{"meta":{"query_hash":"5396ab570471","filters":{"venue":"International Journal of Housing Markets and Analysis"},"cohort_total":34,"direct_labels_cover":0,"predictions_cover":34,"exported":34,"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/5396ab570471","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Housing+Markets+and+Analysis"},"results":[{"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":"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":"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":"W2067710594","doi":"10.1108/17538271211225922","title":"Using a Fourier polynomial expansion to generate a spatial predictor","year":2012,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Spatial and Panel Data Analysis","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":"Université Laval; Université du Québec à Rimouski","funders":"","keywords":"Spatial analysis; Autocorrelation; Econometrics; Spatial econometrics; Dimension (graph theory); Statistics; Spatial dependence; Polynomial; Computer science; Mathematics","score_opus":0.04428037190124788,"score_gpt":0.26731489283186405,"score_spread":0.22303452093061615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067710594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86770725,0.000621757,0.1298586,0.0005246,0.00076985784,0.000028360953,0.00013158463,0.000004750002,0.00035325665],"genre_scores_gemma":[0.9906993,0.00011806032,0.0073527447,0.0002819275,0.0013876647,7.12093e-7,0.000021023756,0.00001233472,0.00012624936],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987016,0.0000338171,0.00070743315,0.00016777507,0.00018723901,0.0002021867],"domain_scores_gemma":[0.9988309,0.000039478276,0.00058219157,0.00012437074,0.00021494865,0.00020809712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009721169,0.00012645793,0.00043247337,0.0014487503,0.00008100433,0.00017521682,0.000224867,0.000055608554,0.00048598598],"category_scores_gemma":[0.00018067894,0.000118194774,0.0003063486,0.0004975831,0.00002569347,0.0004304967,0.00009208603,0.00010059148,0.000011493283],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000324424,0.00017755106,0.9715258,0.0000053080917,0.0049498514,0.000032863605,0.0006860248,0.0023705072,0.0008849182,0.00040894988,0.0010425312,0.017591283],"study_design_scores_gemma":[0.002013278,0.00016352907,0.69105077,0.000092846814,0.0024843467,0.00014272897,0.0002252086,0.24219625,0.00054701546,0.0007747481,0.05941418,0.0008950934],"about_ca_topic_score_codex":0.0009646995,"about_ca_topic_score_gemma":0.000048089867,"teacher_disagreement_score":0.28047502,"about_ca_system_score_codex":0.000091022484,"about_ca_system_score_gemma":0.000021595462,"threshold_uncertainty_score":0.5321205},"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":"W2133387380","doi":"10.1108/ijhma-07-2015-0031","title":"Towards better recognising ‘community’ in multi-owned property law and living","year":2015,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Housing, Finance, and Neoliberalism","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":"Urbanism; Corporate governance; Originality; New Urbanism; Public administration; Sociology; Political science; Law; Economics; Geography; Architecture; Creativity","score_opus":0.06039464532305783,"score_gpt":0.2667477282771386,"score_spread":0.20635308295408078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133387380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9808221,0.0011308214,0.0047689434,0.00084997923,0.00029484846,0.00003348576,0.000011598026,0.000007092874,0.012081165],"genre_scores_gemma":[0.99283034,0.00040859001,0.0057107625,0.0007219314,0.000106202184,7.208545e-7,0.0000026083767,0.00001375382,0.00020509023],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988311,0.000091860886,0.000672817,0.00015489227,0.00009767445,0.00015164372],"domain_scores_gemma":[0.99904776,0.000076291115,0.0005012863,0.00010460987,0.0001752929,0.00009478237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018367897,0.00012310928,0.00043854353,0.0009048639,0.00008934826,0.00025146877,0.00020376143,0.00006513753,0.000033233435],"category_scores_gemma":[0.00011389943,0.00010137707,0.00012685331,0.00031282756,0.00008217551,0.00046238647,0.000108907625,0.00028179778,0.0000023035884],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030426699,0.00071332004,0.84176815,0.000045399487,0.002794022,0.00030296316,0.013421954,0.00067419634,0.0001386021,0.004036717,0.00030253988,0.13549787],"study_design_scores_gemma":[0.0066928393,0.0004152035,0.7761106,0.0011670452,0.0006086236,0.0003817742,0.0020924406,0.086459376,0.00015236667,0.0106381895,0.11377025,0.0015113099],"about_ca_topic_score_codex":0.0024867847,"about_ca_topic_score_gemma":0.00060297095,"teacher_disagreement_score":0.13398656,"about_ca_system_score_codex":0.00010059621,"about_ca_system_score_gemma":0.000027249564,"threshold_uncertainty_score":0.41340366},"labels":[],"label_agreement":null},{"id":"W2273054047","doi":"10.1108/ijhma-04-2015-0017","title":"Recognising ‘community’ in condo law and living: hard lessons and soft learning from Melbourne and Toronto","year":2015,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Urban Planning and Governance","field":"Social Sciences","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":"Soft law; Sociology; Law; Economic growth; Economics; Political science","score_opus":0.04975012079080932,"score_gpt":0.322631782305007,"score_spread":0.2728816615141977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2273054047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99121654,0.004345006,0.00032222425,0.001330714,0.00010229534,0.000015039095,0.0000050165663,0.0000059186054,0.0026572386],"genre_scores_gemma":[0.9970425,0.0018012424,0.0006421672,0.00014792744,0.00012315079,1.9240973e-7,0.0000016568913,0.0000052596993,0.00023595165],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988713,0.00035230673,0.00024022588,0.00010793079,0.00031444948,0.000113760696],"domain_scores_gemma":[0.998732,0.00062957633,0.00028015464,0.00003891032,0.00018538296,0.00013397746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001903306,0.00008016007,0.00024331866,0.00013517459,0.00025794204,0.00038582965,0.00010920637,0.000050812483,0.000019025003],"category_scores_gemma":[0.0007009859,0.00007407313,0.000039132414,0.00010097974,0.00017594233,0.00047582158,0.000080495935,0.00024722674,9.384909e-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":[0.0001561252,0.000072358205,0.8998313,0.000005882309,0.0009966365,0.00006994934,0.04527289,0.0001238904,0.00021662527,0.00063518446,0.00026527577,0.052353878],"study_design_scores_gemma":[0.002317857,0.00018587174,0.8633699,0.001256999,0.0011233042,0.00008364721,0.07428228,0.0094561875,0.000030218145,0.0047223903,0.042570982,0.00060035975],"about_ca_topic_score_codex":0.039642405,"about_ca_topic_score_gemma":0.0317253,"teacher_disagreement_score":0.05175352,"about_ca_system_score_codex":0.00008225525,"about_ca_system_score_gemma":0.000049944312,"threshold_uncertainty_score":0.9859432},"labels":[],"label_agreement":null},{"id":"W2529958347","doi":"10.1108/ijhma-07-2016-0054","title":"Longitudinal new housing analysis – USA, Australia, Canada and France","year":2016,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","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":"Economics; Geography; Regional science","score_opus":0.06602186100172842,"score_gpt":0.35246862840366233,"score_spread":0.2864467674019339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529958347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8753198,0.00022475615,0.12253613,0.0015835231,0.00022164175,0.000013400718,0.000014227982,0.0000030006934,0.00008351202],"genre_scores_gemma":[0.9955471,0.00031247977,0.0021402522,0.00011235472,0.00014866158,1.7627647e-7,0.000001498664,0.000005332361,0.0017321388],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996898,0.00011282116,0.00086446665,0.00030942765,0.0016444025,0.00017088746],"domain_scores_gemma":[0.9973314,0.0006224688,0.0008053533,0.00016612925,0.00086770556,0.0002069903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016822449,0.00014063498,0.0004683198,0.0018437861,0.00011777658,0.00041957636,0.00037676713,0.000045811583,0.00052336237],"category_scores_gemma":[0.00042764837,0.00008559233,0.0003216103,0.001727001,0.00008876204,0.00044462114,0.000063266714,0.000092987706,0.0000017189094],"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":[0.000055006218,0.0000134128095,0.89525783,7.3112636e-7,0.0025576008,0.000059058224,0.00004880502,0.0020631205,0.00013003478,0.000036779133,0.00038305088,0.09939458],"study_design_scores_gemma":[0.00044099963,0.000022323733,0.9833156,0.000039908664,0.0021765695,0.000029355566,0.000105837615,0.00967232,0.000027434413,0.0017278861,0.0022816313,0.00016012554],"about_ca_topic_score_codex":0.086745664,"about_ca_topic_score_gemma":0.26873708,"teacher_disagreement_score":0.18199141,"about_ca_system_score_codex":0.00005841332,"about_ca_system_score_gemma":0.00015632305,"threshold_uncertainty_score":0.9193358},"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":"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":"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":"W2922290311","doi":"10.1108/ijhma-11-2018-0087","title":"The application of multi-attribute utility theory for a market share-based design evaluation","year":2019,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Economic and Environmental Valuation","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":"Profit (economics); Market share; Corporation; Marketing; Unit (ring theory); Business; Operations research; Industrial organization; Microeconomics; Economics; Environmental economics; Computer science; Mathematics; Finance","score_opus":0.08247625611135086,"score_gpt":0.27453734021053233,"score_spread":0.1920610840991815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922290311","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":[0.37321228,0.00096943695,0.6248742,0.0002916888,0.00016095319,0.0002093402,0.00006867645,0.0000020082325,0.00021146222],"genre_scores_gemma":[0.9964994,0.00015038763,0.0031436374,0.000040359308,0.00003278642,0.000009828052,0.0000189854,0.000006552635,0.00009804231],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989973,0.000079312966,0.0006088341,0.00014266581,0.00009559431,0.00007630258],"domain_scores_gemma":[0.9982892,0.00042107943,0.0009801066,0.000121809,0.00016217252,0.000025604837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049669943,0.00007067922,0.00022944777,0.00027165943,0.00005877205,0.00005620866,0.0001804606,0.000037358164,0.00038328432],"category_scores_gemma":[0.00020815006,0.00005988158,0.00021103765,0.00011673007,0.000041801035,0.00014873694,0.000019951049,0.000047640144,0.0000042336214],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043799434,0.00018733145,0.92134047,0.000017535373,0.0021928358,3.3404075e-7,0.00011716443,0.017340759,0.00016366754,0.002761263,0.0002211471,0.05521952],"study_design_scores_gemma":[0.0008156434,0.00003054551,0.31476113,0.000008629987,0.00017138656,9.005306e-7,0.000049250822,0.6801648,0.00008107132,0.0031146223,0.0007433327,0.00005867857],"about_ca_topic_score_codex":0.000011063256,"about_ca_topic_score_gemma":0.0000034194156,"teacher_disagreement_score":0.66282403,"about_ca_system_score_codex":0.00010505972,"about_ca_system_score_gemma":0.000016826181,"threshold_uncertainty_score":0.41966945},"labels":[],"label_agreement":null},{"id":"W2955066563","doi":"10.1108/ijhma-01-2019-0006","title":"Banks’ lending to public and private sectors and house prices: does bank ownership matter?","year":2019,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Private sector; Loan; House price; Quarter (Canadian coin); Shock (circulatory); Business; Public sector; Financial system; Government (linguistics); Value (mathematics); Monetary economics; Economics; Vector autoregression; Originality; Finance; Economy; Economic growth","score_opus":0.01551126061220195,"score_gpt":0.22984506294123938,"score_spread":0.21433380232903743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955066563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940242,0.00059066864,0.0029274586,0.0017222073,0.00027388582,0.0000632247,0.000021159392,0.000011127255,0.00036603984],"genre_scores_gemma":[0.99832374,0.00023284132,0.0011063792,0.0001600998,0.00008880218,7.129751e-7,0.0000025558368,0.000012727144,0.00007212592],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987896,0.000029659992,0.00059766346,0.0002892247,0.00012969026,0.0001641778],"domain_scores_gemma":[0.9989263,0.00015255832,0.0005763767,0.00011675357,0.00012627138,0.00010175728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011191854,0.0001286114,0.00037021915,0.0011655475,0.00007417666,0.00047698052,0.00019723916,0.000051017247,0.0002864274],"category_scores_gemma":[0.00013221396,0.00009727172,0.00011176197,0.0004542832,0.000047542766,0.00046688435,0.000103827064,0.000108643435,0.000005401416],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026877731,0.0000342897,0.9923627,0.000016956797,0.0005037726,0.0000032403748,0.00033354005,0.00011329527,0.00007740659,0.002331671,0.000012506199,0.0041837716],"study_design_scores_gemma":[0.00029522667,0.000032467644,0.99150157,0.000038871083,0.00006951144,0.000018091556,0.000053613898,0.0032797211,0.000019545343,0.0020857467,0.002446107,0.00015950736],"about_ca_topic_score_codex":0.000040654384,"about_ca_topic_score_gemma":0.000031870524,"teacher_disagreement_score":0.0042995275,"about_ca_system_score_codex":0.00009005178,"about_ca_system_score_gemma":0.000011551986,"threshold_uncertainty_score":0.4599534},"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":"W2981326563","doi":"10.1108/ijhma-08-2019-0082","title":"Justice motivation theory in sustainable home purchases","year":2019,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Sustainable Building Design and Assessment","field":"Engineering","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":"Cape Breton University; Nipissing University","funders":"","keywords":"Sustainability; Real estate; Economic Justice; Context (archaeology); Originality; Value (mathematics); Marketing; Qualitative research; Business; Public relations; Sociology; Economics; Political science; Microeconomics; Finance; Social science","score_opus":0.007575842294730535,"score_gpt":0.2458439769114196,"score_spread":0.23826813461668905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981326563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9702953,0.0004939738,0.027183088,0.00011710112,0.0002499492,0.00004006167,0.0000011045828,0.0000148741865,0.0016045475],"genre_scores_gemma":[0.99860007,0.0002809579,0.0004633267,0.00003842679,0.00008139877,7.1297046e-7,0.0000026558373,0.000010270964,0.00052220235],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9991867,0.000050027855,0.00028442594,0.00008027352,0.00025771436,0.00014086645],"domain_scores_gemma":[0.9993513,0.00021002702,0.000101858204,0.000060158534,0.00023903235,0.00003761458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071579294,0.000085650594,0.00019431885,0.0012149272,0.000021981221,0.000117936615,0.00013759578,0.000031304266,0.00010956185],"category_scores_gemma":[0.00009177562,0.000075759475,0.000090208436,0.0004720658,0.000014218469,0.0003090909,0.000027900738,0.000116221956,7.801595e-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":[0.00050497474,0.0002293813,0.3606257,0.00031621847,0.005003831,0.0010337183,0.0010078902,0.54665583,0.003256358,0.024929224,0.00047646216,0.055960424],"study_design_scores_gemma":[0.004546652,0.00022813305,0.5517829,0.00054969796,0.0029341918,0.00015537861,0.019166606,0.38217396,0.001244111,0.023962054,0.012236206,0.0010201369],"about_ca_topic_score_codex":0.000009920036,"about_ca_topic_score_gemma":0.0000010249672,"teacher_disagreement_score":0.19115718,"about_ca_system_score_codex":0.00016789963,"about_ca_system_score_gemma":0.000032194595,"threshold_uncertainty_score":0.30893818},"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":"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":"W3136880185","doi":"10.1108/ijhma-12-2020-0149","title":"Insurance losses caused by residential housing flood events","year":2021,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Insurance and Financial Risk Management","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":"Flood insurance; Underwriting; Actuarial science; Proxy (statistics); Flood myth; Business; Mortgage insurance; Insurance policy; Casualty insurance; Geography; Statistics","score_opus":0.012630695915687195,"score_gpt":0.23432042443680112,"score_spread":0.22168972852111393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136880185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.974554,0.0048091323,0.01719734,0.00093445886,0.0008072315,0.000026441812,0.00010028165,0.0000070134265,0.0015640673],"genre_scores_gemma":[0.9944781,0.0040469295,0.00057618326,0.00024675767,0.00024636844,7.0494224e-7,0.000015883921,0.000013089476,0.00037595787],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99864405,0.000031435768,0.00076106936,0.00022833922,0.0001724889,0.00016262804],"domain_scores_gemma":[0.9987575,0.00004059096,0.0007289732,0.00012433146,0.0002912925,0.000057309142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000562056,0.00012162989,0.00042598083,0.00062839186,0.000104186205,0.00021180535,0.00022154347,0.000052113835,0.00017671772],"category_scores_gemma":[0.00015892262,0.0001319115,0.00028832848,0.0005499522,0.000034167373,0.0003823704,0.000077325734,0.00013342635,0.0000067023693],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010689664,0.00022626152,0.97750556,0.000017122828,0.0034499485,0.0003598814,0.0001855251,0.00051900174,0.00025108692,0.0023001763,0.0015668204,0.013511696],"study_design_scores_gemma":[0.0016115707,0.000044911834,0.9540742,0.000118079966,0.0003588921,0.000028501334,0.00013654029,0.0013338915,0.00069238216,0.0070853545,0.03413129,0.0003843561],"about_ca_topic_score_codex":0.00010735449,"about_ca_topic_score_gemma":0.00006248033,"teacher_disagreement_score":0.03256447,"about_ca_system_score_codex":0.000078010744,"about_ca_system_score_gemma":0.00003189388,"threshold_uncertainty_score":0.53791946},"labels":[],"label_agreement":null},{"id":"W3183545876","doi":"10.1108/ijhma-10-2020-0127","title":"Golf courses and home values in California’s Central valley","year":2021,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":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); Closing (real estate); Econometric model; Popularity; Value (mathematics); Econometrics; Bayesian probability; Point (geometry); Database transaction; Statistics; Transaction data; Geography; Computer science; Regional science; Economics; Mathematics; Database; Psychology; Finance","score_opus":0.031068281516834356,"score_gpt":0.22539572167693334,"score_spread":0.19432744016009898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183545876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935088,0.0027025712,0.001640453,0.0011398289,0.00019801874,0.000012767187,0.00003779018,0.0000017418567,0.0007579855],"genre_scores_gemma":[0.99566525,0.0032061469,0.00077700237,0.00011792599,0.00008336125,3.2245893e-7,0.000011418777,0.0000056321755,0.00013296756],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921423,0.000022454022,0.00047010914,0.00014203842,0.000053818872,0.00009736717],"domain_scores_gemma":[0.99951416,0.00004485994,0.00030523122,0.000049742666,0.000033164306,0.000052845862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004584557,0.00006855725,0.00026558412,0.0004054101,0.000028259821,0.00009879756,0.000072564166,0.000033176973,0.00031594074],"category_scores_gemma":[0.00005356931,0.000072555566,0.00010882566,0.000120497316,0.000039384133,0.00018819918,0.000042541986,0.000074904594,0.0000041027088],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018782157,0.000052674128,0.99472606,0.0000031202333,0.00056580803,0.000047119767,0.00014175038,0.0009731087,0.000032690048,0.0008672786,0.000062078245,0.0025095039],"study_design_scores_gemma":[0.00052876445,0.0000127853655,0.9842999,0.000020837968,0.00008600475,0.00004308549,0.00020934461,0.008138441,0.000032005904,0.0052486113,0.0012806676,0.00009957285],"about_ca_topic_score_codex":0.00006706246,"about_ca_topic_score_gemma":0.000037967337,"teacher_disagreement_score":0.0104262065,"about_ca_system_score_codex":0.00009904661,"about_ca_system_score_gemma":0.000014753047,"threshold_uncertainty_score":0.34593296},"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":"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":"W3200521286","doi":"10.1108/ijhma-06-2021-0068","title":"A multifractal detrended fluctuation analysis of housing market: a role of financial crises in developed economies","year":2021,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Complex Systems and Time Series Analysis","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":"Detrended fluctuation analysis; Hurst exponent; Economics; Econometrics; Efficient-market hypothesis; Financial crisis; Sample (material); House price; Multifractal system; Autoregressive fractionally integrated moving average; Term (time); Financial economics; Statistics; Mathematics; Macroeconomics; Long memory; Stock market; Fractal; Volatility (finance); Context (archaeology)","score_opus":0.01873702666616756,"score_gpt":0.241390092425714,"score_spread":0.22265306575954644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200521286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99172866,0.002349849,0.0041630873,0.00015894587,0.00012122745,0.000027912534,0.00009209067,0.0000028382042,0.0013553981],"genre_scores_gemma":[0.9971561,0.00068215176,0.0019535215,0.000025391499,0.000059265938,9.927746e-7,0.000026297543,0.000009963099,0.00008634771],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99761784,0.00006711636,0.0017559404,0.00025997037,0.00015263521,0.00014648474],"domain_scores_gemma":[0.9971807,0.00017889132,0.0018952001,0.00016116051,0.00052936026,0.00005469568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092085765,0.00015014631,0.0011909722,0.003927158,0.00004619048,0.00009959366,0.0002095022,0.000072129165,0.0008972444],"category_scores_gemma":[0.0004504509,0.00016065133,0.00076032174,0.0023803876,0.000059302103,0.00031576538,0.000090657835,0.000106265354,6.4571196e-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":[0.0002746269,0.00024478734,0.9420919,0.000026410433,0.014936164,0.0000481059,0.00086645037,0.007980598,0.0006223406,0.0017352572,0.000027376851,0.031145973],"study_design_scores_gemma":[0.00070489786,0.00002742505,0.8517794,0.00006478858,0.0019541276,0.0000089248,0.00067004614,0.14141019,0.000437016,0.0016337355,0.0010986605,0.00021076153],"about_ca_topic_score_codex":0.0010659959,"about_ca_topic_score_gemma":0.0028232627,"teacher_disagreement_score":0.13342959,"about_ca_system_score_codex":0.00011451695,"about_ca_system_score_gemma":0.00009463503,"threshold_uncertainty_score":0.98241967},"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":"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":"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":"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":"W4392079234","doi":"10.1108/ijhma-12-2023-0181","title":"Examining the impact of website layout and dark triad approach on real estate purchase decisions in India: a young adult socialization mediated model","year":2024,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","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 the Fraser Valley","funders":"","keywords":"Likert scale; Socialization; Originality; Dark triad; Purchasing; Psychology; Real estate; Quality (philosophy); Structural equation modeling; Marketing; Personality; Scale (ratio); Big Five personality traits; Affect (linguistics); Social psychology; Business; Developmental psychology; Computer science; Creativity","score_opus":0.031089776253852678,"score_gpt":0.30635845967466857,"score_spread":0.2752686834208159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392079234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956118,0.00016862569,0.001868755,0.00020035109,0.00008825125,0.000059683043,0.000016737113,0.0000095368105,0.0019762935],"genre_scores_gemma":[0.99791956,0.0017969895,0.00013892644,0.00002175578,0.00007573604,0.0000020534062,0.000020706288,0.000012305346,0.000011994892],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987864,0.000036079597,0.00048818687,0.00015565286,0.00042490248,0.00010881429],"domain_scores_gemma":[0.9989048,0.00021052762,0.00037134154,0.00006673583,0.00043250847,0.000014066663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009268916,0.00012904481,0.0002947721,0.0015266028,0.00008737429,0.00037687874,0.00014777792,0.000038089103,0.000008284721],"category_scores_gemma":[0.0004019516,0.000082991784,0.00016956886,0.0008705475,0.00007074575,0.0004481177,0.00010428339,0.0001618737,3.7753813e-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":[0.00032777805,0.00011048929,0.84379375,0.000016941705,0.0021051923,0.00008997105,0.0010472524,0.0052686348,0.00019806734,0.00018573756,0.00006348884,0.14679268],"study_design_scores_gemma":[0.00051851594,0.000012516664,0.56375957,0.00013936908,0.0008232174,0.000008177221,0.00060621795,0.43390557,8.3570313e-7,0.00012385259,0.000014367708,0.000087810404],"about_ca_topic_score_codex":0.0008330561,"about_ca_topic_score_gemma":0.00020234809,"teacher_disagreement_score":0.42863694,"about_ca_system_score_codex":0.00006551982,"about_ca_system_score_gemma":0.00004725434,"threshold_uncertainty_score":0.36342505},"labels":[],"label_agreement":null},{"id":"W4396705260","doi":"10.1108/ijhma-02-2024-0021","title":"Exploring the influence of social media and materialism on impulsive real estate buying decisions among young immigrants in Canada","year":2024,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","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":"Immigration; Materialism; Real estate; Demographic economics; Sociology; Economics; Social psychology; Psychology; Geography; Finance","score_opus":0.025623657036453647,"score_gpt":0.251735659018176,"score_spread":0.22611200198172238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396705260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987907,0.00007335178,0.000008039892,0.0005321187,0.0004429768,0.000027080281,0.00000933442,0.0000040941213,0.00011231088],"genre_scores_gemma":[0.9987255,0.0011044223,0.000014564628,0.000022679511,0.000117504926,0.0000018101933,0.0000023785094,0.000008074697,0.0000031025113],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988955,0.000022344624,0.00041717227,0.00011989631,0.00043797362,0.000107059954],"domain_scores_gemma":[0.9991647,0.00029206986,0.00026684883,0.000045259843,0.00021882715,0.000012304509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046490767,0.000101827114,0.00023904066,0.0008013628,0.000100495185,0.00029311626,0.0001588409,0.000012625843,0.000011342451],"category_scores_gemma":[0.0002051613,0.00007115414,0.000080850914,0.0004754633,0.00006886555,0.0005787303,0.00012530501,0.00011927793,1.8432999e-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":[0.00009810456,0.000011118049,0.8810066,0.000018500936,0.00073283195,0.00036003964,0.0012636243,0.0003093061,0.00033429914,0.00010831974,0.000017383969,0.1157399],"study_design_scores_gemma":[0.0001557244,0.0000016602582,0.99620724,0.0001917658,0.00044597525,0.0000069644384,0.0016127572,0.0011361986,0.0000072459184,0.00004897647,0.00011289052,0.000072608396],"about_ca_topic_score_codex":0.43460256,"about_ca_topic_score_gemma":0.63116294,"teacher_disagreement_score":0.19656041,"about_ca_system_score_codex":0.00009910416,"about_ca_system_score_gemma":0.000066706736,"threshold_uncertainty_score":0.5691625},"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":"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":"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":"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":"W7108080813","doi":"10.1108/ijhma-11-2025-232","title":"Editorial","year":2025,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Residence; Marital status; Welfare; Robustness (evolution); Market research; Econometric model; Immigration","score_opus":0.01018986386887167,"score_gpt":0.23876631211863864,"score_spread":0.22857644824976697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7108080813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6984456,0.008898019,0.07163158,0.005051055,0.115550205,0.00007946503,0.00008500798,0.000031450556,0.10022757],"genre_scores_gemma":[0.98842806,0.001602678,0.000885422,0.00025509327,0.00780777,4.519667e-7,0.0000026905475,0.0000064443193,0.0010113717],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990548,0.000014737974,0.0005900759,0.00014253959,0.00009115296,0.0001067077],"domain_scores_gemma":[0.99912465,0.00005499789,0.0004894602,0.00008684737,0.00020380215,0.00004024132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005833211,0.00008605616,0.00034990758,0.0012884517,0.00006135183,0.00016383108,0.00022612292,0.000062868785,0.00010928554],"category_scores_gemma":[0.000042412845,0.000085525,0.00025566982,0.00047785434,0.000044172084,0.00020362083,0.00004743055,0.00012808623,0.0000045491415],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000738631,0.00047801374,0.52949125,0.000044314656,0.015150861,0.0001514877,0.0009775356,0.0010521153,0.0002259513,0.16983722,0.22083922,0.061013408],"study_design_scores_gemma":[0.0007206282,0.000020367987,0.028639391,0.000048217647,0.00019070743,0.00000711875,0.000025682826,0.0016036732,0.00002698532,0.004492172,0.96409553,0.00012954854],"about_ca_topic_score_codex":0.00010282515,"about_ca_topic_score_gemma":0.000018955898,"teacher_disagreement_score":0.7432563,"about_ca_system_score_codex":0.00006364505,"about_ca_system_score_gemma":0.000029427054,"threshold_uncertainty_score":0.3487608},"labels":[],"label_agreement":null}]}