{"id":"W2906242579","doi":"10.1016/j.msard.2018.12.030","title":"MRI utilization during the diagnostic and post-diagnostic phases in multiple sclerosis","year":2018,"lang":"en","type":"article","venue":"Multiple Sclerosis and Related Disorders","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; University of Saskatchewan; Memorial University of Newfoundland; University of Manitoba; Manitoba Health; University of British Columbia; Dalhousie University; University of British Columbia Hospital","funders":"Crohn's and Colitis Canada; Multiple Sclerosis Society of Canada; Canadian Institutes of Health Research; Saskatchewan Health Research Foundation; Multiple Sclerosis Scientific Research Foundation; National Multiple Sclerosis Society; Research Manitoba; Dalhousie Medical Research Foundation","keywords":"Medicine; Multiple sclerosis; Diagnostic test; Magnetic resonance imaging; Radiology; Pathology; Pediatrics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009563345,0.0002014362,0.0003049457,0.001817389,0.0004443552,0.0008476203,0.0003587737,0.0005619727,0.001373954],"category_scores_gemma":[0.005917152,0.0002067428,0.0002330832,0.001283007,0.0002496744,0.0006618315,0.0004681437,0.00046495,0.0002745518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006292933,"about_ca_system_score_gemma":0.0008245528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01350309,"about_ca_topic_score_gemma":0.01675395,"domain_scores_codex":[0.9993508,0.000233126,0.00007629475,0.0000605745,0.0000815304,0.0001977565],"domain_scores_gemma":[0.9980527,0.0005555552,0.000649781,0.00005087394,0.0003653284,0.0003257431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002127086,0.0002983016,0.9762627,0.0001777258,0.00007338415,0.0008301168,0.001396151,0.00007522204,0.00179273,0.000103823,0.0003588687,0.01650366],"study_design_scores_gemma":[0.000008063483,0.0003733792,0.9955237,0.00006586852,0.00006371411,0.0009375256,0.001575639,0.00007526109,0.0005558799,0.00004355803,0.0007671567,0.00001024188],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948486,0.003242834,0.0000463437,0.0001418587,0.00001410442,0.000008346899,0.0001803717,0.000002742606,0.001514772],"genre_scores_gemma":[0.9978604,0.001466991,0.00007389383,0.00004157217,0.00002557187,0.000008672036,0.0001625876,0.000002562334,0.0003577775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01350309,"threshold_uncertainty_score":0.02684903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05201002689049272,"score_gpt":0.2760604602712338,"score_spread":0.224050433380741,"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."}}