{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006833595,0.0002479221,0.0006874131,0.000760041,0.000221948,0.0003149885,0.001123072,0.0004278632,0.0002762895],"category_scores_gemma":[0.001047106,0.0002736213,0.0002519134,0.0002150175,0.0003183141,0.000167896,0.0009490783,0.001520181,0.0006803068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00167635,"about_ca_system_score_gemma":0.000681146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009223428,"about_ca_topic_score_gemma":0.0006230214,"domain_scores_codex":[0.9967691,0.0001226467,0.001492861,0.0008564809,0.0001537984,0.0006051634],"domain_scores_gemma":[0.9975556,0.0009692287,0.0006295783,0.0005509828,0.0001698417,0.0001247519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007875183,0.00004198818,0.01046163,0.000102044,0.00009639729,0.000002657419,0.0003794102,0.004609767,0.00000616412,0.9769956,0.006501823,0.0007237],"study_design_scores_gemma":[0.0003600287,0.00002091723,0.002170544,0.00003325331,0.000001999777,0.000001072258,0.0001086285,0.02451359,0.00002032521,0.9645368,0.0079842,0.0002486483],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04577406,0.001907602,0.00005021717,0.006409715,0.001276281,0.0007019599,0.0001637719,0.00002883764,0.9436876],"genre_scores_gemma":[0.9954259,0.002854675,0.0003757931,0.00008051833,0.000656092,0.00008019099,0.0001018805,0.0000617662,0.0003631428],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9496519,"threshold_uncertainty_score":0.9999716,"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."}}