{"id":"W4403608177","doi":"10.1097/ms9.0000000000002673","title":"Role of artificial intelligence in predicting neurological outcomes in postcardiac resuscitation","year":2024,"lang":"en","type":"review","venue":"Annals of Medicine and Surgery","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Columbian Hospital","funders":"","keywords":"Artificial intelligence; Machine learning; Medicine; Artificial neural network; Intensive care medicine; Computer science","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":[0.007863373,0.0006545022,0.0009760578,0.003104916,0.0002657525,0.002613857,0.0008273362,0.001033174,0.001294066],"category_scores_gemma":[0.02724754,0.0001976645,0.001590663,0.002171439,0.0007821025,0.001959465,0.000679441,0.00179755,0.0002851817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000887838,"about_ca_system_score_gemma":0.002147769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00211799,"about_ca_topic_score_gemma":0.002338935,"domain_scores_codex":[0.9950333,0.002698454,0.0008604866,0.0003760423,0.0009275873,0.0001042076],"domain_scores_gemma":[0.974421,0.02182498,0.00151354,0.0003400467,0.001775795,0.0001246447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002357372,0.0000834323,0.01759033,0.0415647,0.001501243,0.0003027696,0.000558924,0.00394374,0.0003778922,0.01234424,0.01205081,0.9094462],"study_design_scores_gemma":[0.0001371339,0.001792793,0.09553974,0.2526604,0.009843072,0.004558905,0.002636757,0.02514212,0.005015001,0.07575979,0.5264235,0.0004908624],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006902826,0.9698935,0.00675529,0.009604399,0.0008228619,0.00009673715,0.0005065965,0.00005502284,0.005362746],"genre_scores_gemma":[0.09317634,0.8889321,0.01210562,0.003109507,0.001420728,0.0002013593,0.0004857745,0.00002185742,0.0005467238],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007863373,"threshold_uncertainty_score":0.04158598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1358111845972351,"score_gpt":0.4094838961036142,"score_spread":0.2736727115063792,"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."}}