{"id":"W2150514180","doi":"10.1002/jmri.21041","title":"Neuro MR: Protocols","year":2007,"lang":"en","type":"review","venue":"Journal of Magnetic Resonance Imaging","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital; University Health Network","funders":"","keywords":"Computer science; Neuroscience; In vivo magnetic resonance spectroscopy; Neuroimaging; Magnetic resonance imaging; Blood–brain barrier; Biomedical engineering; Medicine; Pathology; Medical physics; Central nervous system; Radiology; Biology","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":[0.003141032,0.001631409,0.0008397315,0.003232907,0.001759863,0.003763295,0.004004949,0.002656923,0.2093544],"category_scores_gemma":[0.007727673,0.001044393,0.0006555123,0.002696098,0.001312584,0.003231979,0.003617759,0.002093316,0.2497301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00225135,"about_ca_system_score_gemma":0.003980787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002216127,"about_ca_topic_score_gemma":0.003184209,"domain_scores_codex":[0.9972864,0.0007846036,0.0003336519,0.0003709632,0.001060483,0.0001639734],"domain_scores_gemma":[0.9956287,0.0006727819,0.0002362856,0.001267722,0.001958336,0.0002361126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002032831,0.00009067778,0.0003115015,0.001550551,0.00002764825,0.0002123891,0.0003733703,0.0006858822,0.00440731,0.04657994,0.6911613,0.2543961],"study_design_scores_gemma":[0.00001566698,0.0000244051,0.0001640215,0.0001678247,0.000006786888,0.0002114757,0.00004226916,0.0002188042,0.001712012,0.006215648,0.9912035,0.00001748514],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.003034079,0.01426285,0.185458,0.01298898,0.008927885,0.003925041,0.03632396,0.03178423,0.7032949],"genre_scores_gemma":[0.02643731,0.02226024,0.3061565,0.01485786,0.003526461,0.01164399,0.04735119,0.009915718,0.5578507],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.2093544,"threshold_uncertainty_score":0.7003601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07117921673993809,"score_gpt":0.4449740103247199,"score_spread":0.3737947935847818,"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."}}