{"id":"W2066756424","doi":"10.1186/cc5495","title":"Bispectral index and suppression ratio are very early predictors of neurological outcome during therapeutic hypothermia after cardiac arrest","year":2007,"lang":"en","type":"article","venue":"Critical Care","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Bispectral index; Hypothermia; Logistic regression; Receiver operating characteristic; Anesthesia; Return of spontaneous circulation; Cardiac index; Sedation; Cohort; Area under the curve; Targeted temperature management; Internal medicine; Cardiology; Hemodynamics; Cardiac output; Cardiopulmonary resuscitation; Resuscitation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003045744,0.000263065,0.0001947368,0.0003897129,0.0001785867,0.0002618945,0.0001786806,0.0002673928,0.0003528324],"category_scores_gemma":[0.002598071,0.00009247615,0.0001552982,0.0002803531,0.0002375542,0.0003123179,0.0002296534,0.0005126442,0.0001026082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002039622,"about_ca_system_score_gemma":0.0001950793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001144404,"about_ca_topic_score_gemma":0.001488352,"domain_scores_codex":[0.9998179,0.00005526338,0.00002425156,0.00002017038,0.000045824,0.00003669057],"domain_scores_gemma":[0.9983657,0.0004056724,0.0007622946,0.00004266413,0.0001572415,0.0002665186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002452381,0.0001759356,0.9878493,0.00002237069,0.00005683245,0.0002774126,0.0001193965,0.0002882317,0.002733681,0.00002331843,0.0001323815,0.005868748],"study_design_scores_gemma":[0.00001450652,0.0006020032,0.9975661,0.000005072274,0.00002572052,0.0003107813,0.00006452229,0.0006295881,0.0006665653,0.00003946735,0.00006987324,0.00000577525],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999501,0.000122546,0.00008214623,0.00001729398,0.000004465653,0.000005345962,0.0000398033,0.000002534494,0.0002250065],"genre_scores_gemma":[0.9997452,0.00006092876,0.00005624156,0.000006526297,0.000008234026,0.000004872783,0.00007726204,9.227146e-7,0.00003981211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001144404,"threshold_uncertainty_score":0.002275467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0138529646406503,"score_gpt":0.2866784619877077,"score_spread":0.2728254973470575,"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."}}