{"id":"W3121393843","doi":"10.5018/economics-ejournal.ja.2019-38","title":"The Effect of House Prices on Fertility: Evidence from Canada","year":2019,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Fertility; Economics; Renting; House price; Real estate; Demographic economics; Labour economics; Affect (linguistics); Monetary economics; Population; Demography; Finance; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003006541,0.000243964,0.0006274292,0.0001434804,0.0005930716,0.0008202332,0.003780369,0.0001114442,0.001248459],"category_scores_gemma":[0.001364516,0.0001688821,0.0001498757,0.0007610958,0.0002506785,0.001179784,0.0004146265,0.0003548216,0.00001428526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002811144,"about_ca_system_score_gemma":0.0009673021,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7830675,"about_ca_topic_score_gemma":0.4525987,"domain_scores_codex":[0.9961849,0.0009005521,0.0006168878,0.0003849893,0.001460752,0.0004519612],"domain_scores_gemma":[0.9939773,0.004097629,0.0007653005,0.0006387456,0.000284364,0.0002366687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002553803,0.00003464287,0.9851787,0.00003988906,0.0001119712,0.000005892883,0.00111781,0.0001620127,0.004076995,0.00006726876,0.005321916,0.003627504],"study_design_scores_gemma":[0.0002462002,0.00002824015,0.9893908,0.0003516519,0.00005421283,1.785563e-7,0.0009727346,0.00006500351,0.003193568,0.000990455,0.00449426,0.0002126957],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816641,0.01135257,0.00001582494,0.0002779218,0.00154019,0.0006820168,0.00004566859,0.00002590457,0.004395777],"genre_scores_gemma":[0.9903361,0.008932529,0.00002077276,0.0001781033,0.0001149314,0.00001586325,0.000001853973,0.00002928948,0.0003705464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3304688,"threshold_uncertainty_score":0.9996645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1451654322521718,"score_gpt":0.4954196328018469,"score_spread":0.350254200549675,"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."}}