{"id":"W2157006666","doi":"","title":"Social eect and female genital mutilation (FGM)","year":2009,"lang":"en","type":"article","venue":"MPRA Paper","topic":"Female Genital Mutilation/Cutting Issues","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Residence; Ethnic group; Female circumcision; Demography; Quality (philosophy); Demographic economics; Psychology; Sociology; Geography; Gender studies; Socioeconomics; Medicine; Gynecology; Economics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000636516,0.0002905456,0.0002155861,0.001328547,0.0006512806,0.001501986,0.0004040005,0.0008806373,0.03088646],"category_scores_gemma":[0.005245782,0.00007946314,0.0001644183,0.002011799,0.0008191769,0.0004376762,0.0009593525,0.000797336,0.0009390689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001223603,"about_ca_system_score_gemma":0.0005742931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01007523,"about_ca_topic_score_gemma":0.01157819,"domain_scores_codex":[0.9991457,0.0003136953,0.00004110649,0.0000687078,0.000221013,0.0002097264],"domain_scores_gemma":[0.9925368,0.002433821,0.003956213,0.00008461851,0.000252399,0.0007360401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001123819,0.000297053,0.887479,0.0002794024,0.00008048661,0.0008187429,0.0009816831,0.0007608708,0.0002422536,0.01584414,0.006519665,0.08658422],"study_design_scores_gemma":[0.00001208556,0.0001240072,0.9714419,0.0002384611,0.00002938917,0.0005965479,0.002300423,0.0006000258,0.00007281552,0.002978577,0.02159297,0.00001272041],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8521795,0.01998767,0.001051422,0.02728826,0.0003423299,0.00009002542,0.002307337,0.00001953513,0.09673385],"genre_scores_gemma":[0.9822359,0.00665428,0.0002529515,0.0005910745,0.0003983624,0.00002766985,0.000441012,0.000003694055,0.009395115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03088646,"threshold_uncertainty_score":0.1033255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02335363040815597,"score_gpt":0.3038683254597218,"score_spread":0.2805146950515658,"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."}}