{"id":"W3001964273","doi":"10.3386/w26914","title":"The Gender Gap in Housing Returns","year":2020,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Yale School of Management; Yale University","keywords":"Gender gap; Business; Demographic economics; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009346976,0.0001316694,0.0002453358,0.0007768695,0.0001794759,0.0005232547,0.0001761615,0.0002268549,0.01205051],"category_scores_gemma":[0.004171803,0.00008248143,0.0002189804,0.000612039,0.0002299062,0.0005467745,0.0006002826,0.000263286,0.002117098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002316429,"about_ca_system_score_gemma":0.0001752556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002933191,"about_ca_topic_score_gemma":0.00424424,"domain_scores_codex":[0.9993603,0.0001034354,0.00003138221,0.0001201313,0.0002062337,0.0001786002],"domain_scores_gemma":[0.9987571,0.00047803,0.0003328189,0.00008458219,0.0001983933,0.0001490888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003521056,0.00009890772,0.8704454,0.00007249478,0.0000980038,0.0003699223,0.001835604,0.0002218088,0.001334623,0.009788103,0.01217559,0.1032073],"study_design_scores_gemma":[0.000003991906,0.0000522291,0.9881558,0.00002893451,0.00001234147,0.0002318379,0.0009397215,0.0001568279,0.0002695735,0.001783338,0.00836083,0.000004688965],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.966355,0.002699441,0.0007788438,0.001569854,0.0001195704,0.0000113662,0.003792502,0.00002218692,0.02465123],"genre_scores_gemma":[0.9954879,0.0004953642,0.00008731099,0.0001478248,0.00003785915,0.000005600753,0.0009313972,0.000005908369,0.002800932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01205051,"threshold_uncertainty_score":0.04031295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5274199743570246,"score_gpt":0.4582068281007411,"score_spread":0.06921314625628344,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}