{"id":"W2222573067","doi":"10.7202/1044664ar","title":"La circoncision des femmes en Afrique : repenser les politiques de santé","year":2018,"lang":"fr","type":"article","venue":"Les ateliers de l éthique","topic":"Female Genital Mutilation/Cutting Issues","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Political science; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002766801,0.0005526966,0.0006222911,0.0002742228,0.0004187816,0.0001578424,0.0003794582,0.001678063,0.001102308],"category_scores_gemma":[0.004528108,0.0005746819,0.0002660462,0.0003436303,0.001800634,0.0003204369,0.000205419,0.001293983,0.0004194083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0015903,"about_ca_system_score_gemma":0.0006090151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004863285,"about_ca_topic_score_gemma":0.001001055,"domain_scores_codex":[0.994923,0.001881541,0.000716581,0.0007018942,0.0003791072,0.001397887],"domain_scores_gemma":[0.9963288,0.001561227,0.000242298,0.0006988039,0.0006135662,0.0005552801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009544974,0.0005434412,0.3261746,0.002856346,0.00065891,0.002416509,0.1369875,0.00007884418,0.08638053,0.09812723,0.01064245,0.3341791],"study_design_scores_gemma":[0.002022932,0.002061255,0.4680083,0.007655574,0.0006391509,0.003942662,0.03091524,0.002289569,0.2593005,0.1434328,0.07807169,0.001660419],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8916188,0.01873886,0.005424217,0.007653803,0.0005900689,0.0005228607,0.0000421304,0.0003974903,0.07501176],"genre_scores_gemma":[0.9588814,0.003521088,0.02506624,0.00169727,0.003721971,0.00004189905,0.00002764382,0.0001623873,0.006880138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3325187,"threshold_uncertainty_score":0.9998108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04104595486760523,"score_gpt":0.3512802444530614,"score_spread":0.3102342895854562,"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."}}