{"id":"W838115849","doi":"10.1016/j.neuroimage.2015.06.038","title":"In vivo mapping of human spinal cord microstructure at 300 mT/m","year":2015,"lang":"en","type":"article","venue":"NeuroImage","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Mental Health; National Institutes of Health; Multiple Sclerosis Society of Canada; National Multiple Sclerosis Society","keywords":"Spinal cord; White matter; Axon; Anatomy; Diffusion MRI; Neuroscience; Biology; Magnetic resonance imaging; 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":[0.0001188504,0.0001089681,0.00009979109,0.0003649573,0.0002318725,0.0003609949,0.00015143,0.0005002472,0.0027891],"category_scores_gemma":[0.0004349482,0.000153681,0.0000694126,0.0002354317,0.0002368899,0.0003079608,0.0001743105,0.0002576023,0.0003870366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000134474,"about_ca_system_score_gemma":0.0002719292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002432648,"about_ca_topic_score_gemma":0.003444703,"domain_scores_codex":[0.9999753,0.000004669744,0.000001502126,0.00000467341,0.000007835488,0.000005936621],"domain_scores_gemma":[0.9999182,0.00003425454,0.000009030745,0.000009208773,0.00001922604,0.00001008746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001117924,0.0001269701,0.002285141,0.0001534888,0.00002346505,0.0005502751,0.0002590303,0.001627823,0.9687782,0.0009549203,0.001150763,0.02297199],"study_design_scores_gemma":[0.0002481314,0.002011574,0.2356292,0.0001136923,0.0001681805,0.009445746,0.0007285737,0.01878338,0.719753,0.004666564,0.008388083,0.00006382753],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9537237,0.001692073,0.03420924,0.0006738792,0.00003611402,0.0000956403,0.0008205525,0.000381233,0.008367657],"genre_scores_gemma":[0.988947,0.0006263906,0.007410441,0.000112899,0.00002182753,0.00003206075,0.0001531874,0.00004115198,0.002655138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0027891,"threshold_uncertainty_score":0.009330511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1100764881132524,"score_gpt":0.3873458700136662,"score_spread":0.2772693819004137,"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."}}