{"id":"W4285585679","doi":"10.1016/j.ejmp.2022.06.012","title":"Reproducibility and repeatability of magnetic resonance imaging in dementia","year":2022,"lang":"en","type":"article","venue":"Physica Medica","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"","keywords":"Reproducibility; Repeatability; Magnetic resonance imaging; Nuclear medicine; Dementia; Coefficient of variation; Medicine; Radiology; Pathology; Mathematics; Statistics; Disease","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002258528,0.00007807377,0.0002270594,0.00007535942,0.0000666072,0.000003803061,0.00009101356,0.000008258632,0.0007492849],"category_scores_gemma":[0.0006234404,0.00007422394,0.00004308453,0.0003042456,0.0002449911,0.00004832442,0.0003062258,0.0002327048,0.000002036511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004751465,"about_ca_system_score_gemma":0.000113479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001371407,"about_ca_topic_score_gemma":0.000004502019,"domain_scores_codex":[0.998,0.0001966842,0.0002746385,0.0007187614,0.0005833375,0.0002265262],"domain_scores_gemma":[0.9989313,0.00008325194,0.00004959387,0.0007864649,0.0000623235,0.00008707318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001805002,0.000618146,0.8540311,0.00008962984,0.000006594466,0.00002951042,0.0003524903,1.033371e-7,0.004980701,0.0000418761,0.0005098822,0.1391594],"study_design_scores_gemma":[0.001267325,0.0003366131,0.9864835,0.00003488491,0.00004237944,0.00001244941,0.0003934903,0.0002311069,0.002155103,0.0005784985,0.008405184,0.00005949061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876688,0.004366204,0.000007767204,0.002956716,0.00003818415,0.0004547128,0.0000118174,0.00001687532,0.004478906],"genre_scores_gemma":[0.9992929,0.00005828859,0.0001168395,0.0001726345,0.00003376817,0.0001101277,0.00001331324,0.000007720888,0.0001944805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1390999,"threshold_uncertainty_score":0.8204145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01369953705810633,"score_gpt":0.2994077698232626,"score_spread":0.2857082327651563,"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."}}