{"id":"W3207271987","doi":"10.2196/30798","title":"Artificial Intelligence in Predicting Cardiac Arrest: Scoping Review","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scopus; Data extraction; Systematic review; Medicine; MEDLINE; Artificial intelligence; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01789936,0.00246068,0.00665043,0.02688586,0.001321675,0.00631663,0.003021334,0.00480395,0.007034867],"category_scores_gemma":[0.1203186,0.001610662,0.008681266,0.02262805,0.001786361,0.004800917,0.002737541,0.003282696,0.0009868658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005940748,"about_ca_system_score_gemma":0.02264719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0109897,"about_ca_topic_score_gemma":0.01530126,"domain_scores_codex":[0.9830358,0.006147531,0.006442314,0.0009272629,0.003100876,0.0003461787],"domain_scores_gemma":[0.8904277,0.09166205,0.009301711,0.001186247,0.006971678,0.0004506614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00007407612,0.00002896285,0.0004486078,0.8869846,0.002337952,0.0001500788,0.0004664515,0.0003248773,0.00007885076,0.001156741,0.004641495,0.1033072],"study_design_scores_gemma":[0.0000193549,0.0000321197,0.0004464832,0.9723855,0.005212975,0.000141553,0.0001874243,0.0001040759,0.00005831633,0.0005623289,0.02083195,0.0000180136],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002219229,0.9972864,0.0003479561,0.0007004824,0.0002773465,0.0003507884,0.0002084355,0.0000128055,0.0005937062],"genre_scores_gemma":[0.003115123,0.994615,0.0008608532,0.0004249726,0.0001595209,0.0005677764,0.0001554121,0.00000640936,0.00009489097],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02688586,"threshold_uncertainty_score":0.09466195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02864684780833541,"score_gpt":0.3589846247366947,"score_spread":0.3303377769283593,"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."}}