{"meta":{"query_hash":"c93cf8d0edc0","filters":{"venue":"Journal of Real Estate Research"},"cohort_total":10,"direct_labels_cover":0,"predictions_cover":10,"exported":10,"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/c93cf8d0edc0","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Real+Estate+Research"},"results":[{"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99859625,0.00008097837,0.0000626071,0.00006494742,0.0000014833288,0.0000061225114,0.00014384555,0.0000017044606,0.0010420814],"genre_scores_gemma":[0.9991972,0.00006108597,0.00005464709,0.000014051074,0.000005299071,0.000004912908,0.00022246812,0.0000011975061,0.00043929086],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99891675,0.00047599184,0.000041877593,0.000091409165,0.00028078325,0.00019322295],"domain_scores_gemma":[0.9854799,0.0083982255,0.0035790594,0.00056652114,0.0008267696,0.0011494247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012618306,0.00022080986,0.00034762573,0.0010274177,0.0007118261,0.0010850142,0.0006812776,0.0004379673,0.006397653],"category_scores_gemma":[0.008025991,0.00023288457,0.00046912895,0.0018138643,0.0011718136,0.00097158493,0.000672331,0.0008562473,0.0005315583],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007031512,0.00017167896,0.9944606,0.000012789897,0.000058483056,0.00015387674,0.0005454174,0.00018752435,0.00004613191,0.00034372765,0.00027188033,0.0036776375],"study_design_scores_gemma":[0.0000032130617,0.00006773566,0.9977011,0.00000678742,0.000013742082,0.00005579126,0.0011812053,0.00048392452,0.00002052585,0.000110325316,0.00035205152,0.0000036662066],"about_ca_topic_score_codex":0.050724503,"about_ca_topic_score_gemma":0.0911923,"teacher_disagreement_score":0.050724503,"about_ca_system_score_codex":0.0013620472,"about_ca_system_score_gemma":0.00072713033,"threshold_uncertainty_score":0.10085851},"labels":[],"label_agreement":null},{"id":"W1508153821","doi":"10.1080/10835547.2005.12091158","title":"Spatial Versus Non-Spatial Determinants of Shopping Center Rents: Modeling Location and Neighborhood-Related Factors","year":2005,"lang":"en","type":"article","venue":"Journal of Real Estate Research","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","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":"Université Laval","funders":"","keywords":"Economic rent; Index (typography); Center (category theory); Space (punctuation); Business; Mobile phone; Phone; Geography; Spatial analysis; Economic geography; Economics; Microeconomics; Computer science","score_opus":0.09628236936071341,"score_gpt":0.36463917772148635,"score_spread":0.2683568083607729,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1508153821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886868,0.00010256956,0.008646598,0.00012819104,0.0000064432106,0.00002771842,0.00019057997,0.00001755997,0.002193493],"genre_scores_gemma":[0.99715096,0.000082794824,0.0016391204,0.0000073835404,0.0000045262873,0.000014115979,0.000063694584,0.000006264513,0.0010311853],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971884,0.000119086355,0.000007718963,0.00003962701,0.0000272354,0.00008732925],"domain_scores_gemma":[0.99914443,0.0004802082,0.00012654635,0.000045054076,0.000096670134,0.000107031134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006376985,0.00042069028,0.0005039731,0.00079469744,0.00041080374,0.0014927542,0.001004048,0.0006481718,0.002209179],"category_scores_gemma":[0.002258072,0.00041156608,0.0008221826,0.000885472,0.0006247236,0.0011263153,0.00074634684,0.00044199362,0.00024887326],"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":[0.00018624203,0.00030501437,0.32011008,0.000053951157,0.00019349676,0.00028714244,0.00023251155,0.65031374,0.0009241335,0.018773498,0.00054218597,0.008077992],"study_design_scores_gemma":[0.000015978296,0.00005795557,0.03698443,0.000009589406,0.000052615633,0.00004202929,0.0002613532,0.9600704,0.00012827496,0.0019544654,0.00040886085,0.000014131382],"about_ca_topic_score_codex":0.12822421,"about_ca_topic_score_gemma":0.17237438,"teacher_disagreement_score":0.12822421,"about_ca_system_score_codex":0.0017401569,"about_ca_system_score_gemma":0.0016132416,"threshold_uncertainty_score":0.2549557},"labels":[],"label_agreement":null},{"id":"W1580096973","doi":"10.1080/10835547.2009.12091241","title":"Retail Concentration and Shopping Center Rents-A Comparison of Two Cities","year":2009,"lang":"en","type":"article","venue":"Journal of Real Estate Research","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","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":"Economic rent; Lease; Index (typography); Unit (ring theory); Business; Center (category theory); Differential (mechanical device); Herfindahl index; Retail sales; Demographic economics; Economics; Marketing; Microeconomics; Finance; Mathematics","score_opus":0.15938647651060364,"score_gpt":0.41931434903646136,"score_spread":0.2599278725258577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1580096973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988494,0.000052629177,0.000032537297,0.000013141895,7.9794467e-7,0.0000048736247,0.00023020322,0.000002298649,0.0008139202],"genre_scores_gemma":[0.9992931,0.000032938602,0.000033552467,0.0000053634353,0.0000015259819,0.0000036116528,0.00041322224,0.0000020091968,0.00021461162],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994881,0.000088622546,0.000020869442,0.00010139174,0.00013663921,0.0001643724],"domain_scores_gemma":[0.9982845,0.00029230525,0.00049605,0.000100004516,0.00042342037,0.00040375878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035931953,0.00028389826,0.0004328142,0.0024732982,0.00074252306,0.0018073777,0.0005232834,0.00030329736,0.0021782368],"category_scores_gemma":[0.0020108484,0.00022528677,0.0004498256,0.003977061,0.0008436084,0.0006862934,0.0011194384,0.00033136044,0.00020280184],"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":[0.0002605206,0.000064052685,0.9946681,0.000016582733,0.00012634,0.000106015825,0.0006756083,0.00044302022,0.0005026065,0.00027369327,0.00019354932,0.0026700064],"study_design_scores_gemma":[0.0000042199513,0.00002417102,0.99880934,0.000003237342,0.00001320034,0.000016643738,0.0006954068,0.00021659026,0.00005949874,0.000012228419,0.00014048387,0.000005016035],"about_ca_topic_score_codex":0.60720056,"about_ca_topic_score_gemma":0.77253014,"teacher_disagreement_score":0.60720056,"about_ca_system_score_codex":0.0043543763,"about_ca_system_score_gemma":0.0020153173,"threshold_uncertainty_score":0.7902254},"labels":[],"label_agreement":null},{"id":"W3121269031","doi":"10.1080/10835547.2009.12091250","title":"Retail Concentration and Shopping Center Rents—A Comparison of Two Cities","year":2009,"lang":"en","type":"article","venue":"Journal of Real Estate Research","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","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":"Université Laval","funders":"","keywords":"Economic rent; Lease; Unit (ring theory); Index (typography); Business; Differential (mechanical device); Center (category theory); Herfindahl index; Retail sales; Demographic economics; Economics; Marketing; Microeconomics; Finance; Mathematics","score_opus":0.15404220965981053,"score_gpt":0.41669188848243227,"score_spread":0.26264967882262175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121269031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986952,0.000055038105,0.000038624636,0.000017663284,0.0000010022394,0.000005546118,0.00023101676,0.0000023801426,0.0009535737],"genre_scores_gemma":[0.9992835,0.000031873926,0.00003903905,0.0000061258775,0.0000018467359,0.0000038698226,0.0004142392,0.0000021361145,0.00021742277],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994999,0.00008976519,0.000020233521,0.00010294949,0.00013108538,0.00015608073],"domain_scores_gemma":[0.9983058,0.00025902546,0.00050421414,0.0000985757,0.00042549692,0.00040695048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037065736,0.000282386,0.0004235497,0.0023910757,0.0008332875,0.0019326849,0.0005609051,0.00032252996,0.0020475336],"category_scores_gemma":[0.0018947672,0.00023243006,0.00044204987,0.0039038998,0.0008919299,0.000718936,0.001263122,0.00035889997,0.00020047551],"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":[0.00029562777,0.000071699025,0.9940851,0.000017309483,0.00013395512,0.00010751285,0.00076579314,0.00048345156,0.00053186825,0.0003468589,0.00026321557,0.00289762],"study_design_scores_gemma":[0.000005153731,0.000025884689,0.9986193,0.0000036547829,0.000014237916,0.000018044491,0.0007758449,0.00025954185,0.00006757458,0.000014731739,0.00019039333,0.0000056323515],"about_ca_topic_score_codex":0.60507804,"about_ca_topic_score_gemma":0.759634,"teacher_disagreement_score":0.60507804,"about_ca_system_score_codex":0.0044621904,"about_ca_system_score_gemma":0.0021165684,"threshold_uncertainty_score":0.79449546},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99724436,0.000059916907,0.00033432897,0.00006358013,0.0000020920274,0.000004403586,0.000227173,0.000002018706,0.0020621233],"genre_scores_gemma":[0.9990614,0.000022143684,0.00006492892,0.000005580298,0.000002473424,0.0000021635585,0.0001613008,0.0000013090508,0.0006785677],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99970156,0.00009639391,0.000020156358,0.000060248407,0.00006316195,0.000058450085],"domain_scores_gemma":[0.99630487,0.001686427,0.001267206,0.00021560876,0.00016294571,0.00036292474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004248287,0.000093529015,0.00018370959,0.00034681655,0.00021831843,0.0009879665,0.00024213771,0.00032398736,0.0071686707],"category_scores_gemma":[0.0032720522,0.00012368578,0.0002936216,0.0007712039,0.00038806535,0.0009266139,0.0004032201,0.00038242262,0.00041235765],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000100734156,0.00009996082,0.9878919,0.000015157065,0.00012201754,0.00018460577,0.00036481893,0.0027080833,0.0004227591,0.0027072506,0.00030809015,0.0050746477],"study_design_scores_gemma":[0.0000030052393,0.000056493114,0.995083,0.000004507768,0.000013256121,0.00007708597,0.0008054742,0.0016785355,0.00010468255,0.0015317267,0.00063633727,0.0000059361587],"about_ca_topic_score_codex":0.0078959055,"about_ca_topic_score_gemma":0.016129535,"teacher_disagreement_score":0.0078959055,"about_ca_system_score_codex":0.0004432685,"about_ca_system_score_gemma":0.00019745876,"threshold_uncertainty_score":0.02398163},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99315417,0.0002306951,0.00024199915,0.0015752586,0.000023873958,0.000008779958,0.0001792052,0.0000044574595,0.0045814863],"genre_scores_gemma":[0.998609,0.000086325024,0.000046736546,0.00014218333,0.000027714077,0.0000044776266,0.00011856919,0.0000028716995,0.0009621316],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989146,0.00030368703,0.00006990392,0.00013299634,0.00025718068,0.00032163624],"domain_scores_gemma":[0.97946954,0.0048370124,0.011546237,0.00048260947,0.001248059,0.0024165313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002004555,0.00011018703,0.00023931648,0.0006043547,0.00047740017,0.001995475,0.00021690113,0.000610668,0.0055294484],"category_scores_gemma":[0.014994832,0.00013061316,0.00020605573,0.0007137681,0.0005793405,0.0009909171,0.0005540113,0.0011257328,0.0011881493],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008155825,0.00015028508,0.9858533,0.000014270813,0.000051249383,0.000099305566,0.0009044631,0.00030926618,0.00024183771,0.0005782175,0.0012924676,0.010423728],"study_design_scores_gemma":[0.0000059185186,0.000049418566,0.99559975,0.000009528,0.000012593355,0.00002529157,0.001744779,0.000371767,0.00013076255,0.0005176597,0.0015243107,0.000008242965],"about_ca_topic_score_codex":0.008825637,"about_ca_topic_score_gemma":0.022672517,"teacher_disagreement_score":0.008825637,"about_ca_system_score_codex":0.00080682215,"about_ca_system_score_gemma":0.00067923125,"threshold_uncertainty_score":0.018497825},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98318684,0.00087690074,0.0009623948,0.0013907737,0.000036881174,0.00003364827,0.008221565,0.00006344559,0.0052275546],"genre_scores_gemma":[0.9923538,0.00033371418,0.00037690558,0.00013439046,0.000062621104,0.000012813719,0.0060515753,0.000015790602,0.00065832934],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99706703,0.0014266144,0.00021890509,0.00033888748,0.0007566352,0.00019186168],"domain_scores_gemma":[0.8809355,0.074992985,0.02936288,0.009960343,0.0035237516,0.0012244247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057975636,0.00022357193,0.00041737827,0.0010185771,0.0003564167,0.0019610277,0.0008759204,0.0013438514,0.0040452313],"category_scores_gemma":[0.059481442,0.00024526587,0.0005382444,0.0016684851,0.0005970562,0.0020431613,0.0011758236,0.001355902,0.0013048105],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022804225,0.0012658115,0.93497825,0.00020951593,0.00059483043,0.00039132335,0.00051762484,0.0062096566,0.00056770135,0.0034316338,0.011061303,0.03849198],"study_design_scores_gemma":[0.00031021176,0.0006816779,0.9222676,0.00019135921,0.00042324566,0.00042264463,0.0010530606,0.050680894,0.0028230336,0.006181403,0.014879412,0.00008539224],"about_ca_topic_score_codex":0.009886121,"about_ca_topic_score_gemma":0.007634919,"teacher_disagreement_score":0.009886121,"about_ca_system_score_codex":0.00064482767,"about_ca_system_score_gemma":0.00041078668,"threshold_uncertainty_score":0.030660808},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987502,0.00013560335,0.000035619953,0.00022054995,0.0000029945713,0.000002380083,0.00021841246,0.0000011724451,0.00063303736],"genre_scores_gemma":[0.99876714,0.00011381501,0.00003314503,0.00003342497,0.0000073179685,0.000002955816,0.00038090642,0.0000011643197,0.0006602016],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980575,0.000028745231,0.000013943329,0.000038019592,0.000035539317,0.00007803442],"domain_scores_gemma":[0.99754876,0.00029312648,0.0014813675,0.00009839861,0.00014536285,0.00043299995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041455435,0.0001170378,0.00023728253,0.00035332254,0.00037034194,0.0007871917,0.0003474715,0.00052827614,0.005288004],"category_scores_gemma":[0.0019800917,0.00013947386,0.00029741158,0.0006243414,0.0003782683,0.0007322008,0.0007641081,0.0008525796,0.00043870584],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009144887,0.00008687867,0.9946679,0.000013798132,0.000048483766,0.000116358104,0.0005047927,0.00027567227,0.00014475656,0.00023774387,0.00059977674,0.0032124699],"study_design_scores_gemma":[0.0000016950853,0.000023361712,0.99829394,0.000009627613,0.000008972348,0.000038671762,0.000884662,0.00027702443,0.000030233023,0.000044439836,0.0003837413,0.0000034812883],"about_ca_topic_score_codex":0.038193204,"about_ca_topic_score_gemma":0.083281435,"teacher_disagreement_score":0.038193204,"about_ca_system_score_codex":0.0005271658,"about_ca_system_score_gemma":0.00027476647,"threshold_uncertainty_score":0.0759418},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99304575,0.0004908982,0.00035462537,0.00056087517,0.000026880216,0.000004971259,0.00017116155,0.00000980529,0.0053349193],"genre_scores_gemma":[0.9975495,0.00028148858,0.00005141103,0.000046859717,0.000012620039,0.0000013295754,0.0001182258,0.0000048154006,0.001933727],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998085,0.000043106204,0.000009487011,0.00003680763,0.000060846858,0.000041153533],"domain_scores_gemma":[0.9982326,0.0005154107,0.0007118275,0.00010642416,0.00031308777,0.00012061094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004304044,0.00012918156,0.00033124548,0.00023940846,0.00024310072,0.0011869706,0.00025380333,0.00033431684,0.004240675],"category_scores_gemma":[0.00465006,0.00012159464,0.00019531364,0.0004465494,0.00043556702,0.0008350282,0.0002752046,0.00067579193,0.0003845519],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005545205,0.000342627,0.9486911,0.00006773222,0.00020776324,0.0005763163,0.00094741833,0.004257629,0.0013690762,0.006759358,0.0019550107,0.03427141],"study_design_scores_gemma":[0.000026899595,0.000114564646,0.986173,0.000025974598,0.00007959878,0.000114016504,0.0012973156,0.004341261,0.0015005259,0.0018861337,0.0044261063,0.000014760328],"about_ca_topic_score_codex":0.10508112,"about_ca_topic_score_gemma":0.105104394,"teacher_disagreement_score":0.10508112,"about_ca_system_score_codex":0.0013820562,"about_ca_system_score_gemma":0.00058112823,"threshold_uncertainty_score":0.20893896},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995256,0.00042509547,0.0000532998,0.000762397,0.00001206542,0.000003497155,0.00046118183,0.000003361052,0.0030230046],"genre_scores_gemma":[0.99786097,0.00013043446,0.0000202616,0.00002133506,0.000016707827,0.0000018734082,0.00027849356,0.000004440978,0.001665467],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99966836,0.000087341,0.000019633711,0.000041442505,0.00009105103,0.00009217827],"domain_scores_gemma":[0.9977822,0.00056534936,0.00058063696,0.000043306612,0.0003180336,0.0007104533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031478077,0.00017297748,0.00035651558,0.0009098073,0.00068264076,0.0028409245,0.0008835272,0.00084334967,0.008272599],"category_scores_gemma":[0.0026507315,0.00025437408,0.0003850567,0.0020589493,0.0009601352,0.001826887,0.0010510819,0.0012032223,0.00080613623],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058962667,0.00030794964,0.9731695,0.000047160476,0.00009659368,0.00055282394,0.0036693506,0.001744354,0.00044446887,0.0065317214,0.003712685,0.009133862],"study_design_scores_gemma":[0.000018024462,0.000057369092,0.9804243,0.000020710564,0.000030058607,0.0001264048,0.01310698,0.0027376248,0.00012703612,0.0010633911,0.0022707842,0.000017371687],"about_ca_topic_score_codex":0.18468352,"about_ca_topic_score_gemma":0.33017248,"teacher_disagreement_score":0.18468352,"about_ca_system_score_codex":0.00272193,"about_ca_system_score_gemma":0.0008912201,"threshold_uncertainty_score":0.36721706},"labels":[],"label_agreement":null}]}