{"id":"W2018148349","doi":"10.7224/1537-2073-14.3.105","title":"Use of Magnetic Resonance Imaging as Well as Clinical Disease Activity in the Clinical Classification of Multiple Sclerosis and Assessment of Its Course","year":2012,"lang":"en","type":"article","venue":"International Journal of MS Care","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; University of British Columbia Hospital; Foothills Medical Centre","funders":"","keywords":"Medicine; Multiple sclerosis; Subclinical infection; Magnetic resonance imaging; Clinical disease; Disease; Categorization; Pathology; Radiology; Immunology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.001776955,0.0001000642,0.0003958882,0.0001398661,0.0000210577,0.0000141573,0.0002509895,0.00004961697,0.00005458892],"category_scores_gemma":[0.003960091,0.00007013611,0.0002171778,0.00009830965,0.0003341147,0.0002851322,0.0001168593,0.0004313444,0.000001884698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007755428,"about_ca_system_score_gemma":0.0003171004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007710744,"about_ca_topic_score_gemma":0.00002569111,"domain_scores_codex":[0.9971191,0.0004545135,0.001006862,0.0001355633,0.001140989,0.0001429177],"domain_scores_gemma":[0.9955086,0.001885968,0.0007434037,0.0001995474,0.001500324,0.0001621693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001186276,0.001042111,0.926979,0.00006710141,0.00007025283,0.00001183441,0.0003329868,0.000005278546,0.005779127,0.00006140302,0.0003219026,0.06414274],"study_design_scores_gemma":[0.002437628,0.0003704991,0.9919074,0.000776502,0.00008973159,0.000011946,0.0008919369,0.00114609,0.0006765097,0.000007168304,0.001634408,0.0000501484],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922944,0.004710479,0.0000299452,0.002121597,0.0002859217,0.000265523,0.00006591395,0.000001899044,0.0002242954],"genre_scores_gemma":[0.9927576,0.006094944,0.0007634903,0.0001037865,0.0002411701,0.00000632756,0.000005155706,0.000009053481,0.00001851539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06492845,"threshold_uncertainty_score":0.4740885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2352143226090314,"score_gpt":0.4812642374045006,"score_spread":0.2460499147954691,"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."}}