{"id":"W3003501182","doi":"10.1016/j.jogc.2019.11.019","title":"8. Paradoxes of ‘modern’ female bodies","year":2020,"lang":"en","type":"article","venue":"Journal of Obstetrics and Gynaecology Canada","topic":"Female Genital Mutilation/Cutting Issues","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Fell; Medicine; Demography; Socioeconomics; Geography; Sociology","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":[],"consensus_categories":[],"category_scores_codex":[0.00009643698,0.00008550488,0.0004001576,0.0001020559,0.00003574711,0.000005973627,0.0000720856,0.0000646939,0.0001051858],"category_scores_gemma":[0.004724906,0.0000708825,0.00005200229,0.0001664568,0.00006195774,0.00004608942,0.00003053101,0.0001892548,4.527509e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001311421,"about_ca_system_score_gemma":0.0007840962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001199503,"about_ca_topic_score_gemma":0.001825766,"domain_scores_codex":[0.9990597,0.00002352398,0.0004341529,0.00008774913,0.0002615114,0.0001333824],"domain_scores_gemma":[0.9981915,0.0008956957,0.0003459638,0.00006870039,0.000299597,0.0001985023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003167499,0.00007060817,0.9412827,0.0003031573,0.0002578593,0.002078355,0.001401754,0.0001177965,0.0004727336,0.0001561839,0.002563124,0.05126404],"study_design_scores_gemma":[0.001994224,0.001262645,0.9824446,0.00001576329,0.0002141569,0.0001164442,0.0008092392,0.0004311406,0.001538954,0.0002747189,0.01077546,0.000122598],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824324,0.01223584,0.00004126324,0.002094509,0.001692723,0.00007511365,0.000008493656,0.000003500876,0.001416209],"genre_scores_gemma":[0.9978692,0.00009963237,0.001257567,0.0006369015,0.00004306489,4.076584e-7,0.000001198202,0.000008467304,0.00008358469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05114144,"threshold_uncertainty_score":0.5656496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02485066620418361,"score_gpt":0.2480520731695647,"score_spread":0.223201406965381,"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."}}