{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003264877,0.0001807655,0.0003852478,0.0002370857,0.00005777691,0.000002368623,0.0001385878,0.0000695013,0.0002216889],"category_scores_gemma":[0.0001354821,0.0001313284,0.000029501,0.0003900125,0.0002826595,0.00005185647,0.00004408069,0.0003477047,0.00003700507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001312685,"about_ca_system_score_gemma":0.00003341994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002976231,"about_ca_topic_score_gemma":0.00003668263,"domain_scores_codex":[0.9982151,0.00004680813,0.0005066944,0.0004039576,0.0004354441,0.000391986],"domain_scores_gemma":[0.9993382,0.0000236483,0.00004674222,0.0004239977,0.000074287,0.00009308957],"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":[0.004284688,0.0009964394,0.3619279,0.0002260209,0.000005626558,0.001414018,0.000687206,0.00007198713,0.2236315,0.000758726,0.0236341,0.3823617],"study_design_scores_gemma":[0.007932217,0.004159252,0.802171,0.001469786,0.000032534,0.0005221736,0.00005745186,0.001028872,0.01434285,0.00265648,0.1652596,0.0003677926],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759827,0.006432961,0.001139414,0.01368301,0.0001788134,0.0009898067,0.000001463897,0.0001279463,0.001463852],"genre_scores_gemma":[0.9855815,0.001689048,0.009648074,0.001427705,0.0001968594,0.0001858406,0.00002092721,0.00002685669,0.001223163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4402431,"threshold_uncertainty_score":0.5355416,"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."}}