{"id":"W2955287294","doi":"10.1016/s0140-6736(19)31100-6","title":"Making all deaths after surgery count – Authors' reply","year":2019,"lang":"en","type":"letter","venue":"The Lancet","topic":"Global Health and Surgery","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"National Institute for Health and Care Research","keywords":"Medicine; Scopus; Global health; Mortality rate; Developing country; Public health; Cause of death; Disease; MEDLINE; Surgery; Economic growth; Political science; Nursing; Pathology","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":[0.008003714,0.001476652,0.002798178,0.00185694,0.005601023,0.008815104,0.003525388,0.1304567,0.01122468],"category_scores_gemma":[0.05760108,0.002124591,0.002290007,0.001606262,0.005494989,0.005913384,0.004480608,0.08769907,0.01123467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006317237,"about_ca_system_score_gemma":0.009103592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01236102,"about_ca_topic_score_gemma":0.01498982,"domain_scores_codex":[0.9908614,0.002321447,0.001378087,0.001207227,0.002549032,0.001682732],"domain_scores_gemma":[0.9642369,0.02052911,0.003136805,0.001069922,0.005799039,0.005228354],"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":[0.00003139789,0.000008412176,0.0002117389,0.00005677329,0.00002008292,0.0002013012,0.00009939157,0.00002217895,0.00006213244,0.0009644185,0.9966286,0.001693626],"study_design_scores_gemma":[0.0002029359,0.00005833462,0.001501771,0.0008136689,0.0001022864,0.0004776298,0.0008629709,0.0002122394,0.0002586462,0.008061436,0.9872763,0.0001719266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00007552644,0.0007556442,0.00002649491,0.9591573,0.03928748,0.000005310967,0.00005846688,0.00001306673,0.0006206817],"genre_scores_gemma":[0.0006248244,0.0003054569,0.00003500292,0.9682304,0.0286781,0.00001968971,0.00001850644,0.00001269676,0.002075304],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1304567,"threshold_uncertainty_score":0.04583502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08369464808113879,"score_gpt":0.3401295588855072,"score_spread":0.2564349108043684,"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."}}