{"id":"W2909727958","doi":"10.1002/jmri.26652","title":"Multisite reliability and repeatability of an advanced brain MRI protocol","year":2019,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Center for Research Resources; National Institutes of Health; Race to Erase MS","keywords":"Repeatability; Protocol (science); Reliability (semiconductor); Computer science; Medicine; Reliability engineering; Pathology; Mathematics; Physics; Engineering; Statistics","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":[0.0554568,0.0006616029,0.0006371764,0.001254437,0.0006392082,0.001304876,0.0009258254,0.0007869041,0.0009475386],"category_scores_gemma":[0.08801407,0.0005469139,0.0009307913,0.0009446011,0.0009944495,0.0008586535,0.001658001,0.0008233974,0.0005959733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00049345,"about_ca_system_score_gemma":0.001118132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008005606,"about_ca_topic_score_gemma":0.001686658,"domain_scores_codex":[0.9443792,0.03451063,0.006482513,0.005562328,0.008527442,0.0005378814],"domain_scores_gemma":[0.8877435,0.04119423,0.01063744,0.02462897,0.03486603,0.0009298339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005066629,0.001515266,0.5677529,0.001274846,0.002167159,0.0004369618,0.00598148,0.01647724,0.1010554,0.003717886,0.004902725,0.2896516],"study_design_scores_gemma":[0.0004386109,0.009400857,0.8708687,0.0003257444,0.0008077066,0.001879368,0.001040693,0.04775659,0.04746407,0.003951909,0.01578313,0.0002826931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6168115,0.000720431,0.3680724,0.0001838984,0.0003151918,0.005600402,0.0009351774,0.000893402,0.006467702],"genre_scores_gemma":[0.8354105,0.0001257375,0.1575501,0.00008855153,0.00008816046,0.004869707,0.0008420043,0.0002614875,0.000763644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0554568,"threshold_uncertainty_score":0.2932871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01338042353538606,"score_gpt":0.3345857612004367,"score_spread":0.3212053376650507,"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."}}