{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01360306,0.0005388121,0.0004953608,0.0009458678,0.000782916,0.001419855,0.00117522,0.0008010932,0.001770181],"category_scores_gemma":[0.02718167,0.0003432833,0.0007708839,0.0007784691,0.0008818175,0.001216055,0.002671709,0.001129522,0.0001410581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003888815,"about_ca_system_score_gemma":0.008123959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009661648,"about_ca_topic_score_gemma":0.01152481,"domain_scores_codex":[0.992849,0.004874798,0.0004086744,0.0002740303,0.0006637073,0.0009297046],"domain_scores_gemma":[0.9867061,0.005473892,0.003021488,0.0003640221,0.001450874,0.002983546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008031767,0.03830726,0.7463142,0.003434199,0.0008588257,0.0005663881,0.00747513,0.004518688,0.0007735481,0.0008947779,0.002323262,0.1865019],"study_design_scores_gemma":[0.002264621,0.05330222,0.9303947,0.001302269,0.0003743013,0.0001206238,0.006578138,0.002377688,0.0006393471,0.0001863838,0.002413008,0.00004677604],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970271,0.0002569869,0.0001011129,0.0004723692,0.00001660533,0.0008714193,0.0001726613,0.000005560259,0.001076205],"genre_scores_gemma":[0.9979466,0.0002266595,0.0007560009,0.0001323363,0.00001020299,0.0006642157,0.0001695428,0.000001039966,0.00009333036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01360306,"threshold_uncertainty_score":0.07194072,"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."}}