{"id":"W1989462236","doi":"10.1002/mrm.21527","title":"High‐resolution myelin water measurements in rat spinal cord","year":2008,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Collaboration On Repair Discoveries; University of British Columbia","funders":"","keywords":"Spinal cord; Myelin; Resolution (logic); Nuclear magnetic resonance; Myelin sheath; Chemistry; Neuroscience; Central nervous system; Biology; Physics; Computer science; Artificial intelligence","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":[0.0002676206,0.0003756523,0.0002052126,0.0003760303,0.0001794602,0.0001575355,0.00018645,0.0002196455,0.0005897619],"category_scores_gemma":[0.0003519459,0.0001502803,0.0001134489,0.0002000499,0.0002679992,0.0003160995,0.0002500458,0.0002473211,0.0001551802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001755287,"about_ca_system_score_gemma":0.0002248205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002334625,"about_ca_topic_score_gemma":0.003442622,"domain_scores_codex":[0.9999362,0.000009415193,0.00000378303,0.00001599689,0.00001802122,0.00001657086],"domain_scores_gemma":[0.9998293,0.00002756538,0.00004588548,0.00001379102,0.00006019867,0.00002320498],"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":[0.00004562168,0.000005935716,0.00009136138,0.00001998034,0.00000232183,0.00001849685,0.00002160926,0.00006934861,0.998705,0.00001938461,0.000008148933,0.0009927567],"study_design_scores_gemma":[0.000006905609,0.0003427696,0.003461867,0.000004821126,0.00001947201,0.0001698499,0.00004959191,0.0008971405,0.9946445,0.00004865117,0.0003486714,0.000005858076],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804441,0.0009073216,0.0178253,0.000032794,0.000005663677,0.0000205065,0.0001588623,0.0001663055,0.000439195],"genre_scores_gemma":[0.9623464,0.00180102,0.0330741,0.00003874937,0.000008231976,0.00008508273,0.0004080377,0.00007931626,0.002159012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002334625,"threshold_uncertainty_score":0.004642129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1232931262490988,"score_gpt":0.3603831665679358,"score_spread":0.237090040318837,"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."}}