{"id":"W2791186266","doi":"10.1093/inthealth/ihy003","title":"Evaluating the effectiveness of the Emergency Neurological Life Support educational framework in low-income countries","year":2018,"lang":"en","type":"article","venue":"International Health","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto","funders":"","keywords":"Preparedness; Medicine; Neurointensive care; Emergency management; Cohort study; Cohort; Medical emergency; Family medicine; Intensive care 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001688491,0.0000661884,0.0001376549,0.000053116,0.0001006633,0.000006070184,0.0001518309,0.00004839829,0.0003941997],"category_scores_gemma":[0.001780959,0.00003664264,0.00007928519,0.0001784145,0.0001510812,0.00003779399,0.00005174744,0.0002017721,0.0000273346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008885948,"about_ca_system_score_gemma":0.0006908572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009334947,"about_ca_topic_score_gemma":0.00003206593,"domain_scores_codex":[0.9985397,0.0003641692,0.0003261851,0.0001419292,0.000503264,0.0001247329],"domain_scores_gemma":[0.9985334,0.0008086687,0.0001507858,0.0001597606,0.0002981617,0.00004918753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005615757,0.000076562,0.9823449,0.0001207083,0.00002546221,4.190739e-7,0.0003999632,0.00007351806,0.00003173867,0.01548504,0.0002622088,0.0006178664],"study_design_scores_gemma":[0.0003121481,0.0002128395,0.991462,0.000283313,0.00000662689,0.000004413146,0.00002501175,0.001043362,0.00002606936,0.006279928,0.0003130634,0.0000312611],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.959598,0.00007531634,0.0001551527,0.03330958,0.005449135,0.0003971186,0.00001152238,0.000007055518,0.0009971122],"genre_scores_gemma":[0.9974411,0.0000373016,0.000124627,0.001326467,0.0009579968,0.00003479326,0.00001296062,0.000006217057,0.00005860385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03784302,"threshold_uncertainty_score":0.431621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02894784602657656,"score_gpt":0.4338673743726827,"score_spread":0.4049195283461062,"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."}}