{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007743888,0.0006293269,0.0009263005,0.001166352,0.0007194325,0.001701492,0.0006490821,0.0009235013,0.0009498486],"category_scores_gemma":[0.02870466,0.0002490283,0.0008920528,0.0006600674,0.0004933428,0.001771808,0.0009982178,0.001273552,0.0003879046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000833351,"about_ca_system_score_gemma":0.00193392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006976562,"about_ca_topic_score_gemma":0.02062641,"domain_scores_codex":[0.9969541,0.001281985,0.0005755794,0.0003271459,0.0005452788,0.0003159876],"domain_scores_gemma":[0.988648,0.004604946,0.00182784,0.0007096381,0.003561308,0.0006483117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001082933,0.0008213912,0.9583834,0.0001460844,0.0004212059,0.0000463572,0.0004253479,0.000985333,0.0008759175,0.0001372661,0.001408782,0.03526601],"study_design_scores_gemma":[0.00008414489,0.001564365,0.9879789,0.0001922129,0.0002248967,0.00009072836,0.0004479219,0.006628322,0.001255583,0.0004915337,0.001001923,0.00003947833],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941105,0.000342591,0.001778157,0.0003658874,0.0001615735,0.0001679054,0.0006127484,0.00004096421,0.002419726],"genre_scores_gemma":[0.9969441,0.0001367398,0.001577486,0.0001077308,0.0000381982,0.0001491519,0.0007090562,0.0000102778,0.0003271292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007743888,"threshold_uncertainty_score":0.04095405,"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."}}