{"id":"W2800955969","doi":"10.1371/journal.pone.0195733","title":"Monitoring for myelopathic progression with multiparametric quantitative MRI","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Cervical and Thoracic Myelopathy","field":"Medicine","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; University of Toronto","funders":"","keywords":"Medicine; Multiparametric MRI; Grey matter; Myelopathy; Atrophy; Magnetic resonance imaging; Fractional anisotropy; Nuclear medicine; Diffusion MRI; Radiology; Internal medicine; White matter; Spinal cord","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":[0.0007800856,0.0004180279,0.0002677071,0.0007395924,0.0001509517,0.000355505,0.0002687541,0.0002911077,0.000845384],"category_scores_gemma":[0.001950235,0.0001354182,0.0002108985,0.000226616,0.0001777804,0.0003334151,0.0002163816,0.000283007,0.0002039439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001823191,"about_ca_system_score_gemma":0.0001462184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004640542,"about_ca_topic_score_gemma":0.0008543533,"domain_scores_codex":[0.9997804,0.00005913872,0.00003135701,0.0000637355,0.00004218617,0.0000232804],"domain_scores_gemma":[0.9990275,0.0001980528,0.0004033078,0.00005565634,0.0002157687,0.00009981387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001045107,0.0002102052,0.9322019,0.0001505992,0.0001295802,0.00043213,0.0001527535,0.0005509878,0.02820653,0.00003140235,0.0003424589,0.03654624],"study_design_scores_gemma":[0.00007219064,0.00216785,0.9752837,0.00007100008,0.0001614729,0.004174856,0.0001350531,0.003596617,0.01345409,0.00009045904,0.0007581508,0.00003459499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944149,0.001537043,0.002667422,0.00005456317,0.00001078163,0.0000630683,0.0002512063,0.0000885841,0.0009123048],"genre_scores_gemma":[0.9974028,0.000219782,0.002001172,0.00002456363,0.00001580497,0.00003211588,0.0001526612,0.000004632922,0.0001463947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000845384,"threshold_uncertainty_score":0.004125535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1058762956699832,"score_gpt":0.346508811264407,"score_spread":0.2406325155944238,"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."}}