{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03040882,0.0004354869,0.0008831569,0.001453149,0.006448243,0.008297749,0.002561234,0.009787017,0.01063703],"category_scores_gemma":[0.1644647,0.0007645564,0.0006399406,0.001810322,0.006407335,0.008818425,0.004895152,0.01274378,0.0009723355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01524407,"about_ca_system_score_gemma":0.08560154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1114833,"about_ca_topic_score_gemma":0.1693252,"domain_scores_codex":[0.9798448,0.01247342,0.001387947,0.0006810413,0.002583481,0.003029356],"domain_scores_gemma":[0.8904379,0.05886383,0.01048333,0.002849905,0.0130009,0.02436418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005127868,0.001024571,0.06392109,0.004700383,0.0002054677,0.001379369,0.01743392,0.000587486,0.0002816844,0.04535694,0.4428899,0.4217065],"study_design_scores_gemma":[0.0005250453,0.00089451,0.1833885,0.08883778,0.0008147951,0.001447955,0.1148253,0.0007763174,0.0005866507,0.04253916,0.5648399,0.0005240018],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.006620793,0.01581069,0.0002091596,0.9673138,0.002021662,0.00003467714,0.0001087762,0.00002169587,0.00785878],"genre_scores_gemma":[0.3951592,0.1020067,0.005431246,0.4794124,0.007725418,0.0007401312,0.0003653267,0.0002262465,0.008933406],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1114833,"threshold_uncertainty_score":0.2216687,"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."}}