{"id":"W2067527174","doi":"10.1016/j.neuroimage.2012.10.059","title":"Segmentation of magnetization transfer ratio lesions for longitudinal analysis of demyelination and remyelination in multiple sclerosis","year":2012,"lang":"en","type":"article","venue":"NeuroImage","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Multiple Sclerosis Scientific Research Foundation","keywords":"Remyelination; Multiple sclerosis; Magnetic resonance imaging; Magnetization transfer; Medicine; Nuclear medicine; Clinical trial; Radiology; Pathology; Internal medicine; Myelin; Central nervous system","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":[0.0004763699,0.00009617418,0.0003131808,0.0006570833,0.00005472043,0.000006734559,0.00003338571,0.00004994582,0.00002539869],"category_scores_gemma":[0.0008083963,0.00009218988,0.00009084423,0.0008167591,0.00008370002,0.0002574025,0.00001923027,0.00006580422,4.181212e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004158831,"about_ca_system_score_gemma":0.00001866943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006319143,"about_ca_topic_score_gemma":0.0001476933,"domain_scores_codex":[0.998842,0.00008597704,0.0004165751,0.0001892805,0.0002963678,0.0001697893],"domain_scores_gemma":[0.9990751,0.0003494063,0.00008387132,0.0001295988,0.0003039671,0.00005806288],"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":[0.0001663983,0.0002080122,0.4888842,0.0001574418,0.00007795867,1.112807e-7,0.0007708579,0.0002509778,0.4953994,0.00007047068,0.0000175875,0.01399662],"study_design_scores_gemma":[0.001670748,0.0001667762,0.8932232,0.00004350549,0.0004134942,3.364086e-7,0.0001807267,0.03780498,0.06642871,0.000004151203,0.000008940378,0.00005441438],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9521124,0.0001852599,0.04648826,0.0002329708,0.00003545753,0.0008226621,0.00006495042,0.00001133195,0.00004672471],"genre_scores_gemma":[0.9953867,0.0005327531,0.003758215,0.00001780156,0.00002966227,0.00007583455,0.000168277,0.00001208391,0.00001869364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4289707,"threshold_uncertainty_score":0.3759394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1463060567269508,"score_gpt":0.3473183957919421,"score_spread":0.2010123390649913,"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."}}