{"id":"W3131013261","doi":"10.1002/hbm.25375","title":"Classification of multiple sclerosis based on patterns of<scp>CNS</scp>regional atrophy covariance","year":2021,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"H2020 European Research Council; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Multiple sclerosis; White matter; Atrophy; Medicine; Lesion; Pathology; Central nervous system; Central nervous system disease; Grey matter; Internal medicine; Magnetic resonance imaging; Radiology; Immunology","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":[0.0005527647,0.0003308882,0.000297735,0.00209234,0.0003235124,0.0004812993,0.0002913934,0.0002108529,0.001185039],"category_scores_gemma":[0.001388937,0.00006941816,0.0003352175,0.0008674879,0.0003149753,0.000306755,0.0005468154,0.0002288115,0.0003405196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002210837,"about_ca_system_score_gemma":0.0003708859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003115048,"about_ca_topic_score_gemma":0.003195746,"domain_scores_codex":[0.999622,0.00008911363,0.00007474294,0.00005985351,0.0001013834,0.00005287603],"domain_scores_gemma":[0.9991173,0.000131605,0.0003164045,0.00006507147,0.0002075511,0.0001619691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006193955,0.00003796193,0.9764475,0.0000383709,0.0001308187,0.0002445671,0.0001716272,0.0001975488,0.007419432,0.0001080281,0.0003216178,0.01426318],"study_design_scores_gemma":[0.00001223238,0.0001669588,0.9967079,0.00001091159,0.00003544228,0.001128326,0.0001920772,0.0007919333,0.0005444246,0.0001654915,0.0002379284,0.000006380404],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998315,0.0001812479,0.0005020069,0.00002785649,0.000004600761,0.00004341549,0.0001688825,0.00002113842,0.0007359276],"genre_scores_gemma":[0.9987093,0.00004931838,0.0007644421,0.00001042303,0.000004627921,0.00001269383,0.0002964424,0.000004758694,0.0001480125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003115048,"threshold_uncertainty_score":0.006193876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1651174255708537,"score_gpt":0.3185493192289646,"score_spread":0.1534318936581109,"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."}}