{"id":"W2209452456","doi":"10.25336/p6x01r","title":"Fertility decline and social change: new trends and challenges","year":2003,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Statistics Canada","funders":"Université de Montréal","keywords":"Fertility; Loneliness; Developed country; Immigration; Social change; Population growth; Population; Demographic change; Development economics; Demographic economics; Developing country; Age structure; Economic growth; Economics; Political science; Demography; Sociology; Psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006694052,0.00009383455,0.000166501,0.0002542731,0.0004948525,0.00002662729,0.00005064735,0.00007231655,0.00001401341],"category_scores_gemma":[0.0001196349,0.0001037114,0.000021181,0.0002742447,0.0002103488,0.0001513593,0.00001792507,0.00006163882,7.998967e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002178038,"about_ca_system_score_gemma":0.00003649397,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3229986,"about_ca_topic_score_gemma":0.9798783,"domain_scores_codex":[0.9990109,0.000165309,0.0001576913,0.0002238085,0.0001534454,0.0002888317],"domain_scores_gemma":[0.9996927,0.00002722331,0.00004675743,0.00007501684,0.00003482931,0.0001234679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002723265,0.000006946745,0.7244946,0.00003064198,0.00002315351,0.000003962702,0.03001924,3.538713e-7,4.603489e-8,0.05719695,0.0002947975,0.1879266],"study_design_scores_gemma":[0.0001744076,0.000007936865,0.9380692,0.000008384808,0.00001273555,1.157402e-7,0.006140054,0.000003126161,9.124614e-8,0.007831648,0.04765279,0.0000994583],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9478428,0.02430499,0.000001078161,0.01135311,0.0005410757,0.0002772227,0.000008861905,0.00002913603,0.01564169],"genre_scores_gemma":[0.9946353,0.004712882,0.0000531291,0.0002718256,0.000130796,0.0000198587,0.000005173093,0.000005890771,0.0001650999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6568797,"threshold_uncertainty_score":0.6815096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2008179979870279,"score_gpt":0.384146620194165,"score_spread":0.1833286222071371,"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."}}