{"id":"W3159996376","doi":"10.1212/wnl.96.15_supplement.1658","title":"Underutilization of a Post-Cardiac Arrest Consult Service for Standardization of a Guideline-Based Multimodal Neuroprognostication Algorithm in Comatose Cardiac Arrest Survivors (1658)","year":2021,"lang":"en","type":"article","venue":"Neurology","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Columbia College","funders":"","keywords":"Guideline; Standardization; Medicine; Algorithm; Intensive care medicine; Emergency medicine; Computer science; Pathology; Operating system","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":[0.004511512,0.000226036,0.0003383915,0.001328769,0.0003850539,0.001189963,0.0006485336,0.0007132677,0.001661351],"category_scores_gemma":[0.02396974,0.0002253285,0.001131269,0.001792119,0.0001690279,0.0009030573,0.001027872,0.0007572687,0.0002827982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001984497,"about_ca_system_score_gemma":0.00490904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03716577,"about_ca_topic_score_gemma":0.05135954,"domain_scores_codex":[0.9952584,0.001709337,0.001025883,0.000423666,0.001003241,0.0005794843],"domain_scores_gemma":[0.9836616,0.003155791,0.00795246,0.0006026277,0.003707809,0.0009196971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008160935,0.00006831025,0.9915794,0.0000749677,0.0001093278,0.00001735065,0.0001199017,0.0001452162,0.00004563833,0.00005052652,0.001030725,0.006677113],"study_design_scores_gemma":[0.00001568919,0.000107352,0.9970801,0.0001530035,0.0001079904,0.00006622232,0.0002825971,0.001535898,0.00006992236,0.00003280957,0.0005427341,0.000005506957],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922936,0.000774734,0.0009637465,0.0007762669,0.00005727158,0.0002515493,0.003303061,0.00002149578,0.001558297],"genre_scores_gemma":[0.9966539,0.0002198982,0.0009826099,0.0003093356,0.00002344512,0.0001987026,0.00145816,0.000006647302,0.0001473029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03716577,"threshold_uncertainty_score":0.07389885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01319374825827074,"score_gpt":0.2832319040103527,"score_spread":0.270038155752082,"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."}}