{"id":"W2973346645","doi":"10.1161/cir.0000000000000710","title":"Cardiac Arrest and Cardiopulmonary Resuscitation Outcome Reports: Update of the Utstein Resuscitation Registry Template for In-Hospital Cardiac Arrest: A Consensus Report From a Task Force of the International Liaison Committee on Resuscitation (American Heart Association, European Resuscitation Council, Australian and New Zealand Council on Resuscitation, Heart and Stroke Foundation of Canada, InterAmerican Heart Foundation, Resuscitation Council of Southern Africa, Resuscitation Council of Asia)","year":2019,"lang":"en","type":"article","venue":"Circulation","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":295,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deakin University; American Heart Association","keywords":"Medicine; Cardiopulmonary resuscitation; Resuscitation; Medical emergency; Delphi method; Intensive care medicine; Emergency medicine; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009397315,0.0006703873,0.001647927,0.0004142133,0.0003717018,0.0001291431,0.000281075,0.0003526852,0.000004631758],"category_scores_gemma":[0.01509365,0.0006190616,0.0004963267,0.001392372,0.0007893937,0.0005700852,0.0001157119,0.0005711711,0.000002325907],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005867143,"about_ca_system_score_gemma":0.007273016,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04197229,"about_ca_topic_score_gemma":0.02208756,"domain_scores_codex":[0.987498,0.001310591,0.003586048,0.001342589,0.005694356,0.0005683723],"domain_scores_gemma":[0.9813089,0.002720039,0.005421826,0.001341045,0.008967998,0.0002401993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005041339,0.0003041632,0.8456612,0.001063435,0.0008455385,0.000008523809,0.01778127,0.006801926,0.102451,0.0004988261,0.01859068,0.0009521449],"study_design_scores_gemma":[0.003973003,0.000508167,0.9709758,0.001819577,0.0005874449,0.00000711617,0.007927597,0.001695428,0.001221251,0.001640541,0.009064927,0.0005792044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806508,0.0001920306,0.0001782212,0.007996486,0.005041613,0.00353536,0.001291232,0.0000469111,0.001067284],"genre_scores_gemma":[0.9962033,0.00005946887,0.001497967,0.0001195546,0.0003763714,0.00009866398,0.0009363096,0.0001092105,0.0005991409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1253146,"threshold_uncertainty_score":0.9996261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02896975807028033,"score_gpt":0.2522236296460797,"score_spread":0.2232538715757994,"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."}}