{"id":"W4399508726","doi":"10.1101/2024.06.08.24308645","title":"Clinical Utility of Neurophysiologic Classification (and Declassification) of Myoclonus","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Glycogen Storage Diseases and Myoclonus","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Myoclonus; Cohort; Medicine; Neuroscience; Psychology; 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":[],"consensus_categories":[],"category_scores_codex":[0.0005141504,0.0002431994,0.0008372912,0.0001372313,0.00002260887,0.000009758862,0.0001891646,0.0003599051,0.00008643292],"category_scores_gemma":[0.0006084922,0.0001952321,0.0004365052,0.0001729039,0.0004420512,0.0000147416,0.0004578389,0.0006771029,0.00002434156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001579535,"about_ca_system_score_gemma":0.0003200914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003633686,"about_ca_topic_score_gemma":0.000001624354,"domain_scores_codex":[0.9975582,0.0001779218,0.001081102,0.0007128275,0.0003080768,0.000161894],"domain_scores_gemma":[0.9977679,0.0001828018,0.0005116329,0.001011475,0.0003344847,0.0001917211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001605015,0.00214858,0.8098445,0.01402703,0.0009752861,0.0007311621,0.0002898319,0.000006496709,0.08855515,0.004613476,0.002180509,0.07502299],"study_design_scores_gemma":[0.0003703138,0.0002174728,0.9909237,0.0003566313,0.00076467,0.00003456793,0.00004744735,0.002561423,0.0009282366,0.002422033,0.001230063,0.0001434257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936314,0.003034034,0.00007332989,0.0004878654,0.0007855176,0.0005727339,0.000119111,0.00006510512,0.001230883],"genre_scores_gemma":[0.9975621,0.001202673,0.0005995312,0.00007631401,0.0001832793,0.00003857367,0.0001116165,0.0000308277,0.0001951399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1810792,"threshold_uncertainty_score":0.7961334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09037778068818808,"score_gpt":0.3666124580757854,"score_spread":0.2762346773875973,"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."}}