{"id":"W2158193712","doi":"10.4103/0972-2327.61269","title":"Epilepsy: The future scenario","year":2010,"lang":"en","type":"article","venue":"Annals of Indian Academy of Neurology","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Epilepsy; Data science; Psychiatry; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003524497,0.0001227555,0.0003281138,0.0001205345,0.00005484153,0.000003020003,0.0002584977,0.0003120817,0.0002852498],"category_scores_gemma":[0.0001329462,0.00007545499,0.0001538561,0.000180647,0.0004795718,0.00004036747,0.00004809094,0.001237834,0.00005340824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001269284,"about_ca_system_score_gemma":0.00008487871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001970353,"about_ca_topic_score_gemma":0.00001892209,"domain_scores_codex":[0.9987795,0.00009423192,0.0002923836,0.0002097396,0.0002571605,0.0003669925],"domain_scores_gemma":[0.9991458,0.0001934512,0.0001512352,0.00024332,0.00006978121,0.000196435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002706118,0.00101933,0.817493,0.0002592557,0.0005535968,0.0003462996,0.0008600463,0.000004040684,0.03503794,0.01118451,0.068509,0.06202687],"study_design_scores_gemma":[0.0008242786,0.001604398,0.8616002,0.00001217408,0.0000251995,0.0002807624,0.00002179849,0.000007181197,0.03727087,0.001826423,0.09646206,0.00006464078],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7803887,0.0004420369,2.168294e-7,0.2174303,0.0001027153,0.0002434651,0.00001219964,0.00001117726,0.001369239],"genre_scores_gemma":[0.9842592,0.001029671,0.00004039117,0.01405658,0.0004354709,0.00001264979,0.000005515494,0.00001462826,0.000145827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2038706,"threshold_uncertainty_score":0.5377842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04237107800189645,"score_gpt":0.355701064176326,"score_spread":0.3133299861744296,"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."}}