{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009612316,0.0004420693,0.0004737387,0.0009060976,0.0002841967,0.0005884977,0.0004650679,0.0006228568,0.0004136553],"category_scores_gemma":[0.02704722,0.0002195117,0.000473452,0.0004399899,0.0007424619,0.0004728815,0.000621495,0.000347445,0.0002553268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002772882,"about_ca_system_score_gemma":0.0002967341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00114655,"about_ca_topic_score_gemma":0.001906462,"domain_scores_codex":[0.9955165,0.001896124,0.0004112472,0.001006069,0.001081888,0.00008829615],"domain_scores_gemma":[0.9817166,0.01040743,0.002564856,0.002459617,0.002674114,0.0001774112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001871253,0.0002222125,0.8514993,0.0004586854,0.002179562,0.0001364411,0.002171523,0.008065224,0.05126489,0.0003643011,0.0004484691,0.08131818],"study_design_scores_gemma":[0.0000286223,0.001489588,0.9667366,0.00004015984,0.0003302949,0.0005406924,0.0003124099,0.01427295,0.01486773,0.0005373434,0.0007909269,0.00005278206],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751242,0.001137684,0.02280678,0.0000319871,0.00003966742,0.00007292692,0.0001909426,0.0001351746,0.0004607779],"genre_scores_gemma":[0.993964,0.00008175078,0.005493555,0.00001491211,0.00001726794,0.00004690865,0.0001878991,0.00002968462,0.0001640399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009612316,"threshold_uncertainty_score":0.05083543,"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."}}