{"id":"W2151107211","doi":"10.7202/1025490ar","title":"Pas plus élevée, mais après la migration ! Fécondité, immigration et calendrier de constitution de la famille","year":2014,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Family Dynamics and Relationships","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.003224082,0.0003621862,0.0004177423,0.0007821748,0.001266024,0.001253952,0.0004844188,0.0004593435,0.009029064],"category_scores_gemma":[0.0103261,0.0002325602,0.0005550669,0.001248721,0.0005252836,0.0005499979,0.0006840912,0.0005753332,0.001542046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001100686,"about_ca_system_score_gemma":0.001692472,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09813867,"about_ca_topic_score_gemma":0.1488046,"domain_scores_codex":[0.998525,0.0006126841,0.00008625012,0.0003409226,0.0002758596,0.0001593751],"domain_scores_gemma":[0.9957548,0.001696376,0.0009618166,0.0004873269,0.0008863713,0.0002132361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002486411,0.00005416165,0.914322,0.0003055049,0.000360118,0.000211441,0.009714304,0.0004974538,0.001774292,0.001516606,0.00250277,0.06849269],"study_design_scores_gemma":[0.000006012348,0.0001320229,0.9823825,0.0001736433,0.0000880234,0.0001102321,0.003754736,0.0003222951,0.0005953383,0.000351963,0.01206139,0.00002180511],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753841,0.001874992,0.007626778,0.0009018026,0.0001467054,0.00009215693,0.00322573,0.0000925952,0.01065522],"genre_scores_gemma":[0.9764657,0.0009278116,0.006333631,0.0002836901,0.00004126642,0.0002502819,0.001488295,0.00003711094,0.01417222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9018613,"threshold_uncertainty_score":0.1951349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01275694286855266,"score_gpt":0.2539053213036452,"score_spread":0.2411483784350925,"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."}}