{"id":"W4282841736","doi":"10.1177/15357597221096017","title":"Time Is Brain: The Importance of an Accurate <i>SCN1A</i> Prediction Score in the Era of Precision Medicine","year":2022,"lang":"en","type":"letter","venue":"Epiliepsy currents/Epilepsy currents","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Precision medicine; Data science; Medical physics; Computer science; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005417021,0.0005367105,0.001508422,0.0005475137,0.001886711,0.002947197,0.001286426,0.02716808,0.004683712],"category_scores_gemma":[0.03128901,0.0003828295,0.0008456599,0.0004807638,0.002722039,0.003638245,0.0008037393,0.03041679,0.005051071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003622625,"about_ca_system_score_gemma":0.003010681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005777471,"about_ca_topic_score_gemma":0.01043914,"domain_scores_codex":[0.9970765,0.0009641335,0.0003999149,0.0004880398,0.0008403582,0.0002310406],"domain_scores_gemma":[0.9780555,0.01543412,0.0007735686,0.0005961862,0.003404251,0.001736262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001956314,0.00003961287,0.00192629,0.00005539555,0.00003990071,0.002363527,0.00009730754,0.0002166572,0.0004698663,0.005965806,0.9371409,0.05148908],"study_design_scores_gemma":[0.000477595,0.0003128434,0.006105307,0.001001906,0.0001193635,0.01053964,0.0006640726,0.004085131,0.001127207,0.1070116,0.8683107,0.0002446434],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004588656,0.001089707,0.0002848285,0.9884511,0.007768939,0.000004742899,0.00006042072,0.00003374524,0.001847718],"genre_scores_gemma":[0.009092429,0.001869613,0.001185671,0.9107265,0.07369419,0.00002360833,0.00005689616,0.00005608522,0.003295009],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02716808,"threshold_uncertainty_score":0.02864826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01973398443582719,"score_gpt":0.2816483017425014,"score_spread":0.2619143173066742,"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."}}