{"id":"W6986557609","doi":"","title":"Postpartum care for women with FGM:How good are the policies?","year":2018,"lang":"en","type":"article","venue":"Pure (Coventry University)","topic":"Female Genital Mutilation/Cutting Issues","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Care Foundation","funders":"","keywords":"Postpartum period; Pregnancy; MEDLINE; Health care; Population","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005271481,0.0001500193,0.0001956053,0.0001291058,0.0003100976,0.00003476529,0.0001910902,0.00008196382,0.00005141267],"category_scores_gemma":[0.00006509703,0.0001118317,0.00006215004,0.0003927958,0.000188369,0.0001061561,0.00007169385,0.000118745,0.00002760031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002495215,"about_ca_system_score_gemma":0.0001060764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002235235,"about_ca_topic_score_gemma":0.0001280367,"domain_scores_codex":[0.9991138,0.00002647525,0.00006730153,0.0002413071,0.0001897985,0.0003613227],"domain_scores_gemma":[0.9990131,0.000057558,0.0001033542,0.0003496237,0.0003419337,0.0001344332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.009189118,0.0005182794,0.8664575,0.002023375,0.001526552,0.0006441054,0.06728444,0.00006716602,0.00357233,0.03094217,0.01382459,0.003950338],"study_design_scores_gemma":[0.003256985,0.00196068,0.164224,0.0002718603,0.0003606899,0.00007474714,0.1155845,0.00008987365,0.002864218,0.0001365915,0.7107967,0.0003791309],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9660923,0.0001362102,0.0003145748,0.008606522,0.0001516004,0.0007786056,0.00007092331,0.0001254284,0.0237238],"genre_scores_gemma":[0.97486,0.000007582886,0.0003013786,0.0003622492,0.0004135348,0.000003295342,0.00002234572,0.00002413926,0.02400544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7022335,"threshold_uncertainty_score":0.4560364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01319292193290486,"score_gpt":0.2232982542966671,"score_spread":0.2101053323637623,"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."}}