{"id":"W1551155942","doi":"10.1016/j.msard.2015.05.009","title":"Neurologists׳ accuracy in predicting cognitive impairment in multiple sclerosis","year":2015,"lang":"en","type":"article","venue":"Multiple Sclerosis and Related Disorders","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"Multiple Sclerosis Society; Multiple Sclerosis Society of Canada","keywords":"Multiple sclerosis; Medicine; Cognitive impairment; Cognition; Physical medicine and rehabilitation; Psychiatry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001205283,0.0005347912,0.0008617697,0.0007116506,0.0002384301,0.00008085917,0.0002050775,0.0003925294,0.00004705127],"category_scores_gemma":[0.007751945,0.0004649884,0.0001889206,0.001193883,0.000599799,0.0003784604,0.0004302593,0.001131927,0.00004329299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002801784,"about_ca_system_score_gemma":0.0001602932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004467925,"about_ca_topic_score_gemma":0.004503245,"domain_scores_codex":[0.9956099,0.0003836925,0.001031824,0.001060753,0.0007545748,0.001159275],"domain_scores_gemma":[0.997108,0.001478944,0.0002306687,0.0003924679,0.0002051606,0.0005847972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001521048,0.001223305,0.9570152,0.00009414134,0.0001314974,0.00002807167,0.004058935,0.0006109261,0.002496491,0.00000360063,0.0002428181,0.03257397],"study_design_scores_gemma":[0.02773827,0.0007804072,0.9302762,0.001124805,0.00005747971,0.000008922497,0.005162875,0.03394417,0.0002846599,0.00004888463,0.000150816,0.0004225051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908069,0.002715502,0.00001886456,0.0023989,0.0002525125,0.002386084,0.0000535476,0.000186936,0.001180727],"genre_scores_gemma":[0.9901637,0.008692775,0.0002323717,0.0002485646,0.00004622241,0.0004003562,0.00007583907,0.00007811138,0.00006207144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03333324,"threshold_uncertainty_score":0.9997802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08852712692423444,"score_gpt":0.2958466182721283,"score_spread":0.2073194913478939,"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."}}