{"id":"W2549927747","doi":"10.1016/j.annepidem.2016.10.007","title":"Identifying emerging reproductive vulnerability: an approach to decompose differences in total fertility","year":2016,"lang":"en","type":"article","venue":"Annals of Epidemiology","topic":"Family Dynamics and Relationships","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Université de Montréal; Institut National de Santé Publique du Québec","funders":"Fonds de Recherche du Québec - Santé; Health Canada","keywords":"Fertility; Demography; Total fertility rate; Medicine; Socioeconomic status; Disadvantaged; Birth rate; Population; Environmental health; Family planning; Economic growth; Economics; Research methodology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.006715037,0.001217438,0.001131879,0.004458197,0.000921791,0.001585042,0.0009708021,0.000638525,0.003025172],"category_scores_gemma":[0.01236311,0.0004162615,0.002495561,0.003352169,0.00059569,0.00104773,0.001738657,0.001487485,0.0002032932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004449102,"about_ca_system_score_gemma":0.001170831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009013318,"about_ca_topic_score_gemma":0.013784,"domain_scores_codex":[0.9980181,0.001083,0.0001248329,0.0004058874,0.0002245615,0.0001436844],"domain_scores_gemma":[0.9951012,0.003285176,0.0003477826,0.0007096988,0.000335032,0.0002211909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005177669,0.0005401842,0.7631567,0.0002373366,0.003818613,0.000218651,0.002026578,0.01734209,0.01030851,0.008549418,0.001064734,0.1922195],"study_design_scores_gemma":[0.00003940591,0.0008402768,0.7305505,0.00007559261,0.0008977464,0.0004322244,0.003795062,0.2330333,0.002534712,0.02459545,0.00307468,0.0001310264],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7094128,0.0002982638,0.2866604,0.000185335,0.00003214365,0.0002901994,0.001530044,0.0002434203,0.001347466],"genre_scores_gemma":[0.8307746,0.0001534502,0.1668728,0.00003549945,0.00002433881,0.0002991671,0.0009646319,0.00006077612,0.0008146444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009013318,"threshold_uncertainty_score":0.03551298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3449005259934191,"score_gpt":0.4581724723232354,"score_spread":0.1132719463298164,"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."}}