{"id":"W3006512435","doi":"10.1002/ana.25705","title":"Validation of Rapid Magnetic Resonance Myelin Imaging in Multiple Sclerosis","year":2020,"lang":"en","type":"article","venue":"Annals of Neurology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Center for Innovative Medicine; Stockholms Läns Landsting; Karolinska Institutet; Svenska Sällskapet för Medicinsk Forskning","keywords":"Magnetic resonance imaging; Multiple sclerosis; Nuclear magnetic resonance; Myelin; Medicine; Neuroscience; Psychology; Radiology; Physics; Internal medicine; Central nervous system; Psychiatry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009870032,0.0007146509,0.0003795519,0.0008964886,0.0003815992,0.000577821,0.0004587555,0.0007195405,0.0006539991],"category_scores_gemma":[0.01427102,0.0002657791,0.0004447139,0.0004015423,0.0007975344,0.0004501862,0.0007566841,0.0003714782,0.0003167916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001894371,"about_ca_system_score_gemma":0.0003040194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006101708,"about_ca_topic_score_gemma":0.0004887666,"domain_scores_codex":[0.9953081,0.002229472,0.0003505345,0.001032791,0.0009062766,0.0001729443],"domain_scores_gemma":[0.9904537,0.00417264,0.002095873,0.001165595,0.001922356,0.0001898937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004356543,0.0003461032,0.2533661,0.0005649112,0.000633119,0.0005753092,0.0009329587,0.003298815,0.6702784,0.0004420636,0.0003142858,0.06489138],"study_design_scores_gemma":[0.0001616082,0.009393684,0.6164975,0.0001292168,0.0004896644,0.005341129,0.0002792359,0.01029229,0.3524565,0.0006550766,0.004212162,0.00009192725],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863353,0.001449651,0.0112614,0.00004528044,0.00002654948,0.00008539096,0.0001875387,0.00007434073,0.000534483],"genre_scores_gemma":[0.991836,0.0002569547,0.007257949,0.00004390689,0.00002530992,0.00006341685,0.0003012395,0.00002376776,0.0001914278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009870032,"threshold_uncertainty_score":0.05219835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2057942302893924,"score_gpt":0.3424710815113549,"score_spread":0.1366768512219625,"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."}}