{"id":"W2782100267","doi":"10.1371/journal.pone.0189944","title":"Test-retest reliability of myelin imaging in the human spinal cord: Measurement errors versus region- and aging-induced variations","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute; Polytechnique Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Institut de Cardiologie de Montréal; Fondation Institut de Cardiologie de Montréal; Canada Research Chairs; Canadian Institutes of Health Research; Réseau en Bio-Imagerie du Quebec","keywords":"Repeatability; Magnetization transfer; Magnetic resonance imaging; Context (archaeology); White matter; Myelin; Spinal cord; Reliability (semiconductor); Nuclear medicine; Medicine; Biology; Statistics; Central nervous system; Physics; Neuroscience; Mathematics; Internal medicine; Radiology","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":[0.0003695386,0.0000812866,0.0001515044,0.00005662938,0.00009412695,0.000006123669,0.00008727123,0.00002849904,0.000006006216],"category_scores_gemma":[0.0004961827,0.00006462791,0.00002249193,0.0002008514,0.0001293693,0.00004718372,0.00003039973,0.0001444417,0.000001784204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007762599,"about_ca_system_score_gemma":0.00003812682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001404452,"about_ca_topic_score_gemma":0.00004170804,"domain_scores_codex":[0.9991447,0.00002474813,0.0002308,0.0001927741,0.0002811514,0.0001257978],"domain_scores_gemma":[0.9990801,0.0000771921,0.00009781682,0.000409224,0.0002957621,0.00003994863],"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":[0.0004729481,0.005669761,0.1211015,0.0002533566,0.00004570818,0.000009794756,0.001263715,0.000001485712,0.8551055,0.007428139,0.0004099001,0.008238188],"study_design_scores_gemma":[0.006338245,0.00741029,0.7698731,0.002434316,0.001023339,0.00002569268,0.001447628,0.002640211,0.1894062,0.01763177,0.001157755,0.000611479],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844851,0.00006133892,0.004297199,0.0087198,0.00001547284,0.0009212415,0.000003921542,0.0001157294,0.001380126],"genre_scores_gemma":[0.9847409,0.00001536884,0.01489904,0.0001322612,0.00009134099,0.00009338063,0.000003359437,0.00001289439,0.00001145717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6656993,"threshold_uncertainty_score":0.2635449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1516668599115651,"score_gpt":0.3560442809278639,"score_spread":0.2043774210162988,"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."}}