{"id":"W2997409612","doi":"10.1097/ccm.0000000000004180","title":"Seizure Detection Algorithms in Critically Ill Children: A Comparative Evaluation","year":2019,"lang":"en","type":"article","venue":"Critical Care Medicine","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; St Joseph's Health Care; University of Toronto; SickKids Foundation; Hospital for Sick Children; London Health Sciences Centre","funders":"Canadian Institutes of Health Research","keywords":"Electroencephalography; Clinical neurophysiology; Medicine; Critically ill; Audiology; Psychiatry; Intensive care medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.006821619,0.000691945,0.0005992362,0.002453824,0.000202204,0.0008219648,0.0008026081,0.0007482928,0.00124974],"category_scores_gemma":[0.03495302,0.0002140785,0.0007288491,0.0009889826,0.0003632887,0.001009605,0.0006269962,0.0004214574,0.0002673311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008999424,"about_ca_system_score_gemma":0.0005860243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00143626,"about_ca_topic_score_gemma":0.001734362,"domain_scores_codex":[0.9954516,0.001783014,0.0008142754,0.0006217218,0.001210244,0.0001190499],"domain_scores_gemma":[0.9702302,0.02098567,0.002466401,0.0009293042,0.004831297,0.0005572962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01425201,0.0008468003,0.5650865,0.001250484,0.001575893,0.0003726154,0.0006939875,0.008768086,0.004420377,0.0006434674,0.002588799,0.3995011],"study_design_scores_gemma":[0.002141191,0.01548371,0.8327985,0.0006197636,0.001859737,0.005511905,0.001453553,0.113103,0.02018252,0.0007108959,0.005931844,0.0002033859],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830756,0.004056123,0.009310421,0.0002152561,0.00007116449,0.0002664781,0.0006659863,0.0003318168,0.002007183],"genre_scores_gemma":[0.9722602,0.001265889,0.02461514,0.00008385083,0.00005359911,0.0001710359,0.001257022,0.00006109302,0.0002321798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006821619,"threshold_uncertainty_score":0.03607661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0493189443108367,"score_gpt":0.3714890829255849,"score_spread":0.3221701386147481,"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."}}