{"id":"W2109999633","doi":"10.7202/011206ar","title":"Naissances prémaritales au Sénégal : confrontation de modèles urbain et rural","year":2005,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Migration, Identity, and Health","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001968252,0.0003571178,0.0004157693,0.000413276,0.001781726,0.0002851347,0.0004546588,0.0006029513,0.0003178577],"category_scores_gemma":[0.0002634296,0.0004207559,0.0003513706,0.001092168,0.003383954,0.001203467,0.00002701166,0.0005928961,0.0000828913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001390758,"about_ca_system_score_gemma":0.002753082,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2964488,"about_ca_topic_score_gemma":0.8699694,"domain_scores_codex":[0.9963173,0.000817088,0.0005933378,0.000442227,0.0006048265,0.001225279],"domain_scores_gemma":[0.9982359,0.0002753969,0.0003332926,0.0002853874,0.0002198404,0.0006502249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00005627259,0.0002679732,0.2953144,0.0002199224,0.0001230283,0.00001268565,0.1757095,0.0002320719,0.0001013743,0.4653153,0.04517731,0.01747006],"study_design_scores_gemma":[0.001063325,0.0002773981,0.4425403,0.000289467,0.0003123099,0.00003425841,0.07622623,0.0009970453,0.0001119675,0.05561562,0.4215094,0.001022711],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8881052,0.05942124,0.0018931,0.02288747,0.001591836,0.000521627,0.00008600733,0.0001740268,0.02531948],"genre_scores_gemma":[0.9553215,0.02708671,0.002377602,0.003392566,0.002118938,0.000062331,0.00006482649,0.00004203475,0.009533504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5735207,"threshold_uncertainty_score":0.9998244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01712713454600277,"score_gpt":0.2961696652295591,"score_spread":0.2790425306835563,"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."}}