{"id":"W2528229209","doi":"10.1212/wnl.86.16_supplement.p5.011","title":"Validating StatNet EEG as a Reliable and Effective Tool in the Diagnosis of Non-Convulsive Status Epilepticus: Phase 2 (P5.011)","year":2016,"lang":"en","type":"article","venue":"Neurology","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Health Authority; University of Saskatchewan","funders":"","keywords":"Status epilepticus; Electroencephalography; Medicine; Epilepsy; Neuroscience; Intensive care medicine; Psychology; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01790328,0.0004685953,0.0004268855,0.0006424326,0.0002010419,0.0009318619,0.0004386082,0.0005458666,0.001924747],"category_scores_gemma":[0.03088439,0.0001999357,0.000432899,0.0003830693,0.0004650521,0.0008337318,0.0008363014,0.0002795284,0.0007016844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003634177,"about_ca_system_score_gemma":0.000614989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004140194,"about_ca_topic_score_gemma":0.001210566,"domain_scores_codex":[0.9925355,0.004312131,0.0009527726,0.0006030345,0.001368844,0.0002277533],"domain_scores_gemma":[0.9739325,0.0105668,0.004307759,0.001695717,0.008863727,0.0006336069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.007328508,0.0005957174,0.915896,0.0004119663,0.000321256,0.0002540605,0.0007921827,0.001637574,0.01169031,0.0001562622,0.002476048,0.05844001],"study_design_scores_gemma":[0.000504948,0.006814829,0.9662235,0.0001400076,0.0001580232,0.001307496,0.0004487213,0.01013727,0.01082392,0.0001388048,0.003269641,0.00003271415],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857969,0.0004268445,0.008252868,0.0001785999,0.0001324785,0.0008505587,0.0006425309,0.0001201203,0.00359913],"genre_scores_gemma":[0.991538,0.0001009592,0.006303924,0.00008022493,0.00004224574,0.000439167,0.0009651858,0.00002527188,0.0005050989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01790328,"threshold_uncertainty_score":0.09468275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01045367885027143,"score_gpt":0.3079256266631218,"score_spread":0.2974719478128504,"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."}}