{"id":"W4387519905","doi":"10.1016/j.nicl.2023.103529","title":"Impact of follow ups, time interval and study duration in diffusion & myelin MRI clinical study in MS","year":2023,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Philips (Canada); Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; CARE Canada; Q & T Research; Hôpital Fleurimont; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Centre Hospitalier Universitaire de Québec; Université de Sherbrooke","keywords":"Multiple sclerosis; Duration (music); Diffusion MRI; Medicine; White matter; Interval (graph theory); Confidence interval; Confounding; Affect (linguistics); Clinically isolated syndrome; Neurology; Internal medicine; Cardiology; Magnetic resonance imaging; Psychology; Radiology; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002112486,0.0002139205,0.0008263442,0.0002900086,0.00003778084,0.00001836681,0.0001807871,0.0001178306,0.00003435579],"category_scores_gemma":[0.002314293,0.0001806406,0.0002185717,0.0008225541,0.0001628314,0.0001089021,0.0003301157,0.0008760562,0.00005533359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003307611,"about_ca_system_score_gemma":0.00007804991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001066292,"about_ca_topic_score_gemma":0.0001378811,"domain_scores_codex":[0.9961567,0.0005931213,0.001890431,0.0008121283,0.0002794457,0.0002681989],"domain_scores_gemma":[0.9976216,0.001105166,0.0002715869,0.0007647218,0.00008035528,0.0001565764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005873337,0.006139343,0.9842042,0.000009892439,0.00001731478,0.0001950061,0.0001670803,0.00000718364,0.0008843666,0.000002016339,0.0008624038,0.006923852],"study_design_scores_gemma":[0.005129783,0.004567234,0.9865993,0.0000549239,0.00005240805,0.0000137411,0.00008409884,0.003058499,0.000004138227,0.000119269,0.000191967,0.0001246453],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967152,0.000008463623,0.0001724999,0.0006193658,0.00009115245,0.002114714,0.00001346852,0.000188468,0.00007667622],"genre_scores_gemma":[0.9984353,0.0001845702,0.0007791904,0.0001311292,0.0001126829,0.0000705502,0.00003084122,0.00004260843,0.0002131568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006799206,"threshold_uncertainty_score":0.736631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.212553186826201,"score_gpt":0.5221445582839719,"score_spread":0.3095913714577709,"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."}}