{"id":"W2560747712","doi":"10.1002/epi4.12034","title":"Diagnostic accuracy between readers for identifying electrographic seizures in critically ill adults","year":2016,"lang":"en","type":"article","venue":"Epilepsia Open","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre","funders":"GE Healthcare","keywords":"Status epilepticus; Electroencephalography; Coma (optics); Critically ill; Psychology; Level of consciousness; Epilepsy; Diagnostic accuracy; Audiology; partial seizures; Medicine; Anesthesia; Psychiatry; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0005721104,0.0002292223,0.0005178401,0.0002640027,0.0001183504,0.0001145836,0.000433577,0.0001190746,0.0002242166],"category_scores_gemma":[0.01064571,0.0001526042,0.000157986,0.0003740467,0.0001326991,0.0004019214,0.00017525,0.0001974579,0.0001430983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001485969,"about_ca_system_score_gemma":0.000209158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003722725,"about_ca_topic_score_gemma":0.0003027769,"domain_scores_codex":[0.9977067,0.0001187955,0.0004465829,0.0005611819,0.0003031541,0.0008636114],"domain_scores_gemma":[0.9943618,0.004304365,0.0000688346,0.0004833833,0.0003796202,0.0004019821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001395581,0.0004880895,0.8795381,0.0002139386,0.0002804359,0.0003927431,0.0003032502,1.147498e-7,0.00108329,0.001224932,0.008886947,0.1061925],"study_design_scores_gemma":[0.01140458,0.001863961,0.9673323,0.001906734,0.0001452107,0.00003830666,0.0002760185,0.000009087862,0.003550835,0.006151708,0.007015678,0.0003055921],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9451519,0.0007341989,0.00188131,0.04346376,0.000106906,0.006446443,0.0001533999,0.0001020451,0.001960047],"genre_scores_gemma":[0.9929406,0.0006656694,0.003484609,0.001014892,0.000203877,0.001088176,0.000115061,0.00005023034,0.0004368895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.105887,"threshold_uncertainty_score":0.9976881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0621251785188275,"score_gpt":0.3919660049032838,"score_spread":0.3298408263844563,"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."}}