{"id":"W4411637972","doi":"10.2196/69716","title":"Predicting In-Hospital Cardiac Arrest Using Machine Learning Models: Protocol for a Scoping Review","year":2025,"lang":"en","type":"review","venue":"JMIR Research Protocols","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Protocol (science); Computer science; Medicine; Data science; World Wide Web; Alternative medicine","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":[0.07261079,0.005352733,0.01360294,0.0152125,0.004381876,0.007358306,0.00530877,0.006930265,0.1010618],"category_scores_gemma":[0.08993746,0.005507271,0.0164765,0.01399825,0.003999237,0.008559508,0.006615434,0.006633052,0.01730488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0120995,"about_ca_system_score_gemma":0.05562331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005664649,"about_ca_topic_score_gemma":0.01109114,"domain_scores_codex":[0.9711061,0.01082225,0.01084791,0.002439111,0.003342079,0.001442489],"domain_scores_gemma":[0.9411134,0.02110584,0.01108981,0.005994152,0.01845832,0.002238512],"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":[0.00616173,0.0005944787,0.0009691099,0.8504239,0.001972043,0.001342253,0.003363021,0.002049679,0.00254598,0.006556166,0.06595417,0.05806749],"study_design_scores_gemma":[0.01889792,0.002713781,0.005520904,0.5369829,0.005355066,0.001049057,0.003637807,0.001560325,0.002668871,0.01280382,0.4081227,0.0006869208],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0002464742,0.001158305,0.001292743,0.0003396129,0.0002623914,0.9921348,0.003940593,0.00009616575,0.0005287795],"genre_scores_gemma":[0.0001610632,0.0007751005,0.002604084,0.0001369462,0.00002112522,0.9955005,0.0005241325,0.000007912126,0.000269116],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.1010618,"threshold_uncertainty_score":0.3840072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3667344361988471,"score_gpt":0.6018582697836828,"score_spread":0.2351238335848357,"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."}}