{"id":"W2810853974","doi":"10.1016/j.eplepsyres.2018.06.014","title":"Accuracy of an online tool to assess appropriateness for an epilepsy surgery evaluation–A population-based Swedish study","year":2018,"lang":"en","type":"article","venue":"Epilepsy Research","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Stiftelsen för Strategisk Forskning; Health Canada; Alberta Innovates - Health Solutions; University of Calgary","keywords":"Epilepsy; Epilepsy surgery; Medicine; Population; Cohort; Surgery; Physical therapy; Psychiatry; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01381461,0.0003523545,0.0009187684,0.001255022,0.0005507995,0.00014363,0.0005405933,0.0001679784,0.0007325349],"category_scores_gemma":[0.01037368,0.0002945995,0.0002281331,0.001740488,0.0002340015,0.0004803666,0.0001526156,0.0004793731,0.00008466015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004685289,"about_ca_system_score_gemma":0.002481099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001902359,"about_ca_topic_score_gemma":0.002002179,"domain_scores_codex":[0.9909279,0.001933682,0.001042347,0.001164443,0.003701056,0.001230593],"domain_scores_gemma":[0.9874814,0.003157694,0.0001996871,0.001921069,0.006271052,0.0009691436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00500161,0.01183378,0.8670684,0.0002475535,0.0002195923,0.00003632187,0.0004643981,0.00008870625,0.001709169,0.00007453746,0.001521817,0.1117342],"study_design_scores_gemma":[0.005035527,0.01435977,0.9598067,0.0001857758,0.0001376762,0.000007793942,0.001489886,0.01372583,0.003934009,0.0005922474,0.0004052167,0.0003196004],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988231,0.00005673476,0.0004688519,0.0007679548,0.0002725999,0.009625926,0.0002744835,0.00009454771,0.0002078895],"genre_scores_gemma":[0.9878694,0.000009066162,0.005721143,0.0001346472,0.001262997,0.002264238,0.002434204,0.0001037693,0.0002005633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1114146,"threshold_uncertainty_score":0.9999506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3664915590081299,"score_gpt":0.5102363469231423,"score_spread":0.1437447879150125,"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."}}