{"id":"W2580446812","doi":"10.1016/j.carj.2016.10.001","title":"Diffusion-Weighted Imaging of the Brain: Beyond Stroke","year":2017,"lang":"en","type":"article","venue":"Canadian Association of Radiologists Journal","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen Elizabeth II Health Sciences Centre; University of Toronto","funders":"","keywords":"Medicine; Diffusion MRI; Magnetic resonance imaging; Diffusion imaging; Effective diffusion coefficient; Stroke (engine); Diffusion; Radiology; Contrast (vision); Diffusion-Weighted Magnetic Resonance Imaging; Neuroimaging; Nuclear magnetic resonance; 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":[0.000870588,0.0006076006,0.001207155,0.002869255,0.000437642,0.00175631,0.0008309999,0.002241814,0.002282899],"category_scores_gemma":[0.002141479,0.0002292163,0.0004511274,0.002134342,0.002485197,0.004032411,0.00105592,0.003254308,0.001673919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001838704,"about_ca_system_score_gemma":0.003005064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008043587,"about_ca_topic_score_gemma":0.008264028,"domain_scores_codex":[0.9996148,0.00008841479,0.00005987147,0.00005114231,0.000137638,0.00004813226],"domain_scores_gemma":[0.9984034,0.0005097485,0.0001847793,0.00006367685,0.0006130589,0.0002252575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001594531,0.00007130559,0.003563131,0.009183247,0.0001723956,0.003522913,0.0007948434,0.0004757731,0.006205553,0.03799875,0.1127968,0.8250559],"study_design_scores_gemma":[0.00001810772,0.0001296623,0.00904355,0.007786182,0.00009719909,0.01746273,0.0008529225,0.0003936514,0.001331543,0.05957392,0.9032243,0.0000863456],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009039251,0.976948,0.001514642,0.01507368,0.001227749,0.000009079165,0.00004333807,0.00003409683,0.004245461],"genre_scores_gemma":[0.01352625,0.9700439,0.002049107,0.005681967,0.005389898,0.00001395941,0.00006743422,0.00002202381,0.003205404],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008043587,"threshold_uncertainty_score":0.01599354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01289849655861812,"score_gpt":0.2708670884215289,"score_spread":0.2579685918629108,"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."}}