{"id":"W142522410","doi":"","title":"The Northern America Fertility Divide","year":2005,"lang":"en","type":"article","venue":"Policy review","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Population; Fertility; Geography; Government (linguistics); Total fertility rate; Development economics; Political science; Demographic economics; Economic growth; Demography; Economics; Sociology; Family planning; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00157714,0.0001325865,0.0002466863,0.00003640432,0.0008810865,0.00008751152,0.0006382178,0.00002964989,0.0001234931],"category_scores_gemma":[0.0006446449,0.00009064843,0.0002291037,0.0007695841,0.0004770338,0.0001318753,0.00009182416,0.0001236445,0.0007808783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001425733,"about_ca_system_score_gemma":0.0001310113,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0106419,"about_ca_topic_score_gemma":0.02268724,"domain_scores_codex":[0.9979154,0.0005157571,0.0003528523,0.0002257452,0.0004875532,0.0005026675],"domain_scores_gemma":[0.9989339,0.000126963,0.0001612171,0.0005608813,0.00009105587,0.0001260572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001802072,0.00003644194,0.01500623,0.0001457988,0.00002789122,5.837479e-7,0.000631822,0.000001163441,1.747607e-7,0.01133221,0.01100341,0.9618125],"study_design_scores_gemma":[0.00003431677,0.000004582621,0.0893538,0.0001262147,0.00003059231,1.21782e-7,0.00004794374,0.000002179522,4.734418e-7,0.001549553,0.9087505,0.00009969547],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01397431,0.3198862,0.00009623277,0.2538893,0.0003523848,0.002246563,0.00002017815,0.0003237661,0.409211],"genre_scores_gemma":[0.5307128,0.4495373,0.0000969728,0.01591376,0.0009714538,0.000147259,0.000002779088,0.00001707886,0.002600565],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9617128,"threshold_uncertainty_score":0.9999971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02761033406886777,"score_gpt":0.3666847371423422,"score_spread":0.3390744030734745,"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."}}