{"id":"W3153277041","doi":"10.1016/j.neuroimage.2021.118046","title":"Temperature dependence and histological correlation of inhomogeneous magnetization transfer and myelin water imaging in ex vivo brain","year":2021,"lang":"en","type":"article","venue":"NeuroImage","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Collaboration On Repair Discoveries; University of British Columbia; University of British Columbia Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Multiple Sclerosis Society of Canada","keywords":"Myelin; Magnetization transfer; Ex vivo; Nuclear magnetic resonance; Chemistry; In vivo; White matter; Relaxation (psychology); Human brain; Analytical Chemistry (journal); Biophysics; Magnetic resonance imaging; Biochemistry; Endocrinology; Central nervous system; Chromatography; In vitro; Biology; Neuroscience; Medicine; Physics","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":[0.00005093851,0.00006851203,0.0001181644,0.00004055093,0.00002532703,0.00000774029,0.00001834184,0.00005018064,0.00005003024],"category_scores_gemma":[0.00004502914,0.00005537327,0.00001443081,0.0000804085,0.0000584119,0.00005637039,0.00002089193,0.0001293013,6.454368e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009948073,"about_ca_system_score_gemma":0.00001252078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005721458,"about_ca_topic_score_gemma":0.00001061229,"domain_scores_codex":[0.9994588,0.00002685943,0.000147405,0.0002104161,0.00006928544,0.00008723088],"domain_scores_gemma":[0.9997662,0.00003254099,0.00001240092,0.0001065475,0.00004818041,0.00003414548],"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":[0.0000239866,0.0000377425,0.007609752,0.00002562966,4.342818e-7,0.000118648,0.0001262814,0.00003250243,0.9852839,0.0002722444,0.00006224598,0.006406665],"study_design_scores_gemma":[0.001791892,0.0002210752,0.1571086,0.0001301518,0.00005546316,0.001767985,0.0001464953,0.007262636,0.8247253,0.001709452,0.004823352,0.0002576883],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679458,0.0005486336,0.02764016,0.003158468,0.00001481717,0.0002245967,0.000006961508,0.00003445956,0.000426163],"genre_scores_gemma":[0.9942322,0.0002531206,0.00456811,0.0005798085,0.00001283434,0.00000957029,0.00002521553,0.000009351217,0.0003097327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1605586,"threshold_uncertainty_score":0.2258056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008919878706927054,"score_gpt":0.256950795627493,"score_spread":0.2480309169205659,"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."}}