000025269763,0.0011350551,0.00013065795,0.0014194894,0.03544677,0.0000053259164,0.35514262,0.008678745,0.010684091],"study_design_scores_gemma":[0.0031867186,0.0011131022,0.31044748,0.00024993296,0.000040485196,0.00023044055,0.0009491132,0.023443656,0.00006566421,0.5576306,0.10127834,0.0013644869],"about_ca_topic_score_codex":0.05414236,"about_ca_topic_score_gemma":0.5125241,"teacher_disagreement_score":0.4583818,"about_ca_system_score_codex":0.002470426,"about_ca_system_score_gemma":0.0007848758,"threshold_uncertainty_score":0.99996877},"labels":[],"label_agreement":null},{"id":"W4322770912","doi":"10.3390/jrfm16030167","title":"The Effect of Proximity to Universities on House Prices after the COVID Outbreak","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Outbreak; Coronavirus disease 2019 (COVID-19); Database transaction; House price; 2019-20 coronavirus outbreak; Demographic economics; Business; Economics; Econometrics; Medicine; Computer science","score_opus":0.008511765657215696,"score_gpt":0.19499794877151228,"score_spread":0.18648618311429657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322770912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942628,0.00021700065,0.0007789541,0.00082388136,0.0004980198,0.00019434872,0.000021321719,0.000010504157,0.003193177],"genre_scores_gemma":[0.9962549,0.003194663,0.00005341433,0.00014081359,0.0001101852,0.000005764763,2.021418e-7,0.00001038129,0.00022968189],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993232,0.00002640029,0.0003447428,0.00010748994,0.000042198684,0.0001559906],"domain_scores_gemma":[0.9991888,0.00023010597,0.00036408225,0.00015526445,0.000015017416,0.000046723155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016522965,0.000089650675,0.0002366727,0.00019818646,0.00020513202,0.00006455938,0.0002087242,0.000031475156,0.0000063229286],"category_scores_gemma":[0.000090802314,0.000057318786,0.00010533294,0.00019756574,0.000059901467,0.00009831066,0.00011232285,0.00011689912,0.000042603348],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008532017,0.00015293795,0.39416942,0.00046163207,0.00041111675,0.00016474084,0.01455809,0.003941126,0.0000016064058,0.1543641,0.023362035,0.39988118],"study_design_scores_gemma":[0.00083748496,0.00074754696,0.29760268,0.00003907503,0.000049075097,0.000003287188,0.0005375497,0.00013508023,0.000014164184,0.007410629,0.69247705,0.00014635424],"about_ca_topic_score_codex":0.000045539462,"about_ca_topic_score_gemma":0.00003217035,"teacher_disagreement_score":0.669115,"about_ca_system_score_codex":0.00006174141,"about_ca_system_score_gemma":0.000010222376,"threshold_uncertainty_score":0.23373923},"labels":[],"label_agreement":null},{"id":"W4323051223","doi":"10.1108/pm-10-2022-0082","title":"An international examination of market orientation and performance in residential property management","year":2023,"lang":"en","type":"article","venue":"Property Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina","funders":"","keywords":"Real estate; Property management; Business; Market orientation; CLARITY; Renting; Originality; Marketing; Competitor analysis; Sample (material); Lease; Loyalty; Finance; Qualitative research; Sociology","score_opus":0.027302167784230617,"score_gpt":0.22084529286675475,"score_spread":0.19354312508252414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323051223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6059433,0.0000135556575,0.00019047476,0.00018491445,0.0003699253,0.00044160147,0.0000074854847,0.000043303047,0.39280543],"genre_scores_gemma":[0.9859943,0.0027682204,0.00080347277,0.000033871274,0.000036403893,0.00008297192,0.00004180731,0.000018257871,0.010220701],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99886733,0.000023294782,0.00047448813,0.00038722387,0.000059949005,0.00018772917],"domain_scores_gemma":[0.999548,0.0000067254628,0.00015656292,0.00023719478,0.000018820741,0.000032655356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012262778,0.000107152584,0.00016833072,0.000571017,0.000053819156,0.00007846022,0.00021533298,0.000036632722,0.00019485789],"category_scores_gemma":[0.000010300048,0.00008805562,0.000024045094,0.00028247788,0.00003431558,0.0006038466,0.00015700396,0.000051535742,0.00009846166],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030689576,0.00034484672,0.3050451,0.0009760371,0.00017047467,0.0000275544,0.0019992476,0.0010844644,0.000016289334,0.023421964,0.0016436322,0.6649635],"study_design_scores_gemma":[0.0008116309,0.00007686127,0.86791927,0.000051841784,0.000007711625,7.6490977e-7,0.00039006848,0.108019635,0.000028718876,0.00083959295,0.0216687,0.00018518728],"about_ca_topic_score_codex":0.000081096674,"about_ca_topic_score_gemma":0.000030946838,"teacher_disagreement_score":0.6647783,"about_ca_system_score_codex":0.000108026354,"about_ca_system_score_gemma":0.0000029677506,"threshold_uncertainty_score":0.3590804},"labels":[],"label_agreement":null},{"id":"W4323794371","doi":"10.21447/jusre.2022.13.4.91","title":"Estimation of the Housing Wealth Effect","year":2022,"lang":"en","type":"article","venue":"The Korean Association of Urban Policies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Quarter (Canadian coin); Economics; Estimation; Durable good; Wealth effect; Value (mathematics); Capital (architecture); Labour economics; Monetary economics; Microeconomics","score_opus":0.0119371045843792,"score_gpt":0.20879038883248172,"score_spread":0.19685328424810253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323794371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9601109,0.000098900506,0.000068351845,0.0023372793,0.00040570422,0.0001854535,0.00012679078,0.000018165872,0.036648452],"genre_scores_gemma":[0.9986956,0.000025108615,0.000024688394,0.00017297929,0.000058264563,0.000009096399,0.0000066616635,0.000013690158,0.0009938743],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991446,0.00010300602,0.0004392102,0.00009431576,0.00006272195,0.00015614128],"domain_scores_gemma":[0.99824524,0.00025653202,0.0012149261,0.0002543483,0.000014865278,0.000014074608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018281566,0.00007375541,0.0002512779,0.00008935912,0.00030083425,0.000020039688,0.00027727243,0.000031585227,0.000064931155],"category_scores_gemma":[0.00029871054,0.000060788316,0.00013000202,0.00024033464,0.000048923826,0.00006524465,0.00012067772,0.00012294042,0.000010913718],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038379236,0.00008576351,0.7937228,0.000060467137,0.00013435537,5.683258e-8,0.008870614,0.021483786,0.000055502802,0.15103737,0.021144902,0.0033659912],"study_design_scores_gemma":[0.0023783492,0.00048267812,0.7890668,0.00005206579,0.00012250837,0.000003412266,0.0012900789,0.07803614,0.0040597217,0.078755215,0.04507611,0.0006769164],"about_ca_topic_score_codex":0.0008358662,"about_ca_topic_score_gemma":0.00003713911,"teacher_disagreement_score":0.07228214,"about_ca_system_score_codex":0.0004118974,"about_ca_system_score_gemma":0.000026316508,"threshold_uncertainty_score":0.24788757},"labels":[],"label_agreement":null},{"id":"W4323794615","doi":"10.2139/ssrn.4383805","title":"Impact of Carbon Prices on Household Behaviors in Housing Transactions","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Saint Mary's University; Concordia University","funders":"","keywords":"Carbon fibers; Economics; Business; Natural resource economics; Agricultural economics; Materials science; Composite material","score_opus":0.026653196136299358,"score_gpt":0.24266916853038764,"score_spread":0.2160159723940883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323794615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99418765,0.00028080388,0.00038388232,0.00007131448,0.0002813983,0.00007631383,0.000016222162,0.000035531535,0.004666877],"genre_scores_gemma":[0.99417096,0.005531964,0.000015845293,0.0000066622124,0.00008591245,0.0000034000745,0.0000023154653,0.00003724964,0.00014567997],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99796534,0.000014023694,0.0005431022,0.00019854322,0.000033232376,0.0012457374],"domain_scores_gemma":[0.9994412,0.000036870566,0.00030139156,0.0001568466,0.000010070181,0.000053628177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013903482,0.00013343123,0.0003210425,0.00076071004,0.00007343931,0.000033773562,0.00017366865,0.00009218732,0.00003173405],"category_scores_gemma":[0.000020084019,0.00014773633,0.000214816,0.00049767405,0.00002723216,0.00015289115,0.000007700912,0.0008695111,0.000027348227],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026142545,0.00057725114,0.8466009,0.000024334126,0.00036968008,0.000013466917,0.0012706144,0.06438446,0.000296224,0.039112903,0.000047099293,0.04704164],"study_design_scores_gemma":[0.003375882,0.0018394652,0.745683,0.00010177129,0.000047756632,0.00010728757,0.0013337682,0.010343309,0.00013733997,0.23566651,0.00033730967,0.0010266055],"about_ca_topic_score_codex":0.0010703473,"about_ca_topic_score_gemma":0.0013315256,"teacher_disagreement_score":0.19655362,"about_ca_system_score_codex":0.0012993889,"about_ca_system_score_gemma":0.00034798158,"threshold_uncertainty_score":0.6024512},"labels":[],"label_agreement":null},{"id":"W4323914438","doi":"10.2139/ssrn.4381330","title":"Political Divide and the Composition of Households’ Equity Portfolios","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Politics; Equity (law); Portfolio; Stock (firearms); Polarization (electrochemistry); Economics; Stock market; Political science; Geography; Financial economics","score_opus":0.02682651351861508,"score_gpt":0.24179898021606736,"score_spread":0.21497246669745226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323914438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94581777,0.0010682517,0.0027015225,0.0045716986,0.0002754846,0.00012094625,0.000019126419,0.000039891085,0.045385327],"genre_scores_gemma":[0.9950918,0.004368175,0.0000137319075,0.00012240409,0.00017609798,0.000002736906,0.000003863998,0.000017302842,0.00020389391],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998096,0.00002833345,0.00046067065,0.00014263496,0.000033716493,0.001238668],"domain_scores_gemma":[0.99943537,0.00009652558,0.00024550062,0.0001397496,0.000015671405,0.00006720825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003520742,0.000089876135,0.0002865993,0.00012490181,0.0001672785,0.00006391882,0.0001844019,0.00005853048,0.000019119992],"category_scores_gemma":[0.00006809834,0.000078579666,0.00011237368,0.00015332512,0.00015401546,0.00013631825,0.00010134587,0.00054861576,0.000057403082],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004958843,0.000015441534,0.0115761915,0.00000507845,0.00006109296,9.0340734e-7,0.00006637562,0.000019525556,0.000008053532,0.9857605,0.000100265876,0.0023369442],"study_design_scores_gemma":[0.0010152517,0.000054604738,0.0072962353,0.0000069657713,0.000011753685,0.00009520912,0.00020458593,0.0010641117,0.000015935366,0.9893356,0.00080202497,0.00009775027],"about_ca_topic_score_codex":0.00011862023,"about_ca_topic_score_gemma":0.0000591529,"teacher_disagreement_score":0.049274042,"about_ca_system_score_codex":0.00027244206,"about_ca_system_score_gemma":0.00015187707,"threshold_uncertainty_score":0.32043856},"labels":[],"label_agreement":null},{"id":"W4324100925","doi":"10.2478/remav-2023-0004","title":"Residential Real Estate as a Potential Hedge of Capital Against Inflation","year":2023,"lang":"en","type":"article","venue":"Real Estate Management and Valuation","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Inflation (cosmology); Economics; Depreciation (economics); Cointegration; Real estate investment trust; Financial economics; Monetary economics; Quarter (Canadian coin); Capitalization rate; Hedge; Econometrics; Finance; Capital formation; Financial capital; Geography; Market economy","score_opus":0.03217693153850118,"score_gpt":0.24570143790663962,"score_spread":0.21352450636813844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324100925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79358995,0.000007719709,0.0003579323,0.0000978668,0.0002527137,0.00025810412,0.000016428434,0.000062242274,0.20535704],"genre_scores_gemma":[0.95495194,0.043433968,0.00017987497,0.000010363141,0.00008153463,0.00001563479,0.00026007663,0.00002318671,0.001043394],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9987806,0.000027741435,0.0005664028,0.00032141598,0.00006914606,0.00023466922],"domain_scores_gemma":[0.99938184,0.00001847749,0.0003360012,0.00017852098,0.000030341585,0.00005484212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010069946,0.00012966491,0.00022956579,0.00043260347,0.00011773733,0.00009759056,0.000089372894,0.00006278276,0.000030810465],"category_scores_gemma":[0.000020519125,0.00016494544,0.00006830956,0.00025226056,0.000044841167,0.00034587248,0.00010396448,0.000055418102,0.00028625727],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034580505,0.00012399798,0.057607785,0.00053403556,0.00031904018,0.0000531251,0.0086160675,0.018220251,0.00035138967,0.06319594,0.00083741575,0.84979516],"study_design_scores_gemma":[0.0029046575,0.00023515556,0.7049579,0.000052825828,0.00008641353,0.0000024250228,0.001762602,0.2256788,0.00012841157,0.060260296,0.0032770506,0.00065343926],"about_ca_topic_score_codex":0.0017781277,"about_ca_topic_score_gemma":0.00016850203,"teacher_disagreement_score":0.8491417,"about_ca_system_score_codex":0.00006945367,"about_ca_system_score_gemma":0.000013718356,"threshold_uncertainty_score":0.6726279},"labels":[],"label_agreement":null},{"id":"W4327792446","doi":"10.4108/eai.18-11-2022.2327138","title":"Influencing Factors of California Housing Prices in 1990: a Multiple Linear Regression Analysis","year":2023,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Real estate; Consumption (sociology); Recession; Hedonic regression; Regression analysis; Affect (linguistics); Linear regression; Economics; Economic indicator; Econometrics; Demographic economics; Business; Agricultural economics; Statistics; Finance; Macroeconomics; Mathematics; Psychology; Sociology","score_opus":0.04240446097182019,"score_gpt":0.2430167988994725,"score_spread":0.20061233792765232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327792446","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919703,0.000046667177,0.00084368396,0.000038765575,0.00010430967,0.00008091834,0.000059898786,0.00007154458,0.006783908],"genre_scores_gemma":[0.99848664,0.00017425558,0.0011599938,0.00002227901,0.000024675128,0.0000032726284,0.000039138435,0.000019135585,0.00007058932],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998639,0.000008401304,0.0007370344,0.0003105032,0.000027383354,0.00027770767],"domain_scores_gemma":[0.99918985,0.0001413559,0.00034621818,0.00025209968,0.000014944213,0.000055548735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062484556,0.00013056453,0.00052773184,0.0012826925,0.000060246766,0.000030378853,0.0001520078,0.00010289818,0.00017323306],"category_scores_gemma":[0.00021710861,0.0001301606,0.0001702915,0.0017048225,0.000029438163,0.00018034726,0.00008508408,0.000098938675,0.0001812333],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009812011,0.00002344874,0.9878498,0.000024729155,0.00006591586,0.000001684441,0.00060945435,0.010523224,0.0000552583,0.00038058782,0.000034821926,0.00042126843],"study_design_scores_gemma":[0.00047347488,0.000021197382,0.65243125,0.000034765282,0.00002708772,1.4562539e-7,0.0007090403,0.34154484,0.0006428521,0.0011202908,0.0026721451,0.00032289876],"about_ca_topic_score_codex":0.0036039245,"about_ca_topic_score_gemma":0.0018938129,"teacher_disagreement_score":0.33541852,"about_ca_system_score_codex":0.00009550464,"about_ca_system_score_gemma":0.0000152213,"threshold_uncertainty_score":0.544808},"labels":[],"label_agreement":null},{"id":"W4327954603","doi":"10.3390/su15065436","title":"Research Trends and Directions on Real Estate Investment Trusts’ Performance Risks","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Johannesburg","keywords":"Real estate investment trust; Real estate; Portfolio; Business; Asset allocation; Scopus; Investment (military); Asset (computer security); Corporate governance; Finance; Emerging markets; Accounting; Political science","score_opus":0.09741376653594924,"score_gpt":0.3384159177640268,"score_spread":0.24100215122807755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327954603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72640723,0.000013553517,0.0000013367671,0.0014011414,0.00017146516,0.00013828908,0.000022148291,0.000101396676,0.27174345],"genre_scores_gemma":[0.99158734,0.0036130957,0.000029240464,0.000034908164,0.00007691764,0.00008220531,0.000016125976,0.000023135139,0.0045370446],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99839395,0.00006863871,0.00038414565,0.00053733593,0.000046297926,0.00056964444],"domain_scores_gemma":[0.999022,0.0001847875,0.00008375645,0.00047049858,0.00009970489,0.000139247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031679946,0.00013204185,0.00025804082,0.0008045237,0.00046041608,0.00010141745,0.0001383013,0.00009672031,0.00010396598],"category_scores_gemma":[0.00040795613,0.0001529106,0.000060985338,0.0010396815,0.00024712837,0.00018694323,0.0001332138,0.00029764947,0.0002305031],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001221825,0.0001535429,0.6064647,0.00017159968,0.00002930824,0.000008758428,0.0023455282,0.00062329276,6.8392677e-7,0.05893412,0.0028527477,0.3282936],"study_design_scores_gemma":[0.0002989827,0.00017936472,0.8595463,0.0000043395517,0.0000020735047,9.176612e-7,0.0006973376,0.0068800165,0.000008862866,0.046226624,0.08597275,0.00018243106],"about_ca_topic_score_codex":0.0021285405,"about_ca_topic_score_gemma":0.00016497,"teacher_disagreement_score":0.32811114,"about_ca_system_score_codex":0.0010338681,"about_ca_system_score_gemma":0.00008300516,"threshold_uncertainty_score":0.6235513},"labels":[],"label_agreement":null},{"id":"W4353076403","doi":"10.1080/14693062.2023.2190870","title":"Missing density: assessing support for compact cities among Canadian municipal officials and members of the public","year":2023,"lang":"en","type":"article","venue":"Climate Policy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Opposition (politics); Legislation; Compact city; Politics; Zoning; Climate change; Collective action; Survey data collection; Public economics; Political science; Public administration; Business; Political economy; Economics; Urban planning; Law","score_opus":0.07841305399420893,"score_gpt":0.2875556428446006,"score_spread":0.20914258885039166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4353076403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9275455,0.000034274406,0.0000057165653,0.0027754968,0.00032078373,0.00015554723,0.0002314012,0.000031542615,0.06889974],"genre_scores_gemma":[0.9990207,0.00019839997,0.00005738038,0.0003055934,0.00012603415,0.000003885613,0.000027382357,0.00003111436,0.00022951342],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987748,0.000017144434,0.00044258253,0.00020013662,0.0000189485,0.00054637983],"domain_scores_gemma":[0.9991496,0.00012472631,0.00028414154,0.00025669817,0.00002408696,0.00016071532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009305308,0.000118974756,0.00036058665,0.00048497148,0.00039149474,0.00025644305,0.00018439796,0.00008949139,0.00005438311],"category_scores_gemma":[0.00035837805,0.00012502311,0.00010734955,0.00030813552,0.00018922723,0.00025100677,0.00007660283,0.00007464191,0.000020563875],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000850544,0.000017078788,0.857575,0.00021044593,0.000073563424,0.0000024744468,0.002564742,0.00012986222,0.000031313608,0.1329156,0.0024217868,0.0040496574],"study_design_scores_gemma":[0.0007679762,0.000041100564,0.8428667,0.000085784435,0.000029770836,0.000012022491,0.002204975,0.04384086,0.0001799493,0.028017005,0.08134551,0.00060830254],"about_ca_topic_score_codex":0.06336893,"about_ca_topic_score_gemma":0.062552534,"teacher_disagreement_score":0.104898594,"about_ca_system_score_codex":0.00017509097,"about_ca_system_score_gemma":0.00019354459,"threshold_uncertainty_score":0.9545534},"labels":[],"label_agreement":null},{"id":"W4360615125","doi":"10.1111/1540-6229.12435","title":"Climate change and commercial real estate: Evidence from Hurricane Sandy","year":2023,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":89,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Real estate; Capitalization rate; Flood myth; Capitalization; Economics; Flood insurance; Salience (neuroscience); Real estate investment trust; Asset (computer security); Herding; Financial economics; Finance; Business; Geography; Psychology; Computer science","score_opus":0.09904928115215786,"score_gpt":0.2623114054864175,"score_spread":0.16326212433425966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360615125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89113843,0.000052643212,0.00001137043,0.0007669252,0.0009595412,0.00030906554,0.0009862824,0.00022775563,0.10554801],"genre_scores_gemma":[0.51532334,0.48324406,0.0003775275,0.00012789769,0.00049190933,0.000054534255,0.00020659281,0.000088222594,0.0000858898],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9971568,0.000036471247,0.0010213003,0.00090187206,0.000026826297,0.000856728],"domain_scores_gemma":[0.99815816,0.00038727705,0.0005529813,0.0005727987,0.000022068865,0.00030669445],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010322301,0.00037086892,0.0008375876,0.00033740737,0.000281809,0.00029164166,0.00036255523,0.00020998521,0.00017747411],"category_scores_gemma":[0.000074005016,0.00048806614,0.00014315962,0.00024706568,0.00017429377,0.00089343765,0.00033540573,0.00024698416,0.0017989018],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002508411,0.00006922583,0.3535558,0.00009400702,0.00009572675,0.000045608533,0.006150072,0.00030147823,0.000013039846,0.0064379564,0.0011506932,0.6318356],"study_design_scores_gemma":[0.0022076112,0.00030500756,0.8335742,0.00014761182,0.00006044553,0.000017748955,0.0010268504,0.08658778,0.000047182675,0.01182244,0.062216237,0.0019869055],"about_ca_topic_score_codex":0.01843536,"about_ca_topic_score_gemma":0.0038632888,"teacher_disagreement_score":0.62984866,"about_ca_system_score_codex":0.00027302108,"about_ca_system_score_gemma":0.000040026,"threshold_uncertainty_score":0.9997571},"labels":[],"label_agreement":null},{"id":"W4362575572","doi":"10.37407/kres.2023.41.1.51","title":"An Empirical Analysis of the Relationship between the Housing Market and Macroeconomy","year":2023,"lang":"en","type":"article","venue":"Korea Real Estate Society","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Interest rate; Investment (military); Consumption (sociology); Monetary economics; Quarter (Canadian coin); Real gross domestic product; Real interest rate; Database transaction","score_opus":0.0619787917825827,"score_gpt":0.28756738033180607,"score_spread":0.22558858854922337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362575572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9609034,0.000012159975,0.00013481051,0.0010666533,0.000089464775,0.00012312607,0.00021403866,0.00004840238,0.037407942],"genre_scores_gemma":[0.9984155,0.0009339303,0.00021648876,0.00009814838,0.00006433446,0.0000073113542,0.000056326364,0.0000223879,0.00018552758],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988222,0.000053536314,0.00051247433,0.00031574199,0.000032142027,0.00026388338],"domain_scores_gemma":[0.9985045,0.00061440887,0.00032014772,0.00047522032,0.000016787495,0.00006890824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015080841,0.00012705218,0.00037392406,0.00010576839,0.00035886688,0.000092183276,0.0002661272,0.00011222447,0.000043084623],"category_scores_gemma":[0.00007660656,0.00010035418,0.00034124695,0.0010589039,0.0002508791,0.00017010453,0.000110151275,0.0001846136,0.000017493703],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000040799323,0.000009117735,0.99127114,0.000011883494,0.00023599193,1.8878555e-7,0.0024023408,0.00034829325,7.0367923e-7,0.0010482799,0.0012819654,0.0033859878],"study_design_scores_gemma":[0.0001375614,0.000010262814,0.95855296,0.0000030316098,0.000116464566,3.029459e-7,0.0005538144,0.03211446,0.0000023897028,0.0051514343,0.0032369264,0.00012037166],"about_ca_topic_score_codex":0.00077249965,"about_ca_topic_score_gemma":0.00019471612,"teacher_disagreement_score":0.037512142,"about_ca_system_score_codex":0.00008006154,"about_ca_system_score_gemma":0.000028620534,"threshold_uncertainty_score":0.40923244},"labels":[],"label_agreement":null},{"id":"W4362581695","doi":"10.3390/jrfm16040220","title":"Exploring the Effects of Municipal Land and Building Policies on Apartment Size in New Residential Construction in Sweden","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kungliga Tekniska Högskolan","keywords":"Apartment; Renting; Metropolitan area; Presumption; Per capita; Population; Business; Proxy (statistics); Population size; Panel data; Economics; Agricultural economics; Geography; Engineering; Civil engineering; Econometrics","score_opus":0.03153073243340722,"score_gpt":0.2285665917793607,"score_spread":0.19703585934595347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362581695","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982139,0.00028402166,0.0000976315,0.00014635795,0.0005648576,0.00011325233,0.000002483954,0.0000030329272,0.0005744625],"genre_scores_gemma":[0.9740061,0.025558475,0.00025791768,0.000019665746,0.00012470316,0.0000033226272,1.8097396e-7,0.000006148316,0.000023443052],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923974,0.00002036017,0.0004590241,0.000105724255,0.00003172594,0.00014340585],"domain_scores_gemma":[0.999424,0.0001762495,0.00028718408,0.000076804106,0.000005040523,0.000030747684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071074243,0.00007565621,0.00026033164,0.00040063838,0.000052570133,0.000037433583,0.00007161928,0.000026384145,0.000001973867],"category_scores_gemma":[0.0001878111,0.00006906253,0.000041588097,0.00021336523,0.000035583827,0.00014381908,0.00007219524,0.00012814983,0.0000018534485],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025223667,0.000045852186,0.8310479,0.00015375407,0.00003006246,0.00004290096,0.0037390357,0.0012911538,0.000007510251,0.040643804,0.00016701293,0.122578785],"study_design_scores_gemma":[0.0011388418,0.000106922584,0.9735669,0.00014762316,0.000011560073,0.0000027719693,0.00019717473,0.00015122232,0.000030924424,0.02099097,0.0035784557,0.0000766187],"about_ca_topic_score_codex":0.0010901405,"about_ca_topic_score_gemma":0.00052661035,"teacher_disagreement_score":0.14251903,"about_ca_system_score_codex":0.000047996215,"about_ca_system_score_gemma":0.000008707772,"threshold_uncertainty_score":0.28162882},"labels":[],"label_agreement":null},{"id":"W4362725636","doi":"10.1007/978-981-16-1634-1_10","title":"Value Addition by Private Equity Investors: Real Estate","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The King's University; Western University","funders":"","keywords":"Real estate; Real estate investment trust; Business; Private sector; Finance; Equity (law); Private equity; Capitalization rate; Financial system; Value (mathematics); Real estate development; Economics; Economic growth","score_opus":0.06446878690936023,"score_gpt":0.23443471416200348,"score_spread":0.16996592725264326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362725636","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00051169517,0.00003827153,0.00022409762,0.0002505449,0.0012507214,0.00025618222,0.0017318018,0.00034885487,0.99538785],"genre_scores_gemma":[0.000876346,0.026511155,0.0005416956,0.00034117533,0.0005244782,0.00002526709,0.0017966595,0.00029264076,0.9690906],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976325,0.000006809631,0.0010285563,0.00081225106,0.000049419552,0.0004704476],"domain_scores_gemma":[0.9983705,0.00008348122,0.00073171256,0.0006030879,0.000021590786,0.00018961598],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00074973446,0.00043487074,0.0007980958,0.00035204305,0.00013302865,0.00018042243,0.0003827559,0.00056181476,0.0036434585],"category_scores_gemma":[0.00005046232,0.0005669942,0.00027139226,0.00005018832,0.00011956004,0.0002602634,0.00032689323,0.00040012432,0.013079499],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011737253,0.000012987039,0.000077169665,0.00005448314,0.00009172509,0.0000070677143,0.00006255957,0.00001694808,0.0000013150486,0.8556023,0.12936708,0.0146945985],"study_design_scores_gemma":[0.00018439235,0.000039778224,0.000059936894,0.000033754226,0.000011260052,0.0000013584913,0.0000033661688,0.00054764806,0.000004852261,0.34358543,0.65499884,0.0005293858],"about_ca_topic_score_codex":0.0006578755,"about_ca_topic_score_gemma":0.00015669834,"teacher_disagreement_score":0.5256317,"about_ca_system_score_codex":0.00044580956,"about_ca_system_score_gemma":0.00004582577,"threshold_uncertainty_score":0.99967813},"labels":[],"label_agreement":null},{"id":"W4362725693","doi":"10.1007/978-981-16-1634-1_4","title":"The Case of Indian Real Estate","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The King's University; Western University","funders":"","keywords":"Real estate development; Real estate; Zoning; Business; Process (computing); Capital (architecture); Land development; Real property; Environmental planning; Finance; Land use; Environmental resource management; Civil engineering; Geography; Engineering; Computer science; Economics; Political science","score_opus":0.039437999540711415,"score_gpt":0.21133575078382374,"score_spread":0.17189775124311232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362725693","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016199398,0.000042509597,0.0000065621134,0.00016865495,0.0007700959,0.00013686772,0.00018683769,0.000054599885,0.9970139],"genre_scores_gemma":[0.017531717,0.033002093,0.00007128971,0.000031836233,0.00017851243,0.0000065175345,0.00003124735,0.00012311374,0.94902366],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99865216,0.0000029909093,0.00077761785,0.00031486343,0.000012416533,0.00023997137],"domain_scores_gemma":[0.99864364,0.00017980745,0.0005711451,0.000516358,0.000020191635,0.00006884519],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00064249756,0.00019854342,0.0004621811,0.00020346408,0.00014539511,0.000071187686,0.00023036622,0.00024203959,0.00052153843],"category_scores_gemma":[0.00003251747,0.00018798914,0.00019967883,0.000030804622,0.00012768238,0.00005509005,0.00007982773,0.00021298477,0.002359495],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009458979,0.0000037246625,0.00010337525,0.00003623566,0.00009276666,0.00032434432,0.00021564087,0.000011399122,3.514615e-8,0.9393846,0.0035559717,0.056262475],"study_design_scores_gemma":[0.00022021856,0.000049459057,0.000060194507,0.000026683745,0.000012365498,0.00011611275,0.00009957152,0.00046689468,0.000002394104,0.39193803,0.60654634,0.00046173533],"about_ca_topic_score_codex":0.002465842,"about_ca_topic_score_gemma":0.005509471,"teacher_disagreement_score":0.6029903,"about_ca_system_score_codex":0.00007509588,"about_ca_system_score_gemma":0.000033787273,"threshold_uncertainty_score":0.99841726},"labels":[],"label_agreement":null},{"id":"W4364377314","doi":"10.1186/s41937-023-00111-0","title":"Interest rates and real estate prices: a panel study","year":2023,"lang":"en","type":"article","venue":"Zeitschrift für schweizerische Statistik und Volkswirtschaft/Schweizerische Zeitschrift für Volkswirtschaft und Statistik/Swiss journal of economics and statistics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Université de Fribourg","keywords":"Real estate; Renting; Quarter (Canadian coin); Maturity (psychological); Capitalization rate; Interest rate; Variable (mathematics); Economics; Bond; Econometrics; Financial economics; Business; Real estate investment trust; Monetary economics; Finance; Geography; Mathematics; Engineering","score_opus":0.05763503941000601,"score_gpt":0.3136756067002522,"score_spread":0.25604056729024616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4364377314","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8774587,0.0060661975,0.07222766,0.0014764059,0.004630028,0.0031041296,0.014146421,0.00050401664,0.020386443],"genre_scores_gemma":[0.806287,0.096849605,0.09262056,0.00035208266,0.0010898513,0.0001577491,0.00074199477,0.00075690355,0.0011442376],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9857505,0.00059948984,0.007414247,0.0028831274,0.00047591512,0.0028767185],"domain_scores_gemma":[0.9865559,0.0025480464,0.0059956,0.0018091454,0.00088896666,0.0022023846],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.006956995,0.0024281146,0.0048463494,0.0029073872,0.0015746815,0.0024984458,0.0018708832,0.0008798035,0.0003463402],"category_scores_gemma":[0.0020980798,0.0026507417,0.0005672875,0.001600542,0.0013574335,0.0026378937,0.001388688,0.002428285,0.0005653529],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019546272,0.001505986,0.06306284,0.0008390154,0.0040447153,0.0014012704,0.007859199,0.00087002985,0.00013107927,0.83890694,0.011233366,0.06819091],"study_design_scores_gemma":[0.027506698,0.00949405,0.13563506,0.00073828775,0.0026337996,0.0012469555,0.015177661,0.09075591,0.00018269509,0.058888484,0.6479423,0.009798073],"about_ca_topic_score_codex":0.0035956034,"about_ca_topic_score_gemma":0.0027673694,"teacher_disagreement_score":0.78001845,"about_ca_system_score_codex":0.00010465473,"about_ca_system_score_gemma":0.00080288894,"threshold_uncertainty_score":0.99987316},"labels":[],"label_agreement":null},{"id":"W4365445393","doi":"10.1177/23998083231166952","title":"Using machine learning to identify spatial market segments. A reproducible study of major Spanish markets","year":2023,"lang":"en","type":"article","venue":"Environment and Planning B Urban Analytics and City Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Market segmentation; Real estate; Computer science; Econometrics; Artificial intelligence; Segmentation; Process (computing); Econometric model; Machine learning; Economics; Microeconomics; Finance","score_opus":0.061920748008345586,"score_gpt":0.2664671106239481,"score_spread":0.20454636261560255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365445393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959311,0.00014556997,0.00062267395,0.000058724345,0.0001594269,0.00020205963,0.000022878794,0.000021841613,0.00283574],"genre_scores_gemma":[0.99822044,0.00017682424,0.00044838726,0.000028751017,0.00005172216,0.000003015813,0.0000050188128,0.000014385188,0.0010514627],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983429,0.000022388629,0.00044579178,0.00073453784,0.00010633696,0.00034809782],"domain_scores_gemma":[0.9992325,0.000051570893,0.00024159654,0.0003022799,0.000009253306,0.00016280945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025620593,0.000157622,0.00033699063,0.00045075457,0.0004084812,0.00018325438,0.00020045415,0.00004296523,0.00015262932],"category_scores_gemma":[0.00016509151,0.00018436757,0.000033486893,0.00043595512,0.00016122557,0.00020513214,0.0003467872,0.00013627706,0.000020146987],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031657975,0.00006292806,0.9952791,0.000015692105,0.00002668464,0.00000737953,0.001904627,0.001723162,0.00026432076,0.0000538583,0.00016911617,0.000461501],"study_design_scores_gemma":[0.0004676485,0.00016343388,0.8047406,0.00002423836,0.000023360484,0.0000029960397,0.0009441517,0.19090866,0.00007347463,0.00035737644,0.0020128174,0.00028122406],"about_ca_topic_score_codex":0.00055607443,"about_ca_topic_score_gemma":0.00001906676,"teacher_disagreement_score":0.19053844,"about_ca_system_score_codex":0.00006381172,"about_ca_system_score_gemma":0.000012913703,"threshold_uncertainty_score":0.75182915},"labels":[],"label_agreement":null},{"id":"W4366425793","doi":"10.2139/ssrn.4413799","title":"U.S. Bank Fragility to Credit Risk in 2023: Monetary Tightening and Commercial Real Estate Distress","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Fragility; Real estate; Financial system; Business; Distress; Economics; Monetary economics; Finance; Medicine","score_opus":0.013628692807161237,"score_gpt":0.21709119432443866,"score_spread":0.20346250151727743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366425793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853134,0.00035983868,0.0004926575,0.00076929375,0.00044113674,0.00010630717,0.000085255306,0.000035963458,0.012396145],"genre_scores_gemma":[0.93408936,0.0650731,0.00009415771,0.000039000686,0.00030719378,0.0000065650297,0.00002355188,0.000028766153,0.00033829326],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99730796,0.000046244753,0.0006035878,0.0003592279,0.000038080554,0.0016448891],"domain_scores_gemma":[0.99932444,0.00008319366,0.00023733264,0.00019300434,0.000014493512,0.00014755275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030516481,0.00016971344,0.00038617148,0.00037625027,0.00023998867,0.00011463466,0.00023094764,0.00009927398,0.000053494816],"category_scores_gemma":[0.00011522815,0.00020195435,0.000084503175,0.00035876667,0.0000432061,0.00024405216,0.00010209015,0.0012343324,0.00024529142],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015330776,0.00004810484,0.74717087,0.000012288591,0.00008779414,0.000019223884,0.000893292,0.0011379664,0.000004470853,0.009118123,0.00061138324,0.2407432],"study_design_scores_gemma":[0.0011929012,0.00018941204,0.7624263,0.000020958863,0.000013684098,0.00004132567,0.0006847389,0.0093234675,0.0000035316675,0.2143249,0.0112846885,0.00049406453],"about_ca_topic_score_codex":0.004168552,"about_ca_topic_score_gemma":0.012246138,"teacher_disagreement_score":0.24024914,"about_ca_system_score_codex":0.0005980413,"about_ca_system_score_gemma":0.00014311075,"threshold_uncertainty_score":0.82354593},"labels":[],"label_agreement":null},{"id":"W4366705304","doi":"10.2139/ssrn.4276452","title":"Quantifying the Impacts of Climate Shocks in Commercial Real Estate Market","year":2022,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Climate risk; Real estate; Portfolio; Capitalization; Business; Climate change; Natural resource economics; Economics; Finance; Financial economics","score_opus":0.03315754009423887,"score_gpt":0.2659078145620484,"score_spread":0.2327502744678095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366705304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86733806,0.0014637224,0.00013937424,0.0007133508,0.0013616788,0.0002693914,0.00014142276,0.000019006147,0.128554],"genre_scores_gemma":[0.73305357,0.26646298,0.00004383758,0.00004110499,0.00019698932,0.0000133536805,0.000022399521,0.000055602875,0.00011015014],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99533325,0.0001628363,0.0015356478,0.0004452241,0.00007569211,0.002447372],"domain_scores_gemma":[0.9975433,0.00016272636,0.0016548848,0.0005346414,0.000026712727,0.000077749704],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01066805,0.0003276554,0.0008867828,0.0005070877,0.0003128414,0.00016242133,0.00097049755,0.00022220208,0.00054913043],"category_scores_gemma":[0.00012257982,0.00033400566,0.00039864745,0.00021944742,0.00008204872,0.00015782616,0.00073839066,0.0054616677,0.000020099198],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007002069,0.0002509133,0.789468,0.00018746448,0.00042948528,0.000019496598,0.0026908445,0.004024326,0.000003532862,0.12392468,0.00036997828,0.077931054],"study_design_scores_gemma":[0.003815468,0.00065584,0.264824,0.00026599425,0.00012234268,0.00031674656,0.0076060095,0.01713826,0.000008086269,0.67781204,0.025300428,0.00213479],"about_ca_topic_score_codex":0.0041063614,"about_ca_topic_score_gemma":0.019812731,"teacher_disagreement_score":0.55388737,"about_ca_system_score_codex":0.002527238,"about_ca_system_score_gemma":0.0012759673,"threshold_uncertainty_score":0.9999112},"labels":[],"label_agreement":null},{"id":"W4367844905","doi":"10.1111/jmcb.13055","title":"How Do Mortgage Rate Resets Affect Consumer Spending and Debt Repayment? Evidence from Canadian Consumers","year":2023,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Default; Monetary economics; Interest rate; Monetary policy; Reset (finance); Debt; Floating interest rate; Macroeconomics; Financial economics; Finance","score_opus":0.05152781593128139,"score_gpt":0.24723991909153864,"score_spread":0.19571210316025725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367844905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897572,0.0051914733,0.00006461473,0.0017595453,0.0011152554,0.00009205983,0.000055525088,0.00001579254,0.0019485698],"genre_scores_gemma":[0.9867173,0.012376388,0.0003392977,0.000087334665,0.0003100573,0.0000015668268,0.0000057081807,0.000025343857,0.00013704116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987014,0.00004338541,0.0005340468,0.000291972,0.00005028334,0.00037892984],"domain_scores_gemma":[0.9984905,0.0004532843,0.00056608475,0.00016912847,0.000031463678,0.00028954505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020811525,0.00016736238,0.00048284957,0.000578398,0.00024701413,0.00057080074,0.00016202225,0.00010989723,0.00011476612],"category_scores_gemma":[0.00058932113,0.00017817855,0.00009051748,0.00018631566,0.000093042494,0.00072062836,0.00006849879,0.0002800873,0.00002550646],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009273735,0.000009581873,0.9765186,0.00005094387,0.00025185957,0.00038033014,0.0011314667,0.00003002042,0.00049057504,0.0008513856,0.009523322,0.010669201],"study_design_scores_gemma":[0.0029753754,0.00029554788,0.86421585,0.001437799,0.00019485233,0.00024941217,0.0016144117,0.009896048,0.0005396276,0.035229474,0.082042895,0.0013086938],"about_ca_topic_score_codex":0.0060343356,"about_ca_topic_score_gemma":0.0036731244,"teacher_disagreement_score":0.11230271,"about_ca_system_score_codex":0.00013678746,"about_ca_system_score_gemma":0.00006489693,"threshold_uncertainty_score":0.91221505},"labels":[],"label_agreement":null},{"id":"W4376113290","doi":"10.1080/00036846.2023.2208843","title":"Do birds of the same feather flock together? The cultural geography of global housing price interaction","year":2023,"lang":"en","type":"article","venue":"Applied Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Real estate; Economics; Perspective (graphical); Economic geography; Finance","score_opus":0.024328860069326493,"score_gpt":0.22611936432084107,"score_spread":0.20179050425151457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376113290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9177915,0.00008142286,0.00008489801,0.0004690765,0.0008684956,0.00027610362,0.00010587724,0.000048744496,0.08027391],"genre_scores_gemma":[0.99886173,0.0004979725,0.00018149558,0.00019174302,0.00014201511,0.000020634534,0.000007882072,0.000035865763,0.000060652357],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847627,0.000015458,0.00079698,0.00036066017,0.000025190802,0.00032543595],"domain_scores_gemma":[0.99841624,0.000096462034,0.0007995545,0.000619679,0.000024728723,0.000043356853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006897342,0.00019945708,0.0004427247,0.000096074924,0.00016210006,0.000088274064,0.0005510363,0.00013549713,0.00009420668],"category_scores_gemma":[0.000031019546,0.00016259878,0.0002956891,0.00045602472,0.00018925162,0.00017099334,0.00021393807,0.00016334362,0.00020934232],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019207585,0.00014955609,0.5588236,0.00010666385,0.0005170326,3.392894e-7,0.00250364,0.02627201,0.00016674779,0.38570282,0.0023771685,0.023188323],"study_design_scores_gemma":[0.0030116853,0.00014067932,0.5396706,0.00009910506,0.00012600899,0.00001840537,0.0070853927,0.019546393,0.0025222811,0.2935699,0.1324247,0.0017848812],"about_ca_topic_score_codex":0.00032248875,"about_ca_topic_score_gemma":0.00012436335,"teacher_disagreement_score":0.13004753,"about_ca_system_score_codex":0.00018852466,"about_ca_system_score_gemma":0.000030668252,"threshold_uncertainty_score":0.6630586},"labels":[],"label_agreement":null},{"id":"W4376629160","doi":"10.4337/9781781954164.00017","title":"Index","year":2014,"lang":"en","type":"paratext","venue":"Edward Elgar Publishing eBooks","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Computer science; World Wide Web","score_opus":0.025965241544873292,"score_gpt":0.21243570270294762,"score_spread":0.18647046115807434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376629160","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00066681515,0.0007299949,0.0038636627,0.0006058233,0.015345313,0.00029652938,0.0003010393,0.00016740407,0.9780234],"genre_scores_gemma":[0.119967096,0.0003146748,0.00071242347,0.0025125714,0.0077614696,0.00009780155,0.00077291357,0.00044729828,0.86741376],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962132,0.000055334807,0.0014196297,0.0012369248,0.00009549754,0.0009794211],"domain_scores_gemma":[0.99692345,0.00014821383,0.0012784395,0.0012493861,0.00008370888,0.00031681734],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0020572424,0.00064463203,0.0014408001,0.00084932504,0.00028212173,0.0041065225,0.0014853053,0.0013683711,0.005795309],"category_scores_gemma":[0.00049600034,0.0008243569,0.00046562412,0.00012863037,0.00013199577,0.00086133514,0.00043360906,0.0015645861,0.042152632],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017401535,0.000022301445,0.00055559,0.00014292297,0.00012655545,0.000003284496,0.00026489876,0.00006437506,5.428928e-7,0.0188909,0.96662813,0.013283118],"study_design_scores_gemma":[0.00048041527,0.00003330959,0.00012595627,0.00008697694,0.000010418617,0.0000066732305,0.000016799038,0.0007129511,0.000007882464,0.012708265,0.9848689,0.00094149593],"about_ca_topic_score_codex":0.00090335024,"about_ca_topic_score_gemma":0.00012745109,"teacher_disagreement_score":0.119300276,"about_ca_system_score_codex":0.00043251025,"about_ca_system_score_gemma":0.00017922204,"threshold_uncertainty_score":0.99992806},"labels":[],"label_agreement":null},{"id":"W4377018725","doi":"10.21203/rs.3.rs-2863271/v1","title":"A Dynamic Theory of the Feldstein–Horioka Puzzle: A New Measure of Home Country Bias","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Dalhousie University; Meiji University; Division of Chemistry; University of Rochester","keywords":"Measure (data warehouse); Economics; Keynesian economics; Econometrics; Computer science","score_opus":0.15255158338905953,"score_gpt":0.32186287087031024,"score_spread":0.1693112874812507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377018725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8489814,0.011766694,0.0013887425,0.0036224271,0.0052919113,0.0036388813,0.0037418143,0.00022400559,0.121344134],"genre_scores_gemma":[0.99039745,0.0031809292,0.00015316384,0.00001623844,0.0001875358,0.00005806159,0.000056372708,0.00012608834,0.005824171],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996616,0.00029659632,0.0012328334,0.000783297,0.0003604503,0.00071080244],"domain_scores_gemma":[0.9960172,0.0007688448,0.00083424494,0.0018576337,0.0003558378,0.00016623842],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009781986,0.00031102457,0.0010518868,0.00082601566,0.00018931055,0.00013892508,0.0015999263,0.0006290743,0.0003508529],"category_scores_gemma":[0.0026291243,0.00029536465,0.0005044048,0.0009088868,0.00039287764,0.0000977308,0.0017669101,0.001568859,0.00027373273],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013320327,0.00097435946,0.2721086,0.016466007,0.0024102798,0.00004529223,0.010979479,0.010350423,0.00013381231,0.6000921,0.043690525,0.041417055],"study_design_scores_gemma":[0.0013667743,0.00022703754,0.11815603,0.0027489697,0.00004692097,0.000005262486,0.0015575178,0.008330562,0.00011579967,0.8392339,0.027179962,0.0010312865],"about_ca_topic_score_codex":0.002049729,"about_ca_topic_score_gemma":0.0013437488,"teacher_disagreement_score":0.23914176,"about_ca_system_score_codex":0.00063005293,"about_ca_system_score_gemma":0.00090126967,"threshold_uncertainty_score":0.9999499},"labels":[],"label_agreement":null},{"id":"W4378213328","doi":"10.2139/ssrn.4445723","title":"Mortgage Securitization Dynamics in the Aftermath of Natural Disasters: A Reply","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Securitization; Natural disaster; Natural (archaeology); Business; Financial system; Geography; Meteorology","score_opus":0.009505271511833079,"score_gpt":0.20694871027373024,"score_spread":0.19744343876189716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378213328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988181,0.00089436653,0.0010704998,0.0015477291,0.0003616447,0.00010754637,0.000019306888,0.000019488953,0.0077984054],"genre_scores_gemma":[0.99390864,0.00548398,0.000022285287,0.00017294857,0.00011226573,0.0000046149567,0.000026572385,0.000018359851,0.00025034527],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99834305,0.00003306196,0.00052701385,0.00015598304,0.000036116122,0.00090479344],"domain_scores_gemma":[0.9994255,0.000053256692,0.00030079632,0.0001854608,0.000014292484,0.000020693804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002677744,0.00009659792,0.00021254593,0.00027413465,0.000079682635,0.00006731188,0.00029158962,0.000044888515,0.0000124514545],"category_scores_gemma":[0.00008274954,0.00009050046,0.000100919846,0.00039881057,0.000034100645,0.00024595816,0.00003123505,0.0007340459,0.000054691252],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059991526,0.00007187233,0.06051271,0.000024272564,0.000073959825,0.000010809688,0.0030885276,0.00035221555,0.0000071545196,0.9264837,0.00031966934,0.008995111],"study_design_scores_gemma":[0.00095782394,0.00013497409,0.01570091,0.000037339996,0.000007798612,0.00017346432,0.009121848,0.07179123,0.0000046105984,0.89829326,0.0034746851,0.0003020733],"about_ca_topic_score_codex":0.00013524294,"about_ca_topic_score_gemma":0.0018496601,"teacher_disagreement_score":0.07143901,"about_ca_system_score_codex":0.00070167554,"about_ca_system_score_gemma":0.00013181905,"threshold_uncertainty_score":0.36905017},"labels":[],"label_agreement":null},{"id":"W4378229751","doi":"10.58837/chula.is.2020.15","title":"Forecasting the Thailand housing price indexA case study on condo HPI during the COVID-19","year":2020,"lang":"en","type":"dissertation","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Index (typography); Quarter (Canadian coin); Futures studies; Investment (military); Price index; Econometrics; Coronavirus disease 2019 (COVID-19); Benchmark (surveying); Economics; Financial economics; Actuarial science; Business; Geography; Statistics; Finance; Computer science; Mathematics; Cartography","score_opus":0.08315034800823724,"score_gpt":0.26550011084759145,"score_spread":0.18234976283935422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378229751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84347093,0.00015444659,0.00008146556,0.0006237775,0.001020473,0.0010655653,0.000045024437,0.00009386458,0.15344444],"genre_scores_gemma":[0.99438304,0.00008259853,0.00002891987,0.0012256575,0.00041519367,0.00008584194,0.00006231543,0.0001125728,0.0036038621],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9975956,0.00007053668,0.0009938306,0.000806177,0.00006916747,0.00046470796],"domain_scores_gemma":[0.9975595,0.00059209124,0.0009786302,0.00066000223,0.00003048364,0.00017932261],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012476403,0.00044989958,0.0006771717,0.00021997139,0.0012866034,0.00058755087,0.00054487406,0.00023475847,0.00039257255],"category_scores_gemma":[0.0006470085,0.0003359879,0.00021802547,0.00032750142,0.000050968334,0.00015888367,0.00010816941,0.0007912877,0.00019332561],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023156814,0.0014464111,0.71537143,0.0023662266,0.0031059894,0.00865852,0.21283768,0.009188217,0.000016712695,0.023654263,0.011424072,0.009614818],"study_design_scores_gemma":[0.016294923,0.0018410909,0.053663056,0.0003286364,0.0007275937,0.003619894,0.5113593,0.084411025,0.0001688192,0.0125288395,0.3062647,0.008792128],"about_ca_topic_score_codex":0.0020489416,"about_ca_topic_score_gemma":0.005017705,"teacher_disagreement_score":0.66170835,"about_ca_system_score_codex":0.0003560011,"about_ca_system_score_gemma":0.0001307618,"threshold_uncertainty_score":0.9999092},"labels":[],"label_agreement":null},{"id":"W4378834450","doi":"10.31219/osf.io/7vmt3","title":"Housing for Me, but not for Thee: Values-Based Motivations of NIMBYism in Canada","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Strong","keywords":"Opposition (politics); Egalitarianism; Psychological nativism; Affordable housing; Rental housing; Economics; Demographic economics; Renting; Labour economics; Economic growth; Political science; Law","score_opus":0.08713391389045282,"score_gpt":0.24498206964379368,"score_spread":0.15784815575334088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378834450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8208388,0.000096901305,0.14796975,0.0023112318,0.003878066,0.0026594042,0.006529049,0.00010068589,0.015616097],"genre_scores_gemma":[0.986101,0.00007610417,0.011524457,0.00029368806,0.00014285915,0.0003189956,0.00029433862,0.00010395989,0.0011446484],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978044,0.000009634956,0.0011798417,0.00058612693,0.00002914908,0.00039086805],"domain_scores_gemma":[0.99807477,0.0006317907,0.00067861186,0.0004893642,0.000066759574,0.00005868638],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00093132426,0.0002459176,0.0008309222,0.00043721474,0.00007825068,0.000054823373,0.00035330423,0.00021806512,0.00006182228],"category_scores_gemma":[0.0004261541,0.00031690442,0.00025596458,0.00013031998,0.000028878827,0.0000576717,0.00013687924,0.00018776608,0.000007974919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004918211,0.00028495266,0.27312028,0.0040137065,0.0005955257,0.0000041340677,0.0006069168,0.5615821,0.000068743626,0.12962838,0.022940688,0.006662782],"study_design_scores_gemma":[0.0023092718,0.000056509776,0.0304815,0.00021543699,0.000036367637,1.962071e-7,0.0002833095,0.8070773,0.0014102976,0.15113078,0.0058905357,0.0011084733],"about_ca_topic_score_codex":0.7022535,"about_ca_topic_score_gemma":0.7623703,"teacher_disagreement_score":0.24549526,"about_ca_system_score_codex":0.0009674506,"about_ca_system_score_gemma":0.0011431985,"threshold_uncertainty_score":0.9999283},"labels":[],"label_agreement":null},{"id":"W4379015593","doi":"10.32920/23276882.v1","title":"U.S. REIT industry profitability: a Bennet decomposition of industry dynamics","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Real estate investment trust; Equity (law); Profitability index; Return on equity; Index (typography); Business; Economics; Financial economics; Sample (material); Econometrics; Real estate; Finance; Computer science","score_opus":0.05899145998648471,"score_gpt":0.2701644988860804,"score_spread":0.2111730388995957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379015593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8589284,0.00010273779,0.0020436752,0.0019066759,0.0021746112,0.000620794,0.0012751076,0.0002541776,0.13269383],"genre_scores_gemma":[0.9926622,0.00018748829,0.0019170122,0.00010821244,0.00028465784,0.000082263396,0.00065550744,0.00012028386,0.003982363],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99684113,0.000030491094,0.0016326394,0.0009827777,0.00004974816,0.00046319916],"domain_scores_gemma":[0.9973989,0.00009397531,0.001186141,0.0010964312,0.00007064887,0.00015388003],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0012798535,0.00039352404,0.0010809044,0.00054589077,0.000075677686,0.00013190089,0.00059016445,0.0035417422,0.0008643477],"category_scores_gemma":[0.0001749955,0.000523151,0.00031134248,0.00027118606,0.00013020955,0.0001667928,0.0009813776,0.002911919,0.00039726205],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000113191476,0.0004736636,0.7770788,0.001724371,0.000493971,0.000014625073,0.00047078225,0.0069491244,0.000005822662,0.19799557,0.00747363,0.0072064423],"study_design_scores_gemma":[0.0012057455,0.00017177507,0.1518846,0.00044772497,0.000098628836,0.000011482586,0.000640927,0.19553721,0.00017403458,0.643618,0.003860535,0.002349354],"about_ca_topic_score_codex":0.0016812584,"about_ca_topic_score_gemma":0.00049135083,"teacher_disagreement_score":0.6251942,"about_ca_system_score_codex":0.0006141038,"about_ca_system_score_gemma":0.00014734613,"threshold_uncertainty_score":0.999722},"labels":[],"label_agreement":null},{"id":"W4379232714","doi":"10.3390/jrfm16060291","title":"Delineating Housing Submarkets Using Space–Time House Sales Data: Spatially Constrained Data-Driven Approaches","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; Transaction data; Space time; Urban sprawl; Gentrification; Database transaction; Space (punctuation); Computer science; Econometrics; Order (exchange); Economics; Urban planning; Database; Finance; Civil engineering","score_opus":0.09217551889511487,"score_gpt":0.24120845185816056,"score_spread":0.1490329329630457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379232714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89600307,0.00082795834,0.09833942,0.0002438006,0.0009960069,0.0003012063,0.0006060906,0.00009660417,0.0025858309],"genre_scores_gemma":[0.95144504,0.0070487685,0.04038808,0.00005681736,0.00082614366,0.0000013622016,0.00010963931,0.000072518385,0.000051655355],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979265,0.000044635235,0.0010757608,0.00048956036,0.000079567835,0.00038401908],"domain_scores_gemma":[0.99793863,0.00012558681,0.0011161125,0.00067077414,0.000034231372,0.0001146664],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002958623,0.0002221124,0.00062560994,0.00053557975,0.00028645215,0.00024456324,0.00070642965,0.00010025787,0.000018687155],"category_scores_gemma":[0.0004177816,0.0002457621,0.00008533422,0.00034905766,0.00010277605,0.0007826194,0.0008662903,0.00024649437,0.00006658104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061742554,0.00040145442,0.2268354,0.0006134694,0.00055298634,0.00065171544,0.0019991132,0.044206783,0.00003046326,0.014369726,0.009478812,0.70024264],"study_design_scores_gemma":[0.0026017395,0.00012390886,0.039427068,0.00023876793,0.0002837042,0.000052762407,0.0005997137,0.88471985,0.0000042253546,0.0065435776,0.06456687,0.0008377822],"about_ca_topic_score_codex":0.00009642234,"about_ca_topic_score_gemma":0.000085225896,"teacher_disagreement_score":0.8405131,"about_ca_system_score_codex":0.000075842596,"about_ca_system_score_gemma":0.000055648103,"threshold_uncertainty_score":0.99999946},"labels":[],"label_agreement":null},{"id":"W4379382930","doi":"10.32920/23296055.v1","title":"Exploring Diversification and Risk of Canadian Real Estate Investment Trusts","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Real estate investment trust; Diversification (marketing strategy); Real estate; Business; Financial economics; Capitalization rate; Stock (firearms); Risk–return spectrum; Stock market; Asset allocation; Finance; Economics; Portfolio; Geography","score_opus":0.21333791782875314,"score_gpt":0.22184047762050757,"score_spread":0.008502559791754433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379382930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7717563,0.000023903678,0.000037094553,0.00018878822,0.00069346966,0.00016619197,0.0003925987,0.000039700873,0.22670199],"genre_scores_gemma":[0.7806106,0.21694033,0.0014160704,0.000025119885,0.00007972979,0.000049048365,0.000118082884,0.000045720208,0.0007153098],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99874574,0.000013202573,0.00053103373,0.00045603522,0.000016451942,0.0002375622],"domain_scores_gemma":[0.9989345,0.0000430516,0.00044165147,0.0003829305,0.000018557967,0.00017928377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006315891,0.00015886124,0.00038934092,0.0011138321,0.000084001214,0.000066748544,0.00016874372,0.00013312139,0.000063222025],"category_scores_gemma":[0.00006501628,0.00020944112,0.000078217316,0.00015905539,0.000049140333,0.00013880584,0.00022401336,0.00019947633,0.00015686014],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024381578,0.000036554506,0.88639325,0.00033632916,0.0004354721,0.0000070872734,0.0065179006,0.0032073797,0.000001946601,0.072857864,0.0017813676,0.028400451],"study_design_scores_gemma":[0.000479336,0.000043406457,0.89821315,0.00006842154,0.000060341885,7.502057e-7,0.00091387547,0.017706517,0.00004652568,0.05053243,0.031156624,0.000778626],"about_ca_topic_score_codex":0.78573567,"about_ca_topic_score_gemma":0.29489502,"teacher_disagreement_score":0.49084064,"about_ca_system_score_codex":0.00026111264,"about_ca_system_score_gemma":0.00007354133,"threshold_uncertainty_score":0.8540761},"labels":[],"label_agreement":null},{"id":"W4379383014","doi":"10.32920/23296004","title":"Experiment With Multiple Regression Models for Sales Forecast and Location Analysis","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph; Toronto Metropolitan University","funders":"","keywords":"Projection (relational algebra); Regression analysis; Computer science; Polygon (computer graphics); Range (aeronautics); Sales forecasting; Econometrics; Sales management; Operations research; Business; Marketing; Economics; Mathematics; Engineering; Machine learning; Algorithm","score_opus":0.09001631662274426,"score_gpt":0.25892841469845446,"score_spread":0.1689120980757102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379383014","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23835026,0.0010426255,0.7486641,0.0007011709,0.00047524794,0.0010369953,0.00033936897,0.00018972266,0.009200505],"genre_scores_gemma":[0.9799364,0.00087114965,0.01679044,0.000037760703,0.0000742743,0.0002898315,0.0005529728,0.000058683203,0.0013884841],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99849445,0.000006542121,0.0005191924,0.00072911195,0.00002171668,0.00022901683],"domain_scores_gemma":[0.99890226,0.000093959,0.00041944627,0.00044855304,0.000060880204,0.00007492584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041319436,0.00023898328,0.00064773805,0.00049326214,0.000107625645,0.00016925065,0.00014848166,0.00021478042,0.000023849725],"category_scores_gemma":[0.00004142241,0.00022903435,0.00013588936,0.00022999056,0.00004180989,0.00013651689,0.00021801057,0.00011183331,0.000026621121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053531904,0.00023654952,0.14866827,0.0008478374,0.0032018567,0.0000028329782,0.0032046873,0.76054615,0.0000076220117,0.0672697,0.0050974432,0.010381752],"study_design_scores_gemma":[0.00045127692,0.000039509596,0.0022264759,0.000053601827,0.000087136286,3.4202026e-7,0.00018560087,0.96458113,0.00004925411,0.030796045,0.0011550423,0.0003745954],"about_ca_topic_score_codex":0.0005471612,"about_ca_topic_score_gemma":0.0010886501,"teacher_disagreement_score":0.74158615,"about_ca_system_score_codex":0.00012803375,"about_ca_system_score_gemma":0.000030300462,"threshold_uncertainty_score":0.933975},"labels":[],"label_agreement":null},{"id":"W4379383170","doi":"10.32920/23296055","title":"Exploring Diversification and Risk of Canadian Real Estate Investment Trusts","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Real estate investment trust; Diversification (marketing strategy); Real estate; Business; Financial economics; Capitalization rate; Stock (firearms); Risk–return spectrum; Stock market; Asset allocation; Finance; Economics; Portfolio; Geography","score_opus":0.21333791782875314,"score_gpt":0.22184047762050757,"score_spread":0.008502559791754433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379383170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7717563,0.000023903678,0.000037094553,0.00018878822,0.00069346966,0.00016619197,0.0003925987,0.000039700873,0.22670199],"genre_scores_gemma":[0.7806106,0.21694033,0.0014160704,0.000025119885,0.00007972979,0.000049048365,0.000118082884,0.000045720208,0.0007153098],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99874574,0.000013202573,0.00053103373,0.00045603522,0.000016451942,0.0002375622],"domain_scores_gemma":[0.9989345,0.0000430516,0.00044165147,0.0003829305,0.000018557967,0.00017928377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006315891,0.00015886124,0.00038934092,0.0011138321,0.000084001214,0.000066748544,0.00016874372,0.00013312139,0.000063222025],"category_scores_gemma":[0.00006501628,0.00020944112,0.000078217316,0.00015905539,0.000049140333,0.00013880584,0.00022401336,0.00019947633,0.00015686014],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024381578,0.000036554506,0.88639325,0.00033632916,0.0004354721,0.0000070872734,0.0065179006,0.0032073797,0.000001946601,0.072857864,0.0017813676,0.028400451],"study_design_scores_gemma":[0.000479336,0.000043406457,0.89821315,0.00006842154,0.000060341885,7.502057e-7,0.00091387547,0.017706517,0.00004652568,0.05053243,0.031156624,0.000778626],"about_ca_topic_score_codex":0.78573567,"about_ca_topic_score_gemma":0.29489502,"teacher_disagreement_score":0.49084064,"about_ca_system_score_codex":0.00026111264,"about_ca_system_score_gemma":0.00007354133,"threshold_uncertainty_score":0.8540761},"labels":[],"label_agreement":null},{"id":"W4379387924","doi":"10.33423/jabe.v25i2.6101","title":"An Overview of the Capital Raising Activities Among Proptech Firms","year":2023,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Raising (metalworking); Real estate; Perspective (graphical); Capital (architecture); Strengths and weaknesses; Business; Industrial organization; Marketing; Economics; Finance; Geography; Computer science; Engineering","score_opus":0.044546783369519526,"score_gpt":0.22681365465198103,"score_spread":0.1822668712824615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379387924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99290955,0.000285194,0.00008081583,0.00019171479,0.0006425509,0.000115591836,0.00002505779,0.000013162236,0.005736343],"genre_scores_gemma":[0.99521464,0.004272598,0.00017689531,0.00005645793,0.00020523492,0.0000033632143,0.0000028950037,0.000032104876,0.00003579143],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986765,0.0000065452396,0.0008676954,0.00019725047,0.000024015248,0.00022803523],"domain_scores_gemma":[0.99839085,0.000048112117,0.0011829684,0.000268382,0.00003893568,0.00007074109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081918295,0.00015841464,0.000584512,0.00025829257,0.00013468463,0.00013772532,0.00030502336,0.00011239491,0.000040092647],"category_scores_gemma":[0.000023979612,0.00014048531,0.000125515,0.00025654543,0.00015650736,0.0005521211,0.00009910071,0.000164406,0.000010991573],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006892831,0.0005552145,0.4731814,0.0012812986,0.00068652915,0.000013857002,0.008717569,0.050121397,0.0010764659,0.37391165,0.0011839779,0.08858135],"study_design_scores_gemma":[0.0019329005,0.00011886275,0.80172676,0.00016793443,0.000057874342,0.000048826547,0.0018662083,0.009163543,0.0010067303,0.17416167,0.008970827,0.0007778586],"about_ca_topic_score_codex":0.00006078059,"about_ca_topic_score_gemma":0.000047165737,"teacher_disagreement_score":0.32854536,"about_ca_system_score_codex":0.000070030575,"about_ca_system_score_gemma":0.000056575664,"threshold_uncertainty_score":0.5728825},"labels":[],"label_agreement":null},{"id":"W4379390207","doi":"10.32920/23296004.v1","title":"Experiment With Multiple Regression Models for Sales Forecast and Location Analysis","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph; Toronto Metropolitan University","funders":"","keywords":"Projection (relational algebra); Regression analysis; Computer science; Polygon (computer graphics); Sales management; Sales forecasting; Range (aeronautics); Econometrics; Operations research; Business; Marketing; Economics; Engineering; Machine learning","score_opus":0.09001631662274426,"score_gpt":0.25892841469845446,"score_spread":0.1689120980757102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379390207","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23835026,0.0010426255,0.7486641,0.0007011709,0.00047524794,0.0010369953,0.00033936897,0.00018972266,0.009200505],"genre_scores_gemma":[0.9799364,0.00087114965,0.01679044,0.000037760703,0.0000742743,0.0002898315,0.0005529728,0.000058683203,0.0013884841],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99849445,0.000006542121,0.0005191924,0.00072911195,0.00002171668,0.00022901683],"domain_scores_gemma":[0.99890226,0.000093959,0.00041944627,0.00044855304,0.000060880204,0.00007492584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041319436,0.00023898328,0.00064773805,0.00049326214,0.000107625645,0.00016925065,0.00014848166,0.00021478042,0.000023849725],"category_scores_gemma":[0.00004142241,0.00022903435,0.00013588936,0.00022999056,0.00004180989,0.00013651689,0.00021801057,0.00011183331,0.000026621121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053531904,0.00023654952,0.14866827,0.0008478374,0.0032018567,0.0000028329782,0.0032046873,0.76054615,0.0000076220117,0.0672697,0.0050974432,0.010381752],"study_design_scores_gemma":[0.00045127692,0.000039509596,0.0022264759,0.000053601827,0.000087136286,3.4202026e-7,0.00018560087,0.96458113,0.00004925411,0.030796045,0.0011550423,0.0003745954],"about_ca_topic_score_codex":0.0005471612,"about_ca_topic_score_gemma":0.0010886501,"teacher_disagreement_score":0.74158615,"about_ca_system_score_codex":0.00012803375,"about_ca_system_score_gemma":0.000030300462,"threshold_uncertainty_score":0.933975},"labels":[],"label_agreement":null},{"id":"W4379911923","doi":"10.54254/2754-1169/6/20220200","title":"Determine the Relationship between Population, Residents Income and the Price of Real Estate using Linear Regression","year":2023,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Revenue; Population; Table (database); Economics; Cost of living; Regression analysis; Demographic economics; Business; Actuarial science; Demography; Statistics; Finance; Economic growth; Computer science; Mathematics; Sociology; Database","score_opus":0.06086835623612686,"score_gpt":0.3128676020157713,"score_spread":0.25199924577964444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379911923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96567494,0.00014544166,0.000059131908,0.0007948854,0.00013651699,0.00017186398,0.000010930875,0.00001085903,0.032995444],"genre_scores_gemma":[0.99078035,0.008415197,0.0006010757,0.00003995752,0.000054934513,0.0000064068863,0.0000038092664,0.000006470073,0.00009180504],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988477,0.000037746933,0.00053493754,0.000264964,0.000025860018,0.00028878945],"domain_scores_gemma":[0.9986454,0.00090769114,0.00024109395,0.00015312825,0.0000052476075,0.000047404123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017843181,0.00009414525,0.00023966609,0.00020224109,0.00029045623,0.00007576309,0.00021964675,0.000035608693,0.0000036936253],"category_scores_gemma":[0.00015379697,0.00006731842,0.000030038962,0.0002727813,0.00060350937,0.00047631885,0.00020002035,0.00007465402,0.0000060954244],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007645829,0.0000018919471,0.6070452,0.000017880262,0.000002953006,2.1099461e-7,0.00008199564,0.00038301648,1.3355872e-8,0.39037922,8.381218e-7,0.0020791495],"study_design_scores_gemma":[0.00028026407,0.000010676863,0.65691394,0.000021068427,0.000004824932,5.2783656e-7,0.00016859302,0.019602647,5.6333744e-7,0.32253423,0.00039224792,0.00007040677],"about_ca_topic_score_codex":0.0007081939,"about_ca_topic_score_gemma":0.0001599509,"teacher_disagreement_score":0.067844994,"about_ca_system_score_codex":0.00004530645,"about_ca_system_score_gemma":0.000006030265,"threshold_uncertainty_score":0.27451652},"labels":[],"label_agreement":null},{"id":"W4380368688","doi":"10.2139/ssrn.4476425","title":"Effect of Conventional and Unconventional Monetary Policy Shocks on Housing Prices in Canada","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Monetary policy; Economics; Monetary economics; Macroeconomics; Natural resource economics","score_opus":0.01325769168322428,"score_gpt":0.22247487913511632,"score_spread":0.20921718745189205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380368688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934822,0.002160508,0.00034499692,0.00064471696,0.0009225235,0.00020302933,0.00012646493,0.000010775676,0.002104786],"genre_scores_gemma":[0.9905128,0.00875754,0.00003366044,0.00004117767,0.00034302607,0.00000996306,0.00005611667,0.000047359135,0.00019837428],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99727404,0.00005337679,0.0009453055,0.00042837457,0.00008487507,0.0012140287],"domain_scores_gemma":[0.9986417,0.00020784151,0.00085153995,0.0001926095,0.000022085529,0.000084203806],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003173924,0.00027531132,0.00072728225,0.0007110343,0.00009028046,0.000062969215,0.00028791148,0.00017574655,0.000042415875],"category_scores_gemma":[0.00013861326,0.0003198949,0.00019072303,0.00016470595,0.000049199283,0.000094366886,0.00018011608,0.0020363983,0.00001645872],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0004385052,0.00008199268,0.75701314,0.00045207082,0.00073672953,0.000023138418,0.00008486927,0.018488768,0.00000273766,0.20789786,0.0002119561,0.014568262],"study_design_scores_gemma":[0.0024386344,0.00054765167,0.076993965,0.000404262,0.000041411527,0.000072381416,0.00021443955,0.009727131,0.000025551795,0.9082511,0.0005394566,0.00074401894],"about_ca_topic_score_codex":0.58361876,"about_ca_topic_score_gemma":0.748331,"teacher_disagreement_score":0.70035326,"about_ca_system_score_codex":0.0048345784,"about_ca_system_score_gemma":0.005696828,"threshold_uncertainty_score":0.99994},"labels":[],"label_agreement":null},{"id":"W4381280241","doi":"10.1177/23998083231180610","title":"Estimating household demand for transit-oriented development: A two-stage hedonic analysis in Kitchener-Waterloo, Canada","year":2023,"lang":"en","type":"article","venue":"Environment and Planning B Urban Analytics and City Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph; University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; China Scholarship Council","keywords":"Transit-oriented development; Demographics; Subdivision; Investment (military); Smart growth; Transit (satellite); Business; Affordable housing; Public transport; Economics; Urban planning; Transport engineering; Economic growth; Geography; Engineering; Civil engineering; Political science","score_opus":0.035450219258046235,"score_gpt":0.20934885890469185,"score_spread":0.17389863964664562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381280241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9794656,0.00015577003,0.019529147,0.000096033065,0.00010164118,0.000115285686,0.0000606175,0.00001732288,0.00045855445],"genre_scores_gemma":[0.9956422,0.00006692059,0.0036669765,0.00006806793,0.000028502796,0.000008632073,0.000034739776,0.000010664878,0.0004733236],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985201,0.0000065444647,0.0004319259,0.00053308444,0.000069391965,0.00043895372],"domain_scores_gemma":[0.9994662,0.00007380549,0.00015139446,0.00015867341,0.000004980498,0.00014498619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013113662,0.00015592651,0.00034798513,0.00050215406,0.00037237984,0.00014057629,0.00014579522,0.00004164129,0.00001737568],"category_scores_gemma":[0.000042663283,0.00017806228,0.000040652885,0.0006846638,0.00014262112,0.0001729124,0.00006868869,0.00009267919,0.0000022519039],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009588925,0.000014631304,0.9300191,0.000024018018,0.00005206687,0.000008537435,0.0017239015,0.06697434,0.00001869933,0.0006217778,0.00006249992,0.00047085015],"study_design_scores_gemma":[0.0004942334,0.000018081371,0.28592587,0.00001563934,0.00003295403,7.8683917e-7,0.0002516735,0.70849156,0.000045628574,0.00034053426,0.0040762206,0.00030685228],"about_ca_topic_score_codex":0.0105775595,"about_ca_topic_score_gemma":0.014479862,"teacher_disagreement_score":0.6440932,"about_ca_system_score_codex":0.00016358083,"about_ca_system_score_gemma":0.000071414666,"threshold_uncertainty_score":0.9960111},"labels":[],"label_agreement":null},{"id":"W4381379083","doi":"10.1007/s10901-023-10041-1","title":"Do residential reconversions affect residential property values? An investigation based on Québec city (Canada)","year":2023,"lang":"en","type":"article","venue":"Journal of Housing and the Built Environment","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Rimouski; Institut National de la Recherche Scientifique; Université Laval","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Presumption; Residential property; Value (mathematics); Residential area; Property value; Business; Demographic economics; Agricultural economics; Economics; Finance; Economic geography; Real estate; Statistics; Law; Mathematics; Political science","score_opus":0.03222712240667802,"score_gpt":0.20739937737628908,"score_spread":0.17517225496961106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381379083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929014,0.00012790758,0.00026925848,0.004651838,0.0005741899,0.00013303223,0.000010294118,0.000013777318,0.0013182918],"genre_scores_gemma":[0.99833906,0.00057754957,0.00019716109,0.0003048355,0.00026905618,0.0000026903842,0.0000029495804,0.000023632823,0.00028308216],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987565,0.00011888976,0.00056985073,0.00022920078,0.00011683691,0.00020870223],"domain_scores_gemma":[0.998828,0.00016389658,0.00058131997,0.00028647482,0.000010216167,0.00013011695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022337437,0.00014029993,0.00033330533,0.00019238499,0.00036584667,0.00013485605,0.00020611027,0.000065339984,0.00013309304],"category_scores_gemma":[0.00013172688,0.00010099538,0.00011129264,0.000090626105,0.00017273806,0.00020324496,0.00006030901,0.00023123025,0.000030971532],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006649203,0.00072240515,0.57955885,0.0002567169,0.0009067878,0.00035070872,0.008487839,0.27904782,0.0008231566,0.0039059445,0.074707754,0.044582814],"study_design_scores_gemma":[0.0185431,0.0019345523,0.55766517,0.00051613414,0.0003753832,0.00011697013,0.0018416505,0.2981871,0.0015404392,0.060760174,0.05654389,0.0019754493],"about_ca_topic_score_codex":0.08286544,"about_ca_topic_score_gemma":0.030047785,"teacher_disagreement_score":0.05685423,"about_ca_system_score_codex":0.00033631746,"about_ca_system_score_gemma":0.00018250066,"threshold_uncertainty_score":0.9876513},"labels":[],"label_agreement":null},{"id":"W4381704775","doi":"10.1257/jep.37.2.53","title":"Constraints on City and Neighborhood Growth: The Central Role of Housing Supply","year":2023,"lang":"en","type":"article","venue":"The Journal of Economic Perspectives","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Metropolitan area; Stock (firearms); Population growth; Supply and demand; Economics; Population; Economic geography; Business; Natural resource economics; Labour economics; Geography; Microeconomics","score_opus":0.021592365593054788,"score_gpt":0.21843045362181848,"score_spread":0.19683808802876368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381704775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9614447,0.0007772192,0.000053270054,0.0018026158,0.0003564186,0.000096605516,0.00006047805,0.000010760867,0.035397954],"genre_scores_gemma":[0.9965611,0.0030200866,0.000030870546,0.0000609798,0.00027142873,8.318593e-7,7.478024e-7,0.000018948589,0.000034975983],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988827,0.000045125933,0.00061930326,0.0001561618,0.000024661776,0.0002720627],"domain_scores_gemma":[0.99857974,0.00036423275,0.00074980996,0.00020643981,0.000030851585,0.00006890999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013854,0.00013738898,0.0004010486,0.00020672387,0.00016448043,0.00006298205,0.0003366447,0.00005472966,0.00028609863],"category_scores_gemma":[0.00012043458,0.000103132305,0.00014938827,0.00009437884,0.0004133871,0.00021534758,0.00006813107,0.0002302203,0.00005009294],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005955691,0.00017901782,0.30368218,0.000027512997,0.00074350275,0.0000070531923,0.037953448,0.0019679223,0.0003300009,0.6400299,0.0017678011,0.012716093],"study_design_scores_gemma":[0.0021868413,0.0005124345,0.5262068,0.00008342807,0.000081135244,0.00013949038,0.051256042,0.009684666,0.0005949659,0.4072896,0.0014270028,0.000537611],"about_ca_topic_score_codex":0.00013616649,"about_ca_topic_score_gemma":0.00004111855,"teacher_disagreement_score":0.23274031,"about_ca_system_score_codex":0.00018456914,"about_ca_system_score_gemma":0.0000587532,"threshold_uncertainty_score":0.4205613},"labels":[],"label_agreement":null},{"id":"W4381890182","doi":"10.1007/s11146-023-09950-3","title":"Unpledged Collateral, REIT Liquidity Constraints, and Asset Sales","year":2023,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Real estate investment trust; Collateral; Business; Market liquidity; Real estate; Monetary economics; Loan; Asset (computer security); Finance; Financial system; Investment (military); Economics","score_opus":0.03204759306501769,"score_gpt":0.22576422779168534,"score_spread":0.19371663472666764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381890182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845224,0.00024301482,0.000031397696,0.001115438,0.00045758832,0.000098981945,0.00011395646,0.000018727627,0.013398505],"genre_scores_gemma":[0.7409032,0.25852636,0.00017228806,0.00007801991,0.00011950207,0.0000014467328,0.00000790928,0.000021412101,0.00016987012],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985757,0.000030475587,0.00085150835,0.00020030414,0.000016904594,0.00032512896],"domain_scores_gemma":[0.99862826,0.00022819042,0.0008035171,0.00021118377,0.00003259674,0.00009628056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001975837,0.00017805415,0.0005476635,0.00018805213,0.00021228018,0.00012458918,0.00021983632,0.00009830307,0.000023321745],"category_scores_gemma":[0.00004832944,0.0001646028,0.00008073164,0.00012384843,0.00032768238,0.00040382886,0.00010277078,0.00022328849,0.00009531949],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028206375,0.00031099404,0.2787856,0.0005757739,0.0011619439,0.00022926812,0.022743238,0.021103157,0.00022803262,0.122193,0.04259746,0.5072509],"study_design_scores_gemma":[0.006500331,0.001479567,0.24782392,0.00024605743,0.00015826781,0.0013508777,0.0036074289,0.05595494,0.0002506091,0.12160833,0.55897593,0.002043749],"about_ca_topic_score_codex":0.00012612541,"about_ca_topic_score_gemma":0.00010973403,"teacher_disagreement_score":0.51637846,"about_ca_system_score_codex":0.0000702552,"about_ca_system_score_gemma":0.000062290776,"threshold_uncertainty_score":0.67123073},"labels":[],"label_agreement":null},{"id":"W4381892490","doi":"10.1080/09599916.2023.2222377","title":"Do informed REIT market participants respond to property sector mispricing?","year":2023,"lang":"en","type":"article","venue":"Journal of Property Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate investment trust; Equity (law); Business; Quarter (Canadian coin); Real estate; Context (archaeology); Institutional investor; Monetary economics; Financial economics; Economics; Finance; Corporate governance","score_opus":0.2901281381923743,"score_gpt":0.36943879799088447,"score_spread":0.07931065979851015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381892490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76902306,0.00018752654,0.00003970972,0.0068716872,0.0007780708,0.00054222386,0.00002373837,0.000042568234,0.22249144],"genre_scores_gemma":[0.93078816,0.00082986464,0.00064632186,0.00025364224,0.000585106,0.00003121543,0.0000018123752,0.000069477705,0.06679441],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968854,0.00015275329,0.0013146647,0.00035763843,0.00025133404,0.0010381852],"domain_scores_gemma":[0.99791545,0.00033926123,0.0003586236,0.0004865068,0.00039827664,0.00050190656],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.012684875,0.00017730783,0.0006067358,0.0015372897,0.00026992208,0.0003861812,0.000768479,0.0001440869,0.001542542],"category_scores_gemma":[0.00484267,0.0001089532,0.00017171356,0.0014899061,0.00010082129,0.00052857137,0.00032099208,0.000704398,0.0033163943],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033566563,0.00029801604,0.083157085,0.0003450754,0.00027501758,0.0002789018,0.0050254394,0.00032461944,0.0013372262,0.0012942785,0.86281365,0.041494023],"study_design_scores_gemma":[0.0012202415,0.00095534284,0.022296742,0.00022755192,0.0000069155676,0.000041928677,0.0007041858,0.003847372,0.00044328082,0.004143872,0.96572125,0.0003912883],"about_ca_topic_score_codex":0.0001591501,"about_ca_topic_score_gemma":0.000069858936,"teacher_disagreement_score":0.16176511,"about_ca_system_score_codex":0.00047928834,"about_ca_system_score_gemma":0.00041186673,"threshold_uncertainty_score":0.99937016},"labels":[],"label_agreement":null},{"id":"W4382026160","doi":"10.1007/978-3-031-35368-0_3","title":"Quality Affordable Dwellings","year":2023,"lang":"en","type":"book-chapter","venue":"The urban book series","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Affordable housing; Business; Quality (philosophy); Finance; Economic growth; Economics","score_opus":0.04861386241844711,"score_gpt":0.2139889034132797,"score_spread":0.16537504099483258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382026160","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011014086,0.0021177714,0.00010957156,0.0006456651,0.0015681854,0.00031041753,0.000319141,0.0002344245,0.9945847],"genre_scores_gemma":[0.0013930816,0.0068859397,0.00009108817,0.00066434866,0.0007878639,0.000028298624,0.00010879632,0.00023437792,0.9898062],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976492,0.000011203325,0.0010955969,0.0006940214,0.000058575268,0.000491387],"domain_scores_gemma":[0.9979,0.00012408732,0.00081877917,0.0010129006,0.00003727568,0.00010695757],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010729322,0.00047667805,0.00090819824,0.00020812603,0.0003671498,0.00025104007,0.00058866193,0.00044658838,0.0016736189],"category_scores_gemma":[0.00002725851,0.0005016244,0.00040709434,0.00004875588,0.0003077101,0.00033512694,0.00021965922,0.0004692337,0.0102469325],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004778753,0.000007897578,0.0004146718,0.00008188273,0.00013276335,0.0000058594314,0.0003392366,0.00001946127,4.356273e-7,0.9114014,0.08701345,0.0005351733],"study_design_scores_gemma":[0.000120285775,0.00003462936,0.00008332444,0.000029852654,0.0000109808,0.000003423882,0.000024989457,0.000033992575,0.0000021014032,0.2525505,0.7466281,0.0004777755],"about_ca_topic_score_codex":0.00017454378,"about_ca_topic_score_gemma":0.00056380103,"teacher_disagreement_score":0.6596147,"about_ca_system_score_codex":0.00017465952,"about_ca_system_score_gemma":0.000061203595,"threshold_uncertainty_score":0.9997435},"labels":[],"label_agreement":null},{"id":"W4382294673","doi":"10.5937/aneksub2300019m","title":"Residential real estate analysis in Serbia","year":2023,"lang":"en","type":"article","venue":"Anali Ekonomskog fakulteta u Subotici","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Hodrick–Prescott filter; Economics; Business; Quarter (Canadian coin); Real estate investment trust; Financial economics; Market liquidity; Finance; Macroeconomics; Geography","score_opus":0.033811763144521986,"score_gpt":0.24440601148889018,"score_spread":0.21059424834436818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382294673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84079015,0.00004010739,0.0002613401,0.00054367265,0.00045452532,0.00015118587,0.0000753159,0.00016274443,0.15752095],"genre_scores_gemma":[0.9937981,0.0034082744,0.0002589908,0.00009675023,0.00016526577,0.000020335587,0.00020493304,0.000054619057,0.0019927523],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971274,0.000050948325,0.0011752042,0.00079567917,0.00005809611,0.0007926428],"domain_scores_gemma":[0.9986377,0.00013933514,0.00035354545,0.00066658476,0.00003046705,0.00017237525],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013629525,0.00028155316,0.000882504,0.0018730469,0.00014130007,0.00021755953,0.00044549335,0.00017044992,0.0006270554],"category_scores_gemma":[0.00011914361,0.00036807638,0.0003820081,0.0031820042,0.000093275055,0.0004216588,0.00014872094,0.00023072129,0.0033749014],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053791482,0.000071670576,0.958193,0.000028911201,0.00047567475,0.00009499934,0.00097207463,0.02130828,0.000011670519,0.012447693,0.0021575736,0.004184676],"study_design_scores_gemma":[0.001047702,0.000050789768,0.87010276,0.0000124820945,0.00015249182,0.0000025803574,0.00052933977,0.10438187,0.000030034069,0.0077944077,0.015095091,0.0008004422],"about_ca_topic_score_codex":0.011131722,"about_ca_topic_score_gemma":0.010455402,"teacher_disagreement_score":0.1555282,"about_ca_system_score_codex":0.00022063871,"about_ca_system_score_gemma":0.000041873343,"threshold_uncertainty_score":0.9998771},"labels":[],"label_agreement":null},{"id":"W4382294975","doi":"10.5392/jkca.2023.23.04.314","title":"A Study on Office Market Bubble Estimation : Using RADF Test and GSADF Test","year":2023,"lang":"en","type":"article","venue":"The Journal of the Korea Contents Association","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Renting; Real estate; Order (exchange); Test (biology); Business; Economics; Finance; Engineering; Geography","score_opus":0.05142996231317689,"score_gpt":0.24635530397173874,"score_spread":0.19492534165856185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382294975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922224,0.000039607927,0.00007002343,0.001676259,0.0006361276,0.00024279396,0.00003158252,0.000014711946,0.0050664945],"genre_scores_gemma":[0.99813426,0.00011411125,0.000034776906,0.00013711576,0.00012728348,0.0000015825844,0.0000012291046,0.000018845949,0.001430781],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99890244,0.000087148765,0.0006146007,0.00010984851,0.00009386491,0.00019212531],"domain_scores_gemma":[0.9970818,0.0010689646,0.0015363937,0.00019572182,0.00007915562,0.000037960224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038233197,0.00011193736,0.00028596006,0.00014976518,0.00028339433,0.00011927656,0.00025638807,0.00006241547,0.000019695575],"category_scores_gemma":[0.0031008804,0.00008116137,0.00008717789,0.00027228508,0.000020568432,0.00023250472,0.00007484458,0.00020769727,0.000054404496],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080490645,0.00024807503,0.99020594,0.0000073177207,0.00014496138,0.000002029415,0.0015404336,0.0013081649,0.00011434295,0.00011812288,0.0050397287,0.0011904077],"study_design_scores_gemma":[0.001266743,0.00020753377,0.94870615,0.00004985453,0.00007853881,0.00001240592,0.00079847686,0.045527875,0.000030032992,0.0024901645,0.0006963029,0.00013595063],"about_ca_topic_score_codex":0.000115667186,"about_ca_topic_score_gemma":0.00003345579,"teacher_disagreement_score":0.04421971,"about_ca_system_score_codex":0.00044565517,"about_ca_system_score_gemma":0.000019636376,"threshold_uncertainty_score":0.37122673},"labels":[],"label_agreement":null},{"id":"W4382679970","doi":"10.1108/oxan-db280191","title":"Israeli housing market downturn may damage growth","year":2023,"lang":"en","type":"article","venue":"Emerald expert briefings","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Fell; Recession; Agricultural economics; Economics; Business; Market economy; Geography; Macroeconomics","score_opus":0.030404574116431094,"score_gpt":0.2309704809443652,"score_spread":0.2005659068279341,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382679970","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23890819,0.001373644,0.0014476427,0.38972786,0.0027549302,0.00072738243,0.00019420688,0.002139911,0.3627262],"genre_scores_gemma":[0.6326901,0.009979521,0.0051087583,0.30710414,0.0028275547,0.0001857305,0.00035782176,0.00064385013,0.04110257],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99761987,0.000023869996,0.0007735691,0.0007321198,0.000057623176,0.00079297856],"domain_scores_gemma":[0.998899,0.00009313727,0.0002767636,0.000521304,0.00003361887,0.00017622144],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008537921,0.00032119872,0.00056012324,0.00038561664,0.0003385498,0.00029872538,0.00041781316,0.00018638666,0.0025951404],"category_scores_gemma":[0.00019788876,0.00040565873,0.00023452386,0.0006037366,0.00010177326,0.00056895457,0.00021305119,0.00024353604,0.0035298797],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027689726,0.00003513997,0.0028635683,0.000028076955,0.00004627851,0.000025636604,0.00094008615,0.000018864612,0.00008326492,0.009777442,0.9840292,0.0021247764],"study_design_scores_gemma":[0.0005523649,0.000027888573,0.007298418,0.00002571276,0.0000034663738,0.0000057122415,0.000028898443,0.005335264,0.00014697734,0.011834728,0.97414315,0.00059745176],"about_ca_topic_score_codex":0.01629198,"about_ca_topic_score_gemma":0.00008511516,"teacher_disagreement_score":0.39378187,"about_ca_system_score_codex":0.0001407305,"about_ca_system_score_gemma":0.00002350918,"threshold_uncertainty_score":0.99983954},"labels":[],"label_agreement":null},{"id":"W4383270742","doi":"10.1504/ijmef.2023.131914","title":"Housing regimes and macroeconomy in South Africa: a tripartite analysis","year":2023,"lang":"en","type":"article","venue":"International Journal of Monetary Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Inflation (cosmology); Gross domestic product; Unemployment; Interest rate; Quarter (Canadian coin); Index (typography); Monetary economics; Investment (military); Real gross domestic product; Exchange rate; Macroeconomics","score_opus":0.023505513743233765,"score_gpt":0.21013558034526406,"score_spread":0.1866300666020303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383270742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927548,0.0020341922,0.0002335109,0.00088122295,0.00051220966,0.000055403623,0.00007040285,0.000008517908,0.0034497236],"genre_scores_gemma":[0.97762865,0.021110397,0.00078956824,0.00009293353,0.00014731017,0.0000029293144,0.000008606506,0.000015847807,0.00020378795],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99848783,0.000011218885,0.00095461175,0.000297154,0.000022713048,0.00022645325],"domain_scores_gemma":[0.99895304,0.00007224085,0.0007516169,0.00013277057,0.00003342989,0.00005689581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083902304,0.00014395503,0.00055564294,0.001147201,0.000046625108,0.00015157592,0.00024026823,0.00007704495,0.000022834534],"category_scores_gemma":[0.000033726235,0.0001757231,0.00014959482,0.0002539563,0.00007605775,0.0004672638,0.00009801336,0.00015329765,0.000029629053],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031468878,0.00009039336,0.8621675,0.00001757501,0.0013245194,0.00014856587,0.006083986,0.05458065,0.0000039325196,0.04603609,0.00042510993,0.028807016],"study_design_scores_gemma":[0.003520508,0.00014918057,0.4403581,0.000067492125,0.00010814424,0.000066313754,0.00075894425,0.33519813,0.000021372198,0.08182458,0.13711101,0.0008162218],"about_ca_topic_score_codex":0.00006272212,"about_ca_topic_score_gemma":0.000077783,"teacher_disagreement_score":0.42180938,"about_ca_system_score_codex":0.00008641933,"about_ca_system_score_gemma":0.000025553085,"threshold_uncertainty_score":0.716578},"labels":[],"label_agreement":null},{"id":"W4384158217","doi":"10.1109/aiiot58121.2023.10174323","title":"REALM: Automating Real Estate Appraisal with Machine Learning Models","year":2023,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Machine learning; Artificial intelligence; Computer science; Artificial neural network; Random forest; Relevance (law); Hyperparameter","score_opus":0.04943613141584914,"score_gpt":0.23428484526116797,"score_spread":0.1848487138453188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384158217","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34889993,0.000006746073,0.002951703,0.00019239447,0.0001494589,0.000070936534,0.000014780376,0.0005609518,0.6471531],"genre_scores_gemma":[0.98961323,0.001329714,0.004212755,0.000038805403,0.00008999059,0.000017695495,0.00008054964,0.00007220008,0.004545045],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99868953,0.000013777088,0.00045237935,0.00039321385,0.000027292033,0.00042380893],"domain_scores_gemma":[0.99931633,0.00012517552,0.00022097233,0.00023025816,0.000013825333,0.00009341164],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007678507,0.0001628553,0.0003336644,0.00025020912,0.00019197883,0.00012380249,0.00015491559,0.00007212096,0.0002211498],"category_scores_gemma":[0.000057468875,0.00016940865,0.00006119831,0.0003438461,0.00003724515,0.00036717023,0.000081292725,0.00019079498,0.0011087856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015006878,0.0001012053,0.23152669,0.00015244202,0.0002152219,0.00010669639,0.0057712398,0.33052978,0.000021750826,0.32363933,0.0028529468,0.10493261],"study_design_scores_gemma":[0.00041997255,0.00006201508,0.0030657456,0.000008983014,0.0000032620135,0.000008919238,0.00019357982,0.9785392,0.000006672711,0.005547457,0.011855352,0.0002888175],"about_ca_topic_score_codex":0.0022438783,"about_ca_topic_score_gemma":0.00036255433,"teacher_disagreement_score":0.6480094,"about_ca_system_score_codex":0.000055651053,"about_ca_system_score_gemma":0.000019622035,"threshold_uncertainty_score":0.99966896},"labels":[],"label_agreement":null},{"id":"W4384665647","doi":"10.22215/etd/2022-15463","title":"Quantifying Willingness-to-Pay for Complete Streets","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Property value; Residential property; Value (mathematics); Willingness to pay; Property (philosophy); Land Values; Geography; Business; Transport engineering; Public economics; Engineering; Civil engineering; Economics; Regional science; Land use; Statistics; Mathematics; Finance; Microeconomics","score_opus":0.09370237742492922,"score_gpt":0.288265363215918,"score_spread":0.1945629857909888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384665647","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23893954,0.00072178134,0.0062286123,0.0006735509,0.014533935,0.00213808,0.0024657324,0.00030322178,0.73399556],"genre_scores_gemma":[0.8945777,0.0006034479,0.008914505,0.00094506587,0.0008587975,0.00076795154,0.009510106,0.00042622315,0.083396226],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99781084,0.000008385605,0.00092215993,0.0007682109,0.00003387166,0.0004565151],"domain_scores_gemma":[0.99875546,0.00012528486,0.00053735136,0.00042419758,0.00003826999,0.00011946555],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00060079835,0.000319097,0.00079107,0.0003700501,0.00036775932,0.00017833924,0.00043979575,0.00020194793,0.004374185],"category_scores_gemma":[0.00011949236,0.00037808195,0.00030973853,0.0001912381,0.000008361297,0.00012564327,0.000052503336,0.00026788807,0.00058884895],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010259873,0.00042533776,0.061341792,0.002097551,0.00075646106,0.000011322729,0.0056362767,0.0026735025,0.00010122243,0.8050289,0.06268834,0.0582133],"study_design_scores_gemma":[0.00053425116,0.000117457086,0.0063843546,0.000033447184,0.000021496066,8.8372275e-7,0.0008024409,0.0052644513,0.000028536397,0.013406718,0.9724618,0.00094411464],"about_ca_topic_score_codex":0.0003649014,"about_ca_topic_score_gemma":0.001762629,"teacher_disagreement_score":0.9097735,"about_ca_system_score_codex":0.00020965925,"about_ca_system_score_gemma":0.00005530951,"threshold_uncertainty_score":0.9998671},"labels":[],"label_agreement":null},{"id":"W4384694635","doi":"10.1017/s1351324923000360","title":"Describe the house and I will tell you the price: House price prediction with textual description data","year":2023,"lang":"en","type":"article","venue":"Natural Language Engineering","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Word2vec; Computer science; House price; Boosting (machine learning); Word embedding; Artificial intelligence; Word (group theory); Machine learning; Information retrieval; Data mining; Natural language processing; Embedding; Econometrics; Linguistics; Mathematics","score_opus":0.019698140741209,"score_gpt":0.19196146109524972,"score_spread":0.17226332035404074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384694635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900943,0.0033602708,0.0029211708,0.00051281054,0.0006652988,0.00032867078,0.00015157303,0.00075988256,0.0012060336],"genre_scores_gemma":[0.99801785,0.00056951446,0.00047762113,0.00007542457,0.00031707648,0.000013407932,0.00005082138,0.00007284422,0.00040546563],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990473,0.000010137228,0.00024931532,0.00033781966,0.000045320936,0.00031012337],"domain_scores_gemma":[0.99915653,0.00011003248,0.00010115904,0.0005716565,0.0000125025035,0.000048134927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006850721,0.00016102266,0.00017093263,0.00012029596,0.00017228715,0.00022765037,0.0003889682,0.0000760459,0.000015896701],"category_scores_gemma":[0.00018874959,0.000110818895,0.000029035944,0.00034879567,0.00004211166,0.0006732836,0.0001822423,0.00034144928,0.00007378188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012067539,0.0005511616,0.23651212,0.001917836,0.0031176333,0.00054905785,0.12929142,0.20095843,0.0101038655,0.076036386,0.09376848,0.24598686],"study_design_scores_gemma":[0.00091630366,0.00008195343,0.09746514,0.000066428554,0.00004397252,0.00009456861,0.0023428218,0.82347894,0.00009476412,0.00011035395,0.074670665,0.0006340727],"about_ca_topic_score_codex":0.00012559668,"about_ca_topic_score_gemma":0.000047400867,"teacher_disagreement_score":0.6225205,"about_ca_system_score_codex":0.00007431118,"about_ca_system_score_gemma":0.00000920407,"threshold_uncertainty_score":0.45190635},"labels":[],"label_agreement":null},{"id":"W4384823605","doi":"10.32920/23710326.v1","title":"Seller Financing: Contracting Out of the Lemons and Moral Hazard Problems When They May Co-Exist","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Moral hazard; Asset (computer security); Business; Database transaction; Finance; Loan; Quality (philosophy); Asset quality; Annuity; Economics; Microeconomics; Incentive; Computer security","score_opus":0.10698938319751114,"score_gpt":0.2556768589973709,"score_spread":0.14868747579985978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384823605","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39223075,0.0005341744,0.00067037536,0.0035491635,0.004253175,0.0010686368,0.0005607295,0.00021736565,0.5969156],"genre_scores_gemma":[0.98819023,0.0012127615,0.0008056685,0.00011130471,0.000172049,0.000041516014,0.000030328678,0.000091806935,0.00934431],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978509,0.000025597765,0.0010639444,0.000618721,0.000039260678,0.00040157518],"domain_scores_gemma":[0.9981911,0.0001570263,0.00081448193,0.0007275485,0.000034451772,0.00007538241],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011312108,0.0003328292,0.00086618966,0.00016869069,0.00016363985,0.00020713187,0.00048529156,0.00036972854,0.00011811267],"category_scores_gemma":[0.00013708946,0.0003097688,0.0002580221,0.00004848678,0.00013584623,0.00011424998,0.00058207114,0.00061389676,0.00017781607],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003451149,0.00014719534,0.85629725,0.0012839191,0.000592117,0.0000053527438,0.0083801085,0.009300197,0.00002742865,0.086877145,0.03201186,0.005042921],"study_design_scores_gemma":[0.0016105592,0.000075817254,0.084550366,0.0005783599,0.000093124705,0.000009054946,0.00067854114,0.039298233,0.00027711774,0.74741524,0.12336026,0.0020533435],"about_ca_topic_score_codex":0.0012009968,"about_ca_topic_score_gemma":0.0018317853,"teacher_disagreement_score":0.7717469,"about_ca_system_score_codex":0.0001223616,"about_ca_system_score_gemma":0.00007745025,"threshold_uncertainty_score":0.99993545},"labels":[],"label_agreement":null},{"id":"W4384825164","doi":"10.32920/23710326","title":"Seller Financing: Contracting Out of the Lemons and Moral Hazard Problems When They May Co-Exist","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Moral hazard; Asset (computer security); Database transaction; Business; Loan; Finance; Quality (philosophy); Asset quality; Economics; Microeconomics; Incentive; Computer security","score_opus":0.10698938319751114,"score_gpt":0.2556768589973709,"score_spread":0.14868747579985978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384825164","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39223075,0.0005341744,0.00067037536,0.0035491635,0.004253175,0.0010686368,0.0005607295,0.00021736565,0.5969156],"genre_scores_gemma":[0.98819023,0.0012127615,0.0008056685,0.00011130471,0.000172049,0.000041516014,0.000030328678,0.000091806935,0.00934431],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978509,0.000025597765,0.0010639444,0.000618721,0.000039260678,0.00040157518],"domain_scores_gemma":[0.9981911,0.0001570263,0.00081448193,0.0007275485,0.000034451772,0.00007538241],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011312108,0.0003328292,0.00086618966,0.00016869069,0.00016363985,0.00020713187,0.00048529156,0.00036972854,0.00011811267],"category_scores_gemma":[0.00013708946,0.0003097688,0.0002580221,0.00004848678,0.00013584623,0.00011424998,0.00058207114,0.00061389676,0.00017781607],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003451149,0.00014719534,0.85629725,0.0012839191,0.000592117,0.0000053527438,0.0083801085,0.009300197,0.00002742865,0.086877145,0.03201186,0.005042921],"study_design_scores_gemma":[0.0016105592,0.000075817254,0.084550366,0.0005783599,0.000093124705,0.000009054946,0.00067854114,0.039298233,0.00027711774,0.74741524,0.12336026,0.0020533435],"about_ca_topic_score_codex":0.0012009968,"about_ca_topic_score_gemma":0.0018317853,"teacher_disagreement_score":0.7717469,"about_ca_system_score_codex":0.0001223616,"about_ca_system_score_gemma":0.00007745025,"threshold_uncertainty_score":0.99993545},"labels":[],"label_agreement":null},{"id":"W4384936693","doi":"10.1016/j.heliyon.2023.e18476","title":"Moments and momentum in the returns of securitized real estate: A cross-country study of risk factors driving real estate investment trusts before and during COVID-19","year":2023,"lang":"en","type":"article","venue":"Heliyon","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate investment trust; Real estate; Financial economics; Business; Equity (law); Momentum (technical analysis); Economics; Monetary economics; Finance","score_opus":0.02103438082579949,"score_gpt":0.265127839594329,"score_spread":0.2440934587685295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384936693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99712753,0.000032841777,4.9560674e-7,0.000027772372,0.00012897505,0.00043258432,0.00021553213,0.000028438062,0.0020058556],"genre_scores_gemma":[0.9721048,0.02774812,0.000012053793,0.0000118886155,0.000020132,0.000025618157,0.000025938718,0.00002474684,0.000026707141],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99840605,0.000057088877,0.0007695988,0.00038795406,0.00006359852,0.00031569583],"domain_scores_gemma":[0.99895257,0.00016151358,0.00048155605,0.00028694145,0.00001241909,0.000104994746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011076008,0.00017510133,0.00046714093,0.0003739052,0.00013909378,0.00008526552,0.0001550045,0.00008294122,0.000012156206],"category_scores_gemma":[0.00016326738,0.00017273772,0.000041302563,0.00032997518,0.00011358484,0.00019982117,0.00014586475,0.00015854521,0.0000023767477],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007105581,0.00012290226,0.9375845,0.00029485553,0.00004220903,0.000014362577,0.061172858,0.00022550173,0.00002247157,0.00018931874,0.0000049676464,0.0002549777],"study_design_scores_gemma":[0.0021851584,0.00016780908,0.9848986,0.000038493265,0.000012001472,0.0000019059189,0.010351625,0.00080435176,0.000019211668,0.0012575045,0.000111808564,0.00015150753],"about_ca_topic_score_codex":0.0064708013,"about_ca_topic_score_gemma":0.0059606154,"teacher_disagreement_score":0.050821234,"about_ca_system_score_codex":0.0001504691,"about_ca_system_score_gemma":0.000026253547,"threshold_uncertainty_score":0.9781959},"labels":[],"label_agreement":null},{"id":"W4385314970","doi":"10.2139/ssrn.4521124","title":"Understanding Rationality and Disagreement in House Price Expectations","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Rationality; Rational expectations; House price; Econometrics; Price dispersion; Dispersion (optics); Term (time)","score_opus":0.07779832654506977,"score_gpt":0.24456672151552616,"score_spread":0.1667683949704564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385314970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95722115,0.00080055505,0.024451697,0.002558023,0.0002801357,0.00013419722,0.000007917553,0.00006864528,0.014477668],"genre_scores_gemma":[0.99427754,0.00517727,0.00005070662,0.00003351712,0.00008117127,0.0000058127607,0.0000040118407,0.000018599087,0.00035138807],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985392,0.000016615222,0.00036942953,0.00017758209,0.00002630566,0.00087084726],"domain_scores_gemma":[0.9996528,0.00005977343,0.0001502866,0.00008369415,0.0000069861435,0.00004645106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017361429,0.00007996552,0.00015524466,0.00028484254,0.00017641335,0.00009016234,0.00008705254,0.000040831917,0.00003477992],"category_scores_gemma":[0.000071881506,0.000096380216,0.00004126295,0.00026588413,0.000027289101,0.00024443577,0.000028305409,0.0004066387,0.00013437208],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011687733,0.000023778073,0.09342639,0.0000042452334,0.00003345671,0.000001547152,0.00080923457,0.00024870265,0.000003321819,0.90481824,0.0001152017,0.0005041919],"study_design_scores_gemma":[0.0005540275,0.00003792114,0.019233763,0.000006343527,0.0000023607554,0.000018885894,0.0049664904,0.0033526397,0.0000012866875,0.9709054,0.0007774543,0.00014338108],"about_ca_topic_score_codex":0.00005121149,"about_ca_topic_score_gemma":0.0012595062,"teacher_disagreement_score":0.07419263,"about_ca_system_score_codex":0.0014774929,"about_ca_system_score_gemma":0.00017392608,"threshold_uncertainty_score":0.39302713},"labels":[],"label_agreement":null},{"id":"W4385422278","doi":"10.1080/09654313.2023.2240843","title":"Leveraging land-value capture in contexts of urban austerity: evidence from the Grand Paris Express (France)","year":2023,"lang":"en","type":"article","venue":"European Planning Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"CHIST-ERA; Agence Nationale de la Recherche","keywords":"Austerity; Politics; Corporate governance; Value (mathematics); Public value; Public administration; Urbanism; Political science; Sociology; Economics; Finance; Geography; Law","score_opus":0.08568159429849687,"score_gpt":0.26876595522729774,"score_spread":0.18308436092880087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385422278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.969912,0.018661482,0.00008601567,0.0006306868,0.00060941634,0.0001282411,0.00006186721,0.00006365979,0.009846631],"genre_scores_gemma":[0.99631846,0.002506345,0.00007867806,0.0001853128,0.00018505743,0.000006106734,0.000010559491,0.00003053441,0.00067895086],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998683,0.00009696982,0.00055561477,0.00035422147,0.000035594356,0.00027464193],"domain_scores_gemma":[0.9987871,0.0005900066,0.00027864362,0.00029693972,0.000019491124,0.000027787059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013372342,0.00016424214,0.00047623433,0.00011232951,0.00015543986,0.00006366682,0.00029853606,0.000032284548,0.000012734154],"category_scores_gemma":[0.00037279967,0.00014726554,0.00007216212,0.00020900354,0.000107081505,0.00015931652,0.0002210069,0.00019494223,0.00014882558],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033347536,0.0000104643905,0.9390934,0.000042052943,0.00009808469,0.000042625074,0.04075338,0.0019640657,0.000015218898,0.00011841782,0.017356,0.00047295133],"study_design_scores_gemma":[0.00093429076,0.000035052213,0.94807816,0.0011123178,0.00001764937,0.0000017455866,0.0036773486,0.0016307918,0.000030616346,0.001103652,0.04296424,0.00041414853],"about_ca_topic_score_codex":0.00046327827,"about_ca_topic_score_gemma":0.000029220539,"teacher_disagreement_score":0.037076034,"about_ca_system_score_codex":0.00003341468,"about_ca_system_score_gemma":0.000006559499,"threshold_uncertainty_score":0.6005314},"labels":[],"label_agreement":null},{"id":"W4385433975","doi":"10.2139/ssrn.4526304","title":"Understanding Rationality and Disagreement in House Price Expectations","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; House price; Rationality; Download; Econometrics; Rational expectations; Price dispersion; Dispersion (optics); Computer science","score_opus":0.07779832654506977,"score_gpt":0.24456672151552616,"score_spread":0.1667683949704564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385433975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95722115,0.00080055505,0.024451697,0.002558023,0.0002801357,0.00013419722,0.000007917553,0.00006864528,0.014477668],"genre_scores_gemma":[0.99427754,0.00517727,0.00005070662,0.00003351712,0.00008117127,0.0000058127607,0.0000040118407,0.000018599087,0.00035138807],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985392,0.000016615222,0.00036942953,0.00017758209,0.00002630566,0.00087084726],"domain_scores_gemma":[0.9996528,0.00005977343,0.0001502866,0.00008369415,0.0000069861435,0.00004645106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017361429,0.00007996552,0.00015524466,0.00028484254,0.00017641335,0.00009016234,0.00008705254,0.000040831917,0.00003477992],"category_scores_gemma":[0.000071881506,0.000096380216,0.00004126295,0.00026588413,0.000027289101,0.00024443577,0.000028305409,0.0004066387,0.00013437208],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011687733,0.000023778073,0.09342639,0.0000042452334,0.00003345671,0.000001547152,0.00080923457,0.00024870265,0.000003321819,0.90481824,0.0001152017,0.0005041919],"study_design_scores_gemma":[0.0005540275,0.00003792114,0.019233763,0.000006343527,0.0000023607554,0.000018885894,0.0049664904,0.0033526397,0.0000012866875,0.9709054,0.0007774543,0.00014338108],"about_ca_topic_score_codex":0.00005121149,"about_ca_topic_score_gemma":0.0012595062,"teacher_disagreement_score":0.07419263,"about_ca_system_score_codex":0.0014774929,"about_ca_system_score_gemma":0.00017392608,"threshold_uncertainty_score":0.39302713},"labels":[],"label_agreement":null},{"id":"W4385450016","doi":"10.2139/ssrn.4527329","title":"Rent Control and Tenants’ Benefits: Stability or Affordability? Evidence from New York City","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Control (management); Public economics; Economics; Business; Management","score_opus":0.06662423644244411,"score_gpt":0.23419970737876822,"score_spread":0.1675754709363241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385450016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9861976,0.007058629,0.0028965245,0.0022746634,0.0005276655,0.00021989812,0.00007714112,0.00008263998,0.00066523784],"genre_scores_gemma":[0.9741337,0.024448154,0.0001449942,0.00010683344,0.00042669644,0.0000069414245,0.0000062285303,0.000032312462,0.00069416076],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966228,0.000049862003,0.0008312471,0.0005559239,0.0000606053,0.0018795859],"domain_scores_gemma":[0.9985021,0.00041338016,0.00040738157,0.00040600414,0.0000320059,0.00023912525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044935476,0.00023138263,0.00056225713,0.00017279647,0.00027745627,0.00020516162,0.00036159492,0.0001412207,0.00037828184],"category_scores_gemma":[0.0008214903,0.00021307536,0.00015583141,0.00031753944,0.0000796297,0.00046993242,0.000082665465,0.0009922631,0.0002173423],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00083564775,0.00010297243,0.88518614,0.00002554719,0.00032731073,0.0000046451337,0.0010875722,0.00018169024,0.000034777888,0.0306389,0.0009657374,0.08060906],"study_design_scores_gemma":[0.0024049915,0.00046913535,0.13595298,0.000089477486,0.000042452364,0.000051785446,0.0011425769,0.004367611,0.000030513364,0.8499397,0.0048844363,0.00062433165],"about_ca_topic_score_codex":0.002504925,"about_ca_topic_score_gemma":0.0074667837,"teacher_disagreement_score":0.81930083,"about_ca_system_score_codex":0.001067375,"about_ca_system_score_gemma":0.0008976241,"threshold_uncertainty_score":0.8688961},"labels":[],"label_agreement":null},{"id":"W4385521262","doi":"10.3386/w31516","title":"Understanding Rationality and Disagreement in House Price Expectations","year":2023,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Rationality; House price; Economics; Psychology; Positive economics; Mathematical economics; Econometrics; Philosophy; Epistemology","score_opus":0.7771721625613391,"score_gpt":0.5136837782706123,"score_spread":0.26348838429072685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385521262","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010179264,0.00072603434,0.00013246374,0.001486877,0.0009759843,0.0007451783,0.00040252673,0.000053366966,0.9852983],"genre_scores_gemma":[0.9902088,0.0049574547,0.00019116852,0.00001302382,0.0004558887,0.00014236782,0.00031373883,0.00009833698,0.0036192383],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969803,0.00007241207,0.0014555414,0.0007434656,0.0002953113,0.0004529701],"domain_scores_gemma":[0.99753034,0.0012201308,0.00059852883,0.00029467623,0.00024917518,0.000107120984],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008077896,0.00021652221,0.0006849601,0.0019094121,0.00017350058,0.00014446925,0.00031654764,0.00032977422,0.00035999404],"category_scores_gemma":[0.0015633416,0.00028955902,0.00012975345,0.00035596066,0.00025047798,0.00029043437,0.00021447284,0.0005407265,0.0005061487],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003100091,0.00008950157,0.030517295,0.00020963994,0.000131858,0.0000030745105,0.00046701063,0.00077551615,0.0000018873158,0.9424928,0.0251456,0.00013481129],"study_design_scores_gemma":[0.0005710271,0.00004152542,0.008854206,0.000093190276,0.0000039143233,0.0000040755704,0.0005384967,0.0034446782,0.0000038836633,0.9791067,0.0070116986,0.0003265614],"about_ca_topic_score_codex":0.0021588705,"about_ca_topic_score_gemma":0.0020132232,"teacher_disagreement_score":0.9816791,"about_ca_system_score_codex":0.0061143585,"about_ca_system_score_gemma":0.0012022831,"threshold_uncertainty_score":0.99995565},"labels":[],"label_agreement":null},{"id":"W4385729053","doi":"10.24043/001c.84887","title":"Is Rising Residential Land Prices a Consequence of Domestic or Foreign Land Demand? Evidence From Mauritius Island","year":2023,"lang":"en","type":"article","venue":"Island Studies Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; Economics; Land use; Agricultural economics; Population; Investment (military); Foreign direct investment; Unemployment; Natural resource economics; Macroeconomics; Finance; Ecology","score_opus":0.09905452303178089,"score_gpt":0.30933445057576775,"score_spread":0.21027992754398686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385729053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9836132,0.009860552,0.0012282904,0.0006672696,0.0008042524,0.00013394954,0.00025406058,0.000032802753,0.0034056448],"genre_scores_gemma":[0.9578449,0.04054581,0.00050093664,0.00008527849,0.000527558,0.0000068319723,0.000005102979,0.000025641602,0.00045794266],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980684,0.00004105568,0.0009904231,0.00037325604,0.000089969195,0.00043690705],"domain_scores_gemma":[0.99799037,0.0008609316,0.00070767954,0.00024290489,0.00009760948,0.00010050767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012710309,0.00022097968,0.00078697345,0.0003215636,0.00038476477,0.00022181451,0.00029591518,0.00010436316,0.00036625843],"category_scores_gemma":[0.00084655546,0.00018949236,0.00015858689,0.0003122579,0.00017771103,0.00042246105,0.00014353504,0.00025018075,0.00016046643],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000565878,0.000041739284,0.9721469,0.0002121192,0.0007936609,0.0008565739,0.0054979646,0.0005910366,0.000035685855,0.00019944234,0.018159753,0.00089919945],"study_design_scores_gemma":[0.011596002,0.0013039894,0.440208,0.0044865017,0.00052323856,0.0025246579,0.005387739,0.019509388,0.00047871206,0.49741858,0.01386078,0.0027023994],"about_ca_topic_score_codex":0.00046150174,"about_ca_topic_score_gemma":0.0015560224,"teacher_disagreement_score":0.53193897,"about_ca_system_score_codex":0.00008856587,"about_ca_system_score_gemma":0.00007395755,"threshold_uncertainty_score":0.77272743},"labels":[],"label_agreement":null},{"id":"W4385789888","doi":"10.2139/ssrn.4536866","title":"Spatial Extrapolation in Housing Markets","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Extrapolation; Econometrics; Geography; Business; Economic geography; Economics; Statistics; Mathematics","score_opus":0.017678790574262315,"score_gpt":0.2137306683894908,"score_spread":0.1960518778152285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385789888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9623211,0.0005794673,0.0076779528,0.0006531629,0.00067221484,0.00008788364,0.0000035727746,0.00006203294,0.027942602],"genre_scores_gemma":[0.9928268,0.006093537,0.00005084569,0.00004098628,0.00030452595,0.0000030657156,0.0000072949756,0.000032644944,0.00064029876],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975755,0.000024075525,0.00052800775,0.00022548989,0.000029496552,0.0016174158],"domain_scores_gemma":[0.99953395,0.00003934231,0.0002331483,0.00013140547,0.000010995712,0.000051129853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003331006,0.00011656302,0.00023399158,0.00055854506,0.0001344744,0.000094160045,0.00016852967,0.000092522525,0.00011046472],"category_scores_gemma":[0.000087969405,0.00014760213,0.000093855095,0.00036895354,0.000020308105,0.00028926018,0.00003111171,0.0008122239,0.00056223624],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001399501,0.00007624515,0.5093447,0.000014043073,0.00008851819,0.000018336905,0.0005074681,0.00087125675,0.000042464064,0.31846368,0.00032285918,0.17011048],"study_design_scores_gemma":[0.0010440962,0.00006720053,0.10790502,0.00001732461,0.000003842222,0.00005285476,0.00039299094,0.023309886,0.000008160698,0.8590388,0.007829732,0.0003300957],"about_ca_topic_score_codex":0.0003606732,"about_ca_topic_score_gemma":0.002641557,"teacher_disagreement_score":0.5405751,"about_ca_system_score_codex":0.00095730234,"about_ca_system_score_gemma":0.0002559831,"threshold_uncertainty_score":0.72265965},"labels":[],"label_agreement":null},{"id":"W4385847223","doi":"10.1016/j.cities.2023.104523","title":"A latent auction model of firm establishment location choice in the Greater Toronto Area","year":2023,"lang":"en","type":"article","venue":"Cities","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scope (computer science); Service (business); Population; Business; Range (aeronautics); Industrial organization; Transport engineering; Computer science; Marketing; Engineering","score_opus":0.06981856869511849,"score_gpt":0.22259080067555076,"score_spread":0.15277223198043227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385847223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97479796,0.00015965752,0.0005149654,0.00039435597,0.0002207311,0.00011316579,0.000023352644,0.000025708336,0.023750104],"genre_scores_gemma":[0.99846655,0.00030228755,0.00003182836,0.00008749478,0.000042525044,0.000032746142,0.000018390789,0.000008534965,0.0010096604],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994244,0.000006810749,0.00028104018,0.00013485047,0.000018579623,0.00013431105],"domain_scores_gemma":[0.99966526,0.000030749485,0.00010066938,0.00017643,0.000014253231,0.000012608096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004089794,0.000063499225,0.00013928079,0.000085896085,0.000038833103,0.000039139253,0.00011256953,0.000030137986,0.00007156747],"category_scores_gemma":[0.000029882889,0.000061263585,0.000035735702,0.00011124355,0.000027069611,0.00028379328,0.000024048944,0.00003801795,0.0000500845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000087569606,0.00019240465,0.5656716,0.00035324812,0.000087589404,0.0000035957391,0.033755817,0.2765224,0.000038954717,0.10114616,0.015367836,0.006772826],"study_design_scores_gemma":[0.0007112434,0.0000679692,0.32315898,0.000053897296,0.000009385799,0.000002020301,0.0030158863,0.6208543,0.00010364967,0.043172818,0.008493992,0.00035582975],"about_ca_topic_score_codex":0.0018824501,"about_ca_topic_score_gemma":0.0010409061,"teacher_disagreement_score":0.34433195,"about_ca_system_score_codex":0.0001388093,"about_ca_system_score_gemma":0.000010477234,"threshold_uncertainty_score":0.28457138},"labels":[],"label_agreement":null},{"id":"W4385879245","doi":"10.1007/s41549-023-00085-1","title":"The Usefulness of High-Frequency Alternative Data to Obtain Nowcasts for Japan’s GDP: Evidence from Credit Card Data","year":2023,"lang":"en","type":"article","venue":"Journal of Business Cycle Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science London","keywords":"Nowcasting; Credit card; Real-time data; Computer science; Smart card; Coronavirus disease 2019 (COVID-19); Quarter (Canadian coin); Econometrics; Economics; Geography; Computer security; World Wide Web","score_opus":0.44727011394347344,"score_gpt":0.38953038122151556,"score_spread":0.05773973272195787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385879245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9789488,0.0009178129,0.0051328316,0.008607864,0.001940454,0.0004215634,0.003691453,0.000012634805,0.0003266018],"genre_scores_gemma":[0.99050725,0.005620234,0.001929237,0.000024583314,0.0015031089,0.00001799731,0.00017312123,0.00005142712,0.00017305909],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99725443,0.000113706476,0.0012149462,0.00055691856,0.00026749284,0.0005925053],"domain_scores_gemma":[0.9930218,0.0030838626,0.00073705247,0.002073493,0.0009119818,0.00017184134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011571685,0.00015518414,0.0006359767,0.0006328534,0.00032105076,0.00032242536,0.004504878,0.00009731971,0.000051540275],"category_scores_gemma":[0.008096568,0.00013666162,0.000076461336,0.0012463431,0.00018123495,0.001447525,0.0014412233,0.00038847525,0.00015783489],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005691298,0.0010557185,0.20271428,0.0014951022,0.0031083857,0.0003058649,0.009054522,0.037287403,0.0037682254,0.024825262,0.43818185,0.27251208],"study_design_scores_gemma":[0.004345013,0.00063007866,0.50150496,0.0018767449,0.000105658575,0.000042719985,0.0028039096,0.17593862,0.0008482776,0.1979217,0.11266694,0.001315405],"about_ca_topic_score_codex":0.0050009796,"about_ca_topic_score_gemma":0.0009148914,"teacher_disagreement_score":0.3255149,"about_ca_system_score_codex":0.00021406262,"about_ca_system_score_gemma":0.00030854403,"threshold_uncertainty_score":0.9692933},"labels":[],"label_agreement":null},{"id":"W4385879303","doi":"10.1080/09277544.2023.2236175","title":"A Proposal for a Residential Housing Price Index in Cyprus Through Analysis of Transaction-Based Data and Comparison With Existing Indices","year":2023,"lang":"en","type":"article","venue":"Journal of Real Estate Literature","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Database transaction; Index (typography); Econometrics; Transaction data; Quarter (Canadian coin); Apartment; Sample (material); Price index; Computer science; Variable (mathematics); Statistics; Economics; Database; Mathematics; Geography; Finance; Engineering","score_opus":0.04609487828944128,"score_gpt":0.29472547869342325,"score_spread":0.24863060040398197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385879303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906205,0.00014151189,0.007257912,0.00031115624,0.0001210449,0.00013766717,0.0003906578,0.0000100389425,0.0010095008],"genre_scores_gemma":[0.99165523,0.0009870977,0.00712696,0.000013086995,0.00006924978,0.000001894641,0.00011773503,0.0000180178,0.000010733966],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986693,0.000023792823,0.0008356433,0.00022944986,0.000052262083,0.00018952388],"domain_scores_gemma":[0.9984353,0.0001599897,0.0011065878,0.0001838644,0.000068391666,0.000045865057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090614543,0.00011673616,0.00062443555,0.00089365395,0.00006246054,0.00016977475,0.00019839538,0.00009495812,0.000004702884],"category_scores_gemma":[0.00006530401,0.00010914392,0.000082674946,0.0012378853,0.000051982748,0.0006906176,0.000021174375,0.00024022032,2.6408802e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036857075,0.00026964681,0.88004804,0.0008436239,0.001382038,0.0001267204,0.02266201,0.06887069,0.00008084491,0.0010143969,0.00025805915,0.02075824],"study_design_scores_gemma":[0.005385594,0.0006428278,0.2354677,0.0007390834,0.0005392067,0.000027371285,0.0022189496,0.7455326,0.00014659134,0.0039794105,0.0047519356,0.0005687595],"about_ca_topic_score_codex":0.0002803443,"about_ca_topic_score_gemma":0.0011967302,"teacher_disagreement_score":0.6766619,"about_ca_system_score_codex":0.00005135006,"about_ca_system_score_gemma":0.00010569011,"threshold_uncertainty_score":0.445076},"labels":[],"label_agreement":null},{"id":"W4386014444","doi":"10.58314/ehi890","title":"Societal Relevance of Financial Management: A Case Study in Developing and Developed Countries","year":2023,"lang":"en","type":"article","venue":"American Journal of Multidisciplinary Research in Africa","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Developing country; Financial management; Transparency (behavior); Finance; Relevance (law); Accounting management; Order (exchange); Business; Recession; Developed country; Economics; Accounting; Economic growth; Political science; Accounting information system; Sociology","score_opus":0.12383529939687435,"score_gpt":0.35886674182424905,"score_spread":0.2350314424273747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386014444","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965978,0.00026245354,0.000085111526,0.0005804936,0.00010311111,0.00026700072,0.000010984456,0.0000067181822,0.0020862762],"genre_scores_gemma":[0.9937826,0.0027909991,0.0032708368,0.000006247247,0.00003499935,0.000017151162,6.2940103e-7,0.000020081896,0.00007648522],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978048,0.00013897504,0.0011144708,0.00029510984,0.00012196766,0.0005246694],"domain_scores_gemma":[0.99863005,0.0005427871,0.00047385576,0.00017567548,0.000091334536,0.00008629689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0061825896,0.00012920624,0.00061644096,0.0015258202,0.00014430896,0.000042373882,0.00028589502,0.000041681415,0.000007376315],"category_scores_gemma":[0.0002483461,0.00014224373,0.000057364206,0.0020733047,0.00040376402,0.00027367115,0.0003973518,0.0004082542,0.000018318962],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005235109,0.00039445574,0.9179409,0.0001837476,0.00006837928,0.008699317,0.034457486,0.0004233235,0.000005829422,0.0032014276,0.00023063234,0.033870947],"study_design_scores_gemma":[0.0048253383,0.0020113431,0.85282195,0.0004893323,0.00001019668,0.0006396154,0.10854466,0.0056466404,0.000011311345,0.018962007,0.0053724977,0.0006651239],"about_ca_topic_score_codex":0.00024379473,"about_ca_topic_score_gemma":0.00031531384,"teacher_disagreement_score":0.07408717,"about_ca_system_score_codex":0.0002734984,"about_ca_system_score_gemma":0.000169398,"threshold_uncertainty_score":0.58005315},"labels":[],"label_agreement":null},{"id":"W4386219830","doi":"10.3905/jpm.2023.1.532","title":"Twenty Years of the Real Estate Special Issue: What Might the Next Twenty Years Bring?","year":2023,"lang":"en","type":"article","venue":"The Journal of Portfolio Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Real estate; Investment (military); Context (archaeology); Real estate investment trust; Business; Corporate Real Estate; Real estate development; Capitalization rate; Property (philosophy); Finance; Economics; Political science; Geography; Politics","score_opus":0.025826372386497164,"score_gpt":0.22531513322537236,"score_spread":0.1994887608388752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386219830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87070954,0.00014552599,0.000023568999,0.0018540286,0.0038697175,0.00025740673,0.000010731085,0.00001299551,0.123116486],"genre_scores_gemma":[0.8824382,0.10407177,0.00008487733,0.0004398657,0.0024206296,0.000003613015,0.0000032377447,0.00005846027,0.010479358],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99847895,0.0000550029,0.00088107376,0.00014713114,0.00012594681,0.00031188026],"domain_scores_gemma":[0.9981703,0.000075534364,0.0011318554,0.0005403925,0.000026544138,0.000055380275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027817737,0.00013159725,0.00033275722,0.00022058286,0.00011763718,0.00018566284,0.0009241454,0.000043424297,0.00058727985],"category_scores_gemma":[0.000027071015,0.000092153496,0.00026351018,0.00043954895,0.00012640857,0.00037479564,0.00034545024,0.00023129601,0.00037422762],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033366703,0.00023377188,0.02692125,0.00011599751,0.0012405029,0.00017517801,0.009763394,0.007800304,0.000011927309,0.01575513,0.33634692,0.60130197],"study_design_scores_gemma":[0.0005578818,0.000049436534,0.25528166,0.000060657298,0.000087353124,0.00001341135,0.0025675984,0.00046577703,0.000018950852,0.006050925,0.73468405,0.00016230441],"about_ca_topic_score_codex":0.00018018654,"about_ca_topic_score_gemma":0.000053703377,"teacher_disagreement_score":0.60113966,"about_ca_system_score_codex":0.00010512377,"about_ca_system_score_gemma":0.000020546788,"threshold_uncertainty_score":0.6430302},"labels":[],"label_agreement":null},{"id":"W4386242968","doi":"10.1016/j.frl.2023.104390","title":"COVID-19, home equity and retirement funding","year":2023,"lang":"en","type":"article","venue":"Finance research letters","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Equity (law); Business; Home equity; Health and Retirement Study; Balance (ability); Work (physics); 2019-20 coronavirus outbreak; Finance; Medicine; Political science; Gerontology","score_opus":0.2787332813993426,"score_gpt":0.3824077913413301,"score_spread":0.10367450994198751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386242968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9206497,0.00036469768,0.00061390793,0.045874584,0.00048294498,0.00032265735,0.000078094934,0.00015225653,0.031461164],"genre_scores_gemma":[0.9924343,0.003641268,0.0002767434,0.0022681444,0.00020239963,0.00006809285,0.00002277533,0.000036704805,0.0010495676],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978636,0.00005009458,0.0004002544,0.0005940609,0.00010630879,0.0009857096],"domain_scores_gemma":[0.9989206,0.00025383927,0.00011023024,0.00040502232,0.000018617173,0.00029167373],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0054477253,0.0001354783,0.00029871237,0.00062909717,0.0005186483,0.00024730965,0.00038682637,0.000082130515,0.00024127073],"category_scores_gemma":[0.000896834,0.00017112799,0.00006424388,0.0007591441,0.00026449832,0.0002496807,0.0008018751,0.000339208,0.0015972572],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014762237,0.00008512706,0.22029386,0.00068186445,0.000079385165,0.0002476533,0.0023271018,0.0009626806,0.0009643997,0.27757707,0.46551257,0.031120649],"study_design_scores_gemma":[0.0009575234,0.00009483838,0.06485465,0.00004386341,0.0000020330851,0.0000059379404,0.00015635308,0.006559969,0.00004986605,0.09320494,0.833512,0.0005580445],"about_ca_topic_score_codex":0.0003816804,"about_ca_topic_score_gemma":0.000044395852,"teacher_disagreement_score":0.36799943,"about_ca_system_score_codex":0.0006316805,"about_ca_system_score_gemma":0.00008122678,"threshold_uncertainty_score":0.99918014},"labels":[],"label_agreement":null},{"id":"W4386257789","doi":"10.1016/j.apmrv.2023.08.002","title":"A long short-term memory model for forecasting housing prices in Taiwan in the post-epidemic era through big data analytics","year":2023,"lang":"en","type":"article","venue":"Asia Pacific Management Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Big data; Econometrics; Term (time); Index (typography); Price index; Economics; Computer science; Geography; Data mining","score_opus":0.24564884881236906,"score_gpt":0.3094071629573024,"score_spread":0.06375831414493335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386257789","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07220444,0.07181236,0.10214956,0.022720335,0.0023273153,0.015047023,0.0007063748,0.00043493163,0.71259767],"genre_scores_gemma":[0.8040856,0.18718253,0.0056040334,0.0012040609,0.00021446025,0.0003672452,0.0007602759,0.000097720535,0.00048408523],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972686,0.000037283222,0.0012876261,0.00076858135,0.000060327555,0.00057758513],"domain_scores_gemma":[0.9982029,0.00013321194,0.0003828003,0.0012279509,0.000016724707,0.000036403762],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0051726713,0.00026124233,0.0007435241,0.0003810069,0.00012734596,0.00015741015,0.0009912004,0.00007110696,0.00001773541],"category_scores_gemma":[0.00018877773,0.00025104792,0.00014735664,0.0009854579,0.000039789575,0.0004764638,0.00038351514,0.00021235146,0.00007048132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042656477,0.00026694595,0.08904884,0.016924383,0.00027708217,0.00014571042,0.003021198,0.008593287,5.936974e-7,0.03076418,0.017793756,0.83312136],"study_design_scores_gemma":[0.0005866312,0.000032056618,0.007195368,0.0023106649,0.00011934328,0.0000062883964,0.00158748,0.9293317,2.1337273e-7,0.00978289,0.04834451,0.0007028161],"about_ca_topic_score_codex":0.000053137424,"about_ca_topic_score_gemma":0.0006059811,"teacher_disagreement_score":0.92073846,"about_ca_system_score_codex":0.00014412179,"about_ca_system_score_gemma":0.000021199305,"threshold_uncertainty_score":0.99999416},"labels":[],"label_agreement":null},{"id":"W4386389504","doi":"10.2139/ssrn.4560095","title":"Effect of Conventional and Unconventional Monetary Policy Shocks on Housing Prices in Canada","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Monetary policy; Economics; Monetary economics; Natural resource economics; Macroeconomics","score_opus":0.01325769168322428,"score_gpt":0.22247487913511632,"score_spread":0.20921718745189205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386389504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934822,0.002160508,0.00034499692,0.00064471696,0.0009225235,0.00020302933,0.00012646493,0.000010775676,0.002104786],"genre_scores_gemma":[0.9905128,0.00875754,0.00003366044,0.00004117767,0.00034302607,0.00000996306,0.00005611667,0.000047359135,0.00019837428],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99727404,0.00005337679,0.0009453055,0.00042837457,0.00008487507,0.0012140287],"domain_scores_gemma":[0.9986417,0.00020784151,0.00085153995,0.0001926095,0.000022085529,0.000084203806],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003173924,0.00027531132,0.00072728225,0.0007110343,0.00009028046,0.000062969215,0.00028791148,0.00017574655,0.000042415875],"category_scores_gemma":[0.00013861326,0.0003198949,0.00019072303,0.00016470595,0.000049199283,0.000094366886,0.00018011608,0.0020363983,0.00001645872],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0004385052,0.00008199268,0.75701314,0.00045207082,0.00073672953,0.000023138418,0.00008486927,0.018488768,0.00000273766,0.20789786,0.0002119561,0.014568262],"study_design_scores_gemma":[0.0024386344,0.00054765167,0.076993965,0.000404262,0.000041411527,0.000072381416,0.00021443955,0.009727131,0.000025551795,0.9082511,0.0005394566,0.00074401894],"about_ca_topic_score_codex":0.58361876,"about_ca_topic_score_gemma":0.748331,"teacher_disagreement_score":0.70035326,"about_ca_system_score_codex":0.0048345784,"about_ca_system_score_gemma":0.005696828,"threshold_uncertainty_score":0.99994},"labels":[],"label_agreement":null},{"id":"W4386547091","doi":"10.1287/mnsc.2022.01571","title":"Government Loan Guarantees, Market Liquidity, and Lending Standards","year":2023,"lang":"en","type":"article","venue":"Management Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Market liquidity; Subsidy; Loan; Business; Maturity (psychological); Finance; Financial system; Liquidity crisis; Externality; Welfare; Monetary economics; Government (linguistics); Economics; Microeconomics; Market economy","score_opus":0.022736026900727187,"score_gpt":0.23130459887308738,"score_spread":0.2085685719723602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386547091","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32091156,0.00007464524,0.0012223538,0.00063326594,0.0006949513,0.00018603448,0.00007326867,0.0001080804,0.67609584],"genre_scores_gemma":[0.99233085,0.001518045,0.00045878586,0.00014867946,0.00004457659,0.000013451894,0.0000016440854,0.000014126168,0.005469831],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99853873,0.000006078275,0.0003043408,0.0005431902,0.00015690077,0.0004507643],"domain_scores_gemma":[0.999439,0.000023471377,0.00012224633,0.00031804346,0.000010100343,0.00008713397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036547973,0.00011571787,0.00018536384,0.0002623555,0.0003454525,0.00032374234,0.00038140875,0.000025338977,0.0003580331],"category_scores_gemma":[0.00006926982,0.00014100126,0.00003619141,0.00063286483,0.00022592329,0.0004334734,0.0005650212,0.00005930394,0.0002566069],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008879369,0.00011164239,0.15800664,0.00033842074,0.00009159928,0.00008298541,0.00090648775,0.00055579847,0.00008395564,0.6626014,0.09360885,0.08352339],"study_design_scores_gemma":[0.0009145728,0.00010852229,0.19318129,0.0000658053,0.000012615292,0.000004671323,0.0008176339,0.06062708,0.00012836399,0.043790232,0.6996104,0.0007388175],"about_ca_topic_score_codex":0.000024261497,"about_ca_topic_score_gemma":0.000010175954,"teacher_disagreement_score":0.6714193,"about_ca_system_score_codex":0.0003596953,"about_ca_system_score_gemma":0.00001141477,"threshold_uncertainty_score":0.57498646},"labels":[],"label_agreement":null},{"id":"W4386638642","doi":"10.54254/2754-1169/17/20231111","title":"Comparative Analysis of Real Estate Financial Model: Evidence from Vanke and Evergrande","year":2023,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"La Cité Collégiale","funders":"","keywords":"Real estate; Finance; Capital structure; Leverage (statistics); Real estate investment trust; Capitalization rate; Debt; Business; Corporate Real Estate; Financial analysis; Financial statement; Financial modeling; Real estate development; Corporate finance; Economics; Accounting; Computer science","score_opus":0.04862335805291835,"score_gpt":0.29757366715497763,"score_spread":0.2489503091020593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386638642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8829539,0.00033335207,0.00041575465,0.00021857714,0.00012402587,0.00010486712,0.00009391875,0.000017866427,0.11573776],"genre_scores_gemma":[0.9313805,0.06694697,0.0014835589,0.000063989086,0.000019950909,0.000010846605,0.000009674828,0.0000041759563,0.000080336285],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99848574,0.000015073062,0.00054843974,0.0005181824,0.000025738202,0.00040680796],"domain_scores_gemma":[0.9992577,0.00031279513,0.00017828424,0.00014633677,0.000007244933,0.00009764361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007000879,0.00013518397,0.00055302057,0.0005886821,0.00010773037,0.00007869315,0.0002129989,0.000045651395,0.000019594268],"category_scores_gemma":[0.000038162878,0.00015027991,0.00006312015,0.00058021396,0.0004833338,0.00076165015,0.00017021847,0.00006029466,0.0000123219625],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027259111,0.000018850722,0.30280808,0.000022015065,0.0000686976,0.0000013851387,0.00059412175,0.034430936,5.518474e-7,0.6535516,0.000012911751,0.0084636025],"study_design_scores_gemma":[0.00023393733,0.000039297884,0.15963206,0.000019348898,0.00004900244,1.03541886e-7,0.00036331324,0.54624057,0.0000061626242,0.29179752,0.0014085656,0.0002101259],"about_ca_topic_score_codex":0.00075211783,"about_ca_topic_score_gemma":0.0017534331,"teacher_disagreement_score":0.51180965,"about_ca_system_score_codex":0.00005365887,"about_ca_system_score_gemma":0.00001427069,"threshold_uncertainty_score":0.61282367},"labels":[],"label_agreement":null},{"id":"W4386641091","doi":"10.54254/2754-1169/9/20230347","title":"Securitization: The “curse” of the Financial System during the 2008 Crisis","year":2023,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Securitization; Financial system; Default; Financial crisis; Business; Economics; Finance; Macroeconomics","score_opus":0.0113302882315847,"score_gpt":0.21696060059392797,"score_spread":0.20563031236234328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386641091","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7557362,0.0011785034,0.00008268586,0.006648271,0.0013045912,0.00036106494,0.000035776997,0.00003202847,0.23462093],"genre_scores_gemma":[0.99538094,0.0039156233,0.00004323743,0.0002816277,0.000108631946,0.00002569528,8.982645e-7,0.0000066471275,0.00023667492],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998784,0.000024767582,0.0004639171,0.00028949676,0.000030110936,0.00040769143],"domain_scores_gemma":[0.9993993,0.00013279011,0.00017672066,0.00024711134,0.0000067857695,0.000037263813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009096629,0.00010490368,0.00019473498,0.00011368795,0.0004701947,0.00010711116,0.00055349263,0.000035593526,0.00001753442],"category_scores_gemma":[0.000041067073,0.000068113426,0.000065851964,0.00043041664,0.0005808426,0.00031951955,0.00025669357,0.00008459554,0.000032100907],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000034007685,0.0000065545364,0.040753342,0.000050129347,0.0000052859805,4.7807947e-7,0.0001530493,0.0016538498,5.344555e-8,0.9564513,0.00008396195,0.00083859044],"study_design_scores_gemma":[0.0006386588,0.000041791795,0.21689142,0.00007148505,0.00001798196,0.000008026764,0.0071669603,0.039634723,0.000032306376,0.61034846,0.12471106,0.0004370994],"about_ca_topic_score_codex":0.00007277947,"about_ca_topic_score_gemma":0.00020590198,"teacher_disagreement_score":0.34610283,"about_ca_system_score_codex":0.00007427629,"about_ca_system_score_gemma":0.000011658406,"threshold_uncertainty_score":0.3616405},"labels":[],"label_agreement":null},{"id":"W4386651161","doi":"10.1093/rfs/hhad072","title":"Adverse Selection and Climate Risk: A Response to","year":2023,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Securitization; Adverse selection; Loan; Selection (genetic algorithm); Actuarial science; Test (biology); Limit (mathematics); Business; Economics; Computer science; Finance; Mathematics; Artificial intelligence; Biology; Ecology","score_opus":0.03923900411325884,"score_gpt":0.2804377154919467,"score_spread":0.24119871137868784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386651161","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.929245,0.065791965,0.000026516582,0.0010981021,0.000345884,0.00034121473,0.000096995995,0.0000560564,0.002998281],"genre_scores_gemma":[0.19605777,0.8030477,0.0003377717,0.0003212416,0.00007027177,0.00004007216,0.0000020097716,0.0000132169625,0.00010993037],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990191,0.00003066787,0.0004990163,0.00022762611,0.000017619654,0.00020599568],"domain_scores_gemma":[0.999425,0.00011696154,0.00026302348,0.00011696413,0.0000385155,0.00003955332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021831691,0.00010028114,0.00054947066,0.00015441657,0.00013899039,0.0000057132042,0.000062344494,0.00003362716,0.000019187923],"category_scores_gemma":[0.0024136435,0.00010934253,0.00008469038,0.00046785318,0.000032337917,0.00006963595,0.000105314735,0.000058080688,0.00041820708],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011764745,0.0001397765,0.5063638,0.023407381,0.00032970068,0.000017049288,0.004837051,0.00013636684,0.00006525567,0.046345335,0.07659579,0.340586],"study_design_scores_gemma":[0.00036598073,0.00021249897,0.4370834,0.0023652455,0.000033029835,0.0000024734634,0.000076695156,0.00013168821,0.000018901963,0.003195757,0.55618453,0.00032977664],"about_ca_topic_score_codex":0.000031350988,"about_ca_topic_score_gemma":0.00006208998,"teacher_disagreement_score":0.73725575,"about_ca_system_score_codex":0.00005660182,"about_ca_system_score_gemma":0.000015142163,"threshold_uncertainty_score":0.53753453},"labels":[],"label_agreement":null},{"id":"W4386688913","doi":"10.54254/2754-1169/8/20230286","title":"A Study on Prepayment Risk of Residential Mortgage-backed Securitization in China—A Case of \"JIAMEI 2018-1 MBS Program\"","year":2023,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; McGill University","funders":"","keywords":"Prepayment of loan; Securitization; Mortgage underwriting; Business; Commercial mortgage-backed security; Financial system; Market liquidity; Credit risk; Interest rate; Finance; Mortgage insurance","score_opus":0.021029335827312878,"score_gpt":0.290485392777059,"score_spread":0.2694560569497461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386688913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92510486,0.0001210083,0.000022957047,0.000105314095,0.00023074141,0.0005883574,0.000040381703,0.000017542056,0.07376884],"genre_scores_gemma":[0.9960494,0.0034066676,0.00035166077,0.000018326467,0.000027826654,0.00005568569,0.000004688176,0.000009212143,0.00007655279],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99817324,0.000042545584,0.0008494003,0.00048296756,0.00003219422,0.0004196805],"domain_scores_gemma":[0.9992769,0.00012103509,0.0003262248,0.00020361239,0.0000061289,0.00006612653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014727901,0.00013839178,0.00038960914,0.0006384305,0.00008138726,0.000055970148,0.00020398144,0.000044189488,0.000022070853],"category_scores_gemma":[0.00006314934,0.00015413674,0.0000505356,0.00043635728,0.00029409173,0.00041968122,0.00014820766,0.00008620158,0.000015076043],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034688397,0.00032916712,0.54362756,0.000058471105,0.000020112526,0.000036703525,0.00066921406,0.0027510754,8.193996e-8,0.44466564,0.0000105692225,0.0077966773],"study_design_scores_gemma":[0.0020457997,0.0010537793,0.44749227,0.00007896066,0.000023612469,0.000008410113,0.006411994,0.033644073,0.000023450106,0.5075622,0.0012004856,0.0004549628],"about_ca_topic_score_codex":0.00066323247,"about_ca_topic_score_gemma":0.0014518861,"teacher_disagreement_score":0.09613532,"about_ca_system_score_codex":0.00008505501,"about_ca_system_score_gemma":0.000009906944,"threshold_uncertainty_score":0.62855136},"labels":[],"label_agreement":null},{"id":"W4386738738","doi":"10.1080/08965803.2023.2254581","title":"Holding Onto the Past: Previous Homes, Post-Move Housing Consumption, and the Great Recession","year":2023,"lang":"en","type":"article","venue":"Journal of Real Estate Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Home equity; Renting; Demographic economics; Equity (law); Recession; Consumption (sociology); Quarter (Canadian coin); Relocation; Economics; Housing tenure; Falling (accident); Labour economics; Bust; Value (mathematics); Business; Boom; Geography; Political science","score_opus":0.09103696101234791,"score_gpt":0.3319377997790978,"score_spread":0.2409008387667499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386738738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97552603,0.0009507829,0.000032908574,0.006432507,0.00032986127,0.00022749475,0.000013091511,0.00001533657,0.016471997],"genre_scores_gemma":[0.8124088,0.18665795,0.0000787959,0.00004888118,0.00029445157,0.000005696341,0.000003142588,0.000028933573,0.00047333684],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9982838,0.0002264866,0.00070751784,0.00020041272,0.00013900125,0.0004427601],"domain_scores_gemma":[0.99785,0.0010957671,0.00047254536,0.00026450277,0.00019518864,0.000121987745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010762589,0.00011565455,0.00038096533,0.00044620168,0.0005735042,0.00040445008,0.00037198793,0.00007717574,0.000049567436],"category_scores_gemma":[0.00055718044,0.00007227863,0.000118008735,0.00042280517,0.0003763798,0.00033808238,0.0001978844,0.00062899065,0.00011689126],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019246413,0.00008371087,0.37366274,0.00035888897,0.00030812295,0.00017974638,0.010245425,0.00066822796,0.00011475133,0.014161479,0.016183069,0.5821092],"study_design_scores_gemma":[0.010956532,0.000974338,0.69627833,0.0009296548,0.00008497873,0.0007196876,0.007772651,0.026060494,0.00009803463,0.08638498,0.16872296,0.0010173821],"about_ca_topic_score_codex":0.0009603982,"about_ca_topic_score_gemma":0.00018205596,"teacher_disagreement_score":0.5810918,"about_ca_system_score_codex":0.00018083488,"about_ca_system_score_gemma":0.00007916843,"threshold_uncertainty_score":0.44109884},"labels":[],"label_agreement":null},{"id":"W4386864606","doi":"10.1111/gean.12377","title":"What's a School Worth to a Neighborhood? A Spatial Hedonic Analysis of Property Prices in the Context of Accommodation Reviews in Ontario","year":2023,"lang":"en","type":"article","venue":"Geographical Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto; McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Capitalization; Accommodation; Context (archaeology); Closure (psychology); Property value; Value (mathematics); Capital city; Public economics; Economics; Geography; Sociology; Regional science; Political science; Economic geography; Psychology; Mathematics; Law; Statistics; Finance; Real estate","score_opus":0.036592965485136256,"score_gpt":0.23947694202161696,"score_spread":0.20288397653648071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386864606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961617,0.00047732095,0.0005953307,0.0009903521,0.000053142037,0.00039587636,0.000021785527,0.000009863653,0.0012946152],"genre_scores_gemma":[0.9953188,0.0040770327,0.000109070475,0.00024236695,0.000012911755,0.000083570965,0.00010175893,0.0000074642116,0.000047034402],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99763405,0.000078964295,0.0014628551,0.00045969855,0.00007308467,0.00029134343],"domain_scores_gemma":[0.9986169,0.0001315056,0.0005550438,0.000585765,0.000037998023,0.00007284044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026816998,0.00015990139,0.0013181849,0.0045540314,0.000039276416,0.00010773033,0.00044128145,0.0001053837,0.00050178607],"category_scores_gemma":[0.00022739917,0.00011859209,0.0008028628,0.014914496,0.000054832035,0.0003214291,0.000092787246,0.00022637921,0.000048583366],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004622496,0.00013751464,0.9843638,0.000022868682,0.00090325467,0.0000023207929,0.0015800099,0.0029440776,0.0000012223348,0.0010772912,0.00002412436,0.008897288],"study_design_scores_gemma":[0.00022961124,0.000042626492,0.95438606,0.000027904323,0.00061616756,1.17670034e-7,0.00037107556,0.041426264,8.0949565e-7,0.0007773497,0.001968219,0.00015382565],"about_ca_topic_score_codex":0.19612506,"about_ca_topic_score_gemma":0.87048876,"teacher_disagreement_score":0.6743637,"about_ca_system_score_codex":0.00009384023,"about_ca_system_score_gemma":0.000038562604,"threshold_uncertainty_score":0.809228},"labels":[],"label_agreement":null},{"id":"W4386882772","doi":"10.32920/24171429","title":"Mumbai's business landscape: A spatial analytical approach to urbanisation","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Urbanization; Megacity; Economic geography; Geography; Urban sprawl; Metropolitan area; Tertiary sector of the economy; Urban climate; Regional science; Urban planning; Economy; Economic growth; Economics; Civil engineering; Engineering","score_opus":0.07095337798709848,"score_gpt":0.23452654671984705,"score_spread":0.16357316873274858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386882772","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07127306,0.00005674619,0.22713855,0.0016876542,0.002934527,0.0007054446,0.00027133944,0.00042917262,0.69550353],"genre_scores_gemma":[0.9808036,0.00017566238,0.006092551,0.0003979358,0.0012460677,0.00014437464,0.0006425251,0.00014993978,0.010347354],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974767,0.000015407524,0.0009216342,0.0010829187,0.000049087597,0.00045424188],"domain_scores_gemma":[0.99862313,0.000051995943,0.00031176908,0.0007571387,0.000062686835,0.00019327961],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008164322,0.0003468218,0.0008380425,0.00062456744,0.000088671106,0.00038996007,0.00048293395,0.0004776945,0.0006165583],"category_scores_gemma":[0.00024022977,0.00042335317,0.00020894199,0.00037675674,0.000033331722,0.000098354234,0.00073873537,0.0003874842,0.0041467226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023901188,0.0009656938,0.25640133,0.0012412,0.0007772773,0.000020081923,0.0024623217,0.09821981,0.0000025257757,0.46029288,0.166593,0.012784878],"study_design_scores_gemma":[0.0007976743,0.000036531776,0.17717032,0.000062637344,0.00004973244,0.000004973383,0.00013019804,0.6987849,0.0000033704728,0.064646676,0.056580003,0.0017330043],"about_ca_topic_score_codex":0.00253152,"about_ca_topic_score_gemma":0.00022214549,"teacher_disagreement_score":0.9095305,"about_ca_system_score_codex":0.00021030178,"about_ca_system_score_gemma":0.000082355546,"threshold_uncertainty_score":0.99982184},"labels":[],"label_agreement":null},{"id":"W4386884487","doi":"10.32920/24171429.v1","title":"Mumbai's business landscape: A spatial analytical approach to urbanisation","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Urbanization; Megacity; Economic geography; Geography; Urban sprawl; Metropolitan area; Tertiary sector of the economy; Regional science; Urban planning; Economy; Economic growth; Environmental planning; Economics; Civil engineering; Engineering","score_opus":0.07095337798709848,"score_gpt":0.23452654671984705,"score_spread":0.16357316873274858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386884487","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07127306,0.00005674619,0.22713855,0.0016876542,0.002934527,0.0007054446,0.00027133944,0.00042917262,0.69550353],"genre_scores_gemma":[0.9808036,0.00017566238,0.006092551,0.0003979358,0.0012460677,0.00014437464,0.0006425251,0.00014993978,0.010347354],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974767,0.000015407524,0.0009216342,0.0010829187,0.000049087597,0.00045424188],"domain_scores_gemma":[0.99862313,0.000051995943,0.00031176908,0.0007571387,0.000062686835,0.00019327961],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008164322,0.0003468218,0.0008380425,0.00062456744,0.000088671106,0.00038996007,0.00048293395,0.0004776945,0.0006165583],"category_scores_gemma":[0.00024022977,0.00042335317,0.00020894199,0.00037675674,0.000033331722,0.000098354234,0.00073873537,0.0003874842,0.0041467226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023901188,0.0009656938,0.25640133,0.0012412,0.0007772773,0.000020081923,0.0024623217,0.09821981,0.0000025257757,0.46029288,0.166593,0.012784878],"study_design_scores_gemma":[0.0007976743,0.000036531776,0.17717032,0.000062637344,0.00004973244,0.000004973383,0.00013019804,0.6987849,0.0000033704728,0.064646676,0.056580003,0.0017330043],"about_ca_topic_score_codex":0.00253152,"about_ca_topic_score_gemma":0.00022214549,"teacher_disagreement_score":0.9095305,"about_ca_system_score_codex":0.00021030178,"about_ca_system_score_gemma":0.000082355546,"threshold_uncertainty_score":0.99982184},"labels":[],"label_agreement":null},{"id":"W4386996338","doi":"10.3390/buildings13102427","title":"Reconstructing Social Segregation in Danwei: An Examination of High-Quality Education Resources’ Impact on Housing Prices in Nanjing, China","year":2023,"lang":"en","type":"article","venue":"Buildings","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Natural Science Foundation of China","keywords":"Marketization; China; Urbanization; Social stratification; Economic growth; Investment (military); Quality (philosophy); Government (linguistics); Distribution (mathematics); Business; Economics; Geography; Political science","score_opus":0.03397694004926522,"score_gpt":0.2887425359828597,"score_spread":0.2547655959335945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386996338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99025905,0.000016325303,0.000043795066,0.000114838236,0.0002899097,0.00015967377,0.000015921947,0.000048759615,0.00905172],"genre_scores_gemma":[0.99890625,0.000034697056,0.00081790646,0.000019690027,0.00011860155,0.000009950317,0.000039879065,0.00002601947,0.00002701243],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985328,0.000049531554,0.00075514294,0.00036933113,0.00004173987,0.00025149467],"domain_scores_gemma":[0.9990136,0.000084096166,0.0006885092,0.00015869539,0.000020401692,0.000034720586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024948204,0.0001357919,0.0003554203,0.0009551605,0.000098766315,0.000080971986,0.00014420299,0.00013442263,0.000033903718],"category_scores_gemma":[0.00023848184,0.00017096303,0.00006191204,0.0007444809,0.000038100865,0.000530671,0.00003468834,0.00016026701,0.000017486867],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069191745,0.00018653739,0.70744824,0.00009947154,0.000012277658,8.4845357e-7,0.011585689,0.002019683,0.00040608135,0.05277028,0.000039107977,0.22536261],"study_design_scores_gemma":[0.00037872957,0.000044109885,0.9737495,0.000066284025,0.0000016085032,5.970471e-7,0.00080380565,0.0038297516,0.00020004786,0.020639952,0.0000927474,0.00019285142],"about_ca_topic_score_codex":0.0033869052,"about_ca_topic_score_gemma":0.00023400235,"teacher_disagreement_score":0.2663013,"about_ca_system_score_codex":0.00044002128,"about_ca_system_score_gemma":0.00004327927,"threshold_uncertainty_score":0.69716704},"labels":[],"label_agreement":null},{"id":"W4387054768","doi":"10.3390/jrfm16100427","title":"On the Dynamic Relationship between Household Debt and Income Inequality in South Africa","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Zululand","keywords":"Economics; Economic inequality; Household debt; Gini coefficient; Income inequality metrics; Inequality; Debt; Household income; Income distribution; Per capita income; Gross domestic product; Per capita; Demographic economics; Labour economics; Macroeconomics; Population; Mathematics; Geography; Demography","score_opus":0.04806675128694937,"score_gpt":0.22428835064497002,"score_spread":0.17622159935802065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387054768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950788,0.00021365193,0.0017526296,0.0002592288,0.0001637295,0.00009827288,0.000034257235,0.000009078976,0.0023903474],"genre_scores_gemma":[0.9985931,0.0011134344,0.00011760793,0.000039846203,0.00005732619,0.000003157926,0.0000011692313,0.000010500179,0.000063862855],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990631,0.00003391667,0.0005576387,0.00014371895,0.00003394065,0.00016771756],"domain_scores_gemma":[0.99908996,0.00033688365,0.0003895452,0.00013212641,0.000006942796,0.00004457246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002069344,0.000092254595,0.00026749054,0.00042799977,0.00013212825,0.000062438026,0.0001164995,0.000058278136,0.0000043756772],"category_scores_gemma":[0.00033455988,0.00007967111,0.000053762804,0.00031121713,0.000038591163,0.00010213884,0.00008055746,0.00025098032,0.000021756863],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003299653,0.0000150486185,0.9060845,0.000023079116,0.000009291386,0.0000099378685,0.0015615048,0.00018237965,2.7964205e-8,0.08566848,0.000085495245,0.0063272705],"study_design_scores_gemma":[0.00035819484,0.000040252806,0.7965822,0.000025747053,0.0000085711035,4.5119629e-7,0.00015076129,0.00041023837,5.767354e-8,0.20020202,0.0021436187,0.0000778785],"about_ca_topic_score_codex":0.000018816834,"about_ca_topic_score_gemma":0.000024406394,"teacher_disagreement_score":0.114533536,"about_ca_system_score_codex":0.000058038444,"about_ca_system_score_gemma":0.0000065745053,"threshold_uncertainty_score":0.32488936},"labels":[],"label_agreement":null},{"id":"W4387307421","doi":"10.1016/j.regsciurbeco.2023.103948","title":"Measuring the value of rent stabilization and understanding its implications for racial inequality: Evidence from New York City","year":2023,"lang":"en","type":"article","venue":"Regional Science and Urban Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Gentrification; Economics; Inequality; Distribution (mathematics); Value (mathematics); Scope (computer science); Public economics; Demographic economics; Labour economics; Economic growth","score_opus":0.3998562762351768,"score_gpt":0.2948660915559802,"score_spread":0.10499018467919657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387307421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880999,0.00073652517,0.005293829,0.0047462108,0.00020147862,0.00026698477,0.00008129614,0.000020750183,0.0005530592],"genre_scores_gemma":[0.9971367,0.0022012442,0.00029692784,0.00013180601,0.00015078763,0.000012521713,0.000008960738,0.0000098290675,0.00005121186],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998904,0.000009465514,0.00042366376,0.0004078159,0.00002910481,0.00022594383],"domain_scores_gemma":[0.9989257,0.00041611932,0.00030405348,0.00021137329,0.000039528943,0.00010321066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017809881,0.00009630816,0.00021810697,0.0001560392,0.00042193392,0.00015603668,0.00024495632,0.00005068582,0.000006970097],"category_scores_gemma":[0.0003961568,0.00009805343,0.000045714016,0.00031056112,0.00028272162,0.00049547374,0.00010062734,0.00005238897,0.000004933923],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046397403,0.000014595016,0.22714666,0.000028867938,0.000023715316,3.529765e-8,0.0028787877,0.0010989273,0.0001612904,0.7650161,0.0012292563,0.0023554126],"study_design_scores_gemma":[0.0005713757,0.00007527697,0.2923755,0.00007751099,0.000020982752,0.0000020048954,0.00086378265,0.09923069,0.0001544405,0.59772056,0.008509741,0.0003981055],"about_ca_topic_score_codex":0.00028736398,"about_ca_topic_score_gemma":0.0001548344,"teacher_disagreement_score":0.16729549,"about_ca_system_score_codex":0.0002662715,"about_ca_system_score_gemma":0.00018029746,"threshold_uncertainty_score":0.39985028},"labels":[],"label_agreement":null},{"id":"W4387417871","doi":"10.1108/jpif-05-2023-0048","title":"The influence mechanism of real estate enterprises' status on debt default risk","year":2023,"lang":"en","type":"article","venue":"Journal of Property Investment and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Business; Debt; Default; Finance; Real estate investment trust; Sample (material); Quarter (Canadian coin)","score_opus":0.020977122178371152,"score_gpt":0.21310376995224253,"score_spread":0.1921266477738714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387417871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97775114,0.00026820658,0.000051194635,0.00037303474,0.00038831198,0.00013425584,0.000037428304,0.000010798848,0.020985655],"genre_scores_gemma":[0.8310096,0.16754198,0.00039184312,0.00016103916,0.000055722805,0.0000067834276,0.0000013744758,0.000018876546,0.000812751],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986,0.000030976964,0.00082460645,0.00017911498,0.000058798963,0.00030652297],"domain_scores_gemma":[0.99842733,0.00011723163,0.0011074583,0.00021855537,0.000060941748,0.00006850134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011352015,0.00014055612,0.00035736483,0.00015726774,0.00019277305,0.00007095945,0.00022940236,0.00006196589,0.000005027233],"category_scores_gemma":[0.0002170318,0.00008848063,0.000103376355,0.00018030226,0.00012134354,0.00023780177,0.00006579259,0.00021489186,0.000049437618],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002054105,0.00060876645,0.22174624,0.00023723763,0.0006444642,0.00013555476,0.012126362,0.011029945,0.0006545458,0.478292,0.013657758,0.25881305],"study_design_scores_gemma":[0.003743344,0.0028558548,0.19692741,0.00037908292,0.00006539893,0.00004423851,0.0007691028,0.025912728,0.0011682179,0.2843226,0.4829196,0.0008924056],"about_ca_topic_score_codex":0.00029614582,"about_ca_topic_score_gemma":0.00003816889,"teacher_disagreement_score":0.46926185,"about_ca_system_score_codex":0.000077039884,"about_ca_system_score_gemma":0.00005480312,"threshold_uncertainty_score":0.36081353},"labels":[],"label_agreement":null},{"id":"W4387460504","doi":"10.3390/jrfm16100439","title":"Predicting the Non-Return of Chonsei Lease Deposits in the Republic of Korea","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Lease; Renting; Default; Actuarial science; Bond; Business; Landlord; Volatility (finance); Credit risk; Economics; Debt; Finance; Risk–return spectrum; Financial economics","score_opus":0.015308749589468255,"score_gpt":0.2013788577199706,"score_spread":0.18607010813050234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387460504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908248,0.00046891242,0.0007612546,0.00035003453,0.00034149626,0.00013432185,0.000015433729,0.0000027436938,0.0071009984],"genre_scores_gemma":[0.9935087,0.0061264057,0.00012853395,0.00005744585,0.00011571784,0.000003292523,9.253602e-7,0.000007038045,0.000051964023],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988666,0.000027984652,0.0007918827,0.000108063025,0.000049997696,0.00015545647],"domain_scores_gemma":[0.9987797,0.00012221638,0.0008648093,0.00018178397,0.000026241789,0.000025251255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024194415,0.00008022395,0.00029634614,0.00032205033,0.00008603802,0.00003583649,0.0002715974,0.0000433379,0.000005963395],"category_scores_gemma":[0.00021358368,0.000057898615,0.00011246412,0.00041824338,0.000057243804,0.0001243143,0.000080570666,0.000184904,0.0000039669258],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015730706,0.00013270597,0.8562777,0.00015611519,0.000058394628,0.000038627335,0.0060244915,0.0006726399,0.000003938802,0.015755003,0.002288811,0.118434265],"study_design_scores_gemma":[0.0006915533,0.00010938168,0.9719097,0.00006942198,0.000030089986,0.000008076526,0.0011166441,0.0018406967,0.000013404737,0.010954733,0.013173296,0.00008299994],"about_ca_topic_score_codex":0.00017492942,"about_ca_topic_score_gemma":0.000108802735,"teacher_disagreement_score":0.118351266,"about_ca_system_score_codex":0.000022420742,"about_ca_system_score_gemma":0.00001558163,"threshold_uncertainty_score":0.2361037},"labels":[],"label_agreement":null},{"id":"W4387574773","doi":"10.1111/1540-6229.12461","title":"Urban flight: A short‐term phenomenon or long‐term trend?","year":2023,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Phenomenon; Term (time); Pandemic; Coronavirus disease 2019 (COVID-19); Economics; Demographic economics; Medicine","score_opus":0.047323183283446764,"score_gpt":0.24125626773685302,"score_spread":0.19393308445340626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387574773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73925483,0.000033358694,0.00006265057,0.00021584777,0.0011969338,0.00026341894,0.0003891382,0.0003239716,0.25825986],"genre_scores_gemma":[0.94470555,0.043964025,0.000230815,0.0001575111,0.00084389735,0.000082669125,0.00060689426,0.00023898523,0.009169637],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965406,0.000021427055,0.0013541796,0.001004973,0.000028026387,0.0010507915],"domain_scores_gemma":[0.99821806,0.00013069031,0.0004261399,0.00084145967,0.000016046755,0.00036760804],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00077020854,0.0004737127,0.0009441504,0.00066603237,0.00025793095,0.00035442392,0.00058483507,0.00024835253,0.000625229],"category_scores_gemma":[0.000033800305,0.0005521083,0.00028705405,0.00040165335,0.00012930292,0.00063328556,0.0002272982,0.00025644948,0.0041941833],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007169746,0.00041711744,0.624369,0.0003270777,0.0006211613,0.0002680118,0.007560672,0.0017851846,0.00003473349,0.044873763,0.01223803,0.30678827],"study_design_scores_gemma":[0.004986383,0.0009008174,0.5318535,0.00010863476,0.000112184855,0.00011291139,0.0007037151,0.049050935,0.00016730715,0.017907,0.38911876,0.0049778596],"about_ca_topic_score_codex":0.00021644813,"about_ca_topic_score_gemma":0.0013382658,"teacher_disagreement_score":0.37688074,"about_ca_system_score_codex":0.0005750424,"about_ca_system_score_gemma":0.000093273615,"threshold_uncertainty_score":0.99969304},"labels":[],"label_agreement":null},{"id":"W4387667596","doi":"10.3390/jrfm16100446","title":"Understanding the Effects of Market Volatility on Profitability Perceptions of Housing Market Developers","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Canada Mortgage and Housing Corporation; University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; Mitacs","keywords":"Profitability index; Volatility (finance); Business; Finance; Industrial organization; Economics; Marketing","score_opus":0.02959433155144317,"score_gpt":0.21686065802989904,"score_spread":0.18726632647845587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387667596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9679832,0.00011670651,0.0149704795,0.00010380977,0.00064247474,0.00024110143,0.000028392216,0.000008126291,0.015905727],"genre_scores_gemma":[0.9959253,0.0033951362,0.0004904765,0.000022935072,0.0000554092,0.0000030722267,6.3548026e-7,0.000010979263,0.00009603277],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988013,0.00005655762,0.000740779,0.00016171347,0.00006026855,0.00017940758],"domain_scores_gemma":[0.9987023,0.0003335976,0.00069821166,0.00018986811,0.00003372923,0.00004230184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025085474,0.00011362746,0.00039868234,0.00031940523,0.00016406283,0.000027026761,0.00015903267,0.000058598303,0.000058131838],"category_scores_gemma":[0.0004639446,0.00009746965,0.0001489093,0.00033713807,0.00012040419,0.00011982262,0.00008645445,0.00016923733,0.0000035794453],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005095877,0.00017473822,0.91885287,0.00074243016,0.00011994724,0.000011675738,0.0024929044,0.00020148332,0.0000064037204,0.02188876,0.005226165,0.049773056],"study_design_scores_gemma":[0.00059176056,0.00014812178,0.9621584,0.00012624485,0.000040486233,0.0000011336822,0.0008460183,0.0016039676,0.000007711901,0.031873334,0.0024877104,0.00011514074],"about_ca_topic_score_codex":0.000025736408,"about_ca_topic_score_gemma":0.000022990187,"teacher_disagreement_score":0.04965792,"about_ca_system_score_codex":0.00014872605,"about_ca_system_score_gemma":0.000021055743,"threshold_uncertainty_score":0.3974697},"labels":[],"label_agreement":null},{"id":"W4387667617","doi":"10.3368/le.100.2.071522-0056r","title":"The Value of a Sea View: Hedonic Estimates Using 3D Simulation and Natural Language Processing","year":2023,"lang":"en","type":"article","venue":"Land Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"European Association of Environmental and Resource Economists; Irish Research Council","keywords":"Value (mathematics); Measure (data warehouse); Computer science; Sample (material); Natural (archaeology); Property (philosophy); Hedonic pricing; Econometrics; Geography; Mathematics; Data mining; Machine learning; Archaeology","score_opus":0.02365160642724704,"score_gpt":0.2524417953675909,"score_spread":0.2287901889403439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387667617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945782,0.0027018604,0.00020405359,0.00010649342,0.00033641607,0.0001225758,0.000035796944,0.000048918482,0.0018657099],"genre_scores_gemma":[0.9978584,0.0010363011,0.00081223267,0.00004656025,0.000108236054,0.0000041590074,0.000018258768,0.00002993864,0.00008593463],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998958,0.000008405635,0.0004897715,0.00025210794,0.000011486694,0.0002802624],"domain_scores_gemma":[0.9992311,0.0001910618,0.00031890708,0.00020132239,0.000013308432,0.000044272463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059337,0.00013197487,0.00031334456,0.00011662893,0.00024269482,0.00015869262,0.00013629028,0.00007259012,0.00001293991],"category_scores_gemma":[0.00007536021,0.00012585788,0.000058785983,0.000110528475,0.00007617264,0.0002547785,0.00008416326,0.00009469087,0.000057948862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009926235,0.000038421178,0.4722981,0.00027551988,0.00012839132,0.000004227671,0.002272401,0.36562344,0.000026653299,0.0071085254,0.000061288694,0.15206377],"study_design_scores_gemma":[0.0002858603,0.000015441301,0.012318819,0.00001591948,0.000007956923,0.000004041552,0.000103139595,0.9804164,0.000015135313,0.0041656895,0.0024914553,0.00016011627],"about_ca_topic_score_codex":0.00022981738,"about_ca_topic_score_gemma":0.0001432465,"teacher_disagreement_score":0.614793,"about_ca_system_score_codex":0.00007007999,"about_ca_system_score_gemma":0.00002564059,"threshold_uncertainty_score":0.5132336},"labels":[],"label_agreement":null},{"id":"W4387842703","doi":"10.1016/j.retrec.2023.101370","title":"The effect of bus rapid transit on local home prices","year":2023,"lang":"en","type":"article","venue":"Research in Transportation Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University","funders":"","keywords":"Bus rapid transit; Real estate; Amenity; Leverage (statistics); Business; Transport engineering; Local government; Residential real estate; Agricultural economics; Finance; Public transport; Economics; Computer science; Geography; Engineering","score_opus":0.0581733514719594,"score_gpt":0.2931962966442408,"score_spread":0.2350229451722814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387842703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9825919,0.00020467826,0.00015814051,0.0009332986,0.0003683044,0.0004201561,0.00016119362,0.000039551345,0.015122768],"genre_scores_gemma":[0.99368006,0.0059189857,0.000023498586,0.000016095024,0.000058351856,0.00007558729,0.000082102524,0.00003764523,0.00010767017],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9979968,0.00006870616,0.0008971583,0.00041157022,0.00005349183,0.0005722396],"domain_scores_gemma":[0.99813044,0.0011906577,0.00019296554,0.0003676005,0.000026259786,0.00009209629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051273094,0.0001533233,0.0004291707,0.0007020425,0.00019200337,0.00007424796,0.00039043993,0.00013527065,0.000075437514],"category_scores_gemma":[0.000051940082,0.00015008546,0.00014660992,0.00064580725,0.00026587566,0.00021408928,0.000008534016,0.00034431828,0.0005517219],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002421138,0.00018180383,0.23661864,0.0006622595,0.00023451936,0.000037691396,0.0030681763,0.13941084,0.000033811582,0.38039368,0.0011977215,0.2357397],"study_design_scores_gemma":[0.007835203,0.0027799043,0.6426914,0.00019398646,0.000018076991,0.0000026026153,0.001467454,0.10016866,0.0031982819,0.11831297,0.1220521,0.0012793601],"about_ca_topic_score_codex":0.00023351327,"about_ca_topic_score_gemma":0.0007031069,"teacher_disagreement_score":0.40607277,"about_ca_system_score_codex":0.00021731902,"about_ca_system_score_gemma":0.000046836914,"threshold_uncertainty_score":0.70914525},"labels":[],"label_agreement":null},{"id":"W4387957965","doi":"10.3390/su152115318","title":"The Impact of Economic Policy Uncertainty on Investment in Real Estate Corporations Based on Sustainable Development: The Mediating Role of House Prices","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Real estate investment trust; Investment (military); Order (exchange); Real estate development; Capitalization rate; Corporate Real Estate; Cost approach; Business; Finance; China; Quarter (Canadian coin); Sustainable development; Panel data; Economics; Econometrics","score_opus":0.01828390514821789,"score_gpt":0.26860624599702493,"score_spread":0.25032234084880706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387957965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97431463,0.00001056219,0.000006809024,0.0009061501,0.00004900203,0.0006634649,0.00004905365,0.000042907588,0.023957418],"genre_scores_gemma":[0.99948657,0.00015876071,0.000033778564,0.000028152028,0.00003452361,0.00009616743,0.000021959713,0.000027266371,0.0001128146],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9980789,0.00008410474,0.00092275644,0.00033305897,0.000047535552,0.00053363875],"domain_scores_gemma":[0.99768615,0.0008484874,0.00067884516,0.0006087641,0.00011008583,0.00006766999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032796364,0.00018201715,0.00036890598,0.0004393478,0.0002980799,0.00006516613,0.000356989,0.000075692595,0.000012997823],"category_scores_gemma":[0.0014373576,0.00013800291,0.00014361495,0.0006236383,0.00022532676,0.00013477165,0.00010363503,0.00016312042,0.000020646472],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002466881,0.00019130655,0.3019605,0.000116049625,0.0000468519,0.0000025321222,0.006152952,0.47808397,0.0000025276843,0.20709349,0.00012349228,0.005979659],"study_design_scores_gemma":[0.0008979069,0.00034794517,0.5765871,0.000014510319,0.0000045856764,1.7288774e-7,0.010679213,0.133521,0.00014472877,0.2743791,0.0031082286,0.0003155343],"about_ca_topic_score_codex":0.017328044,"about_ca_topic_score_gemma":0.0011665679,"teacher_disagreement_score":0.34456295,"about_ca_system_score_codex":0.0037042706,"about_ca_system_score_gemma":0.0017475137,"threshold_uncertainty_score":0.9892157},"labels":[],"label_agreement":null},{"id":"W4388022955","doi":"10.1057/s41264-023-00255-3","title":"Examining personal financial advisors’ knowledge, client recommendations, and personal investments in private real estate and real estate investment trusts (REITs)","year":2023,"lang":"en","type":"article","venue":"Journal of Financial Services Marketing","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Real estate investment trust; Business; Finance; Real estate; Estate; Investment (military); Marketing; Real estate development","score_opus":0.031028653559076493,"score_gpt":0.24866233664465678,"score_spread":0.2176336830855803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388022955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9736897,0.00026443714,0.0000055087303,0.00033772824,0.0007547289,0.00019802143,0.000054638545,0.000028492368,0.024666745],"genre_scores_gemma":[0.8932568,0.102932684,0.0023586936,0.00047150403,0.0006246917,0.000022577831,0.000047301397,0.00007807089,0.00020768028],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997056,0.00017313601,0.0015329124,0.0005149287,0.00010005294,0.00062294677],"domain_scores_gemma":[0.99790066,0.00034391342,0.0012993795,0.00012797449,0.00006743807,0.0002606158],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0049842694,0.00033115596,0.000739758,0.00079788215,0.00030708674,0.00019056603,0.00023777947,0.00019258597,0.00004307007],"category_scores_gemma":[0.00039297636,0.00039030483,0.000104814935,0.0005479967,0.00009045594,0.0007138211,0.00026972414,0.0004622365,0.000025569467],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000580019,0.00015530187,0.70067036,0.0004736392,0.00004688934,0.000088133354,0.01883653,0.000038162638,0.00004520236,0.0008828919,0.00058284967,0.27760002],"study_design_scores_gemma":[0.0018701727,0.0001936518,0.96140784,0.00054201647,0.000018704235,0.000034859106,0.0012489202,0.011367332,0.0000050683307,0.0013586782,0.021529343,0.00042343937],"about_ca_topic_score_codex":0.0005609246,"about_ca_topic_score_gemma":0.00087633193,"teacher_disagreement_score":0.2771766,"about_ca_system_score_codex":0.0003079648,"about_ca_system_score_gemma":0.00016373816,"threshold_uncertainty_score":0.99985486},"labels":[],"label_agreement":null},{"id":"W4388104454","doi":"10.5267/j.ijdns.2023.9.008","title":"Leveraging consumer behavior and macroeconomic factors to increase real estate investment potential","year":2023,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; Economics; Real estate investment trust; Vector autoregression; Investment (military); Interest rate; Incentive; Consumer price index (South Africa); Consumer confidence index; Financial economics; Finance; Monetary policy; Macroeconomics; Monetary economics; Microeconomics","score_opus":0.05388113864122994,"score_gpt":0.2887963137589809,"score_spread":0.23491517511775095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388104454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957381,0.000047834877,0.00023148958,0.00038273018,0.0012305378,0.000055398403,0.0001315598,0.000008578052,0.0021737718],"genre_scores_gemma":[0.9939718,0.004214989,0.0012964257,0.00021132111,0.00022778935,0.0000010904088,0.000024277668,0.000008012025,0.000044294764],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897003,0.000008236896,0.0004523737,0.0002835502,0.00006550307,0.0002203173],"domain_scores_gemma":[0.999236,0.00005174822,0.00029028853,0.00017349682,0.000049049133,0.00019943787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014257706,0.000086901855,0.00018819573,0.00033520133,0.00013243122,0.00031915223,0.0006894119,0.00002256804,0.000034575896],"category_scores_gemma":[0.00007260771,0.00009077911,0.000023529206,0.00015838137,0.00016903461,0.0009286728,0.0005811964,0.000087811335,0.000028691233],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011579561,0.000054633616,0.9021541,0.000006772407,0.000108348104,0.00011228107,0.0012303658,0.0017638818,0.00028728668,0.003289066,0.005946589,0.08493087],"study_design_scores_gemma":[0.0010508389,0.0001067547,0.9116318,0.00005255001,0.000028098164,0.0001978407,0.00043505285,0.034997914,0.000039627725,0.0053049773,0.045744997,0.00040951913],"about_ca_topic_score_codex":0.0002665261,"about_ca_topic_score_gemma":0.000026483978,"teacher_disagreement_score":0.084521346,"about_ca_system_score_codex":0.00007630708,"about_ca_system_score_gemma":0.000064338295,"threshold_uncertainty_score":0.37018645},"labels":[],"label_agreement":null},{"id":"W4388108664","doi":"10.1016/j.jue.2023.103608","title":"Homeowner politics and housing supply","year":2023,"lang":"en","type":"article","venue":"Journal of Urban Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Amenity; Opposition (politics); Politics; Business; Subdivision; Finance; Public housing; Neighbourhood (mathematics); Labour economics; Economic growth; Economics; Political science; Geography; Law","score_opus":0.02593243756321166,"score_gpt":0.20288927644185775,"score_spread":0.1769568388786461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388108664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9805232,0.00041847787,0.00014617165,0.0012393723,0.0013030975,0.00006154178,0.000070326954,0.000025269259,0.016212514],"genre_scores_gemma":[0.9934214,0.0035684125,0.0010301964,0.00032386353,0.00066099,0.0000010570725,0.000007320514,0.000055878394,0.0009309038],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99797255,0.000014995015,0.0013573804,0.00023843773,0.00002098424,0.00039563808],"domain_scores_gemma":[0.99831766,0.00012638728,0.0010550343,0.00025682236,0.00004284955,0.00020124376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014093716,0.0001775216,0.0006733039,0.00063117244,0.00012057749,0.00021520887,0.00025535232,0.000126083,0.00016209745],"category_scores_gemma":[0.00014787652,0.0002007991,0.00020252874,0.00016006181,0.00009254644,0.0005049106,0.0000914885,0.00022783606,0.00035547052],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057623954,0.00008060858,0.77302074,0.00006311042,0.00025114763,0.000044837718,0.0014076681,0.0014205212,0.000018845452,0.17498598,0.040061727,0.0085871685],"study_design_scores_gemma":[0.0023721124,0.00028622194,0.111944124,0.000054045686,0.00004077155,0.00022080532,0.00066331745,0.015936827,0.00010047707,0.17711242,0.6903605,0.000908425],"about_ca_topic_score_codex":0.000029617628,"about_ca_topic_score_gemma":0.000013673907,"teacher_disagreement_score":0.66107666,"about_ca_system_score_codex":0.00019115391,"about_ca_system_score_gemma":0.00005872062,"threshold_uncertainty_score":0.81883496},"labels":[],"label_agreement":null},{"id":"W4388230279","doi":"10.15396/eres2023_237","title":"The Effects of Economic Measures on House Prices in Turkey During the Covid-19","year":2023,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Quarter (Canadian coin); Economics; Descriptive statistics; Consumer price index (South Africa); Unemployment; Economic indicator; Price index; Index (typography); Population; Investment (military); Vector autoregression; Cost of living; Turkish; Demographic economics; Economic growth; Monetary economics; Geography; Monetary policy; Macroeconomics; Finance; Statistics","score_opus":0.028828948064082368,"score_gpt":0.23014150117916124,"score_spread":0.20131255311507887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388230279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9671358,0.00023803218,0.0000232989,0.0017563789,0.00068903813,0.00028550086,0.000009527675,0.000107770495,0.029754661],"genre_scores_gemma":[0.99639493,0.0023042583,0.000012357703,0.00025479993,0.000078126584,0.000041072984,0.0000010816192,0.000032719166,0.00088067725],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988498,0.000024401943,0.000506106,0.00027998092,0.000023023551,0.00031666478],"domain_scores_gemma":[0.99813646,0.0011197333,0.00024047215,0.00043258295,0.0000045802517,0.000066172965],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013311821,0.00013061673,0.00027405945,0.00022486993,0.00023378723,0.00009651519,0.00040488932,0.000067828456,0.00004734246],"category_scores_gemma":[0.0005576716,0.00009429614,0.000103864826,0.00019573983,0.0000906007,0.00010025147,0.000089666886,0.0001307237,0.0008031255],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043598627,0.00016543634,0.40364325,0.0006685042,0.00029248683,0.000026780694,0.004954313,0.065290414,0.00015569238,0.49804,0.020717598,0.005609538],"study_design_scores_gemma":[0.0054434235,0.00035350802,0.433752,0.0000821885,0.000020784137,0.0000110342,0.0012030782,0.028788557,0.0025668791,0.11614128,0.41019812,0.0014391426],"about_ca_topic_score_codex":0.0012074307,"about_ca_topic_score_gemma":0.0010915871,"teacher_disagreement_score":0.38948053,"about_ca_system_score_codex":0.00025196877,"about_ca_system_score_gemma":0.00004139519,"threshold_uncertainty_score":0.99997485},"labels":[],"label_agreement":null},{"id":"W4388230376","doi":"10.15396/eres2023_84","title":"Office and Industrial Property Cycles and Sub-market Emergence in Three Canadian Cities","year":2023,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Property market; Context (archaeology); Industrial property; Stock (firearms); Investment (military); Property (philosophy); Business; Residential property; Regional science; Industrial organization; Finance; Geography; Intellectual property; Computer science; Political science","score_opus":0.06442224262096025,"score_gpt":0.20261118111436213,"score_spread":0.13818893849340189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388230376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8433067,0.00013264276,0.000004787416,0.0008952862,0.0002642634,0.00013009996,0.000034710873,0.000032749267,0.15519874],"genre_scores_gemma":[0.9964892,0.001443142,0.000041911415,0.000113356065,0.000075892516,0.000011631183,0.0000068492063,0.000016764465,0.0018012103],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990228,0.000008841115,0.00032517506,0.00030160183,0.000012680029,0.00032894907],"domain_scores_gemma":[0.9996138,0.000049572845,0.00005802403,0.00013170899,0.0000069536163,0.0001399093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064407097,0.00011083501,0.00023565411,0.0003910396,0.0000995433,0.00009482592,0.00009235114,0.00011637393,0.0005205643],"category_scores_gemma":[0.00011758364,0.000107952146,0.000019995257,0.00024434246,0.00007053092,0.00020168284,0.00006125923,0.00011349091,0.00013612155],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026904236,0.00000701173,0.9649579,0.000017172608,0.0000132562545,0.0000074539885,0.00027138586,0.000018736906,0.0000025961651,0.008869406,0.013120397,0.012687805],"study_design_scores_gemma":[0.0008287428,0.0000436849,0.88130873,0.00002560346,0.0000034588218,0.000005062367,0.000533944,0.022800336,0.000013996237,0.017307706,0.076593764,0.00053496275],"about_ca_topic_score_codex":0.137433,"about_ca_topic_score_gemma":0.5200618,"teacher_disagreement_score":0.38262877,"about_ca_system_score_codex":0.000054491426,"about_ca_system_score_gemma":0.000054139284,"threshold_uncertainty_score":0.8683109},"labels":[],"label_agreement":null},{"id":"W4388230451","doi":"10.15396/eres2023_325","title":"The long-term housing rental market in Poland for the years 2000-2023","year":2023,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Renting; Quarter (Canadian coin); Business; Financial crisis; Index (typography); Rental housing; Term (time); Agricultural economics; Coronavirus disease 2019 (COVID-19); Advertising; Economics; Geography; Computer science; Political science; World Wide Web","score_opus":0.03282191210300488,"score_gpt":0.2342865108663629,"score_spread":0.20146459876335804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388230451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90981334,0.00061928405,0.0003693194,0.0019388386,0.0015314822,0.00048099898,0.00007554906,0.000080184014,0.08509102],"genre_scores_gemma":[0.98483485,0.0018131487,0.000056401772,0.0001634959,0.00021095347,0.00004460542,0.000013740198,0.000035625337,0.012827183],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989668,0.000010251958,0.0003798987,0.00023917147,0.000018351311,0.00038548885],"domain_scores_gemma":[0.99916196,0.0004120794,0.00009316746,0.0002917041,0.0000062746135,0.000034816545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013415562,0.0001003025,0.00017683089,0.00012958617,0.0002357672,0.0002137531,0.00027866286,0.000063994004,0.0002906649],"category_scores_gemma":[0.00009219236,0.00007869392,0.00010220197,0.00026441828,0.000060468912,0.00010506213,0.00008648459,0.000100916615,0.00047607772],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015574085,0.000042707677,0.87006956,0.000029836583,0.00009007961,0.000010904625,0.0005588594,0.00032064843,0.0000044467415,0.01204325,0.055788223,0.06088573],"study_design_scores_gemma":[0.0006830625,0.00002225849,0.89775544,0.000011427782,0.00000448814,0.0000023051464,0.0001924831,0.027423779,0.0000042358056,0.0053235567,0.06835406,0.00022292507],"about_ca_topic_score_codex":0.00032576994,"about_ca_topic_score_gemma":0.0028555952,"teacher_disagreement_score":0.07502152,"about_ca_system_score_codex":0.00011166168,"about_ca_system_score_gemma":0.000022342574,"threshold_uncertainty_score":0.6119175},"labels":[],"label_agreement":null},{"id":"W4388355623","doi":"10.61701/789881.21","title":"Do Hotels and Mixed-Use Projects Benefit Each Other? Evidence from China","year":2017,"lang":"en","type":"article","venue":"ICHRIE Research Reports","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Marriott International (Canada)","funders":"","keywords":"Apartment; Business; Marketing; Real estate; Product (mathematics); Service (business); Economic rent; Price premium; Originality; Occupancy; Unit (ring theory); Residence; Unit price; Finance; Economics; Willingness to pay; Engineering; Qualitative research","score_opus":0.21889796281680274,"score_gpt":0.3504807164894718,"score_spread":0.13158275367266908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388355623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94281113,0.0022240507,0.00005650034,0.00060598366,0.00052763795,0.0003977923,0.00004970505,0.00004313134,0.053284045],"genre_scores_gemma":[0.99438584,0.0026824013,0.0005663084,0.000019454805,0.0003237994,0.00004702571,0.0000058245028,0.000055505967,0.0019138264],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973118,0.000046444773,0.00073498744,0.0010303258,0.00017212195,0.0007043652],"domain_scores_gemma":[0.9965909,0.00035640085,0.00065315043,0.0019964038,0.00013205178,0.00027111018],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00556208,0.00021093244,0.0004995879,0.00028564257,0.0009746519,0.0020802037,0.00048181383,0.00019881189,0.00028247698],"category_scores_gemma":[0.0055730566,0.00023316813,0.000099515135,0.000107151754,0.00034489072,0.0014709034,0.0005284676,0.00046339867,0.0002241669],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005572266,0.00006466381,0.972959,0.000047734524,0.000062880754,0.000370881,0.0008550641,0.00000895773,0.00009150938,0.0022504258,0.002441777,0.020791385],"study_design_scores_gemma":[0.00030267838,0.000101668105,0.87615186,0.0002570933,0.0000064077913,0.00005892579,0.000048665555,0.0005627033,0.0007033143,0.06337956,0.057957187,0.00046993635],"about_ca_topic_score_codex":0.017086335,"about_ca_topic_score_gemma":0.0011230109,"teacher_disagreement_score":0.096807145,"about_ca_system_score_codex":0.00020205107,"about_ca_system_score_gemma":0.00014147165,"threshold_uncertainty_score":0.9989557},"labels":[],"label_agreement":null},{"id":"W4388579790","doi":"10.2139/ssrn.4617778","title":"Estimating the Effect of Metro Vancouver's 2016 Foreign Buyers Tax on City-Level Real Estate Prices","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Real estate; Demographic economics; Agricultural economics; Economics; Residential real estate; Business; Finance","score_opus":0.018591027283459752,"score_gpt":0.22958342961252692,"score_spread":0.21099240232906719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388579790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9260636,0.00012853758,0.0038431103,0.00019026216,0.00092162925,0.00019793621,0.000034505956,0.000047698184,0.06857272],"genre_scores_gemma":[0.9934927,0.0047583696,0.00029559367,0.000023816425,0.00030530817,0.000011599156,0.000005419313,0.000046481622,0.0010607158],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99731493,0.00005394457,0.0006797589,0.00028656516,0.000069842325,0.0015949548],"domain_scores_gemma":[0.9984175,0.00041510098,0.0007890633,0.0002835083,0.00002407362,0.00007075954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062223743,0.00021429398,0.00047289804,0.00035356838,0.00033495823,0.000085220476,0.0004562885,0.000088423636,0.000047429017],"category_scores_gemma":[0.00028701714,0.0001704634,0.00023764528,0.00038816867,0.00006542001,0.0002340381,0.00006297424,0.0009593545,0.00017832595],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010647547,0.0001365224,0.2921982,0.0001827447,0.0019763694,0.000022379192,0.0014133571,0.040609736,0.00005746315,0.19877009,0.0109539265,0.45261446],"study_design_scores_gemma":[0.005338334,0.0047163027,0.015859421,0.0001769197,0.00014705352,0.00006162122,0.0027404206,0.109612696,0.00057894405,0.8503017,0.009078767,0.0013878114],"about_ca_topic_score_codex":0.0005913427,"about_ca_topic_score_gemma":0.0019846924,"teacher_disagreement_score":0.65153164,"about_ca_system_score_codex":0.0007200721,"about_ca_system_score_gemma":0.00026840606,"threshold_uncertainty_score":0.69512963},"labels":[],"label_agreement":null},{"id":"W4388702441","doi":"10.1057/s41599-023-02354-x","title":"Did the 2012 Spanish law reform to protect mortgage debtors modify banks’ lending behavior?","year":2023,"lang":"en","type":"article","venue":"Humanities and Social Sciences Communications","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agencia Estatal de Investigación; Ministerio de Ciencia e Innovación; European Regional Development Fund; Fundación Ramón Areces","keywords":"Interest rate; Decree; Inflation (cosmology); Unemployment; Payment; Economics; Quarter (Canadian coin); Panel data; Floating interest rate; Business; Monetary economics; Finance; Econometrics; Law; Geography; Macroeconomics; Political science","score_opus":0.25483089490343486,"score_gpt":0.30705635923786895,"score_spread":0.05222546433443409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388702441","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40484768,0.0002510625,0.000025966969,0.00645112,0.00023476605,0.00038128564,0.000074576776,0.00011249999,0.58762103],"genre_scores_gemma":[0.99708277,0.00052997656,0.00015994998,0.0006525124,0.00008876537,0.00015526116,0.000013818144,0.000012360134,0.0013045669],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991527,0.00003086217,0.0002897643,0.00019462059,0.000038792878,0.0002932189],"domain_scores_gemma":[0.9993762,0.0000707569,0.00012578149,0.0003841133,0.000016221193,0.000026936272],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0010584283,0.00009490874,0.00017059555,0.00011785914,0.0044097463,0.00045573575,0.0008369971,0.000051691146,0.00007595197],"category_scores_gemma":[0.00001609401,0.00008872271,0.00006219075,0.00028135197,0.0009002591,0.00039122225,0.00047929646,0.00015427364,0.0001219338],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.982324e-7,0.000015745874,0.001451913,0.0000044116728,0.0000061231895,1.6296964e-7,0.008099296,0.0000048823645,0.0000047027897,0.9884489,0.00065977615,0.0013031906],"study_design_scores_gemma":[0.00020613277,0.00009405672,0.050312936,0.00001788953,0.00001812093,0.0000024154442,0.019014135,0.0021702258,0.000009812707,0.06794827,0.85965544,0.0005505489],"about_ca_topic_score_codex":0.0032243354,"about_ca_topic_score_gemma":0.0062874164,"teacher_disagreement_score":0.92050064,"about_ca_system_score_codex":0.000117438816,"about_ca_system_score_gemma":0.000017673583,"threshold_uncertainty_score":0.9968864},"labels":[],"label_agreement":null},{"id":"W4388936513","doi":"10.1155/2023/9984715","title":"Relationship between Indoor Living Environment and Housing Prices: A Case Study of the Taojinjiayuan Residential Quarter in Guangzhou, China","year":2023,"lang":"en","type":"article","venue":"Indoor Air","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Yunnan Normal University; National Natural Science Foundation of China","keywords":"Quarter (Canadian coin); Living space; Living room; China; Real estate; Business; Built environment; Housing estate; Environmental science; Geography; Architectural engineering; Apartment; Civil engineering; Engineering; Finance","score_opus":0.041313999976683106,"score_gpt":0.23538608294260915,"score_spread":0.19407208296592604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388936513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977524,0.000049293063,0.00003947216,0.00019837328,0.00017845829,0.00043330356,0.000022033375,0.000030862848,0.0012958036],"genre_scores_gemma":[0.9996968,0.00001490959,0.000054646396,0.000017079252,0.00009296303,0.000024340587,0.00000218944,0.000029095607,0.000067992616],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985659,0.00006108345,0.0007070816,0.0003555902,0.000045010205,0.00026530478],"domain_scores_gemma":[0.9989096,0.00031652857,0.0003575717,0.00036279298,0.00000447279,0.000049048984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010941952,0.00014383075,0.0003396586,0.00035847528,0.00020440639,0.000056944344,0.00017620156,0.00010150739,0.00002822895],"category_scores_gemma":[0.00015491238,0.00014682816,0.000064201755,0.00036179708,0.00006193929,0.00022356819,0.00020842785,0.00023558947,0.000057088004],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000066742787,0.00007516716,0.988727,0.000024071564,0.00001845256,0.00003915804,0.010180085,0.00023905905,0.0000012615906,0.00017862908,0.000052315183,0.00045815666],"study_design_scores_gemma":[0.0005980572,0.000070307564,0.9935477,0.000029504421,0.000012404787,0.000015238533,0.0033760995,0.0006377102,0.0000039735396,0.001423159,0.00012269779,0.00016316166],"about_ca_topic_score_codex":0.0026889297,"about_ca_topic_score_gemma":0.0014447769,"teacher_disagreement_score":0.0068039857,"about_ca_system_score_codex":0.00011074972,"about_ca_system_score_gemma":0.000016291006,"threshold_uncertainty_score":0.59874785},"labels":[],"label_agreement":null},{"id":"W4389254479","doi":"10.2139/ssrn.4640678","title":"Size distortions in robust estimators: implications for asset pricing","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; HEC Montréal","funders":"","keywords":"Estimator; Econometrics; Capital asset pricing model; Economics; Asset (computer security); Financial economics; Computer science; Mathematics; Statistics","score_opus":0.031369741089114736,"score_gpt":0.24878878035321128,"score_spread":0.21741903926409656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389254479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.864514,0.0009402006,0.11080482,0.009002672,0.0008693371,0.0005146926,0.000120937555,0.00016900833,0.013064314],"genre_scores_gemma":[0.99551153,0.0023529946,0.000730521,0.00005536016,0.0001905195,0.0000507315,0.000022192093,0.000037183552,0.0010489889],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99776745,0.000009313879,0.0005546409,0.00023597495,0.000014612843,0.001418008],"domain_scores_gemma":[0.99931353,0.00016841423,0.00025604683,0.00017881565,0.000021683125,0.0000615227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002042308,0.000109974906,0.00024571276,0.0003002806,0.00025533058,0.000086634565,0.00021337088,0.000073663854,0.000024235746],"category_scores_gemma":[0.00037913537,0.00013640957,0.00012574087,0.00040908315,0.00002159422,0.00023559944,0.000027248678,0.00052235555,0.00014616098],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016045095,0.00006165826,0.1905429,0.000011700893,0.00005933513,5.1873076e-7,0.00015686982,0.005394807,0.000017243347,0.79677695,0.0011730567,0.0057889144],"study_design_scores_gemma":[0.0006029759,0.00006138655,0.09305617,0.000011143089,0.000007080358,0.000032844862,0.0002056523,0.01029179,0.0000015120179,0.8873918,0.008110999,0.00022662772],"about_ca_topic_score_codex":0.000085413856,"about_ca_topic_score_gemma":0.0011363643,"teacher_disagreement_score":0.1309975,"about_ca_system_score_codex":0.0012832013,"about_ca_system_score_gemma":0.00035636793,"threshold_uncertainty_score":0.5562621},"labels":[],"label_agreement":null},{"id":"W4389254561","doi":"10.2139/ssrn.4640669","title":"Long-Run Risk Unwrapped: An Analytical Expression of the Wealth-Consumption Ratio","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Economics; Consumption (sociology); Econometrics; Expression (computer science); Financial economics; Computer science; Sociology; Social science","score_opus":0.02522235306365894,"score_gpt":0.249104650666776,"score_spread":0.22388229760311706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389254561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99210227,0.00039990945,0.0045441813,0.0004123775,0.00044160313,0.00010551123,0.000016049136,0.000032394306,0.0019457135],"genre_scores_gemma":[0.9874433,0.011464902,0.000031284286,0.00003266126,0.00021840839,0.0000030358606,0.0000068532004,0.0000253378,0.0007742138],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978723,0.00007330251,0.00064047734,0.00024316185,0.00005233853,0.0011183997],"domain_scores_gemma":[0.99889886,0.00005361875,0.0006066037,0.00033004928,0.00002605432,0.00008482986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028854026,0.00012587417,0.00027912724,0.0002303001,0.00031816107,0.0000650259,0.00035427485,0.000111139845,0.00013170972],"category_scores_gemma":[0.00012830232,0.00011085095,0.00017685248,0.00028003348,0.00006690443,0.00029317586,0.00005953029,0.0009975765,0.0002670471],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009148618,0.00009692024,0.79250175,0.000019168197,0.000090397094,0.0000011683293,0.0003463001,0.0014473059,0.00008097249,0.19299784,0.00037639268,0.011950318],"study_design_scores_gemma":[0.0015967134,0.00033962,0.29316315,0.000051390012,0.00004774853,0.000078066005,0.00066428434,0.042351115,0.00037907186,0.65742517,0.003414862,0.00048884907],"about_ca_topic_score_codex":0.000102133345,"about_ca_topic_score_gemma":0.0005798259,"teacher_disagreement_score":0.4993386,"about_ca_system_score_codex":0.0004597952,"about_ca_system_score_gemma":0.00034576812,"threshold_uncertainty_score":0.45203707},"labels":[],"label_agreement":null},{"id":"W4389295086","doi":"10.2139/ssrn.4652870","title":"Long-Run Risk Unwrapped: An Analytical Expression of the Wealth-Consumption Ratio","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Economics; Consumption (sociology); Econometrics; Expression (computer science); Monetary economics; Computer science; Art","score_opus":0.039111069165100695,"score_gpt":0.2638995764424143,"score_spread":0.2247885072773136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389295086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9741762,0.0015088393,0.019779244,0.0006223539,0.0019879418,0.00031786395,0.00010389226,0.00005436166,0.0014492851],"genre_scores_gemma":[0.9625435,0.035503633,0.00009854849,0.000031214477,0.0005727338,0.000010774875,0.000030106376,0.000075265096,0.0011342524],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996337,0.00015252865,0.0013147376,0.00057134323,0.00008950029,0.0015349124],"domain_scores_gemma":[0.99694043,0.00008188685,0.001990993,0.00079955993,0.000056701178,0.00013041706],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0044981795,0.00030369204,0.00068869884,0.0003663423,0.00034706446,0.00016488243,0.00087089825,0.00043722274,0.00013056755],"category_scores_gemma":[0.00022420981,0.00028102795,0.0004618472,0.00016359046,0.00011164212,0.00022300589,0.00037331192,0.0041679936,0.00019641816],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020787229,0.0002664769,0.80742806,0.00016924954,0.00048376335,0.0000029019495,0.00062234205,0.011085931,0.000021935635,0.16908789,0.00053155184,0.010092014],"study_design_scores_gemma":[0.00082331785,0.00016952389,0.081267506,0.00016868417,0.00009445256,0.000042439744,0.00025148204,0.02449158,0.000083372914,0.8911954,0.00083473616,0.00057750865],"about_ca_topic_score_codex":0.0004724533,"about_ca_topic_score_gemma":0.002024106,"teacher_disagreement_score":0.7261606,"about_ca_system_score_codex":0.0013462497,"about_ca_system_score_gemma":0.0012174154,"threshold_uncertainty_score":0.9999642},"labels":[],"label_agreement":null},{"id":"W4389309270","doi":"10.1111/1540-6229.12468","title":"Foreign buyer taxes and housing affordability","year":2023,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Kamloops Art Gallery; University of British Columbia; Simon Fraser University","funders":"","keywords":"Database transaction; Economics; Transaction data; Ad valorem tax; Business; Public economics; Tax reform; Monetary economics; Labour economics","score_opus":0.03423117592167713,"score_gpt":0.21775786674227476,"score_spread":0.18352669082059764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389309270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7410692,0.000018651193,0.0000955875,0.00021563776,0.00033787897,0.00015479505,0.00019635184,0.00016313168,0.25774878],"genre_scores_gemma":[0.97369874,0.024501726,0.00082747027,0.000090932735,0.00017571356,0.000020898475,0.00006144639,0.00007811251,0.00054493535],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99804336,0.000014212994,0.0007381393,0.00062666857,0.000013132369,0.00056449336],"domain_scores_gemma":[0.9989345,0.00013530656,0.0003099444,0.0004257493,0.000014955765,0.00017956202],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010102465,0.00024110677,0.0005302181,0.0002871206,0.00021158483,0.00020714114,0.00019290387,0.00014556022,0.00011472242],"category_scores_gemma":[0.00006786406,0.00031242173,0.00012178253,0.00018238793,0.00014062996,0.00046008054,0.00016598818,0.00014681878,0.0009482301],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012999788,0.000102459846,0.4670677,0.00020304578,0.00016481365,0.000020987743,0.002040332,0.0049581765,0.000017886543,0.320971,0.002432084,0.20189153],"study_design_scores_gemma":[0.0021129358,0.00019675496,0.12587525,0.000029987648,0.000027828259,0.000027795535,0.0014569989,0.17778775,0.0001275675,0.47853652,0.21189182,0.001928812],"about_ca_topic_score_codex":0.0011381789,"about_ca_topic_score_gemma":0.00057277514,"teacher_disagreement_score":0.34119242,"about_ca_system_score_codex":0.00020028515,"about_ca_system_score_gemma":0.000038027396,"threshold_uncertainty_score":0.99993277},"labels":[],"label_agreement":null},{"id":"W4389841245","doi":"10.5267/j.dsl.2023.10.003","title":"Generations, permanent income and housing tenure choice: A multinomial logit model approach","year":2023,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Housing tenure; Multinomial logistic regression; Residence; Renting; Rental housing; Demographic economics; Economics; Survey data collection; Affordable housing; Public economics; Labour economics; Economic growth; Political science","score_opus":0.05874278750557914,"score_gpt":0.2671182173017668,"score_spread":0.20837542979618767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389841245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9622947,0.00003259689,0.0331449,0.001166919,0.00040972937,0.00014070133,0.000022105462,0.000078882455,0.0027094723],"genre_scores_gemma":[0.9824815,0.00009135463,0.016134793,0.0010529904,0.0001360272,0.000013213472,0.000008433453,0.00001912088,0.00006259242],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99833935,0.000007552391,0.00046115057,0.0006743318,0.00009559405,0.00042201998],"domain_scores_gemma":[0.99921995,0.00009691783,0.00015886466,0.00036975497,0.00002067025,0.00013383366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015175276,0.0001432921,0.00025139368,0.0006907618,0.0005474005,0.0004715274,0.0003339555,0.00006705268,0.000013080514],"category_scores_gemma":[0.00028443668,0.00015320862,0.000059313134,0.0007526928,0.0002914499,0.0006349917,0.00023963509,0.00013643106,0.00027162462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060464277,0.00013170498,0.40968174,0.000046172663,0.000028454935,0.000028373057,0.0035301154,0.49158803,0.010133336,0.016928792,0.011684069,0.05615873],"study_design_scores_gemma":[0.00037364275,0.000008036665,0.055222932,0.0000073798074,0.000002069002,0.0000060126054,0.00005024239,0.93987066,0.00003070723,0.00256666,0.0016145709,0.000247074],"about_ca_topic_score_codex":0.000039813556,"about_ca_topic_score_gemma":0.0000070940355,"teacher_disagreement_score":0.44828263,"about_ca_system_score_codex":0.00014247054,"about_ca_system_score_gemma":0.000030447665,"threshold_uncertainty_score":0.6247666},"labels":[],"label_agreement":null},{"id":"W4389933976","doi":"10.1016/j.cities.2023.104726","title":"Places left behind? Declining inner suburbs in the Toronto Census Metropolitan Area, 1980–2015","year":2023,"lang":"en","type":"article","venue":"Cities","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Metropolitan area; Demographic economics; Polarization (electrochemistry); Census; Real estate; Geography; Economic geography; Restructuring; Economics; Labour economics; Demography; Sociology; Population; Finance","score_opus":0.055645683390182374,"score_gpt":0.2576740518057799,"score_spread":0.20202836841559751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389933976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7299409,0.0010151435,0.000010710471,0.00075713114,0.00069614867,0.00009382191,0.000100001125,0.000072938536,0.2673132],"genre_scores_gemma":[0.994937,0.0008548943,0.00007933829,0.0003265283,0.00022889317,0.000017561573,0.000056981098,0.00003068505,0.0034680972],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986422,0.00003105143,0.0005354768,0.00030350758,0.000037110225,0.00045064712],"domain_scores_gemma":[0.9991405,0.0002867055,0.00016093967,0.0003463399,0.000014875206,0.00005065622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013492869,0.00016358927,0.00035246255,0.00020275074,0.00015951593,0.00016738048,0.00036189437,0.00007743025,0.0003583395],"category_scores_gemma":[0.00019825133,0.00015855079,0.000096986565,0.00010878247,0.000102594975,0.00031940916,0.00008141822,0.00014974482,0.0004179932],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004543814,0.000063138694,0.6836763,0.000057273264,0.000080877275,0.00004209925,0.02139429,0.00023230471,0.0000032356868,0.24716078,0.04550276,0.0017414959],"study_design_scores_gemma":[0.0015166736,0.00016670101,0.18172988,0.000071027476,0.000020973306,0.000024350651,0.105148695,0.0099461265,0.00004321859,0.118367635,0.58168465,0.001280058],"about_ca_topic_score_codex":0.004371886,"about_ca_topic_score_gemma":0.016572673,"teacher_disagreement_score":0.5361819,"about_ca_system_score_codex":0.00040421076,"about_ca_system_score_gemma":0.00002159613,"threshold_uncertainty_score":0.924794},"labels":[],"label_agreement":null},{"id":"W4389952378","doi":"10.1007/s10551-023-05563-1","title":"How Gender Diversity Shapes Cities: Evidence from Risk Management Decisions in REITs","year":2023,"lang":"en","type":"article","venue":"Journal of Business Ethics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; York University","funders":"Université Laval","keywords":"Real estate investment trust; Business; Gender diversity; Real estate; Diversity (politics); Investment (military); Business ethics; Real estate development; Finance; Economics; Political science; Management; Corporate governance","score_opus":0.23770598257831357,"score_gpt":0.2796386126500743,"score_spread":0.04193263007176071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389952378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9700004,0.0013850715,0.016748725,0.005399206,0.0015907374,0.00010796145,0.00007636505,0.000028962037,0.004662611],"genre_scores_gemma":[0.92441446,0.072636046,0.0022364985,0.00018635341,0.00021668224,0.0000013705677,0.0000031046297,0.000019577137,0.00028589653],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986178,0.000054825075,0.0006992475,0.0002493004,0.000118534466,0.00026023676],"domain_scores_gemma":[0.9975297,0.001184487,0.00081770745,0.00021453001,0.00017159557,0.000081977734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033438534,0.00014004485,0.00044409998,0.0007031487,0.00026610823,0.00020768243,0.00049242866,0.00021867886,0.00007217114],"category_scores_gemma":[0.0026337137,0.00015380258,0.00013292713,0.0007531339,0.000067845496,0.00080710027,0.00046020644,0.0007595963,0.00011289918],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026356793,0.00013644245,0.91887504,0.00017981968,0.00035793375,0.00045121968,0.0136732375,0.023641797,0.000007395841,0.014034652,0.005903001,0.022475911],"study_design_scores_gemma":[0.00069077854,0.000019310713,0.8277026,0.00036000065,0.000033354572,0.0000057513766,0.0014203883,0.0046201413,0.0000031448417,0.15282667,0.012045299,0.00027257417],"about_ca_topic_score_codex":0.00034869954,"about_ca_topic_score_gemma":0.00021584025,"teacher_disagreement_score":0.13879202,"about_ca_system_score_codex":0.00018441805,"about_ca_system_score_gemma":0.000059533988,"threshold_uncertainty_score":0.62718874},"labels":[],"label_agreement":null},{"id":"W4390060892","doi":"10.3390/jrfm17010007","title":"Evaluating the Performance of Real Estate Exchange-Traded Funds","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; Portfolio; Business; Real estate investment trust; Market timing; Financial economics; Stock exchange; Econometrics; Excess return; Economics; Monetary economics; Finance; Geography","score_opus":0.046539873573996464,"score_gpt":0.26069034481879194,"score_spread":0.21415047124479547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390060892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98467857,0.00018145214,0.0003160608,0.00011521174,0.00055679574,0.000094370866,0.00001374665,0.000008194062,0.014035583],"genre_scores_gemma":[0.91600245,0.08298354,0.0005470088,0.000023378449,0.00019050055,0.000003359553,0.0000012289285,0.000011207068,0.00023731947],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989475,0.000021026271,0.0006600269,0.00012473976,0.000053185988,0.00019350534],"domain_scores_gemma":[0.99896985,0.00006980513,0.00074764434,0.00014550956,0.00002814868,0.000039062787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002529147,0.000092577386,0.0002959061,0.00026605782,0.00014701247,0.000037316437,0.00017924308,0.000039381208,0.000023487153],"category_scores_gemma":[0.00006925693,0.00007918429,0.00009609516,0.00027985714,0.00005274786,0.00014591793,0.00008971533,0.00014433457,0.000024734614],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018655605,0.000034844095,0.104482315,0.0001706724,0.00004620379,0.000010959949,0.0025065227,0.0017925804,0.000007422377,0.006225681,0.00086826296,0.883668],"study_design_scores_gemma":[0.0015957501,0.00079077354,0.88748556,0.000089487345,0.00007461446,0.000010351011,0.00057179766,0.023660744,0.000026521855,0.010198282,0.07522311,0.00027300155],"about_ca_topic_score_codex":0.0000602203,"about_ca_topic_score_gemma":0.000015058365,"teacher_disagreement_score":0.88339496,"about_ca_system_score_codex":0.00003448003,"about_ca_system_score_gemma":0.000012839312,"threshold_uncertainty_score":0.32290417},"labels":[],"label_agreement":null},{"id":"W4390206206","doi":"10.3386/w31989","title":"The Role of Intermediaries in Selection Markets: Evidence form Mortgage Lending","year":2023,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada; Queen's University","funders":"National Science Foundation","keywords":"Intermediary; Business; Selection (genetic algorithm); Mortgage underwriting; Secondary mortgage market; Financial system; Mortgage insurance; Monetary economics; Economics; Finance; Computer science","score_opus":0.4347999939538736,"score_gpt":0.481351072010202,"score_spread":0.04655107805632841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390206206","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028724048,0.0043433323,0.000012759397,0.0006580078,0.0019214245,0.00077896996,0.00020926761,0.000031604082,0.9633206],"genre_scores_gemma":[0.9648946,0.02947992,0.000058172365,0.000003833528,0.0005342887,0.00013941318,0.00008482852,0.00007330665,0.004731625],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99644965,0.00009729664,0.0019698136,0.0006020916,0.00030670155,0.00057445146],"domain_scores_gemma":[0.9943133,0.0036213647,0.0011332601,0.000360648,0.0005034614,0.000067990964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01959603,0.00022363255,0.00078426267,0.0017925615,0.0002086112,0.00013843826,0.00081308396,0.0004039938,0.00026565295],"category_scores_gemma":[0.006564038,0.00024067366,0.00024598985,0.00045673733,0.0005149431,0.00044346487,0.0003229194,0.0008730001,0.0002462506],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030430162,0.00008619145,0.1335862,0.00048550798,0.00032716832,0.0000024797869,0.00048216907,0.00050486677,0.000028975997,0.82711196,0.020318119,0.016762076],"study_design_scores_gemma":[0.00027596377,0.000082322884,0.012360147,0.0004446516,0.0000059806293,0.000008192808,0.00032010028,0.010195213,0.00015892676,0.9305367,0.045305144,0.0003066735],"about_ca_topic_score_codex":0.003412532,"about_ca_topic_score_gemma":0.0031289028,"teacher_disagreement_score":0.95858896,"about_ca_system_score_codex":0.0033520083,"about_ca_system_score_gemma":0.0016370784,"threshold_uncertainty_score":0.9814387},"labels":[],"label_agreement":null},{"id":"W4390226080","doi":"10.1016/j.jtrangeo.2023.103787","title":"Assessing mode-specific transport affordability in a car-centric city","year":2023,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Mode of transport; Business; Psychological intervention; Public economics; Service (business); Public transport; Mode choice; Transport engineering; Economics; Marketing","score_opus":0.03996405117687566,"score_gpt":0.2421241751317324,"score_spread":0.20216012395485675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390226080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878076,0.00054039655,0.0017882476,0.00028904135,0.00092821586,0.00014507279,0.00006477799,0.00004533223,0.008391342],"genre_scores_gemma":[0.99606806,0.0028885496,0.00076160923,0.00004457077,0.00015610547,0.000004318555,0.000023556253,0.000034208904,0.000019005882],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971857,0.000020573536,0.0018029058,0.0003640369,0.000096048694,0.0005307286],"domain_scores_gemma":[0.9987046,0.00006397857,0.00068741775,0.0003013285,0.000061539824,0.00018114757],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002311207,0.00023054675,0.0008510812,0.0017737144,0.000099180426,0.00006234321,0.00036702995,0.00017375834,0.00022760397],"category_scores_gemma":[0.00001545069,0.0002624432,0.00074792054,0.0016250124,0.00009468,0.0008735563,0.000008901189,0.00047433795,0.00002945236],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008091171,0.00018226563,0.99381244,0.000048258393,0.000054470627,0.00011646273,0.0004389794,0.002259568,0.000012439281,0.0005477199,0.00007948433,0.002366999],"study_design_scores_gemma":[0.0010328763,0.000051591403,0.972372,0.000046225465,0.000015864598,0.000014176028,0.00014630606,0.00056400546,0.000016018244,0.010712238,0.014743364,0.0002853409],"about_ca_topic_score_codex":0.00017665248,"about_ca_topic_score_gemma":0.00012987926,"teacher_disagreement_score":0.021440448,"about_ca_system_score_codex":0.000117227195,"about_ca_system_score_gemma":0.00005914852,"threshold_uncertainty_score":0.9999828},"labels":[],"label_agreement":null},{"id":"W4390240758","doi":"10.2139/ssrn.4675177","title":"The Role of Intermediaries in Selection Markets: Evidence Form Mortgage Lending","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; Queen's University; Government of Canada","funders":"","keywords":"Intermediary; Shared appreciation mortgage; Business; Mortgage underwriting; Mortgage insurance; Secondary mortgage market; Selection (genetic algorithm); Collateralized mortgage obligation; Financial system; Financial intermediary; Monetary economics; Economics; Actuarial science; Finance; Computer science","score_opus":0.01624097535509942,"score_gpt":0.2236284839553824,"score_spread":0.207387508600283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390240758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9840121,0.00462487,0.00088302465,0.0006885444,0.0005058128,0.00011408652,0.000003145213,0.000033121196,0.009135261],"genre_scores_gemma":[0.95707476,0.0421977,0.000016429793,0.000010236852,0.00012561625,0.000007582965,0.0000011311778,0.000019109284,0.00054743956],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978964,0.000029066387,0.0006061203,0.00016757978,0.000035511217,0.0012653462],"domain_scores_gemma":[0.99921936,0.00023550044,0.00036593794,0.0001256025,0.000019934241,0.00003367765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054603205,0.00010184922,0.00022353073,0.0003269872,0.00023119948,0.00009443966,0.00029680508,0.00006579178,0.00002863571],"category_scores_gemma":[0.00044225104,0.00009687721,0.000100512545,0.00041267925,0.00007681537,0.0004375625,0.000055932716,0.000833463,0.00007524941],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014116432,0.000022222104,0.33039367,0.000012397858,0.00008634425,0.0000013083104,0.00075989123,0.000119296856,0.000072336574,0.58617234,0.000110031826,0.082109004],"study_design_scores_gemma":[0.00027631642,0.000101263795,0.022926996,0.000052457865,0.000004795973,0.00005101254,0.0026669845,0.011087804,0.00010682854,0.9557883,0.0067748255,0.00016242261],"about_ca_topic_score_codex":0.00010964809,"about_ca_topic_score_gemma":0.0020755327,"teacher_disagreement_score":0.36961594,"about_ca_system_score_codex":0.0008745368,"about_ca_system_score_gemma":0.000287107,"threshold_uncertainty_score":0.39505377},"labels":[],"label_agreement":null},{"id":"W4390396123","doi":"10.3846/ijspm.2023.20662","title":"ANALYZING THE UNDERLYING RELATIONSHIP BETWEEN MONETARY POLICY AND RESIDENTIAL PROPERTY PRICES IN CHINA","year":2023,"lang":"en","type":"article","venue":"International Journal of Strategic Property Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Economics; Quarter (Canadian coin); Context (archaeology); China; Monetary policy; Volatility (finance); Monetary economics; Investment (military); Interest rate; Real estate investment trust; Business; Finance","score_opus":0.13586163089165887,"score_gpt":0.29509541256821636,"score_spread":0.1592337816765575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390396123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87316555,0.00029863213,0.0007572969,0.011235234,0.00046005583,0.00022300676,0.000009077121,0.000021501248,0.113829635],"genre_scores_gemma":[0.99707806,0.0012563237,0.00028563198,0.000048395184,0.00029499398,0.000004726071,0.0000060523657,0.000012648685,0.0010131405],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99880886,0.000024309107,0.0007263809,0.00017649813,0.00008196382,0.0001820066],"domain_scores_gemma":[0.99931324,0.000070860944,0.00042596416,0.000113413786,0.00003267553,0.000043843793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014425858,0.00010466966,0.00020447717,0.0007739542,0.00009923075,0.00028982866,0.0004340579,0.000041160514,0.000025075342],"category_scores_gemma":[0.00007557227,0.000062807194,0.000068271096,0.0003268159,0.000049249975,0.00043995035,0.00014385191,0.00021169063,0.000041793082],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011923768,0.000070704074,0.8140461,0.000087134955,0.0005352897,0.00014759561,0.0013103886,0.004686932,0.0000073336655,0.15227124,0.000640747,0.026077295],"study_design_scores_gemma":[0.000606989,0.000042186675,0.8370163,0.000083109735,0.000014293335,0.000013663502,0.00049362413,0.0042911707,0.0000015858185,0.15483989,0.0024579,0.00013931227],"about_ca_topic_score_codex":0.0006471612,"about_ca_topic_score_gemma":0.000059740327,"teacher_disagreement_score":0.12391252,"about_ca_system_score_codex":0.00017970755,"about_ca_system_score_gemma":0.000035913057,"threshold_uncertainty_score":0.27948245},"labels":[],"label_agreement":null},{"id":"W4390397091","doi":"10.3917/redp.145.0613","title":"10.3917/redp.145.0613","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.012145443048760404,"score_gpt":0.1539639431081525,"score_spread":0.14181850005939212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390397091","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012326271,0.000097103446,0.000005036041,0.00038073727,0.00001774855,0.00013136218,0.000051446605,0.000102554026,0.98688775],"genre_scores_gemma":[0.005437815,0.000009724437,0.00025014885,0.00016728396,0.00019858246,0.000014079981,0.00001737972,0.00004250188,0.9938625],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988174,0.000008164043,0.00042165638,0.00036852967,0.000019239713,0.0003650174],"domain_scores_gemma":[0.99932647,0.00003061284,0.00008117914,0.00039157408,0.000011581386,0.00015859089],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003250913,0.00015690531,0.0003288241,0.00015090372,0.00009613341,0.00010478009,0.00026273602,0.00009423996,0.9893195],"category_scores_gemma":[0.000035944813,0.00020532268,0.00010201775,0.00017155644,0.000028781107,0.00017160726,0.00004188643,0.00009195602,0.99178976],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009663533,0.00009745262,0.00005420938,0.000011198641,0.000043906228,0.000005357878,0.00007174472,0.00046664375,0.0000035669568,0.00044101267,0.21183282,0.7868754],"study_design_scores_gemma":[0.00023815705,0.000062251354,0.00027105748,0.0000052831015,0.000003325611,0.0000033812366,8.216311e-7,0.0015049487,0.0000060297175,0.0005400832,0.9970884,0.00027630548],"about_ca_topic_score_codex":0.00006987873,"about_ca_topic_score_gemma":6.830555e-7,"teacher_disagreement_score":0.78659916,"about_ca_system_score_codex":0.000088343346,"about_ca_system_score_gemma":0.000012912375,"threshold_uncertainty_score":0.8372816},"labels":[],"label_agreement":null},{"id":"W4390477216","doi":"10.1016/j.frl.2023.104966","title":"What is behind housing sentiment?","year":2024,"lang":"en","type":"article","venue":"Finance research letters","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"House price; Relation (database); Economics; Advertising; Political science; Business; Monetary economics; Computer science","score_opus":0.0731090743838624,"score_gpt":0.30681202289778947,"score_spread":0.2337029485139271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390477216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8899469,0.011906405,0.0011143981,0.04594332,0.004079945,0.00039273253,0.000073652016,0.00017633392,0.046366353],"genre_scores_gemma":[0.9784312,0.013169819,0.00059525255,0.0018621939,0.0006846339,0.000045676134,0.000017540633,0.000089811,0.005103838],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978428,0.00003488386,0.00044952272,0.0007280307,0.00009877349,0.0008459893],"domain_scores_gemma":[0.9992057,0.00013988308,0.000064382504,0.00047779657,0.000025969344,0.00008625799],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002053689,0.00016987407,0.0002901536,0.00058891496,0.00026946,0.0015897537,0.00035699006,0.00010354674,0.0008268155],"category_scores_gemma":[0.00004342004,0.00020833874,0.0001536281,0.0004360476,0.00018512801,0.0014141137,0.00016235352,0.00053883943,0.005615161],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083542014,0.00020377377,0.015071206,0.0006502217,0.0003114939,0.0005924332,0.009742611,0.0005084761,0.001861691,0.08912367,0.7209452,0.1609057],"study_design_scores_gemma":[0.00020027901,0.00003319639,0.0010303684,0.00024514348,0.000002799325,0.000006735858,0.000116364834,0.009019339,0.000605918,0.011307711,0.97708035,0.00035182532],"about_ca_topic_score_codex":0.00017224671,"about_ca_topic_score_gemma":0.000017163888,"teacher_disagreement_score":0.25613514,"about_ca_system_score_codex":0.00036339945,"about_ca_system_score_gemma":0.000044499517,"threshold_uncertainty_score":0.9994467},"labels":[],"label_agreement":null},{"id":"W4390507817","doi":"10.33423/jabe.v25i7.6640","title":"The Effects of Uncertainty Disclosures on REIT Returns","year":2023,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate investment trust; Business; Stock (firearms); Commission; Real estate; Financial economics; Economics; Accounting; Finance; Geography","score_opus":0.012435845261956673,"score_gpt":0.19234113941415812,"score_spread":0.17990529415220144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390507817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9793409,0.0002659937,0.000027824166,0.00084573857,0.0011667873,0.00011827992,0.0000186213,0.000011437544,0.0182044],"genre_scores_gemma":[0.985445,0.013938238,0.000061007147,0.00010247175,0.00029552588,0.0000050197177,0.0000040313316,0.000028277746,0.00012037906],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99862605,0.0000065369904,0.00090532773,0.00018780392,0.00002335277,0.0002509279],"domain_scores_gemma":[0.99814326,0.0004262736,0.0010633992,0.0002446738,0.00004676817,0.00007564918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009678583,0.00015608821,0.0005439765,0.00023511598,0.00016799674,0.0001159459,0.00026035187,0.000097916,0.00000989743],"category_scores_gemma":[0.00015243582,0.00012752881,0.00011805319,0.0002121074,0.00012310233,0.00013318047,0.00007161468,0.00016801077,0.000047968097],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019075987,0.00024563866,0.015093402,0.00077190966,0.00072053156,0.000023895524,0.0018424826,0.03772378,0.000282357,0.8423011,0.011642827,0.087444514],"study_design_scores_gemma":[0.0055269673,0.0006147771,0.17540318,0.00028903986,0.00010205502,0.0000447351,0.0012146703,0.011458404,0.00080369035,0.50735134,0.29596293,0.0012282294],"about_ca_topic_score_codex":0.000021211328,"about_ca_topic_score_gemma":0.000026981555,"teacher_disagreement_score":0.33494976,"about_ca_system_score_codex":0.00006847359,"about_ca_system_score_gemma":0.00003804553,"threshold_uncertainty_score":0.52004737},"labels":[],"label_agreement":null},{"id":"W4390541619","doi":"10.1111/cag.12895","title":"Intensification in the city centre: Barriers to implementation in Regina, Saskatchewan","year":2024,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Waterloo; University of Northern British Columbia","funders":"","keywords":"CITES; Context (archaeology); Urbanization; Downtown; City centre; Geography; Population; Core (optical fiber); Economic growth; Business; Political science; Sociology; Economics; Engineering; Demography; Archaeology","score_opus":0.012687813911973312,"score_gpt":0.20375183711401015,"score_spread":0.19106402320203683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390541619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97105056,0.0012533506,0.00001137339,0.0189588,0.0009064669,0.00052708376,0.00025958606,0.000045431865,0.00698735],"genre_scores_gemma":[0.99721324,0.0007005585,0.000067383364,0.0016350745,0.00007960899,0.000091343165,0.00008612801,0.000033946777,0.00009270671],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99788433,0.00004182486,0.00054042996,0.00060413993,0.000040829433,0.00088843267],"domain_scores_gemma":[0.99879915,0.00008715458,0.000079694204,0.00043176528,0.000030959243,0.0005712594],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010186952,0.00024460288,0.00031465027,0.00574552,0.00021411409,0.00032924628,0.00043019254,0.00011942984,0.00022576874],"category_scores_gemma":[0.00012329046,0.00026919635,0.00015300734,0.0051886667,0.00022077077,0.0003221225,0.000022929567,0.00025177075,0.000046859066],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010818212,0.000008146084,0.878998,0.000042864187,0.000042801683,0.00007894639,0.023522995,0.000037851813,0.000002069371,0.067837,0.016631765,0.012786743],"study_design_scores_gemma":[0.0003045111,0.000055579352,0.4270095,0.000077282886,0.000011825017,0.000015562724,0.12515515,0.00023722104,0.0000046186656,0.021155534,0.425307,0.0006662051],"about_ca_topic_score_codex":0.77379215,"about_ca_topic_score_gemma":0.99868035,"teacher_disagreement_score":0.45198852,"about_ca_system_score_codex":0.00037116843,"about_ca_system_score_gemma":0.00019839144,"threshold_uncertainty_score":0.99997604},"labels":[],"label_agreement":null},{"id":"W4390663093","doi":"10.3390/jrfm17010022","title":"An Investigation into the Spatial Distribution of British Housing Market Activity","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Inequality; Distribution (mathematics); Value (mathematics); Econometrics; Exponent; Normality; Financial crisis; Power (physics); Macroeconomics; Statistics; Mathematics","score_opus":0.008915935476080099,"score_gpt":0.19475066533986576,"score_spread":0.18583472986378566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390663093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92828685,0.0008778959,0.06905765,0.00012488151,0.00068122044,0.00007458984,0.000056177305,0.000007501981,0.0008332298],"genre_scores_gemma":[0.9936705,0.005600073,0.00039592138,0.000020711565,0.00026437576,0.0000014679697,0.0000035061835,0.0000088548195,0.00003458027],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9992589,0.000028795512,0.0004305956,0.000138795,0.000036959038,0.00010599771],"domain_scores_gemma":[0.9994392,0.000040031384,0.0003513024,0.000101954574,0.000023874776,0.00004363877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012959555,0.000071395356,0.00021061668,0.00010627267,0.00009970046,0.00014367144,0.00010851852,0.000049774346,0.000016915606],"category_scores_gemma":[0.000047126145,0.000074639,0.00008190058,0.00014106263,0.000071996954,0.00035126702,0.000039273484,0.00015429803,0.0000027870653],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072114555,0.000046070432,0.029413745,0.00010910991,0.000031153006,0.00001851675,0.000892667,0.00013852428,0.0000059734116,0.009999372,0.0013692259,0.9579035],"study_design_scores_gemma":[0.00041819463,0.00017307309,0.8545581,0.00016358397,0.00006556683,0.000013588377,0.00019482772,0.013521452,0.00002330611,0.07449808,0.056183774,0.00018645624],"about_ca_topic_score_codex":0.0014716624,"about_ca_topic_score_gemma":0.00049206585,"teacher_disagreement_score":0.95771706,"about_ca_system_score_codex":0.0000738268,"about_ca_system_score_gemma":0.000018077242,"threshold_uncertainty_score":0.304369},"labels":[],"label_agreement":null},{"id":"W4390669110","doi":"10.2139/ssrn.4687027","title":"Refinancing Frictions, Mortgage Pricing and Redistribution","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Redistribution (election); Mortgage underwriting; Economics; Shared appreciation mortgage; Monetary economics; Collateralized mortgage obligation; Commercial mortgage-backed security; Mortgage insurance; Business; Finance; Political science; Insurance policy","score_opus":0.010874421080498926,"score_gpt":0.204745215102083,"score_spread":0.19387079402158405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390669110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75042355,0.04988932,0.1347711,0.00199665,0.001982228,0.0001397858,0.000029914978,0.00018754057,0.06057993],"genre_scores_gemma":[0.97710264,0.021657016,0.00012077685,0.00003059424,0.00038606534,0.0000028776522,0.0000064135465,0.000024356848,0.00066923583],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982468,0.000011364137,0.0004244618,0.00025584133,0.000021615067,0.0010399427],"domain_scores_gemma":[0.999668,0.000030879768,0.00012540357,0.00010718437,0.000012721142,0.0000558335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022272097,0.000112766225,0.00019099121,0.00021835572,0.00028143488,0.00024380162,0.000088668254,0.000078181045,0.000029346587],"category_scores_gemma":[0.00007023268,0.00012831729,0.00007933909,0.00018682062,0.000023962482,0.0003842041,0.000029272951,0.0010234403,0.000110879366],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000068723916,0.000010339333,0.004381327,0.000019291521,0.00006146212,0.0000050002727,0.00013556716,0.000017867062,0.000026494421,0.9751339,0.00023635442,0.019965516],"study_design_scores_gemma":[0.0002484664,0.00010133287,0.0019068824,0.000059396258,0.00001754728,0.0005975772,0.0004043575,0.008771749,0.000017024417,0.9358048,0.0518051,0.0002658],"about_ca_topic_score_codex":0.00007376348,"about_ca_topic_score_gemma":0.00010796221,"teacher_disagreement_score":0.22667913,"about_ca_system_score_codex":0.0011645386,"about_ca_system_score_gemma":0.00025812685,"threshold_uncertainty_score":0.52326274},"labels":[],"label_agreement":null},{"id":"W4390692445","doi":"10.2139/ssrn.4690885","title":"Public Information and Real Estate Market Efficiency","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Real estate; Business; Financial economics; Industrial organization; Finance; Economics","score_opus":0.01708664159816769,"score_gpt":0.20351282254710362,"score_spread":0.18642618094893593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390692445","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3645661,0.0039911065,0.003410642,0.0026133428,0.0024758712,0.00026909896,0.0001008206,0.00011393952,0.62245905],"genre_scores_gemma":[0.77078724,0.2273734,0.00012305274,0.000054060067,0.0003462087,0.00001130288,0.000033122084,0.000043356056,0.0012282414],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967545,0.000027598642,0.0010014636,0.00036359325,0.000049029124,0.0018037856],"domain_scores_gemma":[0.99881333,0.00003469308,0.0006858512,0.00028383874,0.00004638541,0.00013589433],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0044752974,0.0002898718,0.00047347936,0.00069143396,0.00018873575,0.001097966,0.00037371242,0.0002958747,0.00012696924],"category_scores_gemma":[0.00011516382,0.00033079236,0.00018705516,0.00014849084,0.00006418193,0.00048018084,0.00050895667,0.003386172,0.00037972946],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049221057,0.000046462832,0.0064431652,0.00023458744,0.00037369848,0.000004703037,0.00094098045,0.0001207572,4.7297726e-7,0.693362,0.001547489,0.29687646],"study_design_scores_gemma":[0.00032105084,0.00008289159,0.00073643256,0.000037406666,0.000022309321,0.00016654981,0.0003280179,0.011112071,4.206611e-7,0.94453853,0.042218976,0.00043532025],"about_ca_topic_score_codex":0.00048130483,"about_ca_topic_score_gemma":0.00055412867,"teacher_disagreement_score":0.62123084,"about_ca_system_score_codex":0.0015676456,"about_ca_system_score_gemma":0.0015145431,"threshold_uncertainty_score":0.99993896},"labels":[],"label_agreement":null},{"id":"W4390728722","doi":"10.2139/ssrn.4687550","title":"Refinancing Frictions, Mortgage Pricing and Redistribution","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Redistribution (election); Shared appreciation mortgage; Mortgage underwriting; Economics; Business; Monetary economics; Secondary mortgage market; Mortgage insurance; Financial system; Finance; Political science","score_opus":0.010874421080498926,"score_gpt":0.204745215102083,"score_spread":0.19387079402158405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390728722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75042355,0.04988932,0.1347711,0.00199665,0.001982228,0.0001397858,0.000029914978,0.00018754057,0.06057993],"genre_scores_gemma":[0.97710264,0.021657016,0.00012077685,0.00003059424,0.00038606534,0.0000028776522,0.0000064135465,0.000024356848,0.00066923583],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982468,0.000011364137,0.0004244618,0.00025584133,0.000021615067,0.0010399427],"domain_scores_gemma":[0.999668,0.000030879768,0.00012540357,0.00010718437,0.000012721142,0.0000558335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022272097,0.000112766225,0.00019099121,0.00021835572,0.00028143488,0.00024380162,0.000088668254,0.000078181045,0.000029346587],"category_scores_gemma":[0.00007023268,0.00012831729,0.00007933909,0.00018682062,0.000023962482,0.0003842041,0.000029272951,0.0010234403,0.000110879366],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000068723916,0.000010339333,0.004381327,0.000019291521,0.00006146212,0.0000050002727,0.00013556716,0.000017867062,0.000026494421,0.9751339,0.00023635442,0.019965516],"study_design_scores_gemma":[0.0002484664,0.00010133287,0.0019068824,0.000059396258,0.00001754728,0.0005975772,0.0004043575,0.008771749,0.000017024417,0.9358048,0.0518051,0.0002658],"about_ca_topic_score_codex":0.00007376348,"about_ca_topic_score_gemma":0.00010796221,"teacher_disagreement_score":0.22667913,"about_ca_system_score_codex":0.0011645386,"about_ca_system_score_gemma":0.00025812685,"threshold_uncertainty_score":0.52326274},"labels":[],"label_agreement":null},{"id":"W4390818878","doi":"10.1016/j.jmoneco.2024.01.004","title":"Mortgage interest deductions? Not a bad idea after all","year":2024,"lang":"en","type":"article","venue":"Journal of Monetary Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Economic rent; Economics; Subsidy; Renting; Rental housing; Welfare; Labour economics; Shared appreciation mortgage; General equilibrium theory; Interest rate; Public economics; Microeconomics; Monetary economics; Mortgage insurance; Finance; Market economy","score_opus":0.04754192504744398,"score_gpt":0.22747369918963667,"score_spread":0.1799317741421927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390818878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9767788,0.0041022007,0.0007240577,0.0028890425,0.0046313275,0.00009644501,0.000105271014,0.000036324953,0.01063651],"genre_scores_gemma":[0.9900243,0.005374775,0.0020320101,0.0007103632,0.0011207719,0.000005699501,0.000009598417,0.000067077344,0.00065536477],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976571,0.00001605163,0.0015882469,0.00036877784,0.000020005395,0.0003497689],"domain_scores_gemma":[0.99878913,0.00009859525,0.0005464078,0.00033569965,0.000028333181,0.00020181388],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010929046,0.00024750267,0.0006465272,0.000633916,0.00004622485,0.00035443978,0.00034425347,0.00015434956,0.0008114733],"category_scores_gemma":[0.000051180315,0.00028475845,0.00047991434,0.000105992964,0.00007491638,0.0010909901,0.00008056178,0.00049447216,0.0010081556],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0038049202,0.0017591787,0.21848653,0.0012306657,0.010630097,0.002764981,0.011578584,0.047636956,0.00035349844,0.3514396,0.117975,0.23234],"study_design_scores_gemma":[0.0010810518,0.00036074052,0.023267092,0.00016844129,0.00013879548,0.0010002821,0.0001863928,0.042459343,0.0001693522,0.08321803,0.84689385,0.0010566005],"about_ca_topic_score_codex":0.000056618817,"about_ca_topic_score_gemma":0.00008818292,"teacher_disagreement_score":0.72891885,"about_ca_system_score_codex":0.00033801244,"about_ca_system_score_gemma":0.000073604075,"threshold_uncertainty_score":0.9999605},"labels":[],"label_agreement":null},{"id":"W4391024403","doi":"10.1080/10511482.2023.2299247","title":"The Relationship Between Exits From Federally Subsidized Housing and Wages, King County, WA","year":2024,"lang":"en","type":"article","venue":"Housing Policy Debate","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"U.S. Department of Housing and Urban Development","keywords":"Wage; Quarter (Canadian coin); Subsidy; Demographic economics; Subsidized housing; Economics; Labour economics; Public housing; Economic growth","score_opus":0.07313494515797796,"score_gpt":0.2729910035192527,"score_spread":0.19985605836127474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391024403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9652858,0.003650586,0.0013585255,0.0043559275,0.0007200557,0.0001868583,0.00015744836,0.00031013816,0.023974713],"genre_scores_gemma":[0.99630064,0.0009905637,0.0006160033,0.00030429976,0.0012064168,0.000008827959,0.000036080135,0.000110673056,0.00042647877],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99800295,0.0000499872,0.0007375561,0.0005705897,0.000054004082,0.000584926],"domain_scores_gemma":[0.9979526,0.001273581,0.00023050533,0.00038801593,0.000019479998,0.00013585936],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0010343995,0.00027488975,0.00042363815,0.0003239741,0.0010519939,0.0019227513,0.00024193559,0.00018625557,0.000019372756],"category_scores_gemma":[0.00046739329,0.00027273508,0.00012249523,0.0003619052,0.00015573476,0.00043972002,0.0001450675,0.00035855008,0.00022384989],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042882697,0.000018221795,0.790408,0.00010881464,0.00020074841,0.000031422114,0.0021377788,0.00012415189,0.00004185038,0.17403162,0.0012611726,0.031593356],"study_design_scores_gemma":[0.0009793168,0.000038914317,0.37450007,0.00043036835,0.000063301595,0.000016387996,0.0001252405,0.011552167,0.000083963045,0.44191808,0.16917956,0.0011126318],"about_ca_topic_score_codex":0.00466831,"about_ca_topic_score_gemma":0.0007979659,"teacher_disagreement_score":0.41590792,"about_ca_system_score_codex":0.00031558427,"about_ca_system_score_gemma":0.000106028754,"threshold_uncertainty_score":0.99997246},"labels":[],"label_agreement":null},{"id":"W4391033189","doi":"10.1111/jors.12681","title":"Climate risk and commercial mortgage delinquency","year":2024,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Universiteit Maastricht; Real Estate Research Institute; Johns Hopkins University","keywords":"Underwriting; Real estate; Flood myth; Collateral; Natural disaster; Juvenile delinquency; Business; Actuarial science; Finance; Economics; Geography","score_opus":0.03802844020363478,"score_gpt":0.25470224585574663,"score_spread":0.21667380565211186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391033189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9768773,0.0029228213,0.001432394,0.0014417601,0.0010536835,0.000031677224,0.000015523263,0.000011089471,0.01621375],"genre_scores_gemma":[0.9898358,0.008134696,0.0015332482,0.0001541142,0.00029597335,3.8070394e-7,2.606234e-7,0.0000073102865,0.000038210892],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.999095,0.000007908563,0.00045176252,0.00017867946,0.000057269113,0.00020933482],"domain_scores_gemma":[0.99939716,0.00007149602,0.0002768447,0.00008825175,0.000044035954,0.00012219595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024602532,0.00007071705,0.00018918818,0.00031248858,0.00019249819,0.0002321031,0.00023526457,0.0000340277,0.00005626998],"category_scores_gemma":[0.00011983272,0.00006625023,0.0000796614,0.00027984666,0.00031078403,0.00067347114,0.000054479235,0.00021184674,0.00006335498],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008339678,0.00009309606,0.2848412,0.000086356245,0.000053980035,0.00013116893,0.0017310253,0.00033188536,0.0001824767,0.49623936,0.008263081,0.20796295],"study_design_scores_gemma":[0.0007828143,0.00037604492,0.30593494,0.00027516732,0.00003813538,0.0010649392,0.00024734132,0.041783385,0.00006575128,0.22779034,0.42097664,0.00066449365],"about_ca_topic_score_codex":0.000030825606,"about_ca_topic_score_gemma":0.000008654098,"teacher_disagreement_score":0.41271356,"about_ca_system_score_codex":0.000089876456,"about_ca_system_score_gemma":0.00008311027,"threshold_uncertainty_score":0.27016062},"labels":[],"label_agreement":null},{"id":"W4391176274","doi":"10.3917/reco.745.0681","title":"Credit Market Imperfections, Urban Land Rents and the Henry George Theorem","year":2024,"lang":"fr","type":"article","venue":"Revue économique","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"George (robot); Economic rent; Economics; Political science; Humanities; Economy; Philosophy; Art; Market economy","score_opus":0.015936579240682584,"score_gpt":0.19396489437582387,"score_spread":0.17802831513514128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391176274","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36425135,0.1719019,0.0013378444,0.038586095,0.021450128,0.0011331027,0.0008019097,0.00021891677,0.40031877],"genre_scores_gemma":[0.725755,0.12956418,0.00040349303,0.0008757461,0.005508919,0.00013649168,0.000044379747,0.00018370009,0.13752812],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99741435,0.0001556066,0.0009703131,0.00084949564,0.000013277037,0.00059698586],"domain_scores_gemma":[0.99798864,0.0009073349,0.00027368622,0.0006393854,0.000022253345,0.00016867057],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0027889218,0.00038538195,0.00080606685,0.00027632367,0.0003104306,0.00088396174,0.00032340313,0.00041826055,0.002101492],"category_scores_gemma":[0.0002358539,0.00040533798,0.00036302098,0.00021906279,0.0005443577,0.0005588258,0.00020768707,0.0006219583,0.0009113858],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018431815,0.000066733286,0.05619478,0.0007945212,0.0004309829,0.000035976627,0.00090855424,0.00007812817,9.0929456e-7,0.8271005,0.07958236,0.03462223],"study_design_scores_gemma":[0.0009554565,0.000050562365,0.004360205,0.00036005236,0.00007623826,0.00016780836,0.000060637558,0.075204164,0.0000039142888,0.097155444,0.82112646,0.00047907236],"about_ca_topic_score_codex":0.0009998553,"about_ca_topic_score_gemma":0.00035851696,"teacher_disagreement_score":0.74154407,"about_ca_system_score_codex":0.0004179249,"about_ca_system_score_gemma":0.00008928368,"threshold_uncertainty_score":0.99986655},"labels":[],"label_agreement":null},{"id":"W4391261594","doi":"10.54097/ypn3g158","title":"Real Estate Market Transformations: Insights and Implications for Canadian Investors and Consumers amid U.S. Interest Rate Adjustments","year":2024,"lang":"en","type":"article","venue":"Highlights in Business Economics and Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Real estate; Interest rate; Liberian dollar; Real estate investment trust; Business; Monetary economics; Margin (machine learning); Economics; Revenue; Capitalization rate; Market rate; Cost approach; Finance; Financial economics; Market price","score_opus":0.027750482784036,"score_gpt":0.21761216304376924,"score_spread":0.18986168025973324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391261594","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8437177,0.002006319,0.0005559689,0.022398228,0.0012433481,0.0016036376,0.0004992053,0.000073993346,0.12790158],"genre_scores_gemma":[0.4780476,0.5202804,0.00075041474,0.00019857589,0.0000333119,0.00020327498,0.00008128845,0.00003825946,0.00036683242],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99856853,0.000010468231,0.0005707151,0.00053169247,0.0000064169017,0.00031217697],"domain_scores_gemma":[0.9994531,0.000065285894,0.000099232515,0.00019086665,0.000016705262,0.00017479989],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036121908,0.00021882339,0.00032863175,0.00080098346,0.00020268881,0.00039681105,0.00010549161,0.00008989293,0.000017038568],"category_scores_gemma":[0.0000074300133,0.00025077126,0.00003244183,0.00015816394,0.00011780188,0.0005474699,0.000058889313,0.00005442841,0.0000108629165],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019500156,0.000017619508,0.0013983845,0.00037776714,0.000095706695,0.0000032738915,0.00054049393,0.000044168173,0.0000010300287,0.9796952,0.0007949244,0.01701195],"study_design_scores_gemma":[0.00072061364,0.000018413906,0.13809039,0.00006930739,0.000030385985,0.0000053230224,0.00011235398,0.012151169,0.0000022390095,0.028553786,0.8198727,0.00037333093],"about_ca_topic_score_codex":0.007960322,"about_ca_topic_score_gemma":0.05867919,"teacher_disagreement_score":0.9511414,"about_ca_system_score_codex":0.00024683966,"about_ca_system_score_gemma":0.00004180383,"threshold_uncertainty_score":0.99999446},"labels":[],"label_agreement":null},{"id":"W4391277403","doi":"10.1080/15427560.2024.2305412","title":"Behavioral Biases of Financial Planners: The Case of Retirement Funding Recommendations","year":2024,"lang":"en","type":"article","venue":"Journal of Behavioral Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Behavioral economics; Actuarial science; Finance; Economics; Business; Psychology","score_opus":0.15078580410855752,"score_gpt":0.33677682481311916,"score_spread":0.18599102070456164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391277403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99455,0.0017433247,0.00027826542,0.00048687178,0.0017874144,0.00010873988,0.00026637144,0.000008459257,0.00077054463],"genre_scores_gemma":[0.9975823,0.00092838553,0.0011140403,0.000020003195,0.0001772403,0.000004660462,0.000006041584,0.00002142435,0.00014589092],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99812573,0.000024018187,0.0014024092,0.00018115177,0.00004405249,0.0002226193],"domain_scores_gemma":[0.9985006,0.00010901693,0.0010211511,0.00024116936,0.00008139405,0.00004666312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009971972,0.00014612,0.0004908154,0.00030993903,0.000102340535,0.00006445301,0.00026984548,0.00009421249,0.00018368269],"category_scores_gemma":[0.000061110615,0.0001326687,0.00030279727,0.00031189344,0.00011993436,0.00040321753,0.000057643752,0.00029605575,0.000012998652],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008370171,0.0041406713,0.136493,0.00074066926,0.00028299415,0.0048202216,0.018950315,0.002818745,0.002114268,0.18527767,0.07444567,0.56907874],"study_design_scores_gemma":[0.010844405,0.017136991,0.08626231,0.011575997,0.002276348,0.01328276,0.013771343,0.024333632,0.023165472,0.07019791,0.72120774,0.005945103],"about_ca_topic_score_codex":0.00036451712,"about_ca_topic_score_gemma":0.00014823567,"teacher_disagreement_score":0.6467621,"about_ca_system_score_codex":0.00014126481,"about_ca_system_score_gemma":0.00010200152,"threshold_uncertainty_score":0.5410073},"labels":[],"label_agreement":null},{"id":"W4391648571","doi":"10.2139/ssrn.4699361","title":"Equilibrium Multiplicity: A Systematic Approach using Homotopies, with an Application to Chicago","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Population; Homotopy; Elasticity (physics); Economy; Mathematical economics; Mathematics; Multiplicity (mathematics); Mathematical optimization; Economics; Pure mathematics; Mathematical analysis","score_opus":0.017755425268999557,"score_gpt":0.2218579165887982,"score_spread":0.20410249131979863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391648571","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43078464,0.0025716505,0.55977464,0.0002384786,0.0002127815,0.00063213834,0.000010449647,0.0001095191,0.0056656953],"genre_scores_gemma":[0.9957912,0.00027242026,0.0030456255,0.00006641373,0.00036186248,0.000044114156,0.000008176178,0.00006890066,0.00034129314],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99757814,0.000036646143,0.0005833244,0.00044446532,0.00004884717,0.001308567],"domain_scores_gemma":[0.9992542,0.00003356247,0.00020185091,0.00034031403,0.00002568933,0.0001443283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027225923,0.00019839688,0.00043449298,0.0003502078,0.00013330353,0.00041998443,0.00031473624,0.00009213378,0.000010382286],"category_scores_gemma":[0.00003422675,0.00018956703,0.00009927928,0.00034007835,0.000026259577,0.00047679702,0.000040674295,0.0007647771,0.00013874721],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013605095,0.00025063605,0.004108513,0.0027107685,0.0006437263,0.000006879453,0.0018363858,0.008565375,0.00029819022,0.97342694,0.00002794238,0.007988616],"study_design_scores_gemma":[0.0006220224,0.0005303813,0.00016951872,0.0005305498,0.000088886445,0.0012341446,0.0014443854,0.7783735,0.000022442975,0.21462204,0.0015483762,0.00081378163],"about_ca_topic_score_codex":0.00016400505,"about_ca_topic_score_gemma":0.00021156497,"teacher_disagreement_score":0.7698081,"about_ca_system_score_codex":0.0012456042,"about_ca_system_score_gemma":0.0004250866,"threshold_uncertainty_score":0.7730319},"labels":[],"label_agreement":null},{"id":"W4391781907","doi":"10.1016/j.jue.2024.103631","title":"The effects of residential landlord–tenant laws: New evidence from Canadian reforms using census data","year":2024,"lang":"en","type":"article","venue":"Journal of Urban Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Landlord; Census; Business; Law; Economics; Labour economics; Demographic economics; Political science; Sociology; Demography; Population","score_opus":0.05382603427472478,"score_gpt":0.2420505900166776,"score_spread":0.18822455574195285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391781907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95953083,0.02578517,0.0004851795,0.0020482987,0.009089125,0.00018781834,0.00044999484,0.000015005337,0.0024085704],"genre_scores_gemma":[0.9734027,0.021549195,0.0018461553,0.00011447168,0.002364008,8.077435e-7,0.000024205068,0.00007287969,0.00062562403],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99782306,0.0000234027,0.0013920689,0.00033406093,0.000033374406,0.00039401167],"domain_scores_gemma":[0.99744487,0.0005846105,0.00088830333,0.0007465743,0.000039051392,0.00029656995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014409244,0.00018779316,0.0005709069,0.00032406155,0.00015375577,0.0004332192,0.0010950513,0.00013721031,0.00004703789],"category_scores_gemma":[0.00056683854,0.00014210277,0.00018785449,0.00012982168,0.00008405627,0.0011203125,0.00016704886,0.0003266177,0.00005429564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019781326,0.0002580845,0.30245215,0.0013942971,0.006628235,0.0009213511,0.008525568,0.006759151,0.0006181934,0.08978121,0.38530838,0.19537526],"study_design_scores_gemma":[0.001772224,0.0004557487,0.015377952,0.0017396573,0.0003070179,0.00019667656,0.00032452252,0.07887111,0.00052838586,0.07247952,0.8268805,0.0010666853],"about_ca_topic_score_codex":0.05889781,"about_ca_topic_score_gemma":0.052014522,"teacher_disagreement_score":0.44157213,"about_ca_system_score_codex":0.00067436986,"about_ca_system_score_gemma":0.0007714541,"threshold_uncertainty_score":0.96528375},"labels":[],"label_agreement":null},{"id":"W4391790330","doi":"10.2139/ssrn.4687702","title":"The Effects of Residential Landlord-Tenant Laws: New Evidence from Canadian Reforms using Census Data","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Landlord; Leasehold estate; Stylized fact; Renting; Damages; Economics; Labour economics; Census; Transaction cost; Demographic economics; Business; Law; Microeconomics; Population","score_opus":0.03384635275193431,"score_gpt":0.2459572322447703,"score_spread":0.212110879492836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391790330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84098,0.13990766,0.004652676,0.0041399323,0.006467433,0.0003200286,0.00021919579,0.000051009472,0.0032620498],"genre_scores_gemma":[0.9420836,0.055678662,0.00016653724,0.00003326344,0.0009868043,9.134541e-7,0.0000200031,0.000040377145,0.0009898361],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975338,0.000028302036,0.0005838695,0.00034068956,0.00005042416,0.0014629285],"domain_scores_gemma":[0.99875826,0.00026222327,0.00023803521,0.0005518188,0.000019707113,0.00016992967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024036514,0.00014673115,0.00028255134,0.00019196294,0.00030983303,0.00035771696,0.00084829936,0.00009550424,0.000028238434],"category_scores_gemma":[0.00042275048,0.000103384285,0.00009998482,0.0001918502,0.00004969836,0.0005825174,0.000115736955,0.0008896175,0.00007106641],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005774928,0.000078543904,0.049826045,0.0003105043,0.0034790358,0.0002321083,0.0021526814,0.0004487421,0.0006052892,0.55692554,0.015662739,0.36970127],"study_design_scores_gemma":[0.0007983778,0.00028376703,0.0028599566,0.0007160248,0.00013973727,0.00024492518,0.00044588905,0.019752815,0.00012980435,0.86390907,0.11010648,0.0006131546],"about_ca_topic_score_codex":0.2530042,"about_ca_topic_score_gemma":0.499173,"teacher_disagreement_score":0.3690881,"about_ca_system_score_codex":0.001494084,"about_ca_system_score_gemma":0.0029088424,"threshold_uncertainty_score":0.7519701},"labels":[],"label_agreement":null},{"id":"W4392174383","doi":"10.1007/978-981-97-0523-8_174","title":"Analysis of Influencing Factors of Housing Affordability Crisis in Vancouver","year":2024,"lang":"en","type":"book-chapter","venue":"Applied economics and policy studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business","score_opus":0.040035046512694496,"score_gpt":0.25267248474341136,"score_spread":0.21263743823071687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392174383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5580957,0.0026236258,0.0000048734337,0.00008268694,0.00026278835,0.00020677777,0.00064321863,0.00001666392,0.43806368],"genre_scores_gemma":[0.97427624,0.02256875,0.00008920233,0.00007773639,0.000095328585,0.000009460724,0.000020962383,0.00007134118,0.0027909614],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99723274,0.00000316603,0.0017488915,0.0006890573,0.000021088308,0.0003050508],"domain_scores_gemma":[0.99817425,0.00020531188,0.0010587099,0.00046503206,0.000030527906,0.00006617383],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00058069825,0.00043091262,0.002425136,0.002131926,0.000057327907,0.000034486784,0.00018327401,0.0003037647,0.00004706978],"category_scores_gemma":[0.000034949408,0.00050410023,0.0004158213,0.0002137837,0.00024745893,0.00009340568,0.00029236532,0.00023374609,0.000011644719],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003130289,0.000023993174,0.0181646,0.0005040245,0.0046245866,5.0848496e-7,0.0048903013,0.003705118,0.0000010704869,0.9665315,0.00020102874,0.0013219231],"study_design_scores_gemma":[0.00057228754,0.000073123396,0.0073993313,0.00013839245,0.0011872598,3.0606392e-7,0.0034239937,0.0013866301,0.000057104146,0.94752604,0.03690514,0.0013304155],"about_ca_topic_score_codex":0.0014884291,"about_ca_topic_score_gemma":0.009417302,"teacher_disagreement_score":0.43527272,"about_ca_system_score_codex":0.00042989518,"about_ca_system_score_gemma":0.00005835432,"threshold_uncertainty_score":0.9997411},"labels":[],"label_agreement":null},{"id":"W4392288917","doi":"10.1080/00036846.2024.2314567","title":"Homeownership, Labour Market Transitions and Earnings","year":2024,"lang":"en","type":"article","venue":"Applied Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Agence Nationale de la Recherche","keywords":"Endogeneity; Earnings; Economics; Unemployment; Labour economics; Sample (material); Estimation; Population; Demographic economics; Econometrics; Macroeconomics; Finance","score_opus":0.014823187489417033,"score_gpt":0.18344588936794343,"score_spread":0.1686227018785264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392288917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.589582,0.0005162393,0.0011317356,0.0013702287,0.00054253056,0.00016311249,0.00015732962,0.00018831239,0.4063485],"genre_scores_gemma":[0.99313563,0.002093168,0.0010058013,0.0004266028,0.00026380102,0.000042229924,0.000027747155,0.00007698609,0.0029280516],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99841434,0.000006133375,0.0005441957,0.0006354718,0.000010336496,0.00038950227],"domain_scores_gemma":[0.99937457,0.00008493397,0.000106378124,0.000279641,0.000005817617,0.0001486412],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006171733,0.00022667515,0.00040757898,0.00028879856,0.00014825694,0.00039214548,0.00016738812,0.00016726632,0.0016137769],"category_scores_gemma":[0.000012106642,0.00029476825,0.00010775515,0.00013770044,0.000103508406,0.0003046242,0.000056551544,0.00024498184,0.0014351895],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028524842,0.000027348122,0.0024063971,0.00011923142,0.000114164926,0.0000044373282,0.0010286786,0.00022480122,0.000012165221,0.98205596,0.0030259455,0.010952322],"study_design_scores_gemma":[0.0006320283,0.000039805087,0.017240152,0.000025397338,0.000023888682,0.0000394277,0.0004330776,0.014535854,0.00004007413,0.1925049,0.7735936,0.0008918206],"about_ca_topic_score_codex":0.000043484026,"about_ca_topic_score_gemma":0.000034075943,"teacher_disagreement_score":0.7895511,"about_ca_system_score_codex":0.00013215083,"about_ca_system_score_gemma":0.000030417377,"threshold_uncertainty_score":0.99995047},"labels":[],"label_agreement":null},{"id":"W4392663859","doi":"10.1007/s12197-024-09667-w","title":"Oil Price Dynamics and Housing Demand in Oil Producing Counties in the U.S.","year":2024,"lang":"en","type":"article","venue":"Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Economics; Investment (military); Shock (circulatory); Oil price; Monetary economics; Agricultural economics; Demand shock; Short run; Point (geometry)","score_opus":0.015315001022167858,"score_gpt":0.19552230474676854,"score_spread":0.1802073037246007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392663859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97362125,0.013885773,0.000059279733,0.0022517785,0.0005546029,0.000023452332,0.000016566759,0.0000038038172,0.009583487],"genre_scores_gemma":[0.8718873,0.12713762,0.00041606548,0.00013838823,0.00016711351,0.0000028831446,0.000001042966,0.000019901929,0.00022967508],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99852496,0.000016849004,0.0008998577,0.00029597804,0.000014708598,0.00024762447],"domain_scores_gemma":[0.99906003,0.0001415062,0.0006006281,0.00015596714,0.000014948078,0.00002689286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023773792,0.00015168164,0.0004525871,0.0003701639,0.000069157126,0.00038085593,0.00018850742,0.000093309594,0.0000044971093],"category_scores_gemma":[0.00009361243,0.00014498978,0.000061904815,0.0001691138,0.00008579741,0.00058498845,0.000050268565,0.0003405577,0.0000048434304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014896216,0.00015689198,0.14455417,0.0006414128,0.00008507734,0.00014937618,0.010178228,0.009567045,0.000005504756,0.55147296,0.0003921425,0.2826482],"study_design_scores_gemma":[0.0018737441,0.00020195809,0.07933084,0.0008147113,0.000025046204,0.0005208468,0.0014276234,0.66789895,0.000008187544,0.10293998,0.14404476,0.00091338094],"about_ca_topic_score_codex":0.00012913723,"about_ca_topic_score_gemma":0.0006367753,"teacher_disagreement_score":0.6583319,"about_ca_system_score_codex":0.00019768276,"about_ca_system_score_gemma":0.00006444841,"threshold_uncertainty_score":0.5912512},"labels":[],"label_agreement":null},{"id":"W4392714516","doi":"10.58567/eal03020007","title":"Post-Pandemic Rental Housing Affordability Economics in the U.S., U.K., &amp; Canada","year":2024,"lang":"en","type":"article","venue":"Economic Analysis Letters","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; University of Regina","funders":"","keywords":"Renting; Rental housing; Pandemic; Economics; Coronavirus disease 2019 (COVID-19); Public economics; Political science; Medicine","score_opus":0.017127166982201656,"score_gpt":0.20630607783887644,"score_spread":0.1891789108566748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392714516","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9792422,0.00045801658,0.000635177,0.0068662204,0.001084087,0.0001930175,0.00031622287,0.00006274521,0.01114228],"genre_scores_gemma":[0.9954582,0.00029509084,0.00017272022,0.0033783927,0.000302998,0.000025992676,0.00017664584,0.000045197747,0.00014475318],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971667,0.00006170048,0.0012380404,0.000910187,0.000030623756,0.0005927466],"domain_scores_gemma":[0.9985368,0.00030020784,0.00026933273,0.0007876515,0.0000070569117,0.00009891706],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018191197,0.00032608665,0.0007739176,0.0007145125,0.0001632921,0.0004819661,0.000644309,0.000111996684,0.00082837074],"category_scores_gemma":[0.000043167784,0.0003413574,0.00051539676,0.00044847908,0.00011492045,0.00047035728,0.0000861604,0.00038526955,0.00057694595],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004512979,0.00006017333,0.8844155,0.00006310881,0.0016243955,0.000029503142,0.0016848067,0.08206635,0.000025560512,0.01756161,0.008452745,0.0039711073],"study_design_scores_gemma":[0.0012760103,0.000048214188,0.25702167,0.000047110625,0.000750659,0.000058053018,0.0015655403,0.2424343,0.0000205028,0.011286768,0.48246366,0.0030275334],"about_ca_topic_score_codex":0.38917428,"about_ca_topic_score_gemma":0.87424684,"teacher_disagreement_score":0.62739384,"about_ca_system_score_codex":0.002370896,"about_ca_system_score_gemma":0.0002680221,"threshold_uncertainty_score":0.99990386},"labels":[],"label_agreement":null},{"id":"W4392772581","doi":"10.1111/risa.14285","title":"Influence of a private–public risk pool and an opt‐out framing on earthquake protection demand for Canadian homeowners in Quebec and British Columbia","year":2024,"lang":"en","type":"article","venue":"Risk Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University; Canadian Chiropractic Association; Advantage Forensics (Canada); Scanimetrics (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Purchasing; Odds; Actuarial science; Business; Framing (construction); Private sector; Public economics; Economics; Geography; Economic growth; Marketing; Logistic regression","score_opus":0.011494894591356102,"score_gpt":0.20264121351714084,"score_spread":0.19114631892578474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392772581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99741334,0.0005118004,0.0010761007,0.0000680337,0.000039737246,0.0002785442,0.00035866955,0.000018697265,0.00023506254],"genre_scores_gemma":[0.99766505,0.0017951939,0.00023110995,0.000019526871,0.000030510155,0.000039559218,0.000021154287,0.000018775812,0.00017914792],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99878794,0.000033573255,0.00044060085,0.00045970682,0.000021623622,0.00025656068],"domain_scores_gemma":[0.9993813,0.00006995201,0.00019109763,0.00018267427,0.000022970919,0.00015199558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009211912,0.00009737968,0.00040988383,0.00072605506,0.00018233317,0.0007303533,0.000078609635,0.00012659167,0.00003152142],"category_scores_gemma":[0.00023004778,0.00015519343,0.00009339831,0.00059107615,0.0000646233,0.00038377813,0.000018184217,0.00015888808,0.0000050137],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008148485,0.000019510544,0.9107731,0.000059855465,0.0002961541,0.0000030367214,0.00063421036,0.006004021,0.0000013513608,0.00034657386,0.000021440874,0.081832625],"study_design_scores_gemma":[0.0002587996,0.000063893625,0.84915936,0.000032591026,0.0001242221,9.291005e-7,0.00010352987,0.14349608,0.0000022646193,0.0032143306,0.0033337702,0.00021025028],"about_ca_topic_score_codex":0.9391289,"about_ca_topic_score_gemma":0.9954514,"teacher_disagreement_score":0.13749206,"about_ca_system_score_codex":0.00015639838,"about_ca_system_score_gemma":0.00006018776,"threshold_uncertainty_score":0.7042814},"labels":[],"label_agreement":null},{"id":"W4392868290","doi":"10.2139/ssrn.4758733","title":"Understanding the Unequal Costs of Native American Homeownership","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Economics","score_opus":0.057895703544591566,"score_gpt":0.24341088340275857,"score_spread":0.185515179858167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392868290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56463385,0.014320105,0.19985737,0.007230391,0.0020976984,0.00030207325,0.00005668904,0.00010810952,0.21139373],"genre_scores_gemma":[0.99316543,0.0058117304,0.000022530747,0.000056568297,0.00022126842,0.0000021269045,0.0000017540017,0.000027824233,0.0006907608],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99825174,0.000034938785,0.00043649692,0.00019230532,0.000038731916,0.0010457762],"domain_scores_gemma":[0.99934363,0.00018272486,0.0002760576,0.00013648978,0.000015376783,0.00004570498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028422165,0.000118537384,0.000265833,0.00024193169,0.0001584791,0.00013677945,0.00026399933,0.000040870695,0.000052610772],"category_scores_gemma":[0.000078054654,0.000098337776,0.00015834837,0.00036109742,0.00016540248,0.0001915458,0.000029699078,0.0010213773,0.000072437615],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021246055,0.000012976468,0.0021069585,0.000006007532,0.00018637393,0.0000015746373,0.0006481765,0.00014605453,0.0000035627584,0.9832117,0.00012132442,0.013534041],"study_design_scores_gemma":[0.00022279134,0.00021839696,0.00021233114,0.0000321342,0.000015664293,0.00005451666,0.007912769,0.005970506,0.000010701659,0.98010737,0.0050479556,0.00019484675],"about_ca_topic_score_codex":0.00015201997,"about_ca_topic_score_gemma":0.00054749585,"teacher_disagreement_score":0.4285316,"about_ca_system_score_codex":0.0026816982,"about_ca_system_score_gemma":0.000451422,"threshold_uncertainty_score":0.7012547},"labels":[],"label_agreement":null},{"id":"W4392874487","doi":"10.69554/bich7347","title":"Reshaping the corporate landscape: Navigating changes in real estate strategies","year":2024,"lang":"en","type":"article","venue":"Corporate real estate journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Workplace Health, Safety and Compensation Commission","funders":"","keywords":"Real estate; Business; Economic geography; Geography; Finance","score_opus":0.08569370419371757,"score_gpt":0.2656238037885213,"score_spread":0.17993009959480372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392874487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8317386,0.00041649464,0.00021498806,0.0016389368,0.0014962744,0.00018108748,0.00006806654,0.00011505851,0.16413052],"genre_scores_gemma":[0.8592655,0.13918498,0.00037487908,0.00008334221,0.00064327987,0.000017797202,0.000040198418,0.00009569623,0.00029430864],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974837,0.000096969314,0.0011202013,0.0005001046,0.00008101968,0.0007180425],"domain_scores_gemma":[0.99792,0.00018173768,0.0013403146,0.00030611103,0.00006287192,0.00018900156],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0030177534,0.00033683702,0.00055552664,0.00033511827,0.00037355727,0.0017684095,0.00041511166,0.00014831922,0.00015599397],"category_scores_gemma":[0.000047886464,0.000294929,0.00014280988,0.00067268225,0.00018785003,0.00087586505,0.00010381909,0.0011814598,0.00026835946],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040950664,0.00016279532,0.119897775,0.00059264223,0.0003810463,0.00387835,0.023027085,0.018996617,0.0006905337,0.058019757,0.005307149,0.76863676],"study_design_scores_gemma":[0.0039210226,0.0008641984,0.054143526,0.002357123,0.00012059393,0.002382273,0.023212045,0.38023347,0.00029370302,0.4383382,0.09039278,0.0037410741],"about_ca_topic_score_codex":0.0012719188,"about_ca_topic_score_gemma":0.002776514,"teacher_disagreement_score":0.7648957,"about_ca_system_score_codex":0.00026961172,"about_ca_system_score_gemma":0.00028209283,"threshold_uncertainty_score":0.9999503},"labels":[],"label_agreement":null},{"id":"W4392902019","doi":"10.32920/25417417","title":"The Impacts of Inclusionary Zoning on Housing Supply: Comparing Inclusionary Zoning Programs in North America","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Zoning; Affordable housing; Incentive; Demographics; Business; Economics; Economic growth; Political science; Market economy; Sociology","score_opus":0.03727480629853918,"score_gpt":0.23765728325298344,"score_spread":0.20038247695444425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392902019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92737764,0.0025886737,0.00010335834,0.00086002843,0.0016127013,0.0006529988,0.000068878886,0.00013970523,0.06659602],"genre_scores_gemma":[0.99496216,0.002442966,0.001563463,0.00018036063,0.00025647314,0.000059189788,0.00022032385,0.00013097988,0.00018409533],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961044,0.00005969262,0.0018845195,0.0010393219,0.000113571536,0.0007984813],"domain_scores_gemma":[0.99751085,0.00036745192,0.0010235949,0.00090262434,0.00004192311,0.00015355658],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013977184,0.0005607336,0.0012719324,0.00080988224,0.0005039149,0.00037124776,0.00090383703,0.00034330686,0.00009253429],"category_scores_gemma":[0.00015587559,0.0005261529,0.00037529564,0.0006137566,0.00021739249,0.0001449751,0.0068283537,0.0016332815,0.00019837552],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034209213,0.0005497936,0.83439076,0.0009445538,0.0003270422,0.00009474427,0.0075563067,0.050326236,0.000011068382,0.012727542,0.00088310114,0.09184674],"study_design_scores_gemma":[0.0019734849,0.0006355377,0.1534292,0.0052216332,0.00009340546,0.000026748101,0.003155356,0.637066,0.000054861062,0.1420765,0.05240406,0.0038631961],"about_ca_topic_score_codex":0.004238756,"about_ca_topic_score_gemma":0.006009696,"teacher_disagreement_score":0.68096155,"about_ca_system_score_codex":0.0008093513,"about_ca_system_score_gemma":0.00022723005,"threshold_uncertainty_score":0.999719},"labels":[],"label_agreement":null},{"id":"W4392902053","doi":"10.32920/25417417.v1","title":"The Impacts of Inclusionary Zoning on Housing Supply: Comparing Inclusionary Zoning Programs in North America","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Zoning; Incentive; Affordable housing; Business; Demographics; Economic growth; Economics; Political science; Market economy; Sociology","score_opus":0.03727480629853918,"score_gpt":0.23765728325298344,"score_spread":0.20038247695444425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392902053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92737764,0.0025886737,0.00010335834,0.00086002843,0.0016127013,0.0006529988,0.000068878886,0.00013970523,0.06659602],"genre_scores_gemma":[0.99496216,0.002442966,0.001563463,0.00018036063,0.00025647314,0.000059189788,0.00022032385,0.00013097988,0.00018409533],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961044,0.00005969262,0.0018845195,0.0010393219,0.000113571536,0.0007984813],"domain_scores_gemma":[0.99751085,0.00036745192,0.0010235949,0.00090262434,0.00004192311,0.00015355658],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013977184,0.0005607336,0.0012719324,0.00080988224,0.0005039149,0.00037124776,0.00090383703,0.00034330686,0.00009253429],"category_scores_gemma":[0.00015587559,0.0005261529,0.00037529564,0.0006137566,0.00021739249,0.0001449751,0.0068283537,0.0016332815,0.00019837552],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034209213,0.0005497936,0.83439076,0.0009445538,0.0003270422,0.00009474427,0.0075563067,0.050326236,0.000011068382,0.012727542,0.00088310114,0.09184674],"study_design_scores_gemma":[0.0019734849,0.0006355377,0.1534292,0.0052216332,0.00009340546,0.000026748101,0.003155356,0.637066,0.000054861062,0.1420765,0.05240406,0.0038631961],"about_ca_topic_score_codex":0.004238756,"about_ca_topic_score_gemma":0.006009696,"teacher_disagreement_score":0.68096155,"about_ca_system_score_codex":0.0008093513,"about_ca_system_score_gemma":0.00022723005,"threshold_uncertainty_score":0.999719},"labels":[],"label_agreement":null},{"id":"W4392987464","doi":"10.1111/1540-6229.12484","title":"Commercial real estate and air pollution","year":2024,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Real estate; Particulates; Pollution; Apartment; Economics; Air pollution; Natural resource economics; Finance; Ecology; Engineering","score_opus":0.021759540356751,"score_gpt":0.22135409914201756,"score_spread":0.19959455878526655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392987464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61715406,0.00005443349,0.00011385094,0.0009814819,0.0010599543,0.00013201176,0.00026573183,0.00015078254,0.38008767],"genre_scores_gemma":[0.82829595,0.16977228,0.00052787183,0.00017906856,0.00039474887,0.000015522723,0.00008604475,0.00008900845,0.0006395223],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979266,0.000019351512,0.0008207731,0.0006955033,0.000015940332,0.00052186556],"domain_scores_gemma":[0.9991423,0.0000936676,0.00020382642,0.00033677428,0.0000127950025,0.00021066277],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00073515414,0.0002919376,0.00053233205,0.0003261825,0.000179354,0.0003213669,0.0001883748,0.00018273712,0.00013182737],"category_scores_gemma":[0.000020823285,0.0003777953,0.00014762158,0.0001316356,0.00014715757,0.0006531734,0.00011776767,0.00024621063,0.0008478932],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000105897874,0.00006580966,0.012495974,0.0001693475,0.00015988533,0.00003458427,0.0027464984,0.002257625,0.000008637605,0.12828751,0.0025063353,0.8511619],"study_design_scores_gemma":[0.0010999065,0.00020563556,0.058892857,0.000050776103,0.00004260719,0.00007421928,0.0004122916,0.10736382,0.00004127699,0.034283374,0.79618156,0.0013516956],"about_ca_topic_score_codex":0.00480416,"about_ca_topic_score_gemma":0.0015482402,"teacher_disagreement_score":0.8498102,"about_ca_system_score_codex":0.00040806478,"about_ca_system_score_gemma":0.000083887804,"threshold_uncertainty_score":0.9999301},"labels":[],"label_agreement":null},{"id":"W4393034509","doi":"10.3390/jrfm17030130","title":"Empirical Distribution of the U.S. Housing Market during the Great Recession: Nonlinear Scaling Behavior after a Major Crash","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Crash; Recession; Scaling; Nonlinear system; Economics; Econometrics; Keynesian economics; Physics; Computer science; Mathematics","score_opus":0.010819704716644117,"score_gpt":0.22087655151777544,"score_spread":0.21005684680113132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393034509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928131,0.0018140139,0.0027016045,0.00032882625,0.0011602696,0.00014111471,0.00008831188,0.000007412859,0.00094531284],"genre_scores_gemma":[0.995235,0.0038055503,0.00035876842,0.000041153326,0.00036360652,0.0000065890845,0.0000011100581,0.000014540044,0.00017363866],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988918,0.00003065702,0.00067164283,0.00017204757,0.000059755326,0.00017415114],"domain_scores_gemma":[0.9993466,0.000048899703,0.00036567566,0.00017193674,0.000025000663,0.00004185615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009663103,0.00011899285,0.00026813505,0.00011524549,0.00020293794,0.00013734328,0.00018100187,0.00006902452,0.00006995243],"category_scores_gemma":[0.000064675456,0.000080000515,0.00020734733,0.00023344792,0.0000776781,0.00017146856,0.00015507892,0.0002708109,0.000005681891],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029740963,0.000118192394,0.8493891,0.00031392367,0.000072268005,0.00010026145,0.0007206077,0.00010651916,0.000003125139,0.0010038421,0.0018416707,0.14603308],"study_design_scores_gemma":[0.00036532842,0.000028764427,0.89767146,0.00023467933,0.00010577789,0.000024122872,0.000076529905,0.0009133043,0.000016153987,0.0022896405,0.09814689,0.00012736105],"about_ca_topic_score_codex":0.000020887399,"about_ca_topic_score_gemma":0.000020471662,"teacher_disagreement_score":0.14590572,"about_ca_system_score_codex":0.000104138635,"about_ca_system_score_gemma":0.000017305842,"threshold_uncertainty_score":0.3262326},"labels":[],"label_agreement":null},{"id":"W4393078428","doi":"10.2139/ssrn.4758695","title":"Green Intermediary Asset Pricing","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Business; Capital asset pricing model; Asset (computer security); Consumption-based capital asset pricing model; Financial economics; Economics; Finance; Computer science; Computer security","score_opus":0.01259243705835097,"score_gpt":0.21273168050825117,"score_spread":0.2001392434499002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393078428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60470164,0.041252233,0.050320838,0.0070998026,0.0066285017,0.00026005582,0.00004122565,0.00035167555,0.28934404],"genre_scores_gemma":[0.9859707,0.00872275,0.000088141656,0.0001344818,0.0008969767,0.0000031184675,0.0000058901146,0.000046105204,0.0041318713],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976706,0.000014579813,0.0004940314,0.0002750518,0.000027142283,0.0015185993],"domain_scores_gemma":[0.9995738,0.00005066216,0.00013042377,0.00015446698,0.000011681456,0.00007895526],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0024097501,0.00014239109,0.0002518623,0.00033130648,0.00012283368,0.00024766917,0.00026636763,0.00008881879,0.00021709417],"category_scores_gemma":[0.000047197387,0.00015520297,0.00017084324,0.00017975603,0.000032914468,0.00041904266,0.00004919213,0.0014257728,0.001150489],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016214652,0.000027340942,0.0074483766,0.000030100384,0.0002773805,0.000020473582,0.00042103927,0.00002801729,0.000014767519,0.8948335,0.0012392551,0.09564353],"study_design_scores_gemma":[0.00021632401,0.000104646584,0.0004986776,0.00003790496,0.000013950244,0.00040117794,0.00026196186,0.0070896233,0.0000069422467,0.90409905,0.08700354,0.0002661897],"about_ca_topic_score_codex":0.00012737921,"about_ca_topic_score_gemma":0.0003150707,"teacher_disagreement_score":0.38126904,"about_ca_system_score_codex":0.0009955186,"about_ca_system_score_gemma":0.00043532636,"threshold_uncertainty_score":0.99962723},"labels":[],"label_agreement":null},{"id":"W4393080781","doi":"10.3390/jrfm17040133","title":"Theoretical Foundation for Pricing Climate-Related Loss and Damage in Infrastructure Financing","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Foundation (evidence); Climate Finance; Finance; Critical infrastructure; Business; Climate change; Computer science; Computer security; Geography; Geology; Oceanography","score_opus":0.0053558036927445415,"score_gpt":0.20208790559493456,"score_spread":0.19673210190219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393080781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9609931,0.0013486744,0.031485032,0.00018400079,0.0008223357,0.00018869499,0.000019455463,0.00001005064,0.0049486593],"genre_scores_gemma":[0.9873762,0.010002653,0.002433101,0.000035403104,0.00011571566,0.0000033505858,0.0000024662013,0.000014129502,0.000016976799],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989746,0.000010397396,0.00061819114,0.00018484457,0.000021757596,0.00019019691],"domain_scores_gemma":[0.9995701,0.00008654375,0.00022314336,0.000066612156,0.0000141962955,0.00003941039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012104987,0.000104149105,0.0002857222,0.0003689023,0.0000880014,0.00015016935,0.00006703673,0.00007890082,0.000034485372],"category_scores_gemma":[0.00010907578,0.000104925464,0.00006408712,0.00015091535,0.00006391164,0.00025664622,0.000057318022,0.00019535515,0.0000044580006],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006600411,0.000014046062,0.03500982,0.00018138824,0.000013789174,0.000027111957,0.0007180278,0.0002529414,8.8662466e-7,0.78959113,0.00008066015,0.17404418],"study_design_scores_gemma":[0.0011283779,0.0001352675,0.24316888,0.00024526755,0.00004099337,0.000023363904,0.00017316065,0.022902485,0.0000030025474,0.68821687,0.04374964,0.00021270743],"about_ca_topic_score_codex":0.000008018843,"about_ca_topic_score_gemma":0.000012836496,"teacher_disagreement_score":0.20815904,"about_ca_system_score_codex":0.000079113495,"about_ca_system_score_gemma":0.000012157585,"threshold_uncertainty_score":0.4278736},"labels":[],"label_agreement":null},{"id":"W4393851768","doi":"10.1016/j.jhe.2024.101993","title":"Effect of conventional and unconventional monetary policy shocks on housing prices in Canada","year":2024,"lang":"en","type":"article","venue":"Journal of Housing Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quantitative easing; Monetary policy; Economics; Monetary economics; Surprise; Shock (circulatory); Bayesian vector autoregression; Basis point; Real estate; Macroeconomics; Interest rate; Bayesian probability; Central bank; Finance","score_opus":0.011642217379225668,"score_gpt":0.215668803246352,"score_spread":0.20402658586712633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393851768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923169,0.001574985,0.00016229675,0.0005112324,0.0012594891,0.00008862924,0.000060122562,0.0000068995005,0.004019473],"genre_scores_gemma":[0.998009,0.0011259052,0.00036954443,0.00009611084,0.0003387182,0.0000012074273,0.000004977591,0.00003487826,0.00001964459],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99822664,0.000025147303,0.0012170281,0.00024592437,0.000040103532,0.00024517343],"domain_scores_gemma":[0.9987363,0.00034720518,0.00067340705,0.00012529362,0.000021932521,0.00009581928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013166624,0.000186218,0.00065409776,0.00076836784,0.00004898108,0.00010349933,0.00015880719,0.000081841135,0.00007412998],"category_scores_gemma":[0.00008195181,0.0002046147,0.00017384502,0.000157715,0.000061443876,0.00036959958,0.00004439757,0.00027874645,0.000008056462],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010528966,0.00019883463,0.74507177,0.0014052535,0.0008123379,0.0002071026,0.0004800312,0.080376185,0.00007360093,0.10766742,0.0014041897,0.06125039],"study_design_scores_gemma":[0.016876651,0.005100342,0.25382158,0.0047040526,0.00036367678,0.0010401336,0.0006915694,0.4370328,0.004648699,0.20327283,0.06825817,0.004189507],"about_ca_topic_score_codex":0.063662395,"about_ca_topic_score_gemma":0.056867544,"teacher_disagreement_score":0.4912502,"about_ca_system_score_codex":0.0012014174,"about_ca_system_score_gemma":0.00078329333,"threshold_uncertainty_score":0.96034217},"labels":[],"label_agreement":null},{"id":"W4393856052","doi":"10.1016/j.tre.2024.103500","title":"An integrated causal framework to evaluate uplift value with an example on change in public transport supply","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part E Logistics and Transportation Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Anticipation (artificial intelligence); Public transport; Econometrics; Value (mathematics); Parametric statistics; Computer science; Function (biology); Economics; Operations research; Transport engineering; Engineering; Mathematics; Statistics","score_opus":0.2662431733322326,"score_gpt":0.38481257839912947,"score_spread":0.1185694050668969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393856052","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8837341,0.01516129,0.07767232,0.00825337,0.0008943135,0.006528995,0.0042025377,0.00051236944,0.003040718],"genre_scores_gemma":[0.9520884,0.04106304,0.0023856547,0.0007730677,0.00013430882,0.00060242706,0.0028370323,0.0000826985,0.000033361765],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9966942,0.00012525446,0.0011788745,0.001094198,0.000244545,0.00066293235],"domain_scores_gemma":[0.9985145,0.00020601567,0.00012391886,0.00049272046,0.00018330502,0.00047958377],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0032752776,0.00034457303,0.00070408155,0.00070397154,0.00017156187,0.00019775282,0.00027317813,0.00019228384,0.00064425304],"category_scores_gemma":[0.000041432933,0.00033612395,0.00008757966,0.0013510607,0.00015733982,0.00067586097,0.00000136655,0.00067092717,0.00011833769],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031408537,0.00054462155,0.122546986,0.003293498,0.000096505886,0.0002612029,0.0052057733,0.0022139042,0.0000036334231,0.82939076,0.00019225414,0.035936795],"study_design_scores_gemma":[0.0011690995,0.0026120383,0.66173166,0.0062106918,0.00012445256,0.000003119852,0.00040267315,0.01065076,0.000010425377,0.0251723,0.2905501,0.0013626515],"about_ca_topic_score_codex":0.00467646,"about_ca_topic_score_gemma":0.019000908,"teacher_disagreement_score":0.8042184,"about_ca_system_score_codex":0.00010461586,"about_ca_system_score_gemma":0.00015089184,"threshold_uncertainty_score":0.9999091},"labels":[],"label_agreement":null},{"id":"W4393905955","doi":"10.2139/ssrn.4782542","title":"Housing Market, Extrapolative Belief, and Entrepreneurship: Micro Evidence from China","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Entrepreneurship; China; Economics; Political science; Finance","score_opus":0.02130251327444799,"score_gpt":0.2264263306191885,"score_spread":0.2051238173447405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393905955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8313121,0.14687651,0.0028977327,0.0016616075,0.0022631828,0.00027089912,0.00016650316,0.00008936711,0.0144621],"genre_scores_gemma":[0.86251694,0.13368022,0.0005669468,0.000053365373,0.001126375,0.000010571486,0.000016551749,0.000120378536,0.0019086564],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9953304,0.00009192234,0.001128833,0.0011793347,0.00006944116,0.002200096],"domain_scores_gemma":[0.9981133,0.0002049285,0.0009132628,0.000544493,0.000034664365,0.00018938816],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0032352062,0.00056275073,0.00092616666,0.0004915787,0.00027255496,0.0008893569,0.0006213644,0.0004707157,0.00035983286],"category_scores_gemma":[0.00022508096,0.00066074793,0.0003940295,0.00015128696,0.00012462311,0.00030343817,0.00090175786,0.006036654,0.0001912083],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012102177,0.00047515132,0.5066864,0.0010002146,0.0074568675,0.00020757719,0.014191566,0.0011690859,0.00045285717,0.20148355,0.005670131,0.25999638],"study_design_scores_gemma":[0.00032846988,0.00008369877,0.0099181635,0.0006040597,0.00010681503,0.00010965549,0.00023286854,0.0026415598,0.00003265496,0.9834025,0.0017885305,0.0007510116],"about_ca_topic_score_codex":0.001495236,"about_ca_topic_score_gemma":0.0011873005,"teacher_disagreement_score":0.78191894,"about_ca_system_score_codex":0.0019794938,"about_ca_system_score_gemma":0.0011107699,"threshold_uncertainty_score":0.9995844},"labels":[],"label_agreement":null},{"id":"W4393947919","doi":"10.1177/23998083241242844","title":"A geo-referenced micro-data set of real estate listings for Spain’s three largest cities","year":2024,"lang":"en","type":"article","venue":"Environment and Planning B Urban Analytics and City Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Data set; Real estate; Business; Set (abstract data type); Geography; Computer science; Finance; Artificial intelligence","score_opus":0.09077364254019403,"score_gpt":0.24947589572649728,"score_spread":0.15870225318630327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393947919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895154,0.0006926487,0.0022257636,0.0002904736,0.00015903794,0.000116761104,0.0006162587,0.00001925581,0.0063643716],"genre_scores_gemma":[0.99439603,0.0028505013,0.0019731207,0.000035359615,0.0000861961,0.0000030102901,0.000063410276,0.00001165191,0.00058074424],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877423,0.0000039230813,0.00033391482,0.0005385172,0.000046854657,0.00030253528],"domain_scores_gemma":[0.9993293,0.00012597186,0.00013468546,0.00027687527,0.000007515812,0.00012564877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014817665,0.00013323764,0.0002619546,0.0001859635,0.00021241617,0.00027075256,0.00027827892,0.00005324933,0.00003550229],"category_scores_gemma":[0.00010271119,0.0001416519,0.000033574433,0.000117769174,0.00044862909,0.0003038203,0.00020960938,0.000096533644,0.00000621804],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035176356,0.000027222199,0.9663963,0.00021501901,0.00006585062,0.00000648562,0.0037126376,0.00023201511,0.00020634003,0.018403398,0.0018669057,0.00883268],"study_design_scores_gemma":[0.0005602656,0.00022273255,0.189725,0.00016586794,0.000070558315,0.000008544951,0.0007638864,0.6963059,0.000105199506,0.0141052045,0.097208135,0.0007587496],"about_ca_topic_score_codex":0.00047524992,"about_ca_topic_score_gemma":0.000035884314,"teacher_disagreement_score":0.7766713,"about_ca_system_score_codex":0.000043203654,"about_ca_system_score_gemma":0.00003949363,"threshold_uncertainty_score":0.57763964},"labels":[],"label_agreement":null},{"id":"W4393955736","doi":"10.2139/ssrn.4751898","title":"Adaptation Using Financial Markets: Climate Risk Diversification through Securitization","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; HEC Montréal","funders":"","keywords":"Diversification (marketing strategy); Securitization; Cash flow; Liberian dollar; Business; Climate risk; Portfolio; Climate change; Finance","score_opus":0.020635591933972013,"score_gpt":0.21904339526677433,"score_spread":0.1984078033328023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393955736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55791295,0.010517637,0.41610998,0.00035783922,0.0019391766,0.0001790772,0.000089987014,0.00011228794,0.012781075],"genre_scores_gemma":[0.94118154,0.057272572,0.00079531025,0.00003962781,0.0005223994,0.0000028345698,0.000025909847,0.000035051107,0.00012478128],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979777,0.000038356073,0.0005223857,0.0003072354,0.000039107843,0.0011152467],"domain_scores_gemma":[0.9994401,0.000040117062,0.00031693713,0.00013048398,0.000032120006,0.000040241528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022083316,0.00014278534,0.00019960018,0.00021503175,0.0003916925,0.00026878098,0.00014820344,0.00011680417,0.0001037255],"category_scores_gemma":[0.000116546515,0.00017474155,0.00013828615,0.00026761342,0.000029655264,0.0009383188,0.000028745368,0.0008216162,0.0002482457],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007206295,0.000038697373,0.0067736395,0.00003557487,0.00010153921,0.000003425392,0.0013434584,0.0019166104,0.000011644306,0.9470998,0.00013588113,0.04246768],"study_design_scores_gemma":[0.00036516515,0.00006406513,0.0013197946,0.000041707794,0.000036984045,0.000083770596,0.0006083834,0.16467853,0.000008412323,0.8118323,0.020674495,0.0002863819],"about_ca_topic_score_codex":0.0001702742,"about_ca_topic_score_gemma":0.00019686315,"teacher_disagreement_score":0.41531467,"about_ca_system_score_codex":0.0014145263,"about_ca_system_score_gemma":0.00039048868,"threshold_uncertainty_score":0.7125754},"labels":[],"label_agreement":null},{"id":"W4394393644","doi":"10.6084/m9.figshare.22581691","title":"Urban residential building stocks 1978-2020","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Geography; Environmental science; Business; Environmental planning","score_opus":0.049739024243655935,"score_gpt":0.2444722804769348,"score_spread":0.19473325623327886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394393644","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000071892077,0.00044174824,6.420136e-7,0.00009218749,0.0014213076,0.00027550518,0.99141383,0.00016016529,0.006187424],"genre_scores_gemma":[0.000023650424,0.00020731984,0.000028160252,0.00022344802,0.0020083003,0.00016538241,0.9958491,0.00009138229,0.0014032645],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99756175,0.000017179802,0.00086606864,0.0008950558,0.000055976576,0.00060394086],"domain_scores_gemma":[0.9979795,0.00015054412,0.00075151585,0.00091599167,0.000031690808,0.00017073724],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00022444956,0.00041684383,0.00078435877,0.00043763584,0.0002001169,0.0004236898,0.0009439423,0.00062058447,0.14679845],"category_scores_gemma":[0.0013820396,0.0005801062,0.00032172815,0.00032789935,0.0000114670665,0.00021902907,0.0005548253,0.0006309251,0.20897768],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007800871,0.000017488046,0.000017505796,0.00031214804,0.00006513372,0.000055145614,0.000016495333,0.000017284585,6.732755e-8,0.000034570472,0.99935895,0.000097403165],"study_design_scores_gemma":[0.00021698668,0.000025563453,0.00017842697,0.00057289103,0.000011508116,0.00000490829,0.000005317495,0.00012543691,0.0000014192191,0.00047587362,0.9977352,0.0006464548],"about_ca_topic_score_codex":0.00046186257,"about_ca_topic_score_gemma":0.00029281658,"teacher_disagreement_score":0.062179238,"about_ca_system_score_codex":0.00023753903,"about_ca_system_score_gemma":0.00008336411,"threshold_uncertainty_score":0.999665},"labels":[],"label_agreement":null},{"id":"W4394742624","doi":"10.2139/ssrn.4792894","title":"Estimating the Effect of Metro Vancouver's 2016 Foreign Buyers Tax on City-Level Real Estate Prices","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Download; Real estate; Advertising; Computer science; Business; World Wide Web; Finance","score_opus":0.017925742870050027,"score_gpt":0.23508532678073404,"score_spread":0.21715958391068402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394742624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8183257,0.0019763187,0.0075320615,0.0003280929,0.0048410506,0.0005972571,0.0002250989,0.000068900576,0.16610554],"genre_scores_gemma":[0.983788,0.012944974,0.0008578564,0.000026479642,0.0009049391,0.000034920282,0.000014915989,0.00012004138,0.0013078686],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9958542,0.00009192151,0.0013027334,0.0006711796,0.0001093598,0.001970584],"domain_scores_gemma":[0.9970604,0.00042127812,0.0017684948,0.0006026159,0.000043578773,0.000103608916],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.008146093,0.0005170086,0.0010703161,0.0005505552,0.00028025237,0.0002853485,0.0009498175,0.00032294757,0.00006738434],"category_scores_gemma":[0.0002830205,0.00041327914,0.0006470513,0.00021505792,0.00010668759,0.00013692492,0.0004660559,0.004856722,0.00013446802],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015350733,0.00025593367,0.05256999,0.001899902,0.008475613,0.000049101927,0.0021366952,0.10072939,0.000016231757,0.31928405,0.010743266,0.50230473],"study_design_scores_gemma":[0.00094240333,0.001104602,0.0003916603,0.0003714296,0.00019716928,0.000030151557,0.00040745866,0.033882175,0.00008793035,0.960014,0.0018313541,0.0007396743],"about_ca_topic_score_codex":0.0015713699,"about_ca_topic_score_gemma":0.0035874294,"teacher_disagreement_score":0.6407299,"about_ca_system_score_codex":0.0022433866,"about_ca_system_score_gemma":0.0010633642,"threshold_uncertainty_score":0.9998319},"labels":[],"label_agreement":null},{"id":"W4394743813","doi":"10.2139/ssrn.4764418","title":"Generative AI and Price Discrimination in the Housing Market","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Generative grammar; Economics; Artificial intelligence; Financial economics; Computer science","score_opus":0.014443102833649581,"score_gpt":0.2239218918680032,"score_spread":0.20947878903435363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394743813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8068533,0.022693025,0.048423767,0.015273265,0.0009133703,0.00025246738,0.000011509618,0.00004169342,0.105537586],"genre_scores_gemma":[0.98677427,0.011992594,0.00006664678,0.00030397892,0.0002565693,0.000004558113,0.0000018876747,0.000017733713,0.0005817608],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99866515,0.000039060436,0.00030738077,0.00019681652,0.00002451353,0.00076706376],"domain_scores_gemma":[0.99973774,0.000059567585,0.000081687765,0.00008799074,0.000008758066,0.000024257997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003258942,0.00009885816,0.0001452071,0.00021131929,0.00014154516,0.00039450178,0.00013231393,0.00005132975,0.000047150203],"category_scores_gemma":[0.00004698038,0.00008469289,0.00005123625,0.00017223683,0.000031167758,0.0003967616,0.000020806605,0.0008979035,0.000026754435],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017485403,0.000027687065,0.007222878,0.00001675853,0.00004396471,0.000007861971,0.00207343,0.000045198107,0.0000064878695,0.93926954,0.00065634353,0.050612334],"study_design_scores_gemma":[0.00027005016,0.00008172517,0.005168307,0.000029007211,0.0000093276085,0.00021573566,0.0013577319,0.026963491,0.0000039581537,0.94794476,0.01775708,0.0001988171],"about_ca_topic_score_codex":0.00006461852,"about_ca_topic_score_gemma":0.0007637604,"teacher_disagreement_score":0.17992096,"about_ca_system_score_codex":0.0005662152,"about_ca_system_score_gemma":0.0001956606,"threshold_uncertainty_score":0.3900994},"labels":[],"label_agreement":null},{"id":"W4394747075","doi":"10.2139/ssrn.4758387","title":"Sustainable Investing Home and Abroad","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Download; Internet privacy; World Wide Web; Business; Computer science","score_opus":0.010097849442452447,"score_gpt":0.20983267080741036,"score_spread":0.1997348213649579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394747075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8374498,0.039903093,0.004521786,0.0016217595,0.00065561326,0.000101134145,0.000004242499,0.00010590485,0.1156367],"genre_scores_gemma":[0.97191674,0.013932741,0.00011174193,0.000079860474,0.00035558743,0.0000027723047,0.0000015160805,0.000035592922,0.013563432],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976826,0.00001079679,0.00036316004,0.00025416582,0.000018953737,0.0016703287],"domain_scores_gemma":[0.9996534,0.000040528725,0.00009795273,0.0001058839,0.000015342102,0.00008692164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002416606,0.00012257618,0.00021469961,0.0002810667,0.00021299938,0.00044001164,0.00013412096,0.000071688686,0.000082441264],"category_scores_gemma":[0.00007568328,0.00013762378,0.000074423755,0.00017700285,0.00004322524,0.0004788227,0.00005185486,0.0009710022,0.00018297257],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006081639,0.000007795486,0.0072292048,0.000033538538,0.000065714456,0.00001322723,0.00026307185,0.00001609211,0.000003477417,0.9806766,0.0003177955,0.011367402],"study_design_scores_gemma":[0.00018893473,0.0000731529,0.0005004644,0.000016579683,0.0000068014942,0.00034629455,0.00094020955,0.0022225783,0.0000023206035,0.9297942,0.06570836,0.00020011325],"about_ca_topic_score_codex":0.00020899349,"about_ca_topic_score_gemma":0.00011715248,"teacher_disagreement_score":0.13446699,"about_ca_system_score_codex":0.0007914749,"about_ca_system_score_gemma":0.00042475594,"threshold_uncertainty_score":0.5612135},"labels":[],"label_agreement":null},{"id":"W4394747799","doi":"10.2139/ssrn.4745899","title":"Merger Bonds: A New Remedy for an Old Problem","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Download; Computer science; World Wide Web; Internet privacy; Bond; Computer security; Business; Finance","score_opus":0.02435261950913222,"score_gpt":0.23471633993562221,"score_spread":0.21036372042649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394747799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44910392,0.06622525,0.23188648,0.018352382,0.0074787666,0.0018322606,0.00013086695,0.00076006824,0.22422999],"genre_scores_gemma":[0.95045084,0.0115073165,0.0023458814,0.0003135355,0.0023741843,0.000025088702,0.000020926736,0.00013516525,0.032827087],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99725467,0.000011112745,0.0005842018,0.00037903836,0.000027906375,0.0017430912],"domain_scores_gemma":[0.999417,0.00003692558,0.00016415953,0.00020591659,0.000020368541,0.00015564618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025436333,0.00017271099,0.00030164985,0.00026700803,0.00016697262,0.00034149003,0.0002774931,0.00011268883,0.00015522577],"category_scores_gemma":[0.00004371641,0.00018645647,0.00019047572,0.00016854078,0.000019788738,0.00057912583,0.000022407328,0.00083914294,0.00028719282],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042436066,0.000036418664,0.0006615649,0.000022670902,0.0001748547,0.0000014229026,0.00030927506,0.000081847036,0.00004196479,0.95305705,0.006562759,0.039007753],"study_design_scores_gemma":[0.0003439202,0.00030305856,0.0000371367,0.000016906462,0.000014176948,0.000084054394,0.00012277598,0.004256537,0.000008271242,0.7273364,0.26725698,0.00021980969],"about_ca_topic_score_codex":0.00018123526,"about_ca_topic_score_gemma":0.0009428507,"teacher_disagreement_score":0.5013469,"about_ca_system_score_codex":0.00085377455,"about_ca_system_score_gemma":0.0009121998,"threshold_uncertainty_score":0.76034737},"labels":[],"label_agreement":null},{"id":"W4394838398","doi":"10.3390/jrfm17040160","title":"The Diversification Benefits of Foreign Real Estate: Evidence from 40 Years of Data","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; Diversification (marketing strategy); Capitalization rate; Portfolio; Real estate investment trust; Financial economics; Equity (law); Business; Economics; Monetary economics; Finance","score_opus":0.0465173543406634,"score_gpt":0.2335165072309,"score_spread":0.1869991528902366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394838398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9808904,0.005963253,0.0068107275,0.000086544474,0.0005746828,0.000094010706,0.00032081894,0.0000041890385,0.005255395],"genre_scores_gemma":[0.7738155,0.224857,0.0012004668,0.0000032024245,0.000092754686,4.931793e-7,0.000003941911,0.0000053435338,0.000021265034],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991443,0.000011220068,0.0005661081,0.00014717222,0.000041196585,0.00009000305],"domain_scores_gemma":[0.99899524,0.00019339204,0.00050792494,0.00025294008,0.000024276962,0.000026231208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011503755,0.000058307058,0.00020755346,0.00012698719,0.00005430302,0.000054517277,0.00033496105,0.000033890043,0.00000942955],"category_scores_gemma":[0.00010730981,0.000053774696,0.000058814127,0.000116889794,0.000053748605,0.00035707327,0.00015816197,0.0000898172,0.000006536603],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012904183,0.000021410717,0.027722208,0.000053204294,0.00005261364,0.000005390131,0.00067340373,0.00012854396,0.0000015224828,0.030747324,0.0007630793,0.9397023],"study_design_scores_gemma":[0.0004293247,0.00014384736,0.8518137,0.0003258383,0.00012546418,0.0000021191304,0.0005920404,0.0037376175,0.000017142069,0.042007927,0.10065005,0.00015493367],"about_ca_topic_score_codex":0.0004851051,"about_ca_topic_score_gemma":0.00006772226,"teacher_disagreement_score":0.9395473,"about_ca_system_score_codex":0.000029131603,"about_ca_system_score_gemma":0.00001574125,"threshold_uncertainty_score":0.21928684},"labels":[],"label_agreement":null},{"id":"W4394842333","doi":"10.2139/ssrn.4787863","title":"Income Inequality, House Prices, and Housing Regulations","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"House price; Inequality; Economics; Economic inequality; Labour economics; Public economics; Monetary economics; Mathematics","score_opus":0.020263102453095386,"score_gpt":0.23163490489042693,"score_spread":0.21137180243733156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394842333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94978744,0.01416748,0.023200298,0.0012540949,0.00069730886,0.00009441502,0.000011144579,0.00017335203,0.0106144985],"genre_scores_gemma":[0.98676324,0.011907366,0.00033265905,0.000049470884,0.00038197616,0.0000024316373,0.000002161275,0.00005658732,0.00050410716],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980828,0.000016332346,0.00051060354,0.00027430593,0.00003127653,0.0010846445],"domain_scores_gemma":[0.9995279,0.0000587714,0.00015790337,0.00016026187,0.000014530326,0.00008064621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025916512,0.00013593672,0.00024597003,0.00032938784,0.00022945637,0.00047531642,0.00015974436,0.00008822223,0.000049250648],"category_scores_gemma":[0.00005692925,0.00015212026,0.000090814385,0.00022092555,0.000045827914,0.0004922538,0.00006361998,0.0008777511,0.00016692656],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009357754,0.000018639506,0.032614574,0.000027682705,0.00011148129,0.0000040787804,0.0002868421,0.000072900504,0.000007610181,0.94749004,0.000060928956,0.019295868],"study_design_scores_gemma":[0.00027180885,0.000071807386,0.007447949,0.000036772337,0.000014640402,0.00021875552,0.00019382205,0.005108317,0.0000032937935,0.9684944,0.017869502,0.00026892705],"about_ca_topic_score_codex":0.00013124234,"about_ca_topic_score_gemma":0.00046973967,"teacher_disagreement_score":0.03697583,"about_ca_system_score_codex":0.00074100937,"about_ca_system_score_gemma":0.00033185678,"threshold_uncertainty_score":0.6203284},"labels":[],"label_agreement":null},{"id":"W4394845699","doi":"10.54254/2754-1169/74/20241486","title":"An Analysis of China’s Housing Purchase Situation Based on Real Estate Policies","year":2024,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Council on International Law","funders":"","keywords":"Purchasing power; Real estate; China; Purchasing; Context (archaeology); Government (linguistics); Business; Affect (linguistics); Power (physics); Economics; Market economy; Economic policy; Finance; Marketing; Macroeconomics; Geography","score_opus":0.018338857675280266,"score_gpt":0.2791140773229777,"score_spread":0.26077521964769745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394845699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72451764,0.00012904029,0.0015233785,0.00044595796,0.00021260825,0.0000956999,0.00005077371,0.000027255051,0.27299765],"genre_scores_gemma":[0.9916628,0.006956881,0.001139112,0.00013552468,0.000041590214,0.000008047528,0.000016497013,0.000009770602,0.00002978693],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856246,0.000017187556,0.0005087973,0.0004947911,0.000028622955,0.00038815266],"domain_scores_gemma":[0.9994944,0.000106452084,0.000111272275,0.00018686033,0.000004608164,0.000096446056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086814316,0.00013739719,0.00034267368,0.0011804999,0.00009993033,0.00022563446,0.00020215008,0.00004193847,0.000043918397],"category_scores_gemma":[0.00001597599,0.00014796438,0.00008150634,0.00053222355,0.00032217184,0.000795493,0.000041271556,0.000064971886,0.00000970622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012310686,0.000048212292,0.061055515,0.000039416132,0.00003301445,0.0000018363203,0.00019866446,0.07135068,3.4774195e-7,0.82870376,0.0000011570243,0.038555086],"study_design_scores_gemma":[0.00015108568,0.0001253171,0.056649085,0.00002113141,0.000043583233,1.700535e-7,0.00032652714,0.8504369,0.000008774831,0.08895718,0.00307211,0.00020811408],"about_ca_topic_score_codex":0.0008102863,"about_ca_topic_score_gemma":0.00062632083,"teacher_disagreement_score":0.77908623,"about_ca_system_score_codex":0.00013001196,"about_ca_system_score_gemma":0.000015768694,"threshold_uncertainty_score":0.6033813},"labels":[],"label_agreement":null},{"id":"W4394891071","doi":"10.54254/2754-1169/77/20241802","title":"Influential Factors on California Regional Housing Price Analysed by Multiple Linear Regression","year":2024,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; University of Toronto","funders":"","keywords":"Econometrics; Linear regression; Regression analysis; Regression; Population; Linear model; House price; Test (biology); Statistics; Economics; Mathematics; Demography","score_opus":0.027146739628810822,"score_gpt":0.27069636644065226,"score_spread":0.24354962681184145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394891071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85727,0.0023232608,0.0008731618,0.0009079135,0.00091346103,0.00019053894,0.000107272775,0.000065493405,0.13734889],"genre_scores_gemma":[0.9931388,0.00526259,0.0007979937,0.0003905328,0.00011108533,0.000009238937,0.000021159565,0.00001695053,0.0002516304],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981884,0.000015491098,0.0005287919,0.0006732802,0.000037035286,0.0005570264],"domain_scores_gemma":[0.99937177,0.00022175575,0.00010844909,0.00014931457,0.000004641684,0.00014405385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005145813,0.00020335695,0.00030314276,0.00039189166,0.00020225749,0.0002694383,0.00023880955,0.00007522425,0.00006534217],"category_scores_gemma":[0.00003792865,0.00019285313,0.00007756282,0.0002380549,0.0003188729,0.0007257278,0.00010473819,0.00014150041,0.00009603507],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003217085,0.00006716403,0.12551802,0.00007730618,0.000031710315,0.000005999913,0.000093072806,0.0017720301,0.0000019110378,0.86248165,0.0003371846,0.009581784],"study_design_scores_gemma":[0.0007497341,0.00014917996,0.00478291,0.00016107279,0.000016473123,0.0000026347484,0.0005261936,0.13184169,0.00008634712,0.20343266,0.65747225,0.0007788624],"about_ca_topic_score_codex":0.0001073132,"about_ca_topic_score_gemma":0.00006240339,"teacher_disagreement_score":0.659049,"about_ca_system_score_codex":0.0001814123,"about_ca_system_score_gemma":0.000014262392,"threshold_uncertainty_score":0.7864322},"labels":[],"label_agreement":null},{"id":"W4394976779","doi":"10.1007/978-3-031-56560-1_8","title":"The Immovable Property Commission in North Cyprus","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Immovable property; Commission; Property (philosophy); Political science; Philosophy; Law; Epistemology","score_opus":0.03344813742951065,"score_gpt":0.19016561359041873,"score_spread":0.1567174761609081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394976779","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018278114,0.0024471371,0.000010264493,0.00084732485,0.0010329199,0.00025646493,0.000048951748,0.00006211288,0.99511206],"genre_scores_gemma":[0.007940039,0.005462036,0.000059905353,0.00008992186,0.00019134603,0.000013716738,0.00002515481,0.00009315494,0.98612475],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99837154,0.0000027825292,0.00079412747,0.000491501,0.000024942661,0.00031508022],"domain_scores_gemma":[0.9991153,0.00005998747,0.00021283327,0.00052851095,0.000013454737,0.00006995181],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005098937,0.00028142962,0.0004918539,0.00021557137,0.00014538082,0.00025879458,0.00037016024,0.00026110336,0.0014048405],"category_scores_gemma":[0.000020106378,0.00018550766,0.00017751487,0.00005271919,0.000072965544,0.00009736632,0.00018620752,0.0005044948,0.006997647],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021656246,0.000012431892,0.0012585127,0.00005602953,0.000050880713,0.000016783117,0.000075380376,0.000023160801,1.0433521e-7,0.96392983,0.023775823,0.010779422],"study_design_scores_gemma":[0.00010332875,0.000018064193,0.000109154156,0.000041728403,0.0000040954087,0.0000026337855,0.000006975158,0.0016838432,6.011594e-7,0.14880094,0.8489466,0.00028207418],"about_ca_topic_score_codex":0.0004917931,"about_ca_topic_score_gemma":0.005157946,"teacher_disagreement_score":0.82517076,"about_ca_system_score_codex":0.00025585233,"about_ca_system_score_gemma":0.00004126626,"threshold_uncertainty_score":0.999508},"labels":[],"label_agreement":null},{"id":"W4394989640","doi":"10.1016/j.frl.2024.105437","title":"Geopolitical risk and the dynamics of REITs returns","year":2024,"lang":"en","type":"article","venue":"Finance research letters","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Université du Québec à Montréal","funders":"","keywords":"Geopolitics; Real estate investment trust; Financial economics; Economics; Real estate; Securitization; Capital asset pricing model; Econometrics; Financial system; Finance; Political science","score_opus":0.03597122221918759,"score_gpt":0.27700691014678525,"score_spread":0.24103568792759766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394989640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92495114,0.0031529507,0.001927136,0.022630747,0.0004474361,0.00028015045,0.00021832163,0.000035606558,0.0463565],"genre_scores_gemma":[0.99314815,0.0054277685,0.00027545117,0.00015993789,0.0001569947,0.000022821581,0.000006979833,0.000024826333,0.0007770921],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985948,0.000086606466,0.0004120145,0.000362535,0.00006198035,0.0004820664],"domain_scores_gemma":[0.99875253,0.0007378618,0.00007456366,0.00035696893,0.000026336491,0.000051707033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003780385,0.00010096623,0.00029668544,0.00024994797,0.00016283416,0.0001557533,0.00026670477,0.000077774544,0.00006252502],"category_scores_gemma":[0.00055736775,0.00008688766,0.00009797351,0.00033517732,0.0009133755,0.00016193463,0.0001428599,0.0005983949,0.00018925784],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049158367,0.000010321207,0.0063071446,0.00008944039,0.000028879314,0.000009721035,0.00042492012,0.00003020885,0.0000037842433,0.9826665,0.004908932,0.0054709986],"study_design_scores_gemma":[0.0013920312,0.0001028064,0.020553725,0.00021266754,0.000015091103,0.000024801877,0.00023070993,0.30772758,0.0000592629,0.49474618,0.17448132,0.00045382354],"about_ca_topic_score_codex":0.00066330744,"about_ca_topic_score_gemma":0.00008145981,"teacher_disagreement_score":0.4879203,"about_ca_system_score_codex":0.0001414183,"about_ca_system_score_gemma":0.00003338116,"threshold_uncertainty_score":0.3543176},"labels":[],"label_agreement":null},{"id":"W4395082421","doi":"10.3390/jrfm17050176","title":"High Risk, Constrained Return: Impact of Student Loans on Agricultural Real Estate","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; Agriculture; Business; Risk–return spectrum; Economics; Finance; Geography; Archaeology","score_opus":0.010605292637731537,"score_gpt":0.2242804358218109,"score_spread":0.21367514318407937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395082421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97884643,0.0003193721,0.0008790638,0.00005367207,0.000981844,0.00012728735,0.00017808011,0.0000119044225,0.01860234],"genre_scores_gemma":[0.95337045,0.04571813,0.0005249438,0.000009469048,0.00026933206,0.0000017464447,0.0000034571624,0.000013439534,0.000089023844],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9986385,0.000025695881,0.0008501719,0.00021241138,0.000058184618,0.00021505111],"domain_scores_gemma":[0.99898267,0.00007811522,0.0006856789,0.00013023258,0.000033808003,0.00008951352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009271966,0.00017360556,0.0005006222,0.00033566405,0.000084379906,0.000118621036,0.00015452004,0.00006981164,0.00005474212],"category_scores_gemma":[0.00004294983,0.00013918459,0.0003060932,0.00018357212,0.00006268119,0.00018204846,0.00005389218,0.0002979623,0.000021759233],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006320344,0.0004509684,0.29642358,0.00024389026,0.00074256526,0.0002945032,0.0049447156,0.0040333094,0.000010653574,0.09245806,0.0052120094,0.5945537],"study_design_scores_gemma":[0.0011319062,0.00090594287,0.97539216,0.00013097146,0.000109960114,0.000018139204,0.00035817822,0.0003684997,0.000009220776,0.011558164,0.00976336,0.00025351765],"about_ca_topic_score_codex":0.00050250057,"about_ca_topic_score_gemma":0.00005143693,"teacher_disagreement_score":0.67896855,"about_ca_system_score_codex":0.00016711064,"about_ca_system_score_gemma":0.00002430553,"threshold_uncertainty_score":0.56757826},"labels":[],"label_agreement":null},{"id":"W4396220234","doi":"10.1177/00420980241244699","title":"Does gentrification constrain housing markets for low-income households? Evidence from household residential mobility in the New York and San Francisco metropolitan areas","year":2024,"lang":"en","type":"article","venue":"Urban Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Gentrification; Metropolitan area; Low income; Leverage (statistics); Neighbourhood (mathematics); Demographic economics; Low income housing; Economic geography; Labour economics; Economic growth; Economics; Geography","score_opus":0.07177673146229598,"score_gpt":0.26405841271776864,"score_spread":0.19228168125547268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396220234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9278203,0.06562208,0.001964893,0.0013843687,0.0013700887,0.00066997815,0.0003160693,0.00010786627,0.0007443472],"genre_scores_gemma":[0.99507993,0.0030533827,0.0008328451,0.00012553357,0.00062523497,0.00007009587,0.00000982948,0.00004200417,0.00016113278],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99796814,0.00006434724,0.0007823149,0.0007374161,0.00005823885,0.00038952767],"domain_scores_gemma":[0.99793154,0.0013159005,0.00020178434,0.00045907163,0.000019823021,0.00007190076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017589506,0.0002566101,0.0005619657,0.00020640928,0.00023961741,0.0004250668,0.00027663482,0.00011360884,0.000032367985],"category_scores_gemma":[0.0006150029,0.00019347137,0.00012924083,0.00027555373,0.0002591964,0.00039334196,0.00007890032,0.00019651098,0.00001621959],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041135473,0.00018994014,0.8810189,0.0009840764,0.0008273461,0.000033749482,0.0199832,0.0001102244,0.00011782624,0.02785222,0.0568581,0.011613111],"study_design_scores_gemma":[0.0018628709,0.00017671805,0.7472829,0.0014706306,0.0002196726,0.000007050364,0.012232787,0.0042317836,0.0003459594,0.20305769,0.027654711,0.001457211],"about_ca_topic_score_codex":0.0017419715,"about_ca_topic_score_gemma":0.001587996,"teacher_disagreement_score":0.17520548,"about_ca_system_score_codex":0.00037717415,"about_ca_system_score_gemma":0.000052667685,"threshold_uncertainty_score":0.7889533},"labels":[],"label_agreement":null},{"id":"W4396240199","doi":"10.3390/jrfm17050183","title":"Practical Improvements to Mean-Variance Optimization for Multi-Asset Class Portfolios","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Variance (accounting); Class (philosophy); Asset (computer security); Asset allocation; Computer science; Econometrics; Mathematics; Mathematical optimization; Economics; Portfolio; Financial economics; Artificial intelligence; Accounting","score_opus":0.029159608227734377,"score_gpt":0.26520346666234423,"score_spread":0.23604385843460984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396240199","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013429497,0.0004427047,0.98139733,0.00054598664,0.0017463139,0.00034423446,0.00008023671,0.000014894249,0.00199878],"genre_scores_gemma":[0.6868427,0.008503623,0.30254897,0.0005948981,0.0007804483,0.000038745755,0.000009432667,0.000053089767,0.00062808534],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988169,0.000008858556,0.00067555666,0.0002471592,0.000037266575,0.00021425939],"domain_scores_gemma":[0.9993647,0.00004656075,0.00032842232,0.00011502834,0.000042893615,0.00010241896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010634157,0.00012411475,0.00030123198,0.00034788944,0.00009684878,0.00019855346,0.00010314265,0.000069664566,0.00003595519],"category_scores_gemma":[0.00016504778,0.00013190054,0.00011823542,0.00017491046,0.000015691081,0.00034108324,0.00006140394,0.00013989653,0.000026349378],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069058355,0.00055342226,0.010315133,0.0006454967,0.0003402123,0.00017195224,0.0016353631,0.012419257,0.0000067349088,0.49444327,0.039847113,0.43893144],"study_design_scores_gemma":[0.0017815634,0.00041801535,0.0083596585,0.0001374516,0.000115599316,0.000018118813,0.00014562294,0.15220487,0.000011563961,0.01515381,0.8212523,0.0004014282],"about_ca_topic_score_codex":0.000016637403,"about_ca_topic_score_gemma":0.000014117974,"teacher_disagreement_score":0.7814052,"about_ca_system_score_codex":0.00010665108,"about_ca_system_score_gemma":0.000027333492,"threshold_uncertainty_score":0.53787476},"labels":[],"label_agreement":null},{"id":"W4396857440","doi":"10.3390/jrfm17050202","title":"Navigating Real Estate Investment Trust Performance Dynamics: The Role of Style (Equity vs. Mortgage Real Estate Investment Trusts) and Diversification Amidst the COVID-19 Pandemic","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate investment trust; Diversification (marketing strategy); Equity (law); Business; Real estate; Coronavirus disease 2019 (COVID-19); Monetary economics; Financial economics; Economics; Finance","score_opus":0.021438747458065458,"score_gpt":0.24616318031429624,"score_spread":0.22472443285623078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396857440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9786329,0.000536129,0.0005713668,0.0003603196,0.0003331061,0.00029099153,0.00009791062,0.000018642615,0.019158589],"genre_scores_gemma":[0.81141734,0.18797268,0.00026153904,0.00017868377,0.00009331552,0.000010011261,0.0000079160845,0.000014716696,0.000043809785],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9984863,0.00005576129,0.0008461141,0.0002696855,0.000091252,0.00025088261],"domain_scores_gemma":[0.99871725,0.00012951875,0.0007733405,0.00023201985,0.000026424537,0.00012144548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026244584,0.00018121682,0.00035543618,0.00012721242,0.0003859316,0.00017982193,0.00026893103,0.00006542533,0.0000102526255],"category_scores_gemma":[0.00006993179,0.00013719586,0.000103588914,0.00020038699,0.00022882794,0.00030202814,0.00024368841,0.0003973336,0.000005327255],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018030818,0.000059506125,0.27669856,0.00025733796,0.00010196446,0.000020051706,0.010578824,0.0010569657,0.0000032972057,0.04086729,0.00017095488,0.6700049],"study_design_scores_gemma":[0.001960965,0.0006014981,0.5751251,0.00023068259,0.00034286964,0.00008061985,0.009666432,0.15496314,0.000012321693,0.047378425,0.20902935,0.0006085736],"about_ca_topic_score_codex":0.0019078064,"about_ca_topic_score_gemma":0.00041169027,"teacher_disagreement_score":0.66939634,"about_ca_system_score_codex":0.0004729406,"about_ca_system_score_gemma":0.00005592952,"threshold_uncertainty_score":0.5594685},"labels":[],"label_agreement":null},{"id":"W4396891036","doi":"10.2139/ssrn.4826053","title":"Optimal Mortgage Refinancing with Inattention","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Shared appreciation mortgage; Business; Mortgage underwriting; Collateralized mortgage obligation; Commercial mortgage-backed security; Financial system; Monetary economics; Cardiology; Economics; Actuarial science; Mortgage insurance; Medicine","score_opus":0.010626305071990564,"score_gpt":0.198755969499126,"score_spread":0.18812966442713544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396891036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86856264,0.0074121626,0.062313672,0.0008969769,0.0007457344,0.00008847516,0.0000068619747,0.00010543356,0.059868034],"genre_scores_gemma":[0.99092233,0.0050307475,0.00041479644,0.000043367916,0.00032577146,0.000004529214,0.000004632194,0.0000473343,0.0032064891],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99788743,0.000010962009,0.0003996047,0.0002925602,0.000031303225,0.0013781412],"domain_scores_gemma":[0.99961644,0.000019380837,0.00014353867,0.00014635026,0.000016650294,0.00005763447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019617905,0.00014394836,0.00022974289,0.00027196735,0.00017637164,0.0002772622,0.00016485451,0.000073707,0.00011003558],"category_scores_gemma":[0.000020845735,0.00014302686,0.00011677355,0.0002084812,0.000031606276,0.00048406608,0.000024241874,0.0012264305,0.00043521813],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004438859,0.000032317577,0.008767648,0.000025882762,0.00018843115,0.0000294281,0.00020452999,0.00077526894,0.000012854377,0.9654485,0.0002123587,0.024258405],"study_design_scores_gemma":[0.0012194744,0.0008440299,0.0040376377,0.00018253484,0.000055013184,0.0022090606,0.0011462537,0.025824014,0.000031032454,0.8859631,0.077525645,0.0009622242],"about_ca_topic_score_codex":0.000063379746,"about_ca_topic_score_gemma":0.00019249899,"teacher_disagreement_score":0.122359686,"about_ca_system_score_codex":0.0010805199,"about_ca_system_score_gemma":0.00042220263,"threshold_uncertainty_score":0.5832466},"labels":[],"label_agreement":null},{"id":"W4396941914","doi":"10.2139/ssrn.4829611","title":"Optimal Mortgage Refinancing with Inattention","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Shared appreciation mortgage; Business; Mortgage underwriting; Collateralized mortgage obligation; Financial system; Economics; Actuarial science; Monetary economics; Mortgage insurance","score_opus":0.010626305071990564,"score_gpt":0.198755969499126,"score_spread":0.18812966442713544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396941914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86856264,0.0074121626,0.062313672,0.0008969769,0.0007457344,0.00008847516,0.0000068619747,0.00010543356,0.059868034],"genre_scores_gemma":[0.99092233,0.0050307475,0.00041479644,0.000043367916,0.00032577146,0.000004529214,0.000004632194,0.0000473343,0.0032064891],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99788743,0.000010962009,0.0003996047,0.0002925602,0.000031303225,0.0013781412],"domain_scores_gemma":[0.99961644,0.000019380837,0.00014353867,0.00014635026,0.000016650294,0.00005763447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019617905,0.00014394836,0.00022974289,0.00027196735,0.00017637164,0.0002772622,0.00016485451,0.000073707,0.00011003558],"category_scores_gemma":[0.000020845735,0.00014302686,0.00011677355,0.0002084812,0.000031606276,0.00048406608,0.000024241874,0.0012264305,0.00043521813],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004438859,0.000032317577,0.008767648,0.000025882762,0.00018843115,0.0000294281,0.00020452999,0.00077526894,0.000012854377,0.9654485,0.0002123587,0.024258405],"study_design_scores_gemma":[0.0012194744,0.0008440299,0.0040376377,0.00018253484,0.000055013184,0.0022090606,0.0011462537,0.025824014,0.000031032454,0.8859631,0.077525645,0.0009622242],"about_ca_topic_score_codex":0.000063379746,"about_ca_topic_score_gemma":0.00019249899,"teacher_disagreement_score":0.122359686,"about_ca_system_score_codex":0.0010805199,"about_ca_system_score_gemma":0.00042220263,"threshold_uncertainty_score":0.5832466},"labels":[],"label_agreement":null},{"id":"W4398142651","doi":"10.3390/jrfm17050214","title":"South African Real Estate Investment Trusts Prefer Tuesdays","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"London Metropolitan University","keywords":"Real estate; Business; Investment (military); Real estate investment trust; Estate; Finance; Economics; Political science; Law; Politics","score_opus":0.014937154125619682,"score_gpt":0.19594386286260784,"score_spread":0.18100670873698815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398142651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.719615,0.001418626,0.007362618,0.0002045178,0.0022808355,0.00020960254,0.00008029243,0.00003879841,0.2687897],"genre_scores_gemma":[0.96013933,0.037256695,0.001620378,0.000090863934,0.00038045814,0.000005075588,0.0000019566282,0.000024734727,0.00048051667],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987378,0.000016515733,0.000706602,0.00024869308,0.000045685043,0.0002446953],"domain_scores_gemma":[0.9993433,0.00003152887,0.00034094224,0.00014965197,0.000017875656,0.00011674882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009558635,0.00015349369,0.00036598172,0.0004227867,0.00009418568,0.0001917485,0.0001463819,0.000062798965,0.000054384214],"category_scores_gemma":[0.000037798018,0.0001512183,0.00014724888,0.00018417745,0.000049121238,0.00024165375,0.00008308483,0.00021834216,0.000081741746],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028183014,0.00013660033,0.025542086,0.00027705618,0.00018302625,0.00028686118,0.009555927,0.00033072307,0.0000013310336,0.25856218,0.005693112,0.69914925],"study_design_scores_gemma":[0.00071172806,0.00020727403,0.08831773,0.00009084161,0.00008035564,0.00001612391,0.00045760442,0.001176908,0.0000035819367,0.06714603,0.84148425,0.0003075494],"about_ca_topic_score_codex":0.00007874157,"about_ca_topic_score_gemma":0.00002342192,"teacher_disagreement_score":0.8357912,"about_ca_system_score_codex":0.00012322476,"about_ca_system_score_gemma":0.000023750452,"threshold_uncertainty_score":0.61665034},"labels":[],"label_agreement":null},{"id":"W4398168767","doi":"10.7202/1111341ar","title":"Fiscalité locale et prix immobiliers des propriétés résidentielles","year":2024,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","score_opus":0.041477128289677395,"score_gpt":0.2553474442266167,"score_spread":0.2138703159369393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398168767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7590545,0.12189503,0.004030027,0.047998738,0.016687622,0.0002139806,0.00011628926,0.000015289645,0.04998852],"genre_scores_gemma":[0.98124844,0.0063427705,0.0019466162,0.00064770493,0.0005744948,0.0000019184456,0.0000019836289,0.000032144402,0.009203934],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.997893,0.000031939508,0.0007960137,0.00040691934,0.000109132074,0.00076301006],"domain_scores_gemma":[0.99818873,0.00011310464,0.00031590182,0.0002193086,0.00016721399,0.0009957618],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0034495252,0.00018676415,0.0003631694,0.0010244008,0.00044320125,0.0010556313,0.0007579983,0.00013812071,0.00080277317],"category_scores_gemma":[0.00033907453,0.00021526167,0.0002633263,0.0010012229,0.0029542465,0.0016383512,0.000040306026,0.00045335805,0.00029333966],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034397723,0.000082731676,0.06851456,0.00049484445,0.00019851266,0.0011636636,0.008152362,0.005222658,0.000079491176,0.64959055,0.09195517,0.17451103],"study_design_scores_gemma":[0.00019833064,0.00015488004,0.009539064,0.00081786263,0.000022344913,0.0010174739,0.0006609225,0.0080839675,0.000066132154,0.08840458,0.89064175,0.0003926795],"about_ca_topic_score_codex":0.007608587,"about_ca_topic_score_gemma":0.018806702,"teacher_disagreement_score":0.7986866,"about_ca_system_score_codex":0.0014347167,"about_ca_system_score_gemma":0.0053807,"threshold_uncertainty_score":0.99998134},"labels":[],"label_agreement":null},{"id":"W4399322441","doi":"10.1093/jeea/jvae036","title":"Examining Income Expectations in the College and Early Post-College Periods: New Distributional Tests of Rational Expectations","year":2024,"lang":"en","type":"article","venue":"Journal of the European Economic Association","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Economics; Rational expectations; Econometrics; Demographic economics","score_opus":0.01951369950462725,"score_gpt":0.2175396076829208,"score_spread":0.19802590817829355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399322441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9800044,0.00053751754,0.00014176716,0.002861304,0.0008541292,0.0001348226,0.00039089573,0.0000074789286,0.015067686],"genre_scores_gemma":[0.9986726,0.00005435879,0.00026240302,0.00004239356,0.00045023087,0.0000025355903,0.000008296981,0.000018709563,0.00048845756],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984557,0.00015979988,0.0010288715,0.00015529004,0.000054907276,0.00014541941],"domain_scores_gemma":[0.9982504,0.0005397521,0.0009899002,0.00013030996,0.000047675017,0.000041953364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019100667,0.000108500295,0.00026446613,0.00024334567,0.00014924425,0.00014621847,0.00027961383,0.000048076057,0.0000515903],"category_scores_gemma":[0.00050749886,0.00009346902,0.00014206051,0.00017712721,0.00003892306,0.00051968184,0.000050115905,0.00022957865,0.00006206374],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005034899,0.00011232896,0.8155651,0.000034828656,0.0003184159,0.000014001816,0.018115489,0.0012094072,0.00009918837,0.15416284,0.009057618,0.0012604404],"study_design_scores_gemma":[0.00057922315,0.00006746064,0.9821565,0.000058283124,0.000022009985,0.00003117773,0.0027765336,0.0012447267,0.000007734282,0.01009681,0.0028274271,0.0001320815],"about_ca_topic_score_codex":0.00003652195,"about_ca_topic_score_gemma":0.000087415036,"teacher_disagreement_score":0.16659144,"about_ca_system_score_codex":0.00067790254,"about_ca_system_score_gemma":0.0001775394,"threshold_uncertainty_score":0.38115558},"labels":[],"label_agreement":null},{"id":"W4399492533","doi":"10.3390/math12121798","title":"Housing Developers’ Heterogeneous Decision-Making under Negative Shock after the High-Growth Era: Evidence from the Chinese Real Estate Economy","year":2024,"lang":"en","type":"article","venue":"Mathematics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Real estate; Shock (circulatory); Business; Cash flow; Empirical evidence; Finance; Real estate development; Risk aversion (psychology); Payment; Cash; Real estate investment trust; Macro; Economics; Marketing; Expected utility hypothesis; Financial economics","score_opus":0.024200112920969075,"score_gpt":0.2442814232256993,"score_spread":0.22008131030473022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399492533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.957156,0.0008005052,0.025661247,0.0013013043,0.0007555573,0.00033409867,0.000079614525,0.00010706853,0.013804598],"genre_scores_gemma":[0.9819525,0.0019639034,0.015042604,0.0005037274,0.00032609233,0.000053849843,0.0000039777974,0.0000878689,0.00006545881],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981297,0.00003520749,0.0008512042,0.0005303667,0.000056809306,0.00039670218],"domain_scores_gemma":[0.99556315,0.003437087,0.0002583685,0.00063815905,0.0000410931,0.00006213762],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00095241464,0.00032725194,0.0004686181,0.00010723102,0.00032015372,0.00097078306,0.00058512844,0.000114967916,0.00042278774],"category_scores_gemma":[0.00043100273,0.0002185969,0.00019324872,0.0003195785,0.00013775582,0.0004568676,0.0002782314,0.00032283788,0.00086590607],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010601119,0.0008213902,0.15881677,0.0017976273,0.0050471034,0.0007746837,0.27233577,0.049775593,0.000054342276,0.1984157,0.010284608,0.3008163],"study_design_scores_gemma":[0.0002451938,0.000034664143,0.013243071,0.0008165569,0.000065822904,0.00003850082,0.0009516848,0.11552932,0.000025232976,0.8664271,0.0018829803,0.0007398489],"about_ca_topic_score_codex":0.00049671624,"about_ca_topic_score_gemma":0.00065431895,"teacher_disagreement_score":0.6680114,"about_ca_system_score_codex":0.00029651597,"about_ca_system_score_gemma":0.000078843776,"threshold_uncertainty_score":0.999912},"labels":[],"label_agreement":null},{"id":"W4399653621","doi":"10.54097/00506568","title":"Predictive Analytics and Macroeconomic Influence: A Detailed Exploration of the Toronto Housing Market Dynamics","year":2024,"lang":"en","type":"article","venue":"Highlights in Science Engineering and Technology","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Autoregressive integrated moving average; Diversification (marketing strategy); Predictive analytics; Economics; Econometrics; Analytics; Financial economics; Business; Time series; Marketing; Computer science; Statistics; Data science; Mathematics","score_opus":0.007697728336362295,"score_gpt":0.1966098978161416,"score_spread":0.18891216947977932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399653621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99297434,0.0010182607,0.0018507848,0.000717629,0.00041913602,0.000113578055,0.000017572958,0.00007700374,0.0028117201],"genre_scores_gemma":[0.9979733,0.0012967784,0.0006447053,0.000005460795,0.00001667409,0.000009900209,3.9595622e-7,0.000011032932,0.00004173171],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909514,0.0000031438196,0.0003324552,0.00033480342,0.000022980528,0.0002114816],"domain_scores_gemma":[0.99962425,0.000040601783,0.00007716641,0.00020996618,0.000017220234,0.00003078406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050888414,0.000104982275,0.0002103443,0.00044935732,0.000078566496,0.0000896654,0.00020916846,0.000104927916,0.0000052042255],"category_scores_gemma":[0.00009961351,0.00009637357,0.00001969363,0.0005706344,0.00036780862,0.0006882327,0.00013569597,0.00011735976,0.000004478371],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000099116005,0.000021297621,0.05652559,0.00011890207,0.000029522038,0.000004547392,0.00087547704,0.009257312,0.0006449582,0.92879975,0.000037491962,0.0036752478],"study_design_scores_gemma":[0.00015597319,0.000040022565,0.01866138,0.00010430243,0.000006662823,0.000009685341,0.0002168533,0.9614521,0.0004972094,0.016805716,0.0018605237,0.00018957169],"about_ca_topic_score_codex":0.00007640858,"about_ca_topic_score_gemma":0.0002639092,"teacher_disagreement_score":0.9521948,"about_ca_system_score_codex":0.0002905522,"about_ca_system_score_gemma":0.000037738613,"threshold_uncertainty_score":0.39300004},"labels":[],"label_agreement":null},{"id":"W4399698767","doi":"10.2139/ssrn.4866762","title":"Investing in Green Bonds with Goal-Oriented Preferences","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Bond; Business; Finance","score_opus":0.0193456301815717,"score_gpt":0.21583866038154628,"score_spread":0.19649303019997458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399698767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8984283,0.008252244,0.0009168732,0.0010568837,0.00085964904,0.00023448752,0.000033474946,0.000074266514,0.09014378],"genre_scores_gemma":[0.98954105,0.0067904308,0.0003341347,0.00006745532,0.0005250402,0.000024311064,0.00002214821,0.000086096545,0.002609315],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9960924,0.000035814042,0.0009994798,0.0006887524,0.000058448113,0.002125118],"domain_scores_gemma":[0.9987991,0.00004099807,0.00067628385,0.00033609912,0.000034501056,0.00011303188],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0029708287,0.00037519558,0.00070861995,0.0007357503,0.00010886769,0.0002948043,0.0005017082,0.00031975185,0.000059846563],"category_scores_gemma":[0.00007111385,0.00038210393,0.00014360176,0.0003126448,0.00007369645,0.00016233703,0.00040742639,0.0060286536,0.00019308749],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001545484,0.0001279935,0.15708894,0.00030484266,0.00069000886,0.000046698427,0.0016639371,0.002410346,0.0000034273037,0.8113076,0.0001924037,0.026009265],"study_design_scores_gemma":[0.00044861197,0.0001942815,0.0013345575,0.00027142762,0.000024808973,0.00012151853,0.00043284293,0.0037774772,0.000002275703,0.9898805,0.0029945006,0.00051717093],"about_ca_topic_score_codex":0.0021500331,"about_ca_topic_score_gemma":0.014172014,"teacher_disagreement_score":0.17857294,"about_ca_system_score_codex":0.0021134824,"about_ca_system_score_gemma":0.001942377,"threshold_uncertainty_score":0.9998631},"labels":[],"label_agreement":null},{"id":"W4399736687","doi":"10.1007/978-3-031-54383-8_53","title":"A Review of Trends and Prevention Strategies for Mortgage Income Fraud in the Canadian Market","year":2024,"lang":"en","type":"review","venue":"Studies in systems, decision and control","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Royal Roads University","funders":"","keywords":"Business; Economics; Financial system; Actuarial science","score_opus":0.12106220778222489,"score_gpt":0.37518523724769204,"score_spread":0.25412302946546717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399736687","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000014505085,0.98608595,0.000053146417,0.00009253499,0.00067964586,0.0012601285,0.00031398755,0.00000520119,0.011494915],"genre_scores_gemma":[0.0061171697,0.99287677,0.000027584467,0.00008396612,0.000082020706,0.0005416242,0.000014405331,0.000025234254,0.00023125226],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99738014,0.00013793532,0.0017522142,0.0004398701,0.000038220373,0.00025162843],"domain_scores_gemma":[0.9984265,0.000644091,0.0005521288,0.0002976016,0.00003159804,0.000048100166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047840565,0.00029043676,0.0026001344,0.00080071646,0.000087039436,0.00014733666,0.00021542671,0.00018793093,0.000016955099],"category_scores_gemma":[0.00026551844,0.00021168993,0.00023579816,0.00036672567,0.00009080247,0.000096810814,0.0000544352,0.00022030495,0.0000061599544],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001985056,0.000017636758,0.00023329385,0.12786692,0.0003429432,0.000013044423,0.00051555265,0.000001031693,7.452435e-10,0.017104326,0.012586066,0.84129936],"study_design_scores_gemma":[0.0004512548,0.00005089376,0.000099425626,0.06264764,0.00017158056,0.000015283325,0.00054220855,0.0001728184,1.4187418e-10,0.008130844,0.9275067,0.00021134265],"about_ca_topic_score_codex":0.003190329,"about_ca_topic_score_gemma":0.041294284,"teacher_disagreement_score":0.9149206,"about_ca_system_score_codex":0.00022126609,"about_ca_system_score_gemma":0.00014065787,"threshold_uncertainty_score":0.9761996},"labels":[],"label_agreement":null},{"id":"W4399767564","doi":"10.54097/z336qy32","title":"Study of Influential Factors on Housing Prices by Using MLR","year":2024,"lang":"en","type":"article","venue":"Highlights in Science Engineering and Technology","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Real estate; Hedonic regression; Business; Perspective (graphical); Value (mathematics); Marketing; Economics; Econometrics; Finance; Computer science","score_opus":0.018095695586618794,"score_gpt":0.22381367032770402,"score_spread":0.20571797474108522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399767564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979747,0.0003411522,0.0002395903,0.000067337416,0.0005834653,0.00009042021,0.000006505175,0.00010968719,0.00058715564],"genre_scores_gemma":[0.9995797,0.0000851312,0.00029223764,0.0000021558717,0.000017927407,0.0000030014921,3.167446e-7,0.00001314947,0.000006372535],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990054,0.0000018193751,0.00032666163,0.00038594758,0.000033809312,0.0002463981],"domain_scores_gemma":[0.9996838,0.000035010176,0.00006399947,0.00017653871,0.00000925026,0.000031387866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034574224,0.00011431833,0.00024011543,0.0014963369,0.00007296084,0.00008408796,0.0002081648,0.00008847279,0.0000036126899],"category_scores_gemma":[0.000056593406,0.00011519126,0.000015633168,0.001103629,0.00014601297,0.00022868012,0.00007868101,0.00013778087,0.000011733722],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017159977,0.0006113961,0.16157763,0.00018462799,0.0000912387,0.000057556168,0.0058198334,0.025910813,0.01901859,0.7808795,0.00007453634,0.005757096],"study_design_scores_gemma":[0.003779875,0.0027574378,0.03935791,0.0010687235,0.000068451234,0.000054305026,0.0056156293,0.7686543,0.086256646,0.019596618,0.06886758,0.0039225547],"about_ca_topic_score_codex":0.00009390581,"about_ca_topic_score_gemma":0.000010045517,"teacher_disagreement_score":0.7612829,"about_ca_system_score_codex":0.0000943945,"about_ca_system_score_gemma":0.000017408674,"threshold_uncertainty_score":0.4697363},"labels":[],"label_agreement":null},{"id":"W4399767624","doi":"10.54097/2nz8xe97","title":"Research on the Relationship between Influencing Factors and House Prices Changes","year":2024,"lang":"en","type":"article","venue":"Highlights in Science Engineering and Technology","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"House price; Hedonic pricing; Economics; Agricultural economics; Perspective (graphical); Econometrics; Mathematics","score_opus":0.08793954473951691,"score_gpt":0.28087665147084984,"score_spread":0.1929371067313329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399767624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933334,0.0006253844,0.00004865566,0.0044082697,0.00017614548,0.00007365057,0.000003539091,0.00016149475,0.0011694736],"genre_scores_gemma":[0.9994833,0.00030612,0.000117582385,0.0000060677426,0.000039993618,0.000011538235,1.8879777e-7,0.000012590677,0.000022625283],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991726,0.0000046454225,0.00016033821,0.0003377962,0.00003600894,0.0002885643],"domain_scores_gemma":[0.99903274,0.0007158637,0.00002413112,0.00018099524,0.000010138424,0.000036121888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015436155,0.00008355599,0.00013440165,0.0017337403,0.00021877355,0.0001849501,0.00021553658,0.00010483575,0.0000021431297],"category_scores_gemma":[0.00045670202,0.00006399288,0.000007923851,0.0014498114,0.0003552042,0.00016323554,0.00010282016,0.0003361564,0.000055831413],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[3.1011314e-7,0.000001938693,0.18327571,0.000013297046,0.0000019855834,0.0000014826464,0.00037326934,0.00003855926,0.0000376572,0.8159861,0.000012785732,0.0002568804],"study_design_scores_gemma":[0.00016745157,0.00017019374,0.81916505,0.00030228222,0.000003829224,0.0000082289025,0.0007946018,0.011993252,0.002209067,0.11466647,0.050030693,0.00048889493],"about_ca_topic_score_codex":0.000039491122,"about_ca_topic_score_gemma":0.000021345775,"teacher_disagreement_score":0.70131963,"about_ca_system_score_codex":0.00008683869,"about_ca_system_score_gemma":0.000017050712,"threshold_uncertainty_score":0.2609554},"labels":[],"label_agreement":null},{"id":"W4399789608","doi":"10.1111/jors.12715","title":"Quantifying the impacts of climate shocks in commercial real estate markets","year":2024,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Capitalization; Real estate; Flood myth; Futures contract; Database transaction; Climate change; Climate risk; Business; Flood insurance; Flooding (psychology); Economics; Natural resource economics; Finance; Geography","score_opus":0.06611908290755249,"score_gpt":0.296305499661075,"score_spread":0.23018641675352253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399789608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96247315,0.00036119108,0.000061699335,0.0019160405,0.00073505,0.000041398263,0.00000765703,0.000004101407,0.03439968],"genre_scores_gemma":[0.9850658,0.014435558,0.00029531642,0.000067134795,0.00011572381,4.4900838e-7,2.8047523e-7,0.0000074014583,0.000012338709],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998762,0.000017771461,0.00069978595,0.00015347645,0.00008866924,0.00027825983],"domain_scores_gemma":[0.9991257,0.00020175806,0.0004233816,0.00012662268,0.000045215656,0.000077277444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046473294,0.000078986544,0.0002546217,0.00042739982,0.000105476225,0.00014506398,0.00044196242,0.00003528898,0.000037068647],"category_scores_gemma":[0.00013656057,0.00006112282,0.000118462,0.0005626861,0.00031710407,0.00059355167,0.0000698664,0.00021991727,0.000016550255],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039171192,0.00015192149,0.74407524,0.00018437946,0.000054241857,0.00012980355,0.00520046,0.0010527404,0.0006443842,0.11042404,0.0022924433,0.13539864],"study_design_scores_gemma":[0.00050243165,0.00014419126,0.9350097,0.00036348926,0.000009431775,0.00024063907,0.00045195967,0.021657862,0.000098526,0.009353596,0.03191353,0.00025462676],"about_ca_topic_score_codex":0.00021249165,"about_ca_topic_score_gemma":0.00020091143,"teacher_disagreement_score":0.19093448,"about_ca_system_score_codex":0.00017380844,"about_ca_system_score_gemma":0.00018834704,"threshold_uncertainty_score":0.24925162},"labels":[],"label_agreement":null},{"id":"W4400011583","doi":"10.1108/ijhma-03-2024-0042","title":"Compared predictions of a consumption and a normative criterion of housing affordability in two mid-sized Canadian cities over time","year":2024,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Normative; Consumption (sociology); Economics; Public economics; Econometrics; Sociology; Political science; Social science","score_opus":0.017860750938085212,"score_gpt":0.2600336529184394,"score_spread":0.24217290198035418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400011583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99573,0.0008134921,0.0013076228,0.00024545705,0.00024358611,0.00004522663,0.00019551688,0.0000048509924,0.0014142552],"genre_scores_gemma":[0.99844825,0.0009208029,0.00052580406,0.000020886804,0.00004634163,7.1809785e-7,0.000012186436,0.000008465149,0.000016527505],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998756,0.000040768533,0.0008795212,0.00014671861,0.00006292262,0.00011405192],"domain_scores_gemma":[0.99913013,0.00015876484,0.00045538737,0.000071899296,0.00011350552,0.00007030828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009963436,0.000098649405,0.00048187785,0.0020178908,0.000041244053,0.00013117213,0.00009753112,0.000040156236,0.0002285953],"category_scores_gemma":[0.000086161715,0.00010506701,0.00016410825,0.00030251953,0.00012633101,0.0003906013,0.000033733802,0.00011195952,0.0000010007167],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023293922,0.00006813075,0.9869256,0.000102018515,0.0015626097,0.00001977395,0.0019851967,0.0026316044,0.000180606,0.00085061975,0.000056119447,0.0053847726],"study_design_scores_gemma":[0.0010788665,0.000042153904,0.6168471,0.0003727779,0.00027226727,0.000027265334,0.00020504274,0.37630638,0.000056878704,0.003946865,0.000649924,0.00019444685],"about_ca_topic_score_codex":0.008453648,"about_ca_topic_score_gemma":0.010410572,"teacher_disagreement_score":0.37367478,"about_ca_system_score_codex":0.00020886831,"about_ca_system_score_gemma":0.00008240174,"threshold_uncertainty_score":0.99814916},"labels":[],"label_agreement":null},{"id":"W4400153174","doi":"10.1787/07616181-en","title":"Improving Competition in Real Estate Transactions","year":2008,"lang":"en","type":"report","venue":"OECD competition law and policy working papers.","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Amicus Therapeutics; U.S. Department of Housing and Urban Development","keywords":"Competition (biology); Real estate; Business; Finance","score_opus":0.03776113495554084,"score_gpt":0.2464478837256126,"score_spread":0.20868674877007176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400153174","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033803575,0.00025400854,0.00023997232,0.0004814062,0.0010383266,0.00023643463,0.00019973787,0.00012012272,0.9940496],"genre_scores_gemma":[0.89174354,0.1028038,0.00039314185,0.0005059163,0.0012520183,0.000056480952,0.00036798522,0.000118421194,0.002758678],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975726,0.000042735734,0.001036195,0.00070924556,0.000089235495,0.00054995844],"domain_scores_gemma":[0.99871755,0.00010197391,0.00062933913,0.00036712282,0.000030657557,0.00015333212],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006130435,0.00040773733,0.0008637548,0.00064072915,0.00039894157,0.00019333983,0.00017715707,0.00043941353,0.0005170972],"category_scores_gemma":[0.000022207754,0.00054984825,0.0002234939,0.0002005807,0.00021772833,0.00015479221,0.000029525623,0.00062443974,0.00016599352],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008850124,0.00027187157,0.005371052,0.0006630355,0.00017543443,0.00009143356,0.0018731244,0.00058100035,0.000039437313,0.8600963,0.00035997812,0.13038884],"study_design_scores_gemma":[0.0006764459,0.000049340317,0.0022716178,0.00023834726,0.000018241553,0.00011873623,0.000060455284,0.00053833914,0.000005634106,0.0023632036,0.9929287,0.0007309671],"about_ca_topic_score_codex":0.0339754,"about_ca_topic_score_gemma":0.00873308,"teacher_disagreement_score":0.9925687,"about_ca_system_score_codex":0.0007982897,"about_ca_system_score_gemma":0.0002768339,"threshold_uncertainty_score":0.9996953},"labels":[],"label_agreement":null},{"id":"W4400304308","doi":"10.1111/jors.12718","title":"Assessing the environmental performance of green mortgage‐backed securities","year":2024,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Bond; Loan; Transparency (behavior); Efficient energy use; Incentive; Business; Asset (computer security); Real estate; Finance; Economics; Microeconomics; Computer science","score_opus":0.04228307836704735,"score_gpt":0.2501610323028885,"score_spread":0.20787795393584113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400304308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99072087,0.001829679,0.00011172827,0.00091026694,0.00050279015,0.000027743261,0.00000439782,0.000003905343,0.005888628],"genre_scores_gemma":[0.9979169,0.0012940875,0.00033563917,0.00008233001,0.00018719626,4.8325063e-7,3.0822648e-7,0.0000065328054,0.00017657303],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991201,0.000008003177,0.00047635133,0.00013139388,0.00010127269,0.00016285178],"domain_scores_gemma":[0.9993839,0.000080291946,0.00035143073,0.000114959716,0.000017298336,0.0000521128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018235573,0.00006889449,0.00017405188,0.00020629118,0.000161143,0.0001901893,0.00041372277,0.000026169593,0.000088143635],"category_scores_gemma":[0.000026085536,0.000052938492,0.00010600585,0.000221459,0.00060525077,0.0012800974,0.000055793287,0.00016907445,0.00002377641],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010567266,0.00030533265,0.73293746,0.0004345564,0.0002479804,0.00011226786,0.0126202535,0.0022200982,0.006197438,0.15070555,0.0055104382,0.08860297],"study_design_scores_gemma":[0.0005966325,0.0004392839,0.7078443,0.00056634477,0.000035288736,0.0011984982,0.0023419736,0.124401085,0.001450759,0.033669658,0.1268472,0.00060898863],"about_ca_topic_score_codex":0.000020532856,"about_ca_topic_score_gemma":0.000001481306,"teacher_disagreement_score":0.12218099,"about_ca_system_score_codex":0.00012816243,"about_ca_system_score_gemma":0.0001059182,"threshold_uncertainty_score":0.22300717},"labels":[],"label_agreement":null},{"id":"W4400354823","doi":"10.58886/jfi.v22i1.6774","title":"Intersection of Climate Beliefs and Sustainability: An Empirical Study of Energy Efficiency Premiums in the Residential Real Estate Market","year":2024,"lang":"en","type":"article","venue":"Journal of Finance Issues","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Sustainability; Intersection (aeronautics); Real estate; Estate; Business; Efficient energy use; Empirical research; Financial economics; Environmental economics; Economics; Natural resource economics; Finance; Engineering; Transport engineering; Mathematics","score_opus":0.01718978967246516,"score_gpt":0.2897297724117735,"score_spread":0.27253998273930835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400354823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99362445,0.00070678146,0.0001043163,0.00022833335,0.00032085035,0.000098254175,0.000008019098,0.000004433379,0.0049045924],"genre_scores_gemma":[0.9879731,0.011777073,0.00006984805,0.0000072620305,0.00011191242,0.0000026377556,5.5275257e-7,0.00001099343,0.000046626556],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99846476,0.00008650964,0.0010278345,0.00019697474,0.000053744316,0.00017017027],"domain_scores_gemma":[0.999115,0.0001184408,0.0004901198,0.00018662117,0.000066399465,0.0000234569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022785414,0.00010196855,0.00042173898,0.00035329346,0.000038477192,0.00007164313,0.00020412107,0.000059385675,0.000014786586],"category_scores_gemma":[0.000115780305,0.000087621556,0.00007588936,0.00026238765,0.00008169997,0.0003912586,0.00004812247,0.00016678762,4.7576864e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011369619,0.0017109284,0.86554986,0.00051202794,0.00009097186,0.0001358572,0.06660487,0.0017859661,0.000016847318,0.004794546,0.0008622046,0.056798942],"study_design_scores_gemma":[0.0013903043,0.0043201414,0.9274551,0.0002724789,0.000044459048,0.000079966696,0.021196943,0.015487637,0.00009436675,0.019861717,0.009470654,0.00032621357],"about_ca_topic_score_codex":0.0013363322,"about_ca_topic_score_gemma":0.0008532237,"teacher_disagreement_score":0.061905235,"about_ca_system_score_codex":0.00010359105,"about_ca_system_score_gemma":0.000051279934,"threshold_uncertainty_score":0.35731032},"labels":[],"label_agreement":null},{"id":"W4400585581","doi":"10.17951/h.2024.58.2.153-170","title":"Real Estate as Investment Instruments in Poland Between 2020 and 2023","year":2024,"lang":"en","type":"article","venue":"Annales Universitatis Mariae Curie-Skłodowska sectio H Oeconomia","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Investment (military); Real estate investment trust; Capitalization rate; Business; Finance; Quarter (Canadian coin); Politics; Geography; Political science","score_opus":0.01717259155223222,"score_gpt":0.21837443315341784,"score_spread":0.20120184160118562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400585581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70580596,0.00026764275,0.000022848353,0.00083605613,0.0007147847,0.00022632416,0.000262638,0.00007425364,0.2917895],"genre_scores_gemma":[0.9835829,0.011152232,0.00044096907,0.00021977739,0.00026816857,0.000012909275,0.0001748059,0.00007051354,0.004077734],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978154,0.00004452283,0.0007091459,0.00087521627,0.000035737296,0.0005200065],"domain_scores_gemma":[0.9990372,0.00017635222,0.00022180367,0.00029307726,0.000017567962,0.00025400711],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00052317575,0.00034199268,0.00059989525,0.0007357103,0.00017792152,0.0003564924,0.00024675805,0.00021501818,0.0007440362],"category_scores_gemma":[0.000036857462,0.00046501338,0.000128532,0.00035936365,0.00014863361,0.0011268907,0.00021157601,0.00033780848,0.0011528463],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024522992,0.000114047405,0.7855435,0.00032707513,0.0009269494,0.00032032802,0.008167866,0.0001581872,0.000024299805,0.10371425,0.015728045,0.084730215],"study_design_scores_gemma":[0.0026331146,0.00043203495,0.23660563,0.00014460519,0.00008013327,0.00006431913,0.0017953425,0.0043542585,0.000026306396,0.067987025,0.6844117,0.0014655055],"about_ca_topic_score_codex":0.0060144877,"about_ca_topic_score_gemma":0.0018861138,"teacher_disagreement_score":0.6686837,"about_ca_system_score_codex":0.00054166553,"about_ca_system_score_gemma":0.00012331367,"threshold_uncertainty_score":0.9997802},"labels":[],"label_agreement":null},{"id":"W4400783562","doi":"10.54254/2754-1169/6/2022200","title":"Determine the Relationship between Population, Residents’ Income and the Price of Real Estate using Linear Regression","year":2023,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Real estate; Linear regression; Econometrics; Population; Economics; Regression analysis; Regression; Statistics; Business; Actuarial science; Mathematics; Finance; Environmental health; Medicine","score_opus":0.06153192875106572,"score_gpt":0.30988147415438444,"score_spread":0.24834954540331872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400783562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9638654,0.0001572014,0.00006716224,0.0008773762,0.00013532388,0.00017363013,0.000010772376,0.000011393458,0.03470174],"genre_scores_gemma":[0.99030113,0.008855502,0.00063123106,0.00004177688,0.00005808285,0.0000066639886,0.00000383641,0.0000066135203,0.00009515204],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998831,0.000038593193,0.0005435606,0.00026864817,0.000025727177,0.00029247714],"domain_scores_gemma":[0.9985835,0.0009634549,0.00024298312,0.00015704498,0.0000053322096,0.000047680765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018454244,0.00009566266,0.00024394025,0.00020552885,0.00029538543,0.00007773047,0.00022173583,0.00003613317,0.00000405631],"category_scores_gemma":[0.00015645045,0.00006834198,0.000031178606,0.0002797116,0.0006332802,0.00047804328,0.0002003994,0.00007702526,0.0000061276182],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000074443387,0.0000018284273,0.58864856,0.000017691405,0.000002909034,2.07554e-7,0.00008320218,0.0003837798,1.34627465e-8,0.40889573,8.6767284e-7,0.0019577583],"study_design_scores_gemma":[0.00027820314,0.0000109845605,0.653135,0.000020578722,0.0000049733317,5.6360705e-7,0.00018778701,0.01954157,5.729489e-7,0.3262973,0.00045027328,0.000072190815],"about_ca_topic_score_codex":0.00072177645,"about_ca_topic_score_gemma":0.00016533984,"teacher_disagreement_score":0.08259843,"about_ca_system_score_codex":0.000045743855,"about_ca_system_score_gemma":0.000006226512,"threshold_uncertainty_score":0.2786905},"labels":[],"label_agreement":null},{"id":"W4400830124","doi":"10.15396/eres2024-088","title":"Price Impact of Climate Risk on Commercial Real Estate","year":2024,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Real Estate Research Institute","keywords":"Real estate; Business; Natural resource economics; Environmental science; Computer science; Economics; Finance","score_opus":0.023886746944322575,"score_gpt":0.2584820147065034,"score_spread":0.23459526776218081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400830124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5073355,0.000021413676,0.00011626764,0.000042190914,0.00028328417,0.00004955412,0.00019080615,0.00004804786,0.49191293],"genre_scores_gemma":[0.9828554,0.016415045,0.00026441735,0.000023567827,0.00010893641,0.0000033482886,0.000013447108,0.0000299739,0.00028587313],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989525,0.000011209927,0.00047394828,0.00027106583,0.000014697556,0.00027659812],"domain_scores_gemma":[0.999418,0.0001128621,0.00015441056,0.00023959593,0.000008836588,0.00006628979],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00061715895,0.00012816442,0.000311681,0.00021623247,0.000055581255,0.00008762562,0.00012409379,0.00007080838,0.0010151131],"category_scores_gemma":[0.000033251803,0.00012548701,0.00022754424,0.00015830476,0.00003452745,0.0001537737,0.00004271793,0.00014471942,0.0013589227],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002922761,0.0002494929,0.46729556,0.00017916366,0.00036904504,0.000016834994,0.0020334993,0.0021470669,0.000013383982,0.19566974,0.008335659,0.3233983],"study_design_scores_gemma":[0.0013385987,0.001198129,0.7457252,0.00009820071,0.00004500444,0.000009705726,0.00013553092,0.12931295,0.00011308305,0.026493296,0.094345525,0.0011847509],"about_ca_topic_score_codex":0.003123056,"about_ca_topic_score_gemma":0.00013691129,"teacher_disagreement_score":0.49162707,"about_ca_system_score_codex":0.00014839508,"about_ca_system_score_gemma":0.000025811438,"threshold_uncertainty_score":0.9998981},"labels":[],"label_agreement":null},{"id":"W4400947741","doi":"10.1215/00703370-11482174","title":"New Evidence From Census 2020 on the Residential Segregation of Same-Sex Households: A Research Note","year":2024,"lang":"en","type":"article","venue":"Demography","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Census; Geography; Demography; Demographic economics; Research methodology; Demographic analysis; Population; Socioeconomics; Sociology; Economics","score_opus":0.10334107633780876,"score_gpt":0.29717576415946384,"score_spread":0.19383468782165508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400947741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9603345,0.0066873394,0.001793788,0.0052442383,0.0014497292,0.00037060078,0.0003047428,0.00011510614,0.023699995],"genre_scores_gemma":[0.9951524,0.0028923184,0.0008976173,0.00009080688,0.00047088193,0.000011838679,0.000015581658,0.0000385622,0.00042996975],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985557,0.0000695004,0.0005049506,0.000480367,0.00009376898,0.00029567038],"domain_scores_gemma":[0.99822736,0.0010201364,0.00012878487,0.00051350595,0.000029848947,0.00008035275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016594534,0.00013330263,0.00026075033,0.00038702064,0.00013875803,0.00026346362,0.00038928926,0.00012737952,0.00032263488],"category_scores_gemma":[0.00029409802,0.00012395313,0.0002077989,0.00082751544,0.00011245015,0.00022669316,0.000082299855,0.00037476173,0.00041138972],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047245878,0.00014079762,0.109946534,0.00022675257,0.00054992764,0.00005475042,0.0058206,0.0005143367,0.00078315753,0.31527433,0.44396257,0.12225376],"study_design_scores_gemma":[0.0006379871,0.00034860242,0.09708399,0.0009917727,0.00004978474,0.000004223765,0.00035333444,0.015507099,0.0024807127,0.67070353,0.21103904,0.00079994294],"about_ca_topic_score_codex":0.0035092481,"about_ca_topic_score_gemma":0.0002301661,"teacher_disagreement_score":0.35542917,"about_ca_system_score_codex":0.00005595718,"about_ca_system_score_gemma":0.000057153924,"threshold_uncertainty_score":0.5304957},"labels":[],"label_agreement":null},{"id":"W4401078547","doi":"10.5198/jtlu.2024.2447","title":"Modeling home property listings’ time-on-market duration and listing outcome using copula-based competing risk method","year":2024,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Copula (linguistics); Duration (music); Outcome (game theory); Listing (finance); Econometrics; Nested logit; Economics; Computer science; Actuarial science; Microeconomics; Finance","score_opus":0.05960209673186569,"score_gpt":0.2592721332770811,"score_spread":0.1996700365452154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401078547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95875394,0.000466719,0.03940015,0.00013159713,0.00028176064,0.00007954343,0.000054537497,0.000022558583,0.00080921],"genre_scores_gemma":[0.98058355,0.0002596035,0.01873572,0.000062884006,0.00019615922,6.4574533e-7,0.0000063093594,0.00003106993,0.00012406206],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984388,0.000031141997,0.0010680117,0.00023088463,0.00004274816,0.00018843437],"domain_scores_gemma":[0.9991646,0.00020975183,0.0003988934,0.00008663753,0.000039047936,0.00010108505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023713298,0.00016149963,0.0004798557,0.00027032217,0.00017493159,0.0002560108,0.00006511688,0.00008778114,0.00005485697],"category_scores_gemma":[0.00014042991,0.0001268145,0.00011613093,0.000098039425,0.000023269005,0.00042612266,0.000008367443,0.00030275658,0.0000025724266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022814881,0.00004184304,0.9500986,0.00031266973,0.00010297279,0.00006259862,0.0007300991,0.043044705,0.000038789734,0.00021678547,0.000023389794,0.0050994027],"study_design_scores_gemma":[0.0005241873,0.000069816604,0.012706829,0.00030020328,0.00006689609,0.000043158274,0.000030459045,0.98417616,0.000004753781,0.00052373874,0.0013441922,0.00020960228],"about_ca_topic_score_codex":0.00039933657,"about_ca_topic_score_gemma":0.000040581803,"teacher_disagreement_score":0.9411315,"about_ca_system_score_codex":0.000050322713,"about_ca_system_score_gemma":0.00003072069,"threshold_uncertainty_score":0.51713455},"labels":[],"label_agreement":null},{"id":"W4401080198","doi":"10.3368/le.101.1.030423-0019r1","title":"Hurricane-Induced Discharges from Superfund Sites: A Hedonic Price Analysis of Real Estate Market Responses","year":2024,"lang":"en","type":"article","venue":"Land Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Superfund; Real estate; Residential real estate; Hazardous waste; Business; Hazard; Environmental science; Finance; Engineering; Waste management","score_opus":0.03456641082210718,"score_gpt":0.23993744895287397,"score_spread":0.2053710381307668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401080198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9135042,0.00036415298,0.000108543354,0.00037329126,0.00058335555,0.00013681705,0.0018719228,0.00009120481,0.08296651],"genre_scores_gemma":[0.98480076,0.013077504,0.00036679854,0.000064577594,0.00019593189,0.000018079714,0.00025087452,0.00006476013,0.0011607055],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99755305,0.000038238635,0.0011133034,0.00079971744,0.000023973593,0.00047172734],"domain_scores_gemma":[0.99831015,0.0005359514,0.00033266316,0.00064450304,0.00001599463,0.00016074331],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008825007,0.00029969972,0.0010570495,0.00089212717,0.000096199336,0.00029597944,0.0003586463,0.00018664595,0.0024995033],"category_scores_gemma":[0.00007055782,0.00034116377,0.0004424641,0.0005074735,0.00005940459,0.000453683,0.000116480114,0.00019961664,0.00039685398],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042914914,0.0001523388,0.9700491,0.0001268724,0.004079168,0.00002373888,0.002778144,0.0016491124,0.000099206736,0.012979732,0.0010263412,0.0066070836],"study_design_scores_gemma":[0.0013129622,0.0002551171,0.36140776,0.00007157991,0.0010098711,0.000008332584,0.0005850037,0.51393247,0.00025468267,0.021053307,0.098260134,0.0018487801],"about_ca_topic_score_codex":0.004642967,"about_ca_topic_score_gemma":0.0031903484,"teacher_disagreement_score":0.6086413,"about_ca_system_score_codex":0.0002450465,"about_ca_system_score_gemma":0.0000869105,"threshold_uncertainty_score":0.99990404},"labels":[],"label_agreement":null},{"id":"W4401219365","doi":"10.1108/ijhma-05-2024-0062","title":"Navigating real estate purchase decisions: an interplay of influential factors","year":2024,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of the Fraser Valley","funders":"","keywords":"Real estate; Business; Residential real estate; Financial economics; Actuarial science; Real estate investment trust; Finance; Economics","score_opus":0.021609765120591477,"score_gpt":0.3030345465642704,"score_spread":0.28142478144367894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401219365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9882528,0.0003030487,0.0075476714,0.0001724265,0.00081900315,0.000024130984,0.0000725256,0.0000127920575,0.0027955994],"genre_scores_gemma":[0.9933626,0.0044655227,0.0019098753,0.000026470287,0.00017919061,3.8853264e-7,0.000019792365,0.00001910334,0.000017051987],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99834406,0.000029362394,0.0011537342,0.0002257459,0.00010415255,0.00014296376],"domain_scores_gemma":[0.9987166,0.00020337082,0.00066288345,0.00012474885,0.00018593711,0.000106463616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012019257,0.00013671916,0.00047060856,0.00088152423,0.000056426466,0.0003658923,0.00028641158,0.00006343126,0.0001975224],"category_scores_gemma":[0.0002669245,0.00012984428,0.00036128602,0.0003944469,0.0000723054,0.0006692601,0.00007795025,0.0002302716,0.0000032364048],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029840064,0.00019202182,0.28299296,0.00003235932,0.0049939486,0.00017845164,0.0041143857,0.0030158504,0.00026072594,0.0024645973,0.000077397824,0.7013789],"study_design_scores_gemma":[0.0032326258,0.0008025822,0.24584097,0.0019534074,0.0023759732,0.0002950458,0.0049065403,0.6737847,0.0009835103,0.028544592,0.035370644,0.0019094172],"about_ca_topic_score_codex":0.00039736475,"about_ca_topic_score_gemma":0.000055729644,"teacher_disagreement_score":0.6994695,"about_ca_system_score_codex":0.00009251142,"about_ca_system_score_gemma":0.00003644722,"threshold_uncertainty_score":0.52948964},"labels":[],"label_agreement":null},{"id":"W4401244332","doi":"10.3390/jrfm17080336","title":"Extended Least Squares Making Evident Nonlinear Relationships between Variables: Portfolios of Financial Assets","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Econometrics; Nonlinear system; Non-linear least squares; Mathematics; Partial least squares regression; Economics; Actuarial science; Statistics; Explained sum of squares; Physics","score_opus":0.029775719693589418,"score_gpt":0.2417312335800179,"score_spread":0.2119555138864285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401244332","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.844416,0.009105813,0.12614898,0.0002747166,0.0026702066,0.00037951412,0.00029376207,0.000041401534,0.016669586],"genre_scores_gemma":[0.9881307,0.0056730285,0.005345787,0.000023005146,0.0006926462,0.0000032285466,0.000005258381,0.000023587956,0.00010274132],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980874,0.00003735061,0.0012919962,0.00026173436,0.00007824844,0.00024325796],"domain_scores_gemma":[0.99876153,0.00014366109,0.0007868778,0.00017841824,0.000049794584,0.00007970709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002179322,0.0001742183,0.0005683215,0.00066038274,0.00015503919,0.0001356615,0.00019951747,0.0001348556,0.00004942268],"category_scores_gemma":[0.00035073445,0.00018591947,0.00021438945,0.0003196247,0.000054745065,0.00038041233,0.00010061031,0.00042074543,0.000024624207],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018623621,0.00019504172,0.40732583,0.0006858141,0.00019097909,0.00017273852,0.0015784533,0.0005325131,0.000002150211,0.25237682,0.0040463116,0.33270708],"study_design_scores_gemma":[0.00082142174,0.00023517609,0.64445287,0.00070934894,0.00021357207,0.000028630631,0.00019675933,0.0015051976,0.000008218042,0.12425339,0.2271791,0.00039634536],"about_ca_topic_score_codex":0.000035383884,"about_ca_topic_score_gemma":0.000017120195,"teacher_disagreement_score":0.33231074,"about_ca_system_score_codex":0.00010319329,"about_ca_system_score_gemma":0.00005922965,"threshold_uncertainty_score":0.7581576},"labels":[],"label_agreement":null},{"id":"W4401493616","doi":"10.1093/rof/rfae025","title":"Cash is king? Understanding financing risk in housing markets","year":2024,"lang":"en","type":"article","venue":"European Finance Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; National Science Foundation","keywords":"Cash; Business; Finance; Financial system; Economics","score_opus":0.06237691438919228,"score_gpt":0.24103746001916027,"score_spread":0.17866054562996797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401493616","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039787944,0.38005698,0.0054805614,0.0011626204,0.0014915604,0.00048157672,0.00007269562,0.00020902237,0.57125705],"genre_scores_gemma":[0.5721203,0.42589954,0.0005443026,0.0007042737,0.00014632991,0.0000066568095,0.0000051218535,0.00009183273,0.0004816408],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974679,0.0001114384,0.0010857576,0.0007693672,0.0000387599,0.00052682945],"domain_scores_gemma":[0.9989812,0.00010425526,0.00034702406,0.00050035166,0.000009666082,0.000057541136],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0034627556,0.00028682244,0.00068393216,0.00028984688,0.00015044172,0.00022533546,0.00030899438,0.000057031513,0.00034082565],"category_scores_gemma":[0.00022618109,0.00034005017,0.0002401465,0.0006917114,0.00005238221,0.00041188818,0.00013079068,0.0004365766,0.0026489103],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036842343,0.00015075467,0.077731274,0.015602558,0.00013435513,0.0015169432,0.0023715873,0.00022861334,0.0000055794912,0.15257382,0.055623494,0.6940242],"study_design_scores_gemma":[0.00026222286,0.000023898181,0.011793419,0.010286175,0.000025073809,0.000028342163,0.00002208112,0.0044811396,0.0000030747262,0.008268539,0.96414065,0.0006654083],"about_ca_topic_score_codex":0.000088729124,"about_ca_topic_score_gemma":0.000037786747,"teacher_disagreement_score":0.9085171,"about_ca_system_score_codex":0.0005482552,"about_ca_system_score_gemma":0.000040344603,"threshold_uncertainty_score":0.99990517},"labels":[],"label_agreement":null},{"id":"W4401510918","doi":"10.3390/jrfm17080349","title":"One Man’s Bubble Is Another Man’s Rational Behavior: Comparing Alternative Macroeconomic Hypotheses for the US Housing Market","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Bubble; Economic bubble; Financial economics; Econometrics; Monetary economics; Macroeconomics; Computer science","score_opus":0.034584387720089205,"score_gpt":0.22983008285257484,"score_spread":0.19524569513248563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401510918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82630205,0.0075431587,0.13455777,0.0010815016,0.0034353232,0.0008448649,0.00029364607,0.000034336146,0.025907379],"genre_scores_gemma":[0.9852483,0.010204263,0.002633554,0.00042764947,0.0006937447,0.000032398642,0.0000020589396,0.000039345607,0.0007186476],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99873203,0.000013921979,0.0007001133,0.00026432725,0.000045431218,0.00024415416],"domain_scores_gemma":[0.99917066,0.0001583979,0.0004415066,0.0001537194,0.000029717941,0.000045997556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010260337,0.00016338327,0.00039501747,0.00029364362,0.00024725663,0.00036135915,0.00022854214,0.0000572776,0.00020965908],"category_scores_gemma":[0.000029772393,0.00015691032,0.00020689939,0.00008388873,0.000064225846,0.0003127283,0.00008847303,0.00018913492,0.000034307293],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009037868,0.00042684728,0.20742346,0.0004796018,0.0009736653,0.000078079494,0.0033938475,0.002743601,0.0000075094604,0.15623501,0.04021689,0.5871177],"study_design_scores_gemma":[0.0012972165,0.00012916994,0.17169164,0.00014619576,0.00024038217,0.000017736369,0.00016997359,0.022061056,0.000029466211,0.047243763,0.75658286,0.00039056852],"about_ca_topic_score_codex":0.00009373608,"about_ca_topic_score_gemma":0.000076430464,"teacher_disagreement_score":0.71636593,"about_ca_system_score_codex":0.00017042368,"about_ca_system_score_gemma":0.000022074477,"threshold_uncertainty_score":0.6398617},"labels":[],"label_agreement":null},{"id":"W4401548145","doi":"10.2139/ssrn.4922845","title":"Racial Housing Price Differentials and Neighborhood Segregation","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Economics; Demographic economics; Environmental science","score_opus":0.011592754379178304,"score_gpt":0.2081514785356986,"score_spread":0.1965587241565203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401548145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88476074,0.014418605,0.06519871,0.0009985156,0.0015570588,0.00013490413,0.000010836849,0.00010272442,0.032817896],"genre_scores_gemma":[0.98804235,0.010611151,0.000075986485,0.000047900172,0.0005541522,0.0000023421355,0.0000040220175,0.00003682312,0.0006252904],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99815464,0.000017859154,0.0004335783,0.00027423308,0.000028448254,0.0010912156],"domain_scores_gemma":[0.99961436,0.000042229618,0.00015812369,0.00010165311,0.000013743753,0.000069880814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014204477,0.00014146733,0.00024701614,0.00024359733,0.00020508839,0.00046338112,0.000113647315,0.00009310931,0.000101791054],"category_scores_gemma":[0.00004078812,0.00015443841,0.00009707762,0.00014274483,0.00003081594,0.00043893594,0.000034974466,0.0007936736,0.00013944696],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017933946,0.000020375011,0.0058070533,0.000020266414,0.00012465245,0.000003041052,0.00035623915,0.000014380708,0.00003286602,0.9095235,0.000047073787,0.08403262],"study_design_scores_gemma":[0.00032294987,0.00009658,0.0011441048,0.000025381605,0.000017373564,0.00012593828,0.00015970097,0.0072970213,0.000013100154,0.98474234,0.0058214124,0.00023412053],"about_ca_topic_score_codex":0.000033369543,"about_ca_topic_score_gemma":0.0001682959,"teacher_disagreement_score":0.10328159,"about_ca_system_score_codex":0.00060536433,"about_ca_system_score_gemma":0.00027604448,"threshold_uncertainty_score":0.6297816},"labels":[],"label_agreement":null},{"id":"W4401576849","doi":"10.2139/ssrn.4925894","title":"Capital Structure, the Adjusted Present Value, and Mortgage Choice","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Value (mathematics); Capital structure; Loan-to-value ratio; Mortgage underwriting; Economics; Econometrics; Finance; Mortgage insurance; Mathematics; Statistics","score_opus":0.016670838159609663,"score_gpt":0.2209615842222065,"score_spread":0.20429074606259684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401576849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9224376,0.053971272,0.00030930943,0.0026589932,0.0028851337,0.00036531026,0.00016635664,0.000060982933,0.017145034],"genre_scores_gemma":[0.9690918,0.02650523,0.00005279428,0.00011700789,0.001834307,0.000011790313,0.00002334762,0.00009526713,0.0022684543],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965254,0.000052136646,0.00083028624,0.000651552,0.00006614431,0.0018744777],"domain_scores_gemma":[0.99865377,0.00009507507,0.00058546907,0.0005122338,0.00003109921,0.00012232923],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0020262592,0.0003998425,0.00059500465,0.0002818631,0.00028913838,0.00066631415,0.0006543039,0.0003533139,0.00015661205],"category_scores_gemma":[0.000097332864,0.0003485756,0.00028188177,0.00011920337,0.00011336966,0.00011945003,0.0008133908,0.006573755,0.00011177599],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037013237,0.00004578681,0.009270994,0.00019041025,0.0013655612,0.000012208769,0.0010080579,0.0015103903,0.0000055318337,0.96595037,0.00143613,0.019167542],"study_design_scores_gemma":[0.00030805086,0.000061090854,0.0035258792,0.0000435023,0.0000788215,0.00023206539,0.00030836873,0.0065923994,0.00000328297,0.97519016,0.013234031,0.00042231797],"about_ca_topic_score_codex":0.0010445871,"about_ca_topic_score_gemma":0.0015473766,"teacher_disagreement_score":0.046654195,"about_ca_system_score_codex":0.0011686088,"about_ca_system_score_gemma":0.000869918,"threshold_uncertainty_score":0.99989665},"labels":[],"label_agreement":null},{"id":"W4401594002","doi":"10.3992/jgb.19.3.139","title":"INCENTIVIZING LANDLORD ENGAGEMENT IN A CLEAN ENERGY TRANSITION IN NOVA SCOTIA, CANADA: A CASE STUDY OF ENERGIZE BRIDGEWATER","year":2024,"lang":"en","type":"article","venue":"Journal of Green Building","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Nova scotia; Landlord; Nova (rocket); Clean energy; Engineering; Political science; Architectural engineering; Aeronautics; Geography; Archaeology; Environmental engineering; Law","score_opus":0.03442038707393752,"score_gpt":0.23340078919857138,"score_spread":0.19898040212463386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401594002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974492,0.00038094827,0.0009642266,0.00022652137,0.000536349,0.00006510063,0.000008116986,0.0000035897006,0.0003659036],"genre_scores_gemma":[0.9995182,0.00007471637,0.00018680791,0.000051392053,0.00013329236,9.817411e-7,7.339262e-7,0.000019881365,0.000013999607],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99842286,0.00004817886,0.0010825343,0.00018465715,0.00005031502,0.00021148294],"domain_scores_gemma":[0.99946207,0.00007493646,0.00029334793,0.000099585784,0.000020853238,0.00004922095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014852984,0.00011445289,0.00043415366,0.0007885347,0.00002710187,0.000054634595,0.000121752375,0.000044709992,0.00004139632],"category_scores_gemma":[0.000019448993,0.00012724454,0.0000744769,0.0003267003,0.00001162977,0.00030315534,0.000035498597,0.00024306515,9.2829146e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004073934,0.0012964478,0.77543336,0.00049892697,0.00058886554,0.027246282,0.028845554,0.041778486,0.00056686596,0.0040203864,0.0007218832,0.11859553],"study_design_scores_gemma":[0.03837969,0.0049180454,0.36166593,0.0075187352,0.0004792544,0.01179784,0.07685711,0.4353979,0.006159334,0.014285356,0.036983307,0.0055575003],"about_ca_topic_score_codex":0.85051644,"about_ca_topic_score_gemma":0.9296719,"teacher_disagreement_score":0.41376746,"about_ca_system_score_codex":0.0005203578,"about_ca_system_score_gemma":0.00010777641,"threshold_uncertainty_score":0.5188882},"labels":[],"label_agreement":null},{"id":"W4401639263","doi":"10.1111/1540-6229.12509","title":"Do immigrants equally benefit from rent control?","year":2024,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Immigration; Leasehold estate; Economics; Rent-seeking; Demographic economics; Economic rent; Labour economics; Microeconomics; Geography; Political science","score_opus":0.02176418499178566,"score_gpt":0.2148040759336239,"score_spread":0.19303989094183827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401639263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7440562,0.00074613636,0.0007718261,0.0005363443,0.0023350755,0.00020941178,0.0015428006,0.00021403746,0.24958816],"genre_scores_gemma":[0.9569361,0.040551048,0.0005468532,0.00021373155,0.00060464063,0.000028884228,0.0001663326,0.00012718335,0.00082523667],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971455,0.0000142275,0.0012018173,0.0009898436,0.000022807733,0.0006258561],"domain_scores_gemma":[0.99858516,0.00024371404,0.00029242077,0.0006206283,0.000019228068,0.00023881995],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00071692764,0.0003664816,0.00076678436,0.00030308648,0.00012417718,0.0006873952,0.00040517427,0.00021993613,0.00085865235],"category_scores_gemma":[0.000032097374,0.00045553053,0.000319521,0.00012712074,0.00007804643,0.00057963625,0.00009154013,0.0002775185,0.0047927476],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030823375,0.00018490672,0.0329433,0.00013823336,0.00090079784,0.00009486447,0.0031245877,0.008540619,0.000043629138,0.43718025,0.0033082298,0.51323235],"study_design_scores_gemma":[0.0024103888,0.00019082287,0.019668413,0.00011772873,0.00007741524,0.00001887767,0.00029821013,0.19845739,0.00006391636,0.29614457,0.4806806,0.0018716442],"about_ca_topic_score_codex":0.0054885414,"about_ca_topic_score_gemma":0.0010465713,"teacher_disagreement_score":0.5113607,"about_ca_system_score_codex":0.00047880365,"about_ca_system_score_gemma":0.00007589418,"threshold_uncertainty_score":0.99978966},"labels":[],"label_agreement":null},{"id":"W4401691354","doi":"10.2139/ssrn.4929534","title":"Nar Settlement, House Prices, and Consumer Welfare","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Settlement (finance); Welfare; Consumer welfare; Business; Economics; Agricultural economics; Market economy; Finance","score_opus":0.011946552407832272,"score_gpt":0.20773228053602108,"score_spread":0.1957857281281888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401691354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75138444,0.13926826,0.009863183,0.013657489,0.0029608123,0.00038045886,0.00015859389,0.0004454059,0.08188136],"genre_scores_gemma":[0.9572915,0.040842462,0.000136557,0.00011063168,0.00025937968,0.0000042129323,0.000004779402,0.000060594008,0.0012898911],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979462,0.000011052517,0.000426356,0.0003011229,0.000025891928,0.0012893715],"domain_scores_gemma":[0.9995951,0.000027524111,0.00013278284,0.00014197352,0.000012280403,0.00009034904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015897135,0.00015206612,0.0002416751,0.000234486,0.00021878834,0.00032484083,0.0001558333,0.000081982005,0.0002546759],"category_scores_gemma":[0.000028689718,0.00016428868,0.00009484503,0.0001294292,0.000047327903,0.00033027993,0.00004421189,0.0009173761,0.00043545535],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015463233,0.000023475364,0.013190521,0.00003132042,0.00024493292,0.000009561383,0.00022616943,0.0000081049375,0.000004590625,0.9533892,0.0010098148,0.031846806],"study_design_scores_gemma":[0.0004351367,0.00010919406,0.0010092162,0.000021257427,0.000020944584,0.00039939996,0.0004359508,0.0009785544,0.0000049175615,0.37759948,0.6186721,0.0003138872],"about_ca_topic_score_codex":0.000062382474,"about_ca_topic_score_gemma":0.00022225307,"teacher_disagreement_score":0.61766225,"about_ca_system_score_codex":0.0005681014,"about_ca_system_score_gemma":0.00023171165,"threshold_uncertainty_score":0.6699498},"labels":[],"label_agreement":null},{"id":"W4401696907","doi":"10.2139/ssrn.4930091","title":"Limits of a Single Surrogate Model Development Methodology to Represent Housing Stocks","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Surrogate model; Business; Econometrics; Computer science; Risk analysis (engineering); Economics; Machine learning","score_opus":0.12400428293839202,"score_gpt":0.29145429087098595,"score_spread":0.16745000793259393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401696907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7655606,0.007216232,0.20428288,0.0012213729,0.0020960423,0.00043323316,0.00004429319,0.00007847087,0.019066822],"genre_scores_gemma":[0.9694927,0.0034742292,0.024463367,0.00010262763,0.00036037515,0.000026944648,0.000013258491,0.00013856904,0.0019279583],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99499744,0.0000854351,0.0017254375,0.00086243177,0.000079551646,0.002249691],"domain_scores_gemma":[0.9980392,0.00011133736,0.0010132561,0.00055985694,0.000094469884,0.00018191618],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0071090115,0.00042250706,0.00118165,0.00092492334,0.00014163023,0.00018008839,0.0006884659,0.00042584242,0.000036498746],"category_scores_gemma":[0.00030676607,0.0005059228,0.00039969003,0.00021554645,0.000050444414,0.00008295362,0.0009096456,0.00321602,0.00017335606],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053368154,0.000608219,0.0035212652,0.0007001618,0.0033735728,0.00003145037,0.009046905,0.3431276,0.0007536709,0.4997135,0.0009042183,0.13768573],"study_design_scores_gemma":[0.00033212616,0.00015389752,0.000055059532,0.00019092356,0.000053079657,0.00007189424,0.00032120882,0.015554607,0.000537417,0.97928816,0.0027963512,0.0006452924],"about_ca_topic_score_codex":0.00018823723,"about_ca_topic_score_gemma":0.0012701789,"teacher_disagreement_score":0.47957462,"about_ca_system_score_codex":0.0033330687,"about_ca_system_score_gemma":0.0028906052,"threshold_uncertainty_score":0.9997392},"labels":[],"label_agreement":null},{"id":"W4401758811","doi":"10.3390/jrfm17080375","title":"Hedonic Models Incorporating Environmental, Social, and Governance Factors for Time Series of Average Annual Home Prices","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Series (stratigraphy); Corporate governance; Econometrics; Economics; Agricultural economics; Environmental science; Finance","score_opus":0.011645287976848011,"score_gpt":0.1847237097232897,"score_spread":0.17307842174644167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401758811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97627956,0.0048887366,0.0164077,0.00009272174,0.0003563611,0.00016133317,0.0005321212,0.000008325674,0.0012731418],"genre_scores_gemma":[0.9834379,0.01413977,0.002069332,0.000014710291,0.00013993391,0.0000030048536,0.0000032515886,0.000017093853,0.00017499368],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990434,0.0000072370585,0.0005860065,0.00018031317,0.000037055954,0.0001459655],"domain_scores_gemma":[0.9992326,0.000055505894,0.00060126017,0.000061981606,0.000009363772,0.000039271927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052572,0.00012741986,0.00038813843,0.0001352847,0.00012949879,0.00008606129,0.00009425665,0.00006168167,0.000014659497],"category_scores_gemma":[0.000019148561,0.000130533,0.0001089531,0.00007157684,0.000075987955,0.00064170506,0.00007795958,0.00010678517,0.0000027702508],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006122928,0.00032599663,0.06605194,0.0016968818,0.00046838867,0.00005692965,0.014891981,0.0027577367,0.000039085673,0.64158607,0.0031375894,0.2683751],"study_design_scores_gemma":[0.002339812,0.0010230057,0.24183619,0.00030998565,0.00021195885,0.000025402553,0.0018255166,0.018998865,0.000052279705,0.54530287,0.18706518,0.0010089534],"about_ca_topic_score_codex":0.000015947731,"about_ca_topic_score_gemma":0.0000053115646,"teacher_disagreement_score":0.26736614,"about_ca_system_score_codex":0.00006649004,"about_ca_system_score_gemma":0.00001228402,"threshold_uncertainty_score":0.53229815},"labels":[],"label_agreement":null},{"id":"W4401777663","doi":"10.1108/ijhma-04-2024-0049","title":"Exploring housing supply dynamics and temporal modelling of residential construction activities","year":2024,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hudbay Minerals (Canada); University of Toronto","funders":"","keywords":"Dynamics (music); Business; Economics; Sociology","score_opus":0.04645804547668086,"score_gpt":0.23161218810397322,"score_spread":0.18515414262729235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401777663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89809275,0.0010556285,0.09845893,0.00027415017,0.00085513573,0.000020971023,0.00004672495,0.0000106819025,0.001185028],"genre_scores_gemma":[0.988469,0.005603714,0.0056228368,0.000009811037,0.00023429486,5.691458e-7,0.000009152336,0.000017981392,0.000032610456],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988053,0.000020910813,0.0007660589,0.00019878962,0.00008527096,0.00012369442],"domain_scores_gemma":[0.9991833,0.00010834659,0.0005018694,0.00007277863,0.00007932685,0.000054397904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007968511,0.0001203559,0.0004284363,0.0016477336,0.00006919448,0.00038370254,0.00011492299,0.000049162674,0.000056258545],"category_scores_gemma":[0.000033396274,0.00013088025,0.00021824146,0.00028643623,0.00010724705,0.00096599857,0.000059009493,0.00015118885,5.697947e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005295436,0.000099382436,0.7073734,0.00021886488,0.0076237065,0.00016857524,0.0019975037,0.027824983,0.00012076214,0.043441802,0.00006116221,0.21054034],"study_design_scores_gemma":[0.00039371027,0.000043370914,0.007877334,0.0002615055,0.00040567413,0.00010095916,0.00088845455,0.9799842,0.00012125425,0.008965394,0.0006920187,0.00026611693],"about_ca_topic_score_codex":0.00028158576,"about_ca_topic_score_gemma":0.00007280448,"teacher_disagreement_score":0.9521592,"about_ca_system_score_codex":0.00012231217,"about_ca_system_score_gemma":0.000032198644,"threshold_uncertainty_score":0.5337141},"labels":[],"label_agreement":null},{"id":"W4401854271","doi":"10.1016/j.euroecorev.2024.104836","title":"Learning from Friends in a Pandemic: Social networks and the macroeconomic response of consumption","year":2024,"lang":"en","type":"article","venue":"European Economic Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Economics; Consumption (sociology); Pandemic; Microeconomics; Coronavirus disease 2019 (COVID-19); Monetary economics; Public economics; Sociology; Medicine; Social science","score_opus":0.040692024602278304,"score_gpt":0.24993723393870654,"score_spread":0.20924520933642823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401854271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8212235,0.13974515,0.00027964255,0.0009831071,0.00066170713,0.00039824055,0.00005361576,0.000072000614,0.036583018],"genre_scores_gemma":[0.7939484,0.20531237,0.000028577444,0.0002543919,0.00017724227,0.000012668982,0.000017650524,0.000045818622,0.00020288989],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975424,0.00042843437,0.0012735766,0.00049606524,0.00001098927,0.00024854092],"domain_scores_gemma":[0.99873805,0.00054356956,0.00041949964,0.0002477148,0.0000046335986,0.000046504876],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0060587395,0.00019671011,0.0007846115,0.00014744948,0.00008671272,0.00013073608,0.0002511171,0.000059380603,0.00062117825],"category_scores_gemma":[0.00009306047,0.0001907301,0.00019827331,0.0000713891,0.00024195897,0.00021785616,0.00013776295,0.00034338483,0.001070082],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023783548,0.00008858268,0.40972838,0.0032950584,0.0009927351,0.00007152513,0.007848582,0.004782918,0.000022354885,0.14013663,0.007892742,0.42276216],"study_design_scores_gemma":[0.00472885,0.00011122092,0.19819902,0.0029556877,0.00016063997,0.0000545958,0.00014609753,0.12549008,0.0000033030544,0.007334062,0.65955263,0.0012637876],"about_ca_topic_score_codex":0.00011558762,"about_ca_topic_score_gemma":0.000033747987,"teacher_disagreement_score":0.6516599,"about_ca_system_score_codex":0.00017820536,"about_ca_system_score_gemma":0.000025989892,"threshold_uncertainty_score":0.9997077},"labels":[],"label_agreement":null},{"id":"W4402062949","doi":"10.1177/00104140241269896","title":"Cause for Celebration or Concern? Voter Reactions to Rising House Prices","year":2024,"lang":"en","type":"article","venue":"Comparative Political Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"House price; Voter turnout; Voter model; Advertising; Economics; Political science; Demographic economics; Business; Politics; Econometrics; Statistics; Voting; Law","score_opus":0.31390728774027754,"score_gpt":0.3936382123761914,"score_spread":0.07973092463591386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402062949","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7903619,0.005376196,0.083937146,0.019530468,0.0045817825,0.0017457939,0.00057135464,0.0007831198,0.093112245],"genre_scores_gemma":[0.9956594,0.00012654462,0.0018000368,0.00042819348,0.00045962803,0.00013033817,0.0000049775495,0.00002763772,0.001363256],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987099,0.000011746459,0.00047515592,0.000382601,0.000020518444,0.00040008628],"domain_scores_gemma":[0.9989903,0.00062359683,0.00006326655,0.00014027563,0.000059582748,0.00012298007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024446833,0.00015853894,0.00044271653,0.00014551306,0.00023197307,0.00020627306,0.00008770645,0.00004881107,0.00006742973],"category_scores_gemma":[0.00026923497,0.00014443947,0.0000910832,0.00015772173,0.00011177708,0.00024877297,0.000060885366,0.0000944103,0.0007142399],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060463455,0.000046917456,0.0011826166,0.00012515452,0.00031982962,0.0000029712962,0.004698446,0.000072976036,0.000014447219,0.9775892,0.015571939,0.00031505653],"study_design_scores_gemma":[0.0005257268,0.00039578739,0.0033637139,0.00015122334,0.00006925573,0.0000070343813,0.00356994,0.0134793,0.0007063643,0.20153823,0.77548486,0.00070856407],"about_ca_topic_score_codex":0.000081391765,"about_ca_topic_score_gemma":0.00015261464,"teacher_disagreement_score":0.7760509,"about_ca_system_score_codex":0.00032248243,"about_ca_system_score_gemma":0.00002793191,"threshold_uncertainty_score":0.91803473},"labels":[],"label_agreement":null},{"id":"W4402166629","doi":"10.32920/26883352.v1","title":"Real Estate Growth Management Analysis of High Density Residential Mixed Use Development in the Toronto Region","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Growth management; Business; Residential real estate; Real estate development; Regional science; Real estate; Geography; Land use; Finance; Engineering; Civil engineering","score_opus":0.03434244785172196,"score_gpt":0.22085516815366876,"score_spread":0.1865127203019468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402166629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8996858,0.000054823417,0.0009212234,0.00022873118,0.0008386021,0.00034435143,0.000035927893,0.000037876747,0.097852655],"genre_scores_gemma":[0.98631454,0.009016469,0.0032085895,0.000044758177,0.000051261424,0.000045089488,0.00015826615,0.00003025639,0.0011308007],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99751365,0.000052725976,0.0012824283,0.0007860428,0.00006512015,0.00030000164],"domain_scores_gemma":[0.99857795,0.0000786503,0.00050414185,0.0007581908,0.000035101326,0.000045954428],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013793757,0.0002820222,0.00087125215,0.0007074036,0.000058191577,0.00028328187,0.00052320893,0.00021617304,0.00011578106],"category_scores_gemma":[0.000025999303,0.00027550446,0.00032249978,0.00037793972,0.00004324474,0.00013707578,0.0009792716,0.00027184462,0.000056344415],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041408645,0.0006337962,0.26599762,0.0018500593,0.0126540875,0.00038325854,0.016062248,0.0072355876,0.0000014342629,0.6501616,0.010350706,0.034255512],"study_design_scores_gemma":[0.000398583,0.00002033627,0.9393471,0.00008979768,0.00072047656,0.0000017022368,0.0006310209,0.0064636795,0.000041599156,0.048007138,0.0035299251,0.0007486682],"about_ca_topic_score_codex":0.1235609,"about_ca_topic_score_gemma":0.14564374,"teacher_disagreement_score":0.67334944,"about_ca_system_score_codex":0.0007521587,"about_ca_system_score_gemma":0.000046688234,"threshold_uncertainty_score":0.9999697},"labels":[],"label_agreement":null},{"id":"W4402206995","doi":"10.32920/26883352","title":"Real Estate Growth Management Analysis of High Density Residential Mixed Use Development in the Toronto Region","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Growth management; Estate; Business; Real estate development; Regional science; Real estate; Geography; Land use; Finance; Engineering; Civil engineering","score_opus":0.03434244785172196,"score_gpt":0.22085516815366876,"score_spread":0.1865127203019468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402206995","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8996858,0.000054823417,0.0009212234,0.00022873118,0.0008386021,0.00034435143,0.000035927893,0.000037876747,0.097852655],"genre_scores_gemma":[0.98631454,0.009016469,0.0032085895,0.000044758177,0.000051261424,0.000045089488,0.00015826615,0.00003025639,0.0011308007],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99751365,0.000052725976,0.0012824283,0.0007860428,0.00006512015,0.00030000164],"domain_scores_gemma":[0.99857795,0.0000786503,0.00050414185,0.0007581908,0.000035101326,0.000045954428],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013793757,0.0002820222,0.00087125215,0.0007074036,0.000058191577,0.00028328187,0.00052320893,0.00021617304,0.00011578106],"category_scores_gemma":[0.000025999303,0.00027550446,0.00032249978,0.00037793972,0.00004324474,0.00013707578,0.0009792716,0.00027184462,0.000056344415],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041408645,0.0006337962,0.26599762,0.0018500593,0.0126540875,0.00038325854,0.016062248,0.0072355876,0.0000014342629,0.6501616,0.010350706,0.034255512],"study_design_scores_gemma":[0.000398583,0.00002033627,0.9393471,0.00008979768,0.00072047656,0.0000017022368,0.0006310209,0.0064636795,0.000041599156,0.048007138,0.0035299251,0.0007486682],"about_ca_topic_score_codex":0.1235609,"about_ca_topic_score_gemma":0.14564374,"teacher_disagreement_score":0.67334944,"about_ca_system_score_codex":0.0007521587,"about_ca_system_score_gemma":0.000046688234,"threshold_uncertainty_score":0.9999697},"labels":[],"label_agreement":null},{"id":"W4402262360","doi":"10.32920/26883760","title":"Investigating a Deep Energy Retrofit Package for Nova Scotia's Affordable Housing Sector","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Affordable housing; Nova (rocket); Architectural engineering; Environmental science; Business; Engineering; Aeronautics; Geography; Civil engineering; Archaeology","score_opus":0.05102222935026715,"score_gpt":0.23358405040403774,"score_spread":0.18256182105377058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402262360","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36593553,0.0036442794,0.13504328,0.0015684096,0.01269011,0.0010396865,0.0009165597,0.0008156624,0.47834647],"genre_scores_gemma":[0.95706093,0.0002780802,0.035039436,0.00081944047,0.0017101153,0.000080221536,0.00028484841,0.00033237346,0.0043945312],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996336,0.00001744162,0.0013813656,0.0014022614,0.000045140652,0.0008178291],"domain_scores_gemma":[0.9979206,0.0001656551,0.000723748,0.00091492047,0.000056546025,0.00021853382],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001123229,0.0005905908,0.0011736123,0.00060634856,0.00013319409,0.0009151187,0.00056198373,0.00069629867,0.0009993773],"category_scores_gemma":[0.0002713545,0.00072987494,0.0005654867,0.00025737606,0.00010089106,0.0001626102,0.0011524091,0.00068075006,0.0006758089],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006747802,0.0001787131,0.029180149,0.004995646,0.0012264994,0.000023221552,0.0022842828,0.005358312,0.00020696227,0.9005782,0.028862307,0.027038226],"study_design_scores_gemma":[0.00070026313,0.00007813203,0.00018173367,0.0003791954,0.00006838429,0.0000063065527,0.00010982423,0.15823962,0.0008398125,0.7759749,0.06179028,0.0016315323],"about_ca_topic_score_codex":0.0041258642,"about_ca_topic_score_gemma":0.004866582,"teacher_disagreement_score":0.5911254,"about_ca_system_score_codex":0.00057625107,"about_ca_system_score_gemma":0.00016677969,"threshold_uncertainty_score":0.9999139},"labels":[],"label_agreement":null},{"id":"W4402263361","doi":"10.32920/26883760.v1","title":"Investigating a Deep Energy Retrofit Package for Nova Scotia's Affordable Housing Sector","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Nova (rocket); Affordable housing; Architectural engineering; Business; Engineering; Geography; Civil engineering; Aeronautics; Archaeology","score_opus":0.05102222935026715,"score_gpt":0.23358405040403774,"score_spread":0.18256182105377058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402263361","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36593553,0.0036442794,0.13504328,0.0015684096,0.01269011,0.0010396865,0.0009165597,0.0008156624,0.47834647],"genre_scores_gemma":[0.95706093,0.0002780802,0.035039436,0.00081944047,0.0017101153,0.000080221536,0.00028484841,0.00033237346,0.0043945312],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996336,0.00001744162,0.0013813656,0.0014022614,0.000045140652,0.0008178291],"domain_scores_gemma":[0.9979206,0.0001656551,0.000723748,0.00091492047,0.000056546025,0.00021853382],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001123229,0.0005905908,0.0011736123,0.00060634856,0.00013319409,0.0009151187,0.00056198373,0.00069629867,0.0009993773],"category_scores_gemma":[0.0002713545,0.00072987494,0.0005654867,0.00025737606,0.00010089106,0.0001626102,0.0011524091,0.00068075006,0.0006758089],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006747802,0.0001787131,0.029180149,0.004995646,0.0012264994,0.000023221552,0.0022842828,0.005358312,0.00020696227,0.9005782,0.028862307,0.027038226],"study_design_scores_gemma":[0.00070026313,0.00007813203,0.00018173367,0.0003791954,0.00006838429,0.0000063065527,0.00010982423,0.15823962,0.0008398125,0.7759749,0.06179028,0.0016315323],"about_ca_topic_score_codex":0.0041258642,"about_ca_topic_score_gemma":0.004866582,"teacher_disagreement_score":0.5911254,"about_ca_system_score_codex":0.00057625107,"about_ca_system_score_gemma":0.00016677969,"threshold_uncertainty_score":0.9999139},"labels":[],"label_agreement":null},{"id":"W4402341855","doi":"10.1007/978-981-97-5481-6_8","title":"What Implications Do Transformational Mobility and the Real Estate Market Hold for Cities in the Post-Pandemic Era?","year":2024,"lang":"en","type":"book-chapter","venue":"City development","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Transformational leadership; Pandemic; Real estate; Business; Coronavirus disease 2019 (COVID-19); Political science; Finance; Public relations; Medicine; Infectious disease (medical specialty)","score_opus":0.03974025967863118,"score_gpt":0.2271221518069103,"score_spread":0.18738189212827913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402341855","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044752024,0.0012189359,0.00017423318,0.0052214502,0.00068763347,0.0016318003,0.00062838,0.00004062364,0.9456449],"genre_scores_gemma":[0.49652684,0.22087456,0.0022850956,0.003749134,0.0006549105,0.0030558372,0.0018185967,0.0002754146,0.2707596],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985024,0.000010096222,0.00082650594,0.00039504367,0.000038191374,0.00022776939],"domain_scores_gemma":[0.9990337,0.00038967753,0.0002078755,0.0002916946,0.00003869071,0.00003837114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021967343,0.00024190766,0.00041066742,0.00017416892,0.00022638784,0.00046102723,0.00028910657,0.000179052,0.00018571336],"category_scores_gemma":[0.000025780158,0.00019101788,0.00013467946,0.000035949048,0.00020350092,0.00026139364,0.00006426095,0.00031548,0.000046095458],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019376609,0.000031365515,0.0030382979,0.00033363455,0.00019845957,8.938741e-7,0.019548252,0.000014895629,1.3762487e-7,0.8986236,0.0021736468,0.07584305],"study_design_scores_gemma":[0.0007772632,0.000015144156,0.03435675,0.00010484515,0.00002205801,0.000010119971,0.0005342238,0.00039434907,4.5546642e-7,0.44208917,0.5212894,0.00040619128],"about_ca_topic_score_codex":0.000050794355,"about_ca_topic_score_gemma":0.0006066599,"teacher_disagreement_score":0.6748853,"about_ca_system_score_codex":0.0002736155,"about_ca_system_score_gemma":0.0001505787,"threshold_uncertainty_score":0.7789483},"labels":[],"label_agreement":null},{"id":"W4402358722","doi":"10.2139/ssrn.4921589","title":"Price Impact of Climate Risk on Commercial Real Estate","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Business; Real estate; Natural resource economics; Environmental science; Economics; Finance","score_opus":0.012249413543262071,"score_gpt":0.24607177163913477,"score_spread":0.2338223580958727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402358722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84211427,0.0005787629,0.000675093,0.00011913337,0.0005068615,0.000067288136,0.00009187467,0.00003507864,0.15581162],"genre_scores_gemma":[0.8184199,0.18106435,0.000037473827,0.000010240585,0.00026794444,0.000001496085,0.000005183602,0.000036246223,0.00015717388],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99752086,0.000031480275,0.0006171581,0.00024680284,0.000033041128,0.0015506638],"domain_scores_gemma":[0.9992582,0.00008812138,0.00036278594,0.00018934143,0.00001816846,0.00008333812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027938115,0.0001690695,0.00036283548,0.00031803263,0.00014520319,0.00012625533,0.00021910692,0.000087769964,0.00015562678],"category_scores_gemma":[0.000051610034,0.0001663836,0.00035872575,0.00019544055,0.000038901035,0.0002302827,0.000032966997,0.0013289138,0.00038759792],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003924861,0.00017046851,0.11564818,0.000044778422,0.0008043388,0.000012414521,0.001025251,0.001548622,0.000012742467,0.50113606,0.00046750816,0.37873712],"study_design_scores_gemma":[0.0022745687,0.003631636,0.10734369,0.00014088985,0.000108441775,0.00037479182,0.0006155215,0.022472305,0.000030605843,0.83670133,0.025100965,0.0012052491],"about_ca_topic_score_codex":0.0010689953,"about_ca_topic_score_gemma":0.0005365806,"teacher_disagreement_score":0.3775319,"about_ca_system_score_codex":0.0014462685,"about_ca_system_score_gemma":0.00053559744,"threshold_uncertainty_score":0.6784926},"labels":[],"label_agreement":null},{"id":"W4402423790","doi":"10.24908/iqurcp17994","title":"An Analysis of Housing Market Dynamics: Evaluating Potential Bubbles and Their Implications on Affordability","year":2024,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Dynamics (music); Economics; Business; Econometrics; Sociology","score_opus":0.1170158182933807,"score_gpt":0.36670063949638143,"score_spread":0.24968482120300073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402423790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9644008,0.00014477003,0.011552236,0.0056008603,0.0001524524,0.0003933221,0.0002010182,0.00012298056,0.017431552],"genre_scores_gemma":[0.99800897,0.00096309354,0.00063527835,0.000023470242,0.00010672788,0.000055715493,0.000050224247,0.000044482393,0.00011206176],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973726,0.00007009717,0.00081432844,0.001009729,0.00012333527,0.000609882],"domain_scores_gemma":[0.9983693,0.00036276746,0.00022443994,0.00039205447,0.0004422651,0.00020921035],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0054172142,0.00025772233,0.0006389945,0.0017406516,0.00034961457,0.0009485945,0.0004553676,0.00016895264,0.00011986975],"category_scores_gemma":[0.00039096246,0.00026409051,0.00018025204,0.0015039726,0.00061321154,0.0007711075,0.00018699074,0.00048174514,0.000020132478],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015498645,0.00023188606,0.081032015,0.00044594074,0.0008770568,0.0000015902953,0.004193207,0.00036276536,0.0009603819,0.854997,0.0003236934,0.05641948],"study_design_scores_gemma":[0.00014336429,0.00026150234,0.01820907,0.00009207957,0.000057465066,0.000001982884,0.0022786427,0.648369,0.00010250569,0.33002695,0.0001853875,0.00027201464],"about_ca_topic_score_codex":0.00069018075,"about_ca_topic_score_gemma":0.00014479709,"teacher_disagreement_score":0.64800626,"about_ca_system_score_codex":0.00045811431,"about_ca_system_score_gemma":0.00017247687,"threshold_uncertainty_score":0.9999811},"labels":[],"label_agreement":null},{"id":"W4402448617","doi":"10.1007/978-981-97-5116-7_12","title":"Housing, Affordability, and Real Estate Market Analysis","year":2024,"lang":"en","type":"book-chapter","venue":"City development","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Real estate; Business; Finance","score_opus":0.031292882895366865,"score_gpt":0.2104426730761317,"score_spread":0.17914979018076485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402448617","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016080009,0.0003206587,0.00020115894,0.00013781193,0.00054184854,0.00020949013,0.00015542904,0.00011139729,0.98224217],"genre_scores_gemma":[0.044936784,0.017982163,0.0045367554,0.00011750533,0.0002107782,0.000026369065,0.00024391524,0.00018022819,0.9317655],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975668,0.000004588592,0.0010342181,0.0009728003,0.000052573523,0.00036899024],"domain_scores_gemma":[0.9988851,0.00005514862,0.0003904205,0.00046600297,0.000029142564,0.00017421461],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009824021,0.00044271976,0.0010274048,0.0008117382,0.00015353406,0.00027560312,0.00021905522,0.0003542248,0.0027855027],"category_scores_gemma":[0.000018282728,0.0005473323,0.00027223758,0.000117677526,0.00012900485,0.00010238584,0.00035407342,0.00031686184,0.0006990323],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015044799,0.0001493708,0.14427318,0.0015193113,0.01165559,0.00017229635,0.005177911,0.00006499025,5.715371e-7,0.5179207,0.019346654,0.29956898],"study_design_scores_gemma":[0.00014853688,0.000015581969,0.011840256,0.000053861186,0.00020075157,0.0000030687986,0.0000137859215,0.0006068803,0.0000019229626,0.07315891,0.91314554,0.00081088545],"about_ca_topic_score_codex":0.00020299936,"about_ca_topic_score_gemma":0.0014212762,"teacher_disagreement_score":0.8937989,"about_ca_system_score_codex":0.00056469045,"about_ca_system_score_gemma":0.00010367458,"threshold_uncertainty_score":0.9996978},"labels":[],"label_agreement":null},{"id":"W4402469220","doi":"10.1257/rct.14295","title":"Consumer Responseto Mortgage Payment Shocks: evidence from Canada","year":2024,"lang":"en","type":"dataset","venue":"AEA Randomized Controlled Trials","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Payment; Mortgage underwriting; Business; Shared appreciation mortgage; Commercial mortgage-backed security; Mortgage insurance; Collateralized mortgage obligation; Economics; Financial system; Monetary economics; Finance","score_opus":0.04832301067264219,"score_gpt":0.2721686110028325,"score_spread":0.22384560033019033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402469220","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009612749,0.058284592,0.00006822829,0.0015428972,0.011383121,0.0063218786,0.9187023,0.00008581248,0.0026499056],"genre_scores_gemma":[0.0068142833,0.06748182,0.00018798141,0.0018964384,0.002994581,0.0043456405,0.9129975,0.00022915186,0.0030526023],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98473287,0.0030297572,0.009260691,0.0017759693,0.00025767274,0.0009430653],"domain_scores_gemma":[0.9428976,0.049912676,0.0049500163,0.0017767189,0.00010010731,0.0003628413],"candidate_categories":["metaresearch","metaepi_narrow","metaepi_broad","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.04027988,0.0012451459,0.02358632,0.0007988878,0.00022940793,0.00089943025,0.0011527867,0.00083004526,0.008932424],"category_scores_gemma":[0.05937705,0.0010304276,0.0039451355,0.00026703466,0.00020596471,0.00023675933,0.00028356366,0.0010016938,0.00595106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.2773454,0.000038070117,0.0000126543755,0.00006902885,0.0053073177,0.0001118297,0.000025126914,0.000029206156,0.000001388776,0.00013959272,0.71678436,0.00013605058],"study_design_scores_gemma":[0.37002364,0.000023084032,0.0000024113376,0.0004080204,0.0021917243,0.0000028542233,0.000015292246,0.00046106393,0.0000054776897,0.006320514,0.619722,0.0008239044],"about_ca_topic_score_codex":0.6252852,"about_ca_topic_score_gemma":0.3980269,"teacher_disagreement_score":0.22725828,"about_ca_system_score_codex":0.0010514647,"about_ca_system_score_gemma":0.001799516,"threshold_uncertainty_score":0.9992146},"labels":[],"label_agreement":null},{"id":"W4402469781","doi":"10.1257/rct.14295-1.0","title":"Consumer Responseto Mortgage Payment Shocks: evidence from Canada","year":2024,"lang":"en","type":"dataset","venue":"AEA Randomized Controlled Trials","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Payment; Business; Mortgage underwriting; Commercial mortgage-backed security; Mortgage insurance; Finance","score_opus":0.04832301067264219,"score_gpt":0.2721686110028325,"score_spread":0.22384560033019033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402469781","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009612749,0.058284592,0.00006822829,0.0015428972,0.011383121,0.0063218786,0.9187023,0.00008581248,0.0026499056],"genre_scores_gemma":[0.0068142833,0.06748182,0.00018798141,0.0018964384,0.002994581,0.0043456405,0.9129975,0.00022915186,0.0030526023],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98473287,0.0030297572,0.009260691,0.0017759693,0.00025767274,0.0009430653],"domain_scores_gemma":[0.9428976,0.049912676,0.0049500163,0.0017767189,0.00010010731,0.0003628413],"candidate_categories":["metaresearch","metaepi_narrow","metaepi_broad","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.04027988,0.0012451459,0.02358632,0.0007988878,0.00022940793,0.00089943025,0.0011527867,0.00083004526,0.008932424],"category_scores_gemma":[0.05937705,0.0010304276,0.0039451355,0.00026703466,0.00020596471,0.00023675933,0.00028356366,0.0010016938,0.00595106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.2773454,0.000038070117,0.0000126543755,0.00006902885,0.0053073177,0.0001118297,0.000025126914,0.000029206156,0.000001388776,0.00013959272,0.71678436,0.00013605058],"study_design_scores_gemma":[0.37002364,0.000023084032,0.0000024113376,0.0004080204,0.0021917243,0.0000028542233,0.000015292246,0.00046106393,0.0000054776897,0.006320514,0.619722,0.0008239044],"about_ca_topic_score_codex":0.6252852,"about_ca_topic_score_gemma":0.3980269,"teacher_disagreement_score":0.22725828,"about_ca_system_score_codex":0.0010514647,"about_ca_system_score_gemma":0.001799516,"threshold_uncertainty_score":0.9992146},"labels":[],"label_agreement":null},{"id":"W4402642364","doi":"10.5220/0012973500004508","title":"Advancing House Price Forecasting: Linear Regression and Deep Learning Models Analysis","year":2024,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; University of Toronto","funders":"","keywords":"Linear regression; Computer science; Regression analysis; Artificial intelligence; Deep learning; House price; Econometrics; Regression; Proper linear model; Linear model; Technology forecasting; Machine learning; Statistics; Bayesian multivariate linear regression; Economics; Mathematics","score_opus":0.043412099142368536,"score_gpt":0.22855284124233052,"score_spread":0.18514074209996198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402642364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4725593,0.0050166612,0.33830658,0.00033661537,0.00038666883,0.00013560426,0.000007041646,0.00057243044,0.18267909],"genre_scores_gemma":[0.98669887,0.002117265,0.009145722,0.000056823203,0.00011106316,0.000005503297,0.000007190748,0.000052301628,0.0018052872],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987467,0.000011191142,0.00043578254,0.00048325412,0.000020508369,0.00030259846],"domain_scores_gemma":[0.9994642,0.0001231979,0.000119125805,0.00017550742,0.000014061328,0.00010391381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070371083,0.00015151205,0.00037110382,0.0005193111,0.00015083031,0.00020845972,0.000090267,0.00009399073,0.0002315647],"category_scores_gemma":[0.00009750043,0.00015440736,0.00013938315,0.0005218198,0.000025292213,0.0005243439,0.00008778829,0.00020608732,0.000121847464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008667836,0.0001106712,0.15234226,0.0005215934,0.0016605151,0.00008614152,0.006758102,0.47350085,0.000045447567,0.16616708,0.0008035236,0.19791715],"study_design_scores_gemma":[0.00009499121,0.000022263495,0.00029924806,0.000022848153,0.00004210465,0.0000048321076,0.0001102948,0.9722576,0.000010988976,0.009975921,0.016950116,0.00020878234],"about_ca_topic_score_codex":0.00010713813,"about_ca_topic_score_gemma":0.00007150033,"teacher_disagreement_score":0.51413953,"about_ca_system_score_codex":0.0000822419,"about_ca_system_score_gemma":0.000010076305,"threshold_uncertainty_score":0.62965494},"labels":[],"label_agreement":null},{"id":"W4402652280","doi":"10.1177/00222437241286785","title":"The Last Hurrah Effect: End-of-Period Temporal Landmarks Increase Optimism and Financial Risk-Taking","year":2024,"lang":"en","type":"article","venue":"Journal of Marketing Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital","funders":"Social Sciences and Humanities Research Council of Canada; Simon Fraser University; University of Minnesota; Nanyang Technological University; University of Toronto; Carnegie Mellon University; George Mason University","keywords":"Optimism; Period (music); Economics; Psychology; Finance; Social psychology; Philosophy; Aesthetics","score_opus":0.03170739079232685,"score_gpt":0.29397318175775594,"score_spread":0.26226579096542907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402652280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9584443,0.010455316,0.00006562141,0.00046317198,0.0006597746,0.00012808111,0.00001866286,0.000010502813,0.029754587],"genre_scores_gemma":[0.9898482,0.008994857,0.0003159842,0.0000085362235,0.0005609511,0.0000042376373,0.0000010091213,0.000030162098,0.00023604152],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976292,0.00056644646,0.000927295,0.00024583674,0.00013993021,0.0004912517],"domain_scores_gemma":[0.994046,0.0046428363,0.0008527363,0.00020976957,0.000111096,0.00013757905],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.047717854,0.00013916138,0.00043998417,0.00050038565,0.00043622943,0.00047443292,0.000353448,0.00012562926,0.00014485615],"category_scores_gemma":[0.0150215505,0.00011068072,0.00018230574,0.0003259123,0.0002508208,0.00022446996,0.00019000542,0.0011487841,0.000021467524],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025367881,0.000082265506,0.6892505,0.0006521092,0.00020290191,0.00020259363,0.001328727,0.00007578063,0.000054606277,0.003446061,0.0093061365,0.2928615],"study_design_scores_gemma":[0.003596982,0.0016596301,0.42892277,0.00262387,0.00007886046,0.00064637314,0.0010692078,0.028117217,0.00017447336,0.023591882,0.50856155,0.00095718255],"about_ca_topic_score_codex":0.00019480237,"about_ca_topic_score_gemma":0.00006944198,"teacher_disagreement_score":0.49925542,"about_ca_system_score_codex":0.0001427921,"about_ca_system_score_gemma":0.00019320536,"threshold_uncertainty_score":0.99327534},"labels":[],"label_agreement":null},{"id":"W4402669070","doi":"10.1016/j.jhe.2024.102025","title":"Unpacking the relation between media sentiment and house prices: A topic modeling approach","year":2024,"lang":"en","type":"article","venue":"Journal of Housing Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Brock University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Unpacking; Relation (database); Computer science; Sociology; Data mining; Linguistics","score_opus":0.05571176248918323,"score_gpt":0.22310311059601134,"score_spread":0.16739134810682813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402669070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9536048,0.0026934827,0.03583484,0.0007399318,0.0010481403,0.000103523176,0.000010363888,0.00004422225,0.0059206905],"genre_scores_gemma":[0.9924828,0.0022731938,0.0041756122,0.00007409381,0.0009080683,0.0000014885459,0.0000026602113,0.000059863727,0.000022246455],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984375,0.000017601105,0.0010270547,0.00025619598,0.00002793149,0.00023368924],"domain_scores_gemma":[0.9990069,0.0001792887,0.0005076815,0.00019663073,0.000024254558,0.0000852383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016457468,0.0001626622,0.00043457045,0.0003206882,0.00015662148,0.00052286644,0.00020532709,0.000114862225,0.000015134152],"category_scores_gemma":[0.00005530774,0.00014738644,0.00016177776,0.0001127915,0.00005173952,0.0006442329,0.0000713769,0.0003490762,0.00002453458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014737017,0.000243989,0.18222652,0.00082723936,0.0021147912,0.00004996982,0.03114044,0.39660913,0.000048967664,0.27696216,0.0010310601,0.10859836],"study_design_scores_gemma":[0.0005802075,0.00005953224,0.0037767538,0.00014245587,0.00010944341,0.000090526264,0.00051208056,0.9039596,0.000023039105,0.07776055,0.0125502795,0.0004355561],"about_ca_topic_score_codex":0.000029337132,"about_ca_topic_score_gemma":0.000008684174,"teacher_disagreement_score":0.50735044,"about_ca_system_score_codex":0.0002707161,"about_ca_system_score_gemma":0.000059585065,"threshold_uncertainty_score":0.60102445},"labels":[],"label_agreement":null},{"id":"W4402770389","doi":"10.2139/ssrn.4925857","title":"NAR Settlement, House Prices, and Consumer Welfare","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Settlement (finance); Welfare; Consumer welfare; Economics; Natural resource economics; Business; Market economy; Finance","score_opus":0.011946552407832272,"score_gpt":0.20773228053602108,"score_spread":0.1957857281281888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402770389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75138444,0.13926826,0.009863183,0.013657489,0.0029608123,0.00038045886,0.00015859389,0.0004454059,0.08188136],"genre_scores_gemma":[0.9572915,0.040842462,0.000136557,0.00011063168,0.00025937968,0.0000042129323,0.000004779402,0.000060594008,0.0012898911],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979462,0.000011052517,0.000426356,0.0003011229,0.000025891928,0.0012893715],"domain_scores_gemma":[0.9995951,0.000027524111,0.00013278284,0.00014197352,0.000012280403,0.00009034904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015897135,0.00015206612,0.0002416751,0.000234486,0.00021878834,0.00032484083,0.0001558333,0.000081982005,0.0002546759],"category_scores_gemma":[0.000028689718,0.00016428868,0.00009484503,0.0001294292,0.000047327903,0.00033027993,0.00004421189,0.0009173761,0.00043545535],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015463233,0.000023475364,0.013190521,0.00003132042,0.00024493292,0.000009561383,0.00022616943,0.0000081049375,0.000004590625,0.9533892,0.0010098148,0.031846806],"study_design_scores_gemma":[0.0004351367,0.00010919406,0.0010092162,0.000021257427,0.000020944584,0.00039939996,0.0004359508,0.0009785544,0.0000049175615,0.37759948,0.6186721,0.0003138872],"about_ca_topic_score_codex":0.000062382474,"about_ca_topic_score_gemma":0.00022225307,"teacher_disagreement_score":0.61766225,"about_ca_system_score_codex":0.0005681014,"about_ca_system_score_gemma":0.00023171165,"threshold_uncertainty_score":0.6699498},"labels":[],"label_agreement":null},{"id":"W4402783935","doi":"10.1017/asb.2024.21","title":"Optimal surrender policy for reverse mortgage loans","year":2024,"lang":"en","type":"article","venue":"Astin Bulletin","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Fonds Wetenschappelijk Onderzoek","keywords":"Surrender; Shared appreciation mortgage; Mortgage underwriting; Mortgage insurance; Economics; Secondary mortgage market; Business; Financial system; Actuarial science; Monetary economics; Political science; Insurance policy","score_opus":0.03168237653128584,"score_gpt":0.24026269326816804,"score_spread":0.2085803167368822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402783935","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13725123,0.0032811875,0.06957117,0.04174241,0.005297349,0.0010387335,0.0012655475,0.0007515435,0.7398008],"genre_scores_gemma":[0.9568417,0.00041799326,0.012085428,0.0009933334,0.0017214238,0.00009566733,0.00008254697,0.00013059912,0.027631283],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99864006,0.000008996902,0.00045603613,0.00046856402,0.000018525507,0.00040783396],"domain_scores_gemma":[0.9993907,0.00016304893,0.000086522414,0.00025283126,0.00001529354,0.00009157363],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006739789,0.00017010061,0.00029211032,0.00026147717,0.00010273885,0.00018551748,0.00018293696,0.00010597373,0.002360706],"category_scores_gemma":[0.00024013613,0.00020947032,0.000189668,0.00016173186,0.000049938033,0.00007091401,0.000059891765,0.00015367728,0.004337393],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007136452,0.00008422872,0.00399883,0.00029777634,0.00014923293,0.000026565212,0.00072188943,0.0013443482,0.000020286938,0.34270486,0.6301258,0.02045482],"study_design_scores_gemma":[0.0002741137,0.000038026308,0.0004651551,0.000026134963,0.0000072621956,0.0000080083855,0.000039627892,0.0065811086,0.000022184882,0.0045643086,0.98770785,0.00026621183],"about_ca_topic_score_codex":0.0002550675,"about_ca_topic_score_gemma":0.000009430534,"teacher_disagreement_score":0.8195905,"about_ca_system_score_codex":0.00012644443,"about_ca_system_score_gemma":0.000048860133,"threshold_uncertainty_score":0.99855125},"labels":[],"label_agreement":null},{"id":"W4402840105","doi":"10.1016/j.jmacro.2024.103641","title":"Is deflation cause for panic? Evidence from the National Banking era","year":2024,"lang":"en","type":"article","venue":"Journal of Macroeconomics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Allison University","funders":"Carleton University","keywords":"Deflation; Panic; Economics; Keynesian economics; Monetary economics; Medicine; Monetary policy; Psychiatry; Anxiety","score_opus":0.0969170115884087,"score_gpt":0.29199550615647046,"score_spread":0.19507849456806176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402840105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9447465,0.007911424,0.02031278,0.014695693,0.004800662,0.00030035322,0.00051412784,0.000033177184,0.006685296],"genre_scores_gemma":[0.99029803,0.0026897609,0.0035182957,0.0013690927,0.0019061873,0.000007212119,0.000007839451,0.000040487044,0.00016308753],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984422,0.000013564255,0.0010509776,0.00025150468,0.000037066577,0.00020472474],"domain_scores_gemma":[0.9980474,0.0010148482,0.00063908834,0.00014877872,0.00009114196,0.000058752543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001930701,0.00014094905,0.0003307047,0.0001640801,0.00013540279,0.00047899553,0.00035735546,0.00009986909,0.00048566723],"category_scores_gemma":[0.00031189568,0.00013290276,0.00030613597,0.00008339323,0.00004159799,0.0008614573,0.000045968078,0.0002602137,0.00022521753],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094977865,0.00020490075,0.2545231,0.0003621323,0.0034001474,0.000030818534,0.014132059,0.015358348,0.0003935804,0.32045174,0.29951888,0.09067452],"study_design_scores_gemma":[0.0008215538,0.00012489589,0.01749392,0.00029522605,0.00008628483,0.00006868819,0.00013632132,0.13291389,0.0002599349,0.40759528,0.4397292,0.0004748144],"about_ca_topic_score_codex":0.000046513014,"about_ca_topic_score_gemma":0.000042986663,"teacher_disagreement_score":0.23702918,"about_ca_system_score_codex":0.0004486931,"about_ca_system_score_gemma":0.00015983851,"threshold_uncertainty_score":0.5419617},"labels":[],"label_agreement":null},{"id":"W4403483666","doi":"10.1080/08965803.2024.2376955","title":"Do Foreign Buyer Taxes Affect House Prices?","year":2024,"lang":"en","type":"article","venue":"Journal of Real Estate Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Affect (linguistics); Economics; Monetary economics; Business; Microeconomics; Psychology","score_opus":0.1095504305029633,"score_gpt":0.34960512917452746,"score_spread":0.24005469867156415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403483666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62708116,0.001185013,0.00040479368,0.0005212548,0.00057526835,0.00013431904,0.000032007847,0.00003715938,0.37002903],"genre_scores_gemma":[0.9396453,0.058016885,0.0007132037,0.000012129942,0.0005734161,0.0000046260193,0.0000012743585,0.00007201395,0.0009611817],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982148,0.000064015316,0.0007631689,0.0002735985,0.00013889992,0.0005455288],"domain_scores_gemma":[0.9986398,0.00050176843,0.0002577246,0.00024821056,0.00013318464,0.0002192851],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0065350644,0.00013460504,0.0004222652,0.0010708177,0.00012774178,0.00062792376,0.0003968659,0.00011158545,0.000300327],"category_scores_gemma":[0.0002933756,0.00012488202,0.00023114106,0.0005247358,0.00011095683,0.00060354604,0.00009918311,0.0007733657,0.00084172934],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007446312,0.0004386329,0.05237506,0.0013236821,0.00081010617,0.0022257376,0.0059190174,0.0010343404,0.00032025843,0.2790419,0.095734686,0.56003195],"study_design_scores_gemma":[0.0014248817,0.0016089616,0.009431425,0.0005176721,0.0000279946,0.0004859315,0.0012859533,0.012000955,0.00036640925,0.21139015,0.7607252,0.000734486],"about_ca_topic_score_codex":0.0003734014,"about_ca_topic_score_gemma":0.00004138894,"teacher_disagreement_score":0.6649905,"about_ca_system_score_codex":0.00034067698,"about_ca_system_score_gemma":0.00018342286,"threshold_uncertainty_score":0.9999362},"labels":[],"label_agreement":null},{"id":"W4403513116","doi":"10.3390/eng5040139","title":"Housing Defect Assessment through Household Scale and General Contractor Level","year":2024,"lang":"en","type":"article","venue":"Eng—Advances in Engineering","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Research Foundation of Korea; National Research Foundation","keywords":"Scale (ratio); Geography; Cartography","score_opus":0.029233766702419863,"score_gpt":0.24163913308521073,"score_spread":0.21240536638279087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403513116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79890937,0.029084278,0.14538829,0.00009901054,0.0027691945,0.0001925756,0.00009623724,0.0002792694,0.023181798],"genre_scores_gemma":[0.9695453,0.0060092043,0.023932738,0.00003943861,0.0003110157,0.000021221515,0.0000059041918,0.000063158506,0.00007199334],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878085,0.0000058454402,0.00042034546,0.00041246,0.000026506748,0.00035399327],"domain_scores_gemma":[0.99961376,0.00010240184,0.000056067176,0.0001703397,0.000004329532,0.000053081454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039120158,0.00019409611,0.00034573316,0.0001937253,0.000049361937,0.00018365965,0.00010598461,0.00008760454,0.000028149245],"category_scores_gemma":[0.00003383391,0.00023753529,0.00008255231,0.00017746941,0.000027609018,0.0008994043,0.000051139123,0.00027836932,0.000016165464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028219709,0.00013787845,0.14747159,0.0013483787,0.0001794383,0.00012881123,0.002210076,0.54418904,0.0009835613,0.22577943,0.00025501262,0.077288575],"study_design_scores_gemma":[0.0010734765,0.00007037296,0.024290599,0.0003887043,0.000018344525,0.000030160743,0.000092842485,0.5857736,0.00043172168,0.012699915,0.37381652,0.001313747],"about_ca_topic_score_codex":0.00006304736,"about_ca_topic_score_gemma":0.00005866265,"teacher_disagreement_score":0.37356153,"about_ca_system_score_codex":0.00022144824,"about_ca_system_score_gemma":0.000015085637,"threshold_uncertainty_score":0.9686408},"labels":[],"label_agreement":null},{"id":"W4403545070","doi":"10.37659/2663-5070-2023-11-4-17","title":"Between a Rock and a Hard Place: Economic Sustainability Challenges of the Housing Market. Case of Australia","year":2023,"lang":"en","type":"article","venue":"Business Economics Sustainability Leadership and Innovation","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Natural resource economics; Business; Economics; Ecology","score_opus":0.10802906542512611,"score_gpt":0.27278026608392564,"score_spread":0.16475120065879953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403545070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886691,0.00017022953,0.0001479599,0.009158314,0.0002501381,0.000680419,0.000114439776,0.00004375034,0.0007656729],"genre_scores_gemma":[0.99900085,0.00043000924,0.00006416228,0.000029314599,0.00010640608,0.000029021345,0.00001531817,0.000038633298,0.0002863089],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972221,0.000073627656,0.0014953888,0.0006942841,0.000024765259,0.0004898267],"domain_scores_gemma":[0.99762005,0.00029050338,0.0010074518,0.0006337383,0.00038442665,0.000063819934],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0028292753,0.00029360212,0.00079797243,0.0008052939,0.00021312319,0.00008822496,0.0002271032,0.0002792895,0.000035026165],"category_scores_gemma":[0.0010520008,0.00032595376,0.00009855717,0.00092333806,0.00044195814,0.0006026261,0.0002468522,0.00020298801,0.0000043981813],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017205598,0.00007925571,0.5885886,0.004269456,0.00012280759,0.000006188271,0.0027042555,0.0021735167,0.0000039714373,0.38831863,0.0002234096,0.013337846],"study_design_scores_gemma":[0.0011443516,0.00006986868,0.7725717,0.000053061467,0.00003830449,0.000035894856,0.016358236,0.0094499,0.0000694298,0.19761226,0.0020281202,0.0005688984],"about_ca_topic_score_codex":0.0008151325,"about_ca_topic_score_gemma":0.00023455243,"teacher_disagreement_score":0.19070639,"about_ca_system_score_codex":0.00068531,"about_ca_system_score_gemma":0.0002739306,"threshold_uncertainty_score":0.99991924},"labels":[],"label_agreement":null},{"id":"W4403608297","doi":"10.2139/ssrn.4955517","title":"Monetary Policy and Racial Inequality in Housing Markets","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; Government of Canada","funders":"","keywords":"Inequality; Monetary policy; Economics; Monetary economics; Mathematics","score_opus":0.018942440679530728,"score_gpt":0.2446235662317559,"score_spread":0.2256811255522252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403608297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94444644,0.02428898,0.0006234566,0.0019914943,0.0012426707,0.00020371377,0.0000486519,0.00004813328,0.027106471],"genre_scores_gemma":[0.9523912,0.04533219,0.000131185,0.0001317851,0.001462665,0.000007956954,0.000014955743,0.000078810874,0.0004492374],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99593043,0.00007196621,0.0011583177,0.00066823617,0.000047278296,0.0021237524],"domain_scores_gemma":[0.99893486,0.00006318906,0.0005390554,0.00032212635,0.000018604262,0.00012218235],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0055277483,0.00036823456,0.00080003723,0.0010689024,0.00012485817,0.00040342487,0.00034791618,0.00043396075,0.000042381016],"category_scores_gemma":[0.0002230863,0.00045358605,0.00023046003,0.00022952109,0.00007092791,0.0001568082,0.00068244466,0.0054428605,0.00010121618],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029294012,0.00016246439,0.08300915,0.00043838643,0.00064033305,0.00006193938,0.0018961615,0.000881515,0.000004494915,0.78277564,0.0001979789,0.12963901],"study_design_scores_gemma":[0.000441397,0.000038045295,0.0068537556,0.0001008049,0.00001693076,0.00008211654,0.00014825285,0.003980102,0.0000010880772,0.9851236,0.0027447848,0.00046911856],"about_ca_topic_score_codex":0.002264087,"about_ca_topic_score_gemma":0.004267089,"teacher_disagreement_score":0.20234798,"about_ca_system_score_codex":0.0031256755,"about_ca_system_score_gemma":0.0019533732,"threshold_uncertainty_score":0.99979156},"labels":[],"label_agreement":null},{"id":"W4403908185","doi":"10.1007/978-3-031-65321-6_8","title":"Highest and Best Use Analysis of Real Estate Investment in Selected Cities in South Africa and Nigeria","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network","funders":"","keywords":"Real estate; Investment (military); Geography; Business; Finance; Political science","score_opus":0.03723764110740916,"score_gpt":0.19720831090244206,"score_spread":0.1599706697950329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403908185","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39752233,0.00040681814,0.000002743759,0.00003361794,0.000074294025,0.00013070849,0.00033990506,0.000016272192,0.6014733],"genre_scores_gemma":[0.8030868,0.023357334,0.00038752393,0.000039931565,0.000034394605,0.000015071515,0.00014936348,0.000086840024,0.17284273],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9982618,0.000006164684,0.0009188682,0.00055827363,0.00002282084,0.00023203997],"domain_scores_gemma":[0.9992974,0.0000786431,0.0002985289,0.00023264138,0.000018727807,0.0000740707],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002903217,0.00028001695,0.0010800875,0.002108544,0.000020338326,0.00013547431,0.000081493796,0.00025481117,0.0001862868],"category_scores_gemma":[0.00002167662,0.000329244,0.00008967054,0.00027099627,0.00012535384,0.00013586735,0.000108364904,0.00020930936,0.000027189459],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000114636896,0.00009382954,0.45412248,0.0004141858,0.0020212627,0.00006557344,0.019205486,0.00033257797,0.0000047283347,0.5219567,0.00029613287,0.0013724547],"study_design_scores_gemma":[0.0040772134,0.00090736145,0.3402059,0.0009915271,0.0019634492,0.0000083605355,0.0026714837,0.05364193,0.000013241926,0.31455052,0.27491763,0.006051373],"about_ca_topic_score_codex":0.0018513002,"about_ca_topic_score_gemma":0.009741803,"teacher_disagreement_score":0.4286306,"about_ca_system_score_codex":0.00015195203,"about_ca_system_score_gemma":0.00003116028,"threshold_uncertainty_score":0.99991596},"labels":[],"label_agreement":null},{"id":"W4403936926","doi":"10.2139/ssrn.5006169","title":"Funding Conditions, Transaction Costs and the Dynamic Performance of Anomalies","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Transaction cost; Database transaction; Business; Industrial organization; Economics; Econometrics; Computer science; Finance; Database","score_opus":0.010945028973811702,"score_gpt":0.21695636545617242,"score_spread":0.20601133648236072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403936926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96547407,0.020295097,0.0013409447,0.0010093589,0.0011812925,0.00020105284,0.00006611111,0.00002319094,0.010408865],"genre_scores_gemma":[0.90162593,0.09745546,0.000030356689,0.0000225458,0.00012488168,0.000012650499,0.00001369459,0.000033766806,0.00068073504],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980706,0.00003283305,0.000716302,0.0002884857,0.000033805565,0.0008579664],"domain_scores_gemma":[0.99908483,0.00006896661,0.0005752111,0.00020672621,0.00002463893,0.00003962603],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0030347758,0.00020274098,0.000505402,0.00030350214,0.0002070902,0.00017899678,0.00024673613,0.00017865308,0.000044922264],"category_scores_gemma":[0.000025847925,0.00018511113,0.00021471581,0.00008856103,0.0001846361,0.00012573891,0.00010641676,0.0024929452,0.000038752343],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028818456,0.000039726274,0.006419671,0.0003937508,0.0009012961,0.000001371537,0.000835134,0.0011909333,0.000011290819,0.96430117,0.00004674904,0.025570713],"study_design_scores_gemma":[0.0008935926,0.0000984399,0.0013450491,0.00017379886,0.00008978684,0.0002095378,0.00062468526,0.040638275,0.00000941152,0.95494443,0.0006699923,0.00030298892],"about_ca_topic_score_codex":0.00012663328,"about_ca_topic_score_gemma":0.0003765722,"teacher_disagreement_score":0.07716036,"about_ca_system_score_codex":0.0012117581,"about_ca_system_score_gemma":0.0004431687,"threshold_uncertainty_score":0.9998084},"labels":[],"label_agreement":null},{"id":"W4403950675","doi":"10.1108/jerer-12-2023-0050","title":"Monetary shocks and house prices in Europe","year":2024,"lang":"en","type":"article","venue":"Journal of European real estate research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Economics; House price; Macroeconomics; Monetary economics; Economy","score_opus":0.08361571504714597,"score_gpt":0.30504059079535417,"score_spread":0.22142487574820818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403950675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6406576,0.0011722773,0.00003757384,0.0003569081,0.0001912749,0.000050200837,0.0000059041254,0.000016559514,0.35751173],"genre_scores_gemma":[0.87712026,0.12168164,0.0003529431,0.000017450016,0.00029226136,4.968961e-7,0.0000010165962,0.00007399784,0.00045991185],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984114,0.0001311902,0.00077407993,0.00024817427,0.00007561116,0.00035955568],"domain_scores_gemma":[0.9992137,0.00023538904,0.00014630839,0.00016027651,0.000085410196,0.00015893545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0065443576,0.00010553466,0.00028959426,0.0009717062,0.00006197667,0.0003656771,0.00027817467,0.000033224303,0.00005354611],"category_scores_gemma":[0.0002426801,0.00010273495,0.000056368826,0.0005706551,0.000107258194,0.00043582055,0.00014784926,0.0007019819,0.0003792743],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006747863,0.00047286117,0.20425072,0.000843462,0.00032556034,0.011551812,0.012132026,0.0018283674,0.0004645002,0.04060271,0.01582938,0.7110238],"study_design_scores_gemma":[0.0014752136,0.0011017848,0.33504167,0.00053334306,0.000013370781,0.00051208877,0.00058237225,0.018024849,0.000037926417,0.009803106,0.6322265,0.0006477595],"about_ca_topic_score_codex":0.00023181483,"about_ca_topic_score_gemma":0.00004206876,"teacher_disagreement_score":0.710376,"about_ca_system_score_codex":0.00009915383,"about_ca_system_score_gemma":0.00006652875,"threshold_uncertainty_score":0.48749304},"labels":[],"label_agreement":null},{"id":"W4404048592","doi":"10.54254/2753-8818/51/2024ch0174","title":"Factors influencing housing prices: A comparative study using multiple linear regression and random forest","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Random forest; Linear regression; Econometrics; Statistics; Regression; Mathematics; Environmental science; Economics; Geography; Computer science; Artificial intelligence","score_opus":0.044337710903264264,"score_gpt":0.28483872584323555,"score_spread":0.24050101493997128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404048592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962742,0.0010805845,0.0005965703,0.000044705936,0.00033464644,0.00021295725,0.0000062031777,0.000046851354,0.0014032834],"genre_scores_gemma":[0.99933565,0.00006547646,0.00050104555,0.000022775768,0.000055644083,0.0000017582275,8.3649746e-7,0.000008877142,0.000007921543],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886507,0.00001704913,0.00029406694,0.0004773199,0.000052999098,0.000293506],"domain_scores_gemma":[0.9993837,0.0002855441,0.00007114456,0.00011435828,0.000020812553,0.00012443637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094605726,0.00015455256,0.00032027546,0.00019272952,0.00039449954,0.00034650211,0.0001432932,0.000045801917,0.000020778461],"category_scores_gemma":[0.00018480749,0.000110005494,0.000035921104,0.00037037893,0.0010349674,0.00054122467,0.00017438378,0.00020273092,0.0000069103075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025068532,0.00011567827,0.46843293,0.000102323735,0.000049492734,0.00001647684,0.020649683,0.00023052594,0.0011511177,0.50317633,0.000005706286,0.005819053],"study_design_scores_gemma":[0.00086527184,0.00013804759,0.04974588,0.0001475249,0.000018799068,0.000008332817,0.0023097706,0.897088,0.00028147543,0.048816357,0.0001718186,0.00040874744],"about_ca_topic_score_codex":0.00010062935,"about_ca_topic_score_gemma":0.000024691486,"teacher_disagreement_score":0.89685744,"about_ca_system_score_codex":0.00007120533,"about_ca_system_score_gemma":0.000031315423,"threshold_uncertainty_score":0.44858938},"labels":[],"label_agreement":null},{"id":"W4404087307","doi":"10.2139/ssrn.5009785","title":"Household Benefits from Energy Efficiency Retrofits: Implications for Net Zero Housing Policy","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Carleton University","funders":"","keywords":"Zero (linguistics); Net (polyhedron); Zero-energy building; Zero emission; Natural resource economics; Energy (signal processing); Business; Environmental economics; Economics; Environmental science; Waste management; Engineering; Physics; Mathematics","score_opus":0.030269437775786515,"score_gpt":0.2369178812945984,"score_spread":0.2066484435188119,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404087307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5541273,0.10417414,0.28019634,0.014750428,0.007522536,0.0009967835,0.006698699,0.00057340774,0.030960405],"genre_scores_gemma":[0.95140445,0.04315326,0.00064211845,0.0003591799,0.0030875674,0.00007257523,0.00022153684,0.00023716784,0.00082214683],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9946956,0.000025864709,0.0013693308,0.0010349761,0.000051252482,0.0028229705],"domain_scores_gemma":[0.997797,0.00012764262,0.0010404522,0.0007730136,0.000069904476,0.00019195012],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0017421745,0.0005223807,0.00090478506,0.00091745966,0.00043097083,0.000705429,0.00096360425,0.00059266237,0.000022016748],"category_scores_gemma":[0.00017218526,0.00063797785,0.00066944177,0.00034101284,0.00006569602,0.00015251317,0.00055357243,0.0028381352,0.00006900043],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033395176,0.00006885305,0.001971288,0.000035875,0.0004105818,6.563461e-7,0.0001258838,0.0055407253,0.0000074955196,0.96050364,0.0010736688,0.03022794],"study_design_scores_gemma":[0.00044817853,0.00009801143,0.0007181034,0.00009155373,0.00007140897,0.00003064879,0.000053702952,0.003104454,0.000010029173,0.98063797,0.014091172,0.0006447823],"about_ca_topic_score_codex":0.0026416476,"about_ca_topic_score_gemma":0.0015459512,"teacher_disagreement_score":0.39727718,"about_ca_system_score_codex":0.004066912,"about_ca_system_score_gemma":0.0029140627,"threshold_uncertainty_score":0.9997563},"labels":[],"label_agreement":null},{"id":"W4404102285","doi":"10.1093/rfs/hhae075","title":"The Role of Intermediaries in Selection Markets: Evidence from Mortgage Lending","year":2024,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada; Queen's University","funders":"National Science Foundation","keywords":"Intermediary; Mortgage underwriting; Shared appreciation mortgage; Secondary mortgage market; Business; Mortgage insurance; Financial system; Selection (genetic algorithm); Monetary economics; Economics; Finance; Computer science","score_opus":0.038017152083584686,"score_gpt":0.2782864421938601,"score_spread":0.24026929011027542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404102285","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10480418,0.8902526,0.000068956295,0.0004527299,0.0006532215,0.00017068638,0.000028664412,0.000013077914,0.0035558862],"genre_scores_gemma":[0.45825326,0.54153174,0.0000709138,0.000020894277,0.000070493144,0.000018622208,8.7341544e-7,0.0000062194263,0.00002694751],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987622,0.000029051858,0.000818189,0.0002102798,0.000027237258,0.00015306794],"domain_scores_gemma":[0.99896985,0.0005847684,0.00026584242,0.00013528833,0.00003109295,0.000013136383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014478934,0.000105051724,0.00056540745,0.000088707995,0.00007233989,0.000022842292,0.0001600161,0.000039065948,0.000033286087],"category_scores_gemma":[0.0021079844,0.000089537505,0.00012993498,0.00028472356,0.00016096827,0.00019486227,0.00008755451,0.00011986302,0.000024521043],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073827374,0.000048446836,0.19359425,0.01026065,0.00023392648,0.0000047824856,0.003226048,0.0000068998866,0.0000555769,0.123325445,0.0045172996,0.6646528],"study_design_scores_gemma":[0.00025556446,0.00014984503,0.16648108,0.073089965,0.00009724211,0.0000036114718,0.00066328765,0.0021498178,0.0008120383,0.15544794,0.60021645,0.0006331313],"about_ca_topic_score_codex":0.00019314898,"about_ca_topic_score_gemma":0.00030329602,"teacher_disagreement_score":0.6640197,"about_ca_system_score_codex":0.00011809467,"about_ca_system_score_gemma":0.000040036524,"threshold_uncertainty_score":0.36512333},"labels":[],"label_agreement":null},{"id":"W4404371098","doi":"10.1109/icsintesa62455.2024.10747910","title":"Regression Modeling for House Price Prediction in Java Island","year":2024,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Java; Computer science; Regression analysis; House price; Econometrics; Operating system; Machine learning; Economics","score_opus":0.04074964787532063,"score_gpt":0.23077208770491706,"score_spread":0.19002243982959643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404371098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46879524,0.0014206322,0.3046467,0.0006477152,0.0019040448,0.00043173914,0.00011093796,0.0003817412,0.22166127],"genre_scores_gemma":[0.99506325,0.00049005134,0.0015127723,0.000056153305,0.00019409509,0.000031844207,0.00001288115,0.00004219791,0.0025967436],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990656,0.0000034867758,0.0004043029,0.00031787364,0.000010584864,0.00019815366],"domain_scores_gemma":[0.99973166,0.00004550307,0.000041896397,0.0001387036,0.000007699636,0.000034525536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053240545,0.000091996364,0.00018159757,0.00025534147,0.000045427154,0.00012084317,0.00007538242,0.00009489198,0.00019223448],"category_scores_gemma":[0.000043421293,0.00009500543,0.00006666588,0.00012473686,0.000007835541,0.00029471374,0.000023139291,0.00008831033,0.0002635338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004452566,0.00041233166,0.095090955,0.0013647644,0.0002022729,0.000024559282,0.006046085,0.13095923,0.00015923748,0.6028471,0.08063017,0.08181806],"study_design_scores_gemma":[0.00025636217,0.000023083692,0.0001885532,0.000047798396,0.0000018996438,0.0000015101891,0.000035475983,0.9376443,0.000013060513,0.029974928,0.03169748,0.000115573006],"about_ca_topic_score_codex":0.000101340345,"about_ca_topic_score_gemma":0.00011486944,"teacher_disagreement_score":0.80668503,"about_ca_system_score_codex":0.00011844547,"about_ca_system_score_gemma":0.000013450256,"threshold_uncertainty_score":0.38742092},"labels":[],"label_agreement":null},{"id":"W4404692601","doi":"10.32920/27901455","title":"Immigrants and house prices: Myths and realities","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mythology; Immigration; House price; Business; Economics; Political science; Art; Econometrics; Literature; Law","score_opus":0.03153145776321465,"score_gpt":0.21699376241520021,"score_spread":0.18546230465198557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404692601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60583,0.011767981,0.00017374495,0.0010772685,0.0012713501,0.00028034355,0.00029936078,0.00031466532,0.3789853],"genre_scores_gemma":[0.961699,0.03029531,0.001287685,0.00033560835,0.0002866782,0.000036281588,0.000020903137,0.00012341476,0.005915137],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983265,0.000006962359,0.0005943197,0.0007750217,0.000017114946,0.0002800865],"domain_scores_gemma":[0.9992185,0.000059915685,0.00021072848,0.00038800115,0.000011152183,0.00011170844],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005243426,0.00028843083,0.00062619697,0.00030080831,0.000071115195,0.00057096395,0.00015405801,0.0003220162,0.00014212492],"category_scores_gemma":[0.000038218997,0.00032361769,0.00009170553,0.000052925465,0.00010919347,0.00009128946,0.00097081304,0.00041034477,0.00028521917],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006935802,0.000096781165,0.045626298,0.004545952,0.00071062025,0.000043537984,0.010334971,0.00007054809,0.0000033243539,0.88106185,0.023276586,0.034160182],"study_design_scores_gemma":[0.00043337556,0.000049260685,0.008176518,0.00023326965,0.00005155309,0.000023735007,0.0007344634,0.008700901,0.000012915254,0.8651662,0.115212925,0.0012049205],"about_ca_topic_score_codex":0.0023062471,"about_ca_topic_score_gemma":0.00039966442,"teacher_disagreement_score":0.37307015,"about_ca_system_score_codex":0.00006572725,"about_ca_system_score_gemma":0.000029972589,"threshold_uncertainty_score":0.99992156},"labels":[],"label_agreement":null},{"id":"W4404693331","doi":"10.32920/27901455.v1","title":"Immigrants and house prices: Myths and realities","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mythology; Immigration; House price; House of Representatives; Economics; Art; Political science; Literature; Econometrics; Politics; Law","score_opus":0.03153145776321465,"score_gpt":0.21699376241520021,"score_spread":0.18546230465198557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404693331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60583,0.011767981,0.00017374495,0.0010772685,0.0012713501,0.00028034355,0.00029936078,0.00031466532,0.3789853],"genre_scores_gemma":[0.961699,0.03029531,0.001287685,0.00033560835,0.0002866782,0.000036281588,0.000020903137,0.00012341476,0.005915137],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983265,0.000006962359,0.0005943197,0.0007750217,0.000017114946,0.0002800865],"domain_scores_gemma":[0.9992185,0.000059915685,0.00021072848,0.00038800115,0.000011152183,0.00011170844],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005243426,0.00028843083,0.00062619697,0.00030080831,0.000071115195,0.00057096395,0.00015405801,0.0003220162,0.00014212492],"category_scores_gemma":[0.000038218997,0.00032361769,0.00009170553,0.000052925465,0.00010919347,0.00009128946,0.00097081304,0.00041034477,0.00028521917],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006935802,0.000096781165,0.045626298,0.004545952,0.00071062025,0.000043537984,0.010334971,0.00007054809,0.0000033243539,0.88106185,0.023276586,0.034160182],"study_design_scores_gemma":[0.00043337556,0.000049260685,0.008176518,0.00023326965,0.00005155309,0.000023735007,0.0007344634,0.008700901,0.000012915254,0.8651662,0.115212925,0.0012049205],"about_ca_topic_score_codex":0.0023062471,"about_ca_topic_score_gemma":0.00039966442,"teacher_disagreement_score":0.37307015,"about_ca_system_score_codex":0.00006572725,"about_ca_system_score_gemma":0.000029972589,"threshold_uncertainty_score":0.99992156},"labels":[],"label_agreement":null},{"id":"W4404694142","doi":"10.1007/s10640-024-00941-3","title":"Land Markets Anticipate Future Regulatory Boundary Changes","year":2024,"lang":"en","type":"article","venue":"Environmental and Resource Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Natural resource economics; Boundary (topology); Economics; Environmental resource management; Business; Microeconomics; Mathematics","score_opus":0.008779299928167741,"score_gpt":0.1646999484741727,"score_spread":0.15592064854600496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404694142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94370574,0.0110351,0.000014720216,0.0015087157,0.0009314003,0.00013259507,0.00022109339,0.00007998915,0.042370625],"genre_scores_gemma":[0.9820658,0.012218195,0.00013463487,0.0004777409,0.0010501854,0.000013724596,0.0000759804,0.000076591365,0.0038871265],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99860704,0.000014739008,0.00038682067,0.0006096477,0.00001886027,0.00036291222],"domain_scores_gemma":[0.9994068,0.000036858088,0.00011008605,0.0002915455,7.276787e-7,0.00015398429],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004709973,0.00024630086,0.00035592532,0.00017648815,0.00020328921,0.00027075654,0.00014877082,0.0001952651,0.00081168377],"category_scores_gemma":[0.0000029705218,0.00027770593,0.000102009,0.00003621577,0.00020115028,0.00020800493,0.00015114475,0.00022821258,0.00077520526],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004325582,0.00043497575,0.44282252,0.0007971817,0.0010861442,0.00018913363,0.0071038874,0.00038213577,0.00035633298,0.070801586,0.024563929,0.45102963],"study_design_scores_gemma":[0.00028117752,0.00004184136,0.048900615,0.000018696604,0.000012097973,0.000041118343,0.00021053274,0.0036154024,0.000037638623,0.0044111013,0.94202644,0.00040331777],"about_ca_topic_score_codex":0.000014505329,"about_ca_topic_score_gemma":0.000021256415,"teacher_disagreement_score":0.9174625,"about_ca_system_score_codex":0.0001664571,"about_ca_system_score_gemma":0.000010205314,"threshold_uncertainty_score":0.9999675},"labels":[],"label_agreement":null},{"id":"W4404773478","doi":"10.1016/j.adiac.2024.100782","title":"Climate risk and asymmetric cost behavior","year":2024,"lang":"en","type":"article","venue":"Advances in Accounting","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Environmental science; Accounting; Economics; Econometrics","score_opus":0.013475500864875591,"score_gpt":0.24885159626040806,"score_spread":0.23537609539553248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404773478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7252069,0.045258928,0.0016299258,0.000058006888,0.0020784645,0.0002933791,0.00010877171,0.000148488,0.22521715],"genre_scores_gemma":[0.96176684,0.03614325,0.0017747906,0.000049976385,0.00014552675,0.000038145,0.0000057508782,0.000030436706,0.000045310626],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987871,0.000006937504,0.00045347595,0.00039962144,0.00001786714,0.00033496766],"domain_scores_gemma":[0.9995198,0.00015236618,0.00014315199,0.00014456957,0.000007014218,0.000033078057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089915376,0.00012368143,0.00024308244,0.00046299613,0.000096719545,0.00027003133,0.00011080894,0.00006678738,0.00007161857],"category_scores_gemma":[0.00014693319,0.0001496744,0.000041622512,0.00044785722,0.000042828797,0.0011537134,0.00008144273,0.00021588372,0.00029746033],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029117573,0.000011929899,0.5657611,0.00005168078,0.00000286412,0.000007984946,0.00007067704,0.00006605418,6.7331234e-7,0.0143895885,0.000013969232,0.4196206],"study_design_scores_gemma":[0.00070393394,0.000041494568,0.17426293,0.00021712985,0.000027842572,0.000026487882,0.00020294511,0.07186683,0.000024444345,0.029898508,0.7218253,0.0009021259],"about_ca_topic_score_codex":0.000077330085,"about_ca_topic_score_gemma":0.00010395933,"teacher_disagreement_score":0.72181135,"about_ca_system_score_codex":0.00008895825,"about_ca_system_score_gemma":0.0000063083708,"threshold_uncertainty_score":0.6103545},"labels":[],"label_agreement":null},{"id":"W4404931680","doi":"10.3390/risks12120192","title":"Nonparametric Testing for Information Asymmetry in the Mortgage Servicing Market","year":2024,"lang":"en","type":"article","venue":"Risks","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Information asymmetry; Nonparametric statistics; Asymmetry; Mortgage underwriting; Business; Commercial mortgage-backed security; Econometrics; Economics; Actuarial science; Mortgage insurance; Finance; Physics","score_opus":0.07103160569246285,"score_gpt":0.26894788983913576,"score_spread":0.1979162841466729,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404931680","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41321427,0.0010534577,0.0110878395,0.00064287847,0.0011011832,0.0005850176,0.00011780496,0.00011767749,0.5720799],"genre_scores_gemma":[0.9969751,0.000085408996,0.0022031711,0.00041628187,0.00014130746,0.00004745964,0.000017628114,0.000016551403,0.00009707934],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904156,0.000013053676,0.0004989108,0.00017761538,0.000021692313,0.00024718378],"domain_scores_gemma":[0.99900144,0.0006406025,0.00011811998,0.0002009191,0.000014306891,0.000024627341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020895612,0.000103265775,0.00018563888,0.0005292782,0.00009027344,0.0003704617,0.00020576808,0.000081714796,0.000052304156],"category_scores_gemma":[0.00051075,0.00009868546,0.000073701296,0.0008420185,0.000013086341,0.00058074755,0.00003137814,0.00018509445,0.00026852923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054631626,0.00009022395,0.37750456,0.0010724685,0.000088479064,0.000012205162,0.0044632726,0.0027482426,0.0000038712355,0.111410856,0.020266576,0.4822846],"study_design_scores_gemma":[0.00043967486,0.00006893319,0.12557858,0.00007940176,0.000012207649,0.00001113859,0.00046098756,0.6571008,0.000008703921,0.032484613,0.18340193,0.00035300647],"about_ca_topic_score_codex":0.00045664638,"about_ca_topic_score_gemma":0.000038533566,"teacher_disagreement_score":0.65435255,"about_ca_system_score_codex":0.00010569228,"about_ca_system_score_gemma":0.000019548683,"threshold_uncertainty_score":0.4024276},"labels":[],"label_agreement":null},{"id":"W4405023408","doi":"10.2139/ssrn.5044295","title":"Split Incentives and Energy Efficiency Investment: Evidence from the Housing Market","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Incentive; Investment (military); Economics; Business; Natural resource economics; Microeconomics; Monetary economics","score_opus":0.019923026057070723,"score_gpt":0.215026120927015,"score_spread":0.1951030948699443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405023408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6486469,0.28830948,0.0061798696,0.003954612,0.0033369663,0.00020938074,0.00012142906,0.000087785425,0.049153604],"genre_scores_gemma":[0.8263174,0.17049424,0.00016067021,0.00036453674,0.00092517264,0.000012391915,0.000009108693,0.00007080778,0.001645607],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99653333,0.00009372788,0.00085298665,0.0007838759,0.000069229674,0.0016668666],"domain_scores_gemma":[0.99840575,0.00028257942,0.00067714206,0.00049457664,0.000028856686,0.00011110891],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0036559955,0.00038824597,0.00057605986,0.00022532468,0.00035533804,0.00091218174,0.00073514663,0.00027163248,0.0001574022],"category_scores_gemma":[0.00019934164,0.00035074702,0.00025974886,0.00015719673,0.0001755181,0.00020331788,0.0010480068,0.0032228988,0.00008925608],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013094147,0.000090380345,0.020636367,0.000099128854,0.00093517086,0.000017846196,0.0019636042,0.0003478313,0.000008985971,0.9126155,0.0024390675,0.060715176],"study_design_scores_gemma":[0.00018612223,0.000053129846,0.0014350188,0.00038235352,0.00006288016,0.00003814435,0.00036596632,0.008571598,0.000004414071,0.9751015,0.013372681,0.000426247],"about_ca_topic_score_codex":0.0019305819,"about_ca_topic_score_gemma":0.0014676402,"teacher_disagreement_score":0.17767058,"about_ca_system_score_codex":0.0015454545,"about_ca_system_score_gemma":0.0011008416,"threshold_uncertainty_score":0.99989444},"labels":[],"label_agreement":null},{"id":"W4405140453","doi":"10.54097/51tzcd54","title":"The Contrarian Challenges Facing Behavioral Finance","year":2024,"lang":"en","type":"article","venue":"Frontiers in Business Economics and Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University; Touro University California","keywords":"Contrarian; Behavioral economics; Business; Finance","score_opus":0.023332706497384652,"score_gpt":0.19917502218609975,"score_spread":0.1758423156887151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405140453","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27372798,0.24176782,0.018833604,0.035881314,0.027634036,0.002010521,0.00015368413,0.00029731516,0.39969373],"genre_scores_gemma":[0.42756993,0.56908435,0.0017003561,0.000086392996,0.00012717002,0.000086480235,0.000008295062,0.00004175997,0.001295262],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985216,0.000008422856,0.00053453294,0.00053748937,0.000012849218,0.00038505674],"domain_scores_gemma":[0.99950767,0.000026646654,0.00010844045,0.00030717684,0.000008344722,0.00004171104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006602068,0.00019494111,0.00034324016,0.00027939508,0.00018116941,0.0004946303,0.00024184918,0.000081416074,0.000008089796],"category_scores_gemma":[0.000006271847,0.00020139979,0.00006130449,0.00014170629,0.000103944,0.00034704435,0.00013386048,0.00010712456,0.000040634088],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001845813,0.00002637489,0.0016349383,0.000115609444,0.000063065025,0.000016032742,0.00023953628,0.0004889671,7.787781e-8,0.7674253,0.0022116157,0.22776002],"study_design_scores_gemma":[0.0003594626,0.000012503979,0.012247556,0.00005239202,0.000010556683,0.0000032375901,0.00032907721,0.03234516,7.7927587e-7,0.060387474,0.893954,0.00029780375],"about_ca_topic_score_codex":0.00009119529,"about_ca_topic_score_gemma":0.00024634568,"teacher_disagreement_score":0.8917424,"about_ca_system_score_codex":0.00018214437,"about_ca_system_score_gemma":0.000013816281,"threshold_uncertainty_score":0.82128453},"labels":[],"label_agreement":null},{"id":"W4405248667","doi":"10.1080/00343404.2024.2425215","title":"Understanding the interconnectedness of house prices between cities and regions during COVID-19: evidence from Australia","year":2024,"lang":"en","type":"article","venue":"Regional Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); House price; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Regional studies; Economic geography; Geography; Economics; Regional science; Regional development; Econometrics; Outbreak; Virology; Medicine","score_opus":0.4862109008982164,"score_gpt":0.34582111855102154,"score_spread":0.14038978234719485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405248667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9695099,0.01914801,0.0029068165,0.0075227614,0.00032502256,0.000113561044,0.00006386858,0.000083007144,0.00032705895],"genre_scores_gemma":[0.9881199,0.011252443,0.00008319476,0.000065100176,0.00020146093,0.000011873622,0.000002227803,0.000018661629,0.00024513603],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990721,0.000018410292,0.000386123,0.00031601894,0.000033699172,0.00017364678],"domain_scores_gemma":[0.9982938,0.0013103097,0.00015719785,0.00016077435,0.000015073387,0.00006281839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039812503,0.00013329965,0.00034868723,0.00014146407,0.000369336,0.0001378183,0.00016141839,0.000053527805,0.000029318911],"category_scores_gemma":[0.00032711917,0.000113317976,0.000083944746,0.00015580695,0.0005135004,0.0002703731,0.00013843791,0.00011859541,0.000019839135],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070027454,0.000020030835,0.41065472,0.0010509721,0.0016467741,0.000021148342,0.050267003,0.00022790361,0.000028906668,0.5282632,0.0075984406,0.00015083523],"study_design_scores_gemma":[0.0005486015,0.000093614,0.15510476,0.0015133785,0.00015921184,0.000021986194,0.03178087,0.00062999304,0.000068439695,0.77663255,0.032675263,0.00077135453],"about_ca_topic_score_codex":0.00081649143,"about_ca_topic_score_gemma":0.00035376835,"teacher_disagreement_score":0.25554997,"about_ca_system_score_codex":0.00029843938,"about_ca_system_score_gemma":0.00003080586,"threshold_uncertainty_score":0.4620973},"labels":[],"label_agreement":null},{"id":"W4405317212","doi":"10.1016/j.jocm.2024.100535","title":"Location choice of residential housing supply: An application of the multiple discrete-continuous extreme value (MDCEV) model","year":2024,"lang":"en","type":"article","venue":"Journal of Choice Modelling","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Discrete choice; Value (mathematics); Econometrics; Economics; Extreme value theory; Business; Statistics; Mathematics","score_opus":0.04952255018475651,"score_gpt":0.2495570566271881,"score_spread":0.2000345064424316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405317212","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48977146,0.0009612413,0.5082033,0.00014623748,0.00036796625,0.00010304508,0.000016467357,0.000009117708,0.00042114945],"genre_scores_gemma":[0.9933649,0.0002903171,0.0057458216,0.000022989676,0.0004674834,0.0000029649625,0.000004652494,0.000044677246,0.000056239856],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998054,0.000031871412,0.0013597696,0.00025264727,0.0000992714,0.00020242929],"domain_scores_gemma":[0.99803793,0.00018199488,0.001198499,0.0003609857,0.00015321521,0.00006737497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011216939,0.00015199301,0.0004634581,0.0002957457,0.00009241518,0.00010753112,0.00041037676,0.00012227044,0.000009505982],"category_scores_gemma":[0.00013203602,0.00014396613,0.00024588619,0.00027925143,0.000063318534,0.0008160374,0.000050423518,0.00028403435,0.0000042285083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003854035,0.00006115433,0.014318116,0.00015615871,0.000052298805,4.0383634e-7,0.00062329834,0.976536,0.0013184377,0.00507851,0.000037224265,0.0017798523],"study_design_scores_gemma":[0.00033522444,0.000035947356,0.0009402832,0.00020374272,0.000047184483,0.0000039287374,0.00004795941,0.98222864,0.0011861428,0.0141689535,0.0006585539,0.00014341802],"about_ca_topic_score_codex":0.0009111764,"about_ca_topic_score_gemma":0.00016099772,"teacher_disagreement_score":0.5035934,"about_ca_system_score_codex":0.00014302369,"about_ca_system_score_gemma":0.000101343314,"threshold_uncertainty_score":0.58707684},"labels":[],"label_agreement":null},{"id":"W4405412754","doi":"10.1016/j.jebo.2024.106846","title":"The cost of the COVID-19 crisis: Lockdowns, macroeconomic expectations, and consumer spending","year":2024,"lang":"en","type":"article","venue":"Journal of Economic Behavior & Organization","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Booth University College","funders":"Directorate for Social, Behavioral and Economic Sciences","keywords":"Coronavirus disease 2019 (COVID-19); Economics; Consumer spending; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Monetary economics; Macroeconomics; Recession; Virology; Medicine; Internal medicine","score_opus":0.0296345755240767,"score_gpt":0.26456787676622023,"score_spread":0.23493330124214354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405412754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98748213,0.0028431378,0.0011640664,0.0042324336,0.0030761014,0.00031762864,0.00008371407,0.000022779117,0.00077799585],"genre_scores_gemma":[0.9976076,0.0017498296,0.00011194525,0.00014964106,0.00018061257,0.000005957679,0.000007243237,0.000045036522,0.00014214525],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99828136,0.000033963905,0.0012314552,0.000225774,0.000025352858,0.00020208448],"domain_scores_gemma":[0.9986717,0.00016610828,0.00074388966,0.00025825377,0.000042703978,0.000117340285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094124186,0.00015049816,0.00034695864,0.00022777838,0.00031893753,0.0003463421,0.00033664083,0.00009492667,0.00047754875],"category_scores_gemma":[0.00016790247,0.0001141614,0.00012849801,0.000130133,0.000134598,0.0004524487,0.00008984484,0.0002005867,0.00014923693],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075087664,0.00014382023,0.8024904,0.000174014,0.00047760207,0.000018087192,0.0067716544,0.0015865619,0.0006967177,0.142231,0.03633824,0.00899679],"study_design_scores_gemma":[0.0067107966,0.00043554796,0.15009311,0.00025568993,0.0013524027,0.003190704,0.020097828,0.010929853,0.014198912,0.059457757,0.7303549,0.0029224886],"about_ca_topic_score_codex":0.000069163005,"about_ca_topic_score_gemma":0.00006284049,"teacher_disagreement_score":0.6940167,"about_ca_system_score_codex":0.00066669064,"about_ca_system_score_gemma":0.0001646147,"threshold_uncertainty_score":0.5228824},"labels":[],"label_agreement":null},{"id":"W4405546279","doi":"10.1007/978-981-97-8309-0_7","title":"Predicting Building Energy Demand Using Federated Learning with Attribute-Based Clustering","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Cluster analysis; Computer science; Energy demand; Artificial intelligence; Environmental economics; Economics","score_opus":0.015072956216459822,"score_gpt":0.18654553002508373,"score_spread":0.1714725738086239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405546279","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0061829584,0.0046626003,0.93547016,0.000066368535,0.0010437606,0.00020321182,0.000042952295,0.0004255552,0.051902436],"genre_scores_gemma":[0.9930617,0.000212314,0.0043472378,0.000059148464,0.00060034666,0.000013785284,0.00005922354,0.0004178675,0.0012283814],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975276,0.0000065447134,0.0008618054,0.00088668655,0.00006794755,0.00064942654],"domain_scores_gemma":[0.9989456,0.00028112388,0.0003561389,0.00027666366,0.000029640238,0.00011082261],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00047382768,0.0006739174,0.0009677893,0.0009362756,0.00015764697,0.0003705421,0.00020790969,0.00062731735,0.00013898555],"category_scores_gemma":[0.00013860497,0.0008125109,0.00018209477,0.0001939164,0.00003430372,0.00015967464,0.00013014916,0.0012358492,0.00001830788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021300175,0.000006414907,0.0032085064,0.00038173617,0.00013398018,0.00008116631,0.00008238437,0.99049634,0.000056947272,0.00465079,0.0000022091433,0.00087822566],"study_design_scores_gemma":[0.00040480585,0.000055671306,0.000026662998,0.0017196013,0.000039851497,0.000032588876,0.0000016478028,0.9818092,0.00015235921,0.0032638996,0.011561597,0.00093211787],"about_ca_topic_score_codex":0.00022364063,"about_ca_topic_score_gemma":0.0015454044,"teacher_disagreement_score":0.98687875,"about_ca_system_score_codex":0.0007654988,"about_ca_system_score_gemma":0.000062405066,"threshold_uncertainty_score":0.99943256},"labels":[],"label_agreement":null},{"id":"W4406097595","doi":"10.2139/ssrn.5084505","title":"Heterogeneity in House Price Expectations: Evidence from Survey Data","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"House price; Survey data collection; Economics; Econometrics; Statistics; Mathematics","score_opus":0.10521331475662363,"score_gpt":0.29670314501976436,"score_spread":0.19148983026314073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406097595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9102646,0.054883625,0.026959034,0.0005557453,0.0023494733,0.00044646804,0.0014972265,0.000093326445,0.0029505158],"genre_scores_gemma":[0.9062556,0.09197431,0.00069508475,0.000071305694,0.00034740547,0.000018807104,0.0002826259,0.000057102916,0.00029774682],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9953824,0.00020896018,0.0014073633,0.0011215784,0.000062212384,0.0018174311],"domain_scores_gemma":[0.99671346,0.0005155305,0.0010421079,0.0015743749,0.000058918427,0.000095582094],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.007328694,0.0003618714,0.0008492907,0.0005509888,0.00015149337,0.00036849303,0.0022999682,0.00038345475,0.00006454838],"category_scores_gemma":[0.001498061,0.0004675368,0.00016765615,0.00028126276,0.000046582267,0.00059278373,0.0013043291,0.0037964596,0.00020413376],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025294724,0.0002953972,0.9735356,0.000080852384,0.00085351814,0.000011127426,0.0011950706,0.0030831296,0.0000023237953,0.009957091,0.0007783357,0.009954631],"study_design_scores_gemma":[0.0014211809,0.00010207219,0.15879703,0.00070617517,0.000063285996,0.000028695025,0.0008204693,0.025129374,0.000014426636,0.80925703,0.0020361815,0.0016240595],"about_ca_topic_score_codex":0.011309308,"about_ca_topic_score_gemma":0.08119828,"teacher_disagreement_score":0.8147386,"about_ca_system_score_codex":0.0027846745,"about_ca_system_score_gemma":0.0028305617,"threshold_uncertainty_score":0.9997776},"labels":[],"label_agreement":null},{"id":"W4406104341","doi":"10.54254/2754-1169/2024.19450","title":"Study of the Factors Influencing House Prices in California, USA","year":2025,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Langley Environmental Partners Society","funders":"","keywords":"Pace; House price; Real estate; Value (mathematics); Regression analysis; Variables; GRASP; Outcome (game theory); Affect (linguistics); Linear regression; Population; Econometrics; Actuarial science; Economics; Marketing; Business; Psychology; Demography; Statistics; Computer science; Geography; Microeconomics; Mathematics; Finance; Sociology","score_opus":0.02108357927974181,"score_gpt":0.2559276645563302,"score_spread":0.2348440852765884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406104341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84637135,0.0002604886,0.000018380599,0.00015885704,0.00027250216,0.00017809581,0.000006511662,0.000006528306,0.15272729],"genre_scores_gemma":[0.9986015,0.0009805843,0.00014763464,0.00014015072,0.000009137259,0.000013358797,2.0839998e-7,0.0000053777453,0.00010208038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998594,0.000014816399,0.0006249807,0.00037198782,0.000020243058,0.00037398035],"domain_scores_gemma":[0.9994661,0.00013685845,0.00016703903,0.00018703662,0.0000040847967,0.00003887703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061810605,0.00012035189,0.00030284765,0.0003611554,0.00011249274,0.00007384959,0.0004031598,0.00003757629,0.000013710016],"category_scores_gemma":[0.000046383124,0.00010567238,0.000036529378,0.00036600712,0.0002828582,0.00043111373,0.00024584986,0.00009014356,0.0000070101178],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028027043,0.000057499088,0.6214342,0.000017156673,0.000004796401,2.7426472e-7,0.00018191217,0.00069945946,3.8858904e-8,0.37663925,0.0000012162,0.0009613499],"study_design_scores_gemma":[0.000517048,0.000051896834,0.7989367,0.000035625537,0.000005506993,1.7956415e-7,0.0049840617,0.0012522652,0.0000088756415,0.18715532,0.006876759,0.0001757689],"about_ca_topic_score_codex":0.00083553424,"about_ca_topic_score_gemma":0.004362392,"teacher_disagreement_score":0.18948394,"about_ca_system_score_codex":0.0001258487,"about_ca_system_score_gemma":0.000015016292,"threshold_uncertainty_score":0.43091947},"labels":[],"label_agreement":null},{"id":"W4406125549","doi":"10.1007/s12061-024-09627-1","title":"Associations Between Cycling Facilities and Residential Property Values: A Case Study in a Growing Mid-sized City in Canada","year":2025,"lang":"en","type":"article","venue":"Applied Spatial Analysis and Policy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"China Scholarship Council; Social Sciences and Humanities Research Council of Canada; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Cycling; Transport engineering; Human geography; Business; Property value; Mode of transport; Geography; Environmental planning; Environmental resource management; Environmental science; Engineering; Public transport; Economic geography; Forestry; Real estate; Finance","score_opus":0.026286466881468823,"score_gpt":0.2479187237505413,"score_spread":0.22163225686907248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406125549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930788,0.000048556845,0.00025780287,0.0003513179,0.00003124615,0.00023977099,0.00014378676,0.000007579377,0.005841087],"genre_scores_gemma":[0.99951255,0.000060329017,0.000038120295,0.00009768706,0.00006467268,0.000025043111,0.000019151188,0.0000065520667,0.00017587225],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985307,0.00003849059,0.00076018827,0.0003822123,0.000030195739,0.0002582173],"domain_scores_gemma":[0.9994457,0.00015321672,0.00017459049,0.00015811299,0.000010429933,0.00005798358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071184005,0.00014130874,0.0007352061,0.00088126236,0.00017293991,0.00011638092,0.00007872759,0.000064800166,0.000021332493],"category_scores_gemma":[0.00010078364,0.0001452428,0.000058852034,0.00084955746,0.000028979466,0.00010657832,0.00009493026,0.00014693374,0.0000010275465],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012219407,0.000032337928,0.99174094,0.0000116654655,0.00028411453,0.000017234388,0.0023386294,0.0002662869,0.000001982896,0.0006303537,0.000008699032,0.0046555065],"study_design_scores_gemma":[0.0013772377,0.000013663677,0.9831299,0.000008000314,0.0001524441,9.39742e-7,0.0038274718,0.0050980113,0.000012422017,0.005939332,0.00015799413,0.00028258018],"about_ca_topic_score_codex":0.9959598,"about_ca_topic_score_gemma":0.995234,"teacher_disagreement_score":0.008611066,"about_ca_system_score_codex":0.0004744951,"about_ca_system_score_gemma":0.0002557384,"threshold_uncertainty_score":0.59228295},"labels":[],"label_agreement":null},{"id":"W4406149382","doi":"10.2139/ssrn.5083773","title":"Time Consistent Infrastructure Investments: Optimal Flood Protection Policies in Spatial Equilibrium","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"General equilibrium theory; Flood myth; Investment (military); Population; Developing country; Capitalization; Urban sprawl; Economics; Business; Natural resource economics; Public economics; Land use; Microeconomics; Economic growth; Geography; Civil engineering; Engineering","score_opus":0.008645505778472297,"score_gpt":0.20041667206348726,"score_spread":0.19177116628501498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406149382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9635423,0.0011347497,0.005537619,0.0015034059,0.0006838437,0.00027955635,0.000011501366,0.00003558009,0.02727146],"genre_scores_gemma":[0.99638706,0.0009624709,0.00016626307,0.0002453219,0.0002310433,0.00001393908,0.0000065381623,0.000023140272,0.001964201],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976327,0.000033814184,0.00066469907,0.0002747887,0.000030996805,0.0013629958],"domain_scores_gemma":[0.9994416,0.000016553438,0.00028404428,0.00017733361,0.00002455904,0.00005589664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011272271,0.00018125537,0.0003582619,0.00051775,0.000118488286,0.00013005077,0.00022946614,0.00014869077,0.000116404335],"category_scores_gemma":[0.00010215044,0.00021035143,0.00012088595,0.00026025498,0.00007312653,0.00028047856,0.0000734104,0.0010998269,0.00013074728],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064947293,0.000469148,0.09762803,0.00011173123,0.00083781744,0.000011553161,0.0013802052,0.015946718,0.00061312044,0.8209412,0.0010986539,0.06031236],"study_design_scores_gemma":[0.0033829173,0.00038805653,0.024790619,0.0000775835,0.000029047842,0.0001697011,0.0007611593,0.027751528,0.00016722965,0.9269414,0.0148967765,0.00064396876],"about_ca_topic_score_codex":0.0004914833,"about_ca_topic_score_gemma":0.00044336077,"teacher_disagreement_score":0.10600022,"about_ca_system_score_codex":0.001863937,"about_ca_system_score_gemma":0.00074100966,"threshold_uncertainty_score":0.85778826},"labels":[],"label_agreement":null},{"id":"W4406193241","doi":"10.4236/jtts.2025.151005","title":"Estimating Isochrone Map Uncertainty for an Individual Cycle Commuter at Okanagan College, Kelowna, British Columbia, and Its Impact on Available Housing Choice","year":2025,"lang":"en","type":"article","venue":"Journal of Transportation Technologies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Engineering; Transport engineering","score_opus":0.022891059772211765,"score_gpt":0.2531623065207505,"score_spread":0.23027124674853874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406193241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995808,0.00078819983,0.001134911,0.00041461858,0.00032793544,0.00024021453,0.000657897,0.00008938801,0.0005388393],"genre_scores_gemma":[0.99324805,0.00027421713,0.0060074404,0.0000895411,0.00003747045,0.00001098316,0.00004359812,0.000020417068,0.00026830487],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99869555,0.000009010798,0.00078023603,0.00023190162,0.00004032735,0.00024297035],"domain_scores_gemma":[0.99890786,0.00014817576,0.00066668814,0.00015486001,0.00008156036,0.000040851144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059649086,0.00012680107,0.00047110394,0.00026006068,0.00031970258,0.00026136564,0.00025815918,0.00018918245,0.000084788844],"category_scores_gemma":[0.00012841412,0.0001795096,0.00012428043,0.00017971355,0.00007254395,0.00047184838,0.00001600511,0.00021205228,0.0000052482783],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056306855,0.000804719,0.77213186,0.001059893,0.0011584236,0.00005154895,0.0011559221,0.051544014,0.0002494261,0.0037885543,0.06849904,0.09899353],"study_design_scores_gemma":[0.014755482,0.0041931467,0.65613365,0.0019891614,0.00045882957,0.00007375255,0.0036992372,0.15513399,0.0017393703,0.118363164,0.041090745,0.0023694322],"about_ca_topic_score_codex":0.0010458146,"about_ca_topic_score_gemma":0.011047235,"teacher_disagreement_score":0.11599818,"about_ca_system_score_codex":0.00022523054,"about_ca_system_score_gemma":0.000047737485,"threshold_uncertainty_score":0.7320189},"labels":[],"label_agreement":null},{"id":"W4406270215","doi":"10.2139/ssrn.5027026","title":"Partisan Expectations and Behavior in the U.S. Housing Market","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Politics; Database transaction; Power (physics); Demographic economics; Transaction data; Property (philosophy); Predictive power; Economics; Business; Political science; Public economics; Law; Computer science; Database","score_opus":0.020313613311356095,"score_gpt":0.23978811896700827,"score_spread":0.21947450565565219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406270215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9049071,0.014296805,0.0021646312,0.0019893195,0.0011171737,0.00047449826,0.000070810645,0.000030651918,0.074949],"genre_scores_gemma":[0.9822389,0.01640649,0.00016669715,0.000117228,0.0002335141,0.00006046576,0.000011009355,0.000022450351,0.0007432643],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99749565,0.000071844916,0.00071966904,0.00038236458,0.000034409903,0.0012960845],"domain_scores_gemma":[0.9990893,0.00009527646,0.0004372507,0.00031764677,0.000017561695,0.000042943164],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0027150882,0.0002239071,0.0004200919,0.0004100315,0.00023438685,0.00034401123,0.00044673562,0.00021165672,0.000064870124],"category_scores_gemma":[0.00008840646,0.0002286983,0.00015603677,0.00014434951,0.000058065114,0.00013344214,0.00017126164,0.002800605,0.000016034463],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000957054,0.00046584182,0.28740185,0.00011088507,0.00028755318,0.000027955824,0.005830656,0.00030887054,0.0000010552066,0.6191363,0.0015747362,0.084758624],"study_design_scores_gemma":[0.0007719025,0.0000831206,0.0361931,0.000085419124,0.00008245846,0.00013318381,0.0063889734,0.002168732,0.0000011320658,0.94881433,0.0046879943,0.0005896338],"about_ca_topic_score_codex":0.00028764046,"about_ca_topic_score_gemma":0.003324975,"teacher_disagreement_score":0.3296781,"about_ca_system_score_codex":0.0008483032,"about_ca_system_score_gemma":0.0006763471,"threshold_uncertainty_score":0.9995},"labels":[],"label_agreement":null},{"id":"W4406409298","doi":"10.1177/10780874241303105","title":"The Impact of Congestion Pricing Plan on the Value of Residential Properties: Evidence from Tehran","year":2025,"lang":"en","type":"article","venue":"Urban Affairs Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Zoning; Valuation (finance); Traffic congestion; Limiting; Work (physics); Congestion pricing; Value (mathematics); Difference in differences; Road pricing; Business; Public economics; Economics; Transport engineering; Finance; Econometrics","score_opus":0.05373869872880553,"score_gpt":0.25552521609447537,"score_spread":0.20178651736566983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406409298","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41889954,0.4224749,0.00030054123,0.0069077383,0.0009644819,0.0020777676,0.00012064805,0.00004885811,0.14820555],"genre_scores_gemma":[0.89438325,0.10517452,0.000028736815,0.000067002424,0.000044969653,0.000019381701,0.0000029772048,0.000011000979,0.0002681566],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986256,0.00008730449,0.00084172894,0.00023518,0.00003801578,0.00017217906],"domain_scores_gemma":[0.9982286,0.0005217847,0.00060437125,0.0005813168,0.000037513568,0.000026385316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014731337,0.00013914268,0.00051864586,0.00007211706,0.00012322924,0.000047482346,0.0004299785,0.000053506796,0.00012614172],"category_scores_gemma":[0.001222942,0.00008455918,0.00025605067,0.00022997557,0.00014864327,0.0001140025,0.00006638821,0.00013946238,0.000060203878],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011512934,0.0005469203,0.23589931,0.009556553,0.002338001,0.0000053525514,0.004713417,0.00337519,0.0007565294,0.41571665,0.23236653,0.093574256],"study_design_scores_gemma":[0.0040010726,0.002394879,0.37991852,0.22066508,0.0011078508,0.000011593318,0.002279764,0.050728593,0.005884476,0.11003094,0.2194586,0.0035186359],"about_ca_topic_score_codex":0.0011665944,"about_ca_topic_score_gemma":0.00004086075,"teacher_disagreement_score":0.47548372,"about_ca_system_score_codex":0.00012871256,"about_ca_system_score_gemma":0.000076758304,"threshold_uncertainty_score":0.34482232},"labels":[],"label_agreement":null},{"id":"W4406531997","doi":"10.12794/metadc1944344","title":"The Economic Impact of Expenditures by Local Governments and Nonprofits on Property Values: Evidence from 41 Large Texas Cities","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Property value; Property (philosophy); Public economics; Economics; Political science; Business; Finance","score_opus":0.021405257627469094,"score_gpt":0.25369317494966065,"score_spread":0.23228791732219156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406531997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8904007,0.0048416564,0.000031319254,0.00004976716,0.00132524,0.0004489667,0.0023953437,0.000026742655,0.10048024],"genre_scores_gemma":[0.9590081,0.009052523,0.000022446822,0.000060620474,0.00012890655,0.00006210801,0.0007039809,0.0000788402,0.03088249],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9979325,0.00004178378,0.00088163174,0.0006813358,0.00007288547,0.00038987253],"domain_scores_gemma":[0.9981337,0.00037658203,0.0008816947,0.00050740805,0.000010708433,0.00008986628],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006638818,0.00038882298,0.0007223278,0.000104573686,0.00032834796,0.00021197395,0.0005070973,0.00022779482,0.0042588077],"category_scores_gemma":[0.000072645664,0.00028424637,0.00026358487,0.00003193217,0.00008791274,0.00028520625,0.00011620065,0.00034669988,0.00021661585],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00586972,0.00056131766,0.40671152,0.000662247,0.004044184,0.000013155628,0.009556355,0.0028532168,0.00011073478,0.024229739,0.500902,0.04448581],"study_design_scores_gemma":[0.008462933,0.0052462146,0.4029034,0.0015849593,0.00041394102,0.00000961617,0.036525898,0.07633871,0.0047430485,0.055173833,0.3998307,0.008766743],"about_ca_topic_score_codex":0.010670988,"about_ca_topic_score_gemma":0.0013824388,"teacher_disagreement_score":0.101071276,"about_ca_system_score_codex":0.0014739431,"about_ca_system_score_gemma":0.00016208373,"threshold_uncertainty_score":0.99996096},"labels":[],"label_agreement":null},{"id":"W4406572723","doi":"10.1016/j.regsciurbeco.2025.104087","title":"Leases over real property","year":2025,"lang":"en","type":"article","venue":"Regional Science and Urban Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Property (philosophy); Real property; Business; Economics; Law and economics; Law; Political science","score_opus":0.03125522079255963,"score_gpt":0.21950638245644574,"score_spread":0.1882511616638861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406572723","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6031947,0.00026610403,0.000046768808,0.0016809038,0.00037117655,0.000111349254,0.000013959883,0.000031230913,0.39428383],"genre_scores_gemma":[0.9846988,0.0038959498,0.00029712068,0.001801259,0.0001580537,0.000013423889,0.0000048589945,0.000013836594,0.009116749],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986288,0.0000046892624,0.00040147855,0.00057677156,0.00002371026,0.00036454626],"domain_scores_gemma":[0.99935025,0.000042968575,0.00015476193,0.00028587625,0.000037583814,0.0001285701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080542883,0.0001428207,0.00028326435,0.00032105576,0.00036144216,0.00024829144,0.00033890727,0.00007335743,0.000079399084],"category_scores_gemma":[0.00007729054,0.00013585613,0.00006249718,0.0002806372,0.0006314067,0.0006447048,0.00013749559,0.0000905013,0.000103264436],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027068423,0.000047163707,0.18485232,0.000015932555,0.000018555915,8.2110813e-7,0.00011910885,0.00004654126,0.000017698125,0.78611475,0.020969316,0.0077707027],"study_design_scores_gemma":[0.0005288892,0.000040258663,0.0893946,0.000021371892,0.000006125241,0.000006310596,0.00008225871,0.015507857,0.000029029605,0.059503905,0.83448654,0.0003928486],"about_ca_topic_score_codex":0.00051413034,"about_ca_topic_score_gemma":0.00008039914,"teacher_disagreement_score":0.8135172,"about_ca_system_score_codex":0.00030714308,"about_ca_system_score_gemma":0.00024475384,"threshold_uncertainty_score":0.5540052},"labels":[],"label_agreement":null},{"id":"W4406580667","doi":"10.1111/area.12992","title":"Place, institutional spatiality, and the localisation of financial calculative practices","year":2025,"lang":"en","type":"article","venue":"Area","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Business; Finance; Sociology","score_opus":0.035945528506710143,"score_gpt":0.24374735211890391,"score_spread":0.20780182361219376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406580667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7163408,0.0003790752,0.009588702,0.002296482,0.0003900356,0.00017637723,0.000041501185,0.000010330403,0.2707767],"genre_scores_gemma":[0.99916816,0.00015818665,0.00014493775,0.0002508479,0.000032144686,0.0000076113492,0.00000779653,0.0000022973488,0.00022803586],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99950534,0.000017253304,0.00026769858,0.00012823644,0.000012238367,0.00006921629],"domain_scores_gemma":[0.9993486,0.00017955647,0.00033407324,0.0001059742,0.000019593106,0.000012228072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005852604,0.00005207856,0.00016886987,0.00006517822,0.00010165591,0.000029186409,0.0000677291,0.000045834317,0.000047259422],"category_scores_gemma":[0.00072347396,0.00004655849,0.000034581288,0.0000925375,0.00021390017,0.00015297982,0.00004680856,0.00005837658,0.000011078989],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010506296,0.000020577452,0.065753,0.000018236913,0.000020244679,2.2864543e-7,0.00036779616,0.00035387295,8.7062494e-7,0.9299475,0.0004908344,0.0029218043],"study_design_scores_gemma":[0.003407422,0.000029082908,0.37677503,0.000050575327,0.0000307167,0.0000027824592,0.00013162206,0.09720841,0.000083983665,0.43534264,0.08670032,0.00023742387],"about_ca_topic_score_codex":0.0014115432,"about_ca_topic_score_gemma":0.00033931324,"teacher_disagreement_score":0.49460486,"about_ca_system_score_codex":0.00003469209,"about_ca_system_score_gemma":0.000050599047,"threshold_uncertainty_score":0.21338406},"labels":[],"label_agreement":null},{"id":"W4406678093","doi":"10.1111/eufm.12543","title":"Rising Tides, Sinking Approval Rates: Examining SLR Risk and Mortgage Credit Access","year":2025,"lang":"en","type":"article","venue":"European Financial Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Business; Mortgage underwriting; Economics; Mortgage insurance; Actuarial science","score_opus":0.035060388943805136,"score_gpt":0.2320291601284843,"score_spread":0.19696877118467915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406678093","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3145185,0.0005253959,0.028068008,0.0000826166,0.0011557637,0.0002910606,0.000021643342,0.00011227932,0.65522474],"genre_scores_gemma":[0.9917263,0.0015428895,0.0028300053,0.00050716806,0.0003376908,0.0000127952835,0.000015418385,0.000056963545,0.002970814],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9980487,0.00007010039,0.0007101145,0.00070760574,0.000036052515,0.0004274008],"domain_scores_gemma":[0.9990609,0.000060055103,0.00036777044,0.0004274735,0.000015930178,0.00006781999],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018447954,0.0002524394,0.0003911139,0.00044403493,0.0004317421,0.00058121874,0.00045683785,0.000052852127,0.00006194008],"category_scores_gemma":[0.00018538984,0.0003251156,0.000074824384,0.00035568062,0.00007625119,0.00040034764,0.0007412158,0.00024785468,0.00022689307],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009536156,0.00015238891,0.2550447,0.00042815486,0.00017981193,0.00018951403,0.0008308047,0.0008097246,0.0000052884407,0.22215623,0.012568424,0.50753963],"study_design_scores_gemma":[0.0011757008,0.000052254964,0.5430528,0.00018824788,0.00005354192,0.0000019110491,0.00013278979,0.003116594,0.000013964857,0.020590935,0.43100554,0.0006156989],"about_ca_topic_score_codex":0.00009924126,"about_ca_topic_score_gemma":0.00002283809,"teacher_disagreement_score":0.6772077,"about_ca_system_score_codex":0.000115429306,"about_ca_system_score_gemma":0.000013473911,"threshold_uncertainty_score":0.99992007},"labels":[],"label_agreement":null},{"id":"W4406923581","doi":"10.2139/ssrn.5052400","title":"Leverage and Rate of Return Heterogeneity among U.S. Households","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Leverage (statistics); Business; Rate of return; Economics; Monetary economics; Demographic economics; Statistics; Finance; Mathematics","score_opus":0.013558775648289834,"score_gpt":0.2070503305109319,"score_spread":0.19349155486264208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406923581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9777,0.0033137705,0.0032517659,0.00032849732,0.00028594278,0.00006659219,0.0000085311485,0.0000140373995,0.0150308795],"genre_scores_gemma":[0.97905654,0.019726224,0.000048351067,0.0000914752,0.00006041964,0.0000017023973,0.0000013982018,0.000016309117,0.0009975951],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983108,0.000026844846,0.00052484614,0.00021888876,0.000013608815,0.0009050198],"domain_scores_gemma":[0.9993861,0.000034883124,0.00032719583,0.00018153375,0.000020142079,0.00005014811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022707758,0.00012380056,0.00034441947,0.0001797464,0.00013013034,0.00006621443,0.00018335409,0.00009894031,0.000019271585],"category_scores_gemma":[0.00006277565,0.00014160074,0.000110680856,0.0001384763,0.00007714549,0.00021303323,0.000055286204,0.00062756706,0.000008613667],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006880342,0.000056635927,0.5293811,0.000028836022,0.00029768384,0.0000019374456,0.00012554984,0.00009300133,0.00006666808,0.45980632,0.00018951551,0.009883928],"study_design_scores_gemma":[0.0013608397,0.00015181211,0.10604013,0.000035871806,0.000026394819,0.000044873563,0.00019789877,0.0017142163,0.00046605495,0.88016254,0.009464583,0.00033481178],"about_ca_topic_score_codex":0.00018231788,"about_ca_topic_score_gemma":0.0007509706,"teacher_disagreement_score":0.423341,"about_ca_system_score_codex":0.00034150513,"about_ca_system_score_gemma":0.00024027964,"threshold_uncertainty_score":0.577431},"labels":[],"label_agreement":null},{"id":"W4407240089","doi":"10.1142/s3029104625500016","title":"Forecasting Residential Real Estate Prices via Machine Learning for Taizhou City of Zhejiang Province in China","year":2025,"lang":"en","type":"article","venue":"Journal of Urban Futures","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"China; Real estate; Business; Geography; Finance; Archaeology","score_opus":0.017592109979912927,"score_gpt":0.22391657414418975,"score_spread":0.20632446416427683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407240089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9731343,0.0007827611,0.0045134495,0.0003046406,0.0007407457,0.00016477813,0.000014162969,0.000008163329,0.020337043],"genre_scores_gemma":[0.9957186,0.0008908447,0.0025678575,0.000020512778,0.00032334018,0.0000025290242,0.0000035532444,0.000016510483,0.00045626526],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99844897,0.00002023324,0.0010901262,0.00017376697,0.00003431585,0.00023261494],"domain_scores_gemma":[0.99832374,0.00012620167,0.0013467837,0.00011014451,0.000048710204,0.00004441818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001323946,0.00012704868,0.0005182621,0.000523232,0.00010863863,0.00006498533,0.00024018734,0.00008916642,0.00002964225],"category_scores_gemma":[0.00032888592,0.00013402672,0.00018295963,0.00017826639,0.000036804195,0.00030127692,0.000053858126,0.00030037848,6.777871e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008313039,0.00014698843,0.9433996,0.00033744946,0.000158341,0.000021061447,0.0019253282,0.0043414976,0.00016998072,0.003907136,0.0020124575,0.04274882],"study_design_scores_gemma":[0.00708424,0.0011481695,0.7066799,0.00060435187,0.00011522277,0.00005796764,0.0007718936,0.1632113,0.0019034158,0.052785512,0.06465686,0.000981194],"about_ca_topic_score_codex":0.0008065415,"about_ca_topic_score_gemma":0.0011498986,"teacher_disagreement_score":0.23671977,"about_ca_system_score_codex":0.00012986509,"about_ca_system_score_gemma":0.00008299839,"threshold_uncertainty_score":0.5465451},"labels":[],"label_agreement":null},{"id":"W4407597088","doi":"10.1016/j.eneco.2025.108245","title":"Household benefits from energy efficiency retrofits: Implications for net zero housing policy","year":2025,"lang":"en","type":"article","venue":"Energy Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Environment and Climate Change Canada; Carleton University","funders":"Natural Resources Canada; Social Sciences and Humanities Research Council of Canada","keywords":"Economics; Natural resource economics; Zero (linguistics); Zero-energy building; Environmental economics; Zero emission; Energy (signal processing); Business; Environmental science; Public economics; Waste management; Engineering; Mathematics","score_opus":0.028339894402023974,"score_gpt":0.2183873809904448,"score_spread":0.19004748658842083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407597088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51987237,0.0036348284,0.2530991,0.0065465863,0.0034941554,0.00034984277,0.0040857107,0.0004446515,0.20847273],"genre_scores_gemma":[0.98780245,0.0037091158,0.002487979,0.0029875978,0.0007246711,0.00013968706,0.00036805542,0.00011627573,0.0016641878],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99713945,0.000014939211,0.0011734565,0.00096217426,0.000012736945,0.00069726346],"domain_scores_gemma":[0.9980253,0.00026563555,0.00055357657,0.00095189846,0.000040834115,0.0001627634],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003290443,0.00037371696,0.00074600574,0.0007154066,0.00042009106,0.00029215068,0.00065717404,0.00032901097,0.00004435814],"category_scores_gemma":[0.00013420994,0.00052509806,0.00031763766,0.0003870456,0.000096913274,0.00035207282,0.00018877997,0.00011850114,0.000019318892],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034944303,0.00008379405,0.025894376,0.000008704785,0.000109109125,1.552484e-7,0.00004517743,0.009104839,0.000009275213,0.9386476,0.0038516687,0.022210304],"study_design_scores_gemma":[0.0012115439,0.00004824998,0.0069577643,0.000026156547,0.00002647609,0.0000012202398,0.00002851804,0.033188302,0.0003125687,0.49305576,0.46440646,0.0007369926],"about_ca_topic_score_codex":0.004251528,"about_ca_topic_score_gemma":0.0012764408,"teacher_disagreement_score":0.46793005,"about_ca_system_score_codex":0.0006875501,"about_ca_system_score_gemma":0.00018522482,"threshold_uncertainty_score":0.99972004},"labels":[],"label_agreement":null},{"id":"W4407687409","doi":"10.2139/ssrn.5072985","title":"Time Consistent Infrastructure Investments: Optimal Flood Protection Policies in Spatial Equilibrium","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Flood myth; Business; Transport infrastructure; Natural resource economics; Environmental planning; Economics; Environmental science; Geography; Transport engineering; Engineering","score_opus":0.01322239765340948,"score_gpt":0.21167867928352677,"score_spread":0.19845628163011728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407687409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94767946,0.0037003087,0.007945154,0.0018688482,0.0029235624,0.0010166012,0.00019919821,0.00009369425,0.03457319],"genre_scores_gemma":[0.9875975,0.006199329,0.0005686323,0.00028090744,0.0011467134,0.00007302766,0.000081075465,0.00007733383,0.00397548],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9958888,0.00007368464,0.0012715287,0.00062557455,0.000062093786,0.0020782924],"domain_scores_gemma":[0.99848104,0.000024883793,0.0009254986,0.0004138862,0.000050970746,0.0001037483],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001837714,0.00043993382,0.00086558214,0.000891609,0.0001314303,0.00027862898,0.0005565262,0.0005688082,0.00016358722],"category_scores_gemma":[0.00015132487,0.0005368669,0.00032100634,0.00020219086,0.00010520353,0.00022757353,0.0004853026,0.004321215,0.00013053666],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017486517,0.0014076317,0.07438493,0.0013759732,0.0045595807,0.000051698666,0.006044491,0.2838032,0.00018498546,0.5250425,0.0024341042,0.0989623],"study_design_scores_gemma":[0.0022169547,0.0003017879,0.005299409,0.00026343684,0.00006272735,0.00016919634,0.00042659303,0.043256395,0.000044476874,0.9396038,0.00722668,0.0011285294],"about_ca_topic_score_codex":0.001467447,"about_ca_topic_score_gemma":0.0008070238,"teacher_disagreement_score":0.41456136,"about_ca_system_score_codex":0.004331841,"about_ca_system_score_gemma":0.0024663352,"threshold_uncertainty_score":0.9997083},"labels":[],"label_agreement":null},{"id":"W4408148118","doi":"10.31219/osf.io/3smwj_v1","title":"Local Housing Prices and Economic Anxiety","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Anxiety; Economics; Natural resource economics; Psychology; Psychiatry","score_opus":0.02223100042073422,"score_gpt":0.2184677748797179,"score_spread":0.1962367744589837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408148118","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18114133,0.00197547,0.031322733,0.0007210946,0.00257097,0.0003756179,0.0003423815,0.0001995295,0.78135085],"genre_scores_gemma":[0.9824624,0.008211045,0.0056246025,0.00047052166,0.0002825656,0.000032183474,0.000054813063,0.000048959857,0.0028128973],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.997729,0.00001019665,0.0008605515,0.0010013656,0.000013953076,0.00038492176],"domain_scores_gemma":[0.99876297,0.00005970386,0.00045402395,0.0005949961,0.000012570096,0.000115730465],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000613228,0.00036500653,0.0008385214,0.00034841918,0.00013140209,0.00037175216,0.00035862162,0.00049067126,0.000546056],"category_scores_gemma":[0.000021559863,0.00047151218,0.0001918703,0.00005139003,0.00013518988,0.00017521797,0.0010412899,0.00045466493,0.00032936508],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000085006344,0.00014461501,0.21956061,0.0013572879,0.0006282873,0.000006387635,0.00093454315,0.016117565,0.0000012871557,0.63959366,0.013455472,0.10811531],"study_design_scores_gemma":[0.0011653863,0.00004706251,0.0128894355,0.00022825038,0.00006927227,0.00000956396,0.00026957665,0.26038983,0.000082569044,0.2869642,0.4354515,0.0024333273],"about_ca_topic_score_codex":0.0019637707,"about_ca_topic_score_gemma":0.00058305153,"teacher_disagreement_score":0.8013211,"about_ca_system_score_codex":0.00041203442,"about_ca_system_score_gemma":0.00012377715,"threshold_uncertainty_score":0.9997737},"labels":[],"label_agreement":null},{"id":"W4408156871","doi":"10.3390/jrfm18030134","title":"Investing in Residential Real Estate: Understanding Homebuilder Exchange-Traded Fund Performance","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Real estate; Finance; Sovereign wealth fund; Economics; Microeconomics","score_opus":0.03747302495191364,"score_gpt":0.22675399034818255,"score_spread":0.18928096539626893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408156871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90177953,0.00050500897,0.012932037,0.00015749862,0.00090331066,0.00012386715,0.000006023624,0.000008959609,0.083583765],"genre_scores_gemma":[0.9377744,0.06078893,0.0010314501,0.000057534126,0.00013020547,0.00000258834,9.009412e-7,0.000010592152,0.00020335132],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99869376,0.000020987123,0.0007900717,0.00019920377,0.00003726128,0.00025870287],"domain_scores_gemma":[0.9992732,0.000051706877,0.0004904116,0.00011654145,0.00001431348,0.000053824046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012949109,0.00012791895,0.00037671314,0.00080429116,0.0001510287,0.00010891074,0.00015169235,0.0000756096,0.000017820208],"category_scores_gemma":[0.00006704491,0.00014756185,0.00007160953,0.00034014744,0.000054125143,0.00031525624,0.00009645465,0.00024717586,0.000006042948],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004080524,0.0001331725,0.5372451,0.00050120265,0.00007015494,0.000102008715,0.0025342696,0.00092439627,0.000002445406,0.12102832,0.0023960627,0.3346548],"study_design_scores_gemma":[0.003321975,0.00019704009,0.7840397,0.0005234953,0.00006883692,0.000012966981,0.0015692551,0.0028776494,0.000015931313,0.1266757,0.0801915,0.0005059485],"about_ca_topic_score_codex":0.00024517637,"about_ca_topic_score_gemma":0.00027531205,"teacher_disagreement_score":0.33414885,"about_ca_system_score_codex":0.0002662479,"about_ca_system_score_gemma":0.000031099804,"threshold_uncertainty_score":0.60173976},"labels":[],"label_agreement":null},{"id":"W4408156908","doi":"10.1038/s44284-025-00213-1","title":"Parallel scaling of elite wealth in ancient Roman and modern cities with implications for understanding urban inequality","year":2025,"lang":"en","type":"article","venue":"Nature Cities","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University","funders":"","keywords":"Elite; Inequality; Scaling; Economic geography; Geography; History; Political science; Mathematics","score_opus":0.0436832812855601,"score_gpt":0.26283704781900447,"score_spread":0.21915376653344437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408156908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.900727,0.003927984,0.062158223,0.0011586595,0.00017686647,0.00035336247,0.00026973736,0.000029230898,0.031198949],"genre_scores_gemma":[0.9973386,0.0004131796,0.001733342,0.00028057958,0.000026331558,0.000029802235,0.00002004416,0.000011094,0.00014700972],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99913526,0.000008607287,0.00039354144,0.0002467318,0.000014130548,0.00020171062],"domain_scores_gemma":[0.99945486,0.00014043174,0.0001770071,0.0001744029,0.000024217798,0.00002907953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046982875,0.00010356979,0.00031999353,0.00029148243,0.00011014256,0.00005305352,0.00009442437,0.00014154069,0.000004051427],"category_scores_gemma":[0.000060744078,0.00011333517,0.00004043244,0.00015528045,0.00009597095,0.00013071332,0.00003193661,0.0001586111,3.1305055e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004877413,0.0000158333,0.23987931,0.00017484774,0.000020582804,6.308027e-8,0.0011547172,0.00022803794,0.0000038728003,0.75787944,0.00022135276,0.00037317025],"study_design_scores_gemma":[0.0010518065,0.00004262204,0.21868761,0.0001629729,0.000009726442,7.508388e-7,0.0019246908,0.008221448,0.000014007596,0.766304,0.0033362138,0.0002441406],"about_ca_topic_score_codex":0.00008291659,"about_ca_topic_score_gemma":0.00036494984,"teacher_disagreement_score":0.096611634,"about_ca_system_score_codex":0.00020143138,"about_ca_system_score_gemma":0.00004481673,"threshold_uncertainty_score":0.4621674},"labels":[],"label_agreement":null},{"id":"W4408257907","doi":"10.24908/cpp-apc.v2025i1.19006","title":"Housing Prices in British Columbia: Quantifying the Zoning Effect","year":2025,"lang":"en","type":"article","venue":"Canadian Planning and Policy / Aménagement et politique au Canada","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Zoning; Geography; Agricultural economics; Economics; Civil engineering; Engineering","score_opus":0.018093390617481404,"score_gpt":0.2458778068989214,"score_spread":0.22778441628144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408257907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80466825,0.00062641257,0.00004380728,0.0048321257,0.00042013795,0.00024317966,0.00012121081,0.000020486736,0.18902439],"genre_scores_gemma":[0.9920419,0.00015530246,0.000039886785,0.0068318397,0.00014139213,0.000029709305,0.00002296154,0.000024601144,0.00071244146],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99828,0.000048698086,0.00045020107,0.00037580627,0.000031576492,0.0008137286],"domain_scores_gemma":[0.9991211,0.0002504491,0.00014373513,0.0002398737,0.00001230001,0.0002325392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010285688,0.00015375778,0.00035493553,0.00037651192,0.00050713395,0.0007726191,0.00024170952,0.000092924696,0.00002756766],"category_scores_gemma":[0.00027819155,0.00024072982,0.000041990523,0.00039210482,0.000067448804,0.00016004476,0.00006748843,0.0002823789,0.0000029306789],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027010337,0.000004231023,0.9209872,0.00012572821,0.00005103899,0.00008281841,0.00059021247,0.00048898015,4.47561e-7,0.06227389,0.012877852,0.0025149398],"study_design_scores_gemma":[0.00053707045,0.000023807796,0.66896695,0.00041600288,0.000011650928,0.000013819711,0.0006995731,0.00126124,0.0000031997672,0.0036756634,0.32395834,0.00043267437],"about_ca_topic_score_codex":0.99982876,"about_ca_topic_score_gemma":0.9999576,"teacher_disagreement_score":0.3110805,"about_ca_system_score_codex":0.0018709577,"about_ca_system_score_gemma":0.0020958204,"threshold_uncertainty_score":0.9816677},"labels":[],"label_agreement":null},{"id":"W4408293903","doi":"10.1016/j.jeca.2025.e00412","title":"Factors influencing asymmetries in Saudi Arabia's housing market","year":2025,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics","score_opus":0.027349011641454233,"score_gpt":0.23409765092058066,"score_spread":0.20674863927912643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408293903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8849243,0.0028499672,0.0007043849,0.0009483974,0.0017109783,0.00014325502,0.000023619024,0.000018763503,0.10867637],"genre_scores_gemma":[0.9967969,0.0017917502,0.00020124512,0.00029410076,0.00017448943,0.0000018454296,0.000001441478,0.000034288296,0.0007039197],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99707514,0.000087561486,0.0020337803,0.0002654647,0.00004245326,0.00049561437],"domain_scores_gemma":[0.9967956,0.0011249046,0.001507413,0.00043297102,0.00005001191,0.00008908399],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0041232808,0.000311634,0.0010461778,0.0018766025,0.00023175085,0.00023586671,0.0007833861,0.0001690265,0.00023732752],"category_scores_gemma":[0.00088828587,0.00027557896,0.00028288944,0.0006857318,0.00023369961,0.0008373097,0.00017665188,0.00051635504,0.000062138184],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029506674,0.0000730225,0.93243355,0.000065491,0.00031688024,0.0000053572726,0.0015296452,0.0024669243,0.000008699958,0.049576815,0.0074287676,0.005799758],"study_design_scores_gemma":[0.003487865,0.00028859352,0.70143616,0.00041605416,0.00012866018,0.000031824235,0.00811081,0.003635289,0.001593283,0.17405252,0.105577044,0.0012419175],"about_ca_topic_score_codex":0.00045085434,"about_ca_topic_score_gemma":0.00040532646,"teacher_disagreement_score":0.23099743,"about_ca_system_score_codex":0.0009044342,"about_ca_system_score_gemma":0.00021424824,"threshold_uncertainty_score":0.99996966},"labels":[],"label_agreement":null},{"id":"W4408361456","doi":"10.2139/ssrn.5174896","title":"Blurred Vision: How Mortgage Interest Costs Impact Inflation","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Blurred vision; Inflation (cosmology); Economics; Psychology","score_opus":0.015081522820523623,"score_gpt":0.2504759278996202,"score_spread":0.23539440507909656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408361456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9104918,0.0023624452,0.01802722,0.0027231167,0.0010220582,0.00015480259,0.0000134406855,0.000048888185,0.06515619],"genre_scores_gemma":[0.99293786,0.0037557408,0.000051704163,0.000106415835,0.00022183813,0.0000032562982,0.00001049833,0.000022888602,0.0028897852],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99789476,0.000026665582,0.00047743536,0.00026355748,0.000024259458,0.0013133364],"domain_scores_gemma":[0.9992532,0.000039340946,0.00035269104,0.00024025782,0.00003652811,0.00007798357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018452263,0.00017598996,0.00033173003,0.0004181351,0.00021579926,0.00033355464,0.0002867177,0.00012170449,0.00013019732],"category_scores_gemma":[0.00013944019,0.00018906302,0.00021986054,0.00025579188,0.000036595135,0.0005195487,0.000056588426,0.0010478558,0.00016974947],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012799472,0.000094407944,0.08573806,0.000011868365,0.00037681937,0.000003877971,0.00010803942,0.0001712621,0.00006194175,0.8400698,0.0024867451,0.07074921],"study_design_scores_gemma":[0.002198811,0.00045243083,0.038634155,0.00008070851,0.000030835574,0.00012646678,0.00052130205,0.00812092,0.000053956646,0.90792906,0.041242916,0.0006084605],"about_ca_topic_score_codex":0.00008002164,"about_ca_topic_score_gemma":0.0007677167,"teacher_disagreement_score":0.08244603,"about_ca_system_score_codex":0.0026293865,"about_ca_system_score_gemma":0.0005179766,"threshold_uncertainty_score":0.7709766},"labels":[],"label_agreement":null},{"id":"W4408583956","doi":"10.1080/2167034x.2003.12461362","title":"Has Falling Crime Driven New York City’s Real Estate Boom?","year":2003,"lang":"en","type":"article","venue":"Journal of Housing Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Boom; Falling (accident); Real estate; Economics; Quarter (Canadian coin); Finance; History; Engineering; Archaeology","score_opus":0.2531182246005499,"score_gpt":0.33268313269711314,"score_spread":0.07956490809656325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408583956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7249427,0.00052485056,0.00134083,0.0006786005,0.0008425349,0.00011446584,0.00000450756,0.000020712861,0.2715308],"genre_scores_gemma":[0.98641455,0.0039492697,0.0076670325,0.000044865275,0.00059656973,9.5039195e-7,0.0000010849403,0.00006338749,0.0012622622],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975784,0.000113655005,0.0011059394,0.00030401463,0.00016658872,0.0007314094],"domain_scores_gemma":[0.99825066,0.00028582793,0.00058936985,0.00033301723,0.00018521478,0.00035592538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005251614,0.00016853336,0.00056759757,0.00086664065,0.0004250015,0.0006047771,0.00044897528,0.00014879342,0.00038851378],"category_scores_gemma":[0.00078002556,0.0001879879,0.00022218219,0.0004550276,0.00016127476,0.00040748194,0.00006852324,0.0008933763,0.0002500027],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011590574,0.0013102216,0.5828095,0.00030901792,0.0010360462,0.0010129962,0.019220138,0.013334757,0.002229131,0.08409199,0.14087942,0.15260771],"study_design_scores_gemma":[0.004508878,0.0011531876,0.014912385,0.00037650953,0.000041736657,0.0003350799,0.002001562,0.004942064,0.0016526124,0.13186882,0.8369083,0.0012988963],"about_ca_topic_score_codex":0.0009413887,"about_ca_topic_score_gemma":0.000113283044,"teacher_disagreement_score":0.6960288,"about_ca_system_score_codex":0.00047006353,"about_ca_system_score_gemma":0.00050732953,"threshold_uncertainty_score":0.7665924},"labels":[],"label_agreement":null},{"id":"W4408819767","doi":"10.32920/28665041","title":"Who benefits the most? Risk pooling in mortgage loan insurance: Evidence from the Canadian mortgage market","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mortgage insurance; Mortgage underwriting; Pooling; Shared appreciation mortgage; Secondary mortgage market; Collateralized mortgage obligation; Business; Mortgage loan; Loan-to-value ratio; Commercial mortgage-backed security; Actuarial science; Loan; Financial system; Finance; Insurance policy; Casualty insurance; Computer science","score_opus":0.040558049283549544,"score_gpt":0.22783651838564645,"score_spread":0.1872784691020969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408819767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69949317,0.0090414435,0.00015310463,0.0040467563,0.0023968243,0.0010265236,0.0041926424,0.00006886076,0.27958065],"genre_scores_gemma":[0.96806127,0.026251612,0.00031720928,0.0016687926,0.00042712508,0.00010490391,0.000089629524,0.00006021592,0.003019253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99613565,0.00017721129,0.001484076,0.0012702429,0.00007910726,0.0008537155],"domain_scores_gemma":[0.9956137,0.0012354095,0.0008267895,0.0020560815,0.00006056492,0.0002074583],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0039489134,0.00057149713,0.0010164927,0.0004404669,0.00072072993,0.00091502053,0.0021352768,0.00064692786,0.0012211913],"category_scores_gemma":[0.0012343042,0.00048226505,0.00031469195,0.0005012634,0.00016161434,0.00029063135,0.0009383083,0.002273532,0.00019605551],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035841098,0.000026978265,0.9530245,0.000054032855,0.0001662336,0.000011565985,0.0018100815,0.019637505,6.9425155e-8,0.0050049303,0.010530968,0.009697291],"study_design_scores_gemma":[0.00033886934,0.000011469764,0.8826971,0.00074237597,0.000036592523,0.0000012148234,0.00025192875,0.06400388,0.000004046755,0.030625662,0.020459356,0.0008274776],"about_ca_topic_score_codex":0.86427224,"about_ca_topic_score_gemma":0.92290777,"teacher_disagreement_score":0.2765614,"about_ca_system_score_codex":0.0010248221,"about_ca_system_score_gemma":0.0006574956,"threshold_uncertainty_score":0.9997629},"labels":[],"label_agreement":null},{"id":"W4408819859","doi":"10.32920/28665041.v1","title":"Who benefits the most? Risk pooling in mortgage loan insurance: Evidence from the Canadian mortgage market","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mortgage insurance; Mortgage underwriting; Pooling; Shared appreciation mortgage; Secondary mortgage market; Collateralized mortgage obligation; Business; Mortgage loan; Loan-to-value ratio; Commercial mortgage-backed security; Actuarial science; Loan; Financial system; Finance; Insurance policy; Casualty insurance; Computer science","score_opus":0.040558049283549544,"score_gpt":0.22783651838564645,"score_spread":0.1872784691020969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408819859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69949317,0.0090414435,0.00015310463,0.0040467563,0.0023968243,0.0010265236,0.0041926424,0.00006886076,0.27958065],"genre_scores_gemma":[0.96806127,0.026251612,0.00031720928,0.0016687926,0.00042712508,0.00010490391,0.000089629524,0.00006021592,0.003019253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99613565,0.00017721129,0.001484076,0.0012702429,0.00007910726,0.0008537155],"domain_scores_gemma":[0.9956137,0.0012354095,0.0008267895,0.0020560815,0.00006056492,0.0002074583],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0039489134,0.00057149713,0.0010164927,0.0004404669,0.00072072993,0.00091502053,0.0021352768,0.00064692786,0.0012211913],"category_scores_gemma":[0.0012343042,0.00048226505,0.00031469195,0.0005012634,0.00016161434,0.00029063135,0.0009383083,0.002273532,0.00019605551],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035841098,0.000026978265,0.9530245,0.000054032855,0.0001662336,0.000011565985,0.0018100815,0.019637505,6.9425155e-8,0.0050049303,0.010530968,0.009697291],"study_design_scores_gemma":[0.00033886934,0.000011469764,0.8826971,0.00074237597,0.000036592523,0.0000012148234,0.00025192875,0.06400388,0.000004046755,0.030625662,0.020459356,0.0008274776],"about_ca_topic_score_codex":0.86427224,"about_ca_topic_score_gemma":0.92290777,"teacher_disagreement_score":0.2765614,"about_ca_system_score_codex":0.0010248221,"about_ca_system_score_gemma":0.0006574956,"threshold_uncertainty_score":0.9997629},"labels":[],"label_agreement":null},{"id":"W4408820098","doi":"10.32920/28664975","title":"Possible income misstatement on mortgage loan applications: Evidence from the Canadian housing market","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mortgage loan; Secondary mortgage market; Loan; Shared appreciation mortgage; Mortgage underwriting; Business; Financial system; Economics; Mortgage insurance; Actuarial science; Finance","score_opus":0.05742895243059993,"score_gpt":0.26182795833077566,"score_spread":0.20439900590017573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408820098","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035880167,0.0028193332,0.0056242947,0.00842184,0.001878081,0.00210966,0.0023882098,0.00016152897,0.94071686],"genre_scores_gemma":[0.97388315,0.0050438894,0.004100249,0.0037280063,0.0005930592,0.00056413107,0.00026740524,0.00007745419,0.011742665],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973418,0.00005075718,0.0010088842,0.0010341748,0.000054696007,0.00050970307],"domain_scores_gemma":[0.9970965,0.00045172847,0.0005221186,0.0016655748,0.000045654117,0.00021845517],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014709084,0.0003883206,0.0006019216,0.0003854696,0.00056459487,0.0008198365,0.0011856051,0.00035318712,0.0021175474],"category_scores_gemma":[0.00015223856,0.00039043886,0.00020870092,0.0002202275,0.0000845994,0.00015025762,0.0005441266,0.00072774733,0.0006467547],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017548884,0.0002833074,0.6996206,0.0007487659,0.001169816,0.000029211222,0.0021971276,0.014810906,0.0000016374411,0.109750256,0.11796176,0.05325111],"study_design_scores_gemma":[0.00066880684,0.000053994918,0.11847837,0.0017339941,0.000102344835,0.0000011731261,0.00027227114,0.04750132,0.000047190122,0.25381756,0.5751179,0.002205088],"about_ca_topic_score_codex":0.51589084,"about_ca_topic_score_gemma":0.48717347,"teacher_disagreement_score":0.93800294,"about_ca_system_score_codex":0.0015545022,"about_ca_system_score_gemma":0.00061555515,"threshold_uncertainty_score":0.99985474},"labels":[],"label_agreement":null},{"id":"W4409108452","doi":"10.3390/jrfm18040187","title":"Foreign Investment and Housing Market Stability in Developing Economies: Empirical Evidence from Malaysia","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kementerian Kewangan","keywords":"Foreign direct investment; Investment (military); Empirical evidence; Economics; Business; International economics; Market economy; Macroeconomics; Political science","score_opus":0.0400700909590979,"score_gpt":0.23911959891064552,"score_spread":0.19904950795154763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409108452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.966013,0.002790387,0.01865257,0.00042222903,0.0003404363,0.00016652145,0.000015140915,0.00000584516,0.011593831],"genre_scores_gemma":[0.9699345,0.020270135,0.009146993,0.00052942726,0.00007461391,0.0000055817904,6.8812744e-7,0.000009103564,0.000028947541],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984514,0.00003920068,0.000955595,0.00030584904,0.00002762004,0.000220349],"domain_scores_gemma":[0.99908066,0.00020991177,0.00046449766,0.00016072208,0.000020733372,0.00006344992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015897569,0.00015361242,0.00051444466,0.00040473614,0.00009941428,0.00012313073,0.00014854722,0.00008435489,0.000039927527],"category_scores_gemma":[0.0002429173,0.00016863034,0.000072807896,0.00018093007,0.00007194299,0.00035907116,0.00018075458,0.00019228044,0.0000033704237],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017704208,0.00004167437,0.9390693,0.000088825196,0.000032667973,0.000016839627,0.00057265494,0.00007705116,3.9866364e-7,0.023585565,0.0006087101,0.035729285],"study_design_scores_gemma":[0.0008688339,0.000046305428,0.793742,0.00030386762,0.000027248874,0.00000162307,0.00034996195,0.0020656763,0.000009449253,0.17291722,0.02946838,0.00019941591],"about_ca_topic_score_codex":0.00019836858,"about_ca_topic_score_gemma":0.0001781329,"teacher_disagreement_score":0.14933164,"about_ca_system_score_codex":0.00030047086,"about_ca_system_score_gemma":0.000049686994,"threshold_uncertainty_score":0.6876546},"labels":[],"label_agreement":null},{"id":"W4409195348","doi":"10.1016/j.irfa.2025.104222","title":"Impact of carbon prices on household behaviors in housing transactions","year":2025,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo; Saint Mary's University; Concordia University","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada; Concordia University","keywords":"Economics; Natural resource economics; Carbon fibers; Business; Monetary economics; Agricultural economics; Computer science","score_opus":0.02240963573929467,"score_gpt":0.2819513587043723,"score_spread":0.25954172296507766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409195348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9638283,0.0040230667,0.002005349,0.00016665517,0.00033556967,0.0001336359,0.0001818821,0.000007939799,0.029317575],"genre_scores_gemma":[0.98222506,0.017408561,0.00015097465,0.00007826506,0.000021148027,0.000010376816,0.000016100941,0.0000060573284,0.000083443665],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99871546,0.000010615799,0.0009098051,0.00021225728,0.000043114782,0.00010876382],"domain_scores_gemma":[0.99919266,0.00003920341,0.00048063768,0.00019052163,0.00007711522,0.000019869321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004196981,0.00010464228,0.000650332,0.0010652556,0.000016324546,0.000009126536,0.00021967455,0.000056529072,0.00017260792],"category_scores_gemma":[0.00020473772,0.000113185815,0.00049302226,0.0015554059,0.00003204046,0.00007925001,0.00001259009,0.0000946295,0.0000030112365],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058343678,0.0005212483,0.9334988,0.00050670217,0.0007664332,0.0000020003486,0.00007790151,0.0079471655,0.000022215178,0.014675213,0.00012414805,0.0417998],"study_design_scores_gemma":[0.0002742071,0.00004953632,0.99265224,0.0011610156,0.0002392943,1.8487287e-7,0.0000037324137,0.0031529516,0.00005532053,0.0011848806,0.0010703732,0.00015626969],"about_ca_topic_score_codex":0.002386725,"about_ca_topic_score_gemma":0.0004298188,"teacher_disagreement_score":0.059153404,"about_ca_system_score_codex":0.00022597243,"about_ca_system_score_gemma":0.00007753937,"threshold_uncertainty_score":0.46155834},"labels":[],"label_agreement":null},{"id":"W4409309952","doi":"10.1016/j.jfineco.2025.104054","title":"Collateral value uncertainty and mortgage credit provision","year":2025,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fama-Miller Center for Research in Finance, Booth School of Business, University of Chicago; University of California, Los Angeles; National University of Singapore; McGill University; Bank of Canada; University of Illinois at Urbana-Champaign; Georgetown University","keywords":"Collateral; Value (mathematics); Mortgage underwriting; Collateral damage; Economics; Business; Financial system; Financial economics; Mortgage insurance; Actuarial science; Finance; Mathematics; Statistics","score_opus":0.0111357588669082,"score_gpt":0.2095403102011755,"score_spread":0.1984045513342673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409309952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9437159,0.00059803785,0.000922016,0.0009044602,0.0023235145,0.00013926042,0.000043550135,0.00001147916,0.05134181],"genre_scores_gemma":[0.9946973,0.0021379264,0.0014855631,0.00066865335,0.00048209893,0.0000028430763,0.0000031514182,0.000021128311,0.0005013609],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99812734,0.00001605921,0.001290583,0.00026809098,0.000016715636,0.00028122726],"domain_scores_gemma":[0.99863565,0.00008373039,0.0009062803,0.00020878315,0.000053816653,0.00011172675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001096755,0.00018544134,0.0006987178,0.0004176152,0.00014565127,0.00016294917,0.00026049683,0.00015191815,0.000051485873],"category_scores_gemma":[0.00022124594,0.00021588255,0.00018969584,0.0001309325,0.00008896719,0.00044825705,0.000095817,0.0002760265,0.000027508024],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072764367,0.00025212573,0.12059354,0.00016862842,0.00019560775,0.000036880316,0.0007591677,0.010994742,0.0000428952,0.77397215,0.012954298,0.07930231],"study_design_scores_gemma":[0.0034701296,0.000366327,0.081964664,0.00014260983,0.000048400245,0.00007488737,0.000089875466,0.024368545,0.00014606316,0.32240358,0.5662389,0.00068602746],"about_ca_topic_score_codex":0.00009308442,"about_ca_topic_score_gemma":0.000055354853,"teacher_disagreement_score":0.5532846,"about_ca_system_score_codex":0.0003076595,"about_ca_system_score_gemma":0.00024177704,"threshold_uncertainty_score":0.8803435},"labels":[],"label_agreement":null},{"id":"W4409393461","doi":"10.55214/25768484.v9i4.6033","title":"Strategies for property rates debt management: Practical interventions for debt recovery","year":2025,"lang":"en","type":"article","venue":"Edelweiss Applied Science and Technology","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Debt; Property (philosophy); Business; Psychological intervention; Monetary economics; Economics; Finance; Medicine; Philosophy; Nursing","score_opus":0.04262078272152753,"score_gpt":0.29534399373319364,"score_spread":0.2527232110116661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409393461","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029869335,0.00069908245,0.48670256,0.0140847955,0.0010317079,0.002431636,0.000059953694,0.0002755228,0.46484542],"genre_scores_gemma":[0.9644804,0.00046883212,0.032048598,0.00030015424,0.000034534667,0.00088476745,0.000007794366,0.000016083319,0.001758841],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986342,0.0000019133695,0.00040029123,0.00056006125,0.000019769937,0.00038373267],"domain_scores_gemma":[0.9994074,0.000075619115,0.000144167,0.00026639143,0.00006947905,0.000036910176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010292741,0.00012366062,0.00028677608,0.0007486309,0.0004747185,0.00027741387,0.0003115357,0.00013333531,0.000016108363],"category_scores_gemma":[0.00015908411,0.00011502735,0.000063042055,0.00064556533,0.00050225167,0.00040674172,0.00015965788,0.000094727446,0.000018796489],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003561497,0.000053702224,0.00023742423,0.00014362454,0.000028481778,2.787914e-7,0.000020056612,0.000005509067,0.00011665787,0.95914286,0.0024135932,0.03780222],"study_design_scores_gemma":[0.00052375137,0.00008789454,0.000091796195,0.00003328681,0.000015401358,0.0000019884667,0.0010183069,0.004315109,0.00043252445,0.8950924,0.098208465,0.00017905826],"about_ca_topic_score_codex":0.000008950789,"about_ca_topic_score_gemma":0.00003000138,"teacher_disagreement_score":0.9346111,"about_ca_system_score_codex":0.00008421134,"about_ca_system_score_gemma":0.00010506547,"threshold_uncertainty_score":0.46906793},"labels":[],"label_agreement":null},{"id":"W4409545785","doi":"10.1016/j.jeca.2025.e00418","title":"Local financial distress and fiscal regimes: Evidence from Italy","year":2025,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Financial distress; Distress; Macroeconomics; Financial system; Psychology","score_opus":0.020992270666533353,"score_gpt":0.22857761133296217,"score_spread":0.2075853406664288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409545785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93453693,0.012155179,0.016754437,0.004304493,0.0019242094,0.0001253807,0.000115983814,0.000014835774,0.03006856],"genre_scores_gemma":[0.9941328,0.00439151,0.0002914221,0.0002558787,0.00026430245,0.0000015331633,0.0000022184013,0.000014337925,0.00064595573],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984409,0.000040530867,0.0010383667,0.00021451547,0.00002360705,0.00024206053],"domain_scores_gemma":[0.9978066,0.0009786859,0.00079382886,0.00031397707,0.000025870566,0.00008101548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001264855,0.00018070271,0.00061190914,0.0002945431,0.00017952432,0.00015778714,0.0005070784,0.00011690516,0.00013872245],"category_scores_gemma":[0.00056553504,0.00015924295,0.00015110309,0.0001381136,0.00035413107,0.0005829137,0.00016018211,0.00028180055,0.000091458096],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027033468,0.00021314,0.4147068,0.00016583622,0.001116445,0.00003220562,0.004068712,0.0034223383,0.000029094736,0.34914514,0.09303378,0.13136315],"study_design_scores_gemma":[0.0036629012,0.0005642012,0.20218478,0.00080253003,0.00029225304,0.000097799886,0.002626293,0.011760621,0.0014817307,0.6183403,0.15694216,0.0012444269],"about_ca_topic_score_codex":0.0004768179,"about_ca_topic_score_gemma":0.00015486397,"teacher_disagreement_score":0.26919514,"about_ca_system_score_codex":0.00024916744,"about_ca_system_score_gemma":0.00010279171,"threshold_uncertainty_score":0.6493739},"labels":[],"label_agreement":null},{"id":"W4409737696","doi":"10.1016/j.trb.2025.103232","title":"Optimal private housing supply under various schemes of public housing provision","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part B Methodological","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Research Grants Council, University Grants Committee; Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada; National Natural Science Foundation of China","keywords":"Public housing; Business; Economics; Public economics; Transport engineering; Engineering; Economic growth","score_opus":0.40664804763902074,"score_gpt":0.418353065796982,"score_spread":0.011705018157961267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409737696","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76555914,0.000311222,0.22784737,0.0011285358,0.00021592893,0.00036153913,0.00005088677,0.00006864582,0.0044567515],"genre_scores_gemma":[0.9206973,0.0005561882,0.07826881,0.0000947304,0.00005602186,0.000039105373,0.00007436396,0.000024252242,0.00018926358],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9969558,0.0004924143,0.0011045069,0.00064349873,0.00013174217,0.0006720452],"domain_scores_gemma":[0.9978625,0.0011807502,0.00027464982,0.0003808397,0.00016882007,0.00013240192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009752666,0.00018773478,0.0006502099,0.00068501453,0.0002948369,0.00013438135,0.00036234024,0.00027920943,0.0006229892],"category_scores_gemma":[0.0009749206,0.00019639806,0.00017832057,0.0008627083,0.00037536502,0.00031577723,0.000043634303,0.000519913,0.00004851783],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002644975,0.0003768465,0.28614202,0.00023663825,0.00013915233,0.000014395074,0.00039986623,0.0039115576,0.0010399538,0.69103265,0.0004673986,0.01597502],"study_design_scores_gemma":[0.0035506736,0.00064473005,0.5615778,0.0002984981,0.000050233783,0.0000019016628,0.0010469158,0.013745099,0.0088313995,0.2707318,0.1383808,0.0011401302],"about_ca_topic_score_codex":0.0001996771,"about_ca_topic_score_gemma":0.00010434406,"teacher_disagreement_score":0.42030087,"about_ca_system_score_codex":0.00013628934,"about_ca_system_score_gemma":0.00013012894,"threshold_uncertainty_score":0.800888},"labels":[],"label_agreement":null},{"id":"W4409852069","doi":"10.1016/j.mlwa.2025.100657","title":"Quantitative insights into the Winnipeg rental sector: A data-driven analytical approach using geographic and property metrics","year":2025,"lang":"en","type":"article","venue":"Machine Learning with Applications","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Winnipeg","funders":"Mitacs","keywords":"Renting; Property (philosophy); Residential property; Property value; Business; Econometrics; Data science; Computer science; Regional science; Geography; Engineering; Economics; Civil engineering; Finance; Real estate","score_opus":0.04667238517569016,"score_gpt":0.2639955113537631,"score_spread":0.21732312617807292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409852069","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4470911,0.00312836,0.4816151,0.0015968484,0.000067491426,0.0012305148,0.000059617574,0.00015595192,0.065055],"genre_scores_gemma":[0.9804994,0.0003032634,0.0184222,0.00013395696,0.00003363851,0.00007867858,0.00015024193,0.00002637513,0.00035226764],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998741,0.000057234134,0.0003663529,0.0005940693,0.000037355167,0.00020399517],"domain_scores_gemma":[0.99887997,0.0002161781,0.00021455753,0.00059197115,0.00003549535,0.0000618039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059634703,0.00017246144,0.00030848393,0.00041950625,0.00063972536,0.00018812802,0.0004127903,0.000072851704,0.000023910206],"category_scores_gemma":[0.00015777693,0.00011841463,0.000040950963,0.0010976093,0.00023223535,0.00019218931,0.00027037397,0.00040315618,0.000020621743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006614174,0.00022545093,0.5383794,0.000097658936,0.00036234257,8.972541e-7,0.0016145104,0.0071562165,0.00001889681,0.44513187,0.00016889679,0.006777744],"study_design_scores_gemma":[0.00024774217,0.000036871454,0.005276305,0.000012256825,0.00004254042,0.000002810355,0.0003161458,0.9296497,0.0000012741265,0.0035209695,0.060705025,0.00018837464],"about_ca_topic_score_codex":0.0013703023,"about_ca_topic_score_gemma":0.00023631942,"teacher_disagreement_score":0.92249346,"about_ca_system_score_codex":0.000070915405,"about_ca_system_score_gemma":0.00004176155,"threshold_uncertainty_score":0.4920315},"labels":[],"label_agreement":null},{"id":"W4410421990","doi":"10.1108/jpif-01-2025-0001","title":"How Brexit changed the dynamics of UK commercial real estate: evidence from the roles of domestic and foreign monetary policies","year":2025,"lang":"en","type":"article","venue":"Journal of Property Investment and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Brexit; Real estate; Dynamics (music); Monetary policy; International economics; Economics; International trade; Monetary economics; Finance; European union; Sociology","score_opus":0.03787070264016181,"score_gpt":0.22550104606534396,"score_spread":0.18763034342518214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410421990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9767788,0.006915119,0.00028493456,0.012159991,0.00016253395,0.00019049732,0.000064915745,0.000002297242,0.0034408984],"genre_scores_gemma":[0.9349931,0.063854955,0.00052827684,0.00033528404,0.000064789885,0.0000041155754,0.0000021797366,0.000007354282,0.00020996667],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990819,0.000030938812,0.0005701403,0.00013167215,0.000040928866,0.0001444151],"domain_scores_gemma":[0.9987334,0.00021200882,0.0007756672,0.00020081543,0.000053335993,0.000024758547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006452044,0.00012730261,0.00044545406,0.00008566057,0.0001189115,0.00007363504,0.0002794168,0.000061949904,0.0000030769402],"category_scores_gemma":[0.00014957975,0.00007065614,0.00007872952,0.00012460045,0.00037655802,0.00022351157,0.00010188171,0.00016261435,3.580145e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009676612,0.0002491126,0.6033293,0.00036165764,0.00056239957,0.000013126563,0.01567517,0.0007233941,0.00020959941,0.27032074,0.0033676713,0.10422015],"study_design_scores_gemma":[0.0026470262,0.00093422027,0.74356294,0.001560737,0.00021451036,0.0000385007,0.0032873128,0.029766016,0.00044808508,0.20707974,0.009960177,0.00050077104],"about_ca_topic_score_codex":0.0015572715,"about_ca_topic_score_gemma":0.0009389577,"teacher_disagreement_score":0.1402336,"about_ca_system_score_codex":0.000062246196,"about_ca_system_score_gemma":0.000066805085,"threshold_uncertainty_score":0.28812736},"labels":[],"label_agreement":null},{"id":"W4410452477","doi":"10.5539/ibr.v18n3p74","title":"The Effects of Financial Innovation, Sustainable Development of the Stock Market, and Economic Growth in Mexico","year":2025,"lang":"en","type":"article","venue":"International Business Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock market; Business; Sustainable growth rate; Sustainable development; Financial innovation; Financial system; Economics; Finance; Geography","score_opus":0.020446323520987065,"score_gpt":0.2766869563517093,"score_spread":0.25624063283072224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410452477","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9352332,0.00026418842,0.00027327245,0.0019031928,0.0005942366,0.00028992834,0.0000060400303,0.0000029969583,0.061432995],"genre_scores_gemma":[0.9957507,0.00032107945,0.00009113856,0.000029289393,0.000027353799,0.000044876648,0.0000023621183,0.0000066131206,0.0037265853],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998929,0.000032337095,0.0005953529,0.00018079019,0.00005631172,0.00020615579],"domain_scores_gemma":[0.9987825,0.00048163088,0.00018072221,0.00015732103,0.000387408,0.000010395527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001941518,0.00006812664,0.00016554103,0.00060168834,0.00016813292,0.00006337381,0.00045956162,0.00005605707,0.00002833544],"category_scores_gemma":[0.002387688,0.000057459165,0.000022223636,0.0007704592,0.00018206386,0.00013800213,0.0003582848,0.00014185073,0.000004349547],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000089838366,0.000049797483,0.5358455,0.00022397104,0.000029982604,7.872957e-7,0.0001935242,0.000031759835,0.00002343262,0.45709234,0.0021549822,0.0042640516],"study_design_scores_gemma":[0.00042763085,0.000006022455,0.9015949,0.00006461075,6.739858e-7,3.2505937e-7,0.000049387552,0.00054909574,0.00088501355,0.075118534,0.021245854,0.000057982073],"about_ca_topic_score_codex":0.00041907548,"about_ca_topic_score_gemma":0.0002509485,"teacher_disagreement_score":0.3819738,"about_ca_system_score_codex":0.00032216907,"about_ca_system_score_gemma":0.0003955267,"threshold_uncertainty_score":0.28584582},"labels":[],"label_agreement":null},{"id":"W4410560139","doi":"10.18280/isi.300409","title":"A Fuzzy Logic Model for Loan Recommendations in Online Lending Systems Using the California Psychological Inventory","year":2025,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universitas Trisakti","keywords":"Loan; Fuzzy logic; Actuarial science; Computer science; Interlibrary loan; Business; Operations research; Finance; Artificial intelligence; Mathematics; World Wide Web","score_opus":0.08495042128946705,"score_gpt":0.29404805108045085,"score_spread":0.20909762979098379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410560139","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46073967,0.00042431912,0.48027208,0.000914576,0.001558812,0.001135417,0.0006286821,0.000106411106,0.054220036],"genre_scores_gemma":[0.99506474,0.00014575786,0.0038313884,0.00048240926,0.00005548677,0.0001027139,0.00019589861,0.000010600399,0.0001109811],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99842334,0.00002532182,0.0010700327,0.00016990729,0.000021970583,0.00028940596],"domain_scores_gemma":[0.9991425,0.00007223359,0.00043451894,0.00026494637,0.000051840838,0.00003390743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010824117,0.00014281509,0.00029639492,0.00045543571,0.00030001538,0.00024487413,0.00026977653,0.00014465117,0.000011181266],"category_scores_gemma":[0.00036021724,0.000137109,0.00009032812,0.0003257762,0.00007252566,0.0008925033,0.00007624759,0.00015058517,0.00003104227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015764874,0.00023744121,0.040293463,0.00079620304,0.00010737286,6.6835867e-7,0.0054673436,0.26837137,0.000014587751,0.6481639,0.0045266184,0.031863406],"study_design_scores_gemma":[0.0004127548,0.000017126149,0.0006913344,0.00009568433,0.000005987014,0.0000032353862,0.0008643292,0.8809705,0.0000011609243,0.110614255,0.0061729304,0.00015075294],"about_ca_topic_score_codex":0.00016104768,"about_ca_topic_score_gemma":0.00007782018,"teacher_disagreement_score":0.6125991,"about_ca_system_score_codex":0.0006648879,"about_ca_system_score_gemma":0.000040130864,"threshold_uncertainty_score":0.55911434},"labels":[],"label_agreement":null},{"id":"W4410834436","doi":"10.1007/s00199-025-01659-z","title":"Price dispersion and price stickiness in a competitive search model of housing markets","year":2025,"lang":"en","type":"article","venue":"Economic Theory","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Price dispersion; Public finance; Economics; Dispersion (optics); Microeconomics; Price setting; Econometrics; Financial economics; Monetary economics; Macroeconomics; Physics","score_opus":0.015830098066112634,"score_gpt":0.21909188475889652,"score_spread":0.20326178669278389,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410834436","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77576125,0.00034366673,0.0054917475,0.0001368304,0.00021539978,0.00017899228,0.000040691837,0.00001696662,0.21781445],"genre_scores_gemma":[0.9978329,0.00067391957,0.0006299686,0.000099620534,0.000027324484,0.000008409276,0.0000051506477,0.000022798724,0.00069991814],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985747,0.00004770004,0.0006296404,0.00043783622,0.000012047202,0.00029812704],"domain_scores_gemma":[0.99914795,0.0003012418,0.00020256995,0.0002800857,0.000013630699,0.0000545426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001701896,0.00016190982,0.0004991076,0.0004642724,0.000069880916,0.000049687984,0.00021077559,0.000107978696,0.0001730325],"category_scores_gemma":[0.00008346283,0.00020843942,0.00006792602,0.00011462737,0.0001582335,0.0002442885,0.00018772308,0.00015983815,0.000048495815],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026776598,0.000074057214,0.057949577,0.00013097143,0.00004660845,0.0000012507426,0.0008263753,0.006472638,0.000050731313,0.9303069,0.00004772772,0.0038254124],"study_design_scores_gemma":[0.0026644773,0.000046188514,0.08746597,0.00025860497,0.000017763865,0.0000030824667,0.0011433121,0.5504568,0.0004064423,0.3544865,0.0023358073,0.00071503484],"about_ca_topic_score_codex":0.00010849425,"about_ca_topic_score_gemma":0.000039873983,"teacher_disagreement_score":0.5758204,"about_ca_system_score_codex":0.0003219334,"about_ca_system_score_gemma":0.000083846266,"threshold_uncertainty_score":0.8499913},"labels":[],"label_agreement":null},{"id":"W4411138692","doi":"10.1007/s11408-025-00478-5","title":"The lexical ratio: a new perspective on portfolio diversification","year":2025,"lang":"en","type":"article","venue":"Financial markets and portfolio management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; York University","funders":"Natural Sciences and Engineering Research Council of Canada; Simon Fraser University","keywords":"Diversification (marketing strategy); Perspective (graphical); Economics; Portfolio; Financial economics; Econometrics; Mathematical economics; Computer science; Business; Artificial intelligence; Marketing","score_opus":0.012981620364542996,"score_gpt":0.22254638762085274,"score_spread":0.20956476725630974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411138692","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018536923,0.0008448814,0.0031707953,0.0045671524,0.0011402396,0.0004677482,0.000017202754,0.000048863607,0.9712062],"genre_scores_gemma":[0.9301956,0.0070611867,0.00023861318,0.0015734974,0.00026226364,0.000048578033,0.0000144858905,0.000021029122,0.06058469],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986984,0.000016821237,0.0004500826,0.00047834538,0.000041724288,0.0003146049],"domain_scores_gemma":[0.99925846,0.00006410479,0.000201266,0.00036746284,0.000025207773,0.000083478415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006364356,0.00018345284,0.00025519365,0.00024481656,0.0004931617,0.00021686679,0.00023197205,0.00008804951,0.00021775565],"category_scores_gemma":[0.00010339178,0.00017596746,0.00010241565,0.00027185117,0.0000795758,0.00012987608,0.00014349072,0.0001380888,0.0001263433],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015912739,0.00004217968,0.0036519438,0.000011412121,0.000050642157,0.000006552275,0.000071260445,0.0000069212138,1.7172202e-7,0.8396256,0.107745804,0.04862839],"study_design_scores_gemma":[0.00049037946,0.000037260634,0.18532573,0.00002040129,0.00001667669,7.3474484e-7,0.00015091368,0.00035340106,0.000002652348,0.14718263,0.6662429,0.00017632992],"about_ca_topic_score_codex":0.00024240326,"about_ca_topic_score_gemma":0.00004984304,"teacher_disagreement_score":0.9116587,"about_ca_system_score_codex":0.00019874853,"about_ca_system_score_gemma":0.00004500482,"threshold_uncertainty_score":0.7175745},"labels":[],"label_agreement":null},{"id":"W4411308106","doi":"10.2139/ssrn.5291579","title":"Housing Affordability and Rent Control: The Case of Elderly Renters","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Control (management); Business; Rental housing; Economics; Labour economics; Renting; Political science","score_opus":0.014243475878596597,"score_gpt":0.22337369102198526,"score_spread":0.20913021514338867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411308106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9568164,0.010486382,0.018840317,0.0023781073,0.0012701151,0.00040128196,0.00014376787,0.000024318615,0.0096393395],"genre_scores_gemma":[0.9845053,0.0148943635,0.00013045181,0.000069528774,0.00017932737,0.000008440322,0.0000041532235,0.000022334132,0.00018611811],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971957,0.000081093225,0.0010679777,0.00043158047,0.000026954063,0.0011966841],"domain_scores_gemma":[0.9981724,0.0001505903,0.0010546466,0.0005032948,0.00005279867,0.0000662745],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0049102055,0.00026527568,0.0007154485,0.00023920156,0.00026684682,0.00016284629,0.00038420735,0.00022606498,0.00002286215],"category_scores_gemma":[0.00015983562,0.00024475614,0.00031093872,0.000090273184,0.00015239338,0.00009911467,0.0002428892,0.002535346,0.0000035680582],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036933686,0.00021133071,0.03054687,0.00035937075,0.0016329704,0.00004527838,0.001090927,0.0021207125,0.000003134059,0.7888088,0.00020247136,0.17460878],"study_design_scores_gemma":[0.0007933892,0.0001721626,0.00034813123,0.000089346366,0.00009026879,0.0005890785,0.00096265157,0.005390719,0.0000034853472,0.98998624,0.0012622016,0.0003123363],"about_ca_topic_score_codex":0.001220287,"about_ca_topic_score_gemma":0.0034638091,"teacher_disagreement_score":0.20117742,"about_ca_system_score_codex":0.0009847359,"about_ca_system_score_gemma":0.0008076465,"threshold_uncertainty_score":0.9997659},"labels":[],"label_agreement":null},{"id":"W4411325181","doi":"10.1080/12265934.2025.2517097","title":"Housing price dynamics within an integrated urban model: testing the spatial and temporal transferability","year":2025,"lang":"en","type":"article","venue":"International Journal of Urban Sciences","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada","keywords":"Transferability; Dynamics (music); Econometrics; Economic geography; Computer science; Geography; Economics; Psychology","score_opus":0.049299689412896676,"score_gpt":0.26098715963158403,"score_spread":0.21168747021868736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411325181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91902095,0.00014984637,0.06763828,0.001622092,0.001130855,0.00006479812,0.000026050733,0.000012558907,0.010334546],"genre_scores_gemma":[0.99307954,0.000025772777,0.006473957,0.00022287098,0.00013602263,8.848889e-7,0.00000177734,0.0000059558192,0.000053200438],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877733,0.00002897344,0.0007405574,0.00021958163,0.00008883542,0.00014469532],"domain_scores_gemma":[0.9990629,0.00014346796,0.00045875204,0.00009882338,0.00018268985,0.000053347023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024256604,0.00010489845,0.00022398551,0.00028286132,0.00020937812,0.0004309645,0.0006571315,0.000048130292,0.000015317697],"category_scores_gemma":[0.00042262342,0.00008334772,0.00006205044,0.00025245178,0.00032403806,0.0006649618,0.000049448427,0.00021452155,0.0000012269431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000077109136,0.000093576746,0.91385055,0.00000737829,0.00006460048,0.0000044140993,0.0017198595,0.013390105,0.000026128659,0.057357743,0.00015377265,0.013254772],"study_design_scores_gemma":[0.00030121364,0.00009439922,0.018237825,0.000048732698,0.000007233908,0.000017713439,0.00040475014,0.9384303,0.000025652465,0.04176167,0.0005507899,0.0001197318],"about_ca_topic_score_codex":0.00051826227,"about_ca_topic_score_gemma":0.0004130763,"teacher_disagreement_score":0.9250402,"about_ca_system_score_codex":0.00019568522,"about_ca_system_score_gemma":0.00020717057,"threshold_uncertainty_score":0.41558006},"labels":[],"label_agreement":null},{"id":"W4411656725","doi":"10.51847/maamyrzyec","title":"10.51847/maamyrzyEC","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Forensic accounting; Language change; Forensic science; Financial fraud; Accounting; Business; Criminology; Political science; Psychology; Audit; History","score_opus":0.012429065559897477,"score_gpt":0.16094552350814256,"score_spread":0.14851645794824508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411656725","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008482188,0.000070290596,0.0000038284643,0.00035597748,0.000012793616,0.00010886333,0.00003930272,0.00009402427,0.99083275],"genre_scores_gemma":[0.003931202,0.0000057258503,0.0002234456,0.00015551165,0.00016296975,0.000011662551,0.000013605227,0.000035497415,0.9954604],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989885,0.0000064154297,0.00036030269,0.00031687366,0.000015903071,0.00031198445],"domain_scores_gemma":[0.9994281,0.000024422263,0.00006447636,0.00033776692,0.0000093268245,0.0001359318],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002866491,0.00013112742,0.0002796216,0.0001284614,0.00008114417,0.00008534526,0.0002271613,0.00007616101,0.9925089],"category_scores_gemma":[0.000030404392,0.00017129416,0.00008594993,0.00015289396,0.000023572748,0.00014906442,0.00003271223,0.00007527765,0.9949974],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005357979,0.00005268711,0.000022919186,0.0000055583214,0.000022345672,0.0000027823496,0.000034856155,0.00024377758,0.0000017849653,0.00027943475,0.035613988,0.96366626],"study_design_scores_gemma":[0.00019800635,0.000050571103,0.0002047089,0.0000040457803,0.0000024478395,0.000002837666,4.957953e-7,0.0011368141,0.0000025789227,0.00022954361,0.99793464,0.00023328733],"about_ca_topic_score_codex":0.00005973081,"about_ca_topic_score_gemma":5.235466e-7,"teacher_disagreement_score":0.963433,"about_ca_system_score_codex":0.000073172996,"about_ca_system_score_gemma":0.000010381572,"threshold_uncertainty_score":0.6985173},"labels":[],"label_agreement":null},{"id":"W4411659712","doi":"10.37547/tajmei/volume07issue06-09","title":"Evaluating The Investment Attractiveness of The Suburban Residential Real Estate Market: Trends, Determinants, And Strategic Implications (A Case Study of The United States and Canada)","year":2025,"lang":"en","type":"article","venue":"The American Journal of Management and Economics Innovations","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Attractiveness; Real estate; Residential real estate; Investment (military); Business; Real estate development; Regional science; Finance; Geography; Political science","score_opus":0.05600402858108288,"score_gpt":0.2933297733225176,"score_spread":0.2373257447414347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411659712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934643,0.000030916708,0.000013239475,0.0021563633,0.00013364322,0.00023679432,0.000037758644,0.000001294843,0.003925678],"genre_scores_gemma":[0.99807596,0.0014971943,0.00006376227,0.00019161591,0.000015384394,0.000009377581,0.0000012515812,0.00000818142,0.00013727513],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867576,0.00011163058,0.0009062505,0.00014990053,0.000032915672,0.0001235293],"domain_scores_gemma":[0.99757314,0.00023969015,0.0017221189,0.00037206378,0.000071269686,0.00002171163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016079472,0.00011105361,0.0003070405,0.0002317489,0.00044208998,0.00008361991,0.00030981583,0.000013354744,0.000005454984],"category_scores_gemma":[0.000027347032,0.00007009991,0.000039658407,0.00049519516,0.00034557615,0.00009221032,0.00020315986,0.00014043988,4.0094367e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018022301,0.00017447134,0.88417834,0.000057204026,0.00088007044,0.000005025558,0.003169549,0.004656969,0.000008634286,0.07111478,0.00044972205,0.035125032],"study_design_scores_gemma":[0.0007457599,0.00018798037,0.94396025,0.00002820098,0.00017160542,0.000062592306,0.02884668,0.008772624,0.000009221112,0.016459381,0.0006297761,0.00012593271],"about_ca_topic_score_codex":0.08632059,"about_ca_topic_score_gemma":0.089755625,"teacher_disagreement_score":0.059781924,"about_ca_system_score_codex":0.00008680998,"about_ca_system_score_gemma":0.00008671032,"threshold_uncertainty_score":0.92685395},"labels":[],"label_agreement":null},{"id":"W4411698149","doi":"10.1080/14649357.2025.2515827","title":"A Critical Examination of Land Value Capture Tools to Generate Affordable Housing in Toronto","year":2025,"lang":"en","type":"article","venue":"Planning Theory & Practice","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Affordable housing; Land value; Value (mathematics); Geography; Architectural engineering; Economics; Engineering; Agricultural economics; Economic growth; Statistics; Mathematics","score_opus":0.029283618095738664,"score_gpt":0.2912052689229129,"score_spread":0.2619216508271742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411698149","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48500305,0.0014793363,0.018712666,0.0007518249,0.0005621498,0.00018284237,0.00002706877,0.0000340647,0.493247],"genre_scores_gemma":[0.99143094,0.00007607641,0.0072402037,0.0007808385,0.00005206065,0.00001478053,0.000008567271,0.000017983917,0.00037853164],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99879086,0.00013113904,0.000490609,0.00030366518,0.000027190323,0.00025652148],"domain_scores_gemma":[0.99808365,0.001400583,0.00018237994,0.00023830975,0.00004684413,0.000048213093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003461822,0.00012304999,0.00031865825,0.00018160723,0.00007098132,0.0001415134,0.00015757796,0.00011043567,0.000102848426],"category_scores_gemma":[0.004742762,0.00015380055,0.000041095427,0.00018734201,0.000030157149,0.0010030824,0.00006970794,0.00015136471,0.000035451154],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046029862,0.00017472573,0.013753942,0.000095775715,0.000057519737,0.00001830593,0.00435814,0.008497905,0.00011094614,0.96512026,0.00025794614,0.0070942114],"study_design_scores_gemma":[0.005685462,0.00068978703,0.18772145,0.0018179785,0.00032665636,0.000066144275,0.034238927,0.11057418,0.0024576683,0.34262872,0.31038702,0.0034060457],"about_ca_topic_score_codex":0.001153377,"about_ca_topic_score_gemma":0.00013663624,"teacher_disagreement_score":0.6224916,"about_ca_system_score_codex":0.00031462958,"about_ca_system_score_gemma":0.0000399513,"threshold_uncertainty_score":0.62718046},"labels":[],"label_agreement":null},{"id":"W4411984187","doi":"10.2196/76835","title":"The Digital Availability of US Departments of Corrections’ Research Policies: Cross-Sectional Analysis","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Cross-sectional study; Political science; Computer science; Statistics; World Wide Web; Mathematics","score_opus":0.09910514814518581,"score_gpt":0.4127353279472811,"score_spread":0.3136301798020953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411984187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78553534,0.000108011656,0.00018727186,0.00008049129,0.0001820599,0.00026592927,0.00022501501,0.000008130852,0.21340773],"genre_scores_gemma":[0.99673164,0.00020145207,0.000016416749,0.000004774389,0.00002569058,0.00008799454,0.000023241993,0.0000072444936,0.0029015192],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99790025,0.00014054746,0.0009811983,0.00028022967,0.0001885254,0.00050926255],"domain_scores_gemma":[0.9971362,0.0014132371,0.00023889232,0.00053421664,0.0006142086,0.000063247295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006512943,0.00009318627,0.00035295152,0.0013560482,0.00074412674,0.0002987812,0.00050235796,0.00010650154,0.00018120228],"category_scores_gemma":[0.00088956056,0.000084305255,0.0002440785,0.0029664044,0.0011496344,0.00038396078,0.00033799544,0.000455503,0.00016847078],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001154362,0.00019917452,0.97014177,0.000052005103,0.000337979,8.424292e-8,0.00071978534,0.00013112657,0.000004001381,0.026144762,0.00096388423,0.0011899736],"study_design_scores_gemma":[0.0002681656,0.00011245687,0.9468009,0.0000076432025,0.0000033630397,2.3553994e-7,0.0005313116,0.0032376412,0.00018262902,0.026708364,0.02207348,0.00007382019],"about_ca_topic_score_codex":0.00071378157,"about_ca_topic_score_gemma":0.00022786898,"teacher_disagreement_score":0.2111963,"about_ca_system_score_codex":0.00046494725,"about_ca_system_score_gemma":0.00015333026,"threshold_uncertainty_score":0.57232964},"labels":[],"label_agreement":null},{"id":"W4412362054","doi":"10.1177/0282423x251341944","title":"Decomposing Residential Resale House Prices into Structure and Land Components","year":2025,"lang":"en","type":"article","venue":"Journal of Official Statistics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada; University of British Columbia","funders":"","keywords":"Geography; Agricultural economics; Environmental science; Econometrics; Statistics; Architectural engineering; Economics; Mathematics; Engineering","score_opus":0.01659761010724232,"score_gpt":0.2430735915536377,"score_spread":0.22647598144639539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412362054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9382918,0.0007408539,0.057572857,0.00023922317,0.0014173024,0.00006508933,0.00012414821,0.00001152657,0.0015371905],"genre_scores_gemma":[0.9744876,0.0005214072,0.024560593,0.00009024765,0.00026624714,1.8589846e-7,0.000005196804,0.000019155397,0.000049342492],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99890435,0.000016147143,0.0007513219,0.00013495582,0.000037908016,0.00015529666],"domain_scores_gemma":[0.9990163,0.00013366001,0.00062359904,0.0000951903,0.000063113745,0.000068176014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034196116,0.000107675885,0.0003853585,0.0002713369,0.00015266456,0.00017912888,0.00015374001,0.00008217052,0.000042772393],"category_scores_gemma":[0.0001911127,0.00012009994,0.000043408832,0.00010105583,0.00006400461,0.00015240988,0.000059663278,0.00019323397,0.000007162445],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013834999,0.0003473463,0.74529713,0.00048302193,0.0006616089,0.00017666722,0.0025986263,0.00297999,0.0006344604,0.1819378,0.02468961,0.03881021],"study_design_scores_gemma":[0.0039290697,0.000379325,0.44321877,0.00025992733,0.00014679326,0.00007959555,0.00016966814,0.0140756685,0.00039454777,0.45244336,0.08415415,0.00074910553],"about_ca_topic_score_codex":0.00022474687,"about_ca_topic_score_gemma":0.00035756535,"teacher_disagreement_score":0.30207837,"about_ca_system_score_codex":0.0000944068,"about_ca_system_score_gemma":0.000055603563,"threshold_uncertainty_score":0.48975334},"labels":[],"label_agreement":null},{"id":"W4412385855","doi":"10.1561/114.00000077","title":"The Long-Term Performance of Overpriced and Underpriced Initial Public Offerings","year":2025,"lang":"en","type":"article","venue":"Review of Corporate Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Term (time); Business; Initial public offering; Finance; Physics","score_opus":0.04310062307800034,"score_gpt":0.24276340115858003,"score_spread":0.1996627780805797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412385855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88754326,0.07572534,0.0003917356,0.0007687842,0.0003042114,0.0003351139,0.000019883431,0.000013988277,0.03489766],"genre_scores_gemma":[0.6672369,0.33216158,0.00010225814,0.00020066964,0.000012332255,0.000012723858,0.0000041893727,0.000008273006,0.00026108185],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.998547,0.000020104577,0.00094074867,0.00024758553,0.000029930628,0.00021459897],"domain_scores_gemma":[0.9980045,0.00011235106,0.0013597893,0.00041634814,0.00007963062,0.000027389282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009513162,0.00014506267,0.00062211585,0.00010004766,0.00011018313,0.000035858822,0.00031020388,0.000061428946,0.000021393547],"category_scores_gemma":[0.00015726025,0.0001344489,0.00009707211,0.00042324865,0.00019657558,0.0002195299,0.00010947938,0.000109942666,0.000018843304],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000103460974,0.00012231673,0.38568386,0.0173357,0.00012424609,0.0000020976408,0.000055743876,0.000011610332,0.00004600365,0.4298684,0.0013969139,0.16524965],"study_design_scores_gemma":[0.0013210686,0.0002785207,0.88477,0.010135059,0.00005629903,0.000010185391,0.000009046039,0.002087426,0.0011079102,0.018560465,0.08095383,0.00071022986],"about_ca_topic_score_codex":0.000008749458,"about_ca_topic_score_gemma":0.000007169169,"teacher_disagreement_score":0.49908608,"about_ca_system_score_codex":0.00004547584,"about_ca_system_score_gemma":0.00009222483,"threshold_uncertainty_score":0.54826665},"labels":[],"label_agreement":null},{"id":"W4412723362","doi":"10.1016/bs.hesreg.2025.05.003","title":"Housing supply and housing affordability","year":2025,"lang":"en","type":"book-chapter","venue":"Handbook of regional and urban economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Natural resource economics","score_opus":0.026914606948489572,"score_gpt":0.184677970158026,"score_spread":0.15776336320953643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412723362","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0446728,0.03504281,0.0008118526,0.0008381376,0.0008653378,0.0006500372,0.0009696835,0.00008129214,0.9160681],"genre_scores_gemma":[0.15870807,0.35162959,0.017186977,0.0026476507,0.002234115,0.00005097928,0.000713562,0.0006542987,0.46617478],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99767697,0.000007240373,0.0011147609,0.0008418048,0.00002455163,0.00033466166],"domain_scores_gemma":[0.99829996,0.00017455255,0.0008749414,0.0004494256,0.000041068648,0.00016004007],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004378967,0.00047927184,0.0012585232,0.00041345006,0.00018609475,0.000121160214,0.00020317477,0.00048054615,0.00019565396],"category_scores_gemma":[0.00002558065,0.0006159098,0.00025894438,0.000023038288,0.00053211435,0.00023167868,0.00022948992,0.00030791733,0.000026055714],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016926794,0.000040764593,0.026604999,0.0005292551,0.00031899713,0.0000040756454,0.00023951675,0.000029911405,0.0000027746416,0.93400884,0.0080910325,0.029960593],"study_design_scores_gemma":[0.0008899603,0.000094337745,0.0005720519,0.00065391435,0.00007136827,0.000016499054,0.000023642715,0.0010913254,0.000024775942,0.29595616,0.69971853,0.00088744704],"about_ca_topic_score_codex":0.000102415084,"about_ca_topic_score_gemma":0.00014225655,"teacher_disagreement_score":0.6916275,"about_ca_system_score_codex":0.00018962927,"about_ca_system_score_gemma":0.000117248725,"threshold_uncertainty_score":0.9996292},"labels":[],"label_agreement":null},{"id":"W4412903088","doi":"10.1080/08965803.2025.2523123","title":"The Price of Work from Home: Commercial Real Estate in the City and the Suburbs","year":2025,"lang":"en","type":"article","venue":"Journal of Real Estate Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Real estate; Work (physics); Residential real estate; Business; Economics; Marketing; Advertising; Finance; Labour economics; Engineering","score_opus":0.06471064191567603,"score_gpt":0.3217587482289101,"score_spread":0.25704810631323405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412903088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8570257,0.0002850511,0.000027202503,0.006983397,0.00022418327,0.00018056582,0.000018107543,0.000002005334,0.13525382],"genre_scores_gemma":[0.8329366,0.16668911,0.00006863656,0.000033862107,0.00009976626,0.000004992512,0.000001361762,0.000008994178,0.00015667218],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979836,0.0004290964,0.0009197562,0.00015914369,0.00013035079,0.00037806542],"domain_scores_gemma":[0.9950799,0.0039252867,0.00046299887,0.00034260648,0.00013141509,0.000057809026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014425365,0.000102355734,0.0004337266,0.00027174255,0.0003336926,0.00024976302,0.0007625273,0.00007482659,0.000015617168],"category_scores_gemma":[0.00055343076,0.00005914277,0.00011537837,0.0006527959,0.00062434055,0.00015345827,0.000174063,0.0008834027,0.0000061505666],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0044231596,0.00019806795,0.5231117,0.00006106551,0.00023011329,0.000045763085,0.013462922,0.00013673762,0.00000604884,0.029651571,0.0058637965,0.4228091],"study_design_scores_gemma":[0.0030858305,0.00015892957,0.8626863,0.00009876838,0.000015251697,0.000008731754,0.0032370272,0.0011611317,0.000013585606,0.075767644,0.05361676,0.00015009161],"about_ca_topic_score_codex":0.009499879,"about_ca_topic_score_gemma":0.00196425,"teacher_disagreement_score":0.42265898,"about_ca_system_score_codex":0.00014118117,"about_ca_system_score_gemma":0.00015671639,"threshold_uncertainty_score":0.99709594},"labels":[],"label_agreement":null},{"id":"W4412906162","doi":"10.1111/1540-6229.70002","title":"Human mobility and commercial real estate: Evidence from REIT operating performance","year":2025,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Real estate investment trust; Economics; Real estate; Financial economics; Business; Finance; Monetary economics","score_opus":0.03922787168710502,"score_gpt":0.25755075812473055,"score_spread":0.21832288643762554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412906162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77529657,0.000041274227,0.000052775464,0.00025131827,0.00048982096,0.00024188425,0.00014318703,0.00007340489,0.22340976],"genre_scores_gemma":[0.921402,0.076595046,0.0011210751,0.00012547582,0.00017008855,0.00003165528,0.000063376276,0.000044681386,0.00044662147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99724567,0.00004000727,0.0012549009,0.0009109168,0.000019191919,0.0005292863],"domain_scores_gemma":[0.9984567,0.0002379827,0.00043898184,0.000668423,0.000034773264,0.00016313595],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011575723,0.00034022145,0.0007768367,0.0002053662,0.0004953048,0.0003693852,0.00039964763,0.0002078062,0.00013038507],"category_scores_gemma":[0.00009028157,0.0004499225,0.00011393395,0.00013403504,0.00021589166,0.00090596505,0.000287422,0.00033124763,0.00013884598],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000109218294,0.00011681082,0.7425055,0.00015925092,0.00012387603,0.000004875933,0.0022635888,0.0028081534,0.000058394882,0.008019527,0.00042249303,0.24340832],"study_design_scores_gemma":[0.0016076724,0.00019923697,0.85646015,0.00018191735,0.000043767155,0.000004626124,0.00046557654,0.11627801,0.00024129284,0.0070102415,0.016317008,0.001190492],"about_ca_topic_score_codex":0.019570902,"about_ca_topic_score_gemma":0.0037681523,"teacher_disagreement_score":0.24221782,"about_ca_system_score_codex":0.0004822423,"about_ca_system_score_gemma":0.0001089566,"threshold_uncertainty_score":0.99979526},"labels":[],"label_agreement":null},{"id":"W4413004472","doi":"10.1016/j.jue.2025.103784","title":"The effects of residential zoning in U.S. housing markets","year":2025,"lang":"en","type":"article","venue":"Journal of Urban Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Harvard Kennedy School; Furman Center for Real Estate and Urban Policy, New York University; University of Colorado Boulder; University of British Columbia; University of Toronto; University of East Anglia; Seoul National University; Arizona State University; Syracuse University; Yale University","keywords":"Zoning; Business; Economics; Civil engineering; Engineering","score_opus":0.007404635119854543,"score_gpt":0.1953898983670726,"score_spread":0.18798526324721807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413004472","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96651405,0.0035318148,0.00044577103,0.0004618015,0.0029114387,0.000113744485,0.0000031055786,0.0000048351717,0.02601342],"genre_scores_gemma":[0.994033,0.0048265974,0.00044721525,0.000098183686,0.00018481519,0.00000187556,4.5629213e-7,0.000020838237,0.0003870621],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978901,0.000035082114,0.0016049562,0.00017250865,0.000017546712,0.0002797978],"domain_scores_gemma":[0.99766487,0.00060277793,0.0013741982,0.00026794468,0.000039174858,0.000051060764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017970351,0.00013877184,0.0005927327,0.00052108977,0.00010743432,0.0001264574,0.0004276648,0.000109563865,0.000015586806],"category_scores_gemma":[0.0005827574,0.0001424838,0.00022947602,0.000173839,0.00009447516,0.0003295878,0.00008712727,0.0002756786,0.000009976505],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079042924,0.00023188426,0.798261,0.000363362,0.00050769723,0.000033207365,0.00095596566,0.0018891984,0.0001177616,0.15452895,0.010651966,0.031668577],"study_design_scores_gemma":[0.009436459,0.00047006636,0.5140542,0.0012038035,0.00012049912,0.000049810555,0.00072385924,0.013741396,0.0029753833,0.2541187,0.20196919,0.0011366357],"about_ca_topic_score_codex":0.000058805897,"about_ca_topic_score_gemma":0.0001291378,"teacher_disagreement_score":0.2842068,"about_ca_system_score_codex":0.00031862655,"about_ca_system_score_gemma":0.0001250653,"threshold_uncertainty_score":0.58103204},"labels":[],"label_agreement":null},{"id":"W4413075966","doi":"10.1287/mksc.2022.0451","title":"Unequal Impact of Zestimate on the Housing Market","year":2025,"lang":"en","type":"article","venue":"Marketing Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Value (mathematics); Economics; Microeconomics; Business; Econometrics; Statistics; Mathematics","score_opus":0.02551879578144858,"score_gpt":0.2604963161395484,"score_spread":0.2349775203580998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413075966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59506047,0.000036413472,0.00030690266,0.00032419414,0.00028751002,0.0000814857,0.000011513141,0.000021888896,0.40386966],"genre_scores_gemma":[0.9986242,0.00003808166,0.0005217908,0.0001610419,0.000026544922,0.0000044048015,4.5998337e-7,0.000010594329,0.00061287987],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985907,0.00004773888,0.0004899024,0.00040492427,0.000054174747,0.00041257255],"domain_scores_gemma":[0.99839747,0.0006994127,0.00031381295,0.0004958901,0.00004284591,0.00005059668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008581653,0.00013830655,0.00027113705,0.00037987359,0.00039951122,0.00018810133,0.000653183,0.000044546694,0.00043735027],"category_scores_gemma":[0.0025621399,0.00011456786,0.00013530577,0.00094441813,0.00047017421,0.00018789562,0.00016386154,0.00014229615,0.0000553628],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043311482,0.00019424084,0.796331,0.00010554075,0.00008228784,0.000003716429,0.00041118235,0.004438221,0.000622809,0.15425088,0.0120583195,0.031068726],"study_design_scores_gemma":[0.00045121,0.0000946241,0.80829877,0.00025121545,0.0000082695215,0.000001539483,0.00011622994,0.16914731,0.00038860133,0.01828941,0.0025433253,0.0004094773],"about_ca_topic_score_codex":0.0001746462,"about_ca_topic_score_gemma":0.000006277805,"teacher_disagreement_score":0.40356377,"about_ca_system_score_codex":0.00023981283,"about_ca_system_score_gemma":0.00014526633,"threshold_uncertainty_score":0.47886786},"labels":[],"label_agreement":null},{"id":"W4413099325","doi":"10.1016/j.econmod.2025.107226","title":"Firm-level analysis of bubble formation in Chinese real estate equities","year":2025,"lang":"en","type":"article","venue":"Economic Modelling","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University; Ministerio de Ciencia, Innovación y Universidades; Ministerio de Ciencia e Innovación; Saint Louis University; Universidad Pontificia Comillas","keywords":"Economics; Real estate; Bubble; Financial economics; Econometrics; Monetary economics; Finance; Physics; Mechanics","score_opus":0.05179769307291483,"score_gpt":0.24767074115729132,"score_spread":0.1958730480843765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413099325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7658908,0.00007131237,0.052546687,0.00006388759,0.00024460547,0.00009041134,0.000091690075,0.000018114139,0.18098255],"genre_scores_gemma":[0.9946145,0.0030154206,0.001634735,0.000030298212,0.000028005494,0.000014010904,0.000063608735,0.000014450329,0.000584979],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982374,0.000011668404,0.0011472412,0.00032266535,0.000011839384,0.00026921704],"domain_scores_gemma":[0.99914485,0.000092108,0.00039901165,0.00031663242,0.000012372397,0.000035038865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071186066,0.00015440433,0.0007044885,0.0013200535,0.00005830575,0.000060525534,0.00021200303,0.00009696006,0.0001752456],"category_scores_gemma":[0.000014379098,0.00020022778,0.00020058629,0.00037119712,0.000035667403,0.00048666733,0.0000679941,0.000097309465,0.00007029679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000303309,0.000025798407,0.06622436,0.000044462085,0.00018756598,5.1097265e-7,0.0011087949,0.9023494,0.000006251767,0.027969157,0.00005496255,0.001998379],"study_design_scores_gemma":[0.00035814018,0.000008021939,0.0052241525,0.000014108889,0.00003333169,2.0430521e-7,0.00012145814,0.971631,0.0000417949,0.021564147,0.00082811265,0.0001755265],"about_ca_topic_score_codex":0.0041802796,"about_ca_topic_score_gemma":0.001915425,"teacher_disagreement_score":0.22872373,"about_ca_system_score_codex":0.00035746742,"about_ca_system_score_gemma":0.000033151813,"threshold_uncertainty_score":0.8165052},"labels":[],"label_agreement":null},{"id":"W4413224201","doi":"10.3390/jrfm18080445","title":"Inequality in Housing Payment Insecurity Across the United States During the COVID-19 Pandemic: Who Was Affected and Where?","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Poverty; Pandemic; Demographic economics; Vulnerability (computing); Inequality; Psychological intervention; Coronavirus disease 2019 (COVID-19); Geography; Payment; Development economics; Socioeconomics; Economic growth; Economics; Psychology; Medicine","score_opus":0.022434420259300175,"score_gpt":0.2579075302800315,"score_spread":0.23547311002073132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413224201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99252236,0.0019359839,0.003470321,0.0012334987,0.00026292112,0.0002159076,0.000037185542,0.000008930124,0.00031292022],"genre_scores_gemma":[0.9545809,0.04458597,0.000059821945,0.0006506012,0.00006128282,0.000005972817,0.0000017565557,0.000007836109,0.000045881123],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986916,0.00009574162,0.00071780843,0.00019778703,0.000039840994,0.00025722987],"domain_scores_gemma":[0.9990219,0.00019093075,0.00051652984,0.00018283089,0.00002291094,0.00006492298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029198092,0.00014186652,0.00036344666,0.00024594227,0.00043434958,0.00018654311,0.00019807841,0.000069022375,0.0000070417923],"category_scores_gemma":[0.00021056242,0.00010356264,0.0000682082,0.0003841735,0.00012380304,0.00013572228,0.00022693585,0.0003452022,0.0000010868096],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019888161,0.00006768547,0.96877396,0.00019235104,0.00005506661,0.000017760736,0.0048611076,0.0010290962,7.240358e-7,0.0084775165,0.00029053428,0.016035328],"study_design_scores_gemma":[0.0016962958,0.000036966307,0.8348827,0.000070788905,0.000026777052,0.0000069701764,0.0013104223,0.001049357,0.0000017354436,0.02847962,0.13228446,0.00015389937],"about_ca_topic_score_codex":0.0014668849,"about_ca_topic_score_gemma":0.002393105,"teacher_disagreement_score":0.13389125,"about_ca_system_score_codex":0.00022266265,"about_ca_system_score_gemma":0.000022271255,"threshold_uncertainty_score":0.4223162},"labels":[],"label_agreement":null},{"id":"W4413236941","doi":"10.1016/j.frl.2025.108144","title":"Climate risk and American depositary receipts","year":2025,"lang":"en","type":"article","venue":"Finance research letters","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Business; Economics; Financial economics","score_opus":0.02936579000959114,"score_gpt":0.2791204988524571,"score_spread":0.24975470884286596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413236941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94781166,0.0009321111,0.0009464026,0.0064195846,0.00024565498,0.00018661594,0.000062807216,0.00003878093,0.043356355],"genre_scores_gemma":[0.9829724,0.014003988,0.0017480734,0.00085684046,0.000077488236,0.0000409575,0.0000072313464,0.000022080218,0.00027097855],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982865,0.00006990767,0.00037578767,0.00052398705,0.000039739945,0.0007040737],"domain_scores_gemma":[0.99915254,0.00021687496,0.00013987574,0.00040253106,0.000024681545,0.00006346758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018153355,0.00012926201,0.0003344211,0.00047841502,0.00040384574,0.00014651746,0.00026682313,0.00005320524,0.000024939214],"category_scores_gemma":[0.00025051433,0.00015953192,0.00006203811,0.00060058077,0.00039996032,0.00019724235,0.0002085432,0.0004423894,0.00029026237],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012709454,0.00006483226,0.719904,0.000095482676,0.00005541464,0.000025376177,0.00030719652,0.00009675348,0.00014297837,0.043985035,0.026382402,0.20881343],"study_design_scores_gemma":[0.0008881163,0.00013463874,0.6269697,0.0001175531,0.000008024618,0.000005161866,0.00014823966,0.0058942186,0.00022765041,0.018999098,0.34604004,0.0005675792],"about_ca_topic_score_codex":0.0010562311,"about_ca_topic_score_gemma":0.00011815531,"teacher_disagreement_score":0.31965762,"about_ca_system_score_codex":0.00015632673,"about_ca_system_score_gemma":0.00001893231,"threshold_uncertainty_score":0.6505523},"labels":[],"label_agreement":null},{"id":"W4413324704","doi":"10.1016/j.jhe.2025.102078","title":"Upzoning and redevelopment: The details matter","year":2025,"lang":"en","type":"article","venue":"Journal of Housing Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Redevelopment; Computer science; Engineering; Civil engineering","score_opus":0.01595882670523367,"score_gpt":0.20046992186030077,"score_spread":0.1845110951550671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413324704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89358485,0.0011424498,0.0020242806,0.0049550654,0.0013129705,0.00007886695,0.0000046344003,0.000009300901,0.0968876],"genre_scores_gemma":[0.99323803,0.0014868799,0.0029984035,0.0013643317,0.00016032414,0.0000014887337,6.2279383e-7,0.000022816172,0.0007271294],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985528,0.000013310186,0.0010060373,0.00018346915,0.000011893063,0.00023249308],"domain_scores_gemma":[0.9988086,0.00011463062,0.00078168046,0.00020826691,0.000031840988,0.00005494415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012348962,0.00014019237,0.0004307428,0.00029748902,0.00021056224,0.00028253367,0.00026866698,0.000084438136,0.00013685731],"category_scores_gemma":[0.000064501895,0.00013063065,0.00011838851,0.000096707576,0.00008999022,0.00033884824,0.00009565682,0.00022944539,0.00005473825],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017818993,0.00011175576,0.82654804,0.00011328061,0.0006901956,0.000014416388,0.0019052892,0.0033791198,0.000045904082,0.10255868,0.02305945,0.041395653],"study_design_scores_gemma":[0.0024467718,0.000100801604,0.089498706,0.0002460056,0.00009010781,0.00020340206,0.00073874067,0.006940869,0.00044631018,0.25897834,0.6394406,0.0008693324],"about_ca_topic_score_codex":0.000021160704,"about_ca_topic_score_gemma":0.000022261029,"teacher_disagreement_score":0.73704934,"about_ca_system_score_codex":0.00018831561,"about_ca_system_score_gemma":0.00007666961,"threshold_uncertainty_score":0.5326963},"labels":[],"label_agreement":null},{"id":"W4413398958","doi":"10.1177/00420980251359191","title":"Housing affordability and rent control: The case of elderly renters","year":2025,"lang":"en","type":"article","venue":"Urban Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Control (management); Rental housing; Affordable housing; Business; Economics; Labour economics; Economic growth; Public economics; Renting; Political science","score_opus":0.03188424035048704,"score_gpt":0.24684561557522117,"score_spread":0.21496137522473413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413398958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9643003,0.012175442,0.00049444666,0.001729481,0.00047976736,0.00017566248,0.000031972697,0.000019889063,0.020593077],"genre_scores_gemma":[0.9985316,0.0009924904,0.00011414615,0.0001399253,0.000031516836,0.000010042693,4.5730874e-7,0.000006398068,0.00017346145],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99918914,0.000017792,0.00042325194,0.00021391334,0.000007699537,0.00014817766],"domain_scores_gemma":[0.9993189,0.00022063113,0.00017266735,0.00024273204,0.000027218199,0.000017840832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006280693,0.00009885572,0.00037221672,0.00008411631,0.00018760738,0.000030940362,0.00007638977,0.000032243945,0.000007694578],"category_scores_gemma":[0.00019599096,0.00008350491,0.00006981184,0.000095519514,0.00023632798,0.000062708634,0.00008033104,0.000069071466,0.0000036820306],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017914352,0.00015449348,0.61895794,0.0004424975,0.0012511383,0.000037407233,0.006427597,0.000090474154,0.0000096192225,0.28852287,0.015484567,0.068442225],"study_design_scores_gemma":[0.007729288,0.0008563022,0.09630482,0.0004898462,0.000499109,0.00011365952,0.029963156,0.014734693,0.00021970071,0.6994291,0.14787956,0.0017807978],"about_ca_topic_score_codex":0.00019099323,"about_ca_topic_score_gemma":0.00033449754,"teacher_disagreement_score":0.52265316,"about_ca_system_score_codex":0.000060048264,"about_ca_system_score_gemma":0.000008189102,"threshold_uncertainty_score":0.34052312},"labels":[],"label_agreement":null},{"id":"W4413434523","doi":"10.1108/jpif-01-2025-0014","title":"Assessing the impact of Environmental, Social and Governance (ESG) framework on the performance of listed real estate companies in Malaysia","year":2025,"lang":"en","type":"article","venue":"Journal of Property Investment and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Business; Corporate governance; Real estate; Accounting; Environmental planning; Environmental resource management; Finance; Environmental science","score_opus":0.0349759552605506,"score_gpt":0.25305900949956067,"score_spread":0.2180830542390101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413434523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915007,0.00064904144,0.000009862741,0.00073092885,0.00007999223,0.00011396146,0.000013808352,0.0000011796841,0.0069005773],"genre_scores_gemma":[0.9774709,0.022086535,0.00018058423,0.00011410126,0.000028219562,0.0000027005722,3.241876e-7,0.0000068555632,0.00010982271],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990485,0.00003156442,0.00062761,0.00011834137,0.00003582132,0.00013821026],"domain_scores_gemma":[0.99887073,0.0001242539,0.00085619616,0.00012449376,0.000012084151,0.0000122456695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005975162,0.00011762643,0.000384748,0.00006706848,0.000109318076,0.00005671845,0.0001716173,0.000059540725,0.000008910734],"category_scores_gemma":[0.000051886975,0.00006438573,0.00007987029,0.00011974197,0.00027189965,0.0002544729,0.000055505578,0.00023802198,6.9380104e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003513469,0.00032714236,0.9266595,0.0001193803,0.00015230456,0.0000051574802,0.0039466014,0.0023615782,0.00019151639,0.041971188,0.0007105755,0.023203691],"study_design_scores_gemma":[0.00040303782,0.00025881917,0.9801882,0.00027358078,0.0000096074145,0.0000055283003,0.00020134632,0.0141263595,0.000114971146,0.0032160378,0.0011018489,0.00010066454],"about_ca_topic_score_codex":0.00013230488,"about_ca_topic_score_gemma":0.000004835639,"teacher_disagreement_score":0.05352868,"about_ca_system_score_codex":0.00010763475,"about_ca_system_score_gemma":0.00004141073,"threshold_uncertainty_score":0.2625574},"labels":[],"label_agreement":null},{"id":"W4413502008","doi":"10.64628/aa.ceau3wpse","title":"Think private renting is hard? First Nations people can be excluded from the start","year":2022,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Renting; Start up; Business; Political science; Economic growth; Economics; Law; Business administration","score_opus":0.04138161210951549,"score_gpt":0.20188230546802693,"score_spread":0.16050069335851144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413502008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8476975,0.00013393552,0.00030417173,0.031494237,0.0009353425,0.00023940124,0.0009108753,0.00009469616,0.11818983],"genre_scores_gemma":[0.9920452,0.00023029733,0.000702509,0.0027782365,0.00014440989,0.00003792508,0.000118284916,0.000032253425,0.0039108857],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987905,0.000019364197,0.0004744352,0.0003882434,0.00004165836,0.00028577851],"domain_scores_gemma":[0.99891484,0.00027190006,0.00024959468,0.0004978281,0.000012763859,0.000053074455],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00063043914,0.00012921011,0.00024664414,0.00011282668,0.0015071025,0.00019185792,0.00044951227,0.000038977163,0.011760217],"category_scores_gemma":[0.00014462174,0.00013512225,0.00012399272,0.00026599463,0.00002645608,0.00014809312,0.000339514,0.00020794528,0.00019875041],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031819465,0.00019381108,0.55218256,0.000022111422,0.00022811562,0.0000029185246,0.03429587,0.0019699377,0.000013336712,0.3015296,0.10888476,0.0006451893],"study_design_scores_gemma":[0.00061791926,0.000031146814,0.06977822,0.000005427314,0.000013173098,0.0000018941442,0.0027927302,0.022011288,0.00003871302,0.03590282,0.8683606,0.00044610852],"about_ca_topic_score_codex":0.006675391,"about_ca_topic_score_gemma":0.016575525,"teacher_disagreement_score":0.7594758,"about_ca_system_score_codex":0.00022656513,"about_ca_system_score_gemma":0.00002965565,"threshold_uncertainty_score":0.99993926},"labels":[],"label_agreement":null},{"id":"W4413527255","doi":"10.1142/s2424922x2550007x","title":"Predictions of Residential Property Prices for Ningbo City of Zhejiang Province in China Using Machine Learning","year":2025,"lang":"en","type":"article","venue":"Advances in Data Science and Adaptive Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"China; Property (philosophy); Business; Residential property; Agricultural economics; Geography; Economics; Economic geography; Archaeology","score_opus":0.04413277427496717,"score_gpt":0.2910167598939952,"score_spread":0.24688398561902805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413527255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80954105,0.0041143093,0.17518277,0.00013708005,0.00014814855,0.00043783744,0.00052021694,0.000011172341,0.009907394],"genre_scores_gemma":[0.9905601,0.0016467228,0.0076655676,0.0000071681825,0.000009065902,0.0000051745565,0.000021315018,0.0000030479507,0.00008181173],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987394,0.000012466952,0.0005402941,0.00048041917,0.000045395216,0.00018199944],"domain_scores_gemma":[0.9991634,0.000076555494,0.00037990796,0.00030685493,0.000050586365,0.00002272792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018372277,0.00008094648,0.00039734787,0.0010694911,0.00013448329,0.000034728375,0.00046057507,0.000029513796,0.00000951856],"category_scores_gemma":[0.00057355786,0.0000752498,0.00004077369,0.0021103946,0.00035429423,0.0018800921,0.00028671816,0.00008975536,1.2697154e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066921886,0.00007238331,0.95677,0.000060295497,0.00006651735,4.2123293e-7,0.00025785388,0.03282259,0.00012641201,0.0053005633,0.0000031059744,0.004452932],"study_design_scores_gemma":[0.00027637716,0.000038230948,0.061238065,0.00005418183,0.000056991565,1.5907551e-7,0.0002736215,0.93355495,0.00018262224,0.0031188605,0.0010988658,0.00010710185],"about_ca_topic_score_codex":0.0030608338,"about_ca_topic_score_gemma":0.008069717,"teacher_disagreement_score":0.90073234,"about_ca_system_score_codex":0.00008190775,"about_ca_system_score_gemma":0.00011876718,"threshold_uncertainty_score":0.46270853},"labels":[],"label_agreement":null},{"id":"W4413579614","doi":"10.1177/08912424251369834","title":"Can Industrial Reinvestment Reverse Neighborhood Decline? Evidence from Automotive Investment in Detroit, Michigan, and Windsor, Ontario, 1980s-2020s","year":2025,"lang":"en","type":"article","venue":"Economic Development Quarterly","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Windsor; Investment (military); Automotive industry; Business; Industrial city; Relocation; Economic growth; Economics; Engineering; Economic geography; Political science; Politics","score_opus":0.029362828192124206,"score_gpt":0.2127514458404288,"score_spread":0.18338861764830458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413579614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9720277,0.000417078,0.00014763084,0.0024978376,0.0017889529,0.00062934397,0.00006513432,0.000059905542,0.022366421],"genre_scores_gemma":[0.9901447,0.00016622544,0.0039539416,0.0029470692,0.00016933036,0.00013727178,0.00009169685,0.000047758145,0.0023419675],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962765,0.000057338424,0.0017786119,0.0012015456,0.00004482544,0.000641152],"domain_scores_gemma":[0.99844384,0.00021190317,0.00055014907,0.00053571817,0.000020755911,0.00023761844],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010404474,0.00047762,0.0009249871,0.00061071565,0.00017479857,0.00028475784,0.0004619208,0.00029674778,0.0005670412],"category_scores_gemma":[0.00008528789,0.000626122,0.00011206289,0.00017802583,0.000108196706,0.0005330534,0.00018165291,0.00043105,0.00043557596],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001808047,0.00016296683,0.9487709,0.00002805764,0.00033969418,0.000020317862,0.0148542365,0.000109066874,0.000012842908,0.020927107,0.0027639142,0.011830132],"study_design_scores_gemma":[0.006375515,0.00034991946,0.7705842,0.0005922314,0.00004925486,0.000004776938,0.0015144862,0.0023486533,0.00027038652,0.12712024,0.08906668,0.0017236284],"about_ca_topic_score_codex":0.03568061,"about_ca_topic_score_gemma":0.21172813,"teacher_disagreement_score":0.17818664,"about_ca_system_score_codex":0.0027276524,"about_ca_system_score_gemma":0.0010389425,"threshold_uncertainty_score":0.999619},"labels":[],"label_agreement":null},{"id":"W4413729812","doi":"10.64628/aai.da7ejtasd","title":"Does climate change affect real estate prices? Only if you believe in it","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Affect (linguistics); Real estate; Climate change; Estate; Economics; Natural resource economics; Business; Financial economics; Econometrics; Finance; Geology; Linguistics; Philosophy","score_opus":0.045755907160643206,"score_gpt":0.25657624579605515,"score_spread":0.21082033863541194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413729812","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47420776,0.000049723414,0.00007512406,0.0011937873,0.0031195828,0.0006895121,0.00043643592,0.00012710605,0.52010095],"genre_scores_gemma":[0.86588067,0.12253657,0.0041384436,0.0010913236,0.0024355508,0.00034423196,0.00041424166,0.00027565839,0.0028832816],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996294,0.000033380253,0.0013277701,0.0013628508,0.000043463377,0.0009385115],"domain_scores_gemma":[0.9976591,0.00009455032,0.0010186796,0.0010245333,0.000036142817,0.00016699742],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0019235754,0.00055752543,0.0012145984,0.00067820644,0.000111284506,0.00035018858,0.000696958,0.00064846803,0.0012464431],"category_scores_gemma":[0.00007822028,0.00051111676,0.00029390818,0.00019340983,0.00011411044,0.0003535859,0.0011547202,0.0006272229,0.0022330896],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027073573,0.00048763174,0.8952961,0.0014735104,0.00024360689,0.00006309956,0.008810366,0.00016493614,0.0000016434327,0.022876486,0.0043310514,0.065980844],"study_design_scores_gemma":[0.0036601971,0.0005354912,0.52339137,0.0011129356,0.000092804694,0.000016590857,0.00092310586,0.039152827,0.00006231454,0.10098842,0.3237057,0.0063582473],"about_ca_topic_score_codex":0.006021286,"about_ca_topic_score_gemma":0.008979208,"teacher_disagreement_score":0.5172177,"about_ca_system_score_codex":0.00047433397,"about_ca_system_score_gemma":0.00007411736,"threshold_uncertainty_score":0.99973404},"labels":[],"label_agreement":null},{"id":"W4414068385","doi":"10.3390/realestate2030015","title":"The Impact of Rising Mortgage Rates on Housing Demand Among Middle-Income Groups: Evidence from Chile","year":2025,"lang":"en","type":"article","venue":"Real Estate","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Extrapolation; Markov chain Monte Carlo; Bayesian probability; Bayesian vector autoregression; Autoregressive model; Quarter (Canadian coin); Impulse response","score_opus":0.034496935800677725,"score_gpt":0.27064523383749045,"score_spread":0.23614829803681273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414068385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9442334,0.00034489945,0.00032898795,0.000059872793,0.00030213624,0.00016045177,0.00006707204,0.000035360314,0.054467827],"genre_scores_gemma":[0.9872475,0.012354731,0.00014407566,0.000013194233,0.00006526857,0.000006523744,0.0000086663695,0.000025373562,0.00013464644],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985554,0.000041118255,0.00067554397,0.00035576255,0.00002883255,0.00034332988],"domain_scores_gemma":[0.9982907,0.00070733816,0.0004556223,0.00045740427,0.000023188315,0.00006575076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008756991,0.00018995465,0.00043419865,0.00016689282,0.0002822492,0.00019486732,0.00028593634,0.00008261742,0.000032624142],"category_scores_gemma":[0.00021145855,0.00016397717,0.00020345274,0.00023332864,0.00013366686,0.0003083866,0.00008650939,0.00018418457,0.000048275262],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001899836,0.000055447636,0.97092897,0.000049489157,0.00019659068,0.000007817039,0.0010436564,0.0072654574,0.000053222364,0.0015500713,0.00009366517,0.018565603],"study_design_scores_gemma":[0.000412775,0.00009380568,0.94450325,0.0005338054,0.000016817872,4.951789e-7,0.0001139582,0.038903847,0.0003211205,0.014660932,0.00017921433,0.00026000044],"about_ca_topic_score_codex":0.015111994,"about_ca_topic_score_gemma":0.00081212306,"teacher_disagreement_score":0.054333184,"about_ca_system_score_codex":0.00023268427,"about_ca_system_score_gemma":0.000048160986,"threshold_uncertainty_score":0.99144644},"labels":[],"label_agreement":null},{"id":"W4414200893","doi":"10.1111/cag.70032","title":"An over time comparison of linear and spatial regression model parameters to predict average housing values: Evidence from two Canadian cities","year":2025,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Windsor","funders":"Health Canada","keywords":"Linear regression; Autoregressive model; Regression analysis; Stability (learning theory); Consistency (knowledge bases); Regression; Linear model; Real estate; Spatial analysis","score_opus":0.02007922152517583,"score_gpt":0.2275256240993588,"score_spread":0.20744640257418298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414200893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917669,0.0022576954,0.0003235945,0.00051539956,0.0006396135,0.00040960015,0.0014738367,0.000056575915,0.0025567294],"genre_scores_gemma":[0.9962715,0.0011583557,0.0016219976,0.000557563,0.00008746677,0.000025217747,0.00011351445,0.00005397559,0.00011040667],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99708134,0.00005055257,0.0008907333,0.0008705637,0.000066840184,0.0010399688],"domain_scores_gemma":[0.9972031,0.00019141419,0.00028440732,0.0007646287,0.00009467297,0.0014617628],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00046111958,0.00044114792,0.0009112318,0.0058367047,0.0006787297,0.00023138414,0.00057094,0.0002506374,0.00010416563],"category_scores_gemma":[0.00021036767,0.0005471575,0.00020978467,0.0017161327,0.0006928264,0.0005082886,0.00006676676,0.00025607934,0.000010445138],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006926339,0.000015030571,0.9737584,0.000052019404,0.00016909595,0.000011181927,0.0033011667,0.011958818,0.000019424626,0.0014697779,0.0020318413,0.0071440097],"study_design_scores_gemma":[0.001355721,0.00046893733,0.44990802,0.0013339887,0.00017867291,0.000003765773,0.004204044,0.5043972,0.00017216639,0.027987456,0.007712844,0.0022771913],"about_ca_topic_score_codex":0.99104846,"about_ca_topic_score_gemma":0.9986803,"teacher_disagreement_score":0.5238504,"about_ca_system_score_codex":0.0003126926,"about_ca_system_score_gemma":0.0004071667,"threshold_uncertainty_score":0.999698},"labels":[],"label_agreement":null},{"id":"W4414309558","doi":"10.1080/2329194x.2025.2552381","title":"The relationship between revenue and expenditure in modern Japan: A wavelet-based analysis of 150 years","year":2025,"lang":"en","type":"article","venue":"The Japanese Political Economy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Revenue; Government (linguistics); Capital expenditure; Work (physics)","score_opus":0.033193753213590894,"score_gpt":0.25728076531289135,"score_spread":0.22408701209930046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414309558","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.934579,0.0002675353,0.00013722279,0.004902178,0.00007160744,0.00016740998,0.00013181838,0.000009556598,0.05973364],"genre_scores_gemma":[0.99892265,0.0000098321425,0.000046801455,0.00044890252,0.000050155948,0.000025551395,0.000017588822,0.000011649385,0.00046686985],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99862117,0.000057638805,0.0006664942,0.0002709551,0.00001720651,0.0003665269],"domain_scores_gemma":[0.99731064,0.0019543273,0.00017110255,0.00047816063,0.000011972871,0.00007379735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001053807,0.00012502715,0.00048919104,0.00036906567,0.00012925905,0.0000769224,0.00029186596,0.000124441,0.000026233034],"category_scores_gemma":[0.0003399062,0.000109098146,0.00014811802,0.00037993075,0.00026302744,0.000088494686,0.00007281467,0.00023288326,0.000019402436],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013908982,0.000015839209,0.47144943,0.000017907529,0.00013797244,3.6666788e-7,0.0004351083,0.000068859736,1.4608013e-7,0.5270186,0.000082469676,0.00075939216],"study_design_scores_gemma":[0.0003307663,0.000010022807,0.6891156,0.000013607072,0.00008624755,3.2887633e-7,0.0003473138,0.013304769,0.000002502606,0.2942463,0.0024188762,0.00012368681],"about_ca_topic_score_codex":0.0007540302,"about_ca_topic_score_gemma":0.00038007827,"teacher_disagreement_score":0.2327723,"about_ca_system_score_codex":0.00013633168,"about_ca_system_score_gemma":0.000044453813,"threshold_uncertainty_score":0.4448893},"labels":[],"label_agreement":null},{"id":"W4414586895","doi":"10.33423/jabe.v27i4.7878","title":"Benchmarking Correctional Facilities in the United States: An Undesirable Output Data Envelopment Analysis Model","year":2025,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Data envelopment analysis; Benchmarking; Benchmark (surveying); Performance measurement; Program evaluation","score_opus":0.0640199415790239,"score_gpt":0.23185546025600076,"score_spread":0.16783551867697688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414586895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95322376,0.00013905352,0.029418694,0.00047514992,0.00042271242,0.00010726024,0.00012546986,0.0000063707676,0.016081497],"genre_scores_gemma":[0.99206835,0.00478962,0.002054275,0.0006130945,0.000093718765,0.0000049873347,0.00022989909,0.000011701834,0.00013433832],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99841464,0.0000116516685,0.001008102,0.00031393173,0.000024999708,0.00022669722],"domain_scores_gemma":[0.998851,0.000107116764,0.00054741063,0.0003942839,0.000050147322,0.000050056486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018525202,0.00016559738,0.00055818167,0.0010477079,0.000159342,0.000309952,0.0005312257,0.00009081029,0.000028594273],"category_scores_gemma":[0.000022469821,0.00015784006,0.00006301848,0.00060946005,0.00007062691,0.00049634755,0.00012343418,0.00019834748,0.0000034242687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016481607,0.00014060628,0.019228723,0.000038033628,0.00032916205,0.0000018820087,0.0018929543,0.92316884,3.9201177e-7,0.042192947,0.0005576634,0.012283958],"study_design_scores_gemma":[0.0006424557,0.000016714384,0.016571233,0.000013085057,0.000076046206,0.0000053626,0.0027931593,0.9076253,0.0000012770264,0.040307757,0.031718537,0.00022906887],"about_ca_topic_score_codex":0.00036195156,"about_ca_topic_score_gemma":0.00047444753,"teacher_disagreement_score":0.038844574,"about_ca_system_score_codex":0.00017338523,"about_ca_system_score_gemma":0.00011674533,"threshold_uncertainty_score":0.6436531},"labels":[],"label_agreement":null},{"id":"W4414625120","doi":"10.1016/j.jenvman.2025.127417","title":"Is there an additional price premium for single-family houses exposed to urban parks? Insights from causal spatio-temporal matching in Québec city","year":2025,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"Social Sciences and Humanities Research Council of Canada; Ville de Québec","keywords":"Real estate; Externality; Price premium; Neighbourhood (mathematics); Matching (statistics); Identification (biology); Hedonic pricing; Differential (mechanical device); Exposition (narrative)","score_opus":0.024395296317216073,"score_gpt":0.20380905840583255,"score_spread":0.17941376208861648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414625120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9828801,0.00038017338,0.003498914,0.00037962772,0.00038275763,0.00034882975,0.00050086714,0.0000091216525,0.011619608],"genre_scores_gemma":[0.9938432,0.00012342828,0.004455775,0.00089899293,0.00015192549,0.00002617602,0.00008878951,0.000024753093,0.00038698444],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985729,0.000020549374,0.00082733267,0.00030962357,0.000061434046,0.00020815682],"domain_scores_gemma":[0.99913865,0.00008299443,0.00046990742,0.00020943163,0.0000053165045,0.00009371993],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00025295196,0.00017498089,0.0003579115,0.00032896685,0.000090036534,0.00010238652,0.00027226124,0.0000669464,0.0010078707],"category_scores_gemma":[0.000012869089,0.00020061398,0.00012636781,0.000083812214,0.00003037126,0.00043671238,0.00011094957,0.00012524534,0.0000338422],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023571004,0.005550199,0.86649925,0.00025532822,0.0014758456,0.00014490775,0.008985595,0.006446091,0.0012613982,0.010379857,0.076883286,0.019761126],"study_design_scores_gemma":[0.0023432807,0.0004170934,0.7207571,0.00018806366,0.00004315924,0.000001920363,0.0015510712,0.0008338611,0.00023750414,0.021809086,0.25132838,0.00048941205],"about_ca_topic_score_codex":0.00050037913,"about_ca_topic_score_gemma":0.0008898786,"teacher_disagreement_score":0.17444511,"about_ca_system_score_codex":0.00084591523,"about_ca_system_score_gemma":0.000022057073,"threshold_uncertainty_score":0.99990535},"labels":[],"label_agreement":null},{"id":"W4414667392","doi":"10.5220/0013689900004670","title":"Machine Learning-Based Approaches to Forecasting Housing Prices in the Canadian Market","year":2025,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Economic forecasting; Government (linguistics); Productivity; Production (economics)","score_opus":0.10767479490633294,"score_gpt":0.20787786241860237,"score_spread":0.10020306751226943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414667392","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.071174055,0.00016160394,0.0042749355,0.0068225716,0.00019267548,0.00028913407,0.000012034943,0.000033681234,0.91703933],"genre_scores_gemma":[0.99457926,0.000010043572,0.0023334569,0.0019742423,0.000035104054,0.000025380388,0.000009210633,0.000015606533,0.0010177166],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887687,0.00002203523,0.00038475767,0.00031082306,0.000017857368,0.0003876383],"domain_scores_gemma":[0.99945426,0.00015164341,0.00009216224,0.00022020545,0.0000069113867,0.00007480775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017221187,0.00013045534,0.00023477314,0.00062463456,0.00028975055,0.0002711424,0.00030311654,0.00008102424,0.00026672622],"category_scores_gemma":[0.00023095036,0.00012538365,0.000059225204,0.0005226599,0.00002555641,0.00009691458,0.00003634688,0.0002168403,0.000064859174],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038024726,0.000061311905,0.8349181,0.00006589534,0.000028040156,0.000009244395,0.00092972774,0.027426502,1.903045e-7,0.116191275,0.0023538377,0.017977864],"study_design_scores_gemma":[0.00041165468,0.00003081552,0.037559353,0.000031689884,0.000004466589,0.0000011745573,0.00028158794,0.7347831,0.0000057876855,0.008834133,0.21774015,0.0003160706],"about_ca_topic_score_codex":0.11426045,"about_ca_topic_score_gemma":0.6103218,"teacher_disagreement_score":0.9234052,"about_ca_system_score_codex":0.00028842367,"about_ca_system_score_gemma":0.00010524068,"threshold_uncertainty_score":0.89163774},"labels":[],"label_agreement":null},{"id":"W4414679749","doi":"10.5539/ijef.v17n11p12","title":"Financial Drivers and Long-Term Value in Saudi Arabia’s Sustainable Real Estate Investment","year":2025,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; Conceptualization; Stakeholder; Government (linguistics); Value (mathematics); Investment (military); Corporate Real Estate; Market value; Qualitative research","score_opus":0.011791044972024928,"score_gpt":0.21873303475284317,"score_spread":0.20694198978081824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414679749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.961428,0.0005065688,0.0001175888,0.0012010148,0.00086550135,0.00009201288,0.000021218208,0.0000029229072,0.035765156],"genre_scores_gemma":[0.89526546,0.103009015,0.00051380676,0.00044504376,0.0001101442,0.0000039108113,0.0000036406998,0.000011202373,0.0006377997],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986246,0.000011013662,0.00084449345,0.00026319872,0.000018080678,0.00023858063],"domain_scores_gemma":[0.9991424,0.000058760987,0.00057733164,0.00011187957,0.00006829849,0.00004132758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006312957,0.00014665294,0.00040615723,0.000498399,0.000057711095,0.00016421558,0.00026520816,0.0000940665,0.000010214087],"category_scores_gemma":[0.00008830685,0.0001830971,0.000079329286,0.000075466516,0.000104458995,0.0004933172,0.00013267886,0.00018233687,0.000004737966],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015541713,0.000084607134,0.19842814,0.000027522223,0.000074044496,0.00008236349,0.000410924,0.004309125,0.0000018647628,0.7799719,0.00025334585,0.016200755],"study_design_scores_gemma":[0.00375537,0.00016703157,0.59478664,0.0001661813,0.000015806341,0.00007537972,0.00016514974,0.014477521,0.000038690432,0.30790156,0.0779753,0.00047535138],"about_ca_topic_score_codex":0.00030697288,"about_ca_topic_score_gemma":0.00018940633,"teacher_disagreement_score":0.47207034,"about_ca_system_score_codex":0.00036637307,"about_ca_system_score_gemma":0.00013765157,"threshold_uncertainty_score":0.7466483},"labels":[],"label_agreement":null},{"id":"W4414787207","doi":"10.48550/arxiv.2509.15247","title":"Demand and consumer surplus in the payday-loan market: Evidence from British Columbia","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic surplus; Interest rate; Demand curve; Consumer welfare; Loan; Yield (engineering); Welfare; Aggregate demand","score_opus":0.049872821645552574,"score_gpt":0.22932369675599895,"score_spread":0.17945087511044638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414787207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9575736,0.010143114,0.00007122769,0.0006993065,0.0012050777,0.00049242686,0.00055407727,0.00003827952,0.029222881],"genre_scores_gemma":[0.97413117,0.021152223,0.00016765638,0.00087482756,0.000196227,0.00009168646,0.000050438564,0.000032196003,0.0033035832],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974419,0.00011501095,0.00094491476,0.0010342821,0.000040994928,0.00042289015],"domain_scores_gemma":[0.9979006,0.00068955,0.00044755626,0.0008495068,0.000030146422,0.00008266226],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015194027,0.00026323285,0.000828966,0.000118823125,0.00018635111,0.0009712955,0.0007083182,0.00042588642,0.0010253522],"category_scores_gemma":[0.00051870715,0.00039628232,0.00015935497,0.00016206261,0.00018195476,0.00021329155,0.00065287034,0.00074849254,0.00012586078],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001635094,0.00003948013,0.98043036,0.00010624487,0.00007317289,0.000027624874,0.00043706445,0.000016459833,5.961382e-7,0.0000320528,0.016241865,0.0025787416],"study_design_scores_gemma":[0.00040722842,0.000011990411,0.9618339,0.0004342093,0.000029080717,0.0000054295606,0.000074816526,0.00087367767,0.0000010597457,0.0092034815,0.026678685,0.0004464319],"about_ca_topic_score_codex":0.10721203,"about_ca_topic_score_gemma":0.12389859,"teacher_disagreement_score":0.025919298,"about_ca_system_score_codex":0.00016050547,"about_ca_system_score_gemma":0.00009897011,"threshold_uncertainty_score":0.9998878},"labels":[],"label_agreement":null},{"id":"W4414807908","doi":"10.1016/j.jmacro.2025.103723","title":"Time-varying interactions between monetary and housing credit policy","year":2025,"lang":"en","type":"article","venue":"Journal of Macroeconomics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Università degli Studi di Siena","keywords":"Monetary policy; Vector autoregression; Shared appreciation mortgage; Mortgage insurance; Credit channel; Government (linguistics); Structural vector autoregression","score_opus":0.020128235944712167,"score_gpt":0.24939828045411136,"score_spread":0.2292700445093992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414807908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9229369,0.0007281536,0.0018565594,0.0032647839,0.000972631,0.000083096136,0.000051443185,0.000019333938,0.070087105],"genre_scores_gemma":[0.9935827,0.0012042644,0.0027900506,0.000539998,0.0010510053,0.0000012576909,0.000005274698,0.000030482997,0.00079493166],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982845,0.00001639346,0.001193215,0.00022192806,0.000015383686,0.00026855752],"domain_scores_gemma":[0.9985671,0.00019043712,0.0008784524,0.00020406763,0.000039193164,0.00012075713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074850034,0.00016994418,0.00064420176,0.00087440683,0.00015848689,0.00018494361,0.0002475133,0.00009997188,0.0001277288],"category_scores_gemma":[0.00014788956,0.00021328843,0.00018020296,0.00015175011,0.0000994431,0.00061402936,0.0001209718,0.00033075013,0.000114454306],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037898155,0.00024841382,0.76955,0.00023478943,0.0018387224,0.00003882041,0.0014758937,0.007024935,0.0002012462,0.04359064,0.018983057,0.15643446],"study_design_scores_gemma":[0.005279146,0.00031210127,0.101344116,0.00039696408,0.00023835181,0.0002393972,0.00046318144,0.039654408,0.00051863166,0.24075389,0.60925806,0.0015417776],"about_ca_topic_score_codex":0.00008702903,"about_ca_topic_score_gemma":0.000012150545,"teacher_disagreement_score":0.6682059,"about_ca_system_score_codex":0.00035550454,"about_ca_system_score_gemma":0.00011485123,"threshold_uncertainty_score":0.869765},"labels":[],"label_agreement":null},{"id":"W4414972843","doi":"10.1177/87552930251377731","title":"Agent-based simulation of the effectiveness of policies for the adoption of seismic retrofits","year":2025,"lang":"en","type":"article","venue":"Earthquake Spectra","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Retrofitting; Seismic retrofit; Vulnerability (computing); Seismic risk; Earthquake scenario; Promotion (chess); Urban seismic risk","score_opus":0.020811822914259575,"score_gpt":0.23752049464963992,"score_spread":0.21670867173538036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414972843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95334464,0.00021145382,0.038759176,0.00018961198,0.00038034486,0.00042718553,0.000080111065,0.000007309871,0.006600186],"genre_scores_gemma":[0.9996525,0.00003255532,0.00012898156,0.000035933637,0.00002563764,0.0000093428225,0.000005010389,0.000008634077,0.00010138042],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9992873,0.00003751859,0.0004136023,0.0001273424,0.000021591952,0.000112634145],"domain_scores_gemma":[0.9986296,0.00067341083,0.00034771033,0.00029902297,0.000041127547,0.000009127828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092130475,0.000075647025,0.00026556852,0.00011374608,0.000061383376,0.000009468738,0.00016366228,0.000048906302,0.000018909159],"category_scores_gemma":[0.00019957407,0.00006198522,0.00018790277,0.00023115319,0.000092046226,0.00004537424,0.00001996351,0.000055428212,0.0000033492265],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044278245,0.00011493039,0.18650486,0.0006499151,0.00014386664,4.375682e-8,0.00031142085,0.6534358,0.0007264763,0.15147059,0.000060133923,0.006139141],"study_design_scores_gemma":[0.00071475556,0.000062009356,0.8257713,0.000084268744,0.00002276803,6.909253e-8,0.000043301647,0.1480379,0.010967927,0.012662874,0.0015538842,0.00007899039],"about_ca_topic_score_codex":0.00015211484,"about_ca_topic_score_gemma":0.00003921247,"teacher_disagreement_score":0.6392664,"about_ca_system_score_codex":0.000039661423,"about_ca_system_score_gemma":0.00003694195,"threshold_uncertainty_score":0.2527684},"labels":[],"label_agreement":null},{"id":"W4415022158","doi":"10.1108/sfr-05-2025-0007","title":"Assessing the impact of climate-related risks on Canadian real estate investment trusts: insights and implications for investors","year":2025,"lang":"en","type":"article","venue":"Sustainable Finance Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Renting; Investment (military); Index (typography); Revenue; Capital expenditure; Risk management; Risk–return spectrum; Operating expense","score_opus":0.040160502991833796,"score_gpt":0.3253809870086895,"score_spread":0.28522048401685574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415022158","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46802318,0.050385628,0.000059321334,0.003945843,0.00016658717,0.0023966162,0.00014766336,0.00003246452,0.4748427],"genre_scores_gemma":[0.4564448,0.5424384,0.00012505296,0.00043914083,0.000010928913,0.00018533683,0.000028379054,0.000019641504,0.00030833393],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984111,0.00003430371,0.00071787526,0.00034130912,0.000012539887,0.0004828315],"domain_scores_gemma":[0.99876934,0.00013912377,0.00045841633,0.00046456212,0.000083865554,0.00008470256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095882156,0.0001857765,0.0005661778,0.00026550944,0.00039663093,0.00010300052,0.0002052486,0.00009005988,0.000012810578],"category_scores_gemma":[0.00030639637,0.00015812405,0.0001679963,0.0005423354,0.00011078663,0.00028157467,0.000048044287,0.00013341923,0.0000072107914],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000082109855,0.000047062418,0.025294509,0.0021878977,0.000083058396,0.000001632879,0.0002524067,0.00037667764,4.219316e-7,0.90349907,0.0030944333,0.065154605],"study_design_scores_gemma":[0.0006992749,0.00018344716,0.32441938,0.0015647714,0.00007704426,0.000003156458,0.00037714714,0.0019184443,0.000003461315,0.16671951,0.5035639,0.00047046735],"about_ca_topic_score_codex":0.045646798,"about_ca_topic_score_gemma":0.0019229172,"teacher_disagreement_score":0.7367796,"about_ca_system_score_codex":0.0008850063,"about_ca_system_score_gemma":0.00052488,"threshold_uncertainty_score":0.9607083},"labels":[],"label_agreement":null},{"id":"W4415030814","doi":"10.1093/qje/qjaf047","title":"The Price of Housing in the United States, 1890–2006","year":2025,"lang":"en","type":"article","venue":"The Quarterly Journal of Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Fell; Real estate; Stylized fact; Renting; Economic rent; Relative price; Residential real estate; Capital (architecture)","score_opus":0.020437468186342265,"score_gpt":0.21856923974040382,"score_spread":0.19813177155406156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415030814","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98101777,0.00088808645,0.0006293355,0.0047707246,0.00082504726,0.00016205298,0.000032272626,0.0000042127217,0.011670493],"genre_scores_gemma":[0.99686676,0.002065902,0.00012322904,0.0006777865,0.00012583335,0.0000024330166,0.000003328961,0.00001761962,0.00011710114],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978734,0.000097017575,0.0015547876,0.00014504968,0.00002174654,0.00030796306],"domain_scores_gemma":[0.9972001,0.00083055865,0.0013880093,0.0004889326,0.000059329606,0.000033091448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036425958,0.0001556994,0.00044440807,0.00036462458,0.00023230785,0.00022921298,0.0010412566,0.00007614689,0.000020241008],"category_scores_gemma":[0.0000763334,0.00010212951,0.00018483514,0.0003618361,0.00018439053,0.00023697318,0.000031714095,0.00038357577,0.000016480566],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009763036,0.0005716114,0.06351682,0.00012779982,0.00090411946,0.000015811764,0.02635532,0.056666024,0.000020490388,0.7814564,0.012876666,0.05651262],"study_design_scores_gemma":[0.0027629682,0.0006842032,0.018650046,0.00014219884,0.000073486444,0.00006567664,0.0138279945,0.04696504,0.00006181114,0.6154995,0.30073485,0.0005322364],"about_ca_topic_score_codex":0.0003559741,"about_ca_topic_score_gemma":0.0005448843,"teacher_disagreement_score":0.2878582,"about_ca_system_score_codex":0.00017291393,"about_ca_system_score_gemma":0.000091255795,"threshold_uncertainty_score":0.41647205},"labels":[],"label_agreement":null},{"id":"W4415322950","doi":"10.1093/restud/rdaf092","title":"To Own or to Rent? The Effects of Transaction Taxes on Housing Markets","year":2025,"lang":"en","type":"article","venue":"The Review of Economic Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; University of California, Irvine; Universitat de Barcelona; University of California, Riverside; Chinese University of Hong Kong; Hebrew University of Jerusalem; London School of Economics and Political Science; Queen's University; Imperial College London","keywords":"Database transaction; Renting; Deadweight loss; Tax credit; Transaction cost; Empirical evidence","score_opus":0.03781102417364186,"score_gpt":0.2898429796855418,"score_spread":0.25203195551189994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415322950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66690826,0.21022364,0.0006242838,0.03211798,0.005527709,0.004095559,0.00012348346,0.000054434746,0.08032465],"genre_scores_gemma":[0.65449816,0.34036556,0.0001709842,0.0033305082,0.000110214474,0.00015029057,0.0000010366448,0.000026064952,0.0013471836],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99853796,0.000055012075,0.00089732604,0.0002870309,0.00001839958,0.00020428143],"domain_scores_gemma":[0.9980308,0.0009452432,0.0004165844,0.00055068504,0.000025517134,0.00003119709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014715509,0.00018139531,0.0009173256,0.00015856545,0.00014165354,0.00001774935,0.00037026533,0.000034097768,0.00007360343],"category_scores_gemma":[0.000672296,0.00011678809,0.00020701921,0.0002007913,0.00008772871,0.000065044995,0.00009465696,0.00008498117,0.0001499866],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015508615,0.00041478244,0.007723053,0.050782606,0.0044714985,0.00000320387,0.005783175,0.0014705472,0.00010652455,0.11203444,0.24133831,0.574321],"study_design_scores_gemma":[0.0025015313,0.0013522898,0.025193825,0.047085837,0.00072080264,0.000005650742,0.0016611179,0.00048171918,0.0043286313,0.028067589,0.8870688,0.0015321954],"about_ca_topic_score_codex":0.00006688244,"about_ca_topic_score_gemma":0.00009825039,"teacher_disagreement_score":0.6457305,"about_ca_system_score_codex":0.00019040979,"about_ca_system_score_gemma":0.000031168238,"threshold_uncertainty_score":0.476248},"labels":[],"label_agreement":null},{"id":"W4415483338","doi":"10.1080/10835547.2025.2565078","title":"Effects of Cost of Mortgage on House Prices: The Role of the Maturity Structure of Mortgage Contracts","year":2025,"lang":"en","type":"article","venue":"Journal of Real Estate Portfolio Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Maturity (psychological); Mortgage insurance; Mortgage underwriting; Work (physics); Order (exchange)","score_opus":0.005672170330000162,"score_gpt":0.20337126525197247,"score_spread":0.1976990949219723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415483338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9140002,0.00026192935,0.000094663184,0.00008882662,0.00043522206,0.00048447042,0.00006517072,0.000004843628,0.08456469],"genre_scores_gemma":[0.9901508,0.009434708,0.00018498716,0.000055484456,0.000026878502,0.0000023494663,0.0000012929099,0.000020059884,0.00012340365],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980347,0.000044239598,0.0014410643,0.00015999978,0.0001164001,0.00020357023],"domain_scores_gemma":[0.9959562,0.00018198242,0.0032737537,0.00045136496,0.00009048468,0.000046209167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009261571,0.00016946135,0.0007435364,0.00034893103,0.00004885008,0.000020277528,0.00056098175,0.00007766147,0.000025901336],"category_scores_gemma":[0.000082668405,0.00012085519,0.00029885536,0.00031123596,0.0001334212,0.00013102271,0.00011955308,0.00026019284,9.800742e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037944324,0.0038858403,0.34417242,0.008895763,0.0077855866,0.0001995289,0.0065071764,0.04037112,0.0067283805,0.34008247,0.0059327018,0.23164459],"study_design_scores_gemma":[0.0033988114,0.000483145,0.8866277,0.0008304748,0.000520267,0.000010890633,0.0010585086,0.0012228194,0.046518795,0.03502384,0.02395032,0.0003544639],"about_ca_topic_score_codex":0.0003609062,"about_ca_topic_score_gemma":0.000048649465,"teacher_disagreement_score":0.54245526,"about_ca_system_score_codex":0.00008547841,"about_ca_system_score_gemma":0.00004728306,"threshold_uncertainty_score":0.49283317},"labels":[],"label_agreement":null},{"id":"W4415526621","doi":"10.1080/01944363.2025.2563532","title":"Legislating Gentle Density From Above? Learning From the Divergent Outcomes of Three Small-Lot Densification Modes in California","year":2025,"lang":"en","type":"article","venue":"Journal of the American Planning Association","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"California Department of Housing and Community Development","keywords":"Work (physics)","score_opus":0.03227634895683333,"score_gpt":0.23062273433976305,"score_spread":0.1983463853829297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415526621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99311405,0.00017534349,0.004136208,0.0013211396,0.0003679547,0.000059169437,0.00003539661,0.0000056827535,0.00078505854],"genre_scores_gemma":[0.99902546,0.00005598961,0.0005965425,0.00017089794,0.00008154691,0.0000010233064,0.0000056705453,0.000007379256,0.00005549055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988614,0.00008757833,0.0007285564,0.00012270962,0.00006081314,0.00013897882],"domain_scores_gemma":[0.9960708,0.000698091,0.0029997008,0.00015327398,0.000059953614,0.00001818005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011804103,0.00008913848,0.00042518406,0.00010140104,0.00015000868,0.0000533319,0.00026835388,0.000046818797,0.0000070726005],"category_scores_gemma":[0.0011470593,0.00007118119,0.00015111682,0.00021159451,0.000030699674,0.00008947846,0.00006950515,0.00030207497,0.000006327819],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029948316,0.000021880913,0.9726298,0.0000014111312,0.00015299975,3.5867458e-7,0.0007986981,0.024991661,0.00010982515,0.000147325,0.0002265663,0.00088955794],"study_design_scores_gemma":[0.00024504025,0.000012104063,0.96942925,0.00004518829,0.000030598312,1.5664877e-7,0.0005003964,0.023372611,0.00007458694,0.0058372384,0.00038472388,0.00006810553],"about_ca_topic_score_codex":0.008078256,"about_ca_topic_score_gemma":0.00086455105,"teacher_disagreement_score":0.007213705,"about_ca_system_score_codex":0.000484097,"about_ca_system_score_gemma":0.000035589357,"threshold_uncertainty_score":0.99852705},"labels":[],"label_agreement":null},{"id":"W4415658280","doi":"10.15396/eres2025_73","title":"Persistence of market conditions in real estate markets","year":2025,"lang":"","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Persistence (discontinuity); Variable (mathematics); Market price; Capitalization rate; Index (typography); Focus (optics); Price index","score_opus":0.026278632727601198,"score_gpt":0.2321173520756535,"score_spread":0.2058387193480523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415658280","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34553698,0.00015338576,0.0001443799,0.0005900082,0.00092530064,0.00024828347,0.0002230746,0.000016398008,0.6521622],"genre_scores_gemma":[0.9326688,0.03868513,0.0006254262,0.00014092088,0.000029865072,0.000021513217,0.000021072177,0.000026777485,0.027780462],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965509,0.00006999924,0.0019481957,0.0007659139,0.00003293986,0.00063204835],"domain_scores_gemma":[0.9981672,0.00039037594,0.0005833987,0.0006844957,0.00005947789,0.00011504718],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016474151,0.0003226401,0.0010180641,0.0012001501,0.00013278621,0.00010431943,0.00048238324,0.00029337432,0.007894508],"category_scores_gemma":[0.00022500046,0.0004639938,0.00031827818,0.0008964784,0.00033261385,0.00038942436,0.00020526622,0.00029236404,0.00016004537],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005546137,0.00089453306,0.8303743,0.00087972876,0.0003505222,0.00002316162,0.0014223595,0.00035611037,0.000024337027,0.107737996,0.018932916,0.0384494],"study_design_scores_gemma":[0.0027796098,0.000113446215,0.8345432,0.00041693458,0.000057885023,0.0000042477673,0.0023039754,0.08113089,0.00008993072,0.022163387,0.05544032,0.00095612736],"about_ca_topic_score_codex":0.0015372213,"about_ca_topic_score_gemma":0.0012770998,"teacher_disagreement_score":0.6243817,"about_ca_system_score_codex":0.00040388148,"about_ca_system_score_gemma":0.0002237352,"threshold_uncertainty_score":0.9997812},"labels":[],"label_agreement":null},{"id":"W4415658413","doi":"10.15396/eres2025_184","title":"Real estate as a dynamic risk in the financial sector: New international evidence using wavelet quantile correlation","year":2025,"lang":"","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Financial crisis; Quantile; Capitalization rate; Stock (firearms); Real estate investment trust; Investment (military); Sample (material)","score_opus":0.03496807733841292,"score_gpt":0.27233522354474116,"score_spread":0.23736714620632823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415658413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79226905,0.00033446096,0.03032997,0.0013356474,0.0052134404,0.0004958868,0.00006272455,0.000027903687,0.16993093],"genre_scores_gemma":[0.95662457,0.03791133,0.002065246,0.00034414377,0.00023578838,0.000009956444,0.000026712405,0.000029962934,0.0027523057],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968822,0.00012039915,0.0015437587,0.00082114286,0.00007807645,0.00055441295],"domain_scores_gemma":[0.99783206,0.0006346484,0.0008306684,0.0005705041,0.000050310835,0.00008180157],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002196426,0.00035308325,0.0005752887,0.00075330224,0.00031691694,0.00056180154,0.0007910015,0.00032255947,0.0012249863],"category_scores_gemma":[0.0011481228,0.0003941926,0.00024810294,0.0007609584,0.00010556161,0.0009249021,0.00019711738,0.0006480342,0.00041003662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00096674863,0.00044179984,0.5271588,0.00012955042,0.0002232504,0.000037979888,0.010465499,0.051308967,0.000021530337,0.09042042,0.0029453447,0.31588015],"study_design_scores_gemma":[0.0009014808,0.00006651528,0.10752373,0.00018583953,0.000036730726,0.00000764092,0.00046661246,0.85962605,0.000003633594,0.021410232,0.009366114,0.00040540713],"about_ca_topic_score_codex":0.029050998,"about_ca_topic_score_gemma":0.013060316,"teacher_disagreement_score":0.80831707,"about_ca_system_score_codex":0.0010527085,"about_ca_system_score_gemma":0.0006662716,"threshold_uncertainty_score":0.999851},"labels":[],"label_agreement":null},{"id":"W4415932946","doi":"10.1080/10527001.2025.2515748","title":"North American Housing Market Returns Linkages: A Multi-Horizon Outlook","year":2025,"lang":"en","type":"article","venue":"Journal of Housing Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Real estate; House price; Residential real estate","score_opus":0.07992648193823713,"score_gpt":0.3319313774349521,"score_spread":0.25200489549671495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415932946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94598144,0.0009432117,0.003702652,0.0013777391,0.0010587727,0.00020368207,0.000017581133,0.000036678946,0.046678264],"genre_scores_gemma":[0.9894012,0.0021406792,0.0063617756,0.00014941076,0.00048451946,0.0000035691414,0.0000019673873,0.00006082848,0.0013960418],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99700165,0.00017158616,0.0014150973,0.00042212484,0.00016932494,0.00082019833],"domain_scores_gemma":[0.9975476,0.00045943403,0.0008938265,0.0004990401,0.0003830294,0.00021706792],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0055678915,0.00022810975,0.0008608954,0.0019394379,0.00043410168,0.00046451544,0.00069645303,0.0001228775,0.00011380552],"category_scores_gemma":[0.0012734924,0.00024805355,0.0002981554,0.0014464315,0.00036936018,0.00042306923,0.00023980658,0.0013187921,0.00008838994],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037377034,0.0005263637,0.9041288,0.00018629376,0.00036085903,0.00019429924,0.0009723377,0.0005189422,0.000080405385,0.0013423311,0.020890005,0.070425585],"study_design_scores_gemma":[0.00774777,0.0027338965,0.5839412,0.0013262308,0.0001227991,0.00012603939,0.0045562545,0.039718483,0.00060074695,0.017181022,0.3397634,0.0021821407],"about_ca_topic_score_codex":0.00034605968,"about_ca_topic_score_gemma":0.0008075955,"teacher_disagreement_score":0.3201876,"about_ca_system_score_codex":0.0007536093,"about_ca_system_score_gemma":0.0003227755,"threshold_uncertainty_score":0.9999972},"labels":[],"label_agreement":null},{"id":"W4416392173","doi":"10.1057/s41264-025-00336-5","title":"Correction to: Examining personal financial advisors’ knowledge, client recommendations, and personal investments in private real estateand real estate investment trusts (REITs)","year":2025,"lang":"en","type":"article","venue":"Journal of Financial Services Marketing","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Real estate; Real estate investment trust; Investment (military); Personal selling; Investment management; Financial services; Personal account","score_opus":0.01765437768960835,"score_gpt":0.25087388822107304,"score_spread":0.2332195105314647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416392173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9391953,0.00031584583,0.00007717685,0.00034171733,0.0030876165,0.00024261091,0.000025438778,0.000017189504,0.05669714],"genre_scores_gemma":[0.9798473,0.014366808,0.0032307748,0.0012042942,0.0005308062,0.00002626509,0.000025184347,0.000047426962,0.0007211307],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971743,0.00017163742,0.0015835669,0.00048334562,0.00008178833,0.0005053649],"domain_scores_gemma":[0.9981191,0.00035822557,0.0010854433,0.00013098102,0.00009852128,0.00020771059],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0039081885,0.0003047886,0.0006926655,0.0009034204,0.00029128094,0.00018008945,0.00025904516,0.00016380913,0.000049633913],"category_scores_gemma":[0.00066265377,0.00036788615,0.000117455005,0.0006000745,0.000050325056,0.0005641321,0.00019853901,0.0005021579,0.000015487614],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012839476,0.00034157338,0.7083845,0.0003881828,0.00005957581,0.000030577557,0.012829008,0.00015554077,0.000054564534,0.0017032467,0.0036187307,0.27115056],"study_design_scores_gemma":[0.0017458746,0.00022031782,0.9514439,0.0012859087,0.000022583847,0.000017365563,0.0008162447,0.010726341,0.00001541246,0.0012325236,0.03208967,0.00038385994],"about_ca_topic_score_codex":0.0007034855,"about_ca_topic_score_gemma":0.0016488873,"teacher_disagreement_score":0.2707667,"about_ca_system_score_codex":0.00066237844,"about_ca_system_score_gemma":0.00027410995,"threshold_uncertainty_score":0.99987733},"labels":[],"label_agreement":null},{"id":"W4416459518","doi":"10.1108/ijhma-09-2025-203","title":"Editorial","year":2025,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Distribution (mathematics); Descriptive statistics; Perspective (graphical); Public housing; Market research; Descriptive research","score_opus":0.009210248140647703,"score_gpt":0.23311366841137413,"score_spread":0.22390342027072643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416459518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56354094,0.0033649087,0.06403965,0.006303033,0.14774051,0.00008551989,0.000058246875,0.000035317717,0.2148319],"genre_scores_gemma":[0.98932546,0.0017510911,0.0009857077,0.00016245754,0.0073646754,4.108128e-7,0.0000029463374,0.0000069479406,0.0004002778],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990541,0.000014163575,0.00063226814,0.00013798628,0.000057598023,0.00010390621],"domain_scores_gemma":[0.9991555,0.00007789931,0.00047412908,0.00008906395,0.00015896649,0.0000444288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088427425,0.00008307366,0.0003508281,0.0013825683,0.00005562213,0.00021335795,0.00023714038,0.00006231603,0.00014920106],"category_scores_gemma":[0.00015298816,0.00008652034,0.00025148146,0.0003676915,0.000040830346,0.00021643344,0.000059028625,0.00011800797,0.000005709115],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052135123,0.00021785662,0.7874469,0.000024397888,0.0098635405,0.00003380729,0.00027017173,0.00092148146,0.000051246916,0.050268494,0.085152164,0.0652286],"study_design_scores_gemma":[0.001337762,0.000034961628,0.04216285,0.00006497312,0.00042870545,0.000009885966,0.00008780687,0.009495173,0.000023692106,0.03657389,0.90951,0.00027026774],"about_ca_topic_score_codex":0.0000509847,"about_ca_topic_score_gemma":0.00001670576,"teacher_disagreement_score":0.82435787,"about_ca_system_score_codex":0.0000844504,"about_ca_system_score_gemma":0.000030053918,"threshold_uncertainty_score":0.3528197},"labels":[],"label_agreement":null},{"id":"W4416581437","doi":"10.1111/1540-6229.70049","title":"The Downmarket Impact of New Multifamily Housing: Evidence from a Honolulu Condo Tower","year":2025,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Zoning; Tower; Track (disk drive); Affordable housing; Public housing","score_opus":0.03644200224930407,"score_gpt":0.26582685690489793,"score_spread":0.22938485465559386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416581437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8761479,0.0006310646,0.0005014436,0.00042337022,0.0010999405,0.00029300313,0.00025666834,0.000052151965,0.12059446],"genre_scores_gemma":[0.9224546,0.074164085,0.0010142504,0.00009208834,0.00016818971,0.000013984505,0.000030456647,0.000053209846,0.0020091229],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973419,0.000033349042,0.0013774965,0.0006528237,0.0000217252,0.0005727338],"domain_scores_gemma":[0.99707305,0.0009110656,0.00083271816,0.0009503791,0.00004774779,0.00018505479],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00095771434,0.0003425284,0.00081212755,0.0002281885,0.0002281995,0.00030281377,0.00071021664,0.00019729318,0.0002522598],"category_scores_gemma":[0.00032669076,0.00033462475,0.00045289192,0.00021776505,0.0002035569,0.00051367836,0.00021243232,0.00024548577,0.00019730725],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016293884,0.00020892291,0.5193357,0.000064162945,0.0014290089,0.000008284926,0.0028055008,0.012871731,0.00015649044,0.015474502,0.026886128,0.4191302],"study_design_scores_gemma":[0.0057488824,0.00047351507,0.49892077,0.0003993306,0.00015332563,0.0000061733203,0.000887316,0.15717983,0.0006215945,0.11433668,0.21896464,0.0023079386],"about_ca_topic_score_codex":0.031899676,"about_ca_topic_score_gemma":0.0024237186,"teacher_disagreement_score":0.41682225,"about_ca_system_score_codex":0.00067328755,"about_ca_system_score_gemma":0.00049224816,"threshold_uncertainty_score":0.9999106},"labels":[],"label_agreement":null},{"id":"W4416972184","doi":"10.1016/j.enbuild.2025.116812","title":"Regional and temporal differences in residential occupancy patterns: A TUS-based analysis","year":2025,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"National Natural Science Foundation of China; Anhui Provincial Department of Housing and Urban-Rural Development","keywords":"Occupancy; Duration (music); Cluster (spacecraft); Household income; Population","score_opus":0.018121062299327025,"score_gpt":0.21491107049615532,"score_spread":0.1967900081968283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416972184","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99044025,0.00093082775,0.0040274095,0.0006980354,0.00010392526,0.000025686973,0.00001330857,0.00001543659,0.0037451098],"genre_scores_gemma":[0.9980973,0.000758214,0.00027042633,0.0003439395,0.000035138204,0.000008571447,0.000013691134,0.0000054324573,0.00046730967],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910563,0.000011784064,0.00033849018,0.00035434373,0.000016011454,0.00017375375],"domain_scores_gemma":[0.9996575,0.000058966052,0.000115917064,0.00011876724,0.000007351501,0.000041456817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002404013,0.00011380325,0.00035026096,0.0006191656,0.00008365859,0.00010617494,0.000091060036,0.000090213995,0.000081578335],"category_scores_gemma":[0.00002288444,0.0001281123,0.000067811365,0.0003315814,0.0000586915,0.000123918,0.00004784579,0.00006317697,9.876412e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003789637,0.00002329785,0.94536966,0.000014371958,0.000072680115,0.000002596633,0.00004820756,0.000022196138,0.0000023083778,0.05216228,0.00022090529,0.0020236159],"study_design_scores_gemma":[0.0008605004,0.000032494834,0.93589866,0.000056535813,0.00004440969,8.6211895e-7,0.00006477875,0.014736886,0.00004130042,0.03144841,0.016511425,0.00030374882],"about_ca_topic_score_codex":0.0034843355,"about_ca_topic_score_gemma":0.0025240097,"teacher_disagreement_score":0.020713868,"about_ca_system_score_codex":0.000028914385,"about_ca_system_score_gemma":0.000016196407,"threshold_uncertainty_score":0.52672964},"labels":[],"label_agreement":null},{"id":"W4417150199","doi":"10.2139/ssrn.5828182","title":"Expected Liquidation Values&amp;nbsp;","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Collateral; Real estate; Measure (data warehouse); Property market; Stock (firearms); Property (philosophy); Default risk","score_opus":0.022229664206911,"score_gpt":0.24108368006719658,"score_spread":0.21885401586028558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417150199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4366174,0.035079166,0.19533953,0.0046960143,0.021677501,0.0016592671,0.00039210258,0.0002743771,0.30426463],"genre_scores_gemma":[0.6325582,0.30204925,0.0011843697,0.00036367177,0.0031752482,0.000060472088,0.0002990192,0.0001804362,0.0601293],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9877931,0.00024027521,0.0036424815,0.0017550195,0.00015348975,0.006415642],"domain_scores_gemma":[0.99427956,0.0002095665,0.0034142914,0.0014493234,0.00029297423,0.00035430648],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.008896679,0.0011154811,0.002054941,0.0017445899,0.0010723403,0.0010315462,0.0018721453,0.0013916574,0.001326625],"category_scores_gemma":[0.00063830096,0.0015345518,0.0012968342,0.00068208703,0.00018274353,0.0007028735,0.0008298022,0.010505613,0.0017016409],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0009792923,0.00094099663,0.016069999,0.0003851107,0.004543838,0.000008746166,0.0029856765,0.007412104,0.000019672614,0.8585829,0.00277783,0.105293795],"study_design_scores_gemma":[0.0018533707,0.00030459426,0.00068154495,0.0002938238,0.00020209093,0.00018077691,0.0010310723,0.0044614607,0.000017390032,0.9027458,0.08651449,0.0017136188],"about_ca_topic_score_codex":0.00048429632,"about_ca_topic_score_gemma":0.0016124928,"teacher_disagreement_score":0.26697007,"about_ca_system_score_codex":0.011006829,"about_ca_system_score_gemma":0.008041734,"threshold_uncertainty_score":0.99990475},"labels":[],"label_agreement":null},{"id":"W4417499359","doi":"10.61173/84k5bh56","title":"The Impact of the 2010 Housing Purchase Restriction on Commercial Housing Prices in Beijing: A Difference-in-Differences Analysis","year":2025,"lang":"","type":"article","venue":"Finance & Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Beijing; Control (management); Payment; Housing industry; Quarter (Canadian coin); Public housing","score_opus":0.031206531632877493,"score_gpt":0.2563859259473717,"score_spread":0.2251793943144942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417499359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98624325,0.0013699011,0.000301702,0.0009915128,0.0028846876,0.0007591266,0.000257599,0.000016818007,0.0071754055],"genre_scores_gemma":[0.9749102,0.024405565,0.0000941609,0.00009097577,0.00015080228,0.000047203528,0.000012586649,0.00004775941,0.00024074789],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9945511,0.0001332549,0.0029260935,0.0011869798,0.000059822753,0.0011427334],"domain_scores_gemma":[0.9950463,0.00084679865,0.002462887,0.0015044524,0.000058665264,0.00008086036],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018709397,0.00068085914,0.0019265324,0.001730582,0.0008250743,0.0005775505,0.0014616847,0.0005295628,0.000035859517],"category_scores_gemma":[0.00037803312,0.00061431446,0.0011206055,0.002923497,0.00053770933,0.0004209298,0.00041755746,0.0010621407,0.000019213627],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037083752,0.00038347393,0.8913311,0.000036327507,0.00036507964,0.0000019178653,0.0006198358,0.06893202,0.0000022612064,0.016652998,0.00007596764,0.021228202],"study_design_scores_gemma":[0.0010824341,0.00013819609,0.85851026,0.00022798906,0.00010164932,4.1501428e-7,0.00022741074,0.13046455,0.000017236594,0.008127664,0.0006025845,0.00049959146],"about_ca_topic_score_codex":0.0070150383,"about_ca_topic_score_gemma":0.022921966,"teacher_disagreement_score":0.061532535,"about_ca_system_score_codex":0.0021542676,"about_ca_system_score_gemma":0.0006029505,"threshold_uncertainty_score":0.9996308},"labels":[],"label_agreement":null},{"id":"W46292476","doi":"10.1080/10835547.2016.12092119","title":"Cross-Country Evidence on the Causal Relationship between Policy Uncertainty and Housing Prices","year":2016,"lang":"en","type":"article","venue":"Journal of Housing Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Causality (physics); Volatility (finance); Monetary policy; Panel data; Macroeconomics; Monetary economics; Econometrics","score_opus":0.2557655270027749,"score_gpt":0.3988192195812807,"score_spread":0.1430536925785058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W46292476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850956,0.00058196904,0.0004215107,0.008021419,0.00019246036,0.00010930196,0.000014757306,0.000010845467,0.005552141],"genre_scores_gemma":[0.99757797,0.0008358556,0.00017066125,0.00009672657,0.0010923427,0.0000017559731,2.831592e-7,0.000030510539,0.00019390068],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981813,0.000120486904,0.0007791237,0.00025507508,0.00017855379,0.00048546126],"domain_scores_gemma":[0.9933943,0.005364992,0.0005754191,0.00032149765,0.00020050113,0.00014328226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009209575,0.00013124023,0.00033606557,0.0007217649,0.000642125,0.0005415162,0.0004161271,0.00012653947,0.000060983723],"category_scores_gemma":[0.008078868,0.00008645335,0.00008504077,0.00049514795,0.00044324232,0.0007088851,0.00013463861,0.00060547754,0.00007992469],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000100776284,0.000021439184,0.96065456,0.000024340214,0.00003086241,0.000009053534,0.00027974363,0.00008601802,0.000057837908,0.032539662,0.00042291378,0.0057728146],"study_design_scores_gemma":[0.0007219311,0.0003637513,0.8768941,0.00073593686,0.000009933032,0.00002850078,0.0001536159,0.00018306878,0.00015220667,0.11164418,0.008829549,0.00028323598],"about_ca_topic_score_codex":0.00033889417,"about_ca_topic_score_gemma":0.000039435377,"teacher_disagreement_score":0.08376045,"about_ca_system_score_codex":0.0005873036,"about_ca_system_score_gemma":0.00024836496,"threshold_uncertainty_score":0.9671743},"labels":[],"label_agreement":null},{"id":"W56298941","doi":"10.1016/b978-0-08-047163-1.00137-5","title":"Credit Derivatives and the Housing Market","year":2012,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Restructuring; Financial system; Business; Secondary mortgage market; Finance; Secondary market; Shared appreciation mortgage; Mortgage underwriting; Mortgage insurance","score_opus":0.024454319413484145,"score_gpt":0.19980573345328004,"score_spread":0.1753514140397959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W56298941","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00022557209,0.010133969,0.000023198341,0.00025338546,0.0008062367,0.00038890677,0.00006839846,0.000047699865,0.9880526],"genre_scores_gemma":[0.013624233,0.0044868463,0.0003804071,0.00050461973,0.0011232872,0.000026095184,0.000010664292,0.0001504011,0.9796935],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983343,0.000019873656,0.00074396067,0.0004742528,0.00003694935,0.00039068863],"domain_scores_gemma":[0.9984241,0.00020666441,0.00067448796,0.0005544035,0.000021839822,0.00011848237],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012499222,0.00040714358,0.0009029694,0.00017555032,0.0002514742,0.00018554796,0.0002879841,0.00032316774,0.0013350198],"category_scores_gemma":[0.00005680192,0.00036961827,0.00024347956,0.000010953281,0.0005428291,0.000121109646,0.00023376814,0.00043492756,0.00039593378],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005409434,0.0000041843305,0.00026157853,0.000056568588,0.00015062533,0.0000022929814,0.00052273856,2.506051e-7,1.4341111e-7,0.22987334,0.0006432209,0.76843095],"study_design_scores_gemma":[0.0005373617,0.0000099863355,0.00016368991,0.000068548994,0.00003674758,0.000007868208,0.000010915975,0.00006937926,8.179507e-7,0.14618675,0.85250825,0.00039969172],"about_ca_topic_score_codex":0.0000029699943,"about_ca_topic_score_gemma":0.000017202363,"teacher_disagreement_score":0.851865,"about_ca_system_score_codex":0.00009622187,"about_ca_system_score_gemma":0.00002618926,"threshold_uncertainty_score":0.9998756},"labels":[],"label_agreement":null},{"id":"W581623390","doi":"","title":"ASSESSING THE EFFECT OF ACCESSIBILITY TO AMENITIES IN THE LOCATION RENT SEARCHING FOR MARKET SEGMENTATION OF PREFERENCES","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Amenity; Centrality; Econometrics; Hedonic regression; Valuation (finance); Metropolitan area; Spatial analysis; Ordinary least squares; Market segmentation; Willingness to pay; Quantile regression; Geography; Economics; Statistics; Microeconomics; Mathematics","score_opus":0.07473634144522266,"score_gpt":0.36934993314725745,"score_spread":0.29461359170203477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W581623390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95577407,0.00007980654,0.00013906698,0.00031626743,0.00038994674,0.0021303848,0.00009538186,0.000006771992,0.04106828],"genre_scores_gemma":[0.9973297,0.00093403325,0.0008048402,0.000025840174,0.00010455402,0.0006596811,0.000045329947,0.0000311718,0.000064855696],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9968436,0.00049996254,0.0014001688,0.0006863957,0.00009263877,0.00047726723],"domain_scores_gemma":[0.99489594,0.003269724,0.00075438444,0.00094161043,0.00008630495,0.00005205048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016808785,0.00023649629,0.0007303172,0.00063263136,0.00015621443,0.00036367585,0.001133691,0.0002790468,0.00004718682],"category_scores_gemma":[0.0017499665,0.00019400475,0.00016846349,0.00022206584,0.00029816077,0.00028237377,0.00049907464,0.0010739891,0.0000018255491],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006367472,0.00024146418,0.43436643,0.002716685,0.0001342243,8.9139775e-7,0.008119468,0.02314483,0.00018639393,0.0017200893,0.00007098461,0.5286618],"study_design_scores_gemma":[0.0029599136,0.001196364,0.72650087,0.0014574883,0.000046676065,0.000003892792,0.012212724,0.16900066,0.0043426272,0.07755402,0.0033598344,0.0013649336],"about_ca_topic_score_codex":0.0005668081,"about_ca_topic_score_gemma":0.0011663026,"teacher_disagreement_score":0.52729684,"about_ca_system_score_codex":0.0004877405,"about_ca_system_score_gemma":0.00021997743,"threshold_uncertainty_score":0.7911284},"labels":[],"label_agreement":null},{"id":"W588288924","doi":"","title":"THE CONTRIBUTION OF REGION-SPECIFIC SHOCKS TO AGGREGATE FLUCTUATIONS: EVIDENCE FROM THE LOCAL HOUSING MARKETS IN CANADA","year":2011,"lang":"en","type":"article","venue":"Library and Archives Canada (Government of Canada)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Economics; Aggregate (composite); Productivity; House price; Monetary economics; Demographic economics; Labour economics; Macroeconomics","score_opus":0.01432843830432019,"score_gpt":0.143027182266404,"score_spread":0.12869874396208383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W588288924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9435232,0.0027502861,0.0016550488,0.005917761,0.0005433988,0.00031000908,0.0001783279,0.0000041442663,0.045117818],"genre_scores_gemma":[0.99709255,0.0019883842,0.00018362973,0.00053471135,0.00003201889,0.0000078527355,0.0000030148458,0.000011943672,0.00014590731],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99875104,0.000045065488,0.0005354266,0.0002235635,0.00018485446,0.00026002628],"domain_scores_gemma":[0.9985647,0.0007329857,0.00030699157,0.00028294313,0.0000012512863,0.00011108868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006681293,0.0001233131,0.00024719595,0.000020367954,0.00018930802,0.000024296682,0.0003261024,0.000019889247,0.000032388216],"category_scores_gemma":[0.00002801159,0.00010587757,0.000024134955,0.00010597339,0.00008466185,0.00024584736,0.000108578,0.00010721807,1.3175484e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001091801,0.000019390523,0.83312184,0.000024890309,0.00008599517,0.000038264556,0.00059166324,0.0004676263,0.00015958294,0.11964484,0.00267388,0.04208022],"study_design_scores_gemma":[0.00035796006,0.000030175463,0.9443911,0.00024392953,0.0000070645247,0.0000020850937,0.0029502893,0.00691956,0.004812458,0.010506605,0.029489014,0.0002898173],"about_ca_topic_score_codex":0.81596345,"about_ca_topic_score_gemma":0.9836508,"teacher_disagreement_score":0.16768736,"about_ca_system_score_codex":0.00008218773,"about_ca_system_score_gemma":0.0013407985,"threshold_uncertainty_score":0.4317562},"labels":[],"label_agreement":null},{"id":"W593538977","doi":"","title":"COST OF HOME OWNERSHIP: EVIDENCE FROM GREAT VANCOUVER","year":2013,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Economics","score_opus":0.038203552195195695,"score_gpt":0.19521996021854338,"score_spread":0.15701640802334768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W593538977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94010717,0.00020563694,0.00136482,0.0001873656,0.0007449212,0.00025177072,0.00013314655,0.000057073812,0.056948088],"genre_scores_gemma":[0.99420786,0.00055562844,0.0005305799,0.00008225381,0.00007401512,0.0000014059003,0.000015761572,0.000023285244,0.004509202],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99886847,0.000022986533,0.00033932418,0.00042949244,0.000035465735,0.00030429385],"domain_scores_gemma":[0.99887097,0.00015686276,0.0003077291,0.00046293123,0.000054989032,0.0001465268],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00015937914,0.00017578006,0.00041671758,0.00036553724,0.00008662507,0.00005003059,0.00047939594,0.0001539335,0.003921385],"category_scores_gemma":[0.00006132064,0.000219763,0.00015529554,0.00037035265,0.000114775714,0.0009946701,0.00012834676,0.00015012822,0.001405129],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004047744,0.00003817525,0.96196336,0.000017181605,0.000055096843,0.000009676609,0.000039446648,0.00011779122,0.0000026370692,0.0016112814,0.03390817,0.002196722],"study_design_scores_gemma":[0.0035351145,0.00022657822,0.114076,0.00026602845,0.00010061824,6.5610584e-9,0.013080617,0.0066456976,0.001156079,0.024551535,0.8344901,0.0018716026],"about_ca_topic_score_codex":0.0048026717,"about_ca_topic_score_gemma":0.041799374,"teacher_disagreement_score":0.84788734,"about_ca_system_score_codex":0.0002174713,"about_ca_system_score_gemma":0.00002954496,"threshold_uncertainty_score":0.99937236},"labels":[],"label_agreement":null},{"id":"W596025831","doi":"","title":"Beyond TOD: Establishing Upper Bounds of Transit-Supportive Neighborhoods","year":2014,"lang":"en","type":"article","venue":"Transportation Research Board 93rd Annual MeetingTransportation Research Board","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transit-oriented development; Quarter (Canadian coin); Transit (satellite); Mile; Transport engineering; Geography; Single family; Core (optical fiber); Last mile (transportation); Rail transit; Business; Public transport; Engineering; Telecommunications; Finance","score_opus":0.04790461096944628,"score_gpt":0.3184318894307615,"score_spread":0.27052727846131525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W596025831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8914975,0.0002607706,0.007575609,0.002125412,0.00051198434,0.0012126227,0.0008869011,0.00018665948,0.09574254],"genre_scores_gemma":[0.9934941,0.0006298706,0.0032376877,0.00013289554,0.00036074218,0.0002154183,0.000541874,0.00016930503,0.001218139],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9916506,0.00065342966,0.0028026553,0.0015817888,0.0012203688,0.002091156],"domain_scores_gemma":[0.99405843,0.0015600665,0.00067160686,0.00095582654,0.0020283645,0.00072570605],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.014841912,0.0005236982,0.0012319647,0.0023638825,0.00089250685,0.00038014233,0.0011209134,0.0005437016,0.0013941498],"category_scores_gemma":[0.0010041114,0.0006316395,0.0004961681,0.0024208145,0.0011310752,0.0018102163,0.000025196608,0.0018383176,0.00035183207],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015469693,0.0009519084,0.46262127,0.0012666872,0.00035467668,0.000060688384,0.02947765,0.0026452318,0.0022175552,0.47650793,0.0072787674,0.015070683],"study_design_scores_gemma":[0.0047509763,0.0018929763,0.7140572,0.00043761043,0.00006558677,0.0000012740854,0.0122808805,0.0036885282,0.004469504,0.14184926,0.114718065,0.0017880995],"about_ca_topic_score_codex":0.010533272,"about_ca_topic_score_gemma":0.0070356703,"teacher_disagreement_score":0.33465865,"about_ca_system_score_codex":0.00029444366,"about_ca_system_score_gemma":0.00035858632,"threshold_uncertainty_score":0.99961346},"labels":[],"label_agreement":null},{"id":"W599983979","doi":"","title":"Consumption Dynamics During the Great Recession","year":2012,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Booth University College","funders":"","keywords":"Business cycle; Durable good; Microdata (statistics); Economics; Recession; Great recession; Econometrics; Consumption (sociology); Microeconomics; Macroeconomics; Labour economics","score_opus":0.042555369532356724,"score_gpt":0.231577354928555,"score_spread":0.18902198539619827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W599983979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7285489,0.0010921453,0.0023963642,0.00075459736,0.0036896234,0.00034973235,0.00014905723,0.0001441375,0.26287547],"genre_scores_gemma":[0.98743784,0.0040795007,0.0005300029,0.00011034733,0.0005092163,0.000042961245,0.000120320714,0.00006031535,0.00710952],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983315,0.00002357007,0.0007138409,0.00050142215,0.000026085863,0.00040356637],"domain_scores_gemma":[0.9984517,0.00005447951,0.0005784884,0.0008053841,0.000017493217,0.00009246499],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008103174,0.00028055924,0.00047188642,0.0001620499,0.0002422842,0.00022836159,0.00045430844,0.0004183818,0.002524188],"category_scores_gemma":[0.00004209334,0.00025089027,0.00020459363,0.000056382687,0.00007949323,0.00017825438,0.0006898729,0.0005978972,0.0021743989],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005756425,0.000089257206,0.88060254,0.0005744107,0.00016149656,0.000002432226,0.0005399056,0.00078860705,0.0000043721334,0.10454109,0.0018816937,0.0107566],"study_design_scores_gemma":[0.0017595658,0.000032475422,0.58861476,0.00039733268,0.00011132237,0.000053816846,0.00021912798,0.1304722,0.00012722333,0.17557473,0.0990568,0.0035806682],"about_ca_topic_score_codex":0.0003173438,"about_ca_topic_score_gemma":0.00025839472,"teacher_disagreement_score":0.29198784,"about_ca_system_score_codex":0.0005557166,"about_ca_system_score_gemma":0.000017908993,"threshold_uncertainty_score":0.99999434},"labels":[],"label_agreement":null},{"id":"W607256470","doi":"","title":"Size and Calender Anomalies: The Case of International Property Shares","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate investment trust; Real estate; Market liquidity; Financial economics; Order (exchange); Maturity (psychological); Mainstream; Financial market; Economics; Share price; Asset (computer security); Business; Monetary economics; Finance; Stock exchange","score_opus":0.05767280554178302,"score_gpt":0.3001414398830115,"score_spread":0.24246863434122848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W607256470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58857316,0.0006493465,0.000008701572,0.00081436493,0.0008353947,0.00059222383,0.0004324679,0.00002083403,0.4080735],"genre_scores_gemma":[0.972445,0.02356589,0.0005874893,0.00012553192,0.00030562686,0.000089158144,0.000028444934,0.00007151925,0.002781339],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99695265,0.000078790225,0.0013246386,0.00095693907,0.000051017374,0.0006359738],"domain_scores_gemma":[0.99737847,0.00090164464,0.000542888,0.00094480085,0.00009109751,0.00014108374],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0042338315,0.00031399992,0.00073457276,0.0005660864,0.00017323856,0.00022838578,0.000823079,0.00046056582,0.00047285782],"category_scores_gemma":[0.0009962473,0.0002720247,0.00018894153,0.00011076063,0.0006180718,0.00016654907,0.0014752751,0.001236506,0.000018533296],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065762247,0.00070360646,0.221694,0.0011178965,0.001035023,0.0009565755,0.0057409243,0.0046465048,0.000025852592,0.029319374,0.00093535177,0.7331673],"study_design_scores_gemma":[0.0050051897,0.00043933737,0.10138004,0.00081247545,0.00004982358,0.0013889206,0.009146367,0.1221042,0.00018005456,0.09868071,0.6570746,0.0037383216],"about_ca_topic_score_codex":0.0013250179,"about_ca_topic_score_gemma":0.0015902807,"teacher_disagreement_score":0.72942895,"about_ca_system_score_codex":0.00060751074,"about_ca_system_score_gemma":0.00017670883,"threshold_uncertainty_score":0.9999732},"labels":[],"label_agreement":null},{"id":"W611013169","doi":"10.30541/v50i4ipp.285-294","title":"Household Balance Sheets, Aggregate Demand and Unemployment (The Quaid-i-Azam Lecture)","year":2011,"lang":"en","type":"article","venue":"The Pakistan Development Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Booth University College","funders":"","keywords":"Deleveraging; Economics; Unemployment; Debt; Aggregate demand; Monetary economics; Household debt; Recession; Bust; Pace; Great recession; Macroeconomics; Labour economics; Monetary policy; Boom","score_opus":0.05362654386477326,"score_gpt":0.2328368736921755,"score_spread":0.17921032982740226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W611013169","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1608168,0.48002958,0.0052979686,0.0049866834,0.00089865155,0.0025170757,0.000041037554,0.00025878524,0.34515342],"genre_scores_gemma":[0.6800828,0.31428722,0.0016438356,0.0029699232,0.00006106577,0.00012615479,0.000008514111,0.00005878374,0.00076169544],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983523,0.000065326225,0.0008217596,0.00037377464,0.000042461972,0.00034436173],"domain_scores_gemma":[0.9988871,0.00009279446,0.00040234457,0.00052039674,0.000014190519,0.00008314869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023765839,0.0002461303,0.00049705175,0.000045869954,0.0003016745,0.00009659004,0.00043499138,0.000058521287,0.0003934615],"category_scores_gemma":[0.00004782701,0.00016736847,0.00008671316,0.00017435962,0.00014056277,0.00009565727,0.00014077511,0.00017429733,0.00027381987],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015040864,0.00048784527,0.14561675,0.0058844886,0.0011972326,0.00005401683,0.018645927,0.000043908833,0.00001368734,0.20684189,0.032035016,0.58902884],"study_design_scores_gemma":[0.00026484302,0.00001883461,0.020243129,0.0006658442,0.00003279139,0.000026337488,0.000025411284,0.000060332182,0.000053667452,0.0064944155,0.97169864,0.00041577837],"about_ca_topic_score_codex":0.00005222693,"about_ca_topic_score_gemma":0.00003843613,"teacher_disagreement_score":0.9396636,"about_ca_system_score_codex":0.00010324025,"about_ca_system_score_gemma":0.00004825781,"threshold_uncertainty_score":0.6825088},"labels":[],"label_agreement":null},{"id":"W611786634","doi":"","title":"Modelling Non-residential Real Estate Prices and Land Use Development in Windsor with Potential Impacts from the Windsor-Essex Parkway","year":2013,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Windsor; Real estate; Geography; Estate; Engineering; Archaeology; Environmental planning; Civil engineering; Business; Environmental science; Finance","score_opus":0.024718462359607934,"score_gpt":0.1808861941972488,"score_spread":0.15616773183764088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W611786634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952292,0.000096456,0.0008335115,0.0004170462,0.00015160041,0.0004814537,0.000088177425,0.000036325524,0.0026662163],"genre_scores_gemma":[0.99444246,0.00083607883,0.004085938,0.000055462846,0.000079438665,0.0000025816155,0.00006600167,0.0000496293,0.00038243513],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977891,0.000070726834,0.0005656142,0.0007741376,0.00014491954,0.00065554306],"domain_scores_gemma":[0.9983372,0.00019873453,0.0006053215,0.0005149854,0.00008517073,0.00025858355],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00091508334,0.00036794555,0.0006562824,0.00036622913,0.0005569935,0.0003693398,0.00061387126,0.0002782125,0.00039136983],"category_scores_gemma":[0.00004196218,0.00038267812,0.000117891475,0.0003388628,0.00025463084,0.0024061403,0.00033886574,0.0004937328,0.00021645972],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004128293,0.00010253661,0.98549086,0.000041354822,0.00017463349,0.000032452313,0.0064751897,0.0056673177,0.00021672143,0.00008289445,0.00009266035,0.0012105446],"study_design_scores_gemma":[0.0024132268,0.00007389127,0.9838424,0.000111158384,0.00003919196,0.000007725457,0.0009959426,0.009899619,0.00013313907,0.00074284745,0.0011790746,0.00056180113],"about_ca_topic_score_codex":0.02062876,"about_ca_topic_score_gemma":0.006589888,"teacher_disagreement_score":0.014038872,"about_ca_system_score_codex":0.00021778095,"about_ca_system_score_gemma":0.00012082211,"threshold_uncertainty_score":0.9998625},"labels":[],"label_agreement":null},{"id":"W617465926","doi":"","title":"Regions, land consumption and sustainable growth : assessing the impact of the public and private sectors","year":2005,"lang":"en","type":"book","venue":"E. Elgar eBooks","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Urban sprawl; Metropolitan area; Deregulation; Public land; Business; Land use; Public infrastructure; Index (typography); Portfolio; Consumption (sociology); Natural resource economics; Agricultural economics; Economic geography; Geography; Economics; Finance; Market economy; Political science","score_opus":0.027103784168365713,"score_gpt":0.23050619321160384,"score_spread":0.20340240904323814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W617465926","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32312733,0.0021874197,0.00005378462,0.00029927396,0.00020623695,0.0005227319,0.0000496879,0.00003133159,0.67352223],"genre_scores_gemma":[0.7257146,0.0015688199,0.00006723034,0.00008941402,0.000285127,0.000014618759,0.000017463693,0.00008349093,0.27215922],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99872035,0.00003712631,0.0004906853,0.0003468033,0.000032775708,0.00037228703],"domain_scores_gemma":[0.99864036,0.00012075307,0.00069892535,0.00042620194,0.000039359275,0.00007437993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092001783,0.00025849248,0.00047669938,0.00019251769,0.00035728439,0.00035757307,0.0002501657,0.00025289413,0.000067615736],"category_scores_gemma":[0.00009269294,0.00018829963,0.00016308142,0.00003455001,0.00032074572,0.00017890584,0.00024029301,0.00035559753,0.000013515007],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000285576,0.00003777475,0.39292157,0.0005268973,0.00047047593,0.0000069107427,0.0009780967,0.000009494053,0.0000036154702,0.5817483,0.01736766,0.005900603],"study_design_scores_gemma":[0.0013791533,0.00011165254,0.16128886,0.00026207912,0.000098532786,0.00008994276,0.000101739024,0.0009064653,0.000014225422,0.29517138,0.5394929,0.0010830661],"about_ca_topic_score_codex":0.00016861735,"about_ca_topic_score_gemma":0.000051703708,"teacher_disagreement_score":0.52212524,"about_ca_system_score_codex":0.00031058464,"about_ca_system_score_gemma":0.00018212383,"threshold_uncertainty_score":0.76786363},"labels":[],"label_agreement":null},{"id":"W623231996","doi":"10.1007/978-1-4419-8642-9","title":"A Global Perspective on Real Estate Cycles","year":2001,"lang":"en","type":"book","venue":"New York University Salomon Center series on financial markets and institutions","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University; Yale University","keywords":"Perspective (graphical); Real estate; Business; Economics; Computer science; Finance; Artificial intelligence","score_opus":0.029154094445118555,"score_gpt":0.21210889488945,"score_spread":0.18295480044433146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W623231996","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0057655927,0.00008016507,0.00013174862,0.0007917201,0.00134612,0.0003069323,0.0022662582,0.00011535393,0.9891961],"genre_scores_gemma":[0.034197845,0.06177668,0.00049982767,0.00085736735,0.0014407537,0.0000036144922,0.0006370934,0.00010337764,0.9004834],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981897,0.000025493971,0.00038895654,0.0008696604,0.000062413295,0.0004638143],"domain_scores_gemma":[0.998852,0.000034677436,0.0003648644,0.00042317278,0.000046654804,0.0002785967],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013834932,0.00047956427,0.00068616285,0.00037674114,0.0006546866,0.00014741257,0.00034542583,0.00047750009,0.00021337281],"category_scores_gemma":[0.0000580092,0.0006336931,0.00026114835,0.00021096115,0.00037765258,0.00039782407,0.00015602543,0.00039607158,0.00026045938],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010773791,0.0001544036,0.0025509177,0.000025035612,0.00008104791,0.00012534062,0.00042555315,0.000034266253,3.241916e-8,0.87556064,0.10911284,0.01085252],"study_design_scores_gemma":[0.001109579,0.0002830653,0.011284895,0.00015176598,0.000028618115,0.00001891399,0.0002063624,0.000017350707,1.4270712e-7,0.017772425,0.9685309,0.0005959951],"about_ca_topic_score_codex":0.0021782406,"about_ca_topic_score_gemma":0.005495934,"teacher_disagreement_score":0.85941803,"about_ca_system_score_codex":0.0025017497,"about_ca_system_score_gemma":0.0006487247,"threshold_uncertainty_score":0.99961144},"labels":[],"label_agreement":null},{"id":"W632116734","doi":"","title":"The costs of infill versus greenfield development: a review of recent literature","year":2006,"lang":"en","type":"review","venue":"Transport Research Forum","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Infill; Greenfield project; Urban sprawl; Sewerage; Redevelopment; Environmental planning; Business; Greenhouse gas; Natural resource economics; Urban planning; Transport engineering; Engineering; Geography; Civil engineering; Economics; Environmental engineering","score_opus":0.16779461066333914,"score_gpt":0.36724717347612523,"score_spread":0.1994525628127861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W632116734","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000005609127,0.89259034,0.000013759827,0.00023621575,0.0003477284,0.0009041498,0.00031734927,0.000011110363,0.10557374],"genre_scores_gemma":[0.000028164459,0.99817353,0.00012775832,0.000019508027,0.00006348558,0.000100141006,0.00055970415,0.000054496515,0.00087319687],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962872,0.00008415027,0.0022654482,0.0004748675,0.00015872206,0.00072960637],"domain_scores_gemma":[0.99749815,0.00048748474,0.0008715014,0.0008041427,0.00023336758,0.000105353676],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0041982266,0.00032623252,0.0019691288,0.0004214568,0.00019374842,0.00003616137,0.0009051841,0.0003802126,0.000338002],"category_scores_gemma":[0.00020267277,0.00026331254,0.0005685867,0.0010348355,0.00022616897,0.00010743174,0.000078874036,0.0008635368,0.0001011014],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051704566,0.00006264381,0.00012754195,0.060361065,0.00019360424,0.0000063109514,0.000047676527,1.7816521e-7,8.70405e-9,0.014732113,0.006098285,0.91831887],"study_design_scores_gemma":[0.0002146756,0.000064875596,0.000016565244,0.034306105,0.00003211848,0.000001919248,0.000007784531,0.0000010115692,0.000001132493,0.00034321114,0.96477926,0.00023135192],"about_ca_topic_score_codex":0.00016550932,"about_ca_topic_score_gemma":0.00042263675,"teacher_disagreement_score":0.958681,"about_ca_system_score_codex":0.00030061233,"about_ca_system_score_gemma":0.00047530196,"threshold_uncertainty_score":0.9999819},"labels":[],"label_agreement":null},{"id":"W6887066364","doi":"10.15468/dl.pjgvkk","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","score_opus":0.018125117768527387,"score_gpt":0.19588854593327143,"score_spread":0.17776342816474405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6887066364","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016729231,0.00004991608,0.000018513463,0.00019503964,0.0014242083,0.0002215086,0.9867521,0.00006481845,0.0111066],"genre_scores_gemma":[0.000022060962,0.0004203536,0.0000027127646,0.0006260202,0.0000024660078,0.0000036568288,0.9989217,1.32110385e-8,0.0000010279149],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985426,0.000015818354,0.00075089827,0.00031745358,0.000051865423,0.0003213556],"domain_scores_gemma":[0.9986079,0.00001988226,0.00056521944,0.00061739347,0.00007495537,0.00011465676],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00043468268,0.00027434697,0.00049582834,0.0002021053,0.00024450046,0.00024152391,0.0005879158,0.0004301741,0.00254489],"category_scores_gemma":[0.00020487809,0.00036511384,0.00021418481,0.00028615326,0.000110575435,0.00085814524,0.00033609118,0.00026882152,0.13237797],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026645745,0.00002913141,0.003699971,0.0001743585,0.000039116025,6.6526434e-7,0.00002243875,0.0000121598605,6.822609e-10,0.00000818899,0.9949446,0.0010427553],"study_design_scores_gemma":[0.00030414364,0.0000147012,0.0000688215,0.0000028533307,0.000015277026,9.577201e-7,0.000030109473,0.0000011665604,1.9040738e-7,0.000036328962,0.99919105,0.00033437985],"about_ca_topic_score_codex":0.0008955031,"about_ca_topic_score_gemma":0.000022897872,"teacher_disagreement_score":0.12983307,"about_ca_system_score_codex":0.0005443798,"about_ca_system_score_gemma":0.000101798025,"threshold_uncertainty_score":0.9998801},"labels":[],"label_agreement":null},{"id":"W6887259772","doi":"10.15468/dl.v27zbg","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Listing (finance); Range (aeronautics); Order (exchange)","score_opus":0.02266586591979547,"score_gpt":0.1924883998797635,"score_spread":0.16982253395996802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6887259772","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00039260063,0.000045701054,0.00000537191,0.00014650356,0.0015204172,0.00022593845,0.9927291,0.00006828443,0.004866052],"genre_scores_gemma":[0.000024297055,0.00034743574,0.0000013612614,0.0005367491,0.0000022698102,0.0000070722417,0.99908036,3.2279722e-8,4.2793175e-7],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984965,0.000023719715,0.00073424506,0.000328317,0.000077945224,0.00033931638],"domain_scores_gemma":[0.9985102,0.000016977136,0.0007090254,0.00058677664,0.00004369851,0.0001333266],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005992217,0.00026626492,0.00046075793,0.00017709855,0.00041878593,0.0002085696,0.00065118086,0.00026708352,0.123698585],"category_scores_gemma":[0.00013395447,0.0003710695,0.00022194997,0.0002691359,0.00010363449,0.0009284958,0.00050236343,0.00035794917,0.24835548],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031968342,0.00003699019,0.0036933317,0.00008580397,0.00003323407,0.0000013369693,0.000044545173,0.00003270796,7.997689e-10,0.000004806071,0.9953527,0.0006825998],"study_design_scores_gemma":[0.00029957775,0.000028941462,0.00007737572,5.410071e-7,0.0000118985445,0.000002962419,0.00007407812,7.8673014e-7,7.318118e-8,0.000029807545,0.99909323,0.00038069513],"about_ca_topic_score_codex":0.0010814405,"about_ca_topic_score_gemma":0.000017905513,"teacher_disagreement_score":0.124656886,"about_ca_system_score_codex":0.00080575544,"about_ca_system_score_gemma":0.00007328978,"threshold_uncertainty_score":0.9998741},"labels":[],"label_agreement":null},{"id":"W6887415795","doi":"10.1594/pangaea.836850","title":"Zooplankton abundance and size structure in the North Atlantic from M87/1_438-1","year":2014,"lang":"en","type":"dataset","venue":"Publishing Network for Geoscientific and Environmental Data (PANGAEA) (Alfred Wegener Institute for Polar and Marine Research)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Seventh Framework Programme","keywords":"Zooplankton; Abundance (ecology); Data logger; Plankton; Water column; Water mass; Population; Sea level","score_opus":0.050406780878006485,"score_gpt":0.24428182194811596,"score_spread":0.19387504107010947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6887415795","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.056910962,0.002275479,0.00021458446,0.00046722396,0.0013061735,0.0009683234,0.9377037,0.000013017645,0.00014053604],"genre_scores_gemma":[0.018527733,0.00758429,0.0009263893,0.00022783653,0.0010765301,0.00005928239,0.9713099,0.000049470233,0.00023854477],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964692,0.00009688448,0.00073232513,0.0015287033,0.00017978923,0.0009931256],"domain_scores_gemma":[0.9973552,0.00062760815,0.00035103317,0.0014034265,0.000015042131,0.00024767],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003512213,0.00044006592,0.0007119632,0.00023120106,0.0011795524,0.0024617887,0.0015752345,0.00039857975,0.000096003416],"category_scores_gemma":[0.0005733882,0.00041007623,0.00008730097,0.00024582323,0.0008045454,0.0015161728,0.0017613367,0.0008349079,0.000010398495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008604847,0.00005946545,0.025018368,0.00021348184,0.00007322296,0.000003504899,0.00008081947,0.00004869077,0.0000012330867,0.00067025237,0.97040284,0.003342094],"study_design_scores_gemma":[0.0008076499,0.000071683025,0.018525943,0.00004688365,0.000049692837,0.000012059609,0.000059231705,0.002783929,3.021787e-7,0.00590133,0.97128,0.00046130168],"about_ca_topic_score_codex":0.5088542,"about_ca_topic_score_gemma":0.6358608,"teacher_disagreement_score":0.1270066,"about_ca_system_score_codex":0.000119417644,"about_ca_system_score_gemma":0.000043942528,"threshold_uncertainty_score":0.99983513},"labels":[],"label_agreement":null},{"id":"W6888937723","doi":"10.25316/ir-11605","title":"Nanaimo Free Press [Monday, February 10, 1896]","year":2019,"lang":"en","type":"other","venue":"VIURRSpace (Vancouver Island University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"White (mutation); Style (visual arts)","score_opus":0.013832278766350539,"score_gpt":0.17669759221421702,"score_spread":0.16286531344786648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6888937723","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000111782265,0.0009319197,0.0006666759,0.0001411689,0.003463704,0.00040499802,0.0011489509,0.0002570519,0.99297434],"genre_scores_gemma":[0.0006053535,0.0026697004,0.00034333917,0.00007999864,0.00044769997,0.0000015182133,0.0000053816866,0.0004466786,0.9954003],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99799556,0.00003221859,0.00032139747,0.00097391964,0.00006701752,0.00060986885],"domain_scores_gemma":[0.99768287,0.000054324668,0.0007104537,0.0013472993,0.00002770824,0.00017736484],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00017110762,0.00053538283,0.0009861027,0.0010382687,0.00012493634,0.00010463816,0.0010509132,0.0007059968,0.00508625],"category_scores_gemma":[0.000039498205,0.00070019416,0.0003278364,0.00032548257,0.000114137474,0.0002725623,0.0004395102,0.0003946606,0.0036308358],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054214892,0.0000643079,0.000053581432,0.00012537114,0.00021094612,0.00005193015,0.0001419004,0.000044199423,3.09968e-7,0.008403237,0.9905326,0.0003174051],"study_design_scores_gemma":[0.0016026212,0.00006142795,0.000015747566,0.00009692245,0.00004772313,0.0000015303714,0.00011031762,0.00021097812,0.000002506432,0.00058933446,0.996393,0.0008678938],"about_ca_topic_score_codex":0.0053649247,"about_ca_topic_score_gemma":0.0038846582,"teacher_disagreement_score":0.007813903,"about_ca_system_score_codex":0.0003352252,"about_ca_system_score_gemma":0.00009224384,"threshold_uncertainty_score":0.9995449},"labels":[],"label_agreement":null},{"id":"W6890295953","doi":"10.34989/swp-2022-28","title":"Unregulated Lending, Mortgage Regulations and Monetary Policy","year":2022,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Monetary policy; Debt; Macroprudential regulation; Intermediation; Financial intermediary; Mortgage insurance; Resilience (materials science); Shared appreciation mortgage; Credit channel","score_opus":0.0189709382863904,"score_gpt":0.2128691429326755,"score_spread":0.1938982046462851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6890295953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84893334,0.0012760148,0.00011198839,0.0010601169,0.001230325,0.00027875873,0.00041260733,0.00016928476,0.14652757],"genre_scores_gemma":[0.99314135,0.00028285754,0.0005791584,0.0004981017,0.00034920283,0.000071909344,0.000099580284,0.00007921698,0.0048986417],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974752,0.00006332116,0.0009815488,0.00080641493,0.000055094824,0.00061844254],"domain_scores_gemma":[0.9984003,0.00012669632,0.0005525216,0.00064953003,0.000019756666,0.00025122648],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00090276846,0.00033461468,0.0006616077,0.00092917617,0.0009677032,0.00013537973,0.0003623382,0.00013778917,0.005250256],"category_scores_gemma":[0.000108597866,0.00048297524,0.00020420877,0.0004324913,0.00029210918,0.00045682295,0.00033793494,0.00042240176,0.00040424662],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027052283,0.00009703807,0.89263594,0.000019642026,0.000119978235,0.000014336706,0.00057594385,0.00089757954,0.000025514133,0.096612014,0.007696275,0.00127868],"study_design_scores_gemma":[0.0020972989,0.00018786392,0.63845825,0.000018444933,0.000041770243,0.00031521602,0.00053921674,0.01707969,0.00003612534,0.039322108,0.30037934,0.0015246712],"about_ca_topic_score_codex":0.00073391706,"about_ca_topic_score_gemma":0.00011719197,"teacher_disagreement_score":0.29268306,"about_ca_system_score_codex":0.00066496496,"about_ca_system_score_gemma":0.00016333954,"threshold_uncertainty_score":0.9997622},"labels":[],"label_agreement":null},{"id":"W6902781335","doi":"10.7916/d84j0gsw","title":"Hanover National Bank, N.Y. City.","year":2015,"lang":"en","type":"article","venue":"Columbia Academic Commons (Columbia University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Payment; Subject (documents); Quarter (Canadian coin); Work (physics)","score_opus":0.07096999269961159,"score_gpt":0.21505457725219432,"score_spread":0.14408458455258272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902781335","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37411186,0.000118699725,0.0003185126,0.00044491165,0.0007297068,0.00023314293,0.00017760135,0.00015792584,0.62370765],"genre_scores_gemma":[0.8957805,0.0001496574,0.00036283903,0.00037490285,0.00024875003,0.0000036596161,0.000042620763,0.0000462764,0.10299077],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99805415,0.00005225223,0.0005637619,0.00065660634,0.00010983785,0.0005634162],"domain_scores_gemma":[0.9984692,0.00011982324,0.00039914172,0.0004335381,0.00014584263,0.00043249727],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009768524,0.00018572615,0.00052118546,0.000368389,0.00037014188,0.00029025882,0.0008924743,0.00044883668,0.0016856621],"category_scores_gemma":[0.00033904074,0.00042578115,0.00019532187,0.0008361438,0.00021870669,0.00074740645,0.00040253883,0.0007119633,0.0011266489],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037122038,0.00010408086,0.65778947,0.00001291064,0.0000833501,0.000022705279,0.00026159102,0.00008700334,0.000005195893,0.02530032,0.31499925,0.0012969801],"study_design_scores_gemma":[0.0016165769,0.00005669786,0.041888304,0.000019514531,0.00001844431,0.000013124813,0.00019501556,0.0017178059,0.0000019083209,0.036637288,0.9172656,0.0005697138],"about_ca_topic_score_codex":0.013380008,"about_ca_topic_score_gemma":0.038075134,"teacher_disagreement_score":0.6159012,"about_ca_system_score_codex":0.001160407,"about_ca_system_score_gemma":0.0002844719,"threshold_uncertainty_score":0.9998194},"labels":[],"label_agreement":null},{"id":"W6905091713","doi":"10.15126/thesis.901484","title":"Essays in urban economics","year":2025,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Real estate; Renting; Urban economics; Quarter (Canadian coin); Value (mathematics); Land Values; Residential real estate; Portuguese","score_opus":0.016894167757811617,"score_gpt":0.19809806737251137,"score_spread":0.18120389961469976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6905091713","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20363627,0.00016783027,0.000964954,0.00076015166,0.00052164437,0.00007856265,0.0000083256655,0.000035500634,0.79382676],"genre_scores_gemma":[0.9882162,0.00044439518,0.0006527671,0.0008004334,0.000048542526,0.000022756152,0.0000053076096,0.000013908975,0.009795662],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988721,0.0000052909245,0.00054038106,0.00032157457,0.000003891817,0.00025678487],"domain_scores_gemma":[0.9995399,0.00004185615,0.000090246205,0.0002856219,0.000005425282,0.000036958136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043425921,0.000109127475,0.00030858125,0.00039668084,0.00004207025,0.00007375345,0.0002015569,0.00009803589,0.00072654965],"category_scores_gemma":[0.000042873948,0.0001445117,0.00007144584,0.00018919738,0.00003103949,0.00017969063,0.00006553723,0.00010322474,0.00070992985],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007358194,0.00003316504,0.22776173,0.000008101783,0.000009917933,6.3846136e-7,0.00006041372,0.00014214127,4.257989e-7,0.7651598,0.0042712595,0.0025450445],"study_design_scores_gemma":[0.000997175,0.0000152568955,0.033384297,0.000014800194,0.000002313758,7.725767e-7,0.00008163282,0.01800894,0.000045029345,0.5040028,0.44307733,0.00036965412],"about_ca_topic_score_codex":0.00027970076,"about_ca_topic_score_gemma":0.00038186144,"teacher_disagreement_score":0.78457993,"about_ca_system_score_codex":0.00018455648,"about_ca_system_score_gemma":0.000027566457,"threshold_uncertainty_score":0.9124949},"labels":[],"label_agreement":null},{"id":"W6909019980","doi":"10.34989/san-2024-14","title":"Impacts of interest rate hikes on the consumption of households with a mortgage","year":2024,"lang":"en","type":"article","venue":"Bank of Canada Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Consumption (sociology); Interest rate; Affect (linguistics); Monetary policy; Mortgage insurance; Consumer spending; Mortgage underwriting","score_opus":0.17354731272192506,"score_gpt":0.2949984753110245,"score_spread":0.12145116258909947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6909019980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9749977,0.00046325734,0.00001813451,0.00095858175,0.00010765588,0.00014876548,0.00014311995,0.0000054592415,0.023157327],"genre_scores_gemma":[0.9992609,0.00035031766,0.00001835898,0.000022825221,0.000023152272,0.000006676731,0.0000029203375,0.000019019473,0.00029579937],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.999074,0.000050724542,0.0003844442,0.00017616127,0.00006963547,0.00024502503],"domain_scores_gemma":[0.9989158,0.00053205306,0.0001256925,0.0003083276,0.00006208075,0.000056064684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021318514,0.00007631175,0.00025185125,0.00021373825,0.000047334248,0.000033598768,0.00022620535,0.000041496478,0.0002763084],"category_scores_gemma":[0.00021103544,0.00005978685,0.00004185011,0.00024388256,0.00019695026,0.00006909377,0.00004509375,0.00021046534,0.000008768139],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082230684,0.00018025246,0.11329943,0.001982581,0.00047745765,0.000059377482,0.0011987956,0.0005987896,0.0020058895,0.81677544,0.05762825,0.0049714395],"study_design_scores_gemma":[0.004242607,0.004415307,0.5741656,0.0047847684,0.00007742151,0.00004031105,0.0026865585,0.039180156,0.12847623,0.08192849,0.15804215,0.0019603812],"about_ca_topic_score_codex":0.15276173,"about_ca_topic_score_gemma":0.31758425,"teacher_disagreement_score":0.73484695,"about_ca_system_score_codex":0.00017333888,"about_ca_system_score_gemma":0.00048808602,"threshold_uncertainty_score":0.8528801},"labels":[],"label_agreement":null},{"id":"W6909023406","doi":"10.34989/sdp-2023-21","title":"Predicting Changes in Canadian Housing Markets with Machine Learning","year":2023,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Support vector machine; Linear regression; Linear model; Time series; Regression analysis; Regression","score_opus":0.01733377564167565,"score_gpt":0.1961187117099341,"score_spread":0.17878493606825846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6909023406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8607719,0.00040408366,0.000015960808,0.00072620413,0.00097047264,0.0002527144,0.00010020856,0.00024920978,0.13650925],"genre_scores_gemma":[0.99703324,0.0005169775,0.0002511659,0.00023494511,0.00026337118,0.000045035333,0.00006511413,0.00011005816,0.0014800756],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99718857,0.00005193549,0.0007056183,0.00077270577,0.000046779624,0.0012344116],"domain_scores_gemma":[0.99857014,0.00019884022,0.00039356103,0.00039275025,0.00002553434,0.00041919044],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0018257686,0.00035675103,0.0006861129,0.0016131863,0.00040961287,0.00018218039,0.0003130115,0.00022830867,0.0013102188],"category_scores_gemma":[0.00027455774,0.00044658888,0.00009961062,0.0007171908,0.00015839616,0.00037393815,0.00008971445,0.0005480429,0.0013012281],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027364911,0.000017443208,0.99582726,0.00003542619,0.000045897326,0.00007788042,0.0005209193,0.00052457233,0.000003996469,0.0011816818,0.00040798433,0.0013296051],"study_design_scores_gemma":[0.0014764555,0.00011804846,0.84843314,0.00015601346,0.000014219376,0.00006425054,0.00047967667,0.054196276,0.000029853305,0.0006586778,0.093296275,0.0010771003],"about_ca_topic_score_codex":0.093247645,"about_ca_topic_score_gemma":0.6740103,"teacher_disagreement_score":0.5807627,"about_ca_system_score_codex":0.0009151672,"about_ca_system_score_gemma":0.0002840883,"threshold_uncertainty_score":0.9997986},"labels":[],"label_agreement":null},{"id":"W6924537439","doi":"10.15468/dl.nxajgv","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data access; Data set","score_opus":0.02109487676336829,"score_gpt":0.1969502123245086,"score_spread":0.1758553355611403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6924537439","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00027751422,0.00010584995,0.000005660339,0.00022229696,0.0021551386,0.00019928615,0.9900483,0.00010605039,0.0068799225],"genre_scores_gemma":[0.000042307052,0.00044699208,0.0000018348114,0.0003793518,0.000004858078,0.0000036468882,0.9991205,3.8609578e-8,5.168182e-7],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99851537,0.000011858846,0.00073210447,0.0003513632,0.000059916023,0.0003294161],"domain_scores_gemma":[0.99886125,0.000013354301,0.00041259438,0.00052088825,0.00005184873,0.00014008928],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00047813676,0.00028986708,0.00045226785,0.00019560943,0.00017522313,0.00040553318,0.0004934182,0.00041544347,0.0043258546],"category_scores_gemma":[0.0001088559,0.00036460077,0.00024039393,0.0002709323,0.00011782908,0.0009181479,0.00032597815,0.0003370443,0.8828022],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018336532,0.000020666437,0.0016082256,0.0002466055,0.000045459026,0.000002018023,0.00004267483,0.000008595871,1.1051012e-9,0.0000066469074,0.9972328,0.0007679628],"study_design_scores_gemma":[0.00017622655,0.000018926483,0.00003477538,0.0000032394776,0.000020766562,0.0000031976765,0.00004109442,0.0000019475244,1.5228287e-7,0.000094507304,0.99923027,0.00037490163],"about_ca_topic_score_codex":0.0005260939,"about_ca_topic_score_gemma":0.00002310568,"teacher_disagreement_score":0.8784763,"about_ca_system_score_codex":0.00054628175,"about_ca_system_score_gemma":0.00006952694,"threshold_uncertainty_score":0.9998806},"labels":[],"label_agreement":null},{"id":"W6925712826","doi":"10.18574/9780814788820","title":"The Rule of Law: Nomos XXXVI","year":2021,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Rule of law; Politics; Ideal (ethics); Liberalism; Rationality; Classical liberalism; Democracy; Meaning (existential)","score_opus":0.026945529206096965,"score_gpt":0.20183211470081774,"score_spread":0.17488658549472078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6925712826","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09155524,0.0005166415,0.00035961927,0.0010850233,0.00040688433,0.00003421894,0.00001417097,0.000015613872,0.9060126],"genre_scores_gemma":[0.98847735,0.00057119114,0.0008527356,0.0004422843,0.000071416915,0.0000040470954,0.0000045776233,0.0000137797415,0.009562601],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99930227,0.000005627581,0.00036380682,0.00015813633,0.000010069217,0.00016012034],"domain_scores_gemma":[0.99943316,0.00007856874,0.00012188576,0.0003109941,0.000022905897,0.000032482094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003216546,0.00005959334,0.00017939108,0.00002005192,0.000111925256,0.00006267586,0.00013806894,0.000042708227,0.00083007995],"category_scores_gemma":[0.000054038424,0.00005511813,0.000087320725,0.00006385752,0.00006238935,0.000079919126,0.000059855098,0.000054231125,0.00052489695],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004364942,0.000025537798,0.0059233126,0.0000064591136,0.000022173897,0.0000012828045,0.00011028733,0.0000156001,0.000020072848,0.9901797,0.0010773507,0.0026138213],"study_design_scores_gemma":[0.00026709007,0.000012395742,0.0024999816,0.0000035597718,0.000002579731,0.000003883856,0.00008844056,0.0012891697,0.0019145252,0.12395522,0.8698177,0.00014548852],"about_ca_topic_score_codex":0.00018971285,"about_ca_topic_score_gemma":0.00016453271,"teacher_disagreement_score":0.8969221,"about_ca_system_score_codex":0.000025143901,"about_ca_system_score_gemma":0.000018171166,"threshold_uncertainty_score":0.90887934},"labels":[],"label_agreement":null},{"id":"W6939098310","doi":"10.60692/4mqdg-qpe25","title":"Stock market, real estate market, and economic growth: an ARDL approach","year":2019,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Stock market; Distributed lag; Stock (firearms); Financial crisis; Real estate investment trust; Quarter (Canadian coin); Stock market bubble; Capitalization rate","score_opus":0.02752382835668106,"score_gpt":0.17902169996411813,"score_spread":0.15149787160743705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6939098310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5247624,0.0000016935547,0.0008806572,0.00001250391,0.0004422892,0.00029425052,0.0001636142,0.00009604274,0.47334656],"genre_scores_gemma":[0.99757856,0.000021055692,0.0007269787,0.00006106159,0.00011122943,0.00004198475,0.0000399128,0.000033113476,0.0013861257],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980728,0.000038855535,0.0010646791,0.00039278765,0.000038573144,0.0003923085],"domain_scores_gemma":[0.9986059,0.000012809505,0.0006373503,0.0005351275,0.00003253941,0.00017627861],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011757438,0.00027055174,0.0005397972,0.00042041362,0.00012763789,0.00046803395,0.00024512806,0.00017844207,0.00035869874],"category_scores_gemma":[0.000009554194,0.00030313875,0.000095301344,0.00008742109,0.00003865074,0.0019432564,0.00009251732,0.00012603658,0.0023524738],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016070099,0.000004885203,0.97632825,0.0005457812,0.00007073449,7.981525e-7,0.015557871,0.00016985027,7.7012416e-8,0.004899712,0.0008550801,0.0014062264],"study_design_scores_gemma":[0.0032175793,0.00016700733,0.5648037,0.000057286197,0.000026143663,0.00009468543,0.009072087,0.41090205,0.000007876706,0.00010247033,0.010268598,0.0012805174],"about_ca_topic_score_codex":0.00019423566,"about_ca_topic_score_gemma":0.000002206539,"teacher_disagreement_score":0.47281614,"about_ca_system_score_codex":0.00029141718,"about_ca_system_score_gemma":0.000028130986,"threshold_uncertainty_score":0.99994206},"labels":[],"label_agreement":null},{"id":"W6939421400","doi":"10.6084/m9.figshare.16655544","title":"Additional file 3 of Spatio-temporal dynamics of bacterial communities in the shoreline of Laurentian great Lake Erie and Lake St. Clair’s large freshwater ecosystems","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Sampling (signal processing); Shore; Freshwater ecosystem; Ecosystem; Lake ecosystem; Hydrology (agriculture); Biodiversity","score_opus":0.027685373245684746,"score_gpt":0.19832458396921654,"score_spread":0.1706392107235318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6939421400","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023541208,0.00005096735,0.0000010541102,0.00004491745,0.00006129675,0.00009132451,0.9928256,0.000004855601,0.004565807],"genre_scores_gemma":[0.02161324,0.000015911266,0.00015514348,0.000025019208,0.00006706222,0.000051208408,0.9779229,0.0000145856575,0.00013493861],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99905443,0.00004285018,0.0005866069,0.00012701502,0.00003257235,0.00015653069],"domain_scores_gemma":[0.9989008,0.00036301464,0.00038197185,0.00026023702,0.00006896369,0.00002502703],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014823943,0.00010510759,0.0003675104,0.0000994598,0.000037304664,0.000032821266,0.0001768375,0.00010055146,0.99735886],"category_scores_gemma":[0.00028316333,0.00010709304,0.00008407659,0.00010003707,0.000024331217,0.00011775577,0.00010560569,0.000107891414,0.000057544414],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017693033,0.00006235442,0.0011560544,0.00021250854,0.000022959008,0.0000022993706,0.00035717434,0.000009508181,1.9227473e-8,0.00029187935,0.9977753,0.00009222389],"study_design_scores_gemma":[0.00028940002,0.00002939096,0.00059751084,0.00044234586,0.0000025397117,0.0000034872228,0.00038513503,0.005202928,8.601015e-7,0.00033171964,0.99261194,0.00010275309],"about_ca_topic_score_codex":0.000081207625,"about_ca_topic_score_gemma":0.937684,"teacher_disagreement_score":0.9973013,"about_ca_system_score_codex":0.000019819006,"about_ca_system_score_gemma":0.000047607253,"threshold_uncertainty_score":0.43671274},"labels":[],"label_agreement":null},{"id":"W6946451818","doi":"10.34989/san-2023-19","title":"The impact of higher interest rates on mortgage payments","year":2023,"lang":"en","type":"article","venue":"Bank of Canada Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Payment; Interest rate; Mortgage insurance; Mortgage underwriting; Shared appreciation mortgage","score_opus":0.14446319663108204,"score_gpt":0.3536843333347613,"score_spread":0.20922113670367926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6946451818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8694386,0.00012292297,5.919938e-7,0.0007386138,0.00023375345,0.00011158546,0.00009474343,0.0000061317214,0.12925306],"genre_scores_gemma":[0.9930829,0.0002827147,0.0000030842505,0.000011642047,0.000043789398,0.000009103554,0.0000072621942,0.00001721044,0.006542333],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9988952,0.000039090908,0.0003894929,0.00017247298,0.00008110298,0.00042258712],"domain_scores_gemma":[0.99892074,0.00044844125,0.00013191145,0.0003601065,0.00006040489,0.0000784021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017469875,0.00007668382,0.00022210232,0.00021094397,0.00014664608,0.000038355378,0.00036430277,0.000040499497,0.00039723652],"category_scores_gemma":[0.0002523644,0.00006219188,0.00007693682,0.00039246972,0.00010645958,0.000046474164,0.000099245844,0.00017848422,0.000068275665],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034728344,0.00011390891,0.18032433,0.000089143876,0.00033599517,0.000025865083,0.00022176621,0.001177599,0.00022125254,0.107719325,0.6992238,0.0101997005],"study_design_scores_gemma":[0.0009026947,0.00048185088,0.8265081,0.000064330045,0.000002382514,7.442861e-7,0.00024168889,0.0055857976,0.0016497958,0.037087817,0.12715897,0.00031583753],"about_ca_topic_score_codex":0.27634415,"about_ca_topic_score_gemma":0.12676175,"teacher_disagreement_score":0.6461838,"about_ca_system_score_codex":0.00033129213,"about_ca_system_score_gemma":0.0003322016,"threshold_uncertainty_score":0.88917255},"labels":[],"label_agreement":null},{"id":"W6948784598","doi":"10.5281/zenodo.12122242","title":"Das märchen vom tod pdf","year":2024,"lang":"de","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Limiting; Nucleofection; Gloom; Context (archaeology); Centenarian","score_opus":0.03894557726364456,"score_gpt":0.23018450636418347,"score_spread":0.1912389291005389,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6948784598","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00032965135,0.002409866,0.0011393414,0.0009343938,0.0018701577,0.00060934457,0.0016291781,0.0006511558,0.9904269],"genre_scores_gemma":[0.01806649,0.007370995,0.0004979569,0.00040469854,0.002997698,1.719959e-7,0.007481575,0.01967338,0.943507],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99641347,0.00016356792,0.0009664555,0.0014382851,0.0001309849,0.0008872205],"domain_scores_gemma":[0.9977356,0.0000307085,0.0005307907,0.0011671542,0.00016407935,0.0003716597],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015996865,0.0005113321,0.00074526476,0.0010837107,0.0012567077,0.0032173535,0.0018847442,0.0004883635,0.5169993],"category_scores_gemma":[0.00056541123,0.0006858941,0.0002873732,0.0006777979,0.0002898952,0.00025756867,0.002042224,0.00092799123,0.8537644],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045193392,0.00015127419,0.000007676584,0.00043159712,0.0003765756,0.000034266504,0.0011549577,0.000025258121,0.0000128894935,0.024650374,0.9334924,0.039617524],"study_design_scores_gemma":[0.0004910443,0.00017064974,0.00003794345,0.00017346427,0.00005693547,0.00004263601,0.00016621049,0.000973445,0.000007425832,0.0052374713,0.9919221,0.0007206792],"about_ca_topic_score_codex":0.0000828716,"about_ca_topic_score_gemma":0.0000026437247,"teacher_disagreement_score":0.33676505,"about_ca_system_score_codex":0.00066361815,"about_ca_system_score_gemma":0.00000981113,"threshold_uncertainty_score":0.9995592},"labels":[],"label_agreement":null},{"id":"W6949560680","doi":"10.5281/zenodo.12046793","title":"buses from victoria pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Transit (satellite); Plan (archaeology); Parade; Bus network; Ticket","score_opus":0.03477395484231843,"score_gpt":0.21087968568831497,"score_spread":0.17610573084599654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6949560680","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006878363,0.0011262842,0.0006586731,0.0002365092,0.0012356157,0.00022431038,0.0016975054,0.0010135028,0.99373883],"genre_scores_gemma":[0.0060217604,0.002135747,0.00045291774,0.00017956615,0.0022321835,7.991561e-8,0.0043486566,0.017577838,0.96705127],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99846685,0.00004467506,0.0003945239,0.0006989232,0.000055469744,0.00033956682],"domain_scores_gemma":[0.9989604,0.000012659189,0.00024905367,0.0005951993,0.000045091852,0.00013763826],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00039294877,0.00023093371,0.00036782207,0.00051957194,0.00036876963,0.0011646067,0.0008695074,0.00023245446,0.3588587],"category_scores_gemma":[0.00020727972,0.00029609643,0.00010822781,0.00027378977,0.000095730364,0.0001054627,0.00072049676,0.00032976203,0.5770091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009216299,0.00003602632,0.0000038154017,0.00007373911,0.0001161304,0.000008641315,0.00024887337,0.0000017226432,0.0000069650687,0.018342378,0.97489655,0.006255955],"study_design_scores_gemma":[0.00020343506,0.00003519587,0.00002050811,0.00007648865,0.00001325777,0.0000062970125,0.00003661985,0.00009553026,0.000004063428,0.0082320925,0.990959,0.0003175273],"about_ca_topic_score_codex":0.00024102164,"about_ca_topic_score_gemma":0.000003925247,"teacher_disagreement_score":0.21815036,"about_ca_system_score_codex":0.00019550325,"about_ca_system_score_gemma":0.000002409684,"threshold_uncertainty_score":0.9999491},"labels":[],"label_agreement":null},{"id":"W6949650315","doi":"10.5281/zenodo.14065005","title":"Finding the Right Mortgage Broker in Abbotsford and Surrey, BC","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Shared appreciation mortgage; Mortgage insurance; Mortgage underwriting; Collateralized mortgage obligation; Secondary mortgage market; Loan; Commercial mortgage-backed security; Real estate; Loan-to-value ratio","score_opus":0.041441592954848394,"score_gpt":0.22623472432242878,"score_spread":0.18479313136758038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6949650315","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25535715,0.0008635687,0.0013293939,0.0018155681,0.0003535608,0.00029399904,0.00013486538,0.00033770426,0.7395142],"genre_scores_gemma":[0.9971553,0.00063106674,0.00005241644,0.00008229689,0.000105744,4.9117517e-8,0.00011274718,0.000485243,0.0013751521],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990089,0.000053171163,0.0002912838,0.0003443585,0.000034243218,0.00026806633],"domain_scores_gemma":[0.9995724,0.000041308263,0.000056697292,0.00024053421,0.000025138668,0.00006393903],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001251101,0.000097095195,0.00014361888,0.00027177308,0.0007479973,0.0011675487,0.00037909343,0.000052353014,0.0068035377],"category_scores_gemma":[0.00018494732,0.000095097836,0.000039353657,0.00034974457,0.00008300109,0.0002869082,0.00039842678,0.00025429358,0.006137736],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005373377,0.00012092768,0.0020420817,0.0002623297,0.00011126745,0.00008123589,0.0063243066,0.00011906592,0.00013742094,0.7260591,0.10740238,0.15728617],"study_design_scores_gemma":[0.00016601286,0.000028253327,0.004278964,0.000024334515,0.0000027335902,0.00003165159,0.00009392267,0.004751655,0.000013856769,0.0059643094,0.9845118,0.00013250773],"about_ca_topic_score_codex":0.000053098873,"about_ca_topic_score_gemma":0.0000044142553,"teacher_disagreement_score":0.8771094,"about_ca_system_score_codex":0.000123757,"about_ca_system_score_gemma":0.0000018712526,"threshold_uncertainty_score":0.99986935},"labels":[],"label_agreement":null},{"id":"W6963977739","doi":"10.22054/tms.2024.75383.2868","title":"Analysis of the Effect of Tourism Development on Housing Prices in Iran","year":2024,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tourism; Liberian dollar; Quarter (Canadian coin); Production (economics); Investment (military); Foreign direct investment; Distributed lag; Christian ministry; Estimation","score_opus":0.17763177611106556,"score_gpt":0.4569253367028483,"score_spread":0.27929356059178273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6963977739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97446924,0.0059660454,0.00015613827,0.000058483933,0.0006001995,0.0002529559,0.000033915745,0.000010234631,0.0184528],"genre_scores_gemma":[0.99724543,0.002437886,0.0001199597,0.000034436478,0.000043524262,0.000011353045,0.0000038443445,0.000030516527,0.0000730244],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99781084,0.00007272055,0.0013908702,0.0003713585,0.000108796245,0.0002453983],"domain_scores_gemma":[0.99805546,0.0004493053,0.0010087758,0.00039547792,0.000026634638,0.00006432755],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002865226,0.0002115393,0.0011558376,0.0022212486,0.00008697196,0.00042327325,0.0013703159,0.000097154014,0.0016865105],"category_scores_gemma":[0.00018906344,0.0001780145,0.00036111297,0.0021739474,0.00007549613,0.00068428,0.0003933291,0.00025786323,0.000011581796],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009246345,0.000076253884,0.9748451,0.00020482321,0.0008296709,0.0000060441594,0.0004526981,0.0038147452,0.0005166158,0.0003777339,0.00057666196,0.018207176],"study_design_scores_gemma":[0.0002852549,0.000014682196,0.9806483,0.0004617491,0.00013649682,5.687838e-7,0.000022690301,0.0024161544,0.009962555,0.0015882041,0.0042134407,0.0002499249],"about_ca_topic_score_codex":0.0007808562,"about_ca_topic_score_gemma":0.00024126976,"teacher_disagreement_score":0.02277623,"about_ca_system_score_codex":0.00019197323,"about_ca_system_score_gemma":0.000053959982,"threshold_uncertainty_score":0.9992261},"labels":[],"label_agreement":null},{"id":"W6964766650","doi":"10.25916/sut.26284213","title":"Analysis of expenditure patterns and levels of household indebtedness of public and private rental households, 1975 to 1999: final report","year":2003,"lang":"en","type":"article","venue":"Swinburne Research Bank (Swinburne University of Technology)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Consumer Expenditure Survey; Renting; Clothing; Consumption (sociology); Private consumption; Consumer expenditure; Sample (material); Quarter (Canadian coin); Survey sampling; Survey data collection","score_opus":0.09513306978592759,"score_gpt":0.2650761102403272,"score_spread":0.1699430404543996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6964766650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994357,0.0005319139,0.0010967382,0.00036061945,0.000052782023,0.00028563614,0.00045464362,0.00003295266,0.0028277074],"genre_scores_gemma":[0.9971892,0.0010125065,0.0014570719,0.0000053212343,0.000007923533,0.0000011417912,0.000015964093,0.000021758491,0.0002890695],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977824,0.00006472538,0.00082970085,0.00065045257,0.00016264348,0.0005100466],"domain_scores_gemma":[0.99795705,0.0001115656,0.0007299553,0.00084549945,0.00018342522,0.00017248183],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002320792,0.00020877106,0.0011409437,0.004002486,0.0001338404,0.000020091418,0.00060464226,0.0003986784,0.00023086171],"category_scores_gemma":[0.0004177225,0.0002666467,0.00019160302,0.002289988,0.00086723856,0.0002794941,0.00054952776,0.00042650336,0.0000014817294],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008789275,0.00027629276,0.9729896,0.00015584823,0.00081384584,0.00005544947,0.00046139443,0.00006154845,0.0010088853,0.020712944,0.00024523758,0.0031310527],"study_design_scores_gemma":[0.004135918,0.0012691345,0.92094666,0.00031133776,0.00038050418,0.000091749855,0.0057863453,0.0004995015,0.016993282,0.011213908,0.037338074,0.0010336019],"about_ca_topic_score_codex":0.0012274558,"about_ca_topic_score_gemma":0.00038610565,"teacher_disagreement_score":0.052042965,"about_ca_system_score_codex":0.00010998625,"about_ca_system_score_gemma":0.00010058307,"threshold_uncertainty_score":0.9999786},"labels":[],"label_agreement":null},{"id":"W6966447304","doi":"10.4224/21274838","title":"Vérification des transactions réalisées par carte d'achat en 2008 - 2009, vérification interne, CNRC","year":2010,"lang":"fr","type":"report","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada; Privy Council Office","funders":"National Research Council Canada","keywords":"Context (archaeology); Plan (archaeology); Vulnerability (computing)","score_opus":0.06567063412978719,"score_gpt":0.2328122936299716,"score_spread":0.16714165950018442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6966447304","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13687941,0.00908267,0.21692269,0.0026864158,0.016555414,0.0015126369,0.0018418635,0.0003734118,0.6141455],"genre_scores_gemma":[0.6220964,0.16375002,0.0113562485,0.00017689368,0.0020133508,0.00032184582,0.0014509384,0.00034820993,0.19848606],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99445933,0.00010341473,0.0027262787,0.0016086445,0.00012587913,0.0009764408],"domain_scores_gemma":[0.9956816,0.00025928297,0.0018197371,0.0015472968,0.0003443994,0.00034768763],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002502482,0.0008553406,0.0014725444,0.0009359648,0.00067815825,0.00058370834,0.0008107692,0.0019598128,0.007031334],"category_scores_gemma":[0.00028955852,0.0011447383,0.0007800769,0.0004607313,0.00056788966,0.0010907479,0.00004892997,0.0014907704,0.0032449905],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001258591,0.0014146235,0.092141464,0.0014327181,0.0013208345,0.000022762297,0.00680817,0.0008047161,0.0010104141,0.0150229875,0.0255173,0.85437816],"study_design_scores_gemma":[0.0005138932,0.0000871836,0.03902356,0.00018866565,0.00020547892,0.00013417109,0.00038456076,0.016795246,0.00062243146,0.003968997,0.9365142,0.0015616321],"about_ca_topic_score_codex":0.008941072,"about_ca_topic_score_gemma":0.010169478,"teacher_disagreement_score":0.91099685,"about_ca_system_score_codex":0.0011386906,"about_ca_system_score_gemma":0.00046145043,"threshold_uncertainty_score":0.9993358},"labels":[],"label_agreement":null},{"id":"W6977492027","doi":"10.7488/ds/4360","title":"Tower Blocks UK: Camden London Goldington Street, l8-07.jpg","year":2023,"lang":"en","type":"other","venue":"University of Edinburgh","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Block (permutation group theory); Borough; Tower; Metropolitan area; Project commissioning; Quarter (Canadian coin); Architecture","score_opus":0.016477317920384964,"score_gpt":0.1784013554546047,"score_spread":0.16192403753421974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977492027","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003997465,0.00041478768,0.00019221011,0.0001153046,0.0017663256,0.00018280736,0.0003528406,0.0002492633,0.992729],"genre_scores_gemma":[0.021006983,0.0035911477,0.00022502203,0.00002757541,0.00044532795,3.0069572e-7,0.000044946242,0.0002070078,0.97445166],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998692,0.0000032136693,0.00032248022,0.00056115654,0.0000464661,0.00037467844],"domain_scores_gemma":[0.9986628,0.00005902069,0.00062096736,0.00050932897,0.000023032659,0.00012480876],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00027891053,0.00027920233,0.00073285546,0.00067633396,0.00008407162,0.000026711057,0.0005348408,0.00049340946,0.15276356],"category_scores_gemma":[0.000047197656,0.00041649875,0.00027380203,0.00019687071,0.00013808053,0.0000922578,0.00022498336,0.0002438555,0.000118630145],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018491904,0.000034318713,0.015002459,0.0000066859798,0.00015533766,0.000022892053,0.00016824833,0.000028810819,6.8321407e-7,0.00047262665,0.9831602,0.00092925504],"study_design_scores_gemma":[0.00054985617,0.000043381933,0.00007653385,0.00009755899,0.00003497946,7.362371e-7,0.00022704025,0.00018873722,0.0000034338998,0.0011315764,0.9972128,0.00043336427],"about_ca_topic_score_codex":0.007686378,"about_ca_topic_score_gemma":0.0034820961,"teacher_disagreement_score":0.15264492,"about_ca_system_score_codex":0.00022335966,"about_ca_system_score_gemma":0.00004232711,"threshold_uncertainty_score":0.9998287},"labels":[],"label_agreement":null},{"id":"W6977643417","doi":"10.6084/m9.figshare.7021106","title":"Additional file 3: Figure S1. of RETRACTED ARTICLE:The impact of repeated vaccination on influenza vaccine effectiveness: a systematic review and meta-analysis","year":2017,"lang":"en","type":"article","venue":"Figshare","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Vaccination; Influenza vaccine; Risk assessment; MEDLINE; Pandemic","score_opus":0.07180878780706144,"score_gpt":0.29000651611705863,"score_spread":0.21819772830999717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977643417","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015771869,0.0017872789,5.3318877e-7,0.00004562947,0.000005527862,0.00059398485,0.9919139,0.000011010794,0.004064957],"genre_scores_gemma":[0.8115957,0.00008743136,0.000028337327,0.00013862194,0.000023212315,0.00085394253,0.18700081,0.0000270221,0.00024493673],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9988557,0.000063823674,0.0006902601,0.00023558551,0.000036977523,0.00011762465],"domain_scores_gemma":[0.99638045,0.0009802615,0.0017449296,0.0007141405,0.00013991636,0.000040303992],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00035747254,0.0001447292,0.0013669106,0.00015065688,0.00012107878,0.000062999905,0.00024528132,0.00009053346,0.8706373],"category_scores_gemma":[0.009443907,0.0001066138,0.0006462752,0.00021116933,0.000006080117,0.0002241772,0.00005297814,0.00011386331,0.0005206398],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046276586,0.00011765295,0.00048899633,0.045169886,0.033885214,0.0000018635164,0.000054409706,0.00025405936,0.0000016668341,0.000105556195,0.9198368,0.0000376023],"study_design_scores_gemma":[0.001277889,0.00048216584,0.8997401,0.020978782,0.057028007,0.0000110126675,0.000015807445,0.010835234,0.000134203,0.001874206,0.0066625057,0.0009600915],"about_ca_topic_score_codex":0.00005854514,"about_ca_topic_score_gemma":0.000015809097,"teacher_disagreement_score":0.91317433,"about_ca_system_score_codex":0.000056239598,"about_ca_system_score_gemma":0.000018374378,"threshold_uncertainty_score":0.9989},"labels":[],"label_agreement":null},{"id":"W6980161758","doi":"","title":"A Balancing that is Beyond the Scope of the Common Law: A Discussion of the Issues Raised by Dobson v. (Litigation Guardian of) Dobson","year":2001,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Guardian; Jurisprudence; Supreme court; Tort; Legislation; Legislature; Common law; Liability; Best interests","score_opus":0.01603776492268277,"score_gpt":0.2228074888656591,"score_spread":0.20676972394297632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980161758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9092354,0.0016607505,0.000029636074,0.00573446,0.0005879395,0.00042858394,0.00018936158,0.000015257842,0.08211861],"genre_scores_gemma":[0.99705607,0.00066428335,0.000079827616,0.00083199603,0.00009115373,0.000013652429,0.000010978679,0.000029975217,0.0012220608],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99847895,0.000094788564,0.0007533709,0.00029485248,0.00009739215,0.00028063066],"domain_scores_gemma":[0.99803907,0.000102146776,0.00084996497,0.00091050303,0.00003693875,0.000061365135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092172745,0.00019074233,0.0005128535,0.00004505385,0.0002918942,0.00007692745,0.00066044374,0.00013997786,0.00034048918],"category_scores_gemma":[0.00006741895,0.0001086794,0.0002928638,0.00026818016,0.00031261976,0.00031025603,0.00018005146,0.0002422607,0.00003616825],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023747682,0.00035333636,0.68958586,0.00032728133,0.0002800152,0.0000011017609,0.0057435995,0.00039984903,0.0056786924,0.2655065,0.024505325,0.007380974],"study_design_scores_gemma":[0.0036671828,0.00026932024,0.16056621,0.0009742898,0.00013676395,0.000011263524,0.0016564172,0.0025212094,0.14536642,0.16649655,0.51718265,0.0011517538],"about_ca_topic_score_codex":0.004699027,"about_ca_topic_score_gemma":0.0014769047,"teacher_disagreement_score":0.52901965,"about_ca_system_score_codex":0.000088558954,"about_ca_system_score_gemma":0.000030688145,"threshold_uncertainty_score":0.71035546},"labels":[],"label_agreement":null},{"id":"W6980416240","doi":"","title":"Carmen Muñoz, ed. 2006: Age and the Rate of Foreign Language Learning. Clevedon, Buffalo, Toronto: Multilingual Matters Ltd","year":2008,"lang":"en","type":"other","venue":"Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Foreign language; First language; Multilingualism; Constructed language; Natural language; Immigration","score_opus":0.004646019795390861,"score_gpt":0.19655895574289522,"score_spread":0.19191293594750436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980416240","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13872863,0.0033072256,0.00030194208,0.00015001312,0.00013665047,0.00041196175,0.00055456173,0.00013589836,0.8562731],"genre_scores_gemma":[0.730509,0.0047560977,0.00083147804,0.0004323581,0.00016566458,0.000015227868,0.0002831072,0.0004337927,0.26257327],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980265,0.00012301008,0.0004465866,0.0006074743,0.00006850466,0.00072792737],"domain_scores_gemma":[0.9983834,0.00028405958,0.0006302749,0.00045590784,0.00002083454,0.0002255259],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00064880616,0.00047260674,0.0008637568,0.00029310983,0.0001876205,0.00036161777,0.0006111682,0.00043749152,0.001112682],"category_scores_gemma":[0.00010010583,0.00053873134,0.00031041505,0.00012546143,0.00060106674,0.00052778533,0.00031117242,0.00039858482,0.00013838949],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001561859,0.0006477683,0.11052502,0.0009301665,0.0036890435,0.0033680387,0.03605986,0.0004900104,0.00006653915,0.07222091,0.74063265,0.029808136],"study_design_scores_gemma":[0.008048317,0.00017825325,0.013212641,0.00023716805,0.00017351173,0.00018096487,0.008983312,0.002806487,0.000019871215,0.007044355,0.9574495,0.0016656192],"about_ca_topic_score_codex":0.0065433485,"about_ca_topic_score_gemma":0.00033941268,"teacher_disagreement_score":0.5936998,"about_ca_system_score_codex":0.0006993085,"about_ca_system_score_gemma":0.00009092955,"threshold_uncertainty_score":0.99980044},"labels":[],"label_agreement":null},{"id":"W6981408616","doi":"","title":"The Effect of Three Incineration Plants on Residential Property Values in Hangzhou, China","year":2016,"lang":"en","type":"article","venue":"EngagedScholarship @ Cleveland State University (Cleveland State University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Incineration; China; Residential property; Externality; Hedonic pricing; Property value","score_opus":0.021983708250330837,"score_gpt":0.18345910163785625,"score_spread":0.16147539338752542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6981408616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9767632,0.000034505425,0.0025169672,0.00028052743,0.0003205082,0.00039025457,0.0004438523,0.00005364519,0.019196559],"genre_scores_gemma":[0.9868667,0.0010392817,0.00006355321,0.000010911182,0.000033071938,3.6045984e-7,0.000018003031,0.000028427752,0.011939697],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99776816,0.0005587364,0.0004432408,0.00057560334,0.0001125402,0.0005417323],"domain_scores_gemma":[0.99818003,0.0007743557,0.00040184148,0.00043894656,0.000046980098,0.00015784129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026162062,0.00031003112,0.0005307369,0.0007450008,0.0008609155,0.00009907204,0.00061199395,0.00015657775,0.000059808175],"category_scores_gemma":[0.00031187225,0.00022159977,0.00015739001,0.00040119854,0.00019577448,0.00087770633,0.00017319171,0.00058902486,0.00009629996],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009251686,0.00018599114,0.9198215,0.00009525305,0.00037653162,0.00049434963,0.004558869,0.0007187378,0.0002950805,0.006631478,0.0009595146,0.05661103],"study_design_scores_gemma":[0.01602137,0.0015366758,0.9081392,0.00032094502,0.00005425831,0.0000113195065,0.00078196055,0.0011914873,0.0022618356,0.01119974,0.057154655,0.0013265125],"about_ca_topic_score_codex":0.00094745774,"about_ca_topic_score_gemma":0.0048575783,"teacher_disagreement_score":0.05619514,"about_ca_system_score_codex":0.0004889391,"about_ca_system_score_gemma":0.000073742915,"threshold_uncertainty_score":0.9036577},"labels":[],"label_agreement":null},{"id":"W6983166809","doi":"","title":"Liberty Property Trust Announces 2017 Fourth Quarter and Full Year Results and Provides Guidance for 2018","year":2018,"lang":"en","type":"other","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Property (philosophy); Quarter (Canadian coin); Work (physics); Real property","score_opus":0.032871646597865345,"score_gpt":0.21840925329488392,"score_spread":0.18553760669701858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6983166809","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004447757,0.0011178626,0.0005241439,0.00075294735,0.0007323452,0.0007389388,0.0008182253,0.000106167194,0.99476457],"genre_scores_gemma":[0.0005703631,0.00286671,0.01721664,0.00019194421,0.0010882227,0.00006981997,0.00006481568,0.00025002207,0.97768146],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99814916,0.000011024547,0.00059477123,0.0008481483,0.000023399632,0.00037350465],"domain_scores_gemma":[0.9987784,0.000049322298,0.0005673937,0.00046619267,0.000026033054,0.00011266299],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00061237614,0.0003352343,0.00065295876,0.00021718472,0.00011706334,0.00026745547,0.00021120388,0.00035846466,0.00053990283],"category_scores_gemma":[0.00011944858,0.00026577112,0.00008041437,0.00004916369,0.0002422759,0.00019101475,0.00008323861,0.000089124114,0.000508405],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015320677,0.000025168198,0.0017132534,0.00018731251,0.000066789195,6.3129954e-7,0.00013084212,1.0839041e-7,7.728551e-7,0.0013592978,0.9946242,0.001738408],"study_design_scores_gemma":[0.0010000175,0.00026256594,0.00030566278,0.00009768988,0.00001229873,0.000004337401,0.000041904277,0.0013509768,0.0000011663163,0.0024848757,0.9939461,0.00049245806],"about_ca_topic_score_codex":0.00050527905,"about_ca_topic_score_gemma":0.0015083605,"teacher_disagreement_score":0.017083133,"about_ca_system_score_codex":0.000041084968,"about_ca_system_score_gemma":0.000034766705,"threshold_uncertainty_score":0.99997944},"labels":[],"label_agreement":null},{"id":"W6983213101","doi":"","title":"Long-run relationships and dynamic interactions between housing and stock prices in Malaysia","year":2009,"lang":"en","type":"article","venue":"Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Vector autoregression; Cointegration; Stock exchange; Autoregressive model; Stock (firearms); Impulse response; Price index; Quarter (Canadian coin); Composite index","score_opus":0.022289000625799624,"score_gpt":0.20671895169794405,"score_spread":0.18442995107214444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6983213101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92833745,0.00033473893,0.00560834,0.0014027801,0.00033401538,0.00034019814,0.000087075525,0.00012505619,0.06343033],"genre_scores_gemma":[0.99621224,0.00028222572,0.0022895755,0.00011190309,0.00016001586,0.000002766557,0.000101602134,0.000030623072,0.0008090234],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99761635,0.000063881715,0.00064601225,0.00097201293,0.00011339056,0.0005883299],"domain_scores_gemma":[0.9985763,0.00018342382,0.00045475087,0.00038647608,0.00007591192,0.00032313008],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043448247,0.00042385515,0.0006316512,0.0014085986,0.00097579515,0.0002885133,0.00036416433,0.00031314787,0.0000879727],"category_scores_gemma":[0.00003368456,0.0006252123,0.00017353591,0.00068353553,0.00042820716,0.0028524112,0.00016581776,0.0007236943,0.00005503116],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030653767,0.0004393707,0.5626218,0.00015882809,0.0003521971,0.001362591,0.0019450622,0.117162414,0.00032138682,0.3088995,0.0002353033,0.006195037],"study_design_scores_gemma":[0.002864911,0.00027599733,0.7148689,0.00025041634,0.00019362567,0.000607099,0.0020346027,0.26007763,0.000038346174,0.010425144,0.0068109594,0.0015523477],"about_ca_topic_score_codex":0.00018165665,"about_ca_topic_score_gemma":0.000025311943,"teacher_disagreement_score":0.29847437,"about_ca_system_score_codex":0.0013056021,"about_ca_system_score_gemma":0.00018668563,"threshold_uncertainty_score":0.9996199},"labels":[],"label_agreement":null},{"id":"W6987303653","doi":"","title":"The Spatiality of Housing Price Risk and Return in The Greater Toronto Area","year":2012,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Spatial analysis; Investment (military); Regression analysis; Autoregressive model; Spatial dependence; Perspective (graphical); Financial risk","score_opus":0.0968492913178182,"score_gpt":0.26186747748294464,"score_spread":0.16501818616512642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987303653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933319,0.00057065807,0.0002524839,0.00012426364,0.0002466211,0.00019547413,0.000033091634,0.000018478773,0.0052270344],"genre_scores_gemma":[0.9986415,0.00085661537,0.00002265405,0.00008800966,0.00007797615,9.223339e-7,0.0000030841902,0.000019095269,0.00029014342],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986861,0.00016935953,0.00038607238,0.00028352404,0.000051989868,0.00042297624],"domain_scores_gemma":[0.99876404,0.00020257504,0.00041204938,0.00050267647,0.000025384195,0.0000932938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021580828,0.00017772135,0.0003016422,0.000113874885,0.00028676362,0.00019466679,0.0004983319,0.00013084605,0.000021310438],"category_scores_gemma":[0.000082911865,0.00015196044,0.000087275635,0.000166635,0.00013956786,0.0013754815,0.00019163782,0.00029833493,0.000025182726],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053599368,0.00003853444,0.9962337,0.000015928239,0.000024240875,0.0000035112582,0.0020769278,0.0000034600528,0.0000043965356,0.00075460994,6.285888e-7,0.0007904496],"study_design_scores_gemma":[0.00042830766,0.000031232525,0.99218935,0.000023680184,0.000018159732,0.000005457273,0.000717898,0.0000038430285,0.000038710128,0.0006001683,0.0057528373,0.000190366],"about_ca_topic_score_codex":0.0002523633,"about_ca_topic_score_gemma":0.009555879,"teacher_disagreement_score":0.009303516,"about_ca_system_score_codex":0.0002258929,"about_ca_system_score_gemma":0.000015677988,"threshold_uncertainty_score":0.6196767},"labels":[],"label_agreement":null},{"id":"W6987361972","doi":"","title":"State Street Reports EPS of $0.98 for the Second Quarter of 2012 on Revenue of $2.42 Billion - Seeking Alpha","year":2012,"lang":"en","type":"other","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Revenue; State (computer science); Payment; Alpha (finance)","score_opus":0.025690552698545855,"score_gpt":0.21860608974672865,"score_spread":0.1929155370481828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987361972","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008731414,0.0022229925,0.0020414502,0.00010302911,0.0020337617,0.00088373304,0.0026992278,0.000024072257,0.9812603],"genre_scores_gemma":[0.42291066,0.0011717961,0.0014684114,0.000091083435,0.00046214348,0.000040124687,0.000091842165,0.0004109972,0.57335293],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99824685,0.00001356909,0.0011379898,0.00030704273,0.000032240754,0.0002622988],"domain_scores_gemma":[0.9964951,0.00016267314,0.0025726706,0.0006991863,0.000026958809,0.000043364802],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009945255,0.00021932996,0.00085375516,0.00035571467,0.000025309637,0.0000111331265,0.00019168995,0.00022508402,0.0068923905],"category_scores_gemma":[0.000038503797,0.00019282865,0.00025936408,0.00008746943,0.0000832097,0.000088930195,0.000039785282,0.00011196664,0.00003079281],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010493071,0.00028209854,0.024272984,0.0015071707,0.000714747,0.0000016763064,0.0005443212,0.000053091022,0.000035165893,0.011771546,0.95160705,0.009105192],"study_design_scores_gemma":[0.00032805442,0.00012034086,0.00141142,0.00015967259,0.000030612995,0.0000015732608,0.000049169812,0.00012574278,0.00025841838,0.0037836512,0.9934581,0.0002732389],"about_ca_topic_score_codex":0.00069145614,"about_ca_topic_score_gemma":0.0013897046,"teacher_disagreement_score":0.41417924,"about_ca_system_score_codex":0.000035170968,"about_ca_system_score_gemma":0.000025666437,"threshold_uncertainty_score":0.99401546},"labels":[],"label_agreement":null},{"id":"W6987540017","doi":"","title":"THREE CHAPTERS ON THE ECONOMICS OF LAND CONSERVATION","year":2023,"lang":"en","type":"article","venue":"Journal of Media Literacy Education","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Liberian dollar; Census; Acre; Descriptive statistics; Household income; Land use; Public land; Quarter (Canadian coin); Land tenure","score_opus":0.039575876803456075,"score_gpt":0.2426917116828231,"score_spread":0.20311583487936702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987540017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845928,0.00012308868,0.00011090348,0.0073939753,0.0025958836,0.000074623116,0.000015198388,0.000005834241,0.0050877137],"genre_scores_gemma":[0.99762094,0.0009326385,0.0003015883,0.0005312531,0.000533024,0.0000039150473,0.000013520372,0.000013409904,0.00004968111],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99904066,0.000011739893,0.00071945717,0.0000943427,0.000025967827,0.0001078422],"domain_scores_gemma":[0.9982913,0.0003964112,0.0010029386,0.00017705561,0.00008494832,0.000047312504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011800623,0.000074404445,0.00022226176,0.00034859133,0.000044748533,0.000056863082,0.00018128013,0.000047302125,0.00011091046],"category_scores_gemma":[0.0004186407,0.00006481416,0.00009472831,0.00016711655,0.000034001896,0.00030758607,0.00001412347,0.00012010634,0.00012117764],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018568624,0.00028747812,0.58359915,0.000074106356,0.00012756235,0.0000015021711,0.010756638,0.000606369,0.00004395354,0.29635492,0.025784321,0.08217834],"study_design_scores_gemma":[0.0009902231,0.00025057612,0.42883903,0.00022357442,0.000025908485,0.000023342067,0.0009721078,0.013330444,0.0002488691,0.43215355,0.12260496,0.00033742355],"about_ca_topic_score_codex":0.000045332505,"about_ca_topic_score_gemma":0.00001967701,"teacher_disagreement_score":0.1547601,"about_ca_system_score_codex":0.00007644487,"about_ca_system_score_gemma":0.00010375579,"threshold_uncertainty_score":0.26430446},"labels":[],"label_agreement":null},{"id":"W6988086551","doi":"","title":"Who Owns Offshore Real Estate? Evidence from Dubai","year":2022,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Norges Forskningsråd; European Commission","keywords":"Real estate; Real estate investment trust; Position (finance); Asset (computer security); Submarine pipeline; Estate; Investment (military); Subsidiary; Earnings before interest, taxes, depreciation, and amortization","score_opus":0.03335250484174343,"score_gpt":0.22757716136085784,"score_spread":0.1942246565191144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6988086551","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4583499,0.0011104387,0.012150414,0.005583708,0.0008561636,0.00039832923,0.00074701494,0.00022420826,0.5205798],"genre_scores_gemma":[0.91378444,0.047770094,0.019938586,0.00015664485,0.0001259515,0.00017634343,0.0016161648,0.0001623937,0.016269352],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99570286,0.0012696995,0.0010949803,0.001333378,0.000119214536,0.00047986847],"domain_scores_gemma":[0.9940376,0.0014512347,0.0011697542,0.0027813644,0.00034790434,0.00021208683],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0063420823,0.00040480494,0.00078040006,0.00029853467,0.00046197473,0.0006517684,0.0018192114,0.00032704786,0.0033784413],"category_scores_gemma":[0.001433476,0.00055111496,0.00034987784,0.00029275715,0.00018980628,0.00028546224,0.0024566324,0.0009658928,0.00033146737],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013813951,0.0014296096,0.36004248,0.0005264578,0.00069875957,0.000050857987,0.08025327,0.0022265553,0.00019681692,0.2811469,0.017307213,0.2559829],"study_design_scores_gemma":[0.0021557186,0.0000036815984,0.1607982,0.0045671016,0.0001743157,0.000013865239,0.0012898679,0.17112315,0.004218778,0.11858117,0.5323136,0.004760584],"about_ca_topic_score_codex":0.021742154,"about_ca_topic_score_gemma":0.004856335,"teacher_disagreement_score":0.51500636,"about_ca_system_score_codex":0.0004862244,"about_ca_system_score_gemma":0.0002295793,"threshold_uncertainty_score":0.99969405},"labels":[],"label_agreement":null},{"id":"W6989638104","doi":"","title":"Booms and busts in housing markets","year":2010,"lang":"en","type":"book-chapter","venue":"Nova Science Publishers (Nova Science Publishers, Inc.)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Boom; Bust; Sample (material); Large sample; House price; Probit model; Probit; Quarter (Canadian coin); Real estate","score_opus":0.04139121753306212,"score_gpt":0.23503082834310574,"score_spread":0.1936396108100436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6989638104","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05929958,0.00038879734,0.000119840035,0.0030546687,0.0105324555,0.0008702655,0.00007068176,0.00021658302,0.9254471],"genre_scores_gemma":[0.9324139,0.00031878983,0.011560084,0.0026325644,0.0011900342,0.000050606624,0.000098711746,0.00045031283,0.051285014],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.989248,0.000018823028,0.0023769916,0.004428359,0.0009498208,0.0029780422],"domain_scores_gemma":[0.99371505,0.00017475882,0.0018532714,0.0023054737,0.00068208884,0.0012693707],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["sts","scholarly_communication"],"category_scores_codex":[0.01794213,0.0011813109,0.0016730116,0.008014642,0.0013509702,0.024613053,0.0057937526,0.0012384732,0.0033047379],"category_scores_gemma":[0.0031417613,0.0014006478,0.0002492309,0.0038346234,0.011609429,0.038151022,0.0022138539,0.0028883957,0.0004872925],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002492805,0.0006363832,0.07150596,0.00053847785,0.0001549224,0.00025020714,0.0045135557,0.000289489,0.0010747581,0.71865666,0.03582419,0.16630611],"study_design_scores_gemma":[0.003467083,0.00025931656,0.039879397,0.0005583425,0.000046842073,0.00019901167,0.0008433457,0.003472132,0.00015349878,0.2604495,0.6842835,0.0063880216],"about_ca_topic_score_codex":0.0020475108,"about_ca_topic_score_gemma":0.0014184427,"teacher_disagreement_score":0.87416214,"about_ca_system_score_codex":0.0029024524,"about_ca_system_score_gemma":0.0033786392,"threshold_uncertainty_score":0.99994916},"labels":[],"label_agreement":null},{"id":"W6990390951","doi":"","title":"Developing enterprise GIS-based data repositories for municipal infrastructure asset management","year":2006,"lang":"en","type":"article","venue":"NPARC","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Asset (computer security); Oracle; Data sharing; Enterprise data management; Asset management; Data management; Process (computing); Data warehouse","score_opus":0.034644485592693126,"score_gpt":0.24544838425106794,"score_spread":0.21080389865837482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6990390951","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3011286,0.00021809021,0.17387155,0.002145559,0.0033877348,0.00094802317,0.001210525,0.00021928102,0.5168707],"genre_scores_gemma":[0.8766358,0.0000536878,0.121121116,0.0002481523,0.00039739773,0.00004224341,0.0006458173,0.00004073143,0.000815041],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99869233,0.000007216627,0.00051488675,0.00045668124,0.000024311132,0.00030455276],"domain_scores_gemma":[0.9988817,0.000051025254,0.00023653514,0.0007765802,0.0000169932,0.000037159778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003955489,0.00014998185,0.00027034874,0.00013382224,0.00015908935,0.0001698377,0.00054096984,0.000085319894,0.00011016543],"category_scores_gemma":[0.00003541257,0.0001846534,0.00006149599,0.00009990087,0.00003683963,0.00022617135,0.00019776887,0.00007687851,0.000037396025],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002094992,0.00013449088,0.16139995,0.00041729768,0.000204058,0.00002026143,0.0002314633,0.0018201687,0.00007244386,0.72179973,0.09914376,0.014546878],"study_design_scores_gemma":[0.0009938229,0.000028457542,0.014649119,0.000032845055,0.00001870024,0.0000026379396,0.000055674904,0.042040568,0.00014757749,0.18338095,0.7582105,0.00043914976],"about_ca_topic_score_codex":0.000073461015,"about_ca_topic_score_gemma":0.00007027646,"teacher_disagreement_score":0.65906674,"about_ca_system_score_codex":0.00016048076,"about_ca_system_score_gemma":0.000023983697,"threshold_uncertainty_score":0.7529947},"labels":[],"label_agreement":null},{"id":"W6990412476","doi":"","title":"Determination of the Amount of Return of a House in Uherský Brod","year":2022,"lang":"cs","type":"dissertation","venue":"Brno University of Technology Digital Library (Brno University of Technology)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Quarter (Canadian coin); Method of analysis; Value (mathematics)","score_opus":0.006129265635982644,"score_gpt":0.15547165946994398,"score_spread":0.14934239383396133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6990412476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9795914,0.0005261186,0.0000846285,0.00073441316,0.00024179237,0.0005689967,0.0023813057,0.00015091992,0.015720367],"genre_scores_gemma":[0.9933354,0.0019054379,0.001998169,0.0000045841666,0.0000046799146,2.3496806e-7,0.00019315504,0.00005630336,0.0025020079],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99754477,0.000038317907,0.0011009299,0.0007612535,0.00013689227,0.0004178145],"domain_scores_gemma":[0.99424976,0.00010114647,0.00422576,0.0012273946,0.00014444554,0.00005147637],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00021292217,0.00042098018,0.0017359487,0.0048452173,0.00018363686,0.000010817189,0.0031292534,0.0017133303,0.00037255383],"category_scores_gemma":[0.00016008683,0.00061654527,0.0006406511,0.0029412478,0.002409746,0.0011349911,0.001682781,0.00090132357,0.000008528645],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018767616,0.002056145,0.8947172,0.001953691,0.0007284121,0.00008739,0.0024385392,0.00018173686,0.0009860079,0.054802183,0.00067364634,0.039498277],"study_design_scores_gemma":[0.025462713,0.007742585,0.29808033,0.006369094,0.001879405,0.00012099941,0.28386483,0.0064422507,0.063477255,0.13025133,0.16966185,0.0066473526],"about_ca_topic_score_codex":0.00052591215,"about_ca_topic_score_gemma":0.00035971365,"teacher_disagreement_score":0.5966369,"about_ca_system_score_codex":0.00026764322,"about_ca_system_score_gemma":0.000364186,"threshold_uncertainty_score":0.9996286},"labels":[],"label_agreement":null},{"id":"W6991562050","doi":"","title":"1988 House Bill 6231. An Act Authorizing The Town Of Sudbury To Pay Estelle Vee Simon A Real Estate Tax Abatement For The Years 1981 Through 1987.","year":2016,"lang":"en","type":"other","venue":"State Library's electronic repository (State Library of Massachusetts)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Legislature; Real estate; Legislative history; Estate; Work (physics); Legislative intent","score_opus":0.015126696183663807,"score_gpt":0.22273414253234738,"score_spread":0.20760744634868358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6991562050","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055793777,0.0039279144,0.0018384992,0.009018869,0.004314156,0.007145666,0.0062677083,0.0015940691,0.9100993],"genre_scores_gemma":[0.07531907,0.07785284,0.0033692906,0.00076007494,0.0017263335,0.000557972,0.00052113546,0.0037290864,0.83616424],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9943818,0.00024094108,0.0021912584,0.0014051987,0.00020124688,0.0015795815],"domain_scores_gemma":[0.9943934,0.0006284453,0.0025584726,0.0021285545,0.000022866787,0.0002682318],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00080270064,0.0009218723,0.0016107914,0.0005623606,0.00030749725,0.0004359411,0.0021544727,0.00039372628,0.0008666031],"category_scores_gemma":[0.000028095948,0.00060731976,0.0006337355,0.00046229584,0.00038260172,0.0021947816,0.0005073883,0.00069551077,0.00009645315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002091184,0.0005045514,0.011924829,0.0007237448,0.0024525686,0.000058394016,0.0057073063,0.0010712325,0.00027729178,0.007445283,0.9261904,0.04155321],"study_design_scores_gemma":[0.0011149824,0.0008355365,0.00080680405,0.00020209698,0.000091864225,0.0000062651666,0.00016208121,0.00040442453,0.0021325918,0.013734987,0.97952247,0.0009858722],"about_ca_topic_score_codex":0.0019397539,"about_ca_topic_score_gemma":0.0001339011,"teacher_disagreement_score":0.07393513,"about_ca_system_score_codex":0.0001724546,"about_ca_system_score_gemma":0.00063693133,"threshold_uncertainty_score":0.99963784},"labels":[],"label_agreement":null},{"id":"W6992808599","doi":"","title":"Morgantown MSA Economic Monitor January 2005","year":2005,"lang":"en","type":"article","venue":"The Research Repository @ WVU (West Virginia University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"West virginia; Value (mathematics); Population; Present value; Quarter (Canadian coin); Interest rate","score_opus":0.03919382025100606,"score_gpt":0.247318550637801,"score_spread":0.20812473038679494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6992808599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6113267,0.00025482033,0.000036836707,0.0021256688,0.00055712566,0.0002552919,0.00004353895,0.00008546453,0.38531455],"genre_scores_gemma":[0.952231,0.0013191252,0.00017504765,0.00005594384,0.0013960274,0.000004146301,0.00001066597,0.00005153887,0.044756487],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975946,0.00018914523,0.00045794316,0.00069630507,0.00010144265,0.0009605777],"domain_scores_gemma":[0.998049,0.00031191114,0.0002498912,0.0010094123,0.000060962815,0.0003187973],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001837048,0.0002561539,0.00042326126,0.00063090376,0.001142511,0.00029501086,0.0013103983,0.00020501397,0.0007886311],"category_scores_gemma":[0.000052652136,0.00028022504,0.0002070235,0.00036982444,0.0004972902,0.0008003193,0.00042233843,0.00073431135,0.0062965853],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018103919,0.0014020981,0.14843538,0.00020957088,0.0014259622,0.0009196008,0.0064362027,0.008320848,0.0026707663,0.6548093,0.15383029,0.019729571],"study_design_scores_gemma":[0.0008592226,0.00009674825,0.011300591,0.000018477669,0.000016400149,0.000038361035,0.00061697065,0.0041405014,0.0010877013,0.0008911428,0.9804397,0.00049415475],"about_ca_topic_score_codex":0.00069797056,"about_ca_topic_score_gemma":0.00024887314,"teacher_disagreement_score":0.82660943,"about_ca_system_score_codex":0.0014751868,"about_ca_system_score_gemma":0.00020660521,"threshold_uncertainty_score":0.999965},"labels":[],"label_agreement":null},{"id":"W6992853416","doi":"","title":"Modelling of Malaysia House Price Index","year":2020,"lang":"en","type":"article","venue":"UiTM Institutional Repositories (Universiti Teknologi MARA)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Autoregressive integrated moving average; House price; Quarter (Canadian coin); Price index; Index (typography); Valuation (finance)","score_opus":0.04278259826367564,"score_gpt":0.18902033563628876,"score_spread":0.1462377373726131,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6992853416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6946731,0.00026276355,0.13186234,0.0011137234,0.00088957977,0.00016357737,0.00007297124,0.00021579473,0.17074612],"genre_scores_gemma":[0.9963482,0.00019062463,0.0027802926,0.0001427722,0.00025276246,0.0000025134214,0.000014243599,0.000020517677,0.0002480806],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987926,0.000013149159,0.0004374697,0.00042399217,0.00006171932,0.00027106985],"domain_scores_gemma":[0.9991385,0.00005476667,0.00036717203,0.00023699264,0.000076080534,0.00012650192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015950191,0.00017011049,0.00038663592,0.00018928759,0.00024564398,0.000052496554,0.00036507053,0.00018900298,0.00011340633],"category_scores_gemma":[0.000099195866,0.0002265708,0.00014403409,0.00037595918,0.00026777008,0.00058734,0.00018126403,0.00020728032,0.00015932211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014458076,0.000068825095,0.049963396,0.000068789406,0.000116971925,0.00007015461,0.0007208556,0.2850918,0.000072738505,0.6628227,0.00058512285,0.0002740524],"study_design_scores_gemma":[0.0016903055,0.000330012,0.006155481,0.000059267928,0.00004457011,0.00007494437,0.0011739993,0.862574,0.00051313685,0.02492551,0.10140652,0.0010522474],"about_ca_topic_score_codex":0.00016395503,"about_ca_topic_score_gemma":0.0000021197914,"teacher_disagreement_score":0.6378972,"about_ca_system_score_codex":0.00023038677,"about_ca_system_score_gemma":0.000110294175,"threshold_uncertainty_score":0.9239289},"labels":[],"label_agreement":null},{"id":"W6998630155","doi":"","title":"Accounting for the Uptick in Orange County Consumer Sentiment","year":2020,"lang":"en","type":"article","venue":"Chapman University Digital Commons (Chapman University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Consumer confidence index; Orange (colour); Consumer demand; Quarter (Canadian coin); Unemployment; Unemployment rate; Consumer spending","score_opus":0.040694226922353756,"score_gpt":0.17840526532774567,"score_spread":0.13771103840539192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6998630155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6592781,0.00019652268,0.00618482,0.004197056,0.00037201322,0.0009884073,0.0011586092,0.00020726628,0.3274172],"genre_scores_gemma":[0.99693066,0.0001743997,0.000097328215,0.00025698662,0.00006600623,1.7884977e-7,0.000055100805,0.000030249334,0.00238908],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986674,0.000016533568,0.00028312852,0.0005309855,0.00004596912,0.00045594954],"domain_scores_gemma":[0.998946,0.00022398174,0.00025716022,0.00034575717,0.00005019688,0.00017687566],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018019456,0.00024316351,0.0004244874,0.00038371456,0.00043821317,0.00019110402,0.0007733733,0.00012801675,0.000093280454],"category_scores_gemma":[0.000056514637,0.0003084956,0.00023650628,0.0005998597,0.00022644577,0.000983465,0.00038556795,0.00024899904,0.00024393966],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014032567,0.00049274624,0.31496063,0.00022005259,0.00058812334,0.0002768037,0.005062306,0.0011804343,0.000013401384,0.65966904,0.008846213,0.00728699],"study_design_scores_gemma":[0.00263448,0.00011092676,0.00585791,0.000025112644,0.00004550635,0.0000031561337,0.005351418,0.013043157,0.000006640314,0.0010042336,0.9712972,0.0006202599],"about_ca_topic_score_codex":0.00022770443,"about_ca_topic_score_gemma":0.00043393447,"teacher_disagreement_score":0.962451,"about_ca_system_score_codex":0.0004052296,"about_ca_system_score_gemma":0.000044922053,"threshold_uncertainty_score":0.9999367},"labels":[],"label_agreement":null},{"id":"W6999309433","doi":"","title":"City goes dark: dark trading and adverse selection in aggregate markets","year":2018,"lang":"en","type":"article","venue":"Research Portal (Queen's University Belfast)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Emperipolesis; Triacetin; Durvalumab","score_opus":0.030026828672527817,"score_gpt":0.24704688583456258,"score_spread":0.21702005716203476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6999309433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78251356,0.000015612435,0.00008629705,0.00045622664,0.00011017984,0.00019576233,0.000040668678,0.000040882056,0.21654083],"genre_scores_gemma":[0.99480426,0.0006947968,0.00030888946,0.00002296033,0.000119347504,0.0000011977672,0.000012745312,0.000023757555,0.0040120184],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981324,0.00010547166,0.00033317285,0.0006313082,0.00008831479,0.00070933066],"domain_scores_gemma":[0.9991707,0.00011937709,0.00016305961,0.0002211361,0.00008626843,0.00023944824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019914727,0.00017531248,0.00034167003,0.0010033343,0.0005169296,0.00008186398,0.00028376572,0.0001784286,0.0007799125],"category_scores_gemma":[0.00018213167,0.00024154222,0.000080952355,0.0007723964,0.0004015999,0.0007572091,0.0002332548,0.00048263182,0.0001310174],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005746012,0.00022200106,0.9484049,0.00009281078,0.00011083446,0.0002492123,0.0012916215,0.000010895152,0.00006191052,0.034492563,0.0102334535,0.004255178],"study_design_scores_gemma":[0.0031542566,0.00048385208,0.84329396,0.0001784594,0.000015626361,0.000027238686,0.0025411192,0.0060797464,0.000252571,0.018301975,0.12462771,0.0010434804],"about_ca_topic_score_codex":0.0025615979,"about_ca_topic_score_gemma":0.00067054987,"teacher_disagreement_score":0.21252881,"about_ca_system_score_codex":0.0003948668,"about_ca_system_score_gemma":0.00009824182,"threshold_uncertainty_score":0.9849806},"labels":[],"label_agreement":null},{"id":"W7000089921","doi":"","title":"Economic analysis of family house costs","year":2022,"lang":"cs","type":"dissertation","venue":"Brno University of Technology Digital Library (Brno University of Technology)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic analysis; House price; Quarter (Canadian coin)","score_opus":0.007054938364634316,"score_gpt":0.16553843951795827,"score_spread":0.15848350115332396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7000089921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9209144,0.0011699167,0.00015856497,0.0007665452,0.00041536707,0.0005148352,0.011241458,0.0006866407,0.06413229],"genre_scores_gemma":[0.97925967,0.008102817,0.0021264118,0.00001541791,0.000013537783,3.5913723e-7,0.002300707,0.00012754681,0.008053509],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99627566,0.000034144174,0.001257252,0.0015457169,0.00012739998,0.000759805],"domain_scores_gemma":[0.9937846,0.00013050745,0.004012956,0.0017908167,0.00011775555,0.00016336184],"candidate_categories":["metaepi_narrow","bibliometrics","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021746408,0.00074171106,0.003230236,0.014120538,0.00048983836,0.000046455567,0.0041040964,0.0024745974,0.0023356406],"category_scores_gemma":[0.00006964321,0.0013246776,0.0014984998,0.004714827,0.00234949,0.0017877443,0.0021767635,0.0011394052,0.0002109188],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023697524,0.001904188,0.7787662,0.0006971632,0.015845478,0.0003363042,0.001082402,0.0022814479,0.00020675888,0.14109898,0.0057934397,0.04961789],"study_design_scores_gemma":[0.010483395,0.0035371818,0.10920441,0.0008228154,0.008771484,0.00004023801,0.14512703,0.0088228,0.0019800183,0.020990599,0.6838122,0.0064078183],"about_ca_topic_score_codex":0.0010688603,"about_ca_topic_score_gemma":0.0004811679,"teacher_disagreement_score":0.67801875,"about_ca_system_score_codex":0.00071381807,"about_ca_system_score_gemma":0.00052433566,"threshold_uncertainty_score":0.99892026},"labels":[],"label_agreement":null},{"id":"W7001609265","doi":"","title":"L'accède la minorité francophone à l'Assemblée législative du Nouveau-Brunswick","year":2018,"lang":"en","type":"article","venue":"Érudit (Université de Montréal)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"French; Legislature; Politics; Legislative assembly; Democracy; Archetype","score_opus":0.0067661187127534324,"score_gpt":0.15070568353420613,"score_spread":0.1439395648214527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7001609265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7351004,0.0019450848,0.0015109738,0.0036080065,0.0007558106,0.00014946521,0.000048594546,0.000117073934,0.2567646],"genre_scores_gemma":[0.9825878,0.0028825598,0.0012227128,0.0003385553,0.00062102097,0.0000038399257,0.000017594228,0.00005795578,0.01226792],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99851465,0.000031020034,0.00035934354,0.00053481385,0.00004215432,0.0005180207],"domain_scores_gemma":[0.9988413,0.00011204752,0.0003316461,0.00046024018,0.000056843866,0.0001979177],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00043090977,0.00025807542,0.0004712255,0.0002937588,0.00051450264,0.00005066468,0.0003874768,0.00024498225,0.0008158438],"category_scores_gemma":[0.00006018411,0.00034915685,0.00019262091,0.00037616096,0.00016859126,0.00033162828,0.00023322529,0.00019271213,0.0032179786],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007981795,0.0005222053,0.26434588,0.000089880086,0.000699504,0.001046813,0.01156344,0.00020577881,0.0005838814,0.38150582,0.28615743,0.052481182],"study_design_scores_gemma":[0.0013036301,0.00011677311,0.031208351,0.0000146882785,0.000016753851,0.00008284598,0.00041675055,0.0032990996,0.00017788654,0.007913408,0.9549524,0.0004973663],"about_ca_topic_score_codex":0.009567204,"about_ca_topic_score_gemma":0.043055598,"teacher_disagreement_score":0.668795,"about_ca_system_score_codex":0.0025077863,"about_ca_system_score_gemma":0.000054306725,"threshold_uncertainty_score":0.99989605},"labels":[],"label_agreement":null},{"id":"W7006582700","doi":"","title":"?Washington Real Estate Investment Trust Announces Third Quarter Financial and Operating Results and Quarterly Dividend","year":2017,"lang":"en","type":"other","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Quarter (Canadian coin); Dividend; Investment (military); Real estate investment trust","score_opus":0.021765216663745406,"score_gpt":0.22155172141454973,"score_spread":0.19978650475080434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7006582700","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018869137,0.00037978863,0.000029064116,0.00037247324,0.00065198675,0.00030168344,0.0005463046,0.00010199751,0.97874755],"genre_scores_gemma":[0.03383706,0.029585864,0.004141046,0.0008064454,0.0017889851,0.00007139348,0.0002656334,0.0005491341,0.9289544],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.997972,0.00002230322,0.00067133113,0.0008795987,0.0000374587,0.00041732215],"domain_scores_gemma":[0.99841523,0.000048375583,0.0008137155,0.0005516124,0.00001226861,0.00015880242],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00071905955,0.00041762766,0.00083577295,0.0002816837,0.0002975662,0.000832376,0.00026463103,0.00039374086,0.00011262584],"category_scores_gemma":[0.00009167437,0.0004415159,0.0000708229,0.000035110617,0.00019409577,0.00034691193,0.000089704066,0.00024881866,0.00011840748],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007636682,0.000070807364,0.01220308,0.0002829008,0.00016934524,0.000028091872,0.0056340653,0.0000021483293,0.0000027029282,0.016204787,0.94044185,0.024883859],"study_design_scores_gemma":[0.0014428346,0.00034671603,0.005907682,0.00013593788,0.000035831144,0.000009042692,0.00025936236,0.00092062366,0.000001397014,0.0035276378,0.9864468,0.0009661513],"about_ca_topic_score_codex":0.0077666757,"about_ca_topic_score_gemma":0.007222199,"teacher_disagreement_score":0.049793124,"about_ca_system_score_codex":0.00006434886,"about_ca_system_score_gemma":0.0000478593,"threshold_uncertainty_score":0.99980366},"labels":[],"label_agreement":null},{"id":"W7008882266","doi":"","title":"A comparison of selected costs associated with sprawl and an alternative pattern of development in Guelph, Ontario","year":2000,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Urban sprawl; Revenue; Unit (ring theory); Work (physics); Tax revenue; Land use","score_opus":0.023170057315945715,"score_gpt":0.22063815483274735,"score_spread":0.19746809751680164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7008882266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901454,0.000109621076,0.00003422943,0.000016708938,0.000064266664,0.00020761185,0.00006399123,0.0000072965945,0.009350879],"genre_scores_gemma":[0.99869823,0.0001236043,0.00015610944,0.000004050931,0.000007370333,3.6570057e-7,0.00037819476,0.0000171427,0.0006149421],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990251,0.00003711856,0.00044586655,0.00026959664,0.00005283546,0.00016948888],"domain_scores_gemma":[0.9984206,0.00006845032,0.001173166,0.00019858612,0.00009800873,0.00004119015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003492629,0.00017060507,0.0007694171,0.00032916,0.000074262636,0.00001042248,0.00032158752,0.00015626027,0.00021689337],"category_scores_gemma":[0.00001568103,0.00019981539,0.000055530883,0.00025179406,0.00008429238,0.00014677073,0.00003398356,0.00022817063,0.000005229494],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012215856,0.00045220382,0.92017984,0.00013932936,0.00051015307,0.0000046077175,0.07117894,0.0002792948,0.0003093855,0.00025205867,0.000059687234,0.0054129045],"study_design_scores_gemma":[0.001001834,0.00017314995,0.99317557,0.00015123482,0.000045912442,3.5438083e-7,0.0036886642,0.0009569266,0.00018246844,0.00017177002,0.00023030875,0.00022182068],"about_ca_topic_score_codex":0.064874046,"about_ca_topic_score_gemma":0.5533026,"teacher_disagreement_score":0.48842853,"about_ca_system_score_codex":0.00037553578,"about_ca_system_score_gemma":0.0001970515,"threshold_uncertainty_score":0.941353},"labels":[],"label_agreement":null},{"id":"W7009278770","doi":"","title":"The effect of foreclosure in a downward spiraling housing market","year":2012,"lang":"en","type":"other","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Foreclosure; Database transaction; Taxable income; Las vegas; Cash; Transaction data; Quarter (Canadian coin); Residential property; Real estate","score_opus":0.023065969064394537,"score_gpt":0.2654947657848947,"score_spread":0.2424287967205002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7009278770","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034383498,0.0023080767,0.0000022099575,0.000074627744,0.0008474963,0.0008498902,0.00009399482,0.000039264472,0.9614009],"genre_scores_gemma":[0.7520371,0.06630199,0.00058954285,0.000056433513,0.0014624025,0.00041053392,0.0000647849,0.0016956796,0.1773815],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962658,0.00022097518,0.0013621512,0.0007707465,0.00007127098,0.001309022],"domain_scores_gemma":[0.9971678,0.00082182133,0.00077277044,0.0010684303,0.000015578935,0.00015356737],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0075594545,0.00044138372,0.0012995478,0.0013364285,0.00013597214,0.00013387672,0.000816729,0.00067207916,0.000990427],"category_scores_gemma":[0.00060055655,0.0004349426,0.00029929692,0.00030809868,0.00038752324,0.0001118001,0.00032036199,0.0010245929,0.00009672182],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005004184,0.00011620948,0.535101,0.00077317504,0.00022972308,0.000021042038,0.00026503557,0.0003864792,0.000004032951,0.0044696564,0.008339512,0.4497937],"study_design_scores_gemma":[0.0015657282,0.00019455446,0.004351579,0.00041215753,0.00000902575,0.0000045445317,0.0000950081,0.0024988765,0.000023565755,0.0014916598,0.9886763,0.0006769696],"about_ca_topic_score_codex":0.00064905564,"about_ca_topic_score_gemma":0.0027677757,"teacher_disagreement_score":0.98033684,"about_ca_system_score_codex":0.00077719346,"about_ca_system_score_gemma":0.00008901028,"threshold_uncertainty_score":0.9999228},"labels":[],"label_agreement":null},{"id":"W7009391397","doi":"","title":"The Effect of Immigration on Real Estate in Canada","year":2024,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Immigration; Real estate; Renting; Government (linguistics); Population; Rental housing; Immigration policy; House price","score_opus":0.01368223217920544,"score_gpt":0.2281504545194023,"score_spread":0.21446822234019686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7009391397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5899715,0.000073241215,2.2571538e-7,0.00009941829,0.0011271407,0.0002171547,0.000019154379,0.000009645845,0.40848252],"genre_scores_gemma":[0.97350293,0.004148812,6.185899e-7,9.939978e-7,0.00011300366,0.0000048849543,0.00006025083,0.0000398157,0.022128696],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981398,0.00019869003,0.0004932564,0.00053396414,0.00012789555,0.0005064123],"domain_scores_gemma":[0.99848926,0.00062361534,0.00028901658,0.00045985624,0.0000366237,0.00010163233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012036859,0.00021538536,0.00048310283,0.0009283981,0.00029612117,0.00011837344,0.0005146746,0.00017508582,0.000018363366],"category_scores_gemma":[0.00007656139,0.0002194337,0.00015077835,0.00070218084,0.00008515889,0.00011504593,0.00006056717,0.00088383525,0.000060157432],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008031155,0.0001108498,0.8646408,0.0019768353,0.0008621296,0.0024029834,0.003217719,0.0008296131,0.00036880313,0.07143593,0.0099563,0.036166936],"study_design_scores_gemma":[0.0033064242,0.0036767132,0.60703695,0.0011096213,0.0001203749,0.000014538505,0.012865396,0.0093995435,0.024487853,0.0072192885,0.32842147,0.0023418576],"about_ca_topic_score_codex":0.97739077,"about_ca_topic_score_gemma":0.9959349,"teacher_disagreement_score":0.38635385,"about_ca_system_score_codex":0.0033293946,"about_ca_system_score_gemma":0.0012982443,"threshold_uncertainty_score":0.8948246},"labels":[],"label_agreement":null},{"id":"W7010176536","doi":"","title":"Histologic Evaluation of the Lung in Actively Racing Horses","year":2012,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hemosiderin; Lung; Airway; Horse; Population; Inflammation; Lesion; Immunohistochemistry; Hyperplasia","score_opus":0.04079680448356477,"score_gpt":0.23148707280030806,"score_spread":0.1906902683167433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7010176536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9210172,0.0018331048,0.000024339763,0.00014169991,0.00069097447,0.00027673077,0.00003100629,0.000006443501,0.07597847],"genre_scores_gemma":[0.9980547,0.00035367828,0.00004001148,0.0000061349615,0.000037004702,5.384506e-7,0.000038626684,0.000012829303,0.0014564955],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992028,0.00008228148,0.00028756887,0.00019458546,0.00006539359,0.00016739978],"domain_scores_gemma":[0.99839723,0.00008068428,0.0010778871,0.0003454815,0.0000783512,0.00002037587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016263712,0.00012491594,0.00039901468,0.00022695231,0.00013896442,0.000007359332,0.000509038,0.0001963048,0.00037991616],"category_scores_gemma":[0.00011555495,0.00012469583,0.00019942416,0.00023581456,0.000083516556,0.000197619,0.00006819198,0.0002212701,0.000031977655],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029832867,0.0013238641,0.63167614,0.0029556379,0.0018209455,0.0000066084335,0.15413707,0.009582608,0.013782905,0.08715249,0.011399087,0.08317934],"study_design_scores_gemma":[0.0005175525,0.0000144545575,0.98511106,0.000063045074,0.00015939529,6.560923e-7,0.0046944087,0.0035009128,0.00006397416,0.0043504,0.001335012,0.00018914284],"about_ca_topic_score_codex":0.0019325297,"about_ca_topic_score_gemma":0.0018798352,"teacher_disagreement_score":0.3534349,"about_ca_system_score_codex":0.00034378082,"about_ca_system_score_gemma":0.000087449,"threshold_uncertainty_score":0.5084948},"labels":[],"label_agreement":null},{"id":"W7010482168","doi":"","title":"Houston Is On The Right Side Of The Tracks","year":2021,"lang":"en","type":"article","venue":"scholarworks - UTEP (The University of Texas at El Paso)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Metropolitan area; Public transport; Transit (satellite); Land Values; Mile; Track (disk drive); Quarter (Canadian coin); Property tax; Rail transit","score_opus":0.0161412149227713,"score_gpt":0.17756187548960106,"score_spread":0.16142066056682977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7010482168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8141789,0.00036353985,0.00013721854,0.00760454,0.00042187367,0.00016749994,0.00008387862,0.000015744,0.17702685],"genre_scores_gemma":[0.9890431,0.00052243785,0.00011067169,0.00074491766,0.00005397633,2.1916598e-7,0.0000047101275,0.000018298384,0.009501629],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99894565,0.0000830838,0.00031510572,0.00033685955,0.000068930465,0.00025035924],"domain_scores_gemma":[0.99822795,0.00025319197,0.00044343233,0.0009653706,0.00005756208,0.0000525111],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007398615,0.00015627182,0.0003393034,0.00006749454,0.0005836327,0.000044414333,0.00086626684,0.00016771986,0.0026001127],"category_scores_gemma":[0.00012595646,0.00011910708,0.00036610462,0.0003160213,0.00030846108,0.00017945269,0.00035870803,0.0004735111,0.00042410602],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009635903,0.0012869064,0.445251,0.00024333017,0.0018259386,0.00008675725,0.011873812,0.0068130903,0.0006859322,0.33807933,0.17134729,0.021543033],"study_design_scores_gemma":[0.0014102109,0.00008781502,0.21711871,0.00015393754,0.0001147374,0.000014038018,0.0012078846,0.002337244,0.0046648183,0.018411554,0.7539184,0.0005606235],"about_ca_topic_score_codex":0.0001752834,"about_ca_topic_score_gemma":0.0002751983,"teacher_disagreement_score":0.58257115,"about_ca_system_score_codex":0.00016795153,"about_ca_system_score_gemma":0.00004819294,"threshold_uncertainty_score":0.99831164},"labels":[],"label_agreement":null},{"id":"W7010569622","doi":"","title":"Industry characteristics and macro-environment aspects influencing the possible acquisition of slack by salesforce","year":2023,"lang":"en","type":"dissertation","venue":"Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Macro; Quarter (Canadian coin); Knowledge acquisition; Data acquisition","score_opus":0.01590616478725571,"score_gpt":0.207390174823885,"score_spread":0.1914840100366293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7010569622","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9090601,0.0004100832,0.00010432235,0.00047809802,0.0012053425,0.00046768397,0.0004517499,0.00014216566,0.08768043],"genre_scores_gemma":[0.9682527,0.0008846326,0.00029320593,0.00021842394,0.00040188458,0.000006252359,0.00091176276,0.00020817117,0.028822925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99665886,0.00010230873,0.0010339379,0.0010790926,0.00020184302,0.00092395436],"domain_scores_gemma":[0.99658126,0.00021826122,0.0018646878,0.0008894324,0.00011289302,0.00033349753],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00066691206,0.00070138986,0.0010669495,0.000977571,0.00061462243,0.00034518525,0.0009336692,0.002178365,0.0005258032],"category_scores_gemma":[0.000070169364,0.0009038283,0.00034683014,0.0007027053,0.00031671874,0.00072336185,0.00025880305,0.0020290029,0.00018884006],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0051038736,0.0019376248,0.5168186,0.006914416,0.0070088673,0.0035891153,0.09665126,0.003936806,0.1151947,0.09395599,0.13791288,0.010975849],"study_design_scores_gemma":[0.007953786,0.0010810491,0.78148824,0.0024220576,0.0017377611,0.000542643,0.082453616,0.008120391,0.02161441,0.0072233365,0.07814644,0.007216286],"about_ca_topic_score_codex":0.0020366453,"about_ca_topic_score_gemma":0.00011158034,"teacher_disagreement_score":0.2646696,"about_ca_system_score_codex":0.0016466351,"about_ca_system_score_gemma":0.0003134586,"threshold_uncertainty_score":0.99934125},"labels":[],"label_agreement":null},{"id":"W7010861489","doi":"","title":"Konut finansman yöntemlerinde riskler: hane halkının konut finansman yöntemlerini değerlendirmesine yönelik bir araştırma","year":2008,"lang":"tr","type":"other","venue":"Marmara University Open Access System","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Inflation (cosmology); Work (physics); Economic analysis; Quarter (Canadian coin)","score_opus":0.06384184012401418,"score_gpt":0.2514211152379404,"score_spread":0.18757927511392625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7010861489","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03896476,0.0017124932,0.0013150662,0.0007384054,0.0060596634,0.003908691,0.0034715133,0.0005558089,0.9432736],"genre_scores_gemma":[0.40755594,0.023732202,0.0012578069,0.00024700718,0.0013592321,0.000054055086,0.0009498752,0.0012286784,0.5636152],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9895026,0.0004140611,0.0029721002,0.004137333,0.0003379468,0.0026359255],"domain_scores_gemma":[0.99042016,0.00024227083,0.0047980435,0.0032055432,0.00026344246,0.0010705381],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0019679437,0.0024559312,0.005226256,0.003305508,0.0020221788,0.0037050976,0.012655485,0.0020921025,0.0089836875],"category_scores_gemma":[0.000083260005,0.003381756,0.001330516,0.0019391496,0.0007003456,0.0044585,0.007138279,0.0017061743,0.011607661],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033759587,0.0023267209,0.32949463,0.008782638,0.004542922,0.004894362,0.0019773166,0.0014044812,0.0000084284175,0.035920024,0.5886729,0.018599628],"study_design_scores_gemma":[0.0056429384,0.00025011034,0.021894293,0.0017438878,0.00028630823,0.00026384296,0.001228676,0.005056003,0.000017670258,0.0000700995,0.95974404,0.0038021272],"about_ca_topic_score_codex":0.017101498,"about_ca_topic_score_gemma":0.0034828063,"teacher_disagreement_score":0.3796584,"about_ca_system_score_codex":0.0040239166,"about_ca_system_score_gemma":0.0007045054,"threshold_uncertainty_score":0.99979943},"labels":[],"label_agreement":null},{"id":"W7011363040","doi":"","title":"Manulife Investing in Toronto Real Estate Investment &amp;amp; Property Management Firm","year":2016,"lang":"en","type":"other","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Property management; Investment (military); Property (philosophy); Corporate Real Estate; Investment management","score_opus":0.04475115784360338,"score_gpt":0.2474085547269821,"score_spread":0.2026573968833787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7011363040","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00040758777,0.00023140527,0.00016313988,0.0003316915,0.00078349304,0.0006761777,0.000079178695,0.00021492709,0.9971124],"genre_scores_gemma":[0.00011477407,0.020344563,0.013714221,0.0006423024,0.00031224437,0.000120781726,0.00008013481,0.00046417367,0.9642068],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99750006,0.000025822288,0.00095208065,0.00087853486,0.000045646935,0.00059785164],"domain_scores_gemma":[0.9981476,0.000024946376,0.0005676845,0.0010714999,0.000007623573,0.00018063239],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006523121,0.00045856525,0.0007798082,0.0003706686,0.000050967097,0.00011420519,0.00056196813,0.00030097424,0.02023598],"category_scores_gemma":[0.00003872008,0.00038052947,0.00012821682,0.00008165734,0.00007622211,0.00018363348,0.0003652191,0.00014551544,0.011061795],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020458407,0.000114391994,0.008394156,0.00031021406,0.00015168394,0.000013311752,0.00022121904,0.0000056347467,7.351971e-7,0.03472487,0.93928826,0.016755043],"study_design_scores_gemma":[0.0006241861,0.000011465463,0.00064811826,0.00017306053,0.000007831004,0.0000015718895,0.000043378233,0.000051068542,3.5075755e-7,0.0036302935,0.9941584,0.0006503175],"about_ca_topic_score_codex":0.053768706,"about_ca_topic_score_gemma":0.16235577,"teacher_disagreement_score":0.10858706,"about_ca_system_score_codex":0.0013359697,"about_ca_system_score_gemma":0.000030875803,"threshold_uncertainty_score":0.99986464},"labels":[],"label_agreement":null},{"id":"W7015586958","doi":"","title":"Sudbury Housing Authority: For the period April 1, 2012 through December 31, 2013","year":2015,"lang":"en","type":"book","venue":"State Library's electronic repository (State Library of Massachusetts)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Period (music); Population; Duration (music)","score_opus":0.019115137279847972,"score_gpt":0.21212663170792434,"score_spread":0.19301149442807636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7015586958","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035944087,0.050851393,0.0014160282,0.0049843267,0.003768518,0.0026494144,0.002367576,0.0007465702,0.92962176],"genre_scores_gemma":[0.0038340457,0.021740586,0.0022347535,0.00071939675,0.001730444,0.00021389623,0.0015025758,0.0010149649,0.96700937],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9925075,0.00016151577,0.003029589,0.0018633379,0.00025498844,0.0021830439],"domain_scores_gemma":[0.9937542,0.00063892954,0.0029854327,0.0021454399,0.00007258741,0.0004034047],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.000981651,0.0013802064,0.0024206243,0.0005520688,0.0006866719,0.0011544762,0.0021435514,0.0008833629,0.0007597932],"category_scores_gemma":[0.00003836374,0.0013922151,0.0011235337,0.00039085333,0.0006177157,0.007312989,0.0007342218,0.0017213087,0.00022010754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076335634,0.00013952347,0.0012966925,0.0005586007,0.0011542148,0.00004303742,0.0010806584,0.0006432403,0.0000062177696,0.027279174,0.96512353,0.0019117735],"study_design_scores_gemma":[0.0010187703,0.0003045246,0.000077253775,0.00012246493,0.00012207372,0.00003566331,0.00004408723,0.0010963405,0.00019452226,0.25873366,0.73707163,0.001179001],"about_ca_topic_score_codex":0.000093773306,"about_ca_topic_score_gemma":0.00002238312,"teacher_disagreement_score":0.23145448,"about_ca_system_score_codex":0.00054479257,"about_ca_system_score_gemma":0.0030640825,"threshold_uncertainty_score":0.99989486},"labels":[],"label_agreement":null},{"id":"W7017276522","doi":"","title":"Analysis of the housing market","year":2020,"lang":"cs","type":"dissertation","venue":"Brno University of Technology Digital Library (Brno University of Technology)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Market research; Order (exchange); Quarter (Canadian coin); Market analysis","score_opus":0.0065978254765082555,"score_gpt":0.14729599391740325,"score_spread":0.140698168440895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7017276522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87699085,0.000689055,0.00037322892,0.0035972206,0.00035016672,0.000527253,0.0046696877,0.00042970874,0.11237281],"genre_scores_gemma":[0.9864195,0.0028034532,0.0022681872,0.000022029786,0.0000132695,1.0055648e-7,0.0005827654,0.00006877931,0.007821924],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99704933,0.00003307762,0.0009766113,0.0012046249,0.00013498189,0.0006013478],"domain_scores_gemma":[0.99453366,0.00010111659,0.00352296,0.0015582473,0.00015564809,0.00012836151],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015119281,0.0006147624,0.0025181735,0.0062617455,0.0004490892,0.000045103996,0.004132712,0.002484239,0.0009771849],"category_scores_gemma":[0.00016417066,0.0008777423,0.0015139322,0.0075752647,0.0027423692,0.0013054858,0.0021105902,0.0010594093,0.00006557747],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011656681,0.00078411127,0.9100988,0.0007480108,0.008581745,0.0001237345,0.00082644424,0.000272427,0.00012977661,0.046746656,0.004323876,0.02619877],"study_design_scores_gemma":[0.00774312,0.0017181474,0.1920236,0.002064502,0.011223588,0.000029510007,0.08391321,0.01647436,0.0048128865,0.030485896,0.6441762,0.005334985],"about_ca_topic_score_codex":0.00019116717,"about_ca_topic_score_gemma":0.00018881718,"teacher_disagreement_score":0.71807516,"about_ca_system_score_codex":0.00019648376,"about_ca_system_score_gemma":0.000350501,"threshold_uncertainty_score":0.99997157},"labels":[],"label_agreement":null},{"id":"W7017420971","doi":"","title":"Análise macroeconômica dos impactos da pandemia do COVID-19 no mercado imobiliário em Curitiba-PR no ano de 2020","year":2021,"lang":"en","type":"dissertation","venue":"Institutional Repository of the Federal Technological University of Paraná (RIUT) (Federal University of Technology – Paraná)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Renting; Quarter (Canadian coin); Product (mathematics); Work (physics); Unemployment; Gross domestic product; Value (mathematics)","score_opus":0.014542905612995424,"score_gpt":0.2166167304898695,"score_spread":0.2020738248768741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7017420971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9476437,0.001603495,0.0005535204,0.0011816429,0.0008369559,0.00074350584,0.000573203,0.0003117491,0.04655222],"genre_scores_gemma":[0.9899468,0.0020666984,0.0021518504,0.00007664492,0.00005455055,0.0000014368691,0.0002027727,0.00003240588,0.005466854],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966835,0.00012406656,0.0010177743,0.0012225755,0.00023759919,0.00071449863],"domain_scores_gemma":[0.9960816,0.0001576063,0.0019831867,0.0010915401,0.0004186585,0.00026741426],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["sts"],"category_scores_codex":[0.00053125684,0.00064505066,0.0017890665,0.0007513435,0.0018397461,0.000070196475,0.0025274588,0.0027175394,0.0007082249],"category_scores_gemma":[0.00065042457,0.0007729249,0.0010848049,0.0007409978,0.0032157477,0.00037657988,0.00068541744,0.001558911,0.00009374327],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.024046589,0.008739529,0.4131582,0.008986315,0.009921542,0.006750665,0.007660513,0.010501577,0.06527152,0.40432543,0.027778875,0.012859241],"study_design_scores_gemma":[0.024404408,0.0027697987,0.06023583,0.003625524,0.0014667684,0.001604607,0.03171261,0.004773884,0.01983832,0.1004871,0.7407744,0.008306772],"about_ca_topic_score_codex":0.0017614504,"about_ca_topic_score_gemma":0.00087271177,"teacher_disagreement_score":0.7129955,"about_ca_system_score_codex":0.0012945738,"about_ca_system_score_gemma":0.0010609309,"threshold_uncertainty_score":0.99949694},"labels":[],"label_agreement":null},{"id":"W7017886915","doi":"","title":"Canadian housing prices : a case study using macroeconomic variables and machine learning","year":2022,"lang":"en","type":"dissertation","venue":"Duo Research Archive (University of Oslo)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cointegration; Price index; Segmentation; Market segmentation; Index (typography); Inference; Random forest","score_opus":0.049334461261957015,"score_gpt":0.26149458506855844,"score_spread":0.21216012380660143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7017886915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9600454,0.00055370905,0.00012337492,0.000045666762,0.00019813543,0.000577563,0.0005259176,0.000021998323,0.03790825],"genre_scores_gemma":[0.99526274,0.00093420857,0.0014014154,0.000006135031,0.000046217214,0.000002315044,0.0003808199,0.000067425244,0.0018987077],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9978806,0.0002136805,0.00037968284,0.0007774956,0.00008470801,0.00066384324],"domain_scores_gemma":[0.9985262,0.0002767597,0.00045751408,0.00034634979,0.00006503113,0.00032815465],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022208076,0.00024745363,0.0006838507,0.0023410528,0.001966093,0.00014594804,0.00047607868,0.00013651942,0.001802339],"category_scores_gemma":[0.0001168703,0.00040290479,0.00012467022,0.0003741261,0.00014959667,0.0003064395,0.00034052442,0.0011416598,0.00003526957],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016088492,0.0011423014,0.6828164,0.00199879,0.0027131822,0.016739175,0.22885521,0.0050008837,0.0002325919,0.017148,0.0011458787,0.04059878],"study_design_scores_gemma":[0.0048457235,0.0015990236,0.03351297,0.000253201,0.0002487195,0.00062424556,0.6234571,0.20989668,0.000007352105,0.021330945,0.10143038,0.0027937065],"about_ca_topic_score_codex":0.7969081,"about_ca_topic_score_gemma":0.7960541,"teacher_disagreement_score":0.6493034,"about_ca_system_score_codex":0.00085554516,"about_ca_system_score_gemma":0.00053605513,"threshold_uncertainty_score":0.9998423},"labels":[],"label_agreement":null},{"id":"W7018454791","doi":"","title":"The determinant of housing price in Malaysia / Fatin Nur Syamimi Mohd Herman","year":2019,"lang":"en","type":"other","venue":"UiTM Institutional Repositories (Universiti Teknologi MARA)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Ordinary least squares; House price; Statistic; Order (exchange); Population; Price index","score_opus":0.015566946953883632,"score_gpt":0.1983208294275264,"score_spread":0.18275388247364277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7018454791","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04702233,0.0011863742,0.00047721955,0.00021232842,0.0033067474,0.000421151,0.0001389805,0.00009813092,0.94713676],"genre_scores_gemma":[0.71823305,0.0023894364,0.0012555493,0.0000586518,0.00059817877,0.000017280709,0.000082419465,0.00022611057,0.27713937],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99827296,0.00003590567,0.00060875324,0.00055925216,0.00008461893,0.0004385147],"domain_scores_gemma":[0.9981943,0.00013991495,0.00096534844,0.00059886434,0.000043358923,0.000058245827],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030564377,0.00032033658,0.00065922877,0.00057775027,0.00026373003,0.00009554709,0.00065522955,0.0005067783,0.00012908345],"category_scores_gemma":[0.0001177695,0.00034121127,0.00018438784,0.00034967295,0.00049648667,0.0002403552,0.00026981157,0.00036248448,0.00022648905],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018785946,0.00022321445,0.061536472,0.00045607303,0.00040090995,0.00034161593,0.00055647356,0.0020904758,0.0000677897,0.8936324,0.035007272,0.00549944],"study_design_scores_gemma":[0.0009245774,0.00011638393,0.009497218,0.0004213981,0.000034012435,0.000060455102,0.0006025427,0.004051734,0.000046155423,0.0028600355,0.9805291,0.0008563694],"about_ca_topic_score_codex":0.00088603963,"about_ca_topic_score_gemma":0.00030055738,"teacher_disagreement_score":0.94552183,"about_ca_system_score_codex":0.00066559314,"about_ca_system_score_gemma":0.00021027795,"threshold_uncertainty_score":0.999904},"labels":[],"label_agreement":null},{"id":"W7018835174","doi":"","title":"Empirical Research on the Determinants of House Price Behaviour in China, From January Quarter 2000 to December Quarter 2008","year":2010,"lang":"en","type":"other","venue":"Nottingham ePrints (University of Nottingham)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); House price; Economic rent; Boom; Metropolitan area; Investment (military); Order (exchange); Empirical research","score_opus":0.05617507051976995,"score_gpt":0.28147321713851986,"score_spread":0.22529814661874992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7018835174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6972659,0.000039702478,0.00007288606,0.0007847578,0.00037453466,0.00056694733,0.00026416208,0.00005867944,0.30057243],"genre_scores_gemma":[0.9393205,0.00014322919,0.0037850176,0.00020366162,0.00030580902,0.0000073178735,0.00002332832,0.00041875965,0.055792373],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968544,0.0001876328,0.0008267112,0.0011381769,0.00021182052,0.00078120537],"domain_scores_gemma":[0.9967119,0.00053609465,0.0010416013,0.0014162123,0.000078864075,0.00021532128],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0023359181,0.00043773573,0.0011818871,0.00151843,0.00020262889,0.000055342192,0.0014315458,0.0008702338,0.0073871594],"category_scores_gemma":[0.0003049813,0.0005088193,0.00030745432,0.00062901626,0.00034269696,0.00013196276,0.0005021049,0.0014498003,0.0025731805],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019043806,0.0006744621,0.737537,0.00009061401,0.00009645796,0.00006918326,0.0077912402,0.000016274244,0.00002208934,0.00025721727,0.24632667,0.0069283154],"study_design_scores_gemma":[0.0018260857,0.00029053303,0.7678371,0.0008369436,0.000038112234,0.000005184743,0.0019949568,0.0012837247,0.00010902782,0.0013299554,0.22321343,0.0012349479],"about_ca_topic_score_codex":0.013753258,"about_ca_topic_score_gemma":0.012647952,"teacher_disagreement_score":0.24478006,"about_ca_system_score_codex":0.00025767932,"about_ca_system_score_gemma":0.00015780845,"threshold_uncertainty_score":0.99973637},"labels":[],"label_agreement":null},{"id":"W7018856425","doi":"","title":"En internasjonal komparativ studie av empirisk sammenheng mellom boligpriser og konjunkturer","year":2020,"lang":"no","type":"dissertation","venue":"Duo Research Archive (University of Oslo)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Style (visual arts); Period (music); Context (archaeology)","score_opus":0.06271631426991184,"score_gpt":0.2873852699343328,"score_spread":0.22466895566442094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7018856425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6624775,0.0018727711,0.005780999,0.003926612,0.001658044,0.0016338911,0.002675893,0.00008323439,0.31989104],"genre_scores_gemma":[0.9497042,0.024088798,0.0044574495,0.00011548914,0.0007287678,0.000007431448,0.002487873,0.0001755291,0.018234465],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99492383,0.0006086491,0.0009989239,0.0017367648,0.00038981444,0.001342009],"domain_scores_gemma":[0.9958175,0.0012582485,0.0010250565,0.000856411,0.00035646145,0.0006863645],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0025326752,0.00067243347,0.0018780499,0.0017952839,0.0010294701,0.00020376024,0.0021469526,0.00055671285,0.0031461301],"category_scores_gemma":[0.00056991685,0.0009983412,0.0008211365,0.00078755117,0.00079265534,0.00060921354,0.0012003679,0.002652566,0.0039127436],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.014427038,0.0031028138,0.15312393,0.004511993,0.010181036,0.0011568432,0.365011,0.0006836106,0.0020165395,0.07735847,0.3195436,0.048883125],"study_design_scores_gemma":[0.004771814,0.0013839928,0.12610488,0.0007123509,0.00020856042,0.0000072715034,0.067837015,0.028642371,0.00021675698,0.032170776,0.7355564,0.0023877814],"about_ca_topic_score_codex":0.0034306755,"about_ca_topic_score_gemma":0.0043227803,"teacher_disagreement_score":0.41601282,"about_ca_system_score_codex":0.0006260071,"about_ca_system_score_gemma":0.0005183511,"threshold_uncertainty_score":0.99964833},"labels":[],"label_agreement":null},{"id":"W7018952301","doi":"","title":"The factors of influencing real estate investment trust - a case study of the U.S. and Canada","year":2008,"lang":"en","type":"other","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Investment (military); Real estate investment trust; Matching (statistics); Work (physics)","score_opus":0.021774704875617903,"score_gpt":0.19184015625785747,"score_spread":0.17006545138223955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7018952301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5886016,0.000065086744,2.113325e-7,0.000009305133,0.00018773174,0.00020842602,0.00005663355,0.000005039079,0.410866],"genre_scores_gemma":[0.95047534,0.004472164,0.000020275034,0.00003539764,0.000028165368,0.000008289592,0.0000018991498,0.000119979406,0.044838473],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99901515,0.000018934701,0.0005552466,0.00021711989,0.000030332341,0.00016320095],"domain_scores_gemma":[0.99871314,0.0000729782,0.0007186855,0.0004389634,0.0000093776325,0.000046870005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017655015,0.00016980799,0.00043215512,0.000086697284,0.00011851778,0.000018280967,0.00019364168,0.00007704447,0.00008918401],"category_scores_gemma":[0.000030275602,0.00011453501,0.000049130344,0.000071671006,0.00011047876,0.00002320294,0.00010163154,0.000105960295,9.384283e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009322521,0.00010784057,0.95231974,0.00008142971,0.00035638563,0.000055686025,0.0045788214,0.000045162556,3.3440432e-7,0.0011707251,0.039851714,0.0014228206],"study_design_scores_gemma":[0.0022208514,0.00033766156,0.12906097,0.00009565488,0.00010177238,0.00016962533,0.037913293,0.0005909796,0.000022827104,0.00038897918,0.8279127,0.0011847115],"about_ca_topic_score_codex":0.9866022,"about_ca_topic_score_gemma":0.98503006,"teacher_disagreement_score":0.82325876,"about_ca_system_score_codex":0.0001248702,"about_ca_system_score_gemma":0.0001624051,"threshold_uncertainty_score":0.4670602},"labels":[],"label_agreement":null},{"id":"W7019384890","doi":"","title":"FAWP Aug 1 2015 Show","year":2013,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Estate; Estate planning; Health care; Nova scotia","score_opus":0.00954770723945643,"score_gpt":0.17053927261971244,"score_spread":0.160991565380256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7019384890","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000035174922,0.0006431451,0.0000021586338,0.00023965546,0.00080196926,0.00035876202,0.00031270133,0.00015762662,0.9974488],"genre_scores_gemma":[0.0005001258,0.0011060436,0.0009899668,0.00028114038,0.0002865041,0.000019994826,0.00017268605,0.00019439874,0.9964491],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982561,0.00001711406,0.0010015677,0.00028670428,0.00006477017,0.00037377077],"domain_scores_gemma":[0.9981542,0.000050254595,0.0011029113,0.000507334,0.00004750081,0.00013776598],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00031737133,0.00035132605,0.0007088611,0.00017057636,0.000053864478,0.00011959518,0.0004069897,0.00052643433,0.72848344],"category_scores_gemma":[0.000093770424,0.00042242257,0.00021776518,0.000007590932,0.00010606004,4.6818272e-7,0.00010212854,0.00024925804,0.17454378],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014028077,0.000029485303,0.000026281603,0.00022258829,0.000066145796,0.00000259729,0.000063649946,0.000069867085,1.2703966e-8,0.0010668448,0.9970275,0.0014109854],"study_design_scores_gemma":[0.00037117748,0.000050498675,0.000014179428,0.00007549995,0.000012836262,0.0000125828565,0.000029986337,0.00013380496,6.338311e-7,0.00018952994,0.99865365,0.00045560976],"about_ca_topic_score_codex":0.008322161,"about_ca_topic_score_gemma":0.00073117943,"teacher_disagreement_score":0.55393964,"about_ca_system_score_codex":0.00008847278,"about_ca_system_score_gemma":0.000017672432,"threshold_uncertainty_score":0.99982274},"labels":[],"label_agreement":null},{"id":"W7019728060","doi":"","title":"How do student loans impact the American Dream? Exploring the implications of federal, private and parent PLUS student loan debt on homeownership","year":2023,"lang":"en","type":"dissertation","venue":"K-State Research Exchange (Kansas State University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Debt; Loan; Student loan; Real estate; Quarter (Canadian coin); Student debt; Pace; Payment; Bankruptcy","score_opus":0.15491346742943624,"score_gpt":0.332400684195075,"score_spread":0.17748721676563878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7019728060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98686194,0.00035319192,0.00005927822,0.0014700522,0.00033980378,0.0012517706,0.00076639745,0.00006236901,0.008835215],"genre_scores_gemma":[0.9387046,0.047228854,0.000011436383,0.000019433843,0.00008882943,0.00007222211,0.00027652545,0.00011718818,0.013480895],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9969164,0.00029968092,0.0005305948,0.0009093628,0.0002943868,0.0010495698],"domain_scores_gemma":[0.9969718,0.0007344661,0.0007845633,0.0009896369,0.00024161626,0.00027791676],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019010094,0.00046205314,0.0008407781,0.0016044149,0.0010475289,0.0008546905,0.0013566613,0.00008895486,0.000033186174],"category_scores_gemma":[0.00010588204,0.00037866356,0.00028858992,0.001581154,0.0004620537,0.0003699765,0.00039166556,0.0009097817,0.00007019385],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006280253,0.0022371362,0.27936935,0.0029651572,0.008423277,0.00053701195,0.3635351,0.007015641,0.00019316161,0.07213669,0.01100977,0.24629742],"study_design_scores_gemma":[0.0021186364,0.0015889887,0.8133815,0.00041799305,0.000106636195,0.0000041686158,0.113869704,0.00038378683,0.000104996485,0.009353527,0.057171077,0.0014990099],"about_ca_topic_score_codex":0.0027230142,"about_ca_topic_score_gemma":0.007383477,"teacher_disagreement_score":0.53401214,"about_ca_system_score_codex":0.0013680449,"about_ca_system_score_gemma":0.0001837287,"threshold_uncertainty_score":0.99986655},"labels":[],"label_agreement":null},{"id":"W7020066137","doi":"","title":"Is the dream still alive? Tracking homeownership amid&#13;\\nchanging economic and demographic conditions","year":2018,"lang":"en","type":"dissertation","venue":"Nottingham Trent University's Institutional Repository (Nottingham Trent Repository)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Debt; Unemployment; Census; Household debt; Recession; Unemployment rate; Quarter (Canadian coin); Loan; Economic indicator","score_opus":0.01906555962177261,"score_gpt":0.21351671553645546,"score_spread":0.19445115591468284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7020066137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79987764,0.0011309573,0.00013094352,0.00027127456,0.006912385,0.0006165547,0.0002794411,0.0002871375,0.19049364],"genre_scores_gemma":[0.97259337,0.000628499,0.00028323208,0.00012312226,0.0017781294,0.000027701684,0.0007163544,0.00012898081,0.023720615],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9948101,0.00016410934,0.0016877077,0.0020310627,0.00027702627,0.0010299835],"domain_scores_gemma":[0.99551064,0.00037393442,0.002437546,0.0010321417,0.00022865183,0.00041709843],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0008398826,0.0010648158,0.0012236624,0.0014819389,0.004175919,0.0008503635,0.0010729101,0.00088561187,0.00019992368],"category_scores_gemma":[0.00012223961,0.0011987663,0.0009149039,0.0005140971,0.00091127685,0.0009821682,0.00024023443,0.0010643501,0.00016809546],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031544475,0.0034642534,0.58583796,0.004037512,0.011604796,0.002591779,0.07457454,0.0053288196,0.0026972096,0.2385725,0.037710905,0.030425305],"study_design_scores_gemma":[0.0073327874,0.00090427167,0.23784934,0.0038098425,0.002442728,0.0010883752,0.014117662,0.018025167,0.006964631,0.005043604,0.6939737,0.008447862],"about_ca_topic_score_codex":0.0017579002,"about_ca_topic_score_gemma":0.0007005202,"teacher_disagreement_score":0.6562628,"about_ca_system_score_codex":0.0016990163,"about_ca_system_score_gemma":0.00054837944,"threshold_uncertainty_score":0.9990462},"labels":[],"label_agreement":null},{"id":"W7021013458","doi":"","title":"Morgantown MSA Economic Monitor June 2006","year":2006,"lang":"en","type":"article","venue":"The Research Repository @ WVU (West Virginia University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Index (typography); Cost of living; Liberian dollar; West virginia; Standard of living; Clothing; Goods and services; Price index; Order (exchange)","score_opus":0.02963634451590215,"score_gpt":0.2318477713407192,"score_spread":0.20221142682481708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7021013458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58838534,0.00019131807,0.000054070733,0.0010386206,0.0009081323,0.0002345871,0.00006369371,0.00008740553,0.40903682],"genre_scores_gemma":[0.9199051,0.0003837834,0.000084332154,0.000019372404,0.0010024224,0.00000362324,0.000017324817,0.000053053707,0.07853094],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99772716,0.00017676585,0.00046784518,0.00068157795,0.000100244986,0.00084638497],"domain_scores_gemma":[0.99824125,0.00029277147,0.00027136787,0.0009327927,0.00007677139,0.0001850514],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014738368,0.00025024978,0.00042548846,0.00078085536,0.0011631906,0.00033278792,0.0011292831,0.00019737454,0.00042664926],"category_scores_gemma":[0.000038161023,0.0002734226,0.00020138102,0.00052344834,0.0005381899,0.00053347525,0.00034715564,0.00060612743,0.0031511092],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007372664,0.00070698914,0.16541927,0.0001296984,0.00043653863,0.0007683516,0.0010898197,0.0037184923,0.002223767,0.7239354,0.09912073,0.0017136805],"study_design_scores_gemma":[0.0013001561,0.00012986809,0.033767555,0.000025876205,0.000025212536,0.000047399353,0.00063925365,0.0026382897,0.0018123024,0.0064656595,0.9524142,0.000734201],"about_ca_topic_score_codex":0.0046779704,"about_ca_topic_score_gemma":0.00052672334,"teacher_disagreement_score":0.8532935,"about_ca_system_score_codex":0.0010322509,"about_ca_system_score_gemma":0.00016032127,"threshold_uncertainty_score":0.9999718},"labels":[],"label_agreement":null},{"id":"W7028007219","doi":"","title":"Developing Land and Structure Price Indexes for Ottawa Condominium Apartments","year":2016,"lang":"en","type":"article","venue":"Research Showcase @ Carnegie Mellon University (Carnegie Mellon University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Price index; Real estate; Index (typography); Measure (data warehouse); Apartment","score_opus":0.08385591630709105,"score_gpt":0.265641599140435,"score_spread":0.18178568283334395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028007219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9027334,0.00036826346,0.0088901045,0.002020579,0.00071781216,0.0014153069,0.0011853754,0.00018509442,0.082484104],"genre_scores_gemma":[0.9775731,0.003424239,0.0016800298,0.00006299455,0.00020775209,0.0000015781841,0.00006163991,0.00007154593,0.016917111],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966159,0.00023012828,0.00043041154,0.0012893688,0.00018474215,0.0012494811],"domain_scores_gemma":[0.9971145,0.0010038216,0.00036017955,0.00066758913,0.00032649367,0.0005274221],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013873094,0.00043675423,0.00081134756,0.0017527775,0.0009996496,0.00018966195,0.0008791391,0.000442618,0.00022220246],"category_scores_gemma":[0.00034858228,0.000484718,0.000244593,0.0009541039,0.0006465694,0.001127319,0.0006696426,0.0004471569,0.0001034515],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0038141352,0.00042812733,0.21851486,0.0008745545,0.0014900523,0.0015118239,0.0024183714,0.0001499885,0.0027406213,0.73478484,0.017597826,0.015674803],"study_design_scores_gemma":[0.008298608,0.00033802935,0.0025247552,0.00014247351,0.00006879356,0.000027839584,0.0018689797,0.00049416436,0.0018148576,0.008446691,0.9748257,0.0011491405],"about_ca_topic_score_codex":0.00069331436,"about_ca_topic_score_gemma":0.0008135772,"teacher_disagreement_score":0.9572278,"about_ca_system_score_codex":0.0016729626,"about_ca_system_score_gemma":0.00036913852,"threshold_uncertainty_score":0.99976045},"labels":[],"label_agreement":null},{"id":"W7028132262","doi":"","title":"Essays on dynamics of the housing market : a thesis presented in fulfilment of the requirement for the degree of Doctor of Philosophy in Finance at Massey University, Albany, New Zealand","year":2021,"lang":"en","type":"dissertation","venue":"Massey Research Online (Massey University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Social connectedness; Economic rent; Immigration; Consumption (sociology); Financial crisis; Financial market; General equilibrium theory; Public housing","score_opus":0.10792673629735848,"score_gpt":0.2773911938453355,"score_spread":0.169464457547977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028132262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95412546,0.00026767654,0.000039080078,0.0029584442,0.0003823079,0.0014881584,0.0014353008,0.0000058531405,0.039297692],"genre_scores_gemma":[0.9495665,0.003989988,0.00035746815,0.000011691503,0.000058542737,0.000004628948,0.00020378098,0.00006319681,0.045744196],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99731755,0.00033061428,0.0009313794,0.0006099681,0.000302318,0.00050815754],"domain_scores_gemma":[0.9961253,0.0010639067,0.0013305149,0.00110327,0.00031231993,0.00006472442],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001672224,0.00030987867,0.0009476895,0.0012063208,0.00018799216,0.000022335007,0.0017377958,0.00034092765,0.000120223245],"category_scores_gemma":[0.00046902167,0.0002712664,0.0004837122,0.0019677272,0.00028361403,0.00015627976,0.0007174996,0.0006159066,0.0000010067632],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011762643,0.0038121839,0.7624136,0.004029051,0.0014436948,0.000060229315,0.0036218693,0.008283032,0.0008374684,0.19064601,0.007148513,0.005941685],"study_design_scores_gemma":[0.016613085,0.0014209835,0.76395684,0.00851567,0.00048123457,0.0000031958682,0.017224891,0.053995963,0.005493974,0.032512464,0.097683676,0.0020980374],"about_ca_topic_score_codex":0.003794113,"about_ca_topic_score_gemma":0.054945253,"teacher_disagreement_score":0.15813354,"about_ca_system_score_codex":0.0013708363,"about_ca_system_score_gemma":0.0007237009,"threshold_uncertainty_score":0.99997395},"labels":[],"label_agreement":null},{"id":"W7029194387","doi":"","title":"2010 Housing Report Available","year":2011,"lang":"en","type":"article","venue":"NPARC","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Agency (philosophy); Data collection","score_opus":0.07098589029898049,"score_gpt":0.20323326112963144,"score_spread":0.13224737083065097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7029194387","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14327408,0.000054181448,0.0008792116,0.0000911129,0.001015852,0.00006383506,0.000007654126,0.00007359895,0.85454047],"genre_scores_gemma":[0.9669534,0.0001507447,0.013295,0.00018699035,0.00018259455,0.000009058785,0.000007914969,0.000042940155,0.019171378],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988517,0.0000049993632,0.00048070322,0.0003472661,0.000015504591,0.00029983293],"domain_scores_gemma":[0.9992282,0.000012963368,0.00024914622,0.0004098068,0.00001605826,0.00008385177],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005946638,0.00011208014,0.0002583181,0.00012352098,0.000099252415,0.000048990165,0.00016963824,0.00009229193,0.01605815],"category_scores_gemma":[0.00007072537,0.00014182336,0.00008388941,0.000097805176,0.00004786588,0.00023027306,0.000058107165,0.000114379785,0.0074879825],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008633147,0.00036360766,0.5424182,0.00006331348,0.00014501697,0.00037900012,0.0019032691,0.000009036735,0.0006808363,0.22714227,0.21178888,0.015020265],"study_design_scores_gemma":[0.00070803956,0.0000778477,0.017766757,0.000020732012,0.000013875237,0.00012727703,0.00007361242,0.0024312877,0.0016362536,0.34398967,0.63225615,0.0008984796],"about_ca_topic_score_codex":0.00023330684,"about_ca_topic_score_gemma":0.00002670327,"teacher_disagreement_score":0.8353691,"about_ca_system_score_codex":0.00006130663,"about_ca_system_score_gemma":0.000021310416,"threshold_uncertainty_score":0.9932848},"labels":[],"label_agreement":null},{"id":"W7029457266","doi":"","title":"January 10, 2017 Finance and Facilities (F&amp;F) Committee Meeting","year":2017,"lang":"en","type":"article","venue":"UNM’s Digital Repository (University of New Mexico)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Commission; Work (physics); Citation; Quarter (Canadian coin)","score_opus":0.03928676637833892,"score_gpt":0.19767628925201552,"score_spread":0.1583895228736766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7029457266","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49584344,0.00034376304,0.00023242779,0.0001838949,0.00022604929,0.00006184545,0.00006732786,0.000025222651,0.503016],"genre_scores_gemma":[0.88216823,0.00034153913,0.0005679392,0.000013877034,0.000064945394,1.3637464e-7,0.000008358254,0.000012078355,0.11682286],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.999053,0.0000073435212,0.0002692339,0.0003840543,0.000039100323,0.00024723972],"domain_scores_gemma":[0.99854136,0.000056813882,0.00059302367,0.0006570105,0.000032873075,0.00011890769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014871199,0.00016285399,0.0004026661,0.00009792773,0.00075148715,0.0003548699,0.00052337686,0.00012247017,0.00005370605],"category_scores_gemma":[0.00009897382,0.00023991213,0.00013320832,0.00003211761,0.00034965246,0.0014797417,0.00030995783,0.00011477733,0.00017995415],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046281857,0.0002814615,0.7941208,0.00030348636,0.00036729287,0.00013419367,0.008531486,0.0002333424,0.00009921349,0.029526232,0.12414862,0.041791085],"study_design_scores_gemma":[0.0013487488,0.00011966425,0.111041576,0.000116078096,0.000019432038,0.000038093825,0.0014285184,0.0008448795,0.00007590279,0.018122138,0.86615455,0.00069040316],"about_ca_topic_score_codex":0.0012793691,"about_ca_topic_score_gemma":0.0001594336,"teacher_disagreement_score":0.74200594,"about_ca_system_score_codex":0.00007537068,"about_ca_system_score_gemma":0.00004503845,"threshold_uncertainty_score":0.9783333},"labels":[],"label_agreement":null},{"id":"W7029774306","doi":"","title":"L'effet de la richesse immobilière sur la consommation : évidence pour le Canada","year":2013,"lang":"fr","type":"other","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Tourism; Order (exchange); Context (archaeology)","score_opus":0.009316257701958163,"score_gpt":0.1821577403567273,"score_spread":0.17284148265476915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7029774306","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061727542,0.0019075272,0.0027823646,0.0022140795,0.0011689404,0.00037653593,0.00013500798,0.0000516874,0.9296363],"genre_scores_gemma":[0.17940228,0.002692187,0.0026912377,0.00046416308,0.00035669503,0.000058442096,0.000040807354,0.00023427545,0.8140599],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975544,0.00017222746,0.00089826377,0.0006864321,0.00004142545,0.00064723106],"domain_scores_gemma":[0.9970206,0.0013646764,0.0007606519,0.0005917191,0.000050069288,0.00021230312],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011855003,0.00047009985,0.0008950373,0.0002400825,0.00014197822,0.00039097873,0.0005134476,0.00074533845,0.028794002],"category_scores_gemma":[0.00052273157,0.00062650285,0.00017265663,0.00015938317,0.00021786049,0.00031935752,0.00012322806,0.0004677762,0.0022255064],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016523656,0.00022685967,0.08104434,0.0004365456,0.00025375333,0.0000350159,0.0003228053,0.0011093565,0.000016415572,0.22007905,0.667773,0.028686306],"study_design_scores_gemma":[0.0006377678,0.00001653299,0.01582418,0.00014227159,0.000022018296,0.000028281835,0.00020083952,0.024786128,0.000043234748,0.003848125,0.95364875,0.0008019005],"about_ca_topic_score_codex":0.8454019,"about_ca_topic_score_gemma":0.58629805,"teacher_disagreement_score":0.28587568,"about_ca_system_score_codex":0.0011025153,"about_ca_system_score_gemma":0.0021998864,"threshold_uncertainty_score":0.99961865},"labels":[],"label_agreement":null},{"id":"W7031381808","doi":"","title":"Risk and Recovery","year":2007,"lang":"en","type":"article","venue":"Insecta mundi","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Recession; Economic recovery; Durable good; Financial crisis; Job loss; Consumer spending; Slow growth; Economic slowdown; Quarter (Canadian coin)","score_opus":0.019431283568571333,"score_gpt":0.19940063000464062,"score_spread":0.1799693464360693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7031381808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75680447,0.00041239144,0.0021055804,0.000044198827,0.00050819124,0.000053254436,0.000022644876,0.000036435224,0.24001285],"genre_scores_gemma":[0.9970632,0.0010941068,0.00087290077,0.00017903977,0.00017268941,0.0000018332855,0.0000043802356,0.000021329135,0.00059049355],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991151,0.0000060436714,0.00035036635,0.00025479693,0.000010868335,0.00026279196],"domain_scores_gemma":[0.9994226,0.00010093025,0.00017475421,0.0002152279,0.000007356362,0.000079098565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010059888,0.000097047785,0.0002002405,0.00017058801,0.000113358605,0.00007483685,0.00009883035,0.00009266254,0.00023032834],"category_scores_gemma":[0.00013120039,0.00012282598,0.000054386852,0.00009456258,0.000045568653,0.00018234615,0.000048499693,0.00013186575,0.00047372078],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039348877,0.000026139183,0.95149654,0.000008968513,0.000023975768,0.0000055581745,0.0002892019,0.0000071383415,0.000011508452,0.017680205,0.0005740542,0.029837381],"study_design_scores_gemma":[0.0005767337,0.0000925858,0.7514939,0.00000790396,0.00000599836,0.000016758431,0.000015663456,0.0005028033,0.000018065444,0.08302873,0.16385902,0.00038186336],"about_ca_topic_score_codex":0.004467842,"about_ca_topic_score_gemma":0.0019182451,"teacher_disagreement_score":0.24025877,"about_ca_system_score_codex":0.00006523204,"about_ca_system_score_gemma":0.000006903252,"threshold_uncertainty_score":0.67540705},"labels":[],"label_agreement":null},{"id":"W70317893","doi":"","title":"Are Recent Increases of Residential Property Prices in Vienna and Austria Justified by Fundamentals","year":2013,"lang":"en","type":"article","venue":"Monetary Policy & the Economy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Economics; Renting; Residential property; Equity (law); Price index; House price; Monetary economics; Quarter (Canadian coin); Loan; Finance; Macroeconomics; Geography; Economic geography","score_opus":0.036128064432663275,"score_gpt":0.2204109155686453,"score_spread":0.18428285113598203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W70317893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9580485,0.0013056447,0.000010500502,0.0044689383,0.00010674005,0.0005700571,0.00011727967,0.000017858372,0.03535444],"genre_scores_gemma":[0.99613875,0.0018646962,0.000099660036,0.00074711005,0.00016377514,0.0000732123,0.000025707906,0.000025090132,0.0008620068],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983607,0.00003239571,0.00083676423,0.0003874936,0.000018420356,0.00036423685],"domain_scores_gemma":[0.99874055,0.00007602991,0.0006865696,0.00037572588,0.000016191656,0.00010490551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005142641,0.0002005757,0.0005163465,0.0002620595,0.000103025406,0.00014532596,0.00030464906,0.000095638665,0.0007387269],"category_scores_gemma":[0.00009240922,0.00016388361,0.00006967376,0.00017628916,0.00017091543,0.0004964248,0.00015002768,0.00014156544,0.00024873033],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002443375,0.0006284181,0.879501,0.00029728515,0.00037955356,0.000005154704,0.0020411403,0.0004220087,0.0002884245,0.007932575,0.081566565,0.026693542],"study_design_scores_gemma":[0.0034176346,0.00019234532,0.518953,0.00010780688,0.000047026526,0.000018013869,0.0013955678,0.007165145,0.00058182486,0.057414267,0.40941274,0.0012945789],"about_ca_topic_score_codex":0.028972363,"about_ca_topic_score_gemma":0.0006468085,"teacher_disagreement_score":0.36054796,"about_ca_system_score_codex":0.00013571484,"about_ca_system_score_gemma":0.00003121684,"threshold_uncertainty_score":0.9774938},"labels":[],"label_agreement":null},{"id":"W7038465714","doi":"","title":"House Price Dynamics in Izmir's Neighborhoods: a Comprehensive Approach","year":2021,"lang":"tr","type":"dissertation","venue":"İYTE (İZMİR YÜKSEK TEKNOLOJİ ENSTİTÜSÜ)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Panel data; Work (physics); Quarter (Canadian coin); Paid work; Cycling","score_opus":0.0247524151419931,"score_gpt":0.22390666794292666,"score_spread":0.19915425280093355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7038465714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7135888,0.009284828,0.0019720064,0.00054857944,0.008629941,0.0027765385,0.0018250379,0.0006994974,0.2606748],"genre_scores_gemma":[0.9485717,0.021487424,0.006629373,0.0009744524,0.0015020947,0.00052452594,0.008035435,0.0014802205,0.010794782],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9866149,0.0002900447,0.0050162915,0.0045851413,0.0003693117,0.0031243116],"domain_scores_gemma":[0.99163306,0.0007401767,0.0036068226,0.0026021686,0.00061202113,0.00080572616],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.0014041938,0.0026669935,0.0050732237,0.0028615682,0.00076048233,0.0014235129,0.002283984,0.0033357013,0.0007892902],"category_scores_gemma":[0.0007821049,0.0037373363,0.0014714124,0.0026774702,0.0005028713,0.0012329419,0.00070339185,0.0037060294,0.002334586],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0055209855,0.015364877,0.410781,0.017030422,0.008828777,0.0029181908,0.046559352,0.025091609,0.00037147003,0.36182025,0.018078774,0.0876343],"study_design_scores_gemma":[0.01801638,0.0013235927,0.18370357,0.0035670747,0.0010846996,0.0004952346,0.053773098,0.5189041,0.00028731665,0.018180449,0.18232578,0.018338716],"about_ca_topic_score_codex":0.003103106,"about_ca_topic_score_gemma":0.005691155,"teacher_disagreement_score":0.49381247,"about_ca_system_score_codex":0.0040630144,"about_ca_system_score_gemma":0.00085788395,"threshold_uncertainty_score":0.9997602},"labels":[],"label_agreement":null},{"id":"W7039556133","doi":"","title":"New-home sales climbed in June to more than 8-year high","year":2016,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pace; Unemployment; Unemployment rate; Job loss; West virginia; Quarter (Canadian coin)","score_opus":0.014428601756255748,"score_gpt":0.22034835412180853,"score_spread":0.2059197523655528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7039556133","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006669276,0.00021966036,0.0132813165,0.0009465826,0.0033763673,0.0008628206,0.00213213,0.00029073356,0.97222114],"genre_scores_gemma":[0.033851244,0.0006448259,0.0059234113,0.00041798793,0.0014098405,0.00007967935,0.0004701147,0.00092548056,0.95627743],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9955548,0.00008880831,0.0014274924,0.0016800431,0.00010240489,0.0011464212],"domain_scores_gemma":[0.99735355,0.000244444,0.00077483314,0.0010619655,0.000011977919,0.0005532368],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00037523988,0.0009141174,0.0016228203,0.0022708226,0.00002342685,0.00021438357,0.0016623839,0.00034120725,0.02191014],"category_scores_gemma":[0.00009648046,0.00096477143,0.0004966572,0.00016862918,0.00023446551,0.00014872856,0.0009812672,0.0006751885,0.03884012],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003406532,0.00009643511,0.017868666,0.00008157143,0.0002404211,0.000059997354,0.0019431462,0.000008398819,0.0000131868255,0.0440017,0.9346352,0.0007106272],"study_design_scores_gemma":[0.0015764415,0.00017278241,0.005364882,0.0009140293,0.000015703336,0.000012093874,0.000041588475,0.00029907582,0.00002358313,0.026758112,0.96358764,0.0012340914],"about_ca_topic_score_codex":0.02907092,"about_ca_topic_score_gemma":0.06502581,"teacher_disagreement_score":0.03595489,"about_ca_system_score_codex":0.00022763024,"about_ca_system_score_gemma":0.00008378292,"threshold_uncertainty_score":0.9992803},"labels":[],"label_agreement":null},{"id":"W7042622473","doi":"","title":"Portland : Portland Saturday Market permanent home study","year":2009,"lang":"en","type":"book","venue":"Scholars' Bank (University of Oregon)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Prospection; Work (physics); Quarter (Canadian coin); Home study","score_opus":0.014148498639873882,"score_gpt":0.17693821486924113,"score_spread":0.16278971622936725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7042622473","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11063555,0.0008241131,0.000036249054,0.00021249084,0.0005615694,0.00061341794,0.00030644497,0.00008436138,0.8867258],"genre_scores_gemma":[0.19268614,0.0020945307,0.0004417795,0.00012168877,0.0003076137,7.440555e-7,0.0004230726,0.00010734079,0.8038171],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.997569,0.000047479494,0.0006981931,0.0010255174,0.00012762056,0.000532156],"domain_scores_gemma":[0.9973707,0.00005758873,0.0011977267,0.0010260424,0.00009458267,0.00025332253],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012718079,0.00052624143,0.0014636259,0.0008581492,0.00033526524,0.00013414898,0.00095519534,0.000617806,0.0058724433],"category_scores_gemma":[0.000036526344,0.00075914,0.00048471466,0.00018835491,0.00016972207,0.00071459234,0.00029202946,0.0009378617,0.0007825164],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011870376,0.0020242436,0.26300207,0.00062396075,0.0023781874,0.0017915983,0.0058105784,0.00006959124,0.000003841303,0.02969918,0.6570096,0.036400106],"study_design_scores_gemma":[0.002752416,0.00045082447,0.21271119,0.00012549399,0.00019129932,0.00003146714,0.00046895797,0.00010010603,4.1906063e-7,0.022685036,0.7591874,0.0012953988],"about_ca_topic_score_codex":0.00017675258,"about_ca_topic_score_gemma":0.00035593688,"teacher_disagreement_score":0.10217778,"about_ca_system_score_codex":0.0005217864,"about_ca_system_score_gemma":0.00022333441,"threshold_uncertainty_score":0.99999547},"labels":[],"label_agreement":null},{"id":"W7042938790","doi":"","title":"Restriction on Foreign Buyers and Investment in Vancouver Additional property transfer tax and its impact on foreign buyer and housing market","year":2017,"lang":"en","type":"other","venue":"eScholarship@McGill (McGill)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Foreign direct investment; Property (philosophy); Transfer (computing); Property market","score_opus":0.02535128590142824,"score_gpt":0.2133587874697288,"score_spread":0.18800750156830057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7042938790","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13151424,0.00031868534,5.7915867e-7,0.000016957696,0.00034994117,0.0008141803,0.009569303,0.000072474955,0.8573436],"genre_scores_gemma":[0.9213054,0.006541764,0.00028591935,0.0006295959,0.00018340319,0.00018221677,0.00026922202,0.0006920567,0.06991041],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973106,0.00008879249,0.0006433385,0.0012331931,0.00010984409,0.0006142426],"domain_scores_gemma":[0.9985408,0.00016669305,0.00045375247,0.00049845275,0.000027382088,0.00031290494],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008459949,0.0007161416,0.0009397136,0.0009776871,0.00053388585,0.0001961887,0.00022607855,0.00070404116,0.0020977205],"category_scores_gemma":[0.00026360582,0.00066097773,0.00015545911,0.00013275818,0.00012663598,0.0005751973,0.00010591467,0.0007512703,0.00007120419],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029688925,0.001147686,0.006949121,0.0014524407,0.0014682509,0.00027728998,0.0000340079,0.00022468757,0.000117728065,0.7217364,0.09656315,0.16706038],"study_design_scores_gemma":[0.0030305404,0.00057130744,0.0054288516,0.0010330336,0.000052775253,0.000019080366,0.000027785787,0.00081757375,0.000074362855,0.04790718,0.93952125,0.0015162313],"about_ca_topic_score_codex":0.00085157127,"about_ca_topic_score_gemma":0.0020983147,"teacher_disagreement_score":0.84295815,"about_ca_system_score_codex":0.0007299037,"about_ca_system_score_gemma":0.000031002182,"threshold_uncertainty_score":0.99958414},"labels":[],"label_agreement":null},{"id":"W7042947060","doi":"","title":"In Q2 2021, the rise in house prices continued : House price index - second quarter 2021","year":2021,"lang":"en","type":"article","venue":"Gallica (Bibliothèque nationale de France)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Index (typography); Power (physics); House price","score_opus":0.012000963271595944,"score_gpt":0.21528155155280987,"score_spread":0.20328058828121393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7042947060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9168346,0.0061248685,0.0009439866,0.0062422147,0.00062411843,0.00043758404,0.00010300849,0.000056487297,0.068633124],"genre_scores_gemma":[0.9880191,0.0039719185,0.0006626602,0.0013754119,0.0004614285,0.00014384564,0.000012699854,0.00008780717,0.0052650967],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976725,0.00008473683,0.0009398546,0.0006466146,0.00009847303,0.0005578487],"domain_scores_gemma":[0.99838126,0.00051371957,0.00038708674,0.0005037414,0.000110454435,0.000103756305],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015055877,0.00024512617,0.0005119283,0.0014935429,0.00011667564,0.0004340517,0.000461344,0.0002639299,0.006895348],"category_scores_gemma":[0.0004933352,0.00027977728,0.00014851984,0.0029114296,0.00008529286,0.0009866314,0.00008973906,0.0005414524,0.00052125065],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007987207,0.00055757695,0.93653125,0.00008908461,0.00008504391,0.00008939605,0.0028456862,0.0016907546,0.00010277348,0.025060024,0.031795602,0.0010729688],"study_design_scores_gemma":[0.0017232149,0.000017311055,0.4593749,0.000037690435,0.000003502871,0.000012594476,0.00012687792,0.005994,0.000097836964,0.013332864,0.5188679,0.00041125793],"about_ca_topic_score_codex":0.00024602286,"about_ca_topic_score_gemma":0.0038010255,"teacher_disagreement_score":0.48707235,"about_ca_system_score_codex":0.00037074654,"about_ca_system_score_gemma":0.00030158163,"threshold_uncertainty_score":0.9999654},"labels":[],"label_agreement":null},{"id":"W7043074827","doi":"","title":"In Q2 2021, the Housing Rent Reference Index increased by 0.42% over a year : Rent Reference Index - second quarter 2021","year":2021,"lang":"fr","type":"article","venue":"Gallica (Bibliothèque nationale de France)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Quarter (Canadian coin); Power index; Power (physics); Price index","score_opus":0.016513715894522954,"score_gpt":0.2293724049077735,"score_spread":0.21285868901325056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7043074827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81520385,0.03137461,0.0022299543,0.015268729,0.0025165903,0.0007032641,0.0017578019,0.000041368912,0.13090385],"genre_scores_gemma":[0.94317716,0.024892498,0.0005663656,0.002621908,0.0009162249,0.00012841234,0.00032616014,0.00010092575,0.027270338],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.995596,0.00029391437,0.0015333869,0.0012695249,0.0002648267,0.0010423289],"domain_scores_gemma":[0.996976,0.0007315737,0.0007806871,0.0009587781,0.00029432212,0.00025862313],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018931275,0.00052241347,0.0008540035,0.0014009672,0.0003199297,0.0009469196,0.00073253777,0.0007717362,0.040007807],"category_scores_gemma":[0.00058172375,0.00064913527,0.00024545606,0.003200397,0.00025229683,0.0013443395,0.00024426015,0.0014039122,0.0006259293],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023542553,0.0011098468,0.6792717,0.00030404964,0.0002961535,0.00008755091,0.001345328,0.001362361,0.00028350734,0.03689789,0.27130264,0.0075035477],"study_design_scores_gemma":[0.001962152,0.000047815043,0.20523152,0.0002860925,0.000018935212,0.000018306317,0.0001560732,0.011466569,0.000111810754,0.008346713,0.7715669,0.000787097],"about_ca_topic_score_codex":0.0017387979,"about_ca_topic_score_gemma":0.0056492495,"teacher_disagreement_score":0.5002643,"about_ca_system_score_codex":0.0013069275,"about_ca_system_score_gemma":0.0009454293,"threshold_uncertainty_score":0.999596},"labels":[],"label_agreement":null},{"id":"W7044301016","doi":"","title":"What is your home worth now in Landmark, Manitoba?","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Estate; Single-family detached home; Market research","score_opus":0.013428026011267288,"score_gpt":0.17989219554135366,"score_spread":0.16646416953008636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7044301016","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005643788,0.0007576754,2.1523874e-7,0.0002898253,0.0015637036,0.0003046091,0.00026809398,0.00019486352,0.9960566],"genre_scores_gemma":[0.0007737228,0.012948854,0.00016259987,0.00029806836,0.00021810862,0.000017574464,0.00009154258,0.0003093553,0.9851802],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981317,0.000017019653,0.0010570074,0.00032353916,0.00007123604,0.000399534],"domain_scores_gemma":[0.9985346,0.00006987917,0.00083444105,0.00043733962,0.000028604394,0.0000951366],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004516169,0.0003330998,0.0007220374,0.00031278038,0.000038346996,0.000185756,0.0003578121,0.00047789392,0.22038613],"category_scores_gemma":[0.000049411763,0.0004160551,0.00019252983,0.00002024881,0.00006569691,0.0000013780453,0.00010510158,0.00028431258,0.08248541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033935783,0.000029448678,0.00066442456,0.00022999012,0.000050946543,0.000015156535,0.00019962448,0.00008779819,2.889261e-9,0.000096395655,0.9961581,0.0024341363],"study_design_scores_gemma":[0.00054082274,0.000038373866,0.00029251882,0.0002725855,0.000009395945,0.000009447453,0.00019587837,0.00008331695,2.505085e-7,0.00019493236,0.99791515,0.00044734718],"about_ca_topic_score_codex":0.008658989,"about_ca_topic_score_gemma":0.033590358,"teacher_disagreement_score":0.13790073,"about_ca_system_score_codex":0.00014459506,"about_ca_system_score_gemma":0.000016564789,"threshold_uncertainty_score":0.9998291},"labels":[],"label_agreement":null},{"id":"W7066548081","doi":"","title":"The Impact of Foreign Migration to Canada on REIT Operating Performance","year":2024,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate investment trust; Real estate; Investment (military); Estate; Foreign direct investment; International investment; Operational risk; Multinational corporation","score_opus":0.02576458033002757,"score_gpt":0.25078313841636124,"score_spread":0.22501855808633367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7066548081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6122517,0.000098314566,0.0000017709484,0.00012645371,0.0006118777,0.00025514362,0.000028268796,0.000014122249,0.38661233],"genre_scores_gemma":[0.94773406,0.00045546686,0.0000050585945,0.0000045159927,0.00023520761,0.000004973698,0.000057500143,0.000047012065,0.05145618],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981543,0.00007385253,0.0004936369,0.00056618033,0.0001413823,0.00057065365],"domain_scores_gemma":[0.998644,0.00022563586,0.00026589216,0.00055491115,0.00012425237,0.00018534313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008313123,0.00024165909,0.00041827877,0.00079238083,0.00076679024,0.0002629459,0.00065050693,0.00018193532,0.000032433254],"category_scores_gemma":[0.00012650217,0.00023676011,0.00022110487,0.00077367795,0.00006469116,0.00014094095,0.00008587176,0.00074686855,0.00008086693],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0058848755,0.0003980168,0.5279036,0.0020184366,0.0032909175,0.00092453754,0.008016814,0.020507881,0.0023396923,0.31364602,0.09561626,0.019452933],"study_design_scores_gemma":[0.001958906,0.0063289646,0.60267186,0.0019000452,0.00012704749,0.00003593277,0.016727824,0.04743069,0.02750776,0.0124624325,0.2790772,0.0037713277],"about_ca_topic_score_codex":0.7876266,"about_ca_topic_score_gemma":0.85577154,"teacher_disagreement_score":0.3354824,"about_ca_system_score_codex":0.0026873841,"about_ca_system_score_gemma":0.0016546658,"threshold_uncertainty_score":0.96547973},"labels":[],"label_agreement":null},{"id":"W7067819041","doi":"","title":"Modeling the Housing Market’s Decline: How Much, How Fast, and What People Value","year":2008,"lang":"en","type":"article","venue":"Scholarly Commons (University of the Pacific)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Real estate; Value (mathematics); Falling (accident); Hedonic regression; House price; Market value; Affect (linguistics)","score_opus":0.030819420065761764,"score_gpt":0.17248432902195102,"score_spread":0.14166490895618924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067819041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9488576,0.0008698119,0.006732922,0.025663398,0.00047033755,0.0002019956,0.000042205433,0.000039255807,0.017122466],"genre_scores_gemma":[0.99408203,0.0030528787,0.0010709958,0.00009962872,0.000046653713,3.7707474e-7,0.0000032060175,0.00002391683,0.0016202938],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990136,0.00009208852,0.00017299304,0.00034794523,0.0000667742,0.00030659302],"domain_scores_gemma":[0.9987357,0.00011374559,0.00026490842,0.000731368,0.000059860176,0.000094408715],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00091271667,0.00017833577,0.00038195058,0.00017404108,0.0014729985,0.00077297055,0.00080787786,0.00013689195,0.0000441654],"category_scores_gemma":[0.00010537889,0.00017650049,0.00021946146,0.00032868882,0.00026536803,0.0033163445,0.0005930003,0.00045364987,0.00001914725],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004997674,0.00049223274,0.8320454,0.00021468241,0.00082769996,0.000044594384,0.048811667,0.009462786,0.00022153517,0.05327816,0.022280976,0.031820554],"study_design_scores_gemma":[0.002560569,0.00010704609,0.09951122,0.0001811058,0.00012986141,0.00011411727,0.09364078,0.7223957,0.000037058646,0.026223173,0.053753134,0.001346196],"about_ca_topic_score_codex":0.000613953,"about_ca_topic_score_gemma":0.0010023395,"teacher_disagreement_score":0.7325341,"about_ca_system_score_codex":0.00010077901,"about_ca_system_score_gemma":0.000039334616,"threshold_uncertainty_score":0.99982697},"labels":[],"label_agreement":null},{"id":"W7069290725","doi":"","title":"Page 232","year":2011,"lang":"en","type":"article","venue":"Pittsburg State University Digital Commons (Pittsburg State University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ledger; Period (music); Register (sociolinguistics); Quarter (Canadian coin)","score_opus":0.032680935083892616,"score_gpt":0.16474330497201545,"score_spread":0.13206236988812284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7069290725","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43861216,0.00007283061,0.009911201,0.00012750513,0.0004422391,0.00034439765,0.0009758402,0.000424157,0.54908967],"genre_scores_gemma":[0.9721643,0.0012416772,0.0002780577,0.000079564634,0.000038683247,2.1519035e-7,0.000089285866,0.00008836231,0.02601987],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99705285,0.00006352201,0.0006023649,0.0010781942,0.000102531805,0.0011005607],"domain_scores_gemma":[0.9975833,0.00013621195,0.0005918997,0.00096639775,0.00012742651,0.00059473474],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00029334615,0.0005759347,0.0008625931,0.0012719703,0.00061937125,0.00025155637,0.0013198847,0.00020104878,0.0006802345],"category_scores_gemma":[0.000051837786,0.00084739237,0.0004758149,0.0011795966,0.00048816172,0.0028457425,0.00075645477,0.00050847913,0.0011673988],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032954912,0.0029052454,0.51274896,0.00026010443,0.0019352295,0.006120556,0.016519621,0.00068652444,0.00007072312,0.39528435,0.02810071,0.03207251],"study_design_scores_gemma":[0.0029897657,0.00034649286,0.016285632,0.00004878394,0.000066383625,0.00002491318,0.003058775,0.0005424161,0.000058957343,0.05861765,0.91600215,0.0019580733],"about_ca_topic_score_codex":0.0010259147,"about_ca_topic_score_gemma":0.00020892882,"teacher_disagreement_score":0.8879014,"about_ca_system_score_codex":0.00078291784,"about_ca_system_score_gemma":0.00011435587,"threshold_uncertainty_score":0.9996103},"labels":[],"label_agreement":null},{"id":"W7070548018","doi":"","title":"The Real Estate Geek","year":2003,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cash; Debt; Real estate; Investment (military); Cash flow; Income tax; Return on investment","score_opus":0.008214002440410186,"score_gpt":0.1673714752105957,"score_spread":0.15915747277018552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070548018","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000037832717,0.00026943628,5.81778e-7,0.0001409386,0.0007864164,0.00025319858,0.00017487572,0.00008972523,0.99824697],"genre_scores_gemma":[0.00011161391,0.016373653,0.00041661397,0.00012173319,0.00012499266,0.0000122258725,0.000060232658,0.00014437779,0.98263454],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984529,0.00002643011,0.0009005196,0.0002143133,0.000055034863,0.00035080104],"domain_scores_gemma":[0.9982891,0.00010012117,0.001024565,0.00046472135,0.000034295655,0.00008721297],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005298856,0.00026993125,0.0004596359,0.0000756698,0.0001276168,0.00012310792,0.00035476213,0.00030773654,0.21085037],"category_scores_gemma":[0.000104487466,0.0002671168,0.00017762797,0.0000070231354,0.00014484806,2.1957827e-7,0.000055967343,0.00021812494,0.03669318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022720233,0.000015659667,0.000018393213,0.00009560568,0.000056326997,0.0000031001234,0.0000806922,0.000065772714,3.9951504e-9,0.0011326794,0.9932435,0.005265504],"study_design_scores_gemma":[0.00029067544,0.00004156799,0.00000986263,0.0000322045,0.000010559232,0.00001047036,0.000050113256,0.00004249614,3.5727214e-7,0.00019343598,0.9990174,0.0003008609],"about_ca_topic_score_codex":0.008655386,"about_ca_topic_score_gemma":0.0029624251,"teacher_disagreement_score":0.17415719,"about_ca_system_score_codex":0.000074123986,"about_ca_system_score_gemma":0.00002018844,"threshold_uncertainty_score":0.9999781},"labels":[],"label_agreement":null},{"id":"W7071890737","doi":"","title":"Türkiye'de ipotekli konut kredilerini etkileyen faktörlerin zaman serisi analizi","year":2019,"lang":"tr","type":"dissertation","venue":"eArsiv - Adu (Adnan Menderes University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Quarter (Canadian coin); Urban area; Paid work","score_opus":0.019358162319443144,"score_gpt":0.19711167613749447,"score_spread":0.17775351381805132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071890737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63813394,0.00061854266,0.00022164572,0.00019986703,0.0031331684,0.0006949865,0.00068309315,0.00016041016,0.35615435],"genre_scores_gemma":[0.8413481,0.012158863,0.0007656571,0.00018681205,0.00058363617,0.0000051662378,0.0015168005,0.0003012823,0.14313368],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9944905,0.0001407274,0.001325067,0.0021344721,0.00017735126,0.0017318607],"domain_scores_gemma":[0.9958603,0.00015770433,0.0018083384,0.0013160026,0.00018773809,0.00066995004],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00078093464,0.0012023553,0.002081772,0.002516162,0.0007195759,0.0005777768,0.0018312385,0.0012941646,0.004907387],"category_scores_gemma":[0.00011402028,0.0018811226,0.0009757207,0.0011132595,0.00020951711,0.0012211915,0.00044099728,0.0013144874,0.0034262135],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007348387,0.0034532344,0.38276824,0.0067329314,0.010447476,0.002955794,0.059256613,0.0081213955,0.00045184817,0.33335215,0.092114404,0.09299753],"study_design_scores_gemma":[0.00417225,0.00060877437,0.06733234,0.0005745181,0.00040139764,0.000033708162,0.023845017,0.0066471477,0.00019512078,0.0018646702,0.8905825,0.0037425754],"about_ca_topic_score_codex":0.0017901767,"about_ca_topic_score_gemma":0.0012941422,"teacher_disagreement_score":0.79846805,"about_ca_system_score_codex":0.00174225,"about_ca_system_score_gemma":0.0005607251,"threshold_uncertainty_score":0.9983637},"labels":[],"label_agreement":null},{"id":"W7082495679","doi":"","title":"Barrie, I.J.","year":2017,"lang":"de","type":"other","venue":"VU Research Portal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","score_opus":0.1024688021485628,"score_gpt":0.3301456242672386,"score_spread":0.2276768221186758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7082495679","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001394294,0.006723595,0.000042283813,0.00046811902,0.004399814,0.0007040342,0.00093984144,0.000070256305,0.98525774],"genre_scores_gemma":[0.059731692,0.026125645,0.000226976,0.00006581375,0.0047569564,0.000080057616,0.00031606975,0.0006653749,0.9080314],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99498326,0.00011269121,0.0010469139,0.0016369607,0.00022935297,0.0019908177],"domain_scores_gemma":[0.995201,0.00020059118,0.0010465244,0.0027185522,0.0001312052,0.0007021372],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0053675408,0.000600536,0.0013958988,0.0016762489,0.0010308707,0.0012040145,0.002066933,0.0011820523,0.11470754],"category_scores_gemma":[0.0014710079,0.0007766989,0.0004947681,0.0002580201,0.0009899363,0.0003181139,0.00077261653,0.0019199655,0.09748339],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004866681,0.00016218796,0.013605854,0.00022161035,0.00040827174,0.0003642588,0.0001494271,0.0000034391635,0.0000020224406,0.049517825,0.922706,0.012810409],"study_design_scores_gemma":[0.0006238583,0.00013215585,0.001375199,0.00022958795,0.0000139364965,0.000010192998,0.000049904098,0.0004562441,0.0000058954674,0.005796532,0.99048716,0.0008193064],"about_ca_topic_score_codex":0.0011499975,"about_ca_topic_score_gemma":0.0012237636,"teacher_disagreement_score":0.07722635,"about_ca_system_score_codex":0.00025138858,"about_ca_system_score_gemma":0.00052156823,"threshold_uncertainty_score":0.9998328},"labels":[],"label_agreement":null},{"id":"W7083593412","doi":"10.1016/j.ifacol.2025.09.006","title":"Empirical analysis of factors contributing to deviations from routing guidelines in order picking: a case study","year":2025,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Future Earth","funders":"Bijzonder Onderzoeksfonds UGent; Universiteit Hasselt","keywords":"Aisle; Order (exchange); Routing (electronic design automation); Order picking; Logistic regression; Empirical research; Regression analysis; Variation (astronomy)","score_opus":0.0848578273687932,"score_gpt":0.3501795465119575,"score_spread":0.26532171914316427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083593412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98741394,0.00012251973,0.00913703,0.0010098551,0.00020425243,0.0002857686,0.0003438479,0.000032132168,0.0014506787],"genre_scores_gemma":[0.98423696,0.0000141209575,0.0150559265,0.00039593913,0.00005625585,0.000011328772,0.000079207726,0.000015682912,0.00013459989],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99760085,0.00003717132,0.001427502,0.0005169219,0.00003565521,0.0003819051],"domain_scores_gemma":[0.99868524,0.0003771457,0.00034744877,0.0003561393,0.00015734203,0.000076674136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000988877,0.00019874355,0.00092145946,0.0009942538,0.0001465179,0.000066150424,0.00019357297,0.00010959663,0.0001604863],"category_scores_gemma":[0.0023252347,0.0002240514,0.00016362121,0.0026380797,0.000020771833,0.000109708155,0.00014971259,0.00015526253,0.000014090751],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000133810845,0.00019423175,0.9887761,0.000004246121,0.00054682005,0.00003140255,0.0029827156,0.005930471,0.000011195824,0.0002205908,0.0000047448125,0.0012841383],"study_design_scores_gemma":[0.0014697516,0.00006644909,0.8113074,0.00004224966,0.00037245807,0.0000019510567,0.012209388,0.17322344,0.00002017186,0.00022307446,0.0006139815,0.00044973262],"about_ca_topic_score_codex":0.01764532,"about_ca_topic_score_gemma":0.028363615,"teacher_disagreement_score":0.1774687,"about_ca_system_score_codex":0.00020664184,"about_ca_system_score_gemma":0.00006582024,"threshold_uncertainty_score":0.98936623},"labels":[],"label_agreement":null},{"id":"W7083594547","doi":"10.61091/um124-07","title":"GDDs with two groups of unequal sizes and block size four","year":2025,"lang":"en","type":"article","venue":"Utilitas Mathematica","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Block size; Block (permutation group theory); Group (periodic table); Block structure","score_opus":0.020704122885116232,"score_gpt":0.22233399287417654,"score_spread":0.20162986998906032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083594547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75930727,0.00030950434,0.0012737827,0.00036456055,0.00009058082,0.0001768633,0.000034779263,0.000034718138,0.23840794],"genre_scores_gemma":[0.9922349,0.00007462937,0.0065837614,0.00007887065,0.000020659227,0.000013271898,0.0000013045094,0.000018047731,0.00097458897],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988889,0.0000114519935,0.00056931534,0.0002839815,0.000023808556,0.00022255759],"domain_scores_gemma":[0.99889815,0.00045756382,0.00020847336,0.00036027102,0.000022815206,0.00005270166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005304505,0.00015178106,0.00052625214,0.00012285689,0.00006584829,0.000042445958,0.00015220151,0.000062222585,0.00024122107],"category_scores_gemma":[0.00028907493,0.00014906317,0.00006563525,0.00016477951,0.00013767423,0.00010205214,0.000080040685,0.00008455702,0.000058496167],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000086216925,0.0001839329,0.021707403,0.0006335026,0.00019056373,0.0000033124577,0.0010938281,0.000031947686,0.000025563118,0.9734704,0.00070302346,0.0018703248],"study_design_scores_gemma":[0.0025486392,0.0002296832,0.015728876,0.00029305753,0.000077465,0.000014479191,0.0008019598,0.014958248,0.00025737923,0.9569978,0.0075167455,0.00057565694],"about_ca_topic_score_codex":0.00004030537,"about_ca_topic_score_gemma":0.000030152265,"teacher_disagreement_score":0.23743336,"about_ca_system_score_codex":0.000032621072,"about_ca_system_score_gemma":0.00002338289,"threshold_uncertainty_score":0.607862},"labels":[],"label_agreement":null},{"id":"W7083808268","doi":"10.5281/zenodo.17101505","title":"Release of TiO2 and ZnO nanoparticles from sunscreens into natural waters: detection and discrimination from natural particles using SP-ICP-ToF-MS","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Natural (archaeology); Nanoparticle; Zinc; Particle (ecology); Particle size","score_opus":0.028743691075544628,"score_gpt":0.2173287969076972,"score_spread":0.1885851058321526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083808268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943384,0.0006229205,0.0015595541,0.00028304392,0.00015921783,0.00013824226,0.00010477842,0.000091978276,0.0027018837],"genre_scores_gemma":[0.9986268,0.00023068606,0.0006466602,0.000042236654,0.000050439885,4.1922032e-8,0.00019357263,0.00015252436,0.00005699928],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990156,0.00006682552,0.0003438204,0.0003474827,0.000039836013,0.00018639641],"domain_scores_gemma":[0.9994619,0.000039141505,0.0001527042,0.00019683744,0.00008338621,0.000066069435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031502076,0.00010767367,0.0001906614,0.00019411641,0.0006375332,0.00038791553,0.00018083402,0.00005388511,0.0002426867],"category_scores_gemma":[0.00030559345,0.00012376995,0.00003191741,0.00018965895,0.00015441113,0.00040370502,0.00034783853,0.00012878483,0.000102812955],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010856419,0.0003828888,0.008780545,0.00031959816,0.0004584331,0.000011317891,0.013781606,0.00034679126,0.34085226,0.028138164,0.0031832503,0.6026595],"study_design_scores_gemma":[0.005772608,0.00047276603,0.2376571,0.00038003453,0.00020630947,0.00003026282,0.0051250174,0.34478953,0.09805465,0.09757963,0.20835935,0.0015727328],"about_ca_topic_score_codex":0.0010261324,"about_ca_topic_score_gemma":0.000026963782,"teacher_disagreement_score":0.6010868,"about_ca_system_score_codex":0.00010766125,"about_ca_system_score_gemma":0.0000020203913,"threshold_uncertainty_score":0.5047192},"labels":[],"label_agreement":null},{"id":"W7083853355","doi":"","title":"2/1 Sports Update: Bucks ground Raptors, LeBron returns in win, Peppers calls it a career, Arenado cashes in","year":2019,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Liberian dollar; Overtime; Arbitration; Football; Football team","score_opus":0.01657506347584817,"score_gpt":0.20783516767380583,"score_spread":0.19126010419795766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083853355","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039568447,0.0009404066,0.00055030873,0.00034657386,0.0027252617,0.0011839034,0.0014039178,0.00015213704,0.95312905],"genre_scores_gemma":[0.3232789,0.0022570402,0.000660857,0.0005467553,0.00052240584,0.00008787572,0.00097324204,0.00081620313,0.6708567],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9941342,0.00015469185,0.002048047,0.0021084328,0.00015880055,0.0013958365],"domain_scores_gemma":[0.9969803,0.00023791089,0.0011968706,0.0012456307,0.0000158884,0.0003233713],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007666821,0.0011450821,0.002147407,0.002759297,0.000024142373,0.00028441663,0.001582025,0.0005746692,0.008617632],"category_scores_gemma":[0.0001194625,0.0013828616,0.0005910684,0.0002515393,0.00036688382,0.00026026645,0.0007767935,0.0015838903,0.0037067172],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032483516,0.0002371717,0.09830679,0.0003196719,0.00025094347,0.00035530172,0.0062622386,0.00007875725,0.0000072767957,0.0067782495,0.8866031,0.00047566163],"study_design_scores_gemma":[0.0019031708,0.0001761297,0.007957465,0.0017302489,0.00002428575,0.000047907637,0.0003308984,0.0037349055,0.000011900256,0.0045058327,0.97793996,0.0016372954],"about_ca_topic_score_codex":0.09649914,"about_ca_topic_score_gemma":0.24950969,"teacher_disagreement_score":0.28371045,"about_ca_system_score_codex":0.00051527435,"about_ca_system_score_gemma":0.00013782107,"threshold_uncertainty_score":0.9988621},"labels":[],"label_agreement":null},{"id":"W7084043985","doi":"10.6084/m9.figshare.30103183","title":"Supplementary Material for: A Comparison of two Vascular Closure Strategies in Transcatheter Aortic Valve Replacement: Suture and Plug versus Suture alone: A Systematic Review and Meta-Analysis","year":2025,"lang":"en","type":"dataset","venue":"Figshare","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Vascular closure device; Closure (psychology); Fibrous joint; Stenosis; Clinical endpoint; Valve replacement; Aortic valve stenosis","score_opus":0.05988159767579537,"score_gpt":0.3011448593991318,"score_spread":0.24126326172333645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084043985","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006825474,0.0491827,0.000001918569,0.00008540083,0.00008900735,0.0018758406,0.94865096,0.000007224235,0.000038712667],"genre_scores_gemma":[0.0013975046,0.002793239,0.00007639888,0.00013659128,0.0000353476,0.0009104121,0.99460876,0.000020070593,0.000021670052],"study_design_codex":"not_applicable","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9971359,0.00008613653,0.0016898451,0.00071925786,0.00005924173,0.00030965504],"domain_scores_gemma":[0.9978049,0.00021667517,0.0010709617,0.00079877063,0.00004437586,0.00006435979],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00054186705,0.00046709093,0.004570887,0.00046693988,0.000065182314,0.0001907323,0.00034825978,0.00029154678,0.037015278],"category_scores_gemma":[0.00016739615,0.00045938557,0.0015821573,0.00029176107,0.000017262855,0.0001533717,0.00012024988,0.00024246257,0.0000059506497],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057640886,0.00005373291,0.000038793376,0.24976625,0.046119485,5.7467565e-7,0.00009788959,0.000023215178,1.9095562e-8,0.000028087537,0.7038129,0.0000014010405],"study_design_scores_gemma":[0.0037666354,0.00034383257,0.00006430861,0.011888287,0.49746114,0.000002763127,0.0003206491,0.00043968487,0.000004918129,0.00040088122,0.48369896,0.0016079515],"about_ca_topic_score_codex":0.00037092695,"about_ca_topic_score_gemma":0.0026313935,"teacher_disagreement_score":0.45134163,"about_ca_system_score_codex":0.00008077026,"about_ca_system_score_gemma":0.000051351028,"threshold_uncertainty_score":0.9997858},"labels":[],"label_agreement":null},{"id":"W7084058325","doi":"10.6084/m9.figshare.29955790","title":"Additional file 3 of The ocular surface microbiome of rhesus macaques","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Microbiome; Rhesus macaque; Isolation (microbiology); Immune system","score_opus":0.019576003348816685,"score_gpt":0.18711227668118527,"score_spread":0.1675362733323686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084058325","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00051019934,0.000099826066,4.0754227e-7,0.000052126194,0.000054145326,0.00006810194,0.8779943,0.000008479151,0.12121242],"genre_scores_gemma":[0.04698718,0.000012176797,0.00070961524,0.00021573526,0.000049635444,0.000084709194,0.9434181,0.000022039738,0.008500801],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999401,0.00000719957,0.00032146618,0.00014698444,0.000012678407,0.00011072769],"domain_scores_gemma":[0.99911654,0.00031303914,0.00027665464,0.00024237913,0.00003630968,0.000015064873],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000034650973,0.00007284712,0.00020403965,0.00006329916,0.00004134692,0.000014680972,0.00025105942,0.0000720284,0.97806644],"category_scores_gemma":[0.000805509,0.00007440972,0.00013788155,0.00018762995,0.000017624116,0.00005808896,0.00010961061,0.00006361884,0.0013651759],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026573666,0.000017923521,0.000078378915,0.0000864765,0.000023040522,1.617448e-7,0.000014371628,0.00002647372,0.000007766555,0.00039734578,0.99918354,0.00016185448],"study_design_scores_gemma":[0.00007948167,0.0000052423056,0.0046860278,0.00057099824,0.0000013755214,4.4657128e-7,0.000007695562,0.00029568086,0.0004126186,0.0012529631,0.99261296,0.00007448651],"about_ca_topic_score_codex":0.000014576301,"about_ca_topic_score_gemma":0.000008753737,"teacher_disagreement_score":0.97670126,"about_ca_system_score_codex":0.00003750627,"about_ca_system_score_gemma":0.000051085535,"threshold_uncertainty_score":0.99941236},"labels":[],"label_agreement":null},{"id":"W7084090085","doi":"10.64628/aam.dsrwv4aq4","title":"Aviation safety isn’t just about pilot skill — it also comes down to corporate decision-making","year":2025,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Concordia University","funders":"","keywords":"Aviation; Work (physics); Subtitle; Aviation safety","score_opus":0.03745349373702352,"score_gpt":0.2641779127699962,"score_spread":0.22672441903297266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084090085","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13636187,0.00025685516,0.15099461,0.0034159685,0.0022213943,0.00045157442,0.0001093612,0.00013827426,0.7060501],"genre_scores_gemma":[0.9789465,0.00043613603,0.006082075,0.004449199,0.00010643814,0.000017680792,0.00002172777,0.000029277746,0.009910938],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979865,0.000014558097,0.001011151,0.00055673614,0.000032754626,0.00039828516],"domain_scores_gemma":[0.998631,0.00031139195,0.0004053128,0.00049505645,0.000053722666,0.00010353843],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009514612,0.00022028867,0.0005194296,0.0004974677,0.00025868465,0.00024645138,0.0003370191,0.00011315124,0.002422852],"category_scores_gemma":[0.0003672942,0.00025689468,0.00011462389,0.00047320605,0.000035240762,0.0003014183,0.00017366515,0.00013624332,0.002414299],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037063583,0.00021456178,0.118856125,0.00005208773,0.000123466,0.0000047868716,0.0005952757,0.003187672,0.000009463125,0.6935128,0.095119424,0.08795372],"study_design_scores_gemma":[0.0020341168,0.0002313937,0.26671493,0.00034465312,0.00003152851,0.000003921732,0.00038711098,0.020458274,0.000086180946,0.21687393,0.4915142,0.0013197539],"about_ca_topic_score_codex":0.00017221851,"about_ca_topic_score_gemma":0.0005557134,"teacher_disagreement_score":0.84258467,"about_ca_system_score_codex":0.00033991487,"about_ca_system_score_gemma":0.0000509964,"threshold_uncertainty_score":0.9999883},"labels":[],"label_agreement":null},{"id":"W7084106355","doi":"10.1109/isci65687.2025.11167230","title":"Multi-Goal Pathfinding with Deep Q-Learning","year":2025,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Pathfinding; Scalability; Path (computing); Process (computing); State (computer science); Point (geometry)","score_opus":0.016774001746470334,"score_gpt":0.20409680648094694,"score_spread":0.1873228047344766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084106355","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21690387,0.0001887685,0.123858355,0.0002313259,0.0003330906,0.00011000046,0.0000025369013,0.0001281954,0.65824383],"genre_scores_gemma":[0.9740814,0.00011537011,0.015005148,0.00024308517,0.000035532146,0.000010188065,0.000005283063,0.000018998215,0.010484996],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991089,0.0000070170904,0.00030696567,0.00030536583,0.000009839212,0.00026190528],"domain_scores_gemma":[0.99961615,0.00004175558,0.00011219986,0.000173075,0.000012078268,0.000044735083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032554407,0.000115989766,0.00024781976,0.00022080711,0.00015993044,0.000108704924,0.00013454245,0.00007216346,0.0004899577],"category_scores_gemma":[0.000057264035,0.00012257864,0.000054628486,0.00019121426,0.000032236487,0.00015338771,0.000051876566,0.00015697158,0.00049600896],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041711803,0.000084633866,0.81093895,0.000037401693,0.00009351144,0.0000067908345,0.0004323552,0.0019862605,0.000024226665,0.1654336,0.00030451216,0.020616068],"study_design_scores_gemma":[0.004647862,0.0001976574,0.19161493,0.00010038361,0.000027844217,0.000010770014,0.0013409627,0.44387203,0.00024963758,0.013423553,0.34308407,0.0014303088],"about_ca_topic_score_codex":0.000109210996,"about_ca_topic_score_gemma":0.00013816822,"teacher_disagreement_score":0.75717753,"about_ca_system_score_codex":0.000087057044,"about_ca_system_score_gemma":0.000013812352,"threshold_uncertainty_score":0.6375357},"labels":[],"label_agreement":null},{"id":"W7084137660","doi":"10.15173/glj.v16i3.6828","title":"Book Review of Jens Arnholtz and Bjarke Refslund (eds) (2024) Workers, Power and Society. Power Resource Theory in Contemporary Capitalism. New York: Routledge Taylor &amp; Francis Group.","year":2025,"lang":"en","type":"article","venue":"Global Labour Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Power (physics); Resource (disambiguation)","score_opus":0.015525030827259144,"score_gpt":0.2294411697393411,"score_spread":0.21391613891208194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084137660","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04256531,0.8304325,0.00079280353,0.0025570407,0.00087729277,0.00027101795,0.00024303477,0.000020059306,0.12224099],"genre_scores_gemma":[0.6428688,0.27432656,0.0029411598,0.046496857,0.0005592757,0.000017864622,0.000054874836,0.0001208951,0.03261367],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977712,0.00009627528,0.0011818485,0.00045239454,0.0000619332,0.00043636732],"domain_scores_gemma":[0.99864286,0.00011727375,0.0006118367,0.00034652077,0.000044787095,0.00023674074],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023765238,0.00028668522,0.00086925505,0.00015344517,0.00015810647,0.00018322602,0.0002761086,0.00022296119,0.0015255113],"category_scores_gemma":[0.00023370747,0.0003082828,0.00023516234,0.00036394995,0.0001700633,0.00033561682,0.00016535704,0.00047757625,0.000033605855],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000273695,0.00011423097,0.09397797,0.0007396699,0.00031023487,0.000024622976,0.0008835414,0.000005138843,0.00000367552,0.052484766,0.84434235,0.006840091],"study_design_scores_gemma":[0.001320473,0.00005003475,0.023641426,0.0011198213,0.000020792782,0.000054873104,0.00031651763,0.000017312392,6.4157996e-7,0.022055654,0.951092,0.00031045213],"about_ca_topic_score_codex":0.00019269626,"about_ca_topic_score_gemma":0.00003378844,"teacher_disagreement_score":0.60030353,"about_ca_system_score_codex":0.00021646217,"about_ca_system_score_gemma":0.00010640164,"threshold_uncertainty_score":0.99993694},"labels":[],"label_agreement":null},{"id":"W7084195304","doi":"","title":"Eﬀect of structured physical therapy program on patients with diabetes and mild cognitive impairment: randomised controlled trial","year":2024,"lang":"en","type":"other","venue":"Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Montreal Cognitive Assessment; Cognition; Rehabilitation; Dementia; Randomized controlled trial; Cognitive rehabilitation therapy; Cognitive training; Diabetes mellitus; Aerobic exercise","score_opus":0.01159367521931618,"score_gpt":0.2269219265544799,"score_spread":0.21532825133516373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084195304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7067105,0.003994048,0.000009280951,0.00019627038,0.0016448686,0.015548678,0.0010092967,0.0003855907,0.27050143],"genre_scores_gemma":[0.9544787,0.0040115234,0.0004032504,0.00020204873,0.0013444251,0.0020050688,0.0003931061,0.0017956494,0.035366226],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9964001,0.00012361674,0.0012090601,0.001403185,0.00012539988,0.0007385985],"domain_scores_gemma":[0.99661237,0.0005536064,0.0019191939,0.00061342964,0.00006913916,0.00023223468],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005621643,0.0010368944,0.003017254,0.0010148669,0.00009277229,0.00024999774,0.00038045782,0.00055373326,0.0004763929],"category_scores_gemma":[0.00016446924,0.0009051454,0.0006044529,0.00028201006,0.00038184403,0.00017391428,0.00011453594,0.000640213,0.00025876664],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.88342637,0.006649619,0.005671699,0.0011329335,0.009355916,0.000011011509,0.0028606362,0.000036270983,0.00000645201,0.0040948032,0.059441343,0.027312918],"study_design_scores_gemma":[0.8996743,0.0056568882,0.0004888811,0.0007986081,0.0004171964,5.933319e-7,0.00017399206,0.00092078454,0.000066763576,0.0019093954,0.088134594,0.0017580326],"about_ca_topic_score_codex":0.00004596319,"about_ca_topic_score_gemma":0.000029794455,"teacher_disagreement_score":0.24776818,"about_ca_system_score_codex":0.00018037994,"about_ca_system_score_gemma":0.0001037159,"threshold_uncertainty_score":0.99933994},"labels":[],"label_agreement":null},{"id":"W7084248335","doi":"","title":"mni10580","year":2024,"lang":"en","type":"other","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Glory; Fell; Commonwealth; Empire; Colonialism; Mural; British Empire; Government (linguistics)","score_opus":0.025943166106984713,"score_gpt":0.2041095362153946,"score_spread":0.17816637010840988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084248335","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000020830557,0.0041880393,0.00030770103,0.00022023295,0.0024065454,0.00008841676,0.00011702325,0.00044790746,0.9922221],"genre_scores_gemma":[0.0003294483,0.0012712332,0.0007087041,0.00020891005,0.00071537285,0.000009059135,0.00001884513,0.00086612685,0.9958723],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990497,0.0000019537435,0.00030260033,0.00042759758,0.000008888581,0.00020922048],"domain_scores_gemma":[0.99944645,0.000005446423,0.00013847907,0.00035229124,0.0000017215392,0.000055619526],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00015270857,0.00018538487,0.00039748315,0.00040386463,0.000010178169,0.000102963975,0.0001721533,0.00027705348,0.063031755],"category_scores_gemma":[0.00001112842,0.00021413123,0.00013787755,0.00008344177,0.000027774218,0.000024673338,0.00006154025,0.00014798364,0.19154093],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.5653073e-7,0.000006683193,0.00007704536,0.000056345372,0.00004368808,0.0000035933438,0.000012687162,1.2691385e-7,2.5344592e-8,0.2107878,0.7882388,0.0007727267],"study_design_scores_gemma":[0.000057433776,0.0000060007383,0.0000040276527,0.000034302426,0.0000045708807,0.000001689867,0.000004573818,0.00009037555,3.5232455e-7,0.049127556,0.9504025,0.0002665901],"about_ca_topic_score_codex":0.00044299642,"about_ca_topic_score_gemma":0.00016220348,"teacher_disagreement_score":0.1621637,"about_ca_system_score_codex":0.000050908868,"about_ca_system_score_gemma":0.000008840995,"threshold_uncertainty_score":0.9378248},"labels":[],"label_agreement":null},{"id":"W7084399441","doi":"10.6084/m9.figshare.c.8066676","title":"Predicting Future Performance in Powerlifting: A Machine Learning Approach","year":2025,"lang":"en","type":"other","venue":"Figshare","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Lift (data mining); Predictive modelling; Support vector machine; Normative; Identification (biology); Regression; Athletes","score_opus":0.022836590463460094,"score_gpt":0.19582115169460795,"score_spread":0.17298456123114786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084399441","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000040999166,0.0031713087,0.0000045302168,0.000030238172,0.0003030597,0.00024625205,0.051562056,0.00020563057,0.94443595],"genre_scores_gemma":[0.01076499,0.0011925749,0.00085859594,0.00019168115,0.0019066347,0.00023796441,0.11643853,0.0007777278,0.8676313],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985065,0.000015179324,0.0004849176,0.00057998975,0.000026506326,0.00038693787],"domain_scores_gemma":[0.9990767,0.000030064824,0.00051316275,0.0003137147,0.000010455089,0.000055861],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00017173387,0.00030457895,0.0005872124,0.0006194581,0.00007139304,0.00009434236,0.0003590934,0.00048574724,0.161267],"category_scores_gemma":[0.0002667507,0.00038844085,0.00011387116,0.00023314696,0.0000054452485,0.0000887318,0.00017303272,0.0007301605,0.0034888717],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017666522,0.00009912549,0.088684976,0.0025266423,0.00010232517,0.000008556806,0.0003663561,0.00064222916,4.641138e-8,0.0006948281,0.8976887,0.009168549],"study_design_scores_gemma":[0.00028131163,0.000014290497,0.0014469279,0.0011462602,0.0000024897981,0.0000018086245,0.000023279568,0.020949813,2.6985998e-7,0.000028369433,0.9757357,0.0003694564],"about_ca_topic_score_codex":0.00014145109,"about_ca_topic_score_gemma":0.00011071119,"teacher_disagreement_score":0.15777811,"about_ca_system_score_codex":0.00012650543,"about_ca_system_score_gemma":0.000052819312,"threshold_uncertainty_score":0.99985677},"labels":[],"label_agreement":null},{"id":"W7084595248","doi":"10.5281/zenodo.17229652","title":"Characterization Factors for Microplastic Emissions in Life Cycle Assessment Considering Multimedia Fate Modelling","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Life-cycle assessment; Characterization (materials science); Natural (archaeology); Aquatic ecosystem; Ecosystem; Component (thermodynamics); Life cycle inventory; Environmental impact assessment","score_opus":0.05395550295010257,"score_gpt":0.24653079610719217,"score_spread":0.1925752931570896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084595248","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034862089,0.000046735873,0.036617383,0.00018359872,0.0009789952,0.0008491502,0.9510019,0.00018784884,0.0066482164],"genre_scores_gemma":[0.010271503,0.0008658257,0.0007123607,0.00008440545,0.00021245981,4.5314e-7,0.987143,0.0005189047,0.00019110023],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99800193,0.000071708884,0.0007699895,0.0006567914,0.000055350807,0.0004441999],"domain_scores_gemma":[0.9986866,0.00011586672,0.00042763143,0.000471263,0.00012512544,0.00017347737],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00066267943,0.00026282153,0.00048200402,0.00073463144,0.0009889774,0.00074622215,0.0006762802,0.00022720051,0.0035300078],"category_scores_gemma":[0.000952196,0.0003427918,0.0001010844,0.00031196946,0.000064013526,0.00023558828,0.000609307,0.00041272864,0.00046093538],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004748419,0.00022255248,0.000019943322,0.00051318505,0.00010023936,0.0000035818364,0.00040598534,0.008621732,0.00013787723,0.00081331015,0.9844463,0.0046678004],"study_design_scores_gemma":[0.00050489523,0.000039929695,0.00008507981,0.00008114519,0.000013444007,0.000001720933,0.00006363288,0.06873416,0.000010824132,0.00026614478,0.9298878,0.0003112763],"about_ca_topic_score_codex":0.00008903963,"about_ca_topic_score_gemma":0.0000032063117,"teacher_disagreement_score":0.060112428,"about_ca_system_score_codex":0.00040152576,"about_ca_system_score_gemma":0.000019451267,"threshold_uncertainty_score":0.9999024},"labels":[],"label_agreement":null},{"id":"W7093630823","doi":"","title":"Risk and Recovery","year":2007,"lang":"","type":"article","venue":"Lincoln (University of Nebraska)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Recession; Economic recovery; Durable good; Financial crisis; Job loss; Consumer spending; Slow growth; Economic slowdown; Quarter (Canadian coin)","score_opus":0.01274084762153587,"score_gpt":0.16794029905776145,"score_spread":0.15519945143622557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7093630823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8353505,0.0017826612,0.015793463,0.00035302996,0.0010450202,0.00022953925,0.0002797296,0.000028482787,0.14513758],"genre_scores_gemma":[0.9697552,0.018584749,0.005559173,0.000071238646,0.00019957694,6.588496e-8,0.000012233908,0.000033793927,0.0057839863],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981431,0.000030963096,0.00057023944,0.00068167015,0.000045810393,0.0005282224],"domain_scores_gemma":[0.9978766,0.0003035047,0.0010296186,0.00045159462,0.000053347536,0.000285337],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001883058,0.00025286,0.0007486984,0.00064836396,0.00045006335,0.00006136674,0.0003758371,0.00041531297,0.0010924053],"category_scores_gemma":[0.0001122685,0.00044869687,0.00027574357,0.00040248167,0.0003747039,0.00057369674,0.00031601294,0.0003585614,0.00037796577],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00095317885,0.000408805,0.54585695,0.00025701715,0.00044495828,0.000079176694,0.004028467,0.00023530917,0.000018267734,0.01748336,0.0024280283,0.42780647],"study_design_scores_gemma":[0.0036479996,0.0006543131,0.6408164,0.000117929296,0.00017135277,0.00001720811,0.005467322,0.009377853,0.000026704405,0.028664146,0.30976924,0.0012695654],"about_ca_topic_score_codex":0.0018509228,"about_ca_topic_score_gemma":0.0018400142,"teacher_disagreement_score":0.4265369,"about_ca_system_score_codex":0.00020608722,"about_ca_system_score_gemma":0.000067853405,"threshold_uncertainty_score":0.9998207},"labels":[],"label_agreement":null},{"id":"W7094036727","doi":"","title":"What comes first : residential or commercial development? Measuring the causal links for a Canadian city over a century","year":2016,"lang":"en","type":"article","venue":"Corpus Université Laval (Université Laval)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Test (biology); Causality (physics); Granger causality; Period (music); Residential property; Causation","score_opus":0.02554804225490129,"score_gpt":0.18319695898424732,"score_spread":0.15764891672934603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7094036727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9589998,0.0008410366,0.0011965951,0.011680816,0.0031876073,0.00082340685,0.00034074372,0.00014372206,0.022786265],"genre_scores_gemma":[0.98160774,0.0055785035,0.00017358648,0.00037218863,0.00027967378,0.00000495369,0.000037840935,0.000061017614,0.011884481],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99814487,0.00003438718,0.00038160197,0.00059772347,0.00008389898,0.00075750693],"domain_scores_gemma":[0.99844223,0.00028408747,0.0003297928,0.0004675013,0.00009676031,0.00037962338],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.000504359,0.0003224803,0.0004834039,0.0005115945,0.001597069,0.00023747249,0.00083334115,0.00034323137,0.0004066394],"category_scores_gemma":[0.00008101222,0.00028886326,0.00024721748,0.0003267673,0.00014136625,0.0010629608,0.0002916462,0.00026801016,0.00008449382],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004345742,0.00032505664,0.6000784,0.00024172982,0.0016630322,0.00046232349,0.049934827,0.00008041398,0.00031805254,0.10270175,0.037537612,0.20231102],"study_design_scores_gemma":[0.0031026471,0.0000884951,0.059534434,0.0001276761,0.00006589051,0.000016599011,0.0015116488,0.00010276286,0.0004960882,0.0008894562,0.9333789,0.0006854181],"about_ca_topic_score_codex":0.091169864,"about_ca_topic_score_gemma":0.8121521,"teacher_disagreement_score":0.8958413,"about_ca_system_score_codex":0.0027301244,"about_ca_system_score_gemma":0.0005455137,"threshold_uncertainty_score":0.99995637},"labels":[],"label_agreement":null},{"id":"W7094492280","doi":"","title":"Ontario’s Evolving Lifestyle: Embracing Health, Travel, and Local Culture","year":2024,"lang":"en","type":"other","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Local government; Work (physics); Perspective (graphical); Key (lock)","score_opus":0.016990668016855337,"score_gpt":0.2150238432901061,"score_spread":0.19803317527325076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7094492280","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00002062577,0.015769737,0.004028626,0.0003762375,0.0012963137,0.00020366606,0.00008184618,0.0001659496,0.978057],"genre_scores_gemma":[0.004654849,0.0020840298,0.002107896,0.0006743286,0.00048464438,0.000010315541,0.000035827405,0.00049283594,0.9894553],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99820906,0.000008989721,0.0005927344,0.00074974535,0.000023163795,0.00041628612],"domain_scores_gemma":[0.9991622,0.000012983379,0.00031784386,0.00031865604,0.0000058540945,0.00018245533],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00034099055,0.00035025046,0.0008176331,0.0003765137,0.000067222056,0.00026053799,0.00015457733,0.00044034046,0.010064814],"category_scores_gemma":[0.000015583291,0.0003872928,0.00012260696,0.00009604181,0.00007031346,0.000095170915,0.0000965397,0.00048019656,0.0036237831],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027160536,0.000018473545,0.0010344086,0.0004105836,0.00011174964,0.000008000969,0.0013637966,0.0000015205936,9.542077e-8,0.03743956,0.9538749,0.005734204],"study_design_scores_gemma":[0.00018080058,0.000038363047,0.00016716438,0.00024623369,0.000009565094,0.000015953497,0.00016594173,0.00043121807,3.4553122e-7,0.008138613,0.99013954,0.00046627963],"about_ca_topic_score_codex":0.057669606,"about_ca_topic_score_gemma":0.14097126,"teacher_disagreement_score":0.083301656,"about_ca_system_score_codex":0.0004328357,"about_ca_system_score_gemma":0.00008708515,"threshold_uncertainty_score":0.9998579},"labels":[],"label_agreement":null},{"id":"W7094743818","doi":"","title":"Essais sur des Ajustements Macroéconomiques des Prix","year":2013,"lang":"en","type":"article","venue":"theses.fr (ABES)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public investment; Cost analysis; Economic analysis","score_opus":0.059842796773574534,"score_gpt":0.21440612849638102,"score_spread":0.15456333172280648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7094743818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6444256,0.0003716016,0.00037474293,0.000091527036,0.00026127612,0.00025581612,0.000030949173,0.00010574222,0.35408276],"genre_scores_gemma":[0.9947571,0.0014645153,0.0021785519,0.00024219052,0.00018683178,0.000089970126,0.000014685821,0.0000800844,0.0009860648],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99790365,0.000033812124,0.00080574775,0.0005364052,0.000028996625,0.0006914028],"domain_scores_gemma":[0.998687,0.00012759714,0.00034046994,0.0005800375,0.0000664881,0.00019838099],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00071596,0.00030859132,0.0005857061,0.00021503412,0.00025779716,0.00039049276,0.00048276148,0.0001618428,0.0048811208],"category_scores_gemma":[0.00017021925,0.00034757963,0.00017820021,0.00015551975,0.00027704914,0.0010505404,0.00017603452,0.00016368972,0.0077547287],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029846435,0.00029956448,0.8106681,0.00022060679,0.00023622798,0.000005659768,0.004152753,0.00011218909,0.000103901104,0.11907185,0.0018333269,0.06326594],"study_design_scores_gemma":[0.0023146733,0.00023072487,0.29663903,0.00019832148,0.00004581716,0.000023176977,0.0024129648,0.005920538,0.0017339146,0.46870014,0.2196433,0.0021374195],"about_ca_topic_score_codex":0.0090075405,"about_ca_topic_score_gemma":0.0005134731,"teacher_disagreement_score":0.5140291,"about_ca_system_score_codex":0.00032081315,"about_ca_system_score_gemma":0.000025120145,"threshold_uncertainty_score":0.9998976},"labels":[],"label_agreement":null},{"id":"W7095082994","doi":"","title":"“The Contagion Effect of Neighboring Foreclosures on Own Foreclosures”","year":2010,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Foreclosure; Quarter (Canadian coin); Period (music); Forbearance; Payment","score_opus":0.010820144445146469,"score_gpt":0.20804279342441573,"score_spread":0.19722264897926925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095082994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66122717,0.000046930934,0.000098439414,0.00019460039,0.0012142475,0.00015320098,0.000009197808,0.000028729266,0.33702752],"genre_scores_gemma":[0.9979861,0.00009094765,0.00012496479,0.00006615256,0.00019119117,0.00001917651,0.0000037619027,0.000028129356,0.0014895798],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988544,0.000015241485,0.00053339545,0.0002665088,0.000028117793,0.00030233612],"domain_scores_gemma":[0.99868345,0.0004873889,0.00029249614,0.0004503225,0.000017894972,0.000068440095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013341851,0.00016037562,0.00036757704,0.000110494264,0.00018497075,0.00007640632,0.0002794578,0.00012724481,0.00022928051],"category_scores_gemma":[0.00023519172,0.00012322431,0.0001781465,0.00009028288,0.00009515061,0.0001176672,0.000045142864,0.00023795351,0.00023482318],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002577918,0.000036877107,0.4844557,0.000029893527,0.00006127074,0.0000010399922,0.00007230572,0.00003512614,0.00021999753,0.4757385,0.0022905497,0.036800966],"study_design_scores_gemma":[0.0044584433,0.002154998,0.096327245,0.0000520995,0.00003524337,0.000017144146,0.00005755927,0.0110546425,0.03240501,0.10329423,0.7489142,0.0012291805],"about_ca_topic_score_codex":0.00016463174,"about_ca_topic_score_gemma":0.00054414704,"teacher_disagreement_score":0.74662364,"about_ca_system_score_codex":0.00003147706,"about_ca_system_score_gemma":0.000009690404,"threshold_uncertainty_score":0.50249416},"labels":[],"label_agreement":null},{"id":"W7095360601","doi":"","title":"CANADA MACROECONOMIC BACKGROUND","year":2015,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Population; Per capita; Inflation (cosmology); Demographics; Currency; Stock (firearms); Population growth; Immigration; China","score_opus":0.055360523271055145,"score_gpt":0.20512542318255372,"score_spread":0.14976489991149858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095360601","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24228497,0.00011112206,0.00044882073,0.0009695132,0.0012121915,0.000057180754,0.000034992307,0.000033696375,0.7548475],"genre_scores_gemma":[0.9851121,0.000032333748,0.000775171,0.0014291141,0.00016704568,0.000005590004,0.000011757545,0.000024647903,0.012442293],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990061,0.0000046760683,0.0004128851,0.00027577157,0.000013784517,0.00028676723],"domain_scores_gemma":[0.99935204,0.00002101495,0.0001272341,0.000274619,0.000015027951,0.00021007391],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003695863,0.00011470308,0.00026171544,0.00006568256,0.000045503857,0.00008146794,0.0002002633,0.000050329607,0.0016795174],"category_scores_gemma":[0.000027955735,0.0001429601,0.00004320504,0.000046726673,0.000024968402,0.00019434975,0.000053507083,0.00007195034,0.0026947632],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026281277,0.000038680882,0.085776456,0.000011017143,0.00005413089,0.000011598472,0.00013435584,0.00039251772,0.0000013611048,0.43035355,0.4805809,0.002619153],"study_design_scores_gemma":[0.00047879166,0.000016909884,0.0026513166,0.0000012774525,0.0000014272093,0.000007235135,0.00015025948,0.0028905303,0.000016984033,0.024986887,0.9685183,0.00028008258],"about_ca_topic_score_codex":0.68463635,"about_ca_topic_score_gemma":0.72797763,"teacher_disagreement_score":0.74282706,"about_ca_system_score_codex":0.0005749851,"about_ca_system_score_gemma":0.00033022978,"threshold_uncertainty_score":0.99923307},"labels":[],"label_agreement":null},{"id":"W7095414198","doi":"","title":"1 Negative Real Interest Rate and Housing Bubble Implosion – An Empirical Study in Hong Kong","year":2009,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Implosion; Interest rate; Real interest rate; Bubble; Autoregressive model; Empirical research","score_opus":0.07914934178300684,"score_gpt":0.2975044884508705,"score_spread":0.21835514666786368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095414198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9621242,0.000019953624,0.00015622721,0.0003476864,0.0001238043,0.00022810478,0.000004479173,0.000050931856,0.036944587],"genre_scores_gemma":[0.998953,0.00013936445,0.0004711569,0.0002393398,0.00007159712,0.0000032893963,0.0000037735651,0.000018771136,0.00009973165],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99864614,0.000044179804,0.0005282456,0.0004724111,0.000013097782,0.00029595333],"domain_scores_gemma":[0.99945056,0.00006279225,0.00013965822,0.00022837303,0.000012350797,0.00010626001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008390541,0.00015966485,0.00038611557,0.00026620322,0.00009958738,0.00018348925,0.00012348201,0.000084052845,0.00008128653],"category_scores_gemma":[0.00005617989,0.00017733047,0.00003496542,0.00018160726,0.00003316978,0.00055497827,0.00006262485,0.00016292064,0.000047928064],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068702975,0.0003409112,0.9884777,0.0000029211096,0.00000888143,0.000012578685,0.0017802621,0.000050609706,0.000031280586,0.0022571248,0.00008533002,0.0068836748],"study_design_scores_gemma":[0.0010933416,0.0004941925,0.9704163,0.000011536413,0.000003496916,0.0000021182743,0.0012540022,0.010334463,0.00005201156,0.015898686,0.00013797542,0.00030189464],"about_ca_topic_score_codex":0.00087615935,"about_ca_topic_score_gemma":0.0034779005,"teacher_disagreement_score":0.036844853,"about_ca_system_score_codex":0.00012431004,"about_ca_system_score_gemma":0.000013837317,"threshold_uncertainty_score":0.7231326},"labels":[],"label_agreement":null},{"id":"W7095442539","doi":"","title":"WORKING PAPER SERIESFEDERAL RESERVE BANK of ATLANTA WORKING PAPER SERIES Housing and the Macroeconomy: The Role of Implicit Guarantees for Government-Sponsored Enterprises","year":2005,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Atlanta; Subsidy; Government (linguistics); Default; Population; Default risk; Welfare; Mortgage insurance","score_opus":0.013830877776003598,"score_gpt":0.19808045845395553,"score_spread":0.18424958067795194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095442539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8936887,0.0031659084,0.00034409243,0.0032056035,0.00021834925,0.00061460776,0.000071477094,0.000030965482,0.098660305],"genre_scores_gemma":[0.9954095,0.0018203775,0.0013413205,0.00049830467,0.00020285336,0.00005008946,0.0000050973945,0.00004278731,0.000629657],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.998207,0.00003822095,0.0009613088,0.00036058208,0.000045774967,0.00038715763],"domain_scores_gemma":[0.99838215,0.00050332164,0.0006043012,0.0004487136,0.000022614759,0.000038926762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012097523,0.0002313483,0.0006441755,0.000055187287,0.00032954456,0.00020214333,0.00037833382,0.00009949872,0.00025474335],"category_scores_gemma":[0.00009461513,0.00017194754,0.00022691346,0.000096053496,0.0003329431,0.000495685,0.00021596352,0.00012689808,0.000005190765],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0043904493,0.00011928561,0.55082464,0.00010498832,0.0006102727,7.359305e-7,0.0057889307,0.0005374916,0.0008915355,0.37066564,0.00068125135,0.065384775],"study_design_scores_gemma":[0.005990267,0.00021100535,0.03151923,0.0002444053,0.00011598217,0.00002964073,0.008814052,0.013334419,0.0047936523,0.081269145,0.8526244,0.0010537948],"about_ca_topic_score_codex":0.0004039045,"about_ca_topic_score_gemma":0.0020549512,"teacher_disagreement_score":0.85194314,"about_ca_system_score_codex":0.00009171961,"about_ca_system_score_gemma":0.000020669971,"threshold_uncertainty_score":0.70118177},"labels":[],"label_agreement":null},{"id":"W7095557320","doi":"","title":"Journal Of Real Estate Research","year":2007,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Underwriting; Valuation (finance); Market value; Value (mathematics); Asset (computer security); Apartment; Market price; Fair market value","score_opus":0.1150923749953533,"score_gpt":0.3173372355315906,"score_spread":0.2022448605362373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095557320","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40570363,0.00002095798,0.001369567,0.00011307494,0.00027294413,0.000022536122,0.0000013027086,0.0000053507183,0.5924906],"genre_scores_gemma":[0.99291813,0.0024091494,0.0026126818,0.000030263862,0.000251308,2.7516145e-7,6.349508e-7,0.000013841308,0.0017637041],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99889994,0.0000101556825,0.0006427919,0.000114267874,0.000029848525,0.0003029937],"domain_scores_gemma":[0.9993224,0.00013597443,0.00021092332,0.0001532627,0.00008191181,0.00009550515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072149327,0.000051977313,0.00020227159,0.0004202351,0.00006497185,0.000051097835,0.00019141285,0.000057886697,0.0005312627],"category_scores_gemma":[0.00014267747,0.000055632794,0.00006976164,0.00018885452,0.00006163756,0.00016832331,0.000037565907,0.00019559341,0.00041010225],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025564758,0.00022282056,0.25908732,0.000033393295,0.0000853973,0.00007862917,0.0024684973,0.00007076312,0.0001303902,0.4865644,0.018694682,0.23230806],"study_design_scores_gemma":[0.0016942736,0.00049484265,0.08644041,0.000020902045,0.000004783515,0.00007844728,0.0017317329,0.0011510008,0.0011120894,0.1857106,0.72107154,0.00048937864],"about_ca_topic_score_codex":0.00036490225,"about_ca_topic_score_gemma":0.0001575223,"teacher_disagreement_score":0.70237684,"about_ca_system_score_codex":0.000107524356,"about_ca_system_score_gemma":0.00002743759,"threshold_uncertainty_score":0.58169544},"labels":[],"label_agreement":null},{"id":"W7095571125","doi":"","title":"Queen’s University","year":2006,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Warrant; Robustness (evolution); Statistical analysis","score_opus":0.011632802854599387,"score_gpt":0.15109690864003686,"score_spread":0.13946410578543747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095571125","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10372601,0.000012361067,0.0030888468,0.0004987918,0.00014811351,0.000027111922,0.000009751698,0.000057798647,0.8924312],"genre_scores_gemma":[0.9615101,0.000034500612,0.0010368137,0.00007343543,0.000075822216,1.855992e-7,0.0000056526155,0.0000075559783,0.037255883],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.999571,0.0000024919223,0.00013988276,0.00015076186,0.0000047459707,0.00013110127],"domain_scores_gemma":[0.99977607,0.000010561816,0.00005739464,0.00012655914,0.0000048929273,0.000024536877],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00011061327,0.000050395825,0.000112278496,0.00008085589,0.000053962467,0.000024235673,0.000087659406,0.00004034046,0.0012516503],"category_scores_gemma":[0.0000045267775,0.00006723573,0.00004875029,0.00006602569,0.000019680934,0.00012038444,0.000022820348,0.00003524438,0.0018906874],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003761145,0.000020698913,0.08232176,0.0000019406184,0.0000036970002,0.0000022562408,0.000009563011,0.000049349994,0.0000012601537,0.9037438,0.0135141825,0.00032770273],"study_design_scores_gemma":[0.00026379066,0.0000082880915,0.04087639,9.194401e-7,0.0000011369295,7.5434247e-7,0.000027842607,0.00089623657,0.000022086988,0.066071056,0.8916678,0.00016368536],"about_ca_topic_score_codex":0.0030976527,"about_ca_topic_score_gemma":0.00011129695,"teacher_disagreement_score":0.8781536,"about_ca_system_score_codex":0.00007629719,"about_ca_system_score_gemma":0.0000053863364,"threshold_uncertainty_score":0.9996613},"labels":[],"label_agreement":null},{"id":"W7095612506","doi":"","title":"Modelling Mortgage Rate Changes with a Smooth Transition Error-Correction Model","year":2001,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transition (genetics); Work (physics); Stability (learning theory)","score_opus":0.05256444462277081,"score_gpt":0.20520599221385274,"score_spread":0.15264154759108195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095612506","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3550827,0.000034759654,0.50820076,0.0005971482,0.00019941917,0.000107980886,0.0000078225785,0.00009423019,0.13567518],"genre_scores_gemma":[0.9917935,0.00068411964,0.0033281723,0.00041400862,0.00010703659,0.000023500827,0.000020418962,0.000042375763,0.0035868601],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990472,0.000008487007,0.00025406407,0.00037663543,0.000017968832,0.0002956461],"domain_scores_gemma":[0.9995383,0.000016871152,0.00013789628,0.00021482576,0.00001951329,0.00007259883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040184916,0.00016240013,0.0002736547,0.00020708788,0.00013689663,0.00008402554,0.00008777146,0.000093171955,0.00026923657],"category_scores_gemma":[0.0000043296964,0.00017504924,0.00005841152,0.00017038839,0.00002753101,0.00033551586,0.000010122819,0.00012374212,0.0001644768],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009065372,0.00004304172,0.00078862923,0.000008631525,0.00001864799,0.0000034574448,0.0005625107,0.991262,0.000009858396,0.0051087122,0.00030731133,0.00179651],"study_design_scores_gemma":[0.00038884173,0.00005594449,0.00007463999,0.000010849941,0.000006959529,0.000007537253,0.00010618609,0.98891884,0.000030480272,0.006155742,0.0039761565,0.00026784115],"about_ca_topic_score_codex":0.00039607228,"about_ca_topic_score_gemma":0.00050974434,"teacher_disagreement_score":0.6367108,"about_ca_system_score_codex":0.00009603228,"about_ca_system_score_gemma":0.000014292333,"threshold_uncertainty_score":0.71383005},"labels":[],"label_agreement":null},{"id":"W7095774459","doi":"","title":"Title Computer Algebra Systems (CAS) in University Mathematics Instruction: A Preliminary","year":2011,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wish; Software; Symbolic computation; Computer software; Core-Plus Mathematics Project; Reform mathematics","score_opus":0.036791473333748166,"score_gpt":0.16999077762615564,"score_spread":0.13319930429240748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095774459","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12240345,0.000028299535,0.004736321,0.00001286224,0.00048021035,0.00005360876,0.0000044993794,0.00002805017,0.8722527],"genre_scores_gemma":[0.98841023,0.00006201433,0.0069886344,0.00001877061,0.0000596149,5.6054e-7,0.0000019840104,0.000009557564,0.004448638],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996768,0.0000028084605,0.00013891775,0.00009959578,0.00000534593,0.00007648554],"domain_scores_gemma":[0.9998068,0.000006919648,0.00005401167,0.000107497974,0.000004123151,0.000020609277],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00009403872,0.000042520092,0.000110236244,0.000092810566,0.000017599543,0.000011308541,0.000071056165,0.000044878,0.0013657012],"category_scores_gemma":[0.0000020577838,0.000051986164,0.000023377244,0.00005927366,0.000013796485,0.00007959333,0.000029162484,0.000039694907,0.0018405945],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016573007,0.00011121606,0.023922816,0.000063817315,0.000022301685,0.000014988293,0.0011482537,0.00003162188,1.8376052e-7,0.96280444,0.007914167,0.003949635],"study_design_scores_gemma":[0.0024667976,0.00030894313,0.094320975,0.00010559901,0.000017414884,0.00010601285,0.0016971428,0.4058426,0.000029866233,0.07605858,0.4177493,0.0012967895],"about_ca_topic_score_codex":0.00015983346,"about_ca_topic_score_gemma":0.000012332043,"teacher_disagreement_score":0.88674587,"about_ca_system_score_codex":0.000051207546,"about_ca_system_score_gemma":0.000005199529,"threshold_uncertainty_score":0.9995472},"labels":[],"label_agreement":null},{"id":"W7095891952","doi":"","title":"Household Risk Management and Optimal Mortgage Choice,’’ Quarterly","year":2003,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Risk management; Work (physics); Default risk; Quarter (Canadian coin); Risk assessment","score_opus":0.0217336893843824,"score_gpt":0.19026457220733634,"score_spread":0.16853088282295392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095891952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50344104,0.00024814656,0.003953856,0.000028068256,0.00021655299,0.00010934716,0.000020875452,0.000057532616,0.49192458],"genre_scores_gemma":[0.98467326,0.0009338769,0.0092362175,0.00015194567,0.00004767112,0.000014130295,0.0000031294987,0.00003322829,0.00490656],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99889874,0.000013219279,0.00038545742,0.00039110568,0.000015150909,0.00029633753],"domain_scores_gemma":[0.99940366,0.000032622094,0.00015452114,0.00030490212,0.000004230559,0.00010004218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049335277,0.00014727937,0.00025661202,0.00015430781,0.00012953287,0.00013723796,0.0001052915,0.00006802175,0.00046777676],"category_scores_gemma":[0.000017534365,0.00017420627,0.00006551082,0.000089596106,0.00003915358,0.00020800768,0.000021482185,0.00010975758,0.00034221014],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010203751,0.0001038031,0.4677191,0.00003610279,0.00012330296,0.000009452956,0.00031912068,0.0002738214,7.873251e-7,0.5152993,0.0033023339,0.012802641],"study_design_scores_gemma":[0.0023659829,0.00023447948,0.16821945,0.000011287544,0.00003852491,0.000015480346,0.0005901579,0.0054502552,0.000026670128,0.059807453,0.76214653,0.0010937172],"about_ca_topic_score_codex":0.00016458181,"about_ca_topic_score_gemma":0.00004143199,"teacher_disagreement_score":0.7588442,"about_ca_system_score_codex":0.000043541684,"about_ca_system_score_gemma":0.0000034963152,"threshold_uncertainty_score":0.7103926},"labels":[],"label_agreement":null},{"id":"W7095945553","doi":"","title":"Effects of Proximity to Delta Ponds City Park on Real Home Prices","year":2012,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Work (physics); Pedestrian; Property value; Delta; Bridge (graph theory); Willingness to pay; Public park","score_opus":0.023860366390400428,"score_gpt":0.2187558465718328,"score_spread":0.19489548018143238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095945553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77388656,0.000054875636,0.00055676256,0.00011128946,0.00043784323,0.00020615163,0.000016059097,0.000035920253,0.22469452],"genre_scores_gemma":[0.99762034,0.00013970344,0.001202507,0.00024428585,0.0001627847,0.000019741097,0.000004356101,0.000020077896,0.0005862016],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989129,0.000010382402,0.00041722067,0.0002543531,0.000024266,0.00038092374],"domain_scores_gemma":[0.9991836,0.00013099439,0.00020033713,0.00028512412,0.000014560833,0.00018538247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006716665,0.00014063866,0.00038824248,0.00019192995,0.000055536104,0.00003054123,0.00018977003,0.000101937265,0.00023061615],"category_scores_gemma":[0.00011416932,0.00014976699,0.00009238857,0.00017109902,0.000026100157,0.00029927012,0.000077064426,0.000088576286,0.00044548165],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013586985,0.0005743985,0.75609785,0.00017544677,0.000068670946,9.4831796e-7,0.0008692179,0.000029733304,0.00012299664,0.23369731,0.002730191,0.005497364],"study_design_scores_gemma":[0.00076941453,0.00031723158,0.9634313,0.000027540977,0.000012825526,0.0000013543472,0.000033535795,0.00048229596,0.0042874604,0.009377971,0.020670895,0.0005882037],"about_ca_topic_score_codex":0.00031754942,"about_ca_topic_score_gemma":0.000037969425,"teacher_disagreement_score":0.22431934,"about_ca_system_score_codex":0.00009315881,"about_ca_system_score_gemma":0.000010333547,"threshold_uncertainty_score":0.6107321},"labels":[],"label_agreement":null},{"id":"W7095968890","doi":"","title":"Mogush, Krizek, and Levinson Page 1 The Value of Trail Access on Home Purchases","year":2009,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Space (punctuation); Value (mathematics); Situated; Property value; Quarter (Canadian coin)","score_opus":0.0447770996174879,"score_gpt":0.2388909523179235,"score_spread":0.1941138527004356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095968890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7807993,0.00024074214,0.00024429534,0.0023063011,0.0001459941,0.0001239861,0.000030585034,0.000025030882,0.21608375],"genre_scores_gemma":[0.99689853,0.0009683201,0.00013768993,0.001137088,0.00007395309,0.0000035760897,0.0000033647111,0.000012397078,0.0007650643],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990987,0.000011124334,0.0004032802,0.00026209082,0.000020245187,0.00020451234],"domain_scores_gemma":[0.99935776,0.00009893217,0.00018685976,0.0002941936,0.000009233556,0.000053023166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043610195,0.00012703522,0.0003187184,0.0001238805,0.00008967976,0.0001200387,0.00027966517,0.000068497604,0.00024765893],"category_scores_gemma":[0.0000553421,0.000105867584,0.00008057633,0.00011233784,0.00006745866,0.00022933836,0.000041664414,0.000097550284,0.000057309597],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013147095,0.00032678727,0.039251033,0.000050986164,0.00006680622,0.000003451195,0.00088315277,0.00041353612,0.000083489605,0.8641308,0.0049836854,0.0896748],"study_design_scores_gemma":[0.0025774904,0.00089900056,0.5988715,0.00007183943,0.00002888151,0.000013577405,0.0003288742,0.016473843,0.001342386,0.30270222,0.07555399,0.0011363813],"about_ca_topic_score_codex":0.00016916906,"about_ca_topic_score_gemma":0.000023177774,"teacher_disagreement_score":0.5614286,"about_ca_system_score_codex":0.000028942395,"about_ca_system_score_gemma":0.000009214323,"threshold_uncertainty_score":0.43171546},"labels":[],"label_agreement":null},{"id":"W7096324866","doi":"","title":"U.S. House Price Dynamics and Behavioral Finance","year":2013,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Boom; House price; Behavioral economics; Metropolitan area; Baby boom; Dynamics (music); Behavioral pattern; China","score_opus":0.0215876561355293,"score_gpt":0.20585469186828367,"score_spread":0.18426703573275438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096324866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8288644,0.00014227667,0.001784798,0.0005001981,0.0002156877,0.00014981999,0.00001278209,0.000102418846,0.16822763],"genre_scores_gemma":[0.9918182,0.00057415396,0.002901529,0.00023524901,0.000043729095,0.000023617325,0.0000044443696,0.000036990477,0.004362109],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990666,0.0000036139181,0.00034004633,0.00030577928,0.0000111034815,0.00027286133],"domain_scores_gemma":[0.99952376,0.000019873956,0.00012759706,0.00024359922,0.000014947251,0.000070223985],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001565937,0.0001236001,0.00024103197,0.00009459651,0.00008178686,0.00015714805,0.00013025728,0.000087907414,0.00087936054],"category_scores_gemma":[0.000014877296,0.00014527519,0.000044365628,0.000086537264,0.000057784717,0.00041236583,0.00007298811,0.00009360573,0.002028702],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000087402195,0.00019161812,0.35019475,0.000028375094,0.000021731294,0.0000034780442,0.00038037568,0.000039688828,0.000010750994,0.5940799,0.007914241,0.047126323],"study_design_scores_gemma":[0.002057258,0.00031675602,0.44095847,0.000024420842,0.000016180016,0.000041461957,0.00044741103,0.30897123,0.00007963012,0.16150337,0.08347648,0.0021073415],"about_ca_topic_score_codex":0.00080881605,"about_ca_topic_score_gemma":0.00014173373,"teacher_disagreement_score":0.43257654,"about_ca_system_score_codex":0.00008469609,"about_ca_system_score_gemma":0.000007867925,"threshold_uncertainty_score":0.99874836},"labels":[],"label_agreement":null},{"id":"W7096371384","doi":"","title":"Inflation Dynamics over the Last Quarter Century Tsutomu Watanabe","year":2008,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic rent; Inflation (cosmology); Quarter (Canadian coin); Poisson distribution; Panel data; Inflation rate; Hazard","score_opus":0.014343940041040561,"score_gpt":0.18265176148314038,"score_spread":0.16830782144209983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096371384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6383453,0.00007575027,0.0017708967,0.00060086977,0.00050897914,0.00010489178,0.00002445069,0.000056671186,0.35851216],"genre_scores_gemma":[0.99720234,0.0005903662,0.0002241046,0.00054593576,0.0001715652,0.0000068364157,0.000033943583,0.000022612543,0.0012022799],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99903685,0.000009490119,0.00042452567,0.00024868245,0.000022712224,0.00025773727],"domain_scores_gemma":[0.99936634,0.000047211288,0.00016387728,0.00035611267,0.000014354966,0.000052091065],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002762351,0.00012556839,0.00020151425,0.00009687031,0.00023004916,0.000069006004,0.00019379242,0.00008864276,0.0011661936],"category_scores_gemma":[0.000026723914,0.00011083474,0.000099217374,0.00013305056,0.00007129491,0.00030059126,0.000048422135,0.00012857681,0.0010888302],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023543509,0.00008997579,0.5998823,0.0000141302435,0.00007016916,0.0000064607357,0.0015547362,0.00050127384,0.0000035644214,0.36521107,0.027832022,0.0048107295],"study_design_scores_gemma":[0.0008179348,0.000048772657,0.46564266,0.000005908842,0.0000070163023,0.0000232086,0.0003518813,0.15269044,0.000010246716,0.015987843,0.3638533,0.0005608047],"about_ca_topic_score_codex":0.00017399696,"about_ca_topic_score_gemma":0.00028935194,"teacher_disagreement_score":0.35885704,"about_ca_system_score_codex":0.00015381287,"about_ca_system_score_gemma":0.000014016851,"threshold_uncertainty_score":0.99974686},"labels":[],"label_agreement":null},{"id":"W7096563659","doi":"","title":"Bureau of Economic Research)","year":2012,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Quarter (Canadian coin); Incentive; Census tract; Securitization; Margin (machine learning)","score_opus":0.18738501861260956,"score_gpt":0.338489570284068,"score_spread":0.15110455167145845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096563659","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16974902,0.00036883843,0.00015857963,0.00016518962,0.00049995485,0.00006731669,0.000008616309,0.000021009537,0.8289615],"genre_scores_gemma":[0.9961853,0.00019460364,0.00076001656,0.000038574166,0.00025768095,0.000005098111,0.0000052952596,0.00002062722,0.0025328123],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989448,0.0000141200635,0.00044153468,0.00016344077,0.000014654654,0.0004214532],"domain_scores_gemma":[0.999363,0.000080426325,0.0001269601,0.0003063928,0.000012698363,0.00011051277],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0018427819,0.000074843345,0.00025681255,0.00024691728,0.00005923218,0.000023210192,0.00018661433,0.00007642821,0.0029999402],"category_scores_gemma":[0.00005768256,0.00008804237,0.00007955483,0.00008335502,0.000089587505,0.00030964482,0.000078031,0.00010610068,0.0051502693],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000065621716,0.000041919913,0.084444866,0.000008922727,0.000014306964,7.567268e-8,0.00019655489,0.000012500846,0.000010383921,0.90881085,0.0053500165,0.001103054],"study_design_scores_gemma":[0.0005693221,0.0000749163,0.014438201,0.000009330532,0.0000036056151,0.000005496373,0.00028712995,0.0013270567,0.0009453714,0.68440205,0.2975191,0.00041844617],"about_ca_topic_score_codex":0.00069165486,"about_ca_topic_score_gemma":0.00003308807,"teacher_disagreement_score":0.8264363,"about_ca_system_score_codex":0.00012821783,"about_ca_system_score_gemma":0.000012459312,"threshold_uncertainty_score":0.99791145},"labels":[],"label_agreement":null},{"id":"W7096695541","doi":"","title":"BLOCK TRANSFER AGREEMENT EVALUATION PROJECT Presented to the British Columbia Council on Admissions and Transfer Prepared by Helena Bastedo","year":2010,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transfer (computing); Block (permutation group theory); Block grant; Transfer function","score_opus":0.04840515828634842,"score_gpt":0.230386640591216,"score_spread":0.18198148230486758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096695541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89949363,0.00009368758,0.00029138444,0.0015407647,0.0004320466,0.00156286,0.00031445967,0.000045049906,0.0962261],"genre_scores_gemma":[0.98666227,0.00020461612,0.00009393798,0.0007363651,0.00009488713,0.00022116199,0.000034819856,0.0000314976,0.011920454],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984613,0.000035239515,0.00050205656,0.0005497218,0.00012720561,0.00032447392],"domain_scores_gemma":[0.99922144,0.00006635471,0.000034060242,0.00038224223,0.00010952368,0.00018636609],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017065965,0.00014341336,0.00027312324,0.00004173014,0.00045615988,0.0009035004,0.0002033853,0.00012661741,0.0025088168],"category_scores_gemma":[0.00026220156,0.00017613538,0.00008075168,0.0001610885,0.000033223147,0.00014347649,0.000025957794,0.00020500888,0.00011120797],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025377196,0.0009378517,0.022486927,0.00007703922,0.00027256194,0.0000030905776,0.0033013022,0.00024461228,0.001297064,0.0011491175,0.9112017,0.058774974],"study_design_scores_gemma":[0.0018829885,0.0002968958,0.0077104913,0.00003393524,0.00003637177,0.000012240928,0.00019109424,0.019887429,0.00017274871,0.0005349649,0.9687536,0.00048727344],"about_ca_topic_score_codex":0.015622288,"about_ca_topic_score_gemma":0.20458671,"teacher_disagreement_score":0.18896443,"about_ca_system_score_codex":0.00015807542,"about_ca_system_score_gemma":0.00019319808,"threshold_uncertainty_score":0.998403},"labels":[],"label_agreement":null},{"id":"W7097082354","doi":"","title":"Reflections on the Foreclosure Crisis","year":2013,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Foreclosure; Quarter (Canadian coin); Forbearance; Mortgage insurance; Floating interest rate","score_opus":0.07111816768650916,"score_gpt":0.25272149684723777,"score_spread":0.1816033291607286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097082354","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09491013,0.000018523257,0.0006061642,0.014487114,0.00032562806,0.00013100635,0.000005374558,0.00004932756,0.88946676],"genre_scores_gemma":[0.9903722,0.00007412512,0.00039630046,0.003443158,0.00011180251,0.00004894568,0.000001830421,0.000015429374,0.0055362196],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99938804,0.0000063628972,0.00023637676,0.00018262601,0.000009518979,0.0001770938],"domain_scores_gemma":[0.99951124,0.00006266126,0.00007514023,0.00029801292,0.000012823757,0.00004011828],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00023934155,0.000077564066,0.0001252653,0.00007653771,0.0001733724,0.00012736127,0.00014789376,0.000053034157,0.009498072],"category_scores_gemma":[0.00004710909,0.00006056708,0.0000794424,0.000111308655,0.00002109847,0.00013424238,0.000023601884,0.000098588214,0.013134044],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019706522,0.000026339638,0.002986977,0.0000015819462,0.000018215693,9.654652e-8,0.00014039697,0.00002467017,0.000003010069,0.80586284,0.19000868,0.0009252265],"study_design_scores_gemma":[0.00016574198,0.00006569172,0.008209858,0.0000028011034,0.0000026232422,0.0000019025307,0.0005562833,0.0022134392,0.00008528596,0.50281256,0.4856314,0.0002524123],"about_ca_topic_score_codex":0.000576917,"about_ca_topic_score_gemma":0.00008514213,"teacher_disagreement_score":0.89546204,"about_ca_system_score_codex":0.00004633775,"about_ca_system_score_gemma":0.0000046028154,"threshold_uncertainty_score":0.9914074},"labels":[],"label_agreement":null},{"id":"W7097114490","doi":"","title":"Département d’économiqueDEMOGRAPHIC CHANGES AND","year":2000,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Database transaction; Asset (computer security); Real property; Real interest rate; Real wages; Population; Monetary policy","score_opus":0.029498556237271163,"score_gpt":0.19423043259487552,"score_spread":0.16473187635760436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097114490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.506989,0.00029134494,0.000056991463,0.0011776749,0.000082573526,0.00007203671,0.000007540794,0.00004444556,0.49127838],"genre_scores_gemma":[0.98544574,0.0043385522,0.0005780536,0.0009983816,0.00009568703,0.000017222845,0.000004401716,0.00001767389,0.008504294],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99925804,0.000004434721,0.00024580193,0.00027647597,0.0000060551724,0.00020918343],"domain_scores_gemma":[0.9996701,0.000015741618,0.000056840134,0.00017525871,0.000003240364,0.000078820936],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00027807843,0.00010067997,0.00021298524,0.00011072245,0.000075509415,0.000075364966,0.00007936695,0.000057840647,0.008120038],"category_scores_gemma":[0.000004498796,0.00011805395,0.00003710204,0.000064655374,0.000047365476,0.00011384618,0.000018738558,0.00005043196,0.00089707854],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035681755,0.000090475376,0.18528762,0.000032785912,0.00008417411,0.0000030012084,0.0003566335,0.00003227517,0.000009231825,0.37320265,0.0065831323,0.43428233],"study_design_scores_gemma":[0.0005297574,0.00007724675,0.021028703,0.0000057289503,0.0000038646576,0.0000061381484,0.00003534378,0.0041684806,0.00003026787,0.042090572,0.93165755,0.00036635716],"about_ca_topic_score_codex":0.00012925205,"about_ca_topic_score_gemma":0.00015632689,"teacher_disagreement_score":0.9250744,"about_ca_system_score_codex":0.00001873434,"about_ca_system_score_gemma":0.0000031893655,"threshold_uncertainty_score":0.99988085},"labels":[],"label_agreement":null},{"id":"W7097191727","doi":"","title":"The Cost Effectiveness of Community-Based Foreclosure Prevention","year":2004,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Foreclosure; Recidivism; Receipt; Loan; Proxy (statistics); Quarter (Canadian coin); Program evaluation","score_opus":0.051108704662119184,"score_gpt":0.2532527591528734,"score_spread":0.20214405449075418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097191727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8384108,0.00007448242,0.028800342,0.00023155037,0.00027370607,0.00032401877,0.00001714509,0.000028870003,0.13183911],"genre_scores_gemma":[0.9994173,0.000041673644,0.00031841503,0.000055239558,0.000014534686,0.00002263436,0.000017427725,0.000012234574,0.00010052753],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993937,0.000066337576,0.0003090241,0.00007959941,0.000011974428,0.0001393559],"domain_scores_gemma":[0.99918485,0.00028458794,0.00017198465,0.00031206413,0.000020441206,0.000026076714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021683788,0.00007301234,0.0001917333,0.000055448574,0.00024142538,0.000036826255,0.00019706947,0.00005644143,0.00003222855],"category_scores_gemma":[0.00006873197,0.00006565162,0.000103173166,0.000099020865,0.00007639859,0.000084001906,0.00002900848,0.00012663231,0.00007581717],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024185171,0.00042184265,0.056844853,0.00024675284,0.00009149436,3.6727997e-7,0.00024734615,0.009149379,0.00005792016,0.92009157,0.0001637711,0.012442855],"study_design_scores_gemma":[0.0038780584,0.0003867198,0.10126409,0.000093834096,0.000012283192,0.0000018000593,0.00019318411,0.0010822092,0.0054216404,0.84894174,0.038354818,0.00036961207],"about_ca_topic_score_codex":0.00034846974,"about_ca_topic_score_gemma":0.0002451807,"teacher_disagreement_score":0.16100654,"about_ca_system_score_codex":0.00010140167,"about_ca_system_score_gemma":0.000027579761,"threshold_uncertainty_score":0.26771957},"labels":[],"label_agreement":null},{"id":"W7097195548","doi":"","title":"The Elusive Canadian Housing Bubble SCHULICH SCHOOL OF BUSINESS","year":2010,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bubble; Economic bubble; Valuation (finance); House price; Decoupling (probability)","score_opus":0.012870816276749776,"score_gpt":0.18459005946789714,"score_spread":0.17171924319114737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097195548","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4559123,0.00008788109,0.00022473678,0.0013746918,0.001138001,0.00011336121,0.000022439446,0.000022038528,0.54110456],"genre_scores_gemma":[0.99593735,0.00018953375,0.0008462046,0.00024650482,0.00021014528,0.00000603233,0.000004505122,0.000026475282,0.002533249],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989129,0.000005197885,0.00045608263,0.00022879177,0.000018377777,0.00037866607],"domain_scores_gemma":[0.99899554,0.00006539653,0.00020713935,0.00044465184,0.00008693795,0.00020035585],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006420151,0.00011506796,0.00024139711,0.00018763263,0.0003280499,0.00015657242,0.00034161637,0.00011804827,0.0012402027],"category_scores_gemma":[0.00037735922,0.00010731713,0.000064180174,0.000283195,0.00010921501,0.00020077283,0.000051210878,0.00021517777,0.0009482739],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037307305,0.00006589523,0.42140633,0.000043568336,0.00011763222,0.000005876403,0.00027320892,0.0003499051,0.00046169362,0.5411907,0.016548807,0.019499067],"study_design_scores_gemma":[0.0005351723,0.000020215532,0.11036469,0.000011504847,0.0000074348336,0.000007500829,0.000194521,0.0037144928,0.00041806122,0.0319727,0.8522621,0.00049163227],"about_ca_topic_score_codex":0.15409648,"about_ca_topic_score_gemma":0.43286428,"teacher_disagreement_score":0.83571327,"about_ca_system_score_codex":0.00008824332,"about_ca_system_score_gemma":0.00022827376,"threshold_uncertainty_score":0.9998296},"labels":[],"label_agreement":null},{"id":"W7097246655","doi":"","title":"SUMMARY","year":2010,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Appeal; Zoning; Subject (documents); Position (finance); Service (business); Postal service","score_opus":0.019506453897194537,"score_gpt":0.19340321088802903,"score_spread":0.17389675699083448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097246655","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22159474,0.000018944513,0.0004496287,0.0003645128,0.0008954367,0.000029256444,0.000005608089,0.00005233434,0.7765895],"genre_scores_gemma":[0.9875411,0.000049803377,0.0027325826,0.00039085714,0.00019036385,0.000003518663,0.000004430874,0.000014745079,0.009072592],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.999453,0.0000011460527,0.00021569624,0.00016972433,0.000005282373,0.00015511837],"domain_scores_gemma":[0.9996387,0.000017133945,0.000058181828,0.00022524685,0.000005069125,0.000055663066],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00026313594,0.000059297152,0.00012874528,0.00007299055,0.000047141522,0.000049325186,0.00012549416,0.00006502057,0.004437963],"category_scores_gemma":[0.000037882382,0.000069712194,0.000051080817,0.000051888066,0.000027750095,0.00013019529,0.000030264326,0.00012538157,0.0040289485],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032992273,0.000026927974,0.09311284,0.0000033245497,0.000007648425,0.0000010709213,0.000042620282,0.0000018928407,0.000108813365,0.88674366,0.013574675,0.006373218],"study_design_scores_gemma":[0.00018800388,0.00000959531,0.010985832,7.747201e-7,7.4257076e-7,0.0000033831845,0.000010157543,0.0014279514,0.00012378932,0.1043958,0.882663,0.00019096557],"about_ca_topic_score_codex":0.0000945423,"about_ca_topic_score_gemma":0.00013122991,"teacher_disagreement_score":0.86908835,"about_ca_system_score_codex":0.000009818309,"about_ca_system_score_gemma":0.0000059086606,"threshold_uncertainty_score":0.99674654},"labels":[],"label_agreement":null},{"id":"W7097344591","doi":"","title":"Committee on Public Services and Consumer Affairs JOINT PUBLIC OVERSIGHT ROUNDTABLE ON AFFORDABLE HOUSING","year":2008,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Foreclosure; Loan; Quarter (Canadian coin); Metropolitan area; Financial services; Government (linguistics); Juvenile delinquency","score_opus":0.07510500119650776,"score_gpt":0.20318578432897227,"score_spread":0.12808078313246452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097344591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54277897,0.0002314007,0.00020276206,0.0020481108,0.00037695232,0.00013431549,0.000023119843,0.00010235282,0.454102],"genre_scores_gemma":[0.98945487,0.0012337303,0.00056919985,0.0016600149,0.000105194216,0.000010713514,0.00002402647,0.00005341809,0.006888863],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981534,0.000020948253,0.00055169256,0.0005899199,0.000053818247,0.0006302612],"domain_scores_gemma":[0.9988506,0.000103088794,0.00028461026,0.00050138286,0.000030888263,0.00022943623],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005279148,0.00028295867,0.0005590502,0.0004785358,0.00049649226,0.00068451255,0.0002275364,0.00016618257,0.00082634296],"category_scores_gemma":[0.00003643841,0.0003099613,0.00011101143,0.00024210499,0.0001052775,0.0014681669,0.00012229056,0.00022707832,0.00093725487],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011566065,0.0008088362,0.3257771,0.00020525619,0.0002870207,0.0000372327,0.0011163482,0.00017421003,0.000028997047,0.6480073,0.019134307,0.0043077264],"study_design_scores_gemma":[0.0026153165,0.00033462452,0.016883919,0.00005508728,0.000011937595,0.000045232937,0.00090461597,0.006529898,0.0001416212,0.012544495,0.9586513,0.0012819595],"about_ca_topic_score_codex":0.0005366986,"about_ca_topic_score_gemma":0.00042689918,"teacher_disagreement_score":0.93951696,"about_ca_system_score_codex":0.00036548078,"about_ca_system_score_gemma":0.00004107087,"threshold_uncertainty_score":0.99993527},"labels":[],"label_agreement":null},{"id":"W7097364681","doi":"","title":"Financial Impact","year":2009,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Fence (mathematics); Enclosure; Work (physics); Section (typography); Fish <Actinopterygii>","score_opus":0.02091441325742997,"score_gpt":0.21968820960804933,"score_spread":0.19877379635061937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097364681","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3607032,0.0000750544,0.0016790099,0.00045721483,0.00019011117,0.00004469435,0.00000890096,0.000053930562,0.6367879],"genre_scores_gemma":[0.9967681,0.000066537184,0.0007168399,0.0008077509,0.00015802842,0.0000010555491,0.000004202393,0.00000708785,0.0014703588],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99930894,0.0000021311766,0.00026886442,0.0001879706,0.000007312776,0.00022476245],"domain_scores_gemma":[0.99967295,0.000009193921,0.00007791542,0.00018305841,0.0000060236507,0.000050871295],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00021089657,0.00008735729,0.00020098954,0.000097547185,0.00005295472,0.000056212157,0.000114181596,0.00006302525,0.0019900035],"category_scores_gemma":[0.000053932206,0.000093990086,0.000117318166,0.00009287906,0.000012151874,0.00016463306,0.000010480853,0.00006419166,0.00212302],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028596587,0.0000986493,0.044784,0.0000023761268,0.000010724976,0.0000041297776,0.00012211774,0.00011074851,0.00001711995,0.87605333,0.028727762,0.050040413],"study_design_scores_gemma":[0.00054994767,0.00019537495,0.2998797,0.0000031802783,0.0000018701244,0.000006565231,0.000006664368,0.0031007724,0.00005399111,0.59274507,0.103039384,0.0004174572],"about_ca_topic_score_codex":0.00006242532,"about_ca_topic_score_gemma":0.000008382609,"teacher_disagreement_score":0.63606495,"about_ca_system_score_codex":0.000068641624,"about_ca_system_score_gemma":0.000015090461,"threshold_uncertainty_score":0.9989223},"labels":[],"label_agreement":null},{"id":"W7097445497","doi":"","title":"THE PROPERTY TAX AS A TAX ON VALUE:","year":2002,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ad valorem tax; Value-added tax; Indirect tax; Tax credit; Tax reform; Tax rate; Property tax","score_opus":0.039346136857503246,"score_gpt":0.1963629939298201,"score_spread":0.15701685707231686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097445497","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032241628,0.00020605318,0.00011543565,0.005784984,0.0005321288,0.00015801839,0.0000119013785,0.000054703058,0.9608951],"genre_scores_gemma":[0.7798093,0.0011842648,0.00018516122,0.0015824399,0.00017730388,0.000023180757,0.0000013788919,0.000029322977,0.21700765],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99899346,0.000011175142,0.00036472254,0.00029580385,0.000020849506,0.000313998],"domain_scores_gemma":[0.99928665,0.00007689285,0.00013491811,0.00041958145,0.000009845642,0.000072129485],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00045270313,0.00012655907,0.0001954811,0.000063987405,0.00029484177,0.00019175565,0.0002680871,0.00007195913,0.003105602],"category_scores_gemma":[0.00014414954,0.00008126929,0.00009845101,0.00010192155,0.000058794252,0.000115895455,0.000046121855,0.0001318227,0.01799218],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033776538,0.00015324363,0.00467291,0.0000087333365,0.000056178487,0.0000048602656,0.00031330003,0.00017011403,0.0000032982261,0.69366634,0.23611562,0.06480162],"study_design_scores_gemma":[0.00025426413,0.00008296895,0.0005018822,0.0000039425904,0.0000016261731,0.0000036798463,0.000033453696,0.023099823,0.000027858849,0.02097482,0.9548223,0.00019335761],"about_ca_topic_score_codex":0.00046474978,"about_ca_topic_score_gemma":0.00008781948,"teacher_disagreement_score":0.74756765,"about_ca_system_score_codex":0.000085456224,"about_ca_system_score_gemma":0.0000060815337,"threshold_uncertainty_score":0.9978057},"labels":[],"label_agreement":null},{"id":"W7097529305","doi":"","title":"Bureau of Labor Statistics","year":2011,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic rent; Renting; Payment; Durable good; Collateralized debt obligation; Quarter (Canadian coin); Panel Study of Income Dynamics","score_opus":0.07282526250024753,"score_gpt":0.22990078786208087,"score_spread":0.15707552536183333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097529305","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060436193,0.0000686126,0.012177316,0.000029542784,0.0002770182,0.000047845562,0.0001268971,0.000023806362,0.92681277],"genre_scores_gemma":[0.9653634,0.00016824431,0.0321674,0.00010865518,0.000029919187,0.0000023173602,0.000008471019,0.000014892071,0.0021367036],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993686,0.0000027055842,0.00035810354,0.00013193015,0.0000073161586,0.00013133959],"domain_scores_gemma":[0.99958277,0.000018439967,0.00015491547,0.00018579543,0.000018061044,0.000040035735],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00018648212,0.000061722116,0.00020081297,0.000081141436,0.000018996217,0.000007885846,0.00011064352,0.000044081127,0.0038558822],"category_scores_gemma":[0.00003995395,0.00007141292,0.00003306932,0.0000677784,0.000038835846,0.00007575006,0.000024910174,0.00003752727,0.0006308376],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008786062,0.00004268992,0.07047731,0.000011471015,0.000015148919,7.869615e-7,0.00033606135,0.0000013329311,0.0000036678598,0.9254058,0.0019332999,0.0017636733],"study_design_scores_gemma":[0.00053624104,0.00011357149,0.06612721,0.000005963998,0.0000071442923,0.0000020797997,0.0001265913,0.0018292301,0.0006759395,0.8867668,0.043456536,0.00035272],"about_ca_topic_score_codex":0.00061214477,"about_ca_topic_score_gemma":0.000056234137,"teacher_disagreement_score":0.92467606,"about_ca_system_score_codex":0.000016324348,"about_ca_system_score_gemma":0.000007790635,"threshold_uncertainty_score":0.99705476},"labels":[],"label_agreement":null},{"id":"W7097535351","doi":"","title":"Testing Weak-form Efficiency in Greater Toronto Area","year":2009,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Autoregressive integrated moving average; Real estate; Economic rent; Measure (data warehouse); Property market; Residential real estate","score_opus":0.039559905031385095,"score_gpt":0.2100881942061509,"score_spread":0.1705282891747658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097535351","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3903534,0.00007966541,0.00035857345,0.00014449055,0.00012880498,0.000062362684,0.0000024225142,0.000041935844,0.60882837],"genre_scores_gemma":[0.99666584,0.00003744527,0.0014290798,0.0003237867,0.00006260166,0.0000034051222,0.000002432567,0.000011484436,0.0014639432],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99885476,0.0000031622037,0.0004784106,0.0003058287,0.000012999831,0.0003448366],"domain_scores_gemma":[0.9995694,0.000028742783,0.00010585947,0.00022583117,0.000009937003,0.00006020149],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000398797,0.00012471717,0.00026459826,0.00009684004,0.00005493526,0.00007567239,0.0001626311,0.00007572063,0.00108825],"category_scores_gemma":[0.00008126049,0.00013773153,0.000051044863,0.00013149813,0.000015257498,0.00033115176,0.000024533283,0.00006853473,0.00038321485],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027992164,0.00022236179,0.84231085,0.000013633357,0.000010177781,0.000009724513,0.0010515846,0.00034530152,0.000042299842,0.09353471,0.0014331168,0.060998246],"study_design_scores_gemma":[0.001425403,0.00029242592,0.8563177,0.000038969556,0.0000035990668,0.00001467846,0.00030228074,0.061182372,0.00009101176,0.05881196,0.020538,0.000981579],"about_ca_topic_score_codex":0.0010568296,"about_ca_topic_score_gemma":0.00061166316,"teacher_disagreement_score":0.6073644,"about_ca_system_score_codex":0.00025747102,"about_ca_system_score_gemma":0.000010936682,"threshold_uncertainty_score":0.9998249},"labels":[],"label_agreement":null},{"id":"W7097626119","doi":"","title":"that full credit, including © notice, is given to the source. Monetary and Fiscal Stimuli, Ownership Structure, and China&amp;apos;s Housing Market","year":2011,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Beijing; Quarter (Canadian coin); Stimulus (psychology); Real economy; House price; Quality (philosophy); Control (management)","score_opus":0.14025527527560766,"score_gpt":0.25500996481341914,"score_spread":0.11475468953781148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097626119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92576,0.00042372503,0.0033976093,0.001513467,0.00047377226,0.00027487252,0.00010629951,0.000061903615,0.06798838],"genre_scores_gemma":[0.9906982,0.000286049,0.0060995966,0.0011980819,0.00027561633,0.0000051834436,0.000008573314,0.000052519204,0.0013761743],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984079,0.000030938787,0.0004471638,0.00060022785,0.000042784304,0.00047099811],"domain_scores_gemma":[0.9990089,0.00011658806,0.00021640697,0.00042963825,0.000012156989,0.00021631083],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006946387,0.00029069974,0.00044876855,0.00022473358,0.00037822576,0.00024901115,0.00028782088,0.000168035,0.0017226445],"category_scores_gemma":[0.00008796957,0.00024781885,0.00007538506,0.0001477045,0.000121473815,0.00034724182,0.00037719138,0.0002587809,0.00008634012],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067907077,0.0001047341,0.8632328,0.00017184879,0.00035888844,0.000011321211,0.024633832,0.0002857013,0.000041331008,0.0029238483,0.05779536,0.04976129],"study_design_scores_gemma":[0.0013881632,0.0002189559,0.7433891,0.000058755802,0.000077526354,0.00006215294,0.0009238038,0.036430188,0.00014240478,0.025258306,0.19057356,0.0014770636],"about_ca_topic_score_codex":0.0010426844,"about_ca_topic_score_gemma":0.00071964134,"teacher_disagreement_score":0.1327782,"about_ca_system_score_codex":0.0000572602,"about_ca_system_score_gemma":0.000009941366,"threshold_uncertainty_score":0.9999974},"labels":[],"label_agreement":null},{"id":"W7097683127","doi":"","title":"Asset Prices and Armageddon: Do Evangelicals’ ‘End Times’Beliefs A¤ect U.S. House Prices?","year":2008,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Proxy (statistics); Asset (computer security); House price; Quarter (Canadian coin); Panel data; Metropolitan area; Discounting; Face (sociological concept)","score_opus":0.031795156078556444,"score_gpt":0.21228448654838897,"score_spread":0.1804893304698325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097683127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54346776,0.0019358415,0.0007138549,0.0006473724,0.00036420466,0.00022905796,0.000045373665,0.00024976407,0.45234677],"genre_scores_gemma":[0.9835146,0.0071927807,0.004440121,0.0007753174,0.00032497657,0.000022440025,0.000012673643,0.00008926839,0.003627828],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99813235,0.000013818816,0.0006665604,0.0006583317,0.000044713575,0.00048420904],"domain_scores_gemma":[0.99883914,0.00013510106,0.00032963723,0.00045948976,0.000025518586,0.00021113962],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00067372416,0.0002708574,0.000551956,0.00026598634,0.00027514523,0.00019578815,0.00027651046,0.00017228091,0.002080001],"category_scores_gemma":[0.000105981446,0.0002943871,0.00011909271,0.0002285675,0.00015708893,0.0005449971,0.00014784557,0.0002239765,0.0024550369],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018176639,0.00090873113,0.6731373,0.00027341317,0.0004853743,0.00014638843,0.0040039727,0.00017777272,0.000101165635,0.13786264,0.15134783,0.03137365],"study_design_scores_gemma":[0.001667532,0.00020373084,0.17851664,0.000022158842,0.000019151634,0.00014549724,0.000097196775,0.003276718,0.00017663653,0.013418274,0.8011945,0.0012619626],"about_ca_topic_score_codex":0.00016595282,"about_ca_topic_score_gemma":0.00004573265,"teacher_disagreement_score":0.6498467,"about_ca_system_score_codex":0.00008756607,"about_ca_system_score_gemma":0.000032615586,"threshold_uncertainty_score":0.9999508},"labels":[],"label_agreement":null},{"id":"W7097874987","doi":"","title":"*Corresponding author The perfect is the enemy of the good – Voltaire","year":2010,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Price index; Index (typography); Quarter (Canadian coin); Composite index; Consumer price index (South Africa); Metropolitan area; Price level; Producer price index; Wholesale price index","score_opus":0.020207280290967154,"score_gpt":0.21316889587309798,"score_spread":0.19296161558213082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097874987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69826627,0.00007581455,0.00011588836,0.008357895,0.0016089596,0.00018812528,0.000030885967,0.000019992516,0.29133618],"genre_scores_gemma":[0.98795414,0.00004034645,0.00009206589,0.0007821992,0.00018862559,0.000011687757,7.3678126e-7,0.000021845488,0.010908335],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990461,0.000024305757,0.00041777335,0.00023331783,0.000029035265,0.0002494831],"domain_scores_gemma":[0.9986119,0.00026215572,0.00028416977,0.00078962266,0.000017749171,0.000034361285],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014640195,0.00012875618,0.0002185993,0.000059307702,0.00040310068,0.000107355234,0.00075721554,0.000101593156,0.0018076155],"category_scores_gemma":[0.00020426183,0.00006802443,0.0002334426,0.00021837193,0.00017834887,0.000109664135,0.00017210205,0.00034360943,0.00028897976],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028545188,0.000062354564,0.35194772,0.000019426898,0.00008966383,3.6516207e-7,0.0029772785,0.000043072258,0.000517852,0.6067908,0.023825945,0.013697009],"study_design_scores_gemma":[0.0004267621,0.00004353283,0.16299942,0.000013207695,0.00002584047,0.000014322452,0.0009227575,0.012234359,0.0027133478,0.03713255,0.7830836,0.00039024994],"about_ca_topic_score_codex":0.00037837162,"about_ca_topic_score_gemma":0.0004093502,"teacher_disagreement_score":0.7592577,"about_ca_system_score_codex":0.000021940408,"about_ca_system_score_gemma":0.000032036998,"threshold_uncertainty_score":0.99910486},"labels":[],"label_agreement":null},{"id":"W7097922452","doi":"","title":"FEDERAL RESERVE BANK OF DALLAS 21 ECONOMIC REVIEW FOURTH QUARTER 1996 Can Mortgage Applications Help Predict Home Sales?","year":2015,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pace; Quarter (Canadian coin); Private sector; Monetary policy; Index (typography)","score_opus":0.043309449190391924,"score_gpt":0.2394807237161991,"score_spread":0.19617127452580718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097922452","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2772189,0.012357944,0.004467709,0.0072638346,0.0013003737,0.002247108,0.001243171,0.00027102925,0.6936299],"genre_scores_gemma":[0.98409677,0.009140674,0.0019071159,0.0007821929,0.00041810633,0.00019802077,0.00026849983,0.00007724568,0.0031113517],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976953,0.000031910542,0.0012497259,0.00056822575,0.000039935432,0.00041490205],"domain_scores_gemma":[0.99816144,0.00006410268,0.0005976652,0.0008533811,0.000048173497,0.0002752385],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012169746,0.00025082577,0.00083653256,0.00020218677,0.00009597567,0.000092469774,0.0004753606,0.00013323962,0.00068611436],"category_scores_gemma":[0.000050871895,0.00028987016,0.00022524684,0.00014552337,0.00009144126,0.0002979643,0.00012233203,0.00017010156,0.0012894697],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010819716,0.00040443472,0.5920342,0.0016285419,0.00043938006,0.0000075432004,0.0007111133,0.00091132574,0.000006600696,0.14195533,0.2556903,0.0061030174],"study_design_scores_gemma":[0.00359685,0.0004913623,0.0292285,0.00043348985,0.00008826274,0.000039129725,0.0005363252,0.016112536,0.000047774436,0.058247533,0.88916683,0.0020114253],"about_ca_topic_score_codex":0.0014444758,"about_ca_topic_score_gemma":0.0018432003,"teacher_disagreement_score":0.7068779,"about_ca_system_score_codex":0.00032187684,"about_ca_system_score_gemma":0.0001369198,"threshold_uncertainty_score":0.99995536},"labels":[],"label_agreement":null},{"id":"W7097945668","doi":"","title":"Table of Contents 309 HOUSEHOLD FINANCIAL MANAGEMENT: THE CONNECTION BETWEEN KNOWLEDGE AND BEHAVIOR","year":2013,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Table (database); Connection (principal bundle); German Federal Republic; Quarter (Canadian coin); Commission","score_opus":0.04488758910843601,"score_gpt":0.2078098494460848,"score_spread":0.16292226033764878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097945668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8017872,0.00020845822,0.0005101258,0.0000997933,0.0002321795,0.00034373585,0.00003538628,0.000025851197,0.19675724],"genre_scores_gemma":[0.9964989,0.00030122974,0.00016972152,0.00005949515,0.00008006318,0.00005552392,0.0000064840865,0.000015910184,0.0028126976],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991646,0.000007927405,0.00040633342,0.0002163162,0.000012539133,0.00019232412],"domain_scores_gemma":[0.9995144,0.000042100033,0.00016923316,0.00021017666,0.000019019046,0.00004508334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002635228,0.00010237948,0.00026065647,0.00010177109,0.000109740926,0.000066914625,0.00014216376,0.00007182716,0.00032513074],"category_scores_gemma":[0.000019638452,0.00009365723,0.000049027174,0.00011350597,0.00006822802,0.00022679362,0.00008580835,0.00007282947,0.00020537188],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008972075,0.00016182862,0.81027675,0.00009237749,0.00006297002,6.371652e-7,0.0002535712,0.0000074052614,0.00001879129,0.1411584,0.00995863,0.037999637],"study_design_scores_gemma":[0.0008855882,0.00005967922,0.9363482,0.000014815902,0.000037879207,0.0000015099416,0.00018449887,0.000463175,0.00015098855,0.010828688,0.0507665,0.000258463],"about_ca_topic_score_codex":0.0006597794,"about_ca_topic_score_gemma":0.000054854398,"teacher_disagreement_score":0.19471166,"about_ca_system_score_codex":0.000026977707,"about_ca_system_score_gemma":0.00000475544,"threshold_uncertainty_score":0.3819231},"labels":[],"label_agreement":null},{"id":"W7098068029","doi":"","title":"SUMMARY","year":2010,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Zoning; Appeal; Subject (documents); Position (finance); Service (business)","score_opus":0.019506453897194537,"score_gpt":0.19340321088802903,"score_spread":0.17389675699083448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7098068029","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22159474,0.000018944513,0.0004496287,0.0003645128,0.0008954367,0.000029256444,0.000005608089,0.00005233434,0.7765895],"genre_scores_gemma":[0.9875411,0.000049803377,0.0027325826,0.00039085714,0.00019036385,0.000003518663,0.000004430874,0.000014745079,0.009072592],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.999453,0.0000011460527,0.00021569624,0.00016972433,0.000005282373,0.00015511837],"domain_scores_gemma":[0.9996387,0.000017133945,0.000058181828,0.00022524685,0.000005069125,0.000055663066],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00026313594,0.000059297152,0.00012874528,0.00007299055,0.000047141522,0.000049325186,0.00012549416,0.00006502057,0.004437963],"category_scores_gemma":[0.000037882382,0.000069712194,0.000051080817,0.000051888066,0.000027750095,0.00013019529,0.000030264326,0.00012538157,0.0040289485],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032992273,0.000026927974,0.09311284,0.0000033245497,0.000007648425,0.0000010709213,0.000042620282,0.0000018928407,0.000108813365,0.88674366,0.013574675,0.006373218],"study_design_scores_gemma":[0.00018800388,0.00000959531,0.010985832,7.747201e-7,7.4257076e-7,0.0000033831845,0.000010157543,0.0014279514,0.00012378932,0.1043958,0.882663,0.00019096557],"about_ca_topic_score_codex":0.0000945423,"about_ca_topic_score_gemma":0.00013122991,"teacher_disagreement_score":0.86908835,"about_ca_system_score_codex":0.000009818309,"about_ca_system_score_gemma":0.0000059086606,"threshold_uncertainty_score":0.99674654},"labels":[],"label_agreement":null},{"id":"W7100075286","doi":"","title":"Contents","year":2008,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Price index; Point (geometry); Foreclosure; House price; Index (typography)","score_opus":0.06970026769293577,"score_gpt":0.19658536374084945,"score_spread":0.12688509604791368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100075286","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3427559,0.00005948357,0.001124116,0.0001579394,0.0002507006,0.000030406847,0.000004196611,0.000041783078,0.65557545],"genre_scores_gemma":[0.98748046,0.00024392374,0.0007017506,0.0004362889,0.00006208299,0.0000030700573,0.000002747308,0.000010970119,0.011058694],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994403,0.000001783781,0.00023922832,0.00015960148,0.0000065545964,0.00015254466],"domain_scores_gemma":[0.99971426,0.00001092473,0.0000644241,0.00015435685,0.0000065225704,0.000049523893],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00009355801,0.000058396356,0.00015750827,0.00006472643,0.00007967059,0.000013448478,0.00009351054,0.000037978418,0.0017629755],"category_scores_gemma":[0.000025967624,0.00006863193,0.00005539923,0.000050838364,0.00003494794,0.000118826356,0.000022017875,0.00004145343,0.00540904],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012020857,0.000070742135,0.61871433,0.0000047692897,0.00002700619,0.00001254394,0.00027750048,0.000014071245,0.000011717634,0.35557783,0.023573413,0.0017040272],"study_design_scores_gemma":[0.0013087929,0.000059734404,0.138151,0.000003952704,0.0000019046568,0.000060997267,0.00005790094,0.003749336,0.00021555233,0.0539852,0.8018071,0.0005985338],"about_ca_topic_score_codex":0.0001169789,"about_ca_topic_score_gemma":0.000007996942,"teacher_disagreement_score":0.77823365,"about_ca_system_score_codex":0.000029431389,"about_ca_system_score_gemma":0.0000037961415,"threshold_uncertainty_score":0.99914956},"labels":[],"label_agreement":null},{"id":"W7100117117","doi":"","title":"RECOMMENDATIONS","year":2010,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Property (philosophy); Local authority; Delegated authority; Property rights; Liability; Government (linguistics)","score_opus":0.03486071009487637,"score_gpt":0.2210305148694068,"score_spread":0.18616980477453043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100117117","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10740924,0.000006192914,0.0017969619,0.0027215532,0.0012030243,0.000033509434,0.000009901833,0.00005599512,0.88676363],"genre_scores_gemma":[0.9854105,0.000041974195,0.0084968675,0.000418891,0.00013581435,0.0000053086605,0.000009059171,0.000011338967,0.0054702573],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99952656,0.0000012577833,0.00021078739,0.0001389019,0.000003646101,0.00011887411],"domain_scores_gemma":[0.99968106,0.000018901015,0.00006027797,0.0001890398,0.000005800898,0.00004495324],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00024274884,0.00004647908,0.00009525451,0.000072925235,0.00006413463,0.000049394075,0.00009763719,0.000047000955,0.0109027615],"category_scores_gemma":[0.000045961766,0.000056335237,0.000039078917,0.000056347617,0.00001847409,0.00013061462,0.000021433865,0.00010948849,0.004471986],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010151668,0.000022693815,0.025694966,0.0000011469823,0.000005174368,1.7201262e-7,0.000049261045,0.0000010799625,0.000043210097,0.9498194,0.014376768,0.00998511],"study_design_scores_gemma":[0.000117529955,0.0000054169277,0.0039462503,4.35659e-7,5.130726e-7,0.0000019681481,0.000013545236,0.0011348224,0.000057179754,0.1012432,0.89336663,0.00011253071],"about_ca_topic_score_codex":0.00006722484,"about_ca_topic_score_gemma":0.00016729624,"teacher_disagreement_score":0.88129336,"about_ca_system_score_codex":0.0000097965,"about_ca_system_score_gemma":0.0000048405595,"threshold_uncertainty_score":0.99630314},"labels":[],"label_agreement":null},{"id":"W7100179514","doi":"","title":"Authors ’ Coordinates","year":2008,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Nominal interest rate; Inflation (cosmology); Real interest rate; Interest rate; Fisher hypothesis; Bond; Deductible","score_opus":0.04552856668456287,"score_gpt":0.19950022273267726,"score_spread":0.15397165604811439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100179514","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32354566,0.000095169824,0.001405759,0.00043672728,0.00037354033,0.00003854252,0.000005516743,0.00007681974,0.67402226],"genre_scores_gemma":[0.9801651,0.00024142311,0.0013358329,0.00023743116,0.00008003287,0.000004255812,0.000003826059,0.000016267722,0.01791581],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992824,0.0000031513612,0.00029303823,0.00021086846,0.000007991728,0.00020255131],"domain_scores_gemma":[0.9996364,0.000020399772,0.00008246304,0.00018371375,0.000008125616,0.00006886708],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002114416,0.00008061288,0.00019764196,0.00010529789,0.00012459636,0.000023345225,0.00012208069,0.00006243602,0.0022302964],"category_scores_gemma":[0.000043616288,0.00009457093,0.00006907116,0.00009624553,0.000051745745,0.0001506865,0.000031530988,0.00006679208,0.0041230083],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011058379,0.00006942455,0.40202788,0.0000080579985,0.000029728097,0.000013413442,0.00042329868,0.00005280797,0.000007691346,0.5452254,0.049823623,0.0023076627],"study_design_scores_gemma":[0.00065941387,0.000056705227,0.06074319,0.0000037958187,0.000002324591,0.000050290582,0.00006629679,0.006425764,0.00021615358,0.09315615,0.8380265,0.00059339835],"about_ca_topic_score_codex":0.00014104026,"about_ca_topic_score_gemma":0.000009462693,"teacher_disagreement_score":0.7882029,"about_ca_system_score_codex":0.0000385815,"about_ca_system_score_gemma":0.000008300178,"threshold_uncertainty_score":0.9986818},"labels":[],"label_agreement":null},{"id":"W7100236580","doi":"","title":"Commercial Real Estate Return Cycles: Do Capital Flows Matter? by","year":2006,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Capital (architecture); Corporate Real Estate; Real property; Real estate investment trust; Estate","score_opus":0.010811999146616772,"score_gpt":0.1916490268443018,"score_spread":0.18083702769768503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100236580","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5288323,0.00002948069,0.00021779034,0.00034508645,0.00031669502,0.00006769608,0.000108794324,0.000049238537,0.4700329],"genre_scores_gemma":[0.99371284,0.0006402374,0.0007634824,0.00031720058,0.00029631748,0.000010327977,0.00011389908,0.000051365976,0.00409431],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99847245,0.000010713579,0.0006559784,0.00041341188,0.000022517417,0.00042490443],"domain_scores_gemma":[0.99933445,0.000035420573,0.00020079305,0.00033193146,0.000012076361,0.000085298525],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00031541084,0.00019796008,0.00038211088,0.00012322745,0.00013104275,0.00021162655,0.0002295043,0.0001853355,0.0025930582],"category_scores_gemma":[0.0000069632697,0.00023732899,0.00012597417,0.00009249891,0.00005493526,0.0002756408,0.000064041546,0.00019098232,0.0037612314],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049533675,0.00021102859,0.70530885,0.00002836023,0.00004209692,0.00000885214,0.00067571434,0.00010055495,0.00006103207,0.020696111,0.25498196,0.017835904],"study_design_scores_gemma":[0.002957033,0.00014764472,0.25809953,0.000021430364,0.000022981123,0.000026280466,0.00044246798,0.011074374,0.0002575862,0.065525204,0.65910244,0.0023230182],"about_ca_topic_score_codex":0.010375535,"about_ca_topic_score_gemma":0.0018077827,"teacher_disagreement_score":0.46593857,"about_ca_system_score_codex":0.00013241834,"about_ca_system_score_gemma":0.000011530857,"threshold_uncertainty_score":0.99831873},"labels":[],"label_agreement":null},{"id":"W7100240020","doi":"","title":"Why Don’t Lenders Renegotiate More Home Mortgages? Redefaults, Self-Cures","year":2012,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Negotiation; Securitization; Information asymmetry; Duration (music); Market liquidity","score_opus":0.027489560235859672,"score_gpt":0.21828153144288137,"score_spread":0.1907919712070217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100240020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51053476,0.0016901348,0.001584344,0.002924474,0.0022146213,0.00025395481,0.00006220364,0.00045757985,0.4802779],"genre_scores_gemma":[0.99080175,0.0012489553,0.002865485,0.0024282783,0.0004784598,0.000017564937,0.000031074083,0.00007168161,0.0020567302],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99809515,0.000016894986,0.0006496068,0.0004369173,0.000036166355,0.00076524814],"domain_scores_gemma":[0.99884415,0.000052722313,0.00028762667,0.00054875505,0.00001734565,0.00024941118],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00073604437,0.00026417445,0.00046979263,0.00025283595,0.00017383999,0.00012943044,0.00030077342,0.00018957167,0.002072743],"category_scores_gemma":[0.00005058757,0.00030044175,0.00018445533,0.00018569823,0.00006199822,0.00072574936,0.000110718596,0.00019550923,0.0012492114],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005130733,0.00042902725,0.64310265,0.000098565644,0.00031817987,0.000006591749,0.003023847,0.00026455655,0.000015412948,0.13960138,0.21008947,0.0029989881],"study_design_scores_gemma":[0.0010734355,0.00005525412,0.061630126,0.0000145167205,0.000027666565,0.000018606788,0.0006922891,0.0029498192,0.0001316261,0.013287555,0.9189766,0.0011425024],"about_ca_topic_score_codex":0.00061493757,"about_ca_topic_score_gemma":0.00009394893,"teacher_disagreement_score":0.70888716,"about_ca_system_score_codex":0.00017927923,"about_ca_system_score_gemma":0.000016527878,"threshold_uncertainty_score":0.99994475},"labels":[],"label_agreement":null},{"id":"W7100394724","doi":"","title":"Center for Real Estate Quarterly &amp;amp; Urban Development Journal • 2 nd Quarter 2009 • Coliseum Choices: An Asset Too Valuable to Demolish • The Credit Crisis in Commercial Real Estate • Bursting Bubbles: Portland’s Distressed Housing Market • Housing Market","year":2012,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Quarter (Canadian coin); Center (category theory); Asset (computer security); Real estate development; Real estate investment trust; Urban planning","score_opus":0.04624586277778646,"score_gpt":0.26847051587215864,"score_spread":0.22222465309437217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100394724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90716356,0.00003467094,0.006788372,0.0007876462,0.001991328,0.00092201907,0.0005491635,0.00010839797,0.08165486],"genre_scores_gemma":[0.9632006,0.0013237342,0.029003726,0.0010528665,0.002569455,0.00018340202,0.0006673232,0.0002867755,0.0017121116],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99457914,0.0002205716,0.0022452206,0.0008404966,0.0001764542,0.0019381057],"domain_scores_gemma":[0.9969595,0.0004008222,0.001055466,0.00074112904,0.00015681057,0.0006862853],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0061342497,0.00065001386,0.0010620031,0.00059162965,0.00099866,0.0014939184,0.0007381916,0.0002754005,0.0006111807],"category_scores_gemma":[0.000166222,0.00063871924,0.00025539607,0.00041228122,0.000087073764,0.0018949222,0.00012120938,0.000519352,0.000093876646],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009772469,0.00067247025,0.6649937,0.00012939742,0.00018866466,0.000011107706,0.019107398,0.00032260048,0.000009741581,0.0000728132,0.2750525,0.038462367],"study_design_scores_gemma":[0.004149806,0.00027529852,0.33632994,0.00018974576,0.00008861341,0.00005955082,0.0069009652,0.00585201,0.000013694992,0.00050891796,0.643554,0.0020774952],"about_ca_topic_score_codex":0.0053451466,"about_ca_topic_score_gemma":0.025592132,"teacher_disagreement_score":0.36850148,"about_ca_system_score_codex":0.0008295219,"about_ca_system_score_gemma":0.00020963358,"threshold_uncertainty_score":0.99960643},"labels":[],"label_agreement":null},{"id":"W7100398814","doi":"","title":"Before the Council of the District of Columbia, Committee on Public Services and Consumer Affairs FORECLOSURES IN THE DISTRICT OF COLUMBIA","year":2008,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Foreclosure; Metropolitan area; Quarter (Canadian coin); Loan; Financial services; Juvenile delinquency; Debt","score_opus":0.04172612392802108,"score_gpt":0.18511862979280969,"score_spread":0.1433925058647886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100398814","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91555345,0.000381758,0.000005964107,0.00080784236,0.00013908747,0.00035754702,0.00032055413,0.0000069676744,0.082426846],"genre_scores_gemma":[0.99873984,0.00028592558,0.000022379714,0.00015801223,0.000021551581,0.000017520162,0.000009481902,0.00001573379,0.00072953117],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99849623,0.000062236904,0.0008331361,0.00024455233,0.000116005496,0.00024783285],"domain_scores_gemma":[0.9982243,0.0003077955,0.0006882819,0.0006534705,0.00009104179,0.000035116485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013098757,0.00013398088,0.0004993294,0.00005367864,0.0002115135,0.00008576391,0.00068764266,0.00010664251,0.00015557777],"category_scores_gemma":[0.00015429189,0.00010578054,0.00015378096,0.00041996728,0.00055655447,0.00013488026,0.00012438012,0.00017595704,0.0000052128526],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016584821,0.00015413333,0.98751754,0.00007839655,0.000052242292,5.467828e-7,0.0024584236,0.000012962363,9.3975507e-7,0.0046782317,0.0034915044,0.001538517],"study_design_scores_gemma":[0.00065385015,0.00011701891,0.97593814,0.000024361801,0.000013716194,0.0000063343036,0.00150798,0.00075495604,0.000010111503,0.0030146788,0.017832208,0.00012661504],"about_ca_topic_score_codex":0.024333641,"about_ca_topic_score_gemma":0.20063175,"teacher_disagreement_score":0.17629811,"about_ca_system_score_codex":0.00014476525,"about_ca_system_score_gemma":0.00014756691,"threshold_uncertainty_score":0.9821634},"labels":[],"label_agreement":null},{"id":"W7100438334","doi":"","title":"Valuing US and Canadian mortgage","year":2005,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"","score_opus":0.021238114639081273,"score_gpt":0.1837133363496693,"score_spread":0.16247522171058804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100438334","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.427625,0.00016903038,0.00012373847,0.00084594724,0.00009941327,0.000034460718,0.0000088077,0.000019677662,0.57107395],"genre_scores_gemma":[0.9940641,0.00021645323,0.0016793973,0.0010752346,0.0001363798,0.0000023433556,0.0000029206979,0.000014229656,0.0028089252],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993305,0.0000024148655,0.00021965097,0.00019520272,0.000005893184,0.0002463042],"domain_scores_gemma":[0.99963045,0.000012274296,0.000045413,0.00013691434,0.000004607601,0.00017036547],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00028604057,0.00007244222,0.00014628911,0.00015815816,0.00009654225,0.00008479444,0.000070867725,0.000053947555,0.0013666588],"category_scores_gemma":[0.000022846667,0.00009116362,0.000028318833,0.00005018328,0.000021214883,0.0001833538,0.000019276975,0.000061985746,0.0009507976],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042811444,0.000022897957,0.6058071,0.000012301132,0.000036104335,0.0000059307645,0.0005277021,0.0002690285,0.0000072206417,0.32253468,0.007248898,0.06352382],"study_design_scores_gemma":[0.00027168155,0.000012712165,0.07873708,0.0000029478554,0.0000022967338,0.000008089465,0.000036203746,0.02025835,0.000020633071,0.0075311325,0.892836,0.0002829195],"about_ca_topic_score_codex":0.056023333,"about_ca_topic_score_gemma":0.15278743,"teacher_disagreement_score":0.88558704,"about_ca_system_score_codex":0.00011502372,"about_ca_system_score_gemma":0.000019723113,"threshold_uncertainty_score":0.9998271},"labels":[],"label_agreement":null},{"id":"W7100639743","doi":"","title":"Effects of Taxable Value Increase Limits : Fables and Fallacies","year":2015,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Taxable income; Property (philosophy); Value (mathematics); Market value; Property market; Underpinning; Property tax; Distribution (mathematics)","score_opus":0.024794290847934195,"score_gpt":0.19305045249517358,"score_spread":0.1682561616472394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100639743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7588683,0.0012186259,0.0008991005,0.00010193685,0.00018001939,0.00010432216,0.000013633954,0.00002744938,0.2385866],"genre_scores_gemma":[0.9942154,0.0004230574,0.0028093879,0.00011723765,0.000042710733,0.000006200702,0.000003142078,0.000015346839,0.0023674848],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999298,0.000010524865,0.0003008356,0.00019921063,0.000015073771,0.00017635956],"domain_scores_gemma":[0.9994521,0.00010213682,0.00014960463,0.0001477828,0.000021019187,0.00012732774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043610093,0.00009926486,0.00031296053,0.00011953781,0.000033592045,0.000045711706,0.00009412194,0.000066861045,0.00004910358],"category_scores_gemma":[0.00026101706,0.00010818682,0.000034186833,0.00007665297,0.00005757449,0.00019477784,0.00005634015,0.000044607335,0.0001295028],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010353367,0.00022390552,0.29354036,0.00039105568,0.00011166271,0.000007698783,0.0011164766,0.00021055665,0.00018342795,0.68384373,0.013698541,0.006569062],"study_design_scores_gemma":[0.008657868,0.00094663975,0.103783354,0.00013685816,0.00007993312,0.000033382952,0.0009528747,0.034516834,0.0151673155,0.52103066,0.31252748,0.0021668214],"about_ca_topic_score_codex":0.0011396368,"about_ca_topic_score_gemma":0.000054361248,"teacher_disagreement_score":0.29882893,"about_ca_system_score_codex":0.000033914945,"about_ca_system_score_gemma":0.000021414144,"threshold_uncertainty_score":0.44117302},"labels":[],"label_agreement":null},{"id":"W7100644533","doi":"","title":"Edinburgh UK","year":2011,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Exchange rate; Property (philosophy); Investment (military); Foreign direct investment; Order (exchange); Property market; Financial market","score_opus":0.06267390367266429,"score_gpt":0.1920219878036973,"score_spread":0.12934808413103302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100644533","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.090918966,0.000055583285,0.0021636416,0.00006745021,0.0005397289,0.000040835657,0.000004300547,0.000052707666,0.9061568],"genre_scores_gemma":[0.9875331,0.00009817407,0.002835214,0.00030337664,0.000102630205,0.00000478601,0.0000018408143,0.000012364502,0.00910852],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99932104,0.0000014222505,0.0002798837,0.00019817997,0.000006143462,0.0001933431],"domain_scores_gemma":[0.9996261,0.0000088280085,0.000082711325,0.00021435757,0.000006548625,0.00006142821],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00024584954,0.00007435367,0.00016477049,0.000092062204,0.00004354131,0.00002362199,0.0001388058,0.000055372104,0.03087794],"category_scores_gemma":[0.000021831438,0.00008629172,0.00006386999,0.00006556678,0.000026752508,0.00011068208,0.000035900375,0.00005227707,0.0024483497],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014113403,0.000056413068,0.28458902,0.0000033044514,0.000026537815,0.000003269387,0.0006483748,0.0000019875304,0.000003227938,0.6851593,0.024624463,0.004869963],"study_design_scores_gemma":[0.0006482884,0.00008458602,0.03274054,0.00000510253,0.000004891442,0.00000829394,0.00016445335,0.002952368,0.00034581535,0.5984712,0.36390597,0.00066848367],"about_ca_topic_score_codex":0.0003796819,"about_ca_topic_score_gemma":0.000031922085,"teacher_disagreement_score":0.8970483,"about_ca_system_score_codex":0.000027834281,"about_ca_system_score_gemma":0.0000052347254,"threshold_uncertainty_score":0.9983284},"labels":[],"label_agreement":null},{"id":"W7100885713","doi":"","title":"1 TOTAL RETURNS ANALYSIS FOR THE AUCKLAND AND WELLINGTON APARTMENT MARKETS","year":2015,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Apartment; Renting; Quarter (Canadian coin); Capital gain; Occupancy; Rental housing","score_opus":0.049085484956259556,"score_gpt":0.2236734408600864,"score_spread":0.17458795590382684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100885713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7841777,0.0013572864,0.03049785,0.0028165972,0.00071587675,0.00044395064,0.00009809842,0.000051895855,0.17984073],"genre_scores_gemma":[0.9939899,0.00034061438,0.0010663018,0.00017370649,0.00012051877,0.000025666315,0.000016032178,0.0000127832045,0.0042544864],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.999208,0.0000064150054,0.00031044098,0.00025964834,0.000015620593,0.00019991581],"domain_scores_gemma":[0.99938804,0.00013643311,0.00012295425,0.00023671056,0.00001716257,0.000098704724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009767197,0.000100841375,0.0002705773,0.00012131258,0.00009942896,0.0001273422,0.00009723558,0.000056108143,0.00019637655],"category_scores_gemma":[0.00006575822,0.00008253845,0.00011882262,0.00014443057,0.000037334612,0.00009613982,0.000041286246,0.000048156333,0.000056301444],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037395282,0.00014086373,0.8495856,0.00003752723,0.0022119163,0.0000018504559,0.0019921702,0.0035198512,0.0000018786887,0.10469273,0.027837468,0.009604227],"study_design_scores_gemma":[0.0017957847,0.0001386769,0.10969223,0.0000035948633,0.0002764656,0.000005899754,0.000544074,0.4092164,0.000033889086,0.033108197,0.44461778,0.00056701864],"about_ca_topic_score_codex":0.00013298256,"about_ca_topic_score_gemma":0.00016310182,"teacher_disagreement_score":0.7398933,"about_ca_system_score_codex":0.000053165084,"about_ca_system_score_gemma":0.000010531806,"threshold_uncertainty_score":0.33658203},"labels":[],"label_agreement":null},{"id":"W7102328209","doi":"","title":"Capsule Network-Based Multimodal Fusion for Mortgage Risk Assessment from Unstructured Data Sources","year":2025,"lang":"","type":"article","venue":"ArXiv.org","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Alliance de recherche numérique du Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Interpretability; Benchmark (surveying); Weighting; Process (computing); Artificial neural network; Perceptron; Modality (human–computer interaction); Deep learning; Discriminative model","score_opus":0.04840980487291573,"score_gpt":0.26901609282002586,"score_spread":0.22060628794711012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7102328209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.928169,0.002122318,0.04997884,0.0009110149,0.006517108,0.0011173227,0.006112239,0.000095318595,0.004976816],"genre_scores_gemma":[0.97913986,0.0022499782,0.0132598495,0.00080067175,0.0013355942,0.00006560456,0.0024000632,0.00011197379,0.00063641515],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99458814,0.00012135364,0.0019406198,0.0021303762,0.00006980317,0.0011497345],"domain_scores_gemma":[0.9948014,0.00061459065,0.0014741755,0.002776612,0.000089830166,0.00024338253],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020008374,0.0006928451,0.0013960288,0.00033446995,0.0011459428,0.00048023846,0.0016982235,0.0006291938,0.0010317605],"category_scores_gemma":[0.000446183,0.0008829963,0.000415221,0.0004603583,0.0002237254,0.00063140516,0.0008947571,0.0007350746,0.0001722327],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018034932,0.00021886775,0.9631162,0.00010423576,0.000487786,0.0000037829736,0.00012959368,0.01700386,0.00003740731,0.0006276322,0.0044505266,0.013639746],"study_design_scores_gemma":[0.0029505524,0.00007488763,0.4918817,0.000097950615,0.0002078146,1.9545134e-7,0.00008584641,0.445497,0.00010046012,0.004691018,0.053730264,0.0006823172],"about_ca_topic_score_codex":0.0027328313,"about_ca_topic_score_gemma":0.0010855992,"teacher_disagreement_score":0.47123453,"about_ca_system_score_codex":0.00044329852,"about_ca_system_score_gemma":0.00040692327,"threshold_uncertainty_score":0.99988145},"labels":[],"label_agreement":null},{"id":"W7103342504","doi":"","title":"A macroeconomic determinants of housing price in Malaysia /&#13;\\nMuhammad Khairul Izhar Rabi’i","year":2018,"lang":"en","type":"book","venue":"UiTM Institutional Repositories (Universiti Teknologi MARA)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Money supply; Gross domestic product; Interest rate; Price index; Index (typography); Order (exchange); Product (mathematics); Ordinary least squares","score_opus":0.019506136182232736,"score_gpt":0.20541151645626485,"score_spread":0.1859053802740321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7103342504","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37353525,0.000525441,0.00027366242,0.00007884991,0.0031358048,0.00041489283,0.0004279828,0.00009822205,0.6215099],"genre_scores_gemma":[0.8335128,0.001373383,0.0018411834,0.00011387092,0.0014740784,0.000022534849,0.00030572794,0.0001414686,0.16121499],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.996505,0.000040525876,0.0014448594,0.0011696115,0.000110453846,0.0007295113],"domain_scores_gemma":[0.9969935,0.00018380246,0.0017178247,0.0007955053,0.00015393991,0.00015544206],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00068047765,0.0006167458,0.00149087,0.0013224604,0.00038517267,0.00013005943,0.0009500663,0.0010199326,0.00043911737],"category_scores_gemma":[0.00019591431,0.0008637043,0.0004092974,0.00031611297,0.001144131,0.00086240855,0.0005649347,0.0006095054,0.0005838312],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010353405,0.00055034936,0.31538588,0.0013884375,0.00091724336,0.0018840553,0.0015161998,0.003341677,0.000082386985,0.6437837,0.024660502,0.005454234],"study_design_scores_gemma":[0.005300864,0.00096453674,0.06365546,0.0019511494,0.00024540685,0.0007013623,0.0006355861,0.012526486,0.00040910902,0.14047305,0.7680726,0.005064392],"about_ca_topic_score_codex":0.00047627758,"about_ca_topic_score_gemma":0.00047492058,"teacher_disagreement_score":0.7434121,"about_ca_system_score_codex":0.0029574707,"about_ca_system_score_gemma":0.0009840315,"threshold_uncertainty_score":0.99938136},"labels":[],"label_agreement":null},{"id":"W7104522326","doi":"10.60918/16222","title":"Access to primary schools and house values : testing the spatial stationarity of hedonic prices","year":2007,"lang":"","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Residential property; Hedonic regression; Sample (material); Property value; Regression analysis; Spatial analysis; Urbanization; Service (business); Panel data","score_opus":0.06266045040987445,"score_gpt":0.26351891865283933,"score_spread":0.20085846824296488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7104522326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91543573,0.00079287495,0.02208063,0.0012160835,0.00065303803,0.000670233,0.00006612329,0.000050934977,0.059034348],"genre_scores_gemma":[0.9903725,0.0010061901,0.007207616,0.00080321106,0.0002933667,0.000008995908,0.0000044053,0.000057034227,0.0002466982],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997132,0.000027096034,0.001526169,0.0006503861,0.00007051811,0.0005938136],"domain_scores_gemma":[0.99712723,0.0011202344,0.0008902404,0.0005125111,0.00012823114,0.00022157384],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0036806609,0.0002908705,0.0006545787,0.00036764142,0.000377391,0.0006138368,0.000632868,0.00016645313,0.00021344723],"category_scores_gemma":[0.0009526761,0.00029204867,0.0001022151,0.0005290451,0.00016961253,0.0009667391,0.00056753226,0.00031487553,0.000079946956],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015458553,0.00017089117,0.8866616,0.00021863084,0.000106357445,0.0000022417778,0.0009668305,0.00073186593,0.000036063815,0.0049158907,0.0007017535,0.1053333],"study_design_scores_gemma":[0.00057760614,0.00019372148,0.97654164,0.000062121035,0.000028084081,0.000004474283,0.00027938513,0.006327097,0.00019620328,0.011461077,0.003855173,0.00047342622],"about_ca_topic_score_codex":0.0030521895,"about_ca_topic_score_gemma":0.0008087542,"teacher_disagreement_score":0.10485987,"about_ca_system_score_codex":0.00022227797,"about_ca_system_score_gemma":0.0001733111,"threshold_uncertainty_score":0.99995315},"labels":[],"label_agreement":null},{"id":"W7104572198","doi":"10.60918/16262","title":"Assessing the effect of socio-demographic evolution on housing market differentiation","year":2000,"lang":"","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sorting; State (computer science); Consumption (sociology); Property market; Housing industry","score_opus":0.01370930181281586,"score_gpt":0.22280633903918276,"score_spread":0.2090970372263669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7104572198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77917624,0.00053803955,0.001490422,0.00038389943,0.00097094825,0.00043952354,0.000023980596,0.000043187563,0.21693376],"genre_scores_gemma":[0.9961826,0.0017777508,0.000083570514,0.00008684361,0.00031704467,0.000015523116,0.0000147842475,0.000072266266,0.0014495951],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99677163,0.0003130484,0.0014541536,0.00072787533,0.00009169875,0.0006415871],"domain_scores_gemma":[0.99742186,0.00078342616,0.00092437,0.00073934114,0.00002943964,0.00010153276],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0030178486,0.00046362955,0.00093770726,0.00046577698,0.00071216875,0.0005725927,0.00040740272,0.00038744678,0.008403913],"category_scores_gemma":[0.0001283837,0.0004191119,0.0006064541,0.00057182007,0.0002788025,0.00078272435,0.000059119247,0.00044630925,0.00033269933],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039761537,0.00023657797,0.7893457,0.0003028913,0.00036876844,0.0000013948305,0.0003461897,0.0021369043,0.000026340269,0.006394917,0.0014271361,0.19901556],"study_design_scores_gemma":[0.002524738,0.0009441123,0.76844776,0.00030549878,0.00020646816,0.000004123492,0.00022350246,0.21429056,0.00027062296,0.008412317,0.0033554,0.0010148775],"about_ca_topic_score_codex":0.00023837572,"about_ca_topic_score_gemma":0.000028262364,"teacher_disagreement_score":0.21700637,"about_ca_system_score_codex":0.0004092026,"about_ca_system_score_gemma":0.000038891394,"threshold_uncertainty_score":0.9998261},"labels":[],"label_agreement":null},{"id":"W7105551180","doi":"10.60918/16165","title":"Property values and comparable sales : accounting for peer effects in hedonic price modelling","year":2010,"lang":"","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Residential property; Database transaction; Hedonic index; Neighbourhood (mathematics); Hedonic pricing; Hedonic regression; Conceptual framework; Transaction data; Proxy (statistics)","score_opus":0.03256857135061122,"score_gpt":0.22518626590245597,"score_spread":0.19261769455184474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7105551180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9132822,0.0010269206,0.025877088,0.0007695045,0.0018436479,0.0012365065,0.000023275501,0.000048001555,0.05589286],"genre_scores_gemma":[0.9720409,0.0010809805,0.020304883,0.00016003737,0.00032861563,0.00007825719,0.000015209206,0.000085155196,0.0059059854],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99687374,0.000020696483,0.0011713253,0.0009707529,0.00004590169,0.00091757294],"domain_scores_gemma":[0.9982779,0.00056974636,0.0004560841,0.00043890986,0.000096541284,0.00016083417],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0030862098,0.0004091987,0.0010100107,0.0004085391,0.00036278463,0.0006842702,0.00032537544,0.00037808312,0.00013559518],"category_scores_gemma":[0.00033764305,0.00041126393,0.00016166714,0.00022366573,0.00014507405,0.0008947477,0.0001676178,0.00056328945,0.0001424921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006665429,0.0013244367,0.72293997,0.0050522448,0.00039054305,0.000009861796,0.0073666023,0.07464858,0.0004212442,0.14907584,0.003289904,0.03481422],"study_design_scores_gemma":[0.0016003299,0.00008716457,0.0037178139,0.000088645545,0.000018870654,0.0000048395295,0.00012623494,0.9421828,0.00011980709,0.029211653,0.02214055,0.00070130103],"about_ca_topic_score_codex":0.00060857105,"about_ca_topic_score_gemma":0.00052769104,"teacher_disagreement_score":0.8675342,"about_ca_system_score_codex":0.00012421417,"about_ca_system_score_gemma":0.00008565523,"threshold_uncertainty_score":0.99983394},"labels":[],"label_agreement":null},{"id":"W7105797519","doi":"10.60918/16682","title":"Public transit improvement and property values : a canadian case study","year":2006,"lang":"","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Service (business); Public transport; Externality; Transit (satellite); Property value; Estimation; Unit (ring theory)","score_opus":0.043672984686275965,"score_gpt":0.19418459821988826,"score_spread":0.1505116135336123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7105797519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79264146,0.00054413604,0.00014966623,0.0022485051,0.000644848,0.0012063761,0.00011177466,0.000036115456,0.20241712],"genre_scores_gemma":[0.98912835,0.00033147738,0.00018208804,0.00033036296,0.00026869838,0.00005299534,0.000010953209,0.00006893218,0.009626151],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964175,0.000036671227,0.0013468497,0.0010842163,0.000037812013,0.0010769003],"domain_scores_gemma":[0.99842894,0.000035583274,0.00026536675,0.00058763754,0.00006221692,0.000620242],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013917666,0.00045216468,0.00076942146,0.00071692973,0.000769038,0.0011444361,0.00023056926,0.00022008322,0.0016390121],"category_scores_gemma":[0.000027612032,0.00044656065,0.00014256977,0.00030412796,0.00013783676,0.00063108857,0.00008533675,0.00025509903,0.00019310867],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047742713,0.0023907647,0.7836268,0.00019645113,0.0005430205,0.0030827,0.0055555236,0.000116304924,0.000006131473,0.01362999,0.0051156366,0.18568893],"study_design_scores_gemma":[0.021997979,0.008035071,0.10253608,0.00009159561,0.0006005027,0.0044822176,0.058759306,0.20310391,0.000062224506,0.037236113,0.5524388,0.010656225],"about_ca_topic_score_codex":0.8623796,"about_ca_topic_score_gemma":0.90299284,"teacher_disagreement_score":0.6810907,"about_ca_system_score_codex":0.0006438991,"about_ca_system_score_gemma":0.0003679926,"threshold_uncertainty_score":0.9998925},"labels":[],"label_agreement":null},{"id":"W7105799113","doi":"10.60918/16602","title":"Landscaping attributes and house prices : looking at interactions between property features and homeowners' profiles","year":2002,"lang":"","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Landscaping; House price; Incentive; Set (abstract data type); Originality; Field survey; Property (philosophy)","score_opus":0.03980360565646818,"score_gpt":0.21523277885569495,"score_spread":0.17542917319922677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7105799113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9284542,0.011466693,0.00020546206,0.0033532528,0.0006278776,0.00055547,0.00018355156,0.00016194323,0.05499153],"genre_scores_gemma":[0.9608715,0.022742342,0.00075971254,0.00014917833,0.0004699195,0.000023441713,0.000017636261,0.000091801034,0.014874473],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972963,0.00003466428,0.0009402125,0.0009926376,0.000043026022,0.00069316145],"domain_scores_gemma":[0.9983668,0.00036789934,0.00055962225,0.0003806366,0.00003844618,0.00028660463],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005820225,0.00046435682,0.00091327104,0.0004594108,0.0008402325,0.0008962014,0.00021624782,0.00026406115,0.001323424],"category_scores_gemma":[0.00016335385,0.0004129865,0.0001294985,0.00022769565,0.00022735313,0.0010311445,0.0004893938,0.0004080285,0.00025779713],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032110136,0.00009692283,0.94990075,0.00029548668,0.00029582373,0.0000052206597,0.0027132859,0.000016468732,0.000019380866,0.0011899465,0.009619986,0.035814624],"study_design_scores_gemma":[0.0037500202,0.0005015316,0.51349294,0.0005953601,0.0002956448,0.00021236579,0.0017513485,0.038766276,0.00060595805,0.0021872602,0.43432772,0.003513543],"about_ca_topic_score_codex":0.00029162294,"about_ca_topic_score_gemma":0.00034756228,"teacher_disagreement_score":0.43640777,"about_ca_system_score_codex":0.00021903709,"about_ca_system_score_gemma":0.000012242367,"threshold_uncertainty_score":0.9998322},"labels":[],"label_agreement":null},{"id":"W7105841669","doi":"10.33423/jabe.v27i6.7947","title":"UK Property Market Segmentation: Evidence From a Nonlinear Model","year":2025,"lang":"","type":"article","venue":"Journal of Applied Business and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Convergence (economics); Renting; Sample (material); Property market; Index (typography); Market segmentation; Property (philosophy)","score_opus":0.028735764661792968,"score_gpt":0.218367658633886,"score_spread":0.189631893972093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7105841669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.881724,0.005519222,0.018255452,0.0038928157,0.003439552,0.0006118232,0.00029226043,0.000016785478,0.08624809],"genre_scores_gemma":[0.8456275,0.119059056,0.030608911,0.0012393134,0.001104456,0.000020041472,0.000019437022,0.00009138038,0.0022299131],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9955993,0.000017954806,0.003010909,0.00078033895,0.000048658592,0.00054278894],"domain_scores_gemma":[0.99608517,0.00027122346,0.002603237,0.0005503196,0.0002460004,0.00024405915],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016347397,0.00055839407,0.0017158738,0.0006770422,0.0003284488,0.0008436082,0.0006457076,0.0004301679,0.0006374673],"category_scores_gemma":[0.00013435613,0.0005602608,0.00028235142,0.00039334362,0.00023908392,0.0010568905,0.00033822257,0.0005229899,0.000048867656],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.016418755,0.0019273676,0.10141304,0.0028165726,0.005146752,0.000059810587,0.006559829,0.3465623,0.0005478718,0.034503542,0.039777774,0.44426638],"study_design_scores_gemma":[0.004955888,0.00012496024,0.012010483,0.001038575,0.0004520974,0.000026499709,0.00091005117,0.87004477,0.00025314628,0.07224023,0.036477547,0.0014657337],"about_ca_topic_score_codex":0.00019034662,"about_ca_topic_score_gemma":0.00009737301,"teacher_disagreement_score":0.5234825,"about_ca_system_score_codex":0.0005479579,"about_ca_system_score_gemma":0.0006716056,"threshold_uncertainty_score":0.9996849},"labels":[],"label_agreement":null},{"id":"W7106031140","doi":"10.60918/16503","title":"Landscaping and house values : an empirical investigation","year":2001,"lang":"","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Landscaping; Vegetation (pathology); Census; Field survey; Cover (algebra); Tree (set theory); Vegetation cover; Differential (mechanical device)","score_opus":0.06390505387550814,"score_gpt":0.25520382657433005,"score_spread":0.1912987726988219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7106031140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93287516,0.0009627627,0.0014251344,0.0016820182,0.0006735185,0.00017598821,0.000012210591,0.00014453057,0.062048703],"genre_scores_gemma":[0.98516816,0.010129573,0.0014875619,0.0011308272,0.00048728473,0.0000063878642,0.000014146729,0.00008318693,0.0014928784],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976695,0.000049649127,0.0009237539,0.0008026147,0.000030855415,0.0005236115],"domain_scores_gemma":[0.9986864,0.00009591423,0.00032722778,0.0004495307,0.00002871954,0.00041221312],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001122751,0.00030125916,0.0005780251,0.00034666352,0.0003284715,0.00056261715,0.00019868974,0.0002973851,0.0008963529],"category_scores_gemma":[0.00011240437,0.00038519897,0.000094439776,0.00025752326,0.00018397789,0.0010937254,0.000115355826,0.00023066642,0.0004834955],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039428287,0.000081423335,0.9799097,0.000031266707,0.000040540577,0.0000062198847,0.0022591252,0.00009642433,0.0000057064617,0.004181194,0.0011534686,0.012195493],"study_design_scores_gemma":[0.0021187204,0.0005155342,0.5015416,0.00006635615,0.00004978131,0.00008211395,0.0010806668,0.31862503,0.00005932193,0.10278863,0.07140227,0.0016699469],"about_ca_topic_score_codex":0.00029141206,"about_ca_topic_score_gemma":0.00021867135,"teacher_disagreement_score":0.47836807,"about_ca_system_score_codex":0.00011835376,"about_ca_system_score_gemma":0.000047826292,"threshold_uncertainty_score":0.99986},"labels":[],"label_agreement":null},{"id":"W7106034229","doi":"10.60918/16244","title":"Isolating spatial from a-spatial components of housing attributes using kriging techniques","year":2001,"lang":"","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Kriging; Spatial analysis; Principal component analysis; Neighbourhood (mathematics); Variogram; Stock (firearms); Regression analysis; Spatial ecology; Range (aeronautics)","score_opus":0.060658020052078335,"score_gpt":0.2425497318916427,"score_spread":0.18189171183956437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7106034229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68908316,0.0004662955,0.28663945,0.00011894214,0.0014746246,0.00035481574,0.00026539734,0.0001152727,0.021482011],"genre_scores_gemma":[0.9636576,0.0015792997,0.03315202,0.00011973142,0.0011577067,0.000005196061,0.00011056272,0.00014438624,0.0000734748],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9945729,0.00008114149,0.003016192,0.0011558579,0.00010687513,0.0010670318],"domain_scores_gemma":[0.9962336,0.00033681482,0.002281481,0.000790878,0.000121463294,0.00023575523],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011560646,0.000670568,0.001779094,0.0007127645,0.00055391004,0.00040224934,0.00059530465,0.00053701026,0.0026177808],"category_scores_gemma":[0.00019023399,0.0009328062,0.00048415744,0.0004566784,0.00025033616,0.00082164415,0.00047564926,0.0004953631,0.00010485871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002906325,0.0004372105,0.88076234,0.00011587462,0.0003586499,0.000022161988,0.0007596609,0.0016700472,0.005664923,0.00086611026,0.00007099381,0.108981386],"study_design_scores_gemma":[0.0016771214,0.00019364415,0.02267706,0.0006298539,0.00012522792,0.000014327954,0.00031812742,0.95076126,0.008906047,0.005467259,0.007491521,0.0017385808],"about_ca_topic_score_codex":0.080786556,"about_ca_topic_score_gemma":0.0014609552,"teacher_disagreement_score":0.9490912,"about_ca_system_score_codex":0.00047840635,"about_ca_system_score_gemma":0.000098511155,"threshold_uncertainty_score":0.9993122},"labels":[],"label_agreement":null},{"id":"W7106147608","doi":"10.1080/00213624.2025.2575151","title":"Affordable Housing: A Proposal for Equity-Rental Trades","year":2025,"lang":"en","type":"article","venue":"Journal of Economic Issues","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"European Social Fund; Canadian Pulmonary Fibrosis Foundation","keywords":"Work (physics); Key (lock); Productivity; Government (linguistics)","score_opus":0.05651552603430771,"score_gpt":0.31692431460133696,"score_spread":0.26040878856702926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7106147608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7960605,0.0050976947,0.007235125,0.00918715,0.007562658,0.0006581145,0.00013271578,0.00005921617,0.17400682],"genre_scores_gemma":[0.9850351,0.0007127871,0.010348646,0.00019740956,0.0007785833,0.0000068297377,0.0000053340673,0.000035730063,0.0028795565],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99811953,0.000011486547,0.001250653,0.00024707208,0.00001774014,0.00035354422],"domain_scores_gemma":[0.9987168,0.00009375771,0.0008658988,0.00020641502,0.00003403671,0.000083125036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012783507,0.00018332114,0.0007387301,0.00044842588,0.00011809498,0.00024141232,0.00040755386,0.00012342904,0.00024401522],"category_scores_gemma":[0.00009369126,0.00020594001,0.00035366276,0.000067980414,0.00007466782,0.00053684885,0.00008430447,0.00015787806,0.00009672684],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005217953,0.00031531972,0.032098148,0.00024167824,0.0005728914,0.0000075621124,0.0009152941,0.0013265406,0.00014731652,0.8964045,0.050706986,0.01674199],"study_design_scores_gemma":[0.0024247018,0.0003699231,0.0007765752,0.00010983503,0.000049725397,0.00002406098,0.0004262695,0.005634585,0.0018935822,0.56308854,0.42476386,0.0004383866],"about_ca_topic_score_codex":0.00007435529,"about_ca_topic_score_gemma":0.0000807805,"teacher_disagreement_score":0.37405688,"about_ca_system_score_codex":0.00045125396,"about_ca_system_score_gemma":0.00023051174,"threshold_uncertainty_score":0.839799},"labels":[],"label_agreement":null},{"id":"W7106216466","doi":"10.60918/16166","title":"Public transit and urban accessibility : the effect of the métrobus service on Quebec city’s house prices","year":2005,"lang":"","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Transit (satellite); Service (business); Variables; Variable (mathematics); Public transport; Property tax; Price elasticity of demand; Control variable","score_opus":0.032928557246140876,"score_gpt":0.21116893540158996,"score_spread":0.17824037815544908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7106216466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9326179,0.0010031963,0.00014898808,0.018110929,0.00067118614,0.0009190781,0.00006033386,0.000053300835,0.046415057],"genre_scores_gemma":[0.99625814,0.00071974576,0.000060632134,0.0013382642,0.0002961808,0.000024571424,0.000002094835,0.00006368639,0.0012366648],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99686086,0.00018777538,0.0013229679,0.00089468923,0.0000812211,0.0006524825],"domain_scores_gemma":[0.99662274,0.00081851153,0.00088292116,0.0014448464,0.000058069636,0.00017288439],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0030296133,0.00048592105,0.00094096665,0.00018960398,0.00056235923,0.0006600691,0.0012238261,0.00031221166,0.0008506877],"category_scores_gemma":[0.00022750601,0.00032694743,0.00036192822,0.0006494368,0.00035864906,0.00086724,0.0002899205,0.00052410504,0.00011800536],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045985694,0.00037817642,0.9051297,0.00053365214,0.00035199153,5.554175e-7,0.0030783878,0.00091075804,0.0000123005575,0.0144767715,0.0013203276,0.073347546],"study_design_scores_gemma":[0.00403496,0.0006681769,0.8544857,0.000120210316,0.00018724124,0.0000075153916,0.000246924,0.04895565,0.0015181573,0.0013451169,0.0871905,0.0012398452],"about_ca_topic_score_codex":0.003869559,"about_ca_topic_score_gemma":0.036190894,"teacher_disagreement_score":0.08587018,"about_ca_system_score_codex":0.00030633959,"about_ca_system_score_gemma":0.000108008884,"threshold_uncertainty_score":0.9999183},"labels":[],"label_agreement":null},{"id":"W7106216797","doi":"10.1016/j.euroecorev.2025.105214","title":"Immigration and US shelter prices: The role of geographical and immigrant heterogeneity","year":2025,"lang":"en","type":"article","venue":"European Economic Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Immigration; Instrumental variable; House price; New immigrants","score_opus":0.012543755194972476,"score_gpt":0.2126065555243782,"score_spread":0.20006280032940574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7106216797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7063199,0.16881193,0.00011118641,0.0011398501,0.00019849071,0.0003890446,0.00003813499,0.000020466556,0.122970976],"genre_scores_gemma":[0.742434,0.25656736,0.00010432708,0.0007602849,0.000041007654,0.000008463845,0.000006554972,0.000016294069,0.00006166646],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.998676,0.00006405969,0.00071803527,0.0003667206,0.000009646827,0.00016552734],"domain_scores_gemma":[0.9991517,0.00006315575,0.00035183041,0.00037623622,0.000009199493,0.000047851558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014129742,0.00015282657,0.00048128262,0.000100023884,0.00009677688,0.00007334298,0.00020176053,0.000032910233,0.00006147353],"category_scores_gemma":[0.00003458314,0.00013452141,0.00012349925,0.0000730599,0.00013939531,0.0001444381,0.00013678873,0.00010310406,0.00010524866],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038976203,0.000076900316,0.55282897,0.0017888711,0.00033820485,0.0000019331953,0.00036146777,0.000026690217,0.000040017334,0.14139305,0.0017924465,0.30131248],"study_design_scores_gemma":[0.00037496898,0.0000430671,0.15996629,0.00046297393,0.000057504996,0.000011617001,0.000041055868,0.0022295567,0.000043849774,0.0049567847,0.8315133,0.00029904072],"about_ca_topic_score_codex":0.00013637227,"about_ca_topic_score_gemma":0.000086899614,"teacher_disagreement_score":0.82972085,"about_ca_system_score_codex":0.000027419295,"about_ca_system_score_gemma":0.000010798702,"threshold_uncertainty_score":0.5485624},"labels":[],"label_agreement":null},{"id":"W7106282511","doi":"10.60918/16087","title":"Neighborhood profiles and house values : dealing with spatial autocorrelation using kriging techniques","year":2001,"lang":"","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Kriging; Variogram; Spatial analysis; Interpolation (computer graphics); Sample (material); Autocorrelation; Range (aeronautics); Principal component analysis; Geostatistics; Spatial dependence","score_opus":0.026556783543410484,"score_gpt":0.22575846810981692,"score_spread":0.19920168456640644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7106282511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6669967,0.000626625,0.24240932,0.00044988014,0.00045207632,0.00093253545,0.000020132517,0.00040447907,0.08770823],"genre_scores_gemma":[0.97293097,0.0041612815,0.021794215,0.00016476336,0.00044727544,0.000021528129,0.0000073325405,0.0001658797,0.00030677],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972032,0.00003172834,0.001122904,0.0009132315,0.00005521007,0.0006737271],"domain_scores_gemma":[0.9984299,0.00010167085,0.00079142564,0.00041879294,0.000061790175,0.0001964137],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00086372584,0.00048561816,0.0007630468,0.0005547151,0.0005797889,0.00061664794,0.0001853279,0.00032385776,0.00059505],"category_scores_gemma":[0.000048439633,0.00055809156,0.000111143556,0.00027674594,0.00018390366,0.001034289,0.00013315376,0.00033048613,0.000051139934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021829952,0.00012412325,0.88729787,0.00010334334,0.00014799918,0.000020368589,0.00076973793,0.0016955079,0.000048033686,0.030817201,0.000041175834,0.07871634],"study_design_scores_gemma":[0.001369278,0.00039598008,0.012220627,0.00030876038,0.00012408363,0.00018544502,0.0004107185,0.95820564,0.0005329784,0.017604522,0.006933767,0.001708201],"about_ca_topic_score_codex":0.0017601941,"about_ca_topic_score_gemma":0.000121154924,"teacher_disagreement_score":0.9565101,"about_ca_system_score_codex":0.00021505928,"about_ca_system_score_gemma":0.000081013815,"threshold_uncertainty_score":0.9996871},"labels":[],"label_agreement":null},{"id":"W7111805482","doi":"","title":"A Study of Relation Between Housing Price Bubble and Macroeconomic Factors - Evidences from Suite in Taipei City and New Taipei City","year":2017,"lang":"zh","type":"dissertation","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economic rent; Bubble; Economic bubble; Interest rate; Price index; Price level; Investment (military); Unemployment","score_opus":0.09713694568396844,"score_gpt":0.2862797136283314,"score_spread":0.18914276794436294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7111805482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9811779,0.0013706869,0.00006939443,0.00006278539,0.00080465066,0.0011685921,0.00026903863,0.000030827774,0.015046126],"genre_scores_gemma":[0.99385214,0.003472462,0.00028148398,0.0000117614645,0.00023149818,0.000012947651,0.0003436989,0.00007753219,0.0017164665],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9953397,0.00008453632,0.0023521692,0.001553869,0.00008034547,0.0005894119],"domain_scores_gemma":[0.994881,0.0006969513,0.0032946449,0.00077749323,0.000055794804,0.0002941403],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013968498,0.00072132493,0.0022208279,0.0008999084,0.00048437767,0.00076083967,0.0005315156,0.000779962,0.00040953708],"category_scores_gemma":[0.0004561882,0.0009092072,0.00016373897,0.00019460663,0.00015301243,0.0016071714,0.0002049848,0.0006377247,0.000021456664],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012197966,0.00015041813,0.9814161,0.00012896994,0.00024433492,0.000002654109,0.011803961,0.000043757296,0.000009053305,0.00023035416,0.000028842831,0.0058195433],"study_design_scores_gemma":[0.0017905596,0.0002472903,0.9811151,0.00025287116,0.00013914278,5.112371e-7,0.0068810484,0.00091451156,0.000046802128,0.007552572,0.000189584,0.0008700289],"about_ca_topic_score_codex":0.07330513,"about_ca_topic_score_gemma":0.046479285,"teacher_disagreement_score":0.026825847,"about_ca_system_score_codex":0.0003702446,"about_ca_system_score_gemma":0.00021444884,"threshold_uncertainty_score":0.9993359},"labels":[],"label_agreement":null},{"id":"W7111996773","doi":"","title":"Causal Relationship Between Stock and Real Estate Market Returns in G7 Countries: A Comparison Before and After the Pandemic","year":2025,"lang":"zh","type":"dissertation","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Stock market; Quantile; Granger causality; Stock (firearms); Statistic; Structural break; Lag","score_opus":0.034539524812850414,"score_gpt":0.2705613420028689,"score_spread":0.2360218171900185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7111996773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8840755,0.00057435554,0.00004511142,0.0004482406,0.00051379425,0.00075740204,0.0005355276,0.000034531044,0.11301554],"genre_scores_gemma":[0.9715099,0.014869033,0.00011226488,0.00008372939,0.00015017882,0.00010108302,0.000560465,0.000058277263,0.012555115],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964705,0.00011551117,0.0018077692,0.00095416483,0.0000620321,0.0005899871],"domain_scores_gemma":[0.9971195,0.0013727203,0.0008137244,0.0004976791,0.00005089167,0.00014550019],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019139304,0.00055700523,0.0012789345,0.00063997076,0.00036131762,0.00048725263,0.00026621344,0.00083041325,0.0002482671],"category_scores_gemma":[0.00027805494,0.0005641766,0.0001183838,0.00034111756,0.00018670042,0.00035804344,0.00013316238,0.0009793468,0.00003191316],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004037309,0.000025463143,0.9817765,0.00042444575,0.000095049014,0.0000031274378,0.00807943,0.000008208825,2.4954014e-8,0.0030296564,0.00045312088,0.0057012667],"study_design_scores_gemma":[0.0008782546,0.00009133321,0.9766952,0.00023550927,0.00010428839,0.0000029043792,0.0023597789,0.0057491944,1.5456637e-7,0.0077762585,0.005565447,0.0005417225],"about_ca_topic_score_codex":0.0044375397,"about_ca_topic_score_gemma":0.1152824,"teacher_disagreement_score":0.110844865,"about_ca_system_score_codex":0.00035406157,"about_ca_system_score_gemma":0.00018516796,"threshold_uncertainty_score":0.999681},"labels":[],"label_agreement":null},{"id":"W7112288909","doi":"","title":"Clasificación de ofertas de vivienda en Madrid mediante modelos de aprendizaje automático y su visualización interactiva","year":2025,"lang":"es","type":"article","venue":"UPM Digital Archive (Technical University of Madrid)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Context (archaeology); House price","score_opus":0.010396851044923227,"score_gpt":0.2222489028759674,"score_spread":0.2118520518310442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7112288909","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5799794,0.00014700906,0.208446,0.0017223336,0.00038235742,0.00046547828,0.0015762177,0.00022637959,0.20705478],"genre_scores_gemma":[0.99188775,0.0013991598,0.004434982,0.00019270828,0.00008508488,0.0000020709654,0.00011683362,0.00005831677,0.0018230836],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970142,0.00012711233,0.0008302193,0.00090621784,0.00009124048,0.0010309612],"domain_scores_gemma":[0.9973243,0.0009631014,0.0005283836,0.00069579744,0.00005245215,0.00043595597],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006785655,0.0004795448,0.0010687764,0.00088162255,0.00026104043,0.0003023121,0.0013171072,0.00045351,0.0002640995],"category_scores_gemma":[0.00054147345,0.00068780506,0.00065220863,0.0004185572,0.00066912564,0.00077946606,0.0009940139,0.00081999175,0.00018891432],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034224382,0.0036410873,0.33997887,0.0014006826,0.0017266908,0.0004804429,0.0052231345,0.0067394753,0.0015980643,0.55701566,0.018354813,0.06041863],"study_design_scores_gemma":[0.0055823973,0.0010833341,0.13734849,0.0018627666,0.00047637997,0.00013511199,0.0026758646,0.2896988,0.0014146129,0.19213368,0.36452842,0.0030601383],"about_ca_topic_score_codex":0.00040840404,"about_ca_topic_score_gemma":0.00015614032,"teacher_disagreement_score":0.4119083,"about_ca_system_score_codex":0.001075879,"about_ca_system_score_gemma":0.0004745182,"threshold_uncertainty_score":0.9995573},"labels":[],"label_agreement":null},{"id":"W7113275995","doi":"","title":"Essays on Climate Risks, Policy Shocks, and Housing Markets","year":2025,"lang":"en","type":"dissertation","venue":"CUNY Academic Works (City University of New York)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Climate change; Global warming; Endogeneity; Renting; Economic rent; Boom; House price","score_opus":0.05224871900279633,"score_gpt":0.25127895037253845,"score_spread":0.19903023136974213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7113275995","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6073551,0.0025415702,0.00025150197,0.00057341036,0.0008398186,0.00029782442,0.00019823195,0.00008858292,0.38785392],"genre_scores_gemma":[0.9168849,0.054705717,0.0005716447,0.00024372803,0.00048260277,9.21656e-7,0.000436951,0.00007538324,0.026598133],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99789786,0.000036449273,0.0006165542,0.0007971786,0.0000614191,0.0005905071],"domain_scores_gemma":[0.99816144,0.0001698171,0.0009938497,0.00042008137,0.000033132448,0.00022171185],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0006444587,0.00041341907,0.0009781867,0.0009789978,0.00040990778,0.00007196226,0.0006325396,0.0013894317,0.0004313866],"category_scores_gemma":[0.00015053563,0.000635294,0.00025184246,0.00045484366,0.00010102422,0.00027674346,0.00018969769,0.0013678235,0.00006871449],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0055818325,0.00036855577,0.1809365,0.0025304134,0.0011885669,0.000052040206,0.010396613,0.0011494223,0.000028446375,0.1922185,0.10645107,0.49909803],"study_design_scores_gemma":[0.010094295,0.00032026775,0.30948475,0.010164167,0.0007260457,0.000012483088,0.011163652,0.007838608,0.00015895297,0.12248737,0.5218129,0.00573651],"about_ca_topic_score_codex":0.0023934175,"about_ca_topic_score_gemma":0.000572366,"teacher_disagreement_score":0.49336153,"about_ca_system_score_codex":0.0004134881,"about_ca_system_score_gemma":0.00024589637,"threshold_uncertainty_score":0.99990696},"labels":[],"label_agreement":null},{"id":"W7113280893","doi":"","title":"An SEM approach to modelling housing values","year":2017,"lang":"en","type":"article","venue":"Research Explorer (The University of Manchester)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Structural equation modeling; Regression analysis; Hedonic regression; Property (philosophy); Regression; Phase (matter)","score_opus":0.22893654669238678,"score_gpt":0.2920812397276053,"score_spread":0.06314469303521852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7113280893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92688435,0.000048901224,0.04123568,0.000651858,0.000099496036,0.00023909852,0.000010960797,0.000028122484,0.03080152],"genre_scores_gemma":[0.9933508,0.00027524235,0.0061046556,0.000024523062,0.00011178803,0.0000010133049,0.0000041744097,0.000024235324,0.00010355822],"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987792,0.0000625614,0.00020258938,0.0004364695,0.000085818465,0.00043336267],"domain_scores_gemma":[0.99829805,0.000068101435,0.00017745089,0.0012125387,0.00007825644,0.00016559193],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002267296,0.00011327918,0.0002886032,0.00026255858,0.0013071115,0.0002320614,0.001431333,0.00008483264,0.000050486993],"category_scores_gemma":[0.00006183186,0.00012850111,0.00009891862,0.000100385274,0.0003437712,0.00073229923,0.0004065551,0.00025931388,0.00036568238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011534254,0.0017944069,0.17695713,0.0006485157,0.00053499587,0.000056709618,0.4568977,0.18249713,0.0003725571,0.12921156,0.007867938,0.042007923],"study_design_scores_gemma":[0.0018717626,0.00040819135,0.04475471,0.00016891892,0.000027683887,0.0000052437063,0.05441589,0.7558975,0.00037349557,0.0660201,0.074910484,0.0011459853],"about_ca_topic_score_codex":0.00016708564,"about_ca_topic_score_gemma":0.0000055941905,"teacher_disagreement_score":0.5734004,"about_ca_system_score_codex":0.00015246254,"about_ca_system_score_gemma":0.000030361982,"threshold_uncertainty_score":0.999993},"labels":[],"label_agreement":null},{"id":"W7113530644","doi":"","title":"An Enhanced House Price Index Model in Malaysia: A Laspeyres Approach","year":2019,"lang":"en","type":"article","venue":"Universiti Utara Malaysia Institutional Repository (Universiti Utara Malaysia)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Price index; House price; Quarter (Canadian coin); Distributed lag; Consumer price index (South Africa); Producer price index; Autoregressive model","score_opus":0.013259508705936545,"score_gpt":0.1833273836331119,"score_spread":0.17006787492717537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7113530644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8046725,0.000086971275,0.014430878,0.00012324398,0.0005455839,0.00059259037,0.00010248432,0.00027107142,0.17917468],"genre_scores_gemma":[0.9939713,0.00010934548,0.003071711,0.00020805905,0.0002054334,0.000013436591,0.00013698165,0.00010494111,0.002178781],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9960395,0.000096783064,0.00087281596,0.001675819,0.00024295742,0.0010721387],"domain_scores_gemma":[0.9975387,0.000080183134,0.0006466287,0.0011295396,0.00014390434,0.0004610665],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005261215,0.00068375206,0.0010430397,0.0016018093,0.0003768303,0.00025716316,0.0012484199,0.0005856241,0.00046356526],"category_scores_gemma":[0.000022256736,0.0009852393,0.00041488366,0.0009938831,0.00043288988,0.003883174,0.00034497795,0.0007839632,0.00089523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044794238,0.00048996444,0.028521499,0.00009078405,0.00013459369,0.00031160793,0.0010119199,0.89783907,0.0010159195,0.06995721,0.0000763729,0.00010310524],"study_design_scores_gemma":[0.0026347945,0.00017710518,0.0009838449,0.00007565313,0.000041663454,0.00013819721,0.0018130183,0.98944443,0.00015976893,0.0021164143,0.0012928043,0.0011222947],"about_ca_topic_score_codex":0.0004278266,"about_ca_topic_score_gemma":0.000001252284,"teacher_disagreement_score":0.18929881,"about_ca_system_score_codex":0.001935796,"about_ca_system_score_gemma":0.00042763515,"threshold_uncertainty_score":0.9998827},"labels":[],"label_agreement":null},{"id":"W7114897529","doi":"10.34989/swp-2025-36","title":"United in Booms, Divided in Busts: Regional House Price Cycles and Monetary Policy","year":2025,"lang":"en","type":"article","venue":"Bank of Canada Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"House price; Volatility (finance); Monetary policy; Currency; Currency union; Price setting; Price level","score_opus":0.055866130249177595,"score_gpt":0.28357408864164857,"score_spread":0.227707958392471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7114897529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9426505,0.001080113,0.000008125262,0.0072263866,0.00004559911,0.00017030601,0.000028792303,0.000007283344,0.0487829],"genre_scores_gemma":[0.997352,0.0014891131,0.00008032586,0.00026671187,0.000027960587,0.000012631899,0.0000072725074,0.000014743311,0.0007492234],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99869335,0.000057268026,0.00047296376,0.00027402336,0.00006831304,0.00043408156],"domain_scores_gemma":[0.9992612,0.00031460568,0.00007198249,0.00024033636,0.00003491435,0.00007698128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014512535,0.000087231325,0.0002872305,0.0017827678,0.00006395753,0.00003388101,0.00023544303,0.00008232303,0.000032150216],"category_scores_gemma":[0.00049048394,0.00011266107,0.000019681738,0.0012247853,0.00011561043,0.000101548816,0.00012987982,0.0002858656,0.0000025662844],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019023851,0.00011762681,0.7498043,0.00021750203,0.000041053485,0.000038202215,0.00040558752,0.0011235493,0.000022406351,0.2157573,0.027991472,0.0042907386],"study_design_scores_gemma":[0.0010774743,0.000025236486,0.8780169,0.00009831259,8.90761e-7,0.0000014653331,0.00027687603,0.007096194,0.000039977673,0.042804122,0.07036927,0.00019330991],"about_ca_topic_score_codex":0.8231699,"about_ca_topic_score_gemma":0.7718696,"teacher_disagreement_score":0.17295317,"about_ca_system_score_codex":0.0006612844,"about_ca_system_score_gemma":0.0008071881,"threshold_uncertainty_score":0.45941854},"labels":[],"label_agreement":null},{"id":"W7114920865","doi":"10.2139/ssrn.5841102","title":"House Prices, Quantities, and the Propagation of Shocks when Developers Are Imperfectly Competitive","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Competition (biology); Imperfect competition; Imperfect; Order (exchange); Raising (metalworking); House price","score_opus":0.013539696565438275,"score_gpt":0.20569810017582277,"score_spread":0.1921584036103845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7114920865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7842457,0.08098625,0.044617705,0.008118786,0.0049706926,0.0033337867,0.00047919055,0.000110213914,0.07313768],"genre_scores_gemma":[0.7532533,0.24378383,0.0003588223,0.00017020015,0.00030655667,0.00003384703,0.000015900774,0.00007327957,0.0020042663],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9939671,0.00024288658,0.0023612545,0.0008905197,0.00012015218,0.0024180915],"domain_scores_gemma":[0.99470395,0.00042893228,0.0038473664,0.0006089185,0.00028045103,0.00013039862],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.009105821,0.00067094184,0.0018611795,0.0006785984,0.00073124404,0.0004882274,0.0010353832,0.0005530429,0.00009809012],"category_scores_gemma":[0.0004609853,0.0006358107,0.0005246594,0.00028186888,0.00071971933,0.00050618855,0.0006266169,0.004889045,0.00002946893],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008873377,0.00012301694,0.030944588,0.00038449996,0.0016781426,0.0000019652534,0.0036807177,0.00053506746,0.000001569851,0.94989663,0.00007692849,0.011789526],"study_design_scores_gemma":[0.00843284,0.0005030953,0.007906186,0.0012645564,0.0004968359,0.0002814132,0.01879841,0.010934559,0.00005302406,0.93144923,0.018101547,0.0017782712],"about_ca_topic_score_codex":0.0011398862,"about_ca_topic_score_gemma":0.004764884,"teacher_disagreement_score":0.16279759,"about_ca_system_score_codex":0.0029060452,"about_ca_system_score_gemma":0.0055303257,"threshold_uncertainty_score":0.9996093},"labels":[],"label_agreement":null},{"id":"W7116106610","doi":"10.13140/rg.2.2.24510.75840","title":"Bottom-Up Model of the Residential Building Stock of the Province of Quebec","year":2025,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Residential real estate","score_opus":0.01966038276894011,"score_gpt":0.21563396913365812,"score_spread":0.195973586364718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116106610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9207647,0.00009377849,0.0069056693,0.00055639143,0.00055476796,0.00022230309,0.000038031892,0.000007449412,0.070856944],"genre_scores_gemma":[0.98440444,0.00003259916,0.00070509023,0.00006457357,0.00001482172,0.0000031246877,2.914958e-7,0.000008609675,0.014766432],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897975,0.00001449697,0.00067174796,0.00017483465,0.000026665713,0.00013250254],"domain_scores_gemma":[0.9988799,0.00005188004,0.00050223037,0.00052094436,0.000031928666,0.000013102245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043006722,0.000083420164,0.0003056517,0.00009468087,0.00006107585,0.00001507495,0.0005101528,0.00007403334,0.00004987595],"category_scores_gemma":[0.00011600244,0.00006350942,0.00018755591,0.00018494499,0.0001330588,0.00009962152,0.00023486558,0.00010216574,0.0000021484275],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060394552,0.00008707931,0.07575447,0.00022952583,0.00009362865,5.686203e-8,0.0003415822,0.011223411,0.0018297922,0.90383446,0.004285185,0.0022604223],"study_design_scores_gemma":[0.001978636,0.00005295617,0.071857445,0.00034846962,0.000081283404,8.026903e-7,0.0002729233,0.5020414,0.11071788,0.30844566,0.0036457335,0.00055681233],"about_ca_topic_score_codex":0.005133777,"about_ca_topic_score_gemma":0.004695885,"teacher_disagreement_score":0.59538877,"about_ca_system_score_codex":0.00006724552,"about_ca_system_score_gemma":0.00018508863,"threshold_uncertainty_score":0.7760769},"labels":[],"label_agreement":null},{"id":"W7117298993","doi":"10.1007/s10901-025-10268-0","title":"Data-driven residential building stock demand forecasting: the first step in digital construction strategy-informed urban planning","year":2025,"lang":"en","type":"article","venue":"Journal of Housing and the Built Environment","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Mitacs","keywords":"Stock (firearms); Urbanization; Urban planning; Demographics; Demand forecasting; Population; Benchmarking; Sustainable development","score_opus":0.04074896616301248,"score_gpt":0.23559514951579105,"score_spread":0.19484618335277856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117298993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98234135,0.0014741864,0.010374563,0.00082090346,0.0003964659,0.00015942854,0.000022478545,0.0000056693757,0.0044049686],"genre_scores_gemma":[0.9983305,0.00064728904,0.00074842863,0.00005943271,0.00015262669,0.000001832248,0.0000030982324,0.000011605429,0.000045186443],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99874175,0.000016916956,0.00080072926,0.00018498706,0.000050326915,0.00020528177],"domain_scores_gemma":[0.9987764,0.00023079201,0.00066382444,0.0002870363,0.0000064763076,0.000035505498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011177318,0.00013125133,0.0003388536,0.00017340094,0.0002913415,0.00035105954,0.00035767982,0.00006163666,0.000010157396],"category_scores_gemma":[0.000117807016,0.000095731295,0.00007153405,0.00007854159,0.00022710206,0.00048649387,0.00022256403,0.00027170187,0.000002582182],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001363575,0.00015751961,0.7395098,0.00013091785,0.000597972,0.00005460208,0.0025991125,0.18251121,0.000009010319,0.023396365,0.0030236412,0.046646234],"study_design_scores_gemma":[0.014796787,0.00034122172,0.107026994,0.0010207989,0.00025607776,0.00047349278,0.003721807,0.64135015,0.000043914377,0.072154954,0.15782946,0.0009843205],"about_ca_topic_score_codex":0.000050212944,"about_ca_topic_score_gemma":0.00003972032,"teacher_disagreement_score":0.6324828,"about_ca_system_score_codex":0.00015423592,"about_ca_system_score_gemma":0.00003678758,"threshold_uncertainty_score":0.3903809},"labels":[],"label_agreement":null},{"id":"W7117464616","doi":"10.2139/ssrn.5841723","title":"Why Groceries and Housing Remain Expensive in 2025","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Supply chain; Inflation (cosmology); Economic shortage; Position (finance); Wage; Quarter (Canadian coin)","score_opus":0.01634007698966809,"score_gpt":0.22365215783071982,"score_spread":0.20731208084105174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117464616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8380195,0.06987836,0.013665298,0.0077700485,0.0054133874,0.0010051426,0.00011336989,0.000056681518,0.064078204],"genre_scores_gemma":[0.5981114,0.39644286,0.00050173455,0.0009488423,0.00067475013,0.00002197497,0.000018650751,0.00008896153,0.0031908231],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9908587,0.00016633885,0.002581454,0.0014524764,0.00008534474,0.0048557315],"domain_scores_gemma":[0.99693114,0.00025161344,0.0017993408,0.0006662,0.00012213636,0.00022959812],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00633566,0.000879371,0.0020251789,0.001779616,0.000621079,0.00085288653,0.0008161004,0.0009230532,0.00014156185],"category_scores_gemma":[0.00047605313,0.0012137089,0.0004616282,0.00049666746,0.0002716376,0.0006527582,0.00089777046,0.007959829,0.00005283531],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001115328,0.0004778767,0.1165381,0.00085254473,0.0019236795,0.000086893284,0.0067216763,0.005316344,0.000008071891,0.7558453,0.0018032764,0.10931092],"study_design_scores_gemma":[0.002214164,0.00025469865,0.0015232157,0.00079001684,0.00008434365,0.00022918296,0.006883412,0.004656404,0.000014913274,0.94182193,0.040021695,0.0015060134],"about_ca_topic_score_codex":0.0014557634,"about_ca_topic_score_gemma":0.020339461,"teacher_disagreement_score":0.3265645,"about_ca_system_score_codex":0.0059059695,"about_ca_system_score_gemma":0.0041083833,"threshold_uncertainty_score":0.9990313},"labels":[],"label_agreement":null},{"id":"W7117762574","doi":"10.13140/rg.2.2.33197.55526","title":"Estimation du prix immobilier par une analyse de régression avec transformation logarithmique : Etude de cas du marché immobilier de Windsor et Essex au Canada","year":2025,"lang":"fr","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Estimation; Statistical analysis; Noise (video); Term (time)","score_opus":0.006971886100001551,"score_gpt":0.22092586913418896,"score_spread":0.21395398303418742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117762574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7581394,0.00041517054,0.17464352,0.02657859,0.001091091,0.00049768627,0.00014006627,0.00005054532,0.03844395],"genre_scores_gemma":[0.98569447,0.0030657167,0.0066840444,0.0016972823,0.00019177931,0.00008024023,0.00016299276,0.000057028752,0.002366469],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99667937,0.00019430465,0.0013753944,0.00063456484,0.00006722552,0.001049142],"domain_scores_gemma":[0.9982689,0.00038976106,0.0004712923,0.0005053182,0.00008415931,0.0002805735],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0028976162,0.0004394643,0.0007563847,0.0004654926,0.00042015855,0.00025169834,0.00038044684,0.00053350726,0.0006810305],"category_scores_gemma":[0.00039007128,0.00055925205,0.0002428279,0.0006111605,0.00015509964,0.00075629016,0.00009426044,0.0005256698,0.000053195858],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002882804,0.00056197296,0.6705357,0.0010396815,0.00047882987,0.00006734237,0.010779848,0.15548396,0.000096227086,0.04528315,0.010321725,0.1050633],"study_design_scores_gemma":[0.0011774374,0.00007126662,0.29292208,0.00024123793,0.00010264607,0.00004839832,0.00060848583,0.6631811,0.0009480671,0.007785488,0.03231506,0.0005986832],"about_ca_topic_score_codex":0.59515274,"about_ca_topic_score_gemma":0.8230852,"teacher_disagreement_score":0.50769717,"about_ca_system_score_codex":0.006010449,"about_ca_system_score_gemma":0.0037101235,"threshold_uncertainty_score":0.9996859},"labels":[],"label_agreement":null},{"id":"W7125366058","doi":"10.38100/jhuf.2025.10.2.29","title":"The impact of regional housing price changes on voluntary termination of reverse mortgages: Focusing on age-group differences controlling for mortality risk","year":2025,"lang":"en","type":"article","venue":"Journal of Housing and Urban Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Attrition; Turnover; Panel data; Hazard; Life table; Quarter (Canadian coin)","score_opus":0.03857957749885602,"score_gpt":0.2641280496649956,"score_spread":0.22554847216613957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7125366058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944897,0.0018006,0.0021752468,0.00022375133,0.0003876935,0.00017486661,0.000054754157,0.0000058047303,0.0006875263],"genre_scores_gemma":[0.99474823,0.0042714835,0.00067953183,0.000051230316,0.0001738372,0.0000029416774,0.0000019090687,0.000015788039,0.000055061217],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985979,0.000045019235,0.0008593809,0.00021315723,0.000059941834,0.00022456638],"domain_scores_gemma":[0.99691796,0.0006000876,0.0021518334,0.00020534356,0.000092260154,0.00003251108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015640546,0.00017398877,0.0006524767,0.00029548234,0.000303045,0.00007374556,0.00017838847,0.00009323267,0.0000014466472],"category_scores_gemma":[0.0003186755,0.00014020296,0.00025434227,0.00016346625,0.00015212549,0.00014036278,0.000024416111,0.00022556532,2.0540945e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002656557,0.0005751851,0.8812463,0.00035844825,0.00080370903,0.00001545278,0.0016529128,0.008133082,0.00048314902,0.012691965,0.002334823,0.08904837],"study_design_scores_gemma":[0.0034872594,0.0020394353,0.92987144,0.0017603809,0.00016655552,0.0000084812245,0.00032677272,0.02996982,0.00042579754,0.027107552,0.0043575913,0.00047893365],"about_ca_topic_score_codex":0.00032751958,"about_ca_topic_score_gemma":0.00008878281,"teacher_disagreement_score":0.08856944,"about_ca_system_score_codex":0.00015690987,"about_ca_system_score_gemma":0.00005449323,"threshold_uncertainty_score":0.5717311},"labels":[],"label_agreement":null},{"id":"W7126717620","doi":"","title":"Heading into Economic Headwinds","year":2022,"lang":"en","type":"article","venue":"eCommons (Cornell University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Heading (navigation); Currency; Debt; Inflation (cosmology); Database transaction; Taxis; Revenue; Compensation of employees","score_opus":0.03763316140905996,"score_gpt":0.17820733420402696,"score_spread":0.140574172794967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7126717620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6154664,0.00007549404,0.00086809834,0.00030865564,0.0009591508,0.00010940294,0.00009102425,0.00010471488,0.38201708],"genre_scores_gemma":[0.99395305,0.000072452276,0.00022645378,0.0001584494,0.00009860524,0.000002307138,0.000031939722,0.000037357055,0.0054193744],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99865526,0.000040797706,0.00034706693,0.00055795745,0.000014136889,0.0003848023],"domain_scores_gemma":[0.9990664,0.000061765284,0.00023880087,0.00048441996,0.000006171382,0.00014242972],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00048993994,0.00017584465,0.000371193,0.0005658045,0.0006879704,0.00006201889,0.00058523484,0.00006351625,0.004745466],"category_scores_gemma":[0.000011270023,0.00029358699,0.00019567902,0.00029977798,0.000063411666,0.00032935783,0.00047268163,0.0003024074,0.0016225533],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013030699,0.00021311358,0.2578997,0.00002302283,0.00014063634,0.00009485352,0.0011291188,0.07387069,0.000010402693,0.65197736,0.012626686,0.0018841185],"study_design_scores_gemma":[0.0013808262,0.00017030096,0.0057182726,0.000004504143,0.00001685608,0.000023028486,0.0010740036,0.050803605,0.000020410722,0.076551124,0.8633652,0.0008719097],"about_ca_topic_score_codex":0.0008506149,"about_ca_topic_score_gemma":0.00039835117,"teacher_disagreement_score":0.85073847,"about_ca_system_score_codex":0.0012980327,"about_ca_system_score_gemma":0.000050763138,"threshold_uncertainty_score":0.9999516},"labels":[],"label_agreement":null},{"id":"W7126790659","doi":"","title":"HOTVal Toolkit","year":2020,"lang":"en","type":"article","venue":"eCommons (Cornell University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Valuation (finance); Real estate; Center (category theory); Real property; Service (business); Residential real estate","score_opus":0.06173250454315702,"score_gpt":0.16549868379935184,"score_spread":0.10376617925619483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7126790659","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3891643,0.00004376992,0.004206381,0.0008812883,0.00026392145,0.00008270203,0.000058341124,0.00012347306,0.60517585],"genre_scores_gemma":[0.9969207,0.00012319625,0.00029237464,0.00049912336,0.00013583119,2.2934957e-7,0.000011469045,0.000022636475,0.0019944196],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990688,0.000013755174,0.00022833729,0.0004087011,0.000009536306,0.00027086103],"domain_scores_gemma":[0.99935097,0.000036451343,0.00014015059,0.00025866984,0.000011146103,0.00020259533],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00012625905,0.00013532591,0.0002920501,0.0001404266,0.00011844572,0.000055902987,0.0003793332,0.000090389774,0.0014877273],"category_scores_gemma":[0.00004190362,0.00020001156,0.00014559572,0.00033968626,0.00005217246,0.00029946896,0.00014064358,0.00016750714,0.0040575564],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017965016,0.00015673526,0.33950245,0.000047554477,0.00014702587,0.00016928423,0.0010026874,0.0048566936,0.00001737003,0.63042694,0.02138265,0.0021109614],"study_design_scores_gemma":[0.0015772156,0.00015928283,0.018713046,0.000007921189,0.000022346188,0.000005255715,0.0003360432,0.040965166,0.0000480403,0.02104794,0.91626716,0.0008505837],"about_ca_topic_score_codex":0.00007323929,"about_ca_topic_score_gemma":0.000042485462,"teacher_disagreement_score":0.8948845,"about_ca_system_score_codex":0.000102637336,"about_ca_system_score_gemma":0.000017645649,"threshold_uncertainty_score":0.99942505},"labels":[],"label_agreement":null},{"id":"W7126937112","doi":"","title":"Year Ends; Trend Continues","year":2024,"lang":"en","type":"article","venue":"eCommons (Cornell University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Fell; Price index; Debt; Database transaction; Index (typography); Rate of return","score_opus":0.03837101402839829,"score_gpt":0.17515163638107753,"score_spread":0.13678062235267924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7126937112","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22994441,0.00029404688,0.0010157545,0.00014933849,0.00081095,0.000057019995,0.00012187944,0.00019205139,0.76741457],"genre_scores_gemma":[0.97257376,0.00035836405,0.00014866609,0.000034819383,0.00013464532,3.591761e-7,0.00002076106,0.000028010614,0.026700594],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990941,0.000012753625,0.00021259267,0.0004066256,0.000009303592,0.00026457186],"domain_scores_gemma":[0.9994825,0.00006459873,0.00006595523,0.00028602083,0.0000060724333,0.000094828436],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00020744007,0.00013421607,0.000249854,0.00043233263,0.00009012474,0.00013606335,0.00025414326,0.00009700624,0.0015662187],"category_scores_gemma":[0.0000145379945,0.00018337756,0.00016346508,0.0003584095,0.000060349907,0.0003222318,0.000088812485,0.00016455629,0.0033614873],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031153715,0.00007104757,0.060773686,0.000042892352,0.00012999114,0.0001615981,0.0004653496,0.00031426965,0.000006459849,0.9112515,0.023270136,0.00348195],"study_design_scores_gemma":[0.00035477552,0.0000377481,0.004654388,0.000021230615,0.000016459471,0.000005558355,0.00018431954,0.008669718,0.000017805736,0.029778073,0.95590425,0.00035566484],"about_ca_topic_score_codex":0.0001003046,"about_ca_topic_score_gemma":0.00027248514,"teacher_disagreement_score":0.9326341,"about_ca_system_score_codex":0.00015352332,"about_ca_system_score_gemma":0.000016689573,"threshold_uncertainty_score":0.9993465},"labels":[],"label_agreement":null},{"id":"W7127075736","doi":"10.3790/zioe.06.2.55","title":"Unterjährige Immobilienindex-Zeitreihen für Deutschland","year":2007,"lang":"","type":"article","venue":"Zeitschrift für Immobilienökonomie","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Property market; Series (stratigraphy); Price index; Order (exchange); Property (philosophy); German","score_opus":0.018066223743622052,"score_gpt":0.25762035213892254,"score_spread":0.2395541283953005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7127075736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5351814,0.005863212,0.0045593283,0.0005400267,0.008230979,0.0016846728,0.00048362982,0.00031210505,0.44314462],"genre_scores_gemma":[0.98119265,0.004519279,0.0019327365,0.0011455109,0.0025878295,0.000103454135,0.00021824002,0.00057537836,0.007724942],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9843432,0.00014558852,0.006334788,0.0041281166,0.00026686274,0.0047814515],"domain_scores_gemma":[0.9904981,0.001115303,0.002799535,0.003556872,0.0002443235,0.0017858662],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.008292733,0.0021972368,0.003489112,0.0020393888,0.0012940626,0.0013070394,0.0026273292,0.0019630205,0.0069321245],"category_scores_gemma":[0.0006221162,0.0028296541,0.0017416177,0.0014589923,0.0011257235,0.0021078018,0.0011497297,0.0021044903,0.01574548],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033417356,0.0038280159,0.59282666,0.00084218616,0.0019881234,0.00041746936,0.005803209,0.0021527498,0.00054409483,0.2516513,0.011416173,0.1251883],"study_design_scores_gemma":[0.00658191,0.0010417729,0.0615805,0.0002490102,0.00020929919,0.0001652934,0.0015650805,0.0043613804,0.002003393,0.0030378045,0.91464335,0.0045612236],"about_ca_topic_score_codex":0.0010052122,"about_ca_topic_score_gemma":0.0011153078,"teacher_disagreement_score":0.90322715,"about_ca_system_score_codex":0.0005737098,"about_ca_system_score_gemma":0.00055844453,"threshold_uncertainty_score":0.9997297},"labels":[],"label_agreement":null},{"id":"W7127076301","doi":"10.3790/gjrer.11.1.5","title":"Angebots- und Transaktionspreise von selbstgenutztem Wohneigentum im Ländlichen Raum","year":2012,"lang":"","type":"article","venue":"Zeitschrift für Immobilienökonomie","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Allowance (engineering); Disadvantage; Work (physics); Order (exchange); Listing (finance)","score_opus":0.027520694312904312,"score_gpt":0.25583488790394526,"score_spread":0.22831419359104094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7127076301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5689225,0.038710933,0.0028233347,0.0011172016,0.014640298,0.00224581,0.0011608828,0.0003590926,0.3700199],"genre_scores_gemma":[0.9775113,0.01036039,0.0014869593,0.0007623382,0.0034125932,0.00029118787,0.00023958004,0.00047575688,0.0054599373],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9891758,0.00023117826,0.0040030526,0.0023758577,0.00018566096,0.0040284353],"domain_scores_gemma":[0.9931736,0.00046732617,0.0017914071,0.0026587113,0.00014964363,0.0017593078],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0040495517,0.0017067061,0.0026222728,0.0012119339,0.0013091112,0.00082026405,0.0016527359,0.0014299676,0.0066395807],"category_scores_gemma":[0.00027444607,0.0022974664,0.0015140463,0.0011027128,0.0007195707,0.0031944497,0.00048927456,0.0014769827,0.015772307],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001189773,0.0066276407,0.5806167,0.0012712772,0.0036563792,0.000034198834,0.013547956,0.0024817616,0.00047292234,0.28404525,0.020113366,0.085942775],"study_design_scores_gemma":[0.0034313316,0.00036407606,0.043575056,0.00013462028,0.0004569237,0.00003889937,0.0007971557,0.0044245617,0.0012162231,0.0010952329,0.94118404,0.00328186],"about_ca_topic_score_codex":0.0005212946,"about_ca_topic_score_gemma":0.0001239159,"teacher_disagreement_score":0.9210707,"about_ca_system_score_codex":0.0005472109,"about_ca_system_score_gemma":0.00038215477,"threshold_uncertainty_score":0.99999106},"labels":[],"label_agreement":null},{"id":"W7127188802","doi":"10.3790/zioe.011.1.5","title":"Angebots- und Transaktionspreise von selbstgenutztem Wohneigentum im Ländlichen Raum","year":2012,"lang":"","type":"article","venue":"Zeitschrift für Immobilienökonomie","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Allowance (engineering); Disadvantage; Work (physics); Order (exchange); Listing (finance)","score_opus":0.027520694312904312,"score_gpt":0.25583488790394526,"score_spread":0.22831419359104094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7127188802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5689225,0.038710933,0.0028233347,0.0011172016,0.014640298,0.00224581,0.0011608828,0.0003590926,0.3700199],"genre_scores_gemma":[0.9775113,0.01036039,0.0014869593,0.0007623382,0.0034125932,0.00029118787,0.00023958004,0.00047575688,0.0054599373],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9891758,0.00023117826,0.0040030526,0.0023758577,0.00018566096,0.0040284353],"domain_scores_gemma":[0.9931736,0.00046732617,0.0017914071,0.0026587113,0.00014964363,0.0017593078],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0040495517,0.0017067061,0.0026222728,0.0012119339,0.0013091112,0.00082026405,0.0016527359,0.0014299676,0.0066395807],"category_scores_gemma":[0.00027444607,0.0022974664,0.0015140463,0.0011027128,0.0007195707,0.0031944497,0.00048927456,0.0014769827,0.015772307],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001189773,0.0066276407,0.5806167,0.0012712772,0.0036563792,0.000034198834,0.013547956,0.0024817616,0.00047292234,0.28404525,0.020113366,0.085942775],"study_design_scores_gemma":[0.0034313316,0.00036407606,0.043575056,0.00013462028,0.0004569237,0.00003889937,0.0007971557,0.0044245617,0.0012162231,0.0010952329,0.94118404,0.00328186],"about_ca_topic_score_codex":0.0005212946,"about_ca_topic_score_gemma":0.0001239159,"teacher_disagreement_score":0.9210707,"about_ca_system_score_codex":0.0005472109,"about_ca_system_score_gemma":0.00038215477,"threshold_uncertainty_score":0.99999106},"labels":[],"label_agreement":null},{"id":"W7128928943","doi":"10.15640/jibe.v11a1","title":"Assessing Housing Price Bubbles through an Affordability and Profitability Ratio Analysis. The case of Greek Residential Market","year":2023,"lang":"","type":"article","venue":"Journal of International Business and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Real estate; Profitability index; Valuation (finance); Sample (material); Context (archaeology); Residential real estate; Income approach; Cointegration","score_opus":0.040854059501554,"score_gpt":0.2805566613178199,"score_spread":0.23970260181626593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7128928943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98788947,0.0007318876,0.0036535852,0.0023502766,0.0023431068,0.00022667286,0.00018798857,0.000010610868,0.002606378],"genre_scores_gemma":[0.98209226,0.01547484,0.0016306257,0.000073402865,0.00060000713,0.000003945273,0.00002120937,0.000038355236,0.00006533338],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959787,0.00013006988,0.0028228883,0.0006042793,0.00007020388,0.00039384785],"domain_scores_gemma":[0.9945993,0.0006503482,0.0035238594,0.00046726622,0.000599055,0.00016021413],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005706677,0.00035543702,0.0012391364,0.0008047451,0.00044987985,0.0013063943,0.00048399097,0.00022509057,0.00028943262],"category_scores_gemma":[0.0007552884,0.00034674237,0.00035168024,0.00080280536,0.0005304214,0.0047697327,0.00034465385,0.00036380315,0.0000038460767],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010604112,0.00058263354,0.9119983,0.0006440372,0.004690225,0.00032754533,0.0045092674,0.03381809,0.000039304603,0.019720566,0.00034845722,0.02226122],"study_design_scores_gemma":[0.0014038299,0.00012395738,0.72971815,0.00009680656,0.00066553993,0.0009459531,0.0051918663,0.23230958,0.000029912477,0.026952427,0.0019907963,0.0005711566],"about_ca_topic_score_codex":0.0011760158,"about_ca_topic_score_gemma":0.0012955166,"teacher_disagreement_score":0.1984915,"about_ca_system_score_codex":0.00028077647,"about_ca_system_score_gemma":0.0002503039,"threshold_uncertainty_score":0.99989843},"labels":[],"label_agreement":null},{"id":"W7130710000","doi":"10.1109/swc65939.2025.00055","title":"Advanced Machine Learning for House Price Prediction","year":2025,"lang":"","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University of Edmonton","funders":"Concordia University","keywords":"Feature engineering; Gradient boosting; Hyperparameter; Random forest; Real estate; Predictive modelling; Support vector machine; Regression; Key (lock); Boosting (machine learning)","score_opus":0.015351707704784319,"score_gpt":0.21332065973168876,"score_spread":0.19796895202690445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7130710000","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07569583,0.005247732,0.3100747,0.002327891,0.0078041903,0.001743157,0.00030802758,0.00057071244,0.59622777],"genre_scores_gemma":[0.9201732,0.0105053475,0.0051645883,0.00051538687,0.00027336788,0.0001252423,0.00006475569,0.000120550336,0.06305754],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970137,0.000023813704,0.0013424678,0.0009119235,0.000023200657,0.00068489596],"domain_scores_gemma":[0.9985092,0.00028868447,0.0005445969,0.0004617832,0.000070222646,0.00012549837],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011199143,0.00035765007,0.000760932,0.00057347084,0.0005639005,0.00028175442,0.00031873074,0.00032720465,0.0007009912],"category_scores_gemma":[0.0005310146,0.000493148,0.000335204,0.00044530135,0.00007061413,0.0005183046,0.00014446693,0.00038143407,0.00032916595],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013941567,0.0008107698,0.2789816,0.0013344426,0.0009150098,0.0000023671178,0.0009911438,0.040318366,0.00007626101,0.33601952,0.01043097,0.32872543],"study_design_scores_gemma":[0.0022200963,0.0002082759,0.004979976,0.000059808677,0.00003667001,9.483671e-7,0.00011020911,0.4020792,0.00009900272,0.010242854,0.5795563,0.00040668572],"about_ca_topic_score_codex":0.000100876336,"about_ca_topic_score_gemma":0.000072279174,"teacher_disagreement_score":0.8444774,"about_ca_system_score_codex":0.00043510512,"about_ca_system_score_gemma":0.00008724461,"threshold_uncertainty_score":0.99975204},"labels":[],"label_agreement":null},{"id":"W7131417954","doi":"10.5220/0014379000004918","title":"Predicting House Price with multiple LASSO Regression and Linear Regression","year":2025,"lang":"","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Linear regression; Proper linear model; Regression analysis; Regression; Lasso (programming language); Polynomial regression; Linear model; Regression dilution","score_opus":0.016998363263201123,"score_gpt":0.22013465794275325,"score_spread":0.20313629467955213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7131417954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8487422,0.0026719826,0.004752894,0.0013774429,0.0013403073,0.00059446436,0.00004958616,0.00024323033,0.1402279],"genre_scores_gemma":[0.9725529,0.008789055,0.00573182,0.00034748125,0.00023824746,0.000021414698,0.0000109039,0.00010982733,0.012198326],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99665016,0.000050813946,0.0012370846,0.0012489894,0.00005797549,0.0007549973],"domain_scores_gemma":[0.99761975,0.00043346916,0.00083303795,0.0007853359,0.00007756627,0.00025082825],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010914501,0.0005461658,0.0009915816,0.0005828125,0.0006949009,0.00036217365,0.0003314606,0.00048301884,0.0002412699],"category_scores_gemma":[0.00048795546,0.0004952136,0.0001331408,0.0005631296,0.00021331986,0.0006505952,0.00043846713,0.000560702,0.0001328439],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054681284,0.00022157533,0.9765965,0.00036059585,0.00016621761,0.000012307192,0.00066810136,0.00026451913,0.000024536977,0.0039603063,0.0018896677,0.015288898],"study_design_scores_gemma":[0.008813829,0.00065194204,0.14014213,0.003464993,0.00014378526,0.000029398041,0.0014701722,0.6814746,0.0010634182,0.002868766,0.15784936,0.0020275707],"about_ca_topic_score_codex":0.0003956825,"about_ca_topic_score_gemma":0.0003148267,"teacher_disagreement_score":0.83645433,"about_ca_system_score_codex":0.00025267102,"about_ca_system_score_gemma":0.00012889436,"threshold_uncertainty_score":0.99974996},"labels":[],"label_agreement":null},{"id":"W7132330467","doi":"","title":"Konut finansman sistemleri, Türkiye&apos;de konut finansman sisteminin etkisinin belli başlı sektörler üzerinde araştırılması","year":2009,"lang":"tr","type":"dissertation","venue":"Marmara University Open Access System","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Quarter (Canadian coin); Paid work; Residence","score_opus":0.08022621195532983,"score_gpt":0.3046244802382169,"score_spread":0.2243982682828871,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132330467","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44507685,0.00089508336,0.00047137518,0.00054887845,0.0033463687,0.0028647387,0.0010172158,0.000264552,0.54551494],"genre_scores_gemma":[0.8638937,0.004651208,0.00097578205,0.00031373004,0.0005630752,0.00004324213,0.0021323846,0.00034292508,0.12708396],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9898736,0.0004703493,0.0033900277,0.0035563782,0.00032620085,0.0023834829],"domain_scores_gemma":[0.9912117,0.0003358996,0.004856028,0.0022887907,0.0003591375,0.00094845146],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0035114726,0.0020619389,0.0044964734,0.00217053,0.0022377193,0.0065145753,0.0103073735,0.0022931779,0.0011023297],"category_scores_gemma":[0.00010432221,0.0030129354,0.0015884623,0.0017680743,0.00026193028,0.0049956073,0.002430686,0.0017234643,0.0020467932],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011811926,0.0049631386,0.5499803,0.040002234,0.006595164,0.0043515847,0.021535467,0.009904481,0.00008283913,0.16371638,0.116611235,0.07044527],"study_design_scores_gemma":[0.009581542,0.0007607817,0.244598,0.007718242,0.0013321624,0.00018737583,0.02143004,0.018825704,0.0001484867,0.00060940965,0.6862947,0.008513583],"about_ca_topic_score_codex":0.010814387,"about_ca_topic_score_gemma":0.005556741,"teacher_disagreement_score":0.56968343,"about_ca_system_score_codex":0.0052226167,"about_ca_system_score_gemma":0.0010191799,"threshold_uncertainty_score":0.9998108},"labels":[],"label_agreement":null},{"id":"W7132896348","doi":"","title":"An Investigation of the Housing Market and the Supply Modelling Process","year":2024,"lang":"","type":"dissertation","venue":"TSpace","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public housing; Subdivision; Process (computing); Autoregressive model; Duration (music); Supply and demand; Distribution (mathematics); Phase (matter)","score_opus":0.0238475187896045,"score_gpt":0.2562930723164082,"score_spread":0.23244555352680368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132896348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96652454,0.003695156,0.00059345906,0.0011345559,0.0016869829,0.00076408114,0.000042733514,0.000028769358,0.025529698],"genre_scores_gemma":[0.9912803,0.004575267,0.00038816623,0.00011110578,0.00022761607,0.0000395076,0.00005783187,0.00011553456,0.003204672],"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99747384,0.00016918365,0.0011223577,0.0007749791,0.00008059544,0.00037903537],"domain_scores_gemma":[0.99749804,0.00031448057,0.0012698013,0.00071910105,0.00009409336,0.0001045177],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002988112,0.0004373372,0.00083608564,0.00026251588,0.00045594943,0.0005256262,0.00058350485,0.00049103715,0.00018170198],"category_scores_gemma":[0.0001144464,0.0003573324,0.0002483872,0.0005269674,0.00047069715,0.00036768752,0.00007703921,0.00077825616,0.00002302493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024808221,0.00018186781,0.09174019,0.009555941,0.0010136549,0.0000043590444,0.63467884,0.14491856,0.000106575535,0.10263835,0.0010983655,0.011582486],"study_design_scores_gemma":[0.00076493033,0.000039406634,0.0023395491,0.00060449826,0.00018321918,0.000003533454,0.015847571,0.8989683,0.00027661384,0.08006525,0.00039257878,0.00051458774],"about_ca_topic_score_codex":0.0011109688,"about_ca_topic_score_gemma":0.00038530794,"teacher_disagreement_score":0.7540497,"about_ca_system_score_codex":0.00013457853,"about_ca_system_score_gemma":0.00023212303,"threshold_uncertainty_score":0.9998879},"labels":[],"label_agreement":null},{"id":"W7132989645","doi":"","title":"Spatio-temporal modelling of housing starts in the greater Toronto area","year":2003,"lang":"","type":"dissertation","venue":"TSpace","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Apartment; Real estate; Proxy (statistics); Subdivision; Built environment; Aggregate (composite); Public housing; Variance (accounting)","score_opus":0.06747875649760936,"score_gpt":0.26221932895635913,"score_spread":0.19474057245874976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132989645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84916157,0.002064083,0.0028386137,0.00010956903,0.0012062846,0.00058216625,0.00004133876,0.00001324085,0.14398317],"genre_scores_gemma":[0.99151796,0.0031187383,0.0011369096,0.0000996363,0.0001211341,0.000032957858,0.00033602843,0.000111709145,0.003524906],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99646544,0.00010375935,0.0017789204,0.0008560292,0.00009690271,0.0006989194],"domain_scores_gemma":[0.99721456,0.00012219332,0.0016379904,0.00085206307,0.00008099554,0.00009220491],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017861315,0.0005945398,0.0012813829,0.00032359955,0.00021192823,0.00023547263,0.0005270825,0.00055935944,0.0014362102],"category_scores_gemma":[0.000056181365,0.0006594902,0.00035256537,0.0002787335,0.000080321646,0.00046269145,0.000035812576,0.00044912248,0.00006910796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015319969,0.0011550083,0.40443492,0.0020002036,0.00055716507,0.0000631218,0.32076776,0.24332078,0.000014704812,0.01857676,0.0017012982,0.005876289],"study_design_scores_gemma":[0.005307654,0.00076095737,0.0155755095,0.0016830638,0.00033439355,0.000018396373,0.12840156,0.77887523,0.0005099358,0.015764523,0.047138482,0.005630311],"about_ca_topic_score_codex":0.018184794,"about_ca_topic_score_gemma":0.022941172,"teacher_disagreement_score":0.5355544,"about_ca_system_score_codex":0.0006026245,"about_ca_system_score_gemma":0.00014724713,"threshold_uncertainty_score":0.9995856},"labels":[],"label_agreement":null},{"id":"W7133003304","doi":"","title":"Thesis on the Canadian Housing Market","year":2024,"lang":"","type":"dissertation","venue":"TSpace","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Real estate; Counterfactual thinking; Immigration; Investment (military); Public policy; Property value; Value (mathematics); Property market","score_opus":0.035744566856236844,"score_gpt":0.2547650150565546,"score_spread":0.21902044820031774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133003304","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21310687,0.0015992334,0.0000070450774,0.008415473,0.0058963564,0.00054022693,0.00011953157,0.000058910857,0.77025634],"genre_scores_gemma":[0.8706705,0.0031292653,0.00006393575,0.0012254178,0.0007508099,0.00006443609,0.00012554096,0.0002827018,0.12368742],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963815,0.00007784524,0.0010353343,0.0012567581,0.000089288784,0.0011592495],"domain_scores_gemma":[0.9972244,0.0004645051,0.0006601389,0.0011713656,0.000059161197,0.00042045346],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0021270402,0.00078552327,0.00097013765,0.0010880546,0.001305362,0.0017741397,0.00084571424,0.00088893925,0.013697505],"category_scores_gemma":[0.00038883256,0.0008004029,0.0005750432,0.000617486,0.00013268893,0.00014210667,0.00006508783,0.0013302326,0.012480946],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006251207,0.00028204606,0.008420426,0.0016553809,0.002383411,0.00024668945,0.083259955,0.00090135256,0.000009873289,0.4421656,0.40846625,0.051583875],"study_design_scores_gemma":[0.00032382045,0.00013636926,0.0060741003,0.00085175736,0.00019997975,0.000006829341,0.0117867,0.026783966,0.000081421866,0.021796184,0.9297867,0.0021722182],"about_ca_topic_score_codex":0.2419387,"about_ca_topic_score_gemma":0.6507753,"teacher_disagreement_score":0.6575636,"about_ca_system_score_codex":0.0018509369,"about_ca_system_score_gemma":0.00081276795,"threshold_uncertainty_score":0.9999948},"labels":[],"label_agreement":null},{"id":"W7133058516","doi":"","title":"Real estate liquidity risks, price risks, and cities","year":2002,"lang":"","type":"dissertation","venue":"TSpace","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto","keywords":"Market liquidity; Real estate; Liquidity premium; Liquidity crisis; Liquidity risk; Accounting liquidity; Asset (computer security)","score_opus":0.08144274251375287,"score_gpt":0.3032438394554624,"score_spread":0.22180109694170952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133058516","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62398064,0.0014878315,0.00006456724,0.00020723202,0.0020706598,0.00042657877,0.000176609,0.00008309982,0.3715028],"genre_scores_gemma":[0.56725377,0.39490646,0.00060677103,0.000046147168,0.0005493135,0.000050529303,0.00037075556,0.0001939858,0.036022265],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99525934,0.000091204165,0.001706843,0.0016607402,0.00009482063,0.0011870458],"domain_scores_gemma":[0.9960337,0.00031172833,0.0021376805,0.00094564183,0.00011497879,0.0004562537],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012943919,0.0010037936,0.0018202137,0.0006952017,0.00074096536,0.0007284721,0.0005265608,0.0010600496,0.0028057343],"category_scores_gemma":[0.0002766993,0.0014366574,0.000367272,0.00036964487,0.00027716247,0.0005590531,0.000178122,0.0010111753,0.0013323029],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031198729,0.0019393517,0.23394635,0.007831393,0.003076405,0.00024613165,0.32883015,0.002883548,0.00011707133,0.024137555,0.027475206,0.36639696],"study_design_scores_gemma":[0.006225577,0.0015458629,0.2891875,0.00091278105,0.00071549456,0.000074272575,0.049513005,0.09975815,0.00044847195,0.010185582,0.5309553,0.01047802],"about_ca_topic_score_codex":0.021252196,"about_ca_topic_score_gemma":0.0014734177,"teacher_disagreement_score":0.5034801,"about_ca_system_score_codex":0.00048316427,"about_ca_system_score_gemma":0.00012893078,"threshold_uncertainty_score":0.99944526},"labels":[],"label_agreement":null},{"id":"W7133076234","doi":"","title":"Essays in the Economics of Housing Affordability and Regulation","year":2025,"lang":"","type":"dissertation","venue":"TSpace","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Redevelopment; Deregulation; Gentrification; Renting; Welfare; Productivity; Metropolitan area; Counterfactual thinking; Externality; Housing tenure","score_opus":0.02840199639987669,"score_gpt":0.26575358610287414,"score_spread":0.23735158970299744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133076234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8256751,0.0010218152,0.00021532827,0.00048149689,0.0008716151,0.0005793601,0.000047159334,0.000009897648,0.17109825],"genre_scores_gemma":[0.99078876,0.0064624515,0.00044445915,0.000068616086,0.00009303863,0.000041808617,0.00016221685,0.000039720173,0.001898905],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9970183,0.00009576897,0.0016240126,0.0008103679,0.0000342846,0.00041731383],"domain_scores_gemma":[0.9971732,0.0004666966,0.0014479635,0.00080280245,0.000054745637,0.00005458894],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0026163168,0.000420632,0.0011355183,0.00062517077,0.00020720308,0.00019759378,0.0004321247,0.0005580184,0.0001945462],"category_scores_gemma":[0.00026790713,0.0004955426,0.0002174266,0.0004158614,0.00014128529,0.00027914622,0.00008364905,0.00045613103,0.000014179302],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011842857,0.0008739741,0.29416484,0.0050853454,0.00036329517,0.0000037317932,0.08190076,0.011824836,0.000041237432,0.50364596,0.00046214327,0.10044961],"study_design_scores_gemma":[0.0047163167,0.00046733694,0.4330582,0.001435622,0.0003180836,0.000008497913,0.051720552,0.18516178,0.0005121746,0.29571074,0.023738252,0.003152431],"about_ca_topic_score_codex":0.0018123419,"about_ca_topic_score_gemma":0.004530469,"teacher_disagreement_score":0.2079352,"about_ca_system_score_codex":0.00026572897,"about_ca_system_score_gemma":0.00020835051,"threshold_uncertainty_score":0.9997496},"labels":[],"label_agreement":null},{"id":"W7134532028","doi":"","title":"A reusable, extensible Netlogo building block of land and housingmarkets in a touristic region","year":2022,"lang":"","type":"article","venue":"ScholarsArchive  (Brigham Young University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Block (permutation group theory); Process (computing); Land use; NetLogo; Property (philosophy); Code (set theory); Renting; Plan (archaeology); Suite","score_opus":0.016275724926101572,"score_gpt":0.18270639096013283,"score_spread":0.16643066603403125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7134532028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90844095,0.0011809579,0.0003976246,0.00019457893,0.00078075024,0.00043691788,0.0002277338,0.000030169354,0.08831031],"genre_scores_gemma":[0.99211437,0.0037032191,0.0011853782,0.000050810875,0.00007558194,0.0000020143652,0.000017447528,0.00006173971,0.0027894478],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99679434,0.00032810212,0.0008796506,0.0011164637,0.00009915902,0.0007822817],"domain_scores_gemma":[0.9979008,0.00027861292,0.00089387904,0.000641915,0.00005736808,0.00022741553],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012476504,0.0003965996,0.0010048397,0.002403911,0.00082797767,0.00018045647,0.000661871,0.00016260624,0.00012202095],"category_scores_gemma":[0.00022654922,0.000635841,0.00021487249,0.0013481826,0.00033439207,0.0007291939,0.0011326465,0.0011269328,0.000009692191],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013449722,0.00046963638,0.94091916,0.00025994165,0.00022602688,0.0010591856,0.0016905707,0.0055791424,0.00016029408,0.04575144,0.00032656887,0.0022130443],"study_design_scores_gemma":[0.014471098,0.0016926784,0.68426555,0.0007942231,0.00037565676,0.00092144625,0.002944343,0.0607133,0.000085618594,0.05602226,0.17399481,0.0037189831],"about_ca_topic_score_codex":0.0016915116,"about_ca_topic_score_gemma":0.0003370807,"teacher_disagreement_score":0.2566536,"about_ca_system_score_codex":0.00073519076,"about_ca_system_score_gemma":0.00024156309,"threshold_uncertainty_score":0.9996093},"labels":[],"label_agreement":null},{"id":"W7134613535","doi":"","title":"Three essays on real estate investment","year":2014,"lang":"en","type":"article","venue":"theses.fr (ABES)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate investment trust; Real estate; Estate; Investment (military); Residential real estate","score_opus":0.03762355614980756,"score_gpt":0.2141384089848622,"score_spread":0.17651485283505464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7134613535","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3161374,0.000014560508,0.00058513135,0.00026183977,0.0004492532,0.00012402204,0.000022426379,0.00008425581,0.68232113],"genre_scores_gemma":[0.99697214,0.0010424585,0.00062075444,0.0007655551,0.0003095028,0.000025753683,0.00001728939,0.00006417307,0.00018237584],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984061,0.000023284249,0.00054431753,0.00050226285,0.00004204709,0.0004819848],"domain_scores_gemma":[0.99869764,0.00015593477,0.00027292845,0.00069592847,0.000015413052,0.0001621662],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010190633,0.00024638555,0.00047510897,0.00018932093,0.00014194591,0.00012341797,0.0003577544,0.00012514563,0.00051781],"category_scores_gemma":[0.00012491863,0.0002696236,0.00013266697,0.00012160292,0.00009016231,0.00017761473,0.00009482059,0.00018877459,0.0047105076],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003392262,0.00011040421,0.019068249,0.000020134212,0.000042591062,0.0000029972396,0.00083484524,0.0002667832,0.000010410218,0.95344055,0.00076514855,0.02540394],"study_design_scores_gemma":[0.0012713806,0.00030502563,0.021208638,0.000035434008,0.0000163449,0.000004721778,0.00020792084,0.016537787,0.0001781286,0.4588475,0.5005328,0.00085433584],"about_ca_topic_score_codex":0.002780448,"about_ca_topic_score_gemma":0.00066319725,"teacher_disagreement_score":0.68213874,"about_ca_system_score_codex":0.00016993897,"about_ca_system_score_gemma":0.000016407046,"threshold_uncertainty_score":0.9999756},"labels":[],"label_agreement":null},{"id":"W7135527207","doi":"","title":"The Influence of Monetary Policy on Real Estate Market as a Potential Catalyst for Economic Crisis","year":2015,"lang":"cs","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Interest rate; Quarter (Canadian coin); Point (geometry); Monetary policy; Work (physics); Real interest rate; Panel data; Capitalization rate","score_opus":0.007349643967724987,"score_gpt":0.23545310296894348,"score_spread":0.22810345900121848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7135527207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6807215,0.0008387483,0.000005072784,0.00012222427,0.0029078706,0.0007779994,0.0026271667,0.00003080343,0.31196856],"genre_scores_gemma":[0.9770702,0.0018792116,0.00007536402,0.00004378885,0.0013414981,0.00011495693,0.002191736,0.0001432206,0.017140027],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9941833,0.00009179395,0.0033523634,0.0013030183,0.0004204482,0.00064908026],"domain_scores_gemma":[0.9922101,0.00074306986,0.004277734,0.0009884415,0.0014430654,0.00033759896],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009847698,0.0008303228,0.0013668356,0.0009419276,0.0007301719,0.0015356782,0.0010462288,0.00079941755,0.000005363363],"category_scores_gemma":[0.0008130424,0.0008865799,0.0010196443,0.00030735653,0.0003737937,0.0015844897,0.00012217303,0.00052740925,0.00004053215],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.08688571,0.00772839,0.11552515,0.014502011,0.020973587,0.00078321004,0.04382606,0.2738154,0.005447948,0.22100571,0.1550959,0.054410934],"study_design_scores_gemma":[0.017642174,0.011363903,0.33591914,0.0066128788,0.0015591825,0.0018621824,0.0086450605,0.054373786,0.016588671,0.1917924,0.33903074,0.014609871],"about_ca_topic_score_codex":0.001440249,"about_ca_topic_score_gemma":0.00005490136,"teacher_disagreement_score":0.29634866,"about_ca_system_score_codex":0.0012843232,"about_ca_system_score_gemma":0.0023230945,"threshold_uncertainty_score":0.9995008},"labels":[],"label_agreement":null},{"id":"W7139541967","doi":"","title":"Modelling Housing Market Dynamics and Residential Location Choice for a Next Generation Integrated Land Use and Transportation Model","year":2025,"lang":"","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Relocation; Preference; Telecommuting; Choice modelling; Discrete choice; Hazard; Empirical research; Listing (finance); Latent class model; Revealed preference","score_opus":0.04318386689274677,"score_gpt":0.22200996274280577,"score_spread":0.17882609585005899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7139541967","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.630758,0.0010896217,0.3652551,0.0000861674,0.0003014147,0.0005313134,0.00042146782,0.000018722247,0.0015382329],"genre_scores_gemma":[0.9581496,0.0179914,0.016383516,0.000011329083,0.000059345126,0.0000024318651,0.0024736256,0.00004261921,0.004886111],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99833184,0.00003339267,0.0005174285,0.0007751815,0.000052313564,0.00028983483],"domain_scores_gemma":[0.9982613,0.0001431279,0.000924108,0.0002562841,0.00030711095,0.00010807942],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042030838,0.00035815843,0.0007380384,0.0002644672,0.00053178053,0.00027264227,0.00016187452,0.00056250347,0.00023692008],"category_scores_gemma":[0.00006323435,0.0006060974,0.00014307274,0.00011477853,0.00007853154,0.0023421866,0.000023703438,0.00017930876,6.370898e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0039159115,0.00028978693,0.02528807,0.0043743183,0.0009304662,0.000003629026,0.03590046,0.81828856,0.00016996375,0.015067773,0.00048464988,0.095286414],"study_design_scores_gemma":[0.0013439299,0.00007285177,0.015036046,0.0002466217,0.00030635577,2.9016098e-7,0.004485706,0.9776694,0.000006209145,0.00023825215,0.00011050988,0.00048381978],"about_ca_topic_score_codex":0.202626,"about_ca_topic_score_gemma":0.55880344,"teacher_disagreement_score":0.3561774,"about_ca_system_score_codex":0.000674832,"about_ca_system_score_gemma":0.00020256115,"threshold_uncertainty_score":0.99963903},"labels":[],"label_agreement":null},{"id":"W7139870689","doi":"","title":"January 10, 2017 Finance and Facilities (F&F) Committee Meeting","year":2017,"lang":"","type":"article","venue":"UNM’s Digital Repository (University of New Mexico)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Commission; Work (physics); Citation; Quarter (Canadian coin)","score_opus":0.029843453444942773,"score_gpt":0.1917688280087878,"score_spread":0.16192537456384504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7139870689","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4635509,0.0018033155,0.00019369203,0.0003803201,0.0008490388,0.00016832269,0.00025661598,0.000027778447,0.53277004],"genre_scores_gemma":[0.8200051,0.0028242238,0.0003642245,0.000017449463,0.00015875665,1.9696515e-7,0.000011672665,0.00002802455,0.17659032],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976798,0.000023725492,0.0006880724,0.00092054595,0.0000925868,0.000595234],"domain_scores_gemma":[0.99621356,0.0001473588,0.001831896,0.0014005912,0.00008829714,0.0003182835],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00031933165,0.0004324102,0.0010265973,0.00022365467,0.0020612357,0.0011942916,0.0012395383,0.00037437648,0.00013333486],"category_scores_gemma":[0.00019928563,0.0006980834,0.00037248802,0.00007260544,0.0011342313,0.003511964,0.00095725775,0.00031808304,0.00025429096],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014050974,0.00075331837,0.7252684,0.0011146371,0.0011842097,0.00055724045,0.016898425,0.00052445225,0.000059403763,0.01892664,0.10780004,0.12550813],"study_design_scores_gemma":[0.003931282,0.0006048334,0.15610033,0.00067314313,0.00012377143,0.00010461315,0.0073741227,0.007502069,0.00015524334,0.014999112,0.8063419,0.0020896138],"about_ca_topic_score_codex":0.0022666315,"about_ca_topic_score_gemma":0.0001881874,"teacher_disagreement_score":0.6985418,"about_ca_system_score_codex":0.0002220456,"about_ca_system_score_gemma":0.00019289927,"threshold_uncertainty_score":0.9998426},"labels":[],"label_agreement":null},{"id":"W7144139633","doi":"10.70675/079192abz61d3z4640z8dcdz58d49773d23c","title":"Essays on Macroeconomic Price Adjustments","year":2013,"lang":"","type":"dissertation","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public investment; Economic analysis; Context (archaeology)","score_opus":0.0198199380538407,"score_gpt":0.2223771288652033,"score_spread":0.20255719081136261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7144139633","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3722222,0.00051777787,0.000114439565,0.00015484555,0.0070052943,0.0010435593,0.00020617632,0.00009006813,0.61864567],"genre_scores_gemma":[0.75583583,0.012824122,0.0008442828,0.0014926754,0.0010116191,0.0007022215,0.0017370305,0.0005007374,0.22505148],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9924589,0.00005006289,0.0033025732,0.0025058957,0.000081250095,0.0016013437],"domain_scores_gemma":[0.99471945,0.00023544497,0.0027480926,0.0016186237,0.000107315725,0.0005710857],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0009060938,0.0014336748,0.00232655,0.0013078908,0.0005631791,0.0009651134,0.0012622351,0.00146412,0.06405072],"category_scores_gemma":[0.00014085478,0.0019229223,0.00085631944,0.0003257271,0.0001161293,0.00089386123,0.00015740546,0.0010641366,0.11662692],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001083334,0.0028351203,0.035032026,0.0017656502,0.0025931022,0.000034183475,0.0039136643,0.001764695,0.000042257572,0.75009626,0.09257181,0.10826787],"study_design_scores_gemma":[0.012315764,0.0026465692,0.099798135,0.0012612224,0.00045228095,0.000032223277,0.005222685,0.093459085,0.0014589695,0.13824852,0.6286741,0.016430452],"about_ca_topic_score_codex":0.0008480199,"about_ca_topic_score_gemma":0.00014888306,"teacher_disagreement_score":0.61184776,"about_ca_system_score_codex":0.0013844754,"about_ca_system_score_gemma":0.00020715901,"threshold_uncertainty_score":0.99984133},"labels":[],"label_agreement":null},{"id":"W7147179293","doi":"10.70675/a99e519ezb62ez4c86zbc54z5c3d9c7c81a1","title":"Three essays on real estate investment","year":2014,"lang":"","type":"dissertation","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate investment trust; Real estate; Estate; Investment (military); Residential real estate","score_opus":0.027609633094000385,"score_gpt":0.22527436537850762,"score_spread":0.19766473228450723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7147179293","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25521883,0.000044457858,0.00066512835,0.00018751979,0.004921136,0.00057905645,0.0001045497,0.000087791006,0.73819155],"genre_scores_gemma":[0.8585148,0.07684645,0.0032674281,0.0030689216,0.002395842,0.00035610297,0.004378039,0.00087321526,0.050299212],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99433905,0.000037254053,0.0025140424,0.0018924684,0.00009562534,0.001121545],"domain_scores_gemma":[0.9958539,0.0002389064,0.0019442184,0.0014265324,0.000079228885,0.00045719976],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015280775,0.0010736497,0.0018881522,0.0009250664,0.000475952,0.0005604712,0.00078840327,0.0010260668,0.0039148484],"category_scores_gemma":[0.0001397091,0.0013739716,0.0006373242,0.00029216253,0.00012250883,0.00030053378,0.000098195575,0.00078574766,0.012304217],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006254263,0.00065723853,0.020817729,0.00057148363,0.000546074,0.000015978896,0.0019863294,0.0011795076,0.0000052587993,0.8100226,0.010505629,0.15306675],"study_design_scores_gemma":[0.0055858097,0.002481764,0.07153547,0.00059802004,0.00026334045,0.0000074166496,0.001318563,0.13764998,0.00020879775,0.33254766,0.44021735,0.007585807],"about_ca_topic_score_codex":0.0043643583,"about_ca_topic_score_gemma":0.009185928,"teacher_disagreement_score":0.6878923,"about_ca_system_score_codex":0.0007001011,"about_ca_system_score_gemma":0.00016909515,"threshold_uncertainty_score":0.99887097},"labels":[],"label_agreement":null},{"id":"W7159554970","doi":"","title":"Utah County Housing Trends from 2000-2016: A Quantitative Research Analysis","year":2017,"lang":"en","type":"article","venue":"ScholarsArchive  (Brigham Young University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Real estate; Database transaction; Hedonic pricing; House price; Residential real estate; Transaction data; Quarter (Canadian coin)","score_opus":0.08640486742644451,"score_gpt":0.28736506049892563,"score_spread":0.2009601930724811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7159554970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51980495,0.00017532802,0.0028045378,0.00026306725,0.00040043629,0.000101365564,0.0009870166,0.000061107115,0.47540218],"genre_scores_gemma":[0.9836603,0.00044168913,0.0030775436,0.000029622654,0.0001476408,0.0000011048357,0.00012653682,0.000042289153,0.012473306],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99754244,0.00016712138,0.00043408014,0.0010056816,0.00011971563,0.00073096604],"domain_scores_gemma":[0.9974087,0.0002573138,0.00058353407,0.0013520466,0.00014269595,0.00025569563],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0014428229,0.0002718284,0.0007101262,0.0027545001,0.0024224364,0.0011669304,0.0013906491,0.00017949552,0.00066797435],"category_scores_gemma":[0.00034095717,0.000357247,0.00040944453,0.0010380815,0.0006119109,0.0017860793,0.0005127633,0.00079834095,0.0006884243],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004439971,0.00022503534,0.80583507,0.000014199658,0.0021128543,0.000260366,0.0027903162,0.00031494725,0.00013443058,0.18091857,0.0012917615,0.005658425],"study_design_scores_gemma":[0.0018754055,0.00012919983,0.7719699,0.00005631686,0.00028414014,0.0000022163806,0.0011140062,0.010648827,0.000053320422,0.039891724,0.17298932,0.0009855889],"about_ca_topic_score_codex":0.012067003,"about_ca_topic_score_gemma":0.003861534,"teacher_disagreement_score":0.46385533,"about_ca_system_score_codex":0.00066668313,"about_ca_system_score_gemma":0.00016547578,"threshold_uncertainty_score":0.99988794},"labels":[],"label_agreement":null},{"id":"W7165975953","doi":"","title":"Mortgage Housing Finance System And Financially Applicability Of The Model İn Turkey","year":2009,"lang":"tr","type":"dissertation","venue":"Sakarya Üniversitesi Kurumsal Açık Akademik Arşivi","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Paid work; Quarter (Canadian coin); Apartment","score_opus":0.012493220961588733,"score_gpt":0.190213224952597,"score_spread":0.17772000399100826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7165975953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9210738,0.0021464922,0.00050585915,0.00031740702,0.0010582132,0.0012887797,0.0008938154,0.00011462717,0.07260104],"genre_scores_gemma":[0.992306,0.0027102735,0.0017730256,0.00013909936,0.00025228955,0.000019475845,0.00017220243,0.00013574249,0.0024919237],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9945085,0.00009527746,0.0021370184,0.00190173,0.00021188079,0.0011455914],"domain_scores_gemma":[0.99517226,0.00021268362,0.002909458,0.001277384,0.0001906376,0.00023760434],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0014777815,0.0010658401,0.002258725,0.000516729,0.00096286373,0.00017976994,0.0013950742,0.0013822253,0.000041048334],"category_scores_gemma":[0.00016617464,0.0012077627,0.00086769875,0.000802114,0.00043525008,0.00068439776,0.00045679847,0.0013848719,0.00009816082],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029142092,0.001719925,0.54286724,0.011801263,0.0013152556,0.00008884922,0.01700757,0.07347983,0.0009091254,0.29352683,0.0061374516,0.048232462],"study_design_scores_gemma":[0.004458388,0.00049542874,0.3518486,0.0032402498,0.0009555902,0.00003571735,0.0040350724,0.591885,0.0011137374,0.027241148,0.009649184,0.005041916],"about_ca_topic_score_codex":0.0006409651,"about_ca_topic_score_gemma":0.00035873926,"teacher_disagreement_score":0.51840514,"about_ca_system_score_codex":0.0009111985,"about_ca_system_score_gemma":0.00042816464,"threshold_uncertainty_score":0.99991417},"labels":[],"label_agreement":null},{"id":"W7206737","doi":"10.1080/19186444.2010.11658232","title":"Regulation by Incentives, Regulation of the Incentives in Urban Policies","year":2010,"lang":"en","type":"article","venue":"Transnational Corporation Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Incentive; Public economics; Allocative efficiency; Economics; Microeconomics","score_opus":0.02165006979867216,"score_gpt":0.2236234523077687,"score_spread":0.20197338250909655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7206737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8776128,0.007483517,0.0050166715,0.029920967,0.0015160942,0.0023298045,0.00041878334,0.00006452841,0.07563682],"genre_scores_gemma":[0.99716866,0.0017923624,0.0003241911,0.00021408564,0.000033559834,0.000020388952,0.00016910007,0.0000106314155,0.00026699097],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99884874,0.000039157603,0.00075422076,0.00019579423,0.00006102983,0.000101072364],"domain_scores_gemma":[0.9990675,0.00004408839,0.00059711875,0.00020001933,0.000068131674,0.000023139792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077464373,0.00009938789,0.0002561307,0.00010715409,0.000067378765,0.000024633997,0.00016009247,0.00007149471,0.00040233374],"category_scores_gemma":[0.000074789525,0.000097543874,0.00009083873,0.00037711806,0.000091983195,0.00039796767,0.000012831809,0.00013076485,0.000014204724],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007548488,0.00005609597,0.047510386,0.00016864788,0.000007161278,1.8948215e-8,0.00011787976,0.00003924414,0.0016110981,0.9477669,0.001393151,0.0013218938],"study_design_scores_gemma":[0.0005003351,0.000016047126,0.75557965,0.00017255674,0.000011620235,0.0000011711016,0.00000812631,0.0024080472,0.0007342258,0.09570865,0.14461857,0.00024097523],"about_ca_topic_score_codex":0.000033889297,"about_ca_topic_score_gemma":0.0001755797,"teacher_disagreement_score":0.85205823,"about_ca_system_score_codex":0.000057425823,"about_ca_system_score_gemma":0.000038485305,"threshold_uncertainty_score":0.44052723},"labels":[],"label_agreement":null},{"id":"W74341923","doi":"10.1108/s1049-258520140000022000","title":"Cross-National Differences in Wealth Portfolios at the Intensive Margin: Is there a Role for Policy?","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministère de l'Education Nationale, de l'Enseignement Superieur et de la Recherche","keywords":"Margin (machine learning); Portfolio; Asset (computer security); Debt; National wealth; Asset allocation; Economics; Cohort; Investment (military); Sample (material); Demographic economics; Monetary economics; Business; Finance","score_opus":0.04128430850116143,"score_gpt":0.24977553730854676,"score_spread":0.20849122880738533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W74341923","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0045744996,0.00067352667,0.00016267721,0.0045865695,0.0003622668,0.00052454707,0.0008020054,0.000025506315,0.9882884],"genre_scores_gemma":[0.21406369,0.0014930539,0.00006653226,0.004282329,0.0005878882,0.000058361176,0.00009935189,0.000082543054,0.77926624],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980925,0.0000055505316,0.00086335023,0.0006010328,0.000049163213,0.00038845785],"domain_scores_gemma":[0.99849516,0.0002176129,0.0006938838,0.00037470297,0.0001397392,0.00007891789],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006644065,0.0003432908,0.00074285443,0.00038728502,0.00017132945,0.00016101773,0.00039747686,0.0003812774,0.0039516925],"category_scores_gemma":[0.00013347993,0.00029839305,0.00029902055,0.000039109407,0.00018874224,0.00007978762,0.00016864654,0.00024916627,0.0010261012],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050833234,0.000008617749,0.019481307,0.000037185953,0.000076801334,5.838546e-7,0.00019274515,0.000009257092,8.81526e-8,0.9670205,0.010650995,0.002471048],"study_design_scores_gemma":[0.0003916083,0.00003784085,0.0058569773,0.000028515253,0.0000042350825,0.0000033774784,0.00002361651,0.0014926335,0.0000013723987,0.4408067,0.55102044,0.0003326705],"about_ca_topic_score_codex":0.00066559116,"about_ca_topic_score_gemma":0.0013312263,"teacher_disagreement_score":0.54036945,"about_ca_system_score_codex":0.0005716389,"about_ca_system_score_gemma":0.00014539363,"threshold_uncertainty_score":0.99994683},"labels":[],"label_agreement":null},{"id":"W766758592","doi":"10.61190/fsr.v24i1.3264","title":"Home ownership decision in personal finance: some empirical evidence","year":2015,"lang":"en","type":"article","venue":"Financial Services Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Portfolio; Business; Real estate; Finance; Consumption (sociology); Empirical evidence; Empirical research; Investment (military); Economics; Actuarial science","score_opus":0.1326889736999829,"score_gpt":0.30200506935985805,"score_spread":0.16931609565987515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W766758592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58297545,0.3988585,0.00020250537,0.0036801323,0.0016438386,0.00064958807,0.00005591397,0.00007243719,0.011861638],"genre_scores_gemma":[0.60645205,0.38070893,0.001807493,0.009708052,0.0007903213,0.00010640969,0.000034651115,0.00006370332,0.00032836964],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976218,0.00004610611,0.0010778425,0.0006501017,0.000088572786,0.00051562354],"domain_scores_gemma":[0.9988178,0.00012889502,0.00041660565,0.00041035766,0.000053145894,0.00017317818],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020615163,0.00027204168,0.0009519587,0.00019428066,0.00007352714,0.000078592064,0.00056608894,0.0001959361,0.0002874454],"category_scores_gemma":[0.00042347627,0.00028756217,0.00019989844,0.0005289486,0.00004493653,0.000920431,0.00016772971,0.00028945287,0.0034938955],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004101817,0.00048053503,0.6978087,0.008316579,0.000027792606,0.00013223347,0.003469766,0.00013738712,0.0000014459149,0.030565247,0.031164352,0.22748582],"study_design_scores_gemma":[0.0010047795,0.00016097396,0.12035472,0.007674719,0.000017101926,0.000016839376,0.00003523923,0.0027562208,0.0000014005604,0.06590071,0.8011714,0.0009058868],"about_ca_topic_score_codex":0.000281039,"about_ca_topic_score_gemma":0.00033620503,"teacher_disagreement_score":0.7700071,"about_ca_system_score_codex":0.00033821663,"about_ca_system_score_gemma":0.00015506674,"threshold_uncertainty_score":0.9999577},"labels":[],"label_agreement":null},{"id":"W767105756","doi":"10.1016/j.jeca.2011.02.008","title":"The Role of House Flippers in a Boom and Bust Real Estate Market","year":2011,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bust; Real estate; Boom; Economics; Metropolitan area; House price; Multivariate adaptive regression splines; Hedonic regression; Econometrics; Finance; Geography; Nonparametric regression; Engineering","score_opus":0.020231210623488326,"score_gpt":0.19207252629932683,"score_spread":0.17184131567583852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W767105756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8140166,0.0013064912,0.000016666094,0.00019372314,0.00031801057,0.00008627408,0.00001683561,0.000006040765,0.18403935],"genre_scores_gemma":[0.96178323,0.03770794,0.00021465891,0.000023348368,0.000078735786,0.0000014807243,1.993706e-7,0.000029684386,0.00016073357],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983834,0.00005459906,0.0011421329,0.00012936685,0.00002111241,0.00026939463],"domain_scores_gemma":[0.99796987,0.00046977645,0.0011871444,0.00027954855,0.000023013503,0.000070652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003377983,0.00014453426,0.00048535466,0.00031489762,0.00012579866,0.000058891426,0.0004429931,0.00006970936,0.00009192563],"category_scores_gemma":[0.00015313218,0.000108994005,0.00011026478,0.00011279175,0.00031315797,0.00033758354,0.0000939639,0.00022316488,0.00002780785],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023686737,0.00014797122,0.79920924,0.000039163435,0.0004921344,0.000008694849,0.01690041,0.0002771176,0.000022429773,0.071820155,0.0022392462,0.10647479],"study_design_scores_gemma":[0.005114007,0.0012388665,0.511045,0.00012873147,0.00014846912,0.00027848393,0.03199526,0.010235716,0.0018205614,0.2858973,0.15083355,0.0012640342],"about_ca_topic_score_codex":0.001499639,"about_ca_topic_score_gemma":0.0008115587,"teacher_disagreement_score":0.28816423,"about_ca_system_score_codex":0.00012908902,"about_ca_system_score_gemma":0.00006150749,"threshold_uncertainty_score":0.44446465},"labels":[],"label_agreement":null},{"id":"W7685243","doi":"","title":"I YOUR COMMITTEE RECOMMENDS","year":2005,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Notice; Subject (documents); Property (philosophy); Real property; Business; Political science; Law; Value (mathematics); Public administration; Library science; Computer science","score_opus":0.052110100503374834,"score_gpt":0.23097025203841817,"score_spread":0.17886015153504334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7685243","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0660324,0.0001313616,0.0015675086,0.0063631036,0.0003501069,0.000049370727,0.00001278617,0.00009265453,0.9254007],"genre_scores_gemma":[0.97571415,0.00022608228,0.006667299,0.0022137358,0.00037364897,0.0000064903834,0.000008760836,0.00002557198,0.014764277],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991069,0.000004650884,0.00040102645,0.00022883972,0.00000889712,0.00024971718],"domain_scores_gemma":[0.999505,0.000023473094,0.00011108613,0.0002790648,0.000007342166,0.000074041],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00038451585,0.000101184174,0.00022395984,0.00011746058,0.00008070561,0.00007087355,0.00018301544,0.000070010276,0.00646064],"category_scores_gemma":[0.000023972185,0.00012216209,0.0000835399,0.000081902785,0.000021111786,0.00023542641,0.000049530776,0.00009787767,0.008002865],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018363402,0.00018416779,0.11638526,0.000010685023,0.000054382406,0.0000016028981,0.0004861318,0.00015365158,0.0000068278387,0.54856545,0.17813888,0.15599461],"study_design_scores_gemma":[0.0003097071,0.000016343658,0.0033419551,0.0000015895573,0.0000012574461,0.0000028919837,0.000035628236,0.005061208,0.00003675895,0.014796234,0.9761906,0.00020577134],"about_ca_topic_score_codex":0.00007709066,"about_ca_topic_score_gemma":0.0000766978,"teacher_disagreement_score":0.9106364,"about_ca_system_score_codex":0.00009031768,"about_ca_system_score_gemma":0.00000556266,"threshold_uncertainty_score":0.9944476},"labels":[],"label_agreement":null},{"id":"W77270148","doi":"10.3386/w22763","title":"Fiscal Risk and the Portfolio of Government Programs","year":2016,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"Harvard Business School","keywords":"Portfolio; Government (linguistics); Business; Economics; Finance","score_opus":0.2395552157248553,"score_gpt":0.4133433405756482,"score_spread":0.1737881248507929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W77270148","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009396835,0.0017047965,0.000023896624,0.00072385103,0.00059326185,0.00068808295,0.0008643893,0.000007970848,0.9859969],"genre_scores_gemma":[0.95956093,0.026363555,0.00014129013,0.000011272306,0.00077687204,0.00012416371,0.00008379928,0.00006182442,0.012876277],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99682564,0.000105725114,0.0016338391,0.0006042481,0.00041328836,0.00041724372],"domain_scores_gemma":[0.99630135,0.0011721845,0.0016487298,0.0004874256,0.00029072867,0.0000995665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0149934525,0.00023345325,0.001028882,0.0003679557,0.00013731362,0.000077442244,0.0005711398,0.00036851058,0.0007071832],"category_scores_gemma":[0.0015940954,0.00018782027,0.00032058184,0.00011006541,0.0010553347,0.00014936987,0.00033472988,0.0005363692,0.00014375265],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027901455,0.00010428246,0.055167183,0.0001888295,0.000445744,9.720477e-7,0.00009601893,0.000022594126,0.000001183383,0.8944325,0.026548754,0.022712935],"study_design_scores_gemma":[0.0017704646,0.00011252573,0.003692864,0.00011202392,0.000019523606,0.000011887975,0.00004711614,0.0006515647,0.000020844427,0.83526194,0.15801893,0.0002803192],"about_ca_topic_score_codex":0.002601528,"about_ca_topic_score_gemma":0.00022646142,"teacher_disagreement_score":0.9731206,"about_ca_system_score_codex":0.0014003913,"about_ca_system_score_gemma":0.0005656011,"threshold_uncertainty_score":0.774316},"labels":[],"label_agreement":null},{"id":"W79114421","doi":"10.2139/ssrn.2139830","title":"How Renters Drive House Price Recovery","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"House price; Business; Economics; Monetary economics","score_opus":0.014090641190814056,"score_gpt":0.18835568270793573,"score_spread":0.1742650415171217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W79114421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8724468,0.012312284,0.03757262,0.0034650622,0.0035745355,0.00021949105,0.000016898206,0.00015383787,0.07023846],"genre_scores_gemma":[0.9756023,0.01866297,0.00027104214,0.00019067735,0.00094676384,0.0000044119815,0.0000027747703,0.00006913634,0.004249879],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966442,0.000024740444,0.0004095266,0.00022580473,0.000034618923,0.002661101],"domain_scores_gemma":[0.99907076,0.000037641224,0.00045795497,0.00024035978,0.000020545975,0.0001727607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022994166,0.00018228639,0.00032264722,0.00023859052,0.00020034479,0.00022677101,0.00029051196,0.00011326724,0.00007816095],"category_scores_gemma":[0.00012110856,0.00020746923,0.00021068827,0.00014054246,0.000036234003,0.0010826613,0.00004786724,0.001070521,0.00052785757],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014492132,0.00027743363,0.16126306,0.000017643952,0.00056497037,0.000003069332,0.00083006837,0.00005888407,0.000043866934,0.7912953,0.0033882232,0.04211255],"study_design_scores_gemma":[0.0017761791,0.00044338437,0.0070041665,0.000025850484,0.000037188427,0.0006085739,0.002007385,0.00028033004,0.000076377524,0.62597436,0.36069715,0.0010690332],"about_ca_topic_score_codex":0.00003477972,"about_ca_topic_score_gemma":0.00008904995,"teacher_disagreement_score":0.35730892,"about_ca_system_score_codex":0.0015268673,"about_ca_system_score_gemma":0.00021195278,"threshold_uncertainty_score":0.84603494},"labels":[],"label_agreement":null},{"id":"W804579161","doi":"10.22495/cocv9i3c4art7","title":"Determinants of the upswing phase in the South African real estate growth cycle","year":2012,"lang":"en","type":"article","venue":"Corporate Ownership and Control","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Investment (military); Quarter (Canadian coin); Index (typography); Economics; Consumption (sociology); Liberian dollar; Phase (matter); Business; Econometrics; Monetary economics; Finance; Geography","score_opus":0.04799749155915246,"score_gpt":0.22375727395170392,"score_spread":0.17575978239255147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W804579161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.974077,0.00011683486,0.000059862392,0.00025377327,0.0002338997,0.00019647075,0.00004469821,0.000008504051,0.025008986],"genre_scores_gemma":[0.9993993,0.00020105387,0.000017157177,0.00020485249,0.000094082825,0.000016523913,0.0000016022303,0.000015060693,0.00005035487],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989545,0.000065354405,0.00043785755,0.00017807243,0.000026936255,0.00033732294],"domain_scores_gemma":[0.9989958,0.00010017347,0.0005661619,0.00025996423,0.000013737179,0.00006416302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013137782,0.00012840921,0.00032147867,0.00006831424,0.00010152891,0.000052926804,0.00024709888,0.000061711864,0.000015819845],"category_scores_gemma":[0.00007760636,0.00008673059,0.0000777786,0.00017800223,0.0001192485,0.00019300291,0.000032143766,0.00013003056,0.000018113406],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000085000254,0.00008297578,0.9819605,0.000018497167,0.000011396127,0.0000017703081,0.004846871,0.000008529343,0.000021984297,0.0058718557,0.000018154127,0.0070724864],"study_design_scores_gemma":[0.008190594,0.00019596313,0.9360768,0.000049824903,0.000069275666,0.000016934204,0.0049211383,0.015419574,0.00023576115,0.031399254,0.0027031775,0.00072168873],"about_ca_topic_score_codex":0.0002803598,"about_ca_topic_score_gemma":0.00010962409,"teacher_disagreement_score":0.045883667,"about_ca_system_score_codex":0.00002750786,"about_ca_system_score_gemma":0.000018353358,"threshold_uncertainty_score":0.3536771},"labels":[],"label_agreement":null},{"id":"W81098292","doi":"10.1016/b978-0-08-047163-1.00471-9","title":"Private Sector Housing Management","year":2012,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Property management; Renting; Business; Principal (computer security); Property (philosophy); Context (archaeology); Rental housing; Finance; Computer security; Political science; Law; Real estate; Computer science; Geography","score_opus":0.029563442132880875,"score_gpt":0.20138304255216496,"score_spread":0.1718196004192841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W81098292","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00027837488,0.0026614708,0.000047649468,0.000042989912,0.0015170368,0.00047273916,0.000082907674,0.0001222111,0.99477464],"genre_scores_gemma":[0.0052971616,0.0019122518,0.0014573748,0.00041637474,0.0009163161,0.000026463562,0.00003730868,0.0002565547,0.9896802],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977611,0.000006262959,0.0009351385,0.0006632267,0.00004902197,0.00058526173],"domain_scores_gemma":[0.99825305,0.000023238505,0.00070665847,0.0008189189,0.000015848462,0.00018228007],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005478517,0.00051081285,0.0008724732,0.00039201602,0.00015396156,0.00014004912,0.00039288058,0.00039149495,0.0023462425],"category_scores_gemma":[0.000004208074,0.000651512,0.00035982492,0.0000151272025,0.00009214948,0.00011370611,0.00027256558,0.00039423563,0.006249019],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000942641,0.000009675144,0.0001953374,0.00014180805,0.00022013459,0.00001270474,0.00009759349,0.0000016003781,3.458555e-7,0.24603742,0.00020651618,0.75306743],"study_design_scores_gemma":[0.00024574486,0.000014781254,0.000089001864,0.00012414555,0.00005687903,0.0000042751794,0.0000024378428,0.000019013814,0.0000028906022,0.08492269,0.9138329,0.00068526197],"about_ca_topic_score_codex":0.0000011207308,"about_ca_topic_score_gemma":0.000010392052,"teacher_disagreement_score":0.9136264,"about_ca_system_score_codex":0.000341641,"about_ca_system_score_gemma":0.000014922676,"threshold_uncertainty_score":0.9995936},"labels":[],"label_agreement":null},{"id":"W853686481","doi":"","title":"Land Rush in Las Vegas","year":2006,"lang":"en","type":"article","venue":"Cornell Peter and Stephanie Nolan School of Hotel Administration (Cornell University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Las vegas; Quarter (Canadian coin); Metropolitan area; Residence; Population; Real estate; Geography; Advertising; Business; Archaeology; Demography; Sociology; Finance","score_opus":0.02721354480940668,"score_gpt":0.17351111354833468,"score_spread":0.146297568738928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W853686481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88522464,0.00011091975,0.0011713444,0.0000021445105,0.00013310075,0.00012270166,0.000046559282,0.000025555912,0.11316305],"genre_scores_gemma":[0.99835765,0.00016978335,0.00014602856,0.000036963604,0.00007837731,6.497342e-7,0.000034189696,0.000017284188,0.0011590478],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987747,0.000024189836,0.00048485395,0.00044276388,0.000022950822,0.00025053715],"domain_scores_gemma":[0.99926966,0.00005152783,0.00027904243,0.00025371695,0.000030104884,0.00011593976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024629687,0.00017933491,0.00036975034,0.00033675844,0.00004441227,0.00007689555,0.00018202055,0.00013983126,0.0002593214],"category_scores_gemma":[0.000027097507,0.00023714015,0.00008781057,0.00023908389,0.00007846493,0.00036050464,0.000047860227,0.00015521943,0.00015011252],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015919823,0.0001042935,0.9982856,0.000033557044,0.000013123218,0.00006260537,0.000033954577,0.0002930988,0.000037152182,0.0008066601,0.00015146182,0.00001929268],"study_design_scores_gemma":[0.0013464065,0.00015672833,0.9813057,0.000017371041,0.000011468245,0.0000121260655,0.00005899645,0.00028977843,0.00012693398,0.015946256,0.00044623984,0.00028199487],"about_ca_topic_score_codex":0.00029367514,"about_ca_topic_score_gemma":0.0012062647,"teacher_disagreement_score":0.11313305,"about_ca_system_score_codex":0.00008935794,"about_ca_system_score_gemma":0.000048546346,"threshold_uncertainty_score":0.9670295},"labels":[],"label_agreement":null},{"id":"W85968271","doi":"10.61190/fsr.v12i2.4761","title":"Impact of Housing Choice on Future Household Wealth","year":2003,"lang":"en","type":"article","venue":"Financial Services Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Demographic economics; Economics; Business","score_opus":0.029350684435704023,"score_gpt":0.25569198298420276,"score_spread":0.22634129854849874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W85968271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74839455,0.09755597,0.00007423928,0.0003166609,0.0014033226,0.00071023224,0.00028710047,0.00008510387,0.15117283],"genre_scores_gemma":[0.78556406,0.21087961,0.00046363645,0.0022889988,0.0005950899,0.000020732887,0.00003092843,0.000074390475,0.00008257355],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982966,0.00003680924,0.00085318205,0.00039423193,0.000039126262,0.00038002987],"domain_scores_gemma":[0.9985651,0.000041794898,0.00074716203,0.00050531497,0.000030105248,0.00011052446],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00067968474,0.00024953164,0.0008961053,0.00012785896,0.00010529468,0.000032693108,0.00029181736,0.00014010044,0.00044600977],"category_scores_gemma":[0.00009167771,0.00025447228,0.00037321344,0.0004154272,0.00002208024,0.00020503448,0.00003099182,0.00019394205,0.00029567408],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009777619,0.00093239127,0.68221235,0.020633645,0.00020541565,0.000013839805,0.0005302233,0.0005986899,0.000011902039,0.17371394,0.011594799,0.10945501],"study_design_scores_gemma":[0.0005286098,0.00024071528,0.17031787,0.0019016392,0.000026354017,0.0000042666734,0.0000061041947,0.00006078457,0.000009447704,0.0030754104,0.8233023,0.0005264647],"about_ca_topic_score_codex":0.0005411771,"about_ca_topic_score_gemma":0.00016428623,"teacher_disagreement_score":0.81170756,"about_ca_system_score_codex":0.00016887047,"about_ca_system_score_gemma":0.000083705,"threshold_uncertainty_score":0.99999076},"labels":[],"label_agreement":null},{"id":"W924162019","doi":"","title":"DETERMINANTS OF RETURNS TO HOMEOWNERSHIP: COUNTY LEVEL ANALYSIS FROM 1999 TO 2009","year":2014,"lang":"en","type":"article","venue":"Journal of economics and economic education research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Crash; Quarter (Canadian coin); Demographic economics; Economics; Population; Socioeconomic status; Index (typography); Geography; Demography; Sociology","score_opus":0.1009385869385611,"score_gpt":0.3334818655576828,"score_spread":0.23254327861912166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W924162019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98802274,0.0002984885,0.00020560827,0.0016131406,0.0009899182,0.00018900436,0.00031862728,0.000003496768,0.008358942],"genre_scores_gemma":[0.9940755,0.0015697448,0.002852963,0.0003329259,0.0006267115,0.000011200996,0.0000127033445,0.0000334336,0.00048482316],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971655,0.000069649286,0.0017915443,0.0004914329,0.000038311155,0.0004435749],"domain_scores_gemma":[0.9973411,0.0004079357,0.0009945281,0.00053791056,0.0001806417,0.0005379074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00480954,0.00019768505,0.0010669292,0.0021304598,0.00013417624,0.0002418745,0.00059092516,0.00015313448,0.0003716292],"category_scores_gemma":[0.00038760863,0.00023257949,0.0002497713,0.00034023178,0.00009011892,0.00039532516,0.0001512294,0.00027348485,0.0002548582],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045586508,0.00041041666,0.87811595,0.00006850357,0.0008393671,0.0000011184152,0.0034524482,0.0114173135,0.00005543571,0.048494827,0.015662692,0.041026074],"study_design_scores_gemma":[0.0019001652,0.0011138301,0.5206031,0.00014145618,0.00019518132,0.000022164315,0.0037915553,0.03658678,0.0007222048,0.10936822,0.3242069,0.0013484451],"about_ca_topic_score_codex":0.0027025219,"about_ca_topic_score_gemma":0.0030232044,"teacher_disagreement_score":0.35751283,"about_ca_system_score_codex":0.00052254816,"about_ca_system_score_gemma":0.00036884338,"threshold_uncertainty_score":0.9484316},"labels":[],"label_agreement":null},{"id":"W92421769","doi":"","title":"Should real estate prices be falling more in the eighth district","year":2010,"lang":"en","type":"article","venue":"The Regional Economist","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bust; Real estate; Boom; Unemployment; Economics; Falling (accident); Quarter (Canadian coin); Labour economics; Real wages; Recession; Demographic economics; Monetary economics; Macroeconomics; Finance; Geography","score_opus":0.06869664544463859,"score_gpt":0.25188016434976285,"score_spread":0.18318351890512424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W92421769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7559142,0.000058343783,0.000027190683,0.015281877,0.0003670794,0.00019074313,0.00004759808,0.000027539481,0.2280854],"genre_scores_gemma":[0.99448705,0.0027898473,0.00021490904,0.0014631007,0.00046606173,0.000045861667,0.000042948537,0.000035195404,0.0004550152],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984756,0.000020627805,0.0006416329,0.00042144296,0.00003458853,0.00040612574],"domain_scores_gemma":[0.9985632,0.0003535586,0.00036968684,0.00062836224,0.000012617729,0.00007258823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001453276,0.00021667765,0.0003491571,0.00011978523,0.0002901851,0.00024518662,0.0008726494,0.00012765109,0.00021031206],"category_scores_gemma":[0.00005131106,0.00016547795,0.00016531922,0.00015705246,0.00026770972,0.0002635578,0.000074870586,0.0005222258,0.00022521325],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021566378,0.0003642838,0.117694736,0.00006800009,0.00016029109,0.000031016945,0.009275769,0.0024265237,0.000027133377,0.8265864,0.01019788,0.032952257],"study_design_scores_gemma":[0.0008168959,0.000037355152,0.11576517,0.000010121708,0.000013446221,0.000050222527,0.00096373406,0.012962572,0.000009773004,0.030127184,0.83865297,0.00059058465],"about_ca_topic_score_codex":0.0024704556,"about_ca_topic_score_gemma":0.0025978663,"teacher_disagreement_score":0.82845503,"about_ca_system_score_codex":0.000100584744,"about_ca_system_score_gemma":0.000050576673,"threshold_uncertainty_score":0.6747995},"labels":[],"label_agreement":null},{"id":"W92582698","doi":"","title":"RE-EXAMINATION OF DIVERSIFICATION BENEFITS FROM FOREIGN REAL ESTATE INVESTMENT: A CANADIAN PERSPECTIVE","year":2007,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Diversification (marketing strategy); Capitalization rate; Real estate investment trust; Business; Portfolio; Volatility (finance); Foreign direct investment; Financial economics; Foreign portfolio investment; Finance; Monetary economics; Economics; Return on investment; Open-ended investment company; Microeconomics; Macroeconomics; Marketing","score_opus":0.022208149114276182,"score_gpt":0.2057886838620601,"score_spread":0.1835805347477839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W92582698","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.476604,0.00006805025,0.000018050152,0.000020209563,0.00027536514,0.00018845529,0.0008025449,0.000023128097,0.5220002],"genre_scores_gemma":[0.9883617,0.0037056145,0.00021902351,0.000038398255,0.000081301405,0.0000013053206,0.003883886,0.000051836512,0.0036569422],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99840903,0.00003076573,0.0004651063,0.0006661361,0.00006387108,0.0003650942],"domain_scores_gemma":[0.99840236,0.00006904821,0.00068435556,0.0004071533,0.00019841798,0.00023869736],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032728823,0.00029416237,0.00050897273,0.0018569956,0.00020795088,0.000048673795,0.00042453242,0.0005037638,0.0003890182],"category_scores_gemma":[0.000060751026,0.0004610312,0.00018751726,0.00058301224,0.00006349145,0.00042838472,0.000031027783,0.00026349598,0.00015814608],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000595449,0.00026927624,0.54153085,0.00016407408,0.0007735431,0.00010116632,0.005694462,0.0005477249,0.0000025121496,0.42509368,0.003001168,0.022226099],"study_design_scores_gemma":[0.0032359255,0.00028973122,0.36222392,0.0002840576,0.00039334668,6.550392e-9,0.5019666,0.002496555,0.0006337497,0.021752734,0.10439716,0.0023262217],"about_ca_topic_score_codex":0.4699813,"about_ca_topic_score_gemma":0.97069436,"teacher_disagreement_score":0.51834327,"about_ca_system_score_codex":0.0019369018,"about_ca_system_score_gemma":0.00020620615,"threshold_uncertainty_score":0.9997841},"labels":[],"label_agreement":null},{"id":"W94062179","doi":"10.5038/2375-0901.5.1.1","title":"Benefits of Proximity to Rail on Housing Markets: Experiences in Santa Clara County","year":2002,"lang":"en","type":"article","venue":"Journal of Public Transportation","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":130,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Revenue; Economic shortage; Transport engineering; Business; Quarter (Canadian coin); Rail transit; Light rail transit; Mile; Value (mathematics); Land value; Agricultural economics; Light rail; Transit (satellite); Finance; Public transport; Geography; Economics; Engineering; Computer science; Government (linguistics)","score_opus":0.05965185269424612,"score_gpt":0.22196189258620322,"score_spread":0.1623100398919571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W94062179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943067,0.0003535947,0.00074245187,0.00054536056,0.00036516105,0.000099131255,0.000029837705,0.0000059566555,0.0035518361],"genre_scores_gemma":[0.9985858,0.00053448277,0.00064818433,0.00011735755,0.00007457789,0.000004543433,0.0000036067997,0.000012908417,0.000018500223],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99850434,0.0000178338,0.0010597298,0.0001583169,0.0000685523,0.00019119805],"domain_scores_gemma":[0.9989479,0.00004770241,0.0007307002,0.00011492477,0.000068625646,0.00009012971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011131987,0.000102012695,0.0003626881,0.00052973686,0.000037799662,0.000052502182,0.00017301933,0.000081502134,0.00027517686],"category_scores_gemma":[0.00009588235,0.00011206809,0.0000990086,0.00031630037,0.000028402987,0.0007440036,0.0000024101853,0.00014376176,0.000009995886],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029869773,0.00083610736,0.89828515,0.00010520265,0.00006958456,0.000011602623,0.023173917,0.0058216034,0.00004008603,0.014427849,0.0016140646,0.055316117],"study_design_scores_gemma":[0.0012064521,0.00026407093,0.9872316,0.000112695394,0.0000073132155,0.0000037108834,0.001707125,0.0012321441,0.0001520693,0.0011914154,0.0066397698,0.0002516112],"about_ca_topic_score_codex":0.000045607307,"about_ca_topic_score_gemma":0.00020087308,"teacher_disagreement_score":0.088946454,"about_ca_system_score_codex":0.00011774958,"about_ca_system_score_gemma":0.00002181122,"threshold_uncertainty_score":0.4570004},"labels":[],"label_agreement":null},{"id":"W99031058","doi":"10.26509/frbc-ec-201309","title":"Keeping the House or Moving for a Job","year":2013,"lang":"en","type":"article","venue":"Economic Commentary (Federal Reserve Bank of Cleveland)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Crash; Job loss; Business; Labour economics; Economics; Computer science; Unemployment; Economic growth","score_opus":0.05005117265484762,"score_gpt":0.2483068762402428,"score_spread":0.19825570358539518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W99031058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95855075,0.00027888478,0.0011016896,0.017161295,0.0008897624,0.0011064128,0.00022756612,0.00007260359,0.02061106],"genre_scores_gemma":[0.99221104,0.00030021867,0.0018446702,0.0039147427,0.00044775568,0.00020753218,0.000028140077,0.00009362803,0.000952297],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976698,0.000036683898,0.0012291544,0.000475414,0.000028478778,0.0005604359],"domain_scores_gemma":[0.9979658,0.0006675856,0.00058373564,0.00062831125,0.000029345967,0.00012523723],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010067743,0.00027182678,0.0006852808,0.0001609774,0.0003827152,0.00026852128,0.0007132197,0.00011448016,0.0022635988],"category_scores_gemma":[0.0001336146,0.00024268572,0.00030257896,0.000064702006,0.00010932563,0.000653056,0.00025718662,0.00019052795,0.00043253452],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008987292,0.00024841982,0.46289018,0.0002979197,0.0008447174,0.0000039960587,0.0016710236,0.0012327416,0.000042024043,0.038765766,0.46770215,0.025402334],"study_design_scores_gemma":[0.010457544,0.001021291,0.23196542,0.00021397055,0.0000621799,0.000032379183,0.0016838835,0.10583046,0.0005248394,0.1905626,0.45535183,0.0022935853],"about_ca_topic_score_codex":0.006769956,"about_ca_topic_score_gemma":0.0021819563,"teacher_disagreement_score":0.23092476,"about_ca_system_score_codex":0.00030113079,"about_ca_system_score_gemma":0.000051114042,"threshold_uncertainty_score":0.9998441},"labels":[],"label_agreement":null}]}