{"id":"W3028258638","doi":"10.1111/epi.16526","title":"Psychosocial profiles and their predictors in epilepsy using patient‐reported outcomes and machine learning","year":2020,"lang":"en","type":"article","venue":"Epilepsia","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services; Hotchkiss Brain Institute; University of Calgary","funders":"","keywords":"Psychosocial; Relative risk; Medicine; Population; Confidence interval; Epilepsy; Psychiatry; Quality of life (healthcare); Psychology; Physical therapy; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00291778,0.0004390971,0.0005397517,0.001633804,0.0003045892,0.0008474652,0.0003837195,0.0005065993,0.001058598],"category_scores_gemma":[0.01084769,0.0001465475,0.0006456631,0.001088986,0.0003867176,0.0005154956,0.000692129,0.0008943365,0.0002045036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003927285,"about_ca_system_score_gemma":0.0004950343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002495205,"about_ca_topic_score_gemma":0.002054159,"domain_scores_codex":[0.998628,0.0007541011,0.00013066,0.0002058138,0.0001759041,0.0001054701],"domain_scores_gemma":[0.9935712,0.00388413,0.001545961,0.0003054763,0.0003386801,0.0003547496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001480205,0.00009650218,0.9917961,0.00001262884,0.0001283725,0.00002244778,0.0000383449,0.00142354,0.00007292526,0.00003286388,0.0001130655,0.006115192],"study_design_scores_gemma":[0.00002138432,0.0002534507,0.9555735,0.00002464061,0.00005715476,0.0001652059,0.000174855,0.04284481,0.0001690163,0.0005070145,0.0001930372,0.00001591341],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996322,0.000140167,0.002547453,0.0001799571,0.00000942611,0.00003142201,0.0004169704,0.00002136686,0.0003312823],"genre_scores_gemma":[0.9986572,0.00003087768,0.0008623222,0.0000146739,0.000009520055,0.0000220665,0.0003607275,0.000002076578,0.00004056163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00291778,"threshold_uncertainty_score":0.01543087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04365577028679781,"score_gpt":0.3026222494728943,"score_spread":0.2589664791860965,"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."}}