{"id":"W2962235160","doi":"10.1016/j.resuscitation.2019.07.006","title":"Incorporating baseline functional status to improve validity of neurological outcome assessments following cardiac arrest","year":2019,"lang":"en","type":"article","venue":"Resuscitation","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Columbia College","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; McNemar's test; Cardiopulmonary resuscitation; Hospital discharge; Targeted temperature management; Emergency medicine; Resuscitation; Pediatrics; Intensive care medicine; Return of spontaneous circulation","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001097696,0.0001653096,0.0004218417,0.0001872708,0.00007124786,0.00002554633,0.00004575176,0.0001157593,0.00002725486],"category_scores_gemma":[0.0009010053,0.0001432079,0.0003028219,0.0004065397,0.00002583027,0.0001902505,0.00005242484,0.0002116133,0.00009242305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000982675,"about_ca_system_score_gemma":0.000145279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003758988,"about_ca_topic_score_gemma":0.000004452194,"domain_scores_codex":[0.9978786,0.0002174049,0.0005399726,0.0003920076,0.000700159,0.0002718807],"domain_scores_gemma":[0.9985847,0.0004603071,0.0002205565,0.0002840628,0.0002585798,0.0001917439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004365528,0.00008035628,0.9136544,0.0001263179,0.00007537542,0.000007916713,0.0000814513,0.0008051277,0.08153986,0.0003064953,0.0003160746,0.00257009],"study_design_scores_gemma":[0.001286461,0.0004595459,0.9936653,0.00005903304,0.000126798,2.845627e-7,0.0001902457,0.002454262,0.0007267279,0.0002270978,0.000654211,0.0001500309],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842023,0.00001786345,0.004851009,0.0004339357,0.008097447,0.0008604223,0.00004280131,0.00006093974,0.001433227],"genre_scores_gemma":[0.9941303,0.000003398712,0.004648308,0.0002313452,0.0004652682,0.0000338987,0.0003401967,0.00002253311,0.0001247687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08081313,"threshold_uncertainty_score":0.5839848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03500025821072417,"score_gpt":0.3271601089015145,"score_spread":0.2921598506907903,"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."}}