{"id":"W1965738837","doi":"10.1016/j.nicl.2014.08.003","title":"Cellular correlates of longitudinal diffusion tensor imaging of axonal degeneration following hypoxic–ischemic cerebral infarction in neonatal rats","year":2014,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"National Research Council Canada; Canadian Institutes of Health Research; Alberta Innovates - Health Solutions; Heart and Stroke Foundation of Canada","keywords":"Cerebral peduncle; Diffusion MRI; Fractional anisotropy; Wallerian degeneration; Pathology; Cerebral cortex; Neuroscience; Medicine; Corpus callosum; Ischemia; Anatomy; Internal capsule; Biology; White matter; Cardiology; Magnetic resonance imaging","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":[0.000216065,0.0004292025,0.0003324917,0.0006651353,0.0001445984,0.0001999137,0.0001881344,0.0001792493,0.0007711327],"category_scores_gemma":[0.0002458444,0.0002018354,0.0002016707,0.0001839292,0.0004595731,0.0002874142,0.0002321953,0.0006510933,0.0001707816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004373907,"about_ca_system_score_gemma":0.0003659124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002396366,"about_ca_topic_score_gemma":0.003225994,"domain_scores_codex":[0.9998732,0.000009560596,0.00001242818,0.0000363269,0.00002809951,0.00004043606],"domain_scores_gemma":[0.9995548,0.00002209451,0.0002352082,0.00003155628,0.00005804884,0.00009830084],"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":[0.0006688873,0.00007807897,0.002386451,0.00005739065,0.00001529884,0.0001992661,0.00009990949,0.00007915522,0.9945149,0.00007771517,0.00003148751,0.001791417],"study_design_scores_gemma":[0.0000316845,0.001835654,0.1879171,0.00002499637,0.00008781069,0.0006434746,0.000331536,0.0006610655,0.807649,0.000162463,0.0006275066,0.00002761174],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979157,0.0008078156,0.0006035009,0.00003567041,0.00001209503,0.0000139204,0.0002503086,0.00002793794,0.0003331013],"genre_scores_gemma":[0.9943884,0.001570588,0.001249612,0.00003403961,0.00001039356,0.0000900015,0.0005961299,0.00001553725,0.002045228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002396366,"threshold_uncertainty_score":0.004764795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06090999590492471,"score_gpt":0.3620996991850905,"score_spread":0.3011897032801658,"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."}}