{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006859706,0.0001463812,0.0002658481,0.0001275005,0.00007615973,0.00002964963,0.0004934616,0.00008921399,0.00002889612],"category_scores_gemma":[0.001019153,0.00009187213,0.00003172269,0.0002656857,0.0001237095,0.0002017593,0.000248743,0.0003547753,0.00002331838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002065726,"about_ca_system_score_gemma":0.00007374552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001209598,"about_ca_topic_score_gemma":0.00007351026,"domain_scores_codex":[0.9978133,0.0007445745,0.0003131033,0.000486936,0.0001910134,0.0004511032],"domain_scores_gemma":[0.995559,0.003577422,0.0002002752,0.0005297035,0.00007803679,0.00005555414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003886379,0.0002888172,0.7671936,0.0001375795,0.00002324375,0.0003539255,0.009043544,0.0002022463,0.00213202,0.009513882,0.0006826477,0.2100398],"study_design_scores_gemma":[0.008762364,0.02434682,0.9073778,0.0001714495,0.00003355739,0.000293397,0.0001156131,0.02735734,0.004459627,0.01530614,0.01117875,0.0005971226],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896033,0.00006820168,0.003508929,0.005662466,0.0002019761,0.0006130913,0.00001034443,0.00003634,0.000295373],"genre_scores_gemma":[0.9959953,0.00008441721,0.001142754,0.002506745,0.00003089109,0.0002176435,0.000001297526,0.0000115955,0.000009368878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2094427,"threshold_uncertainty_score":0.3746437,"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."}}