{"id":"W1567583518","doi":"","title":"Explaining Human Fertility: One Theory or Many Theories?","year":2000,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Human fertility; Fertility; Epistemology; Positive economics; Economics; Mathematical economics; Computer science; Sociology; Philosophy; Demography; Population","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","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001624656,0.000322951,0.0003819158,0.0004084348,0.001819427,0.0005307117,0.001287222,0.0002973928,0.003604669],"category_scores_gemma":[0.00006176934,0.0003202042,0.0001880379,0.0009703364,0.0007204552,0.001912831,0.0001753055,0.0005687475,0.0003102345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001286521,"about_ca_system_score_gemma":0.0001819481,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006265894,"about_ca_topic_score_gemma":0.02068085,"domain_scores_codex":[0.9961618,0.001326478,0.000300664,0.000709464,0.0006911813,0.0008103888],"domain_scores_gemma":[0.9984789,0.0002698622,0.0001426297,0.0005728273,0.0001125506,0.0004232328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004609124,0.0001979205,0.9201353,0.00002310801,0.0001392007,0.0001667816,0.01499674,0.000002021734,0.0000482346,0.03614132,0.000001246742,0.02768718],"study_design_scores_gemma":[0.00085031,0.0001639733,0.9510273,0.0001334728,0.0001104956,0.000003834504,0.0103746,3.511549e-8,0.00010055,0.0192677,0.01743145,0.0005362609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9600926,0.00009946499,0.0001803632,0.0003439345,0.0001806754,0.0002382873,0.00002239495,0.0003922908,0.03845001],"genre_scores_gemma":[0.9160885,0.0001587652,0.00002975385,0.0002971463,0.0001496191,0.000002272,0.00001448024,0.00002792306,0.08323149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04478148,"threshold_uncertainty_score":0.999925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1660630247843722,"score_gpt":0.3598295276503326,"score_spread":0.1937665028659604,"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."}}