{"id":"W2030793265","doi":"10.4103/0972-2327.112442","title":"Hot-water epilepsy","year":2013,"lang":"en","type":"article","venue":"Annals of Indian Academy of Neurology","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Bench to bedside; Epilepsy; Data science; Intensive care medicine; Medical physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009245745,0.0005396321,0.0004482229,0.0004820213,0.0006663821,0.00052873,0.0003500111,0.0007824163,0.01793409],"category_scores_gemma":[0.0005034303,0.00009431743,0.0004067033,0.0005499332,0.0004766778,0.001120211,0.0005589955,0.001449554,0.006966141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005927577,"about_ca_system_score_gemma":0.0005596037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001631658,"about_ca_topic_score_gemma":0.003489254,"domain_scores_codex":[0.9998738,0.00001122168,0.00001237323,0.00003165063,0.00002729709,0.00004371621],"domain_scores_gemma":[0.9998776,0.00001741787,0.00002570259,0.00001166418,0.00002155954,0.00004605697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003664419,0.0001556158,0.018883,0.001088299,0.0001210089,0.3123829,0.0005810583,0.0002429758,0.007845864,0.0218128,0.2021246,0.4343954],"study_design_scores_gemma":[0.00004730751,0.0001361711,0.01544431,0.0005292209,0.00005477947,0.7592204,0.0003953166,0.0002247887,0.0015334,0.01240228,0.2099526,0.00005938294],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.126606,0.3189519,0.01724535,0.0501371,0.01062481,0.0004587336,0.002669798,0.001225079,0.4720812],"genre_scores_gemma":[0.6781297,0.1091821,0.004762362,0.04326904,0.006970929,0.0001692825,0.001982738,0.0002882261,0.1552457],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01793409,"threshold_uncertainty_score":0.05999547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06505862771107794,"score_gpt":0.3521904047059032,"score_spread":0.2871317769948253,"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."}}