{"id":"W4400768924","doi":"10.1136/bmj.q1594","title":"We urgently need humanised, respectful maternity care for all","year":2024,"lang":"en","type":"editorial","venue":"BMJ","topic":"Maternal and Perinatal Health Interventions","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research","funders":"","keywords":"Maternity care; Medicine; Computer science; Pregnancy; Data science; World Wide Web; Biology","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":[0.02985427,0.004226756,0.006483174,0.004402982,0.008136699,0.01811483,0.005756987,0.04974848,0.01863031],"category_scores_gemma":[0.1164352,0.003054838,0.004797076,0.003077021,0.007059629,0.0119981,0.004106933,0.07187903,0.01414214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008122846,"about_ca_system_score_gemma":0.02254431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01284171,"about_ca_topic_score_gemma":0.04067598,"domain_scores_codex":[0.9767308,0.006610927,0.003350337,0.001533693,0.01016071,0.001613472],"domain_scores_gemma":[0.8565115,0.08491511,0.005961398,0.003443624,0.03407215,0.01509635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002502575,0.00001418292,0.00002252577,0.0004023766,0.00003088441,0.00004485486,0.00004837458,0.00001150351,0.00002001661,0.0004496174,0.9949287,0.004001981],"study_design_scores_gemma":[0.0001471933,0.00004515386,0.0002945735,0.001368706,0.0001266696,0.0001023239,0.0002832513,0.0000684709,0.00004778626,0.00221002,0.9952565,0.00004935957],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002097708,0.005696951,0.00008135558,0.1492059,0.8440657,0.00002830438,0.00003752626,0.0000424684,0.0008208273],"genre_scores_gemma":[0.0003609599,0.006597242,0.0002809159,0.1563218,0.8302135,0.00009378418,0.00003413882,0.00004794214,0.006049754],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.04974848,"threshold_uncertainty_score":0.1578863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0479154475041102,"score_gpt":0.4151154732822178,"score_spread":0.3672000257781076,"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."}}