{"id":"W2506617203","doi":"10.1385/0-89603-116-0:265","title":"NMR Imaging of the Central Nervous System","year":2003,"lang":"en","type":"book-chapter","venue":"Humana Press eBooks","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Positron emission tomography; Magnetic resonance imaging; Single-photon emission computed tomography; Nuclear medicine; Nuclear magnetic resonance; Emission computed tomography; Medical physics; Neuroimaging; Functional imaging; Computed tomography; Medicine; Radiology; Physics; Neuroscience; Psychology","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":[0.0001696586,0.0004527166,0.0003113974,0.0008292585,0.0002305496,0.0006479649,0.0004810931,0.0006037499,0.01187855],"category_scores_gemma":[0.0002303553,0.0001601483,0.0001290818,0.0005674062,0.0005891827,0.001101949,0.0004164647,0.0005676984,0.008728691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003137274,"about_ca_system_score_gemma":0.0003456188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003941809,"about_ca_topic_score_gemma":0.0009059297,"domain_scores_codex":[0.9999409,0.000007757048,0.00000189929,0.000012937,0.00003120285,0.000005335476],"domain_scores_gemma":[0.9999198,0.00002943806,0.000005239124,0.000007361573,0.0000256064,0.00001259931],"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":[0.00006604157,0.00003157755,0.0001540896,0.001040701,0.00001368854,0.0004447095,0.00022652,0.0008846356,0.04630426,0.07230193,0.1074702,0.7710617],"study_design_scores_gemma":[0.000004528151,0.00004202929,0.0004216155,0.0002747744,0.000006925709,0.001715472,0.00005195833,0.0006254414,0.005937204,0.01992386,0.9709836,0.00001264435],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006625496,0.436832,0.04710408,0.003073038,0.003482195,0.00005343614,0.0003011655,0.001036646,0.5014918],"genre_scores_gemma":[0.04174324,0.3537331,0.05001134,0.002118435,0.003266258,0.00006039937,0.0003392411,0.0001771213,0.5485509],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01187855,"threshold_uncertainty_score":0.0397377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04063223675099038,"score_gpt":0.2764890970846707,"score_spread":0.2358568603336804,"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."}}