{"id":"W2096720789","doi":"10.7202/1027977ar","title":"La démographie africaine au prisme du genre","year":2014,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Migration, Identity, and Health","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0009814762,0.0007739467,0.0004841573,0.006571418,0.006747277,0.003994178,0.0004369656,0.0008191234,0.01329288],"category_scores_gemma":[0.002844262,0.0002137897,0.0003102784,0.01087166,0.00400555,0.002159164,0.0007862771,0.002583788,0.0004383551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03126941,"about_ca_system_score_gemma":0.02410284,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9572057,"about_ca_topic_score_gemma":0.9481553,"domain_scores_codex":[0.9989951,0.0004555262,0.00003986731,0.00009648319,0.000160795,0.0002522019],"domain_scores_gemma":[0.9984728,0.0006818082,0.0001375228,0.0000745397,0.0004734551,0.000159978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001997025,0.00005793181,0.01695597,0.0007129565,0.0000814591,0.001048558,0.07126404,0.0008725563,0.001618299,0.715916,0.05887496,0.1323976],"study_design_scores_gemma":[0.00001453775,0.00002431776,0.05873374,0.000803294,0.0000189515,0.0003873903,0.02429621,0.0002551548,0.0003018694,0.008217411,0.9069125,0.00003456864],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2724333,0.1801668,0.00473965,0.05227866,0.003404021,0.0001366734,0.005152185,0.0001788486,0.4815098],"genre_scores_gemma":[0.740841,0.06974789,0.003705591,0.00226108,0.001027131,0.000182035,0.001028492,0.0001043658,0.1811025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9572057,"threshold_uncertainty_score":0.2268765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01072837135304252,"score_gpt":0.2547432696003961,"score_spread":0.2440148982473536,"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."}}