{"id":"W2967676857","doi":"10.1111/jon.12659","title":"Myelin Water Fraction and Intra/Extracellular Water Geometric Mean T<sub>2</sub>Normative Atlases for the Cervical Spinal Cord from 3T MRI","year":2019,"lang":"en","type":"article","venue":"Journal of Neuroimaging","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Philips (Canada); Simon Fraser University; International Collaboration On Repair Discoveries; University of British Columbia","funders":"Canadian Institutes of Health Research; International Collaboration on Repair Discoveries; National Institute for Health and Care Research; Natural Sciences and Engineering Research Council of Canada; Multiple Sclerosis Society of Canada","keywords":"Medicine; Spinal cord; Multiple sclerosis; Myelin; Population; Anatomy; Nuclear medicine; Central nervous system; Internal medicine","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":[0.002574738,0.0006842297,0.0003924636,0.00362874,0.0007114351,0.0019524,0.0009927531,0.0006307806,0.003176792],"category_scores_gemma":[0.005773107,0.0003128132,0.0005564221,0.00159275,0.0008705835,0.000886271,0.0008525898,0.0004860073,0.000747433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009865961,"about_ca_system_score_gemma":0.001276084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006415476,"about_ca_topic_score_gemma":0.01120669,"domain_scores_codex":[0.9989868,0.0002210527,0.0001626454,0.0002228535,0.0003596151,0.00004693037],"domain_scores_gemma":[0.9982858,0.0003755137,0.0004254754,0.0003628897,0.0004987569,0.00005153998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001964213,0.0003029398,0.1134908,0.001952846,0.0007958986,0.003058008,0.00517396,0.05259494,0.3268951,0.04480535,0.03831111,0.4106548],"study_design_scores_gemma":[0.0001905431,0.0008850556,0.5104547,0.0006022221,0.0004873935,0.01362177,0.00229181,0.1541741,0.1782747,0.05375139,0.08467655,0.0005898182],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4198062,0.001291898,0.5474939,0.0005059009,0.0001620488,0.0006586412,0.01075483,0.007418556,0.01190803],"genre_scores_gemma":[0.6867239,0.0005661031,0.2983725,0.0001705197,0.00005243416,0.001553477,0.008844945,0.002016703,0.001699317],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006415476,"threshold_uncertainty_score":0.01361668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04186393742645254,"score_gpt":0.3185741754846216,"score_spread":0.2767102380581691,"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."}}