{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001873014,0.0002347389,0.0005674355,0.002006173,0.002157499,0.001058268,0.001346007,0.0003971629,0.004236342],"category_scores_gemma":[0.008801557,0.0002460737,0.0007877301,0.006270161,0.001643272,0.0002819733,0.0008312727,0.0006683519,0.0002126628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01598021,"about_ca_system_score_gemma":0.02653952,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954804,"about_ca_topic_score_gemma":0.9973398,"domain_scores_codex":[0.9983777,0.0002459781,0.00009109675,0.0002049745,0.0006681419,0.0004121398],"domain_scores_gemma":[0.9886513,0.002847961,0.001775686,0.0006322918,0.004821904,0.00127095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002857962,0.00003852586,0.9765277,0.0001846029,0.000289234,0.0001627528,0.001045619,0.0002874765,0.0001134594,0.001009281,0.003007425,0.0170481],"study_design_scores_gemma":[0.00001655684,0.00002448289,0.9963708,0.00007046913,0.0001039845,0.00003784235,0.0006053171,0.0001298504,0.00007918179,0.00006465101,0.002485601,0.00001123699],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9617677,0.008932111,0.0002597859,0.002355273,0.000037675,0.00004466156,0.01175662,0.00001784137,0.01482822],"genre_scores_gemma":[0.9888237,0.006072904,0.0002177536,0.000288723,0.00001665319,0.00001194305,0.002921919,0.00001124579,0.001635143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01598021,"threshold_uncertainty_score":0.115945,"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."}}