{"id":"W1495306978","doi":"10.1186/cc14625","title":"Predicting outcomes in critically ill patients in a resource-poor setting: the Rwanda Mortality Probability Model","year":2015,"lang":"en","type":"article","venue":"Critical Care","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Critically ill; Intensive care medicine; Emergency medicine","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":[0.00197095,0.0005273319,0.000533301,0.000494985,0.0003306756,0.0009493202,0.0007475056,0.0003079036,0.0008875795],"category_scores_gemma":[0.005914309,0.0002421287,0.0005986228,0.0003859477,0.0001987284,0.0004781404,0.0009845265,0.000779157,0.0002151044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007321144,"about_ca_system_score_gemma":0.001959722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01735632,"about_ca_topic_score_gemma":0.01330647,"domain_scores_codex":[0.9992989,0.0004400359,0.00004316909,0.00007790611,0.00005098577,0.00008896885],"domain_scores_gemma":[0.9984426,0.0008969983,0.0002536346,0.00009253529,0.0002386511,0.00007565891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008745251,0.0004361938,0.5260266,0.0002028414,0.0005144337,0.0007317286,0.00045259,0.3995829,0.001342271,0.004372419,0.006853078,0.05861044],"study_design_scores_gemma":[0.00009731983,0.0003769906,0.08147059,0.0001235276,0.0001897898,0.0004216892,0.0002547217,0.9122375,0.0005671786,0.002407779,0.001804408,0.0000484989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9288372,0.000484986,0.06347976,0.001629241,0.00006913097,0.0002491509,0.001887292,0.0002281502,0.003135064],"genre_scores_gemma":[0.9860642,0.0002068702,0.01222788,0.00006995595,0.00002996558,0.0001408542,0.0007038689,0.00001489971,0.0005415845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01735632,"threshold_uncertainty_score":0.03451055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04569359462352304,"score_gpt":0.3470584637100463,"score_spread":0.3013648690865233,"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."}}