{"id":"W2007869180","doi":"10.1016/s0006-8993(01)02805-0","title":"Cortical devascularization: quantitative diffusion weighted magnetic resonance imaging and histological findings","year":2001,"lang":"en","type":"article","venue":"Brain Research","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Effective diffusion coefficient; Lesion; Magnetic resonance imaging; Cresyl violet; Diffusion MRI; Medicine; Pathology; Cortex (anatomy); Edema; Cerebral cortex; Immunohistochemistry; Nuclear medicine; Radiology; Surgery; Internal medicine; Psychology; Neuroscience; Staining","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":[0.0007588157,0.0006428699,0.0003336377,0.002670116,0.0002642419,0.0006438129,0.0005746095,0.0005451239,0.002516413],"category_scores_gemma":[0.003634461,0.0003863834,0.0001698622,0.0009036022,0.001215798,0.001066782,0.0003019371,0.0003024084,0.000587802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002946949,"about_ca_system_score_gemma":0.0002948053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001127262,"about_ca_topic_score_gemma":0.0008924297,"domain_scores_codex":[0.9998041,0.00003826229,0.00002565843,0.00004749509,0.00004817977,0.00003642742],"domain_scores_gemma":[0.9988385,0.0004397677,0.0002710043,0.0001628618,0.0001590763,0.0001288477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003729196,0.0005417696,0.5389948,0.0007037104,0.0002748504,0.1719944,0.00100227,0.0006729333,0.2135444,0.002436898,0.001139953,0.06496473],"study_design_scores_gemma":[0.0001350226,0.0008967184,0.5451291,0.00006606051,0.0002595234,0.3962108,0.001233569,0.002250652,0.04748712,0.003088097,0.003169201,0.00007411244],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851422,0.003142592,0.002993141,0.0002402784,0.00003487268,0.00006138063,0.0002009264,0.00005576652,0.008128794],"genre_scores_gemma":[0.9974898,0.0009365791,0.0007419998,0.00003892711,0.00008902657,0.0000124701,0.00007764767,0.00001395113,0.00059955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002670116,"threshold_uncertainty_score":0.008418262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0770262315444256,"score_gpt":0.3972754904834055,"score_spread":0.3202492589389799,"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."}}