{"id":"W2188536141","doi":"10.82308/33389","title":"Quantitative magnetic resonance imaging of magnetization transfer and T2 relaxation in human white matter pathology","year":2009,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Multiple Sclerosis Society; Natural Sciences and Engineering Research Council of Canada; Multiple Sclerosis Society of Canada","keywords":"Magnetization transfer; Magnetic resonance imaging; White matter; Nuclear magnetic resonance; Medicine; Relaxation (psychology); Pathology; Physics; Radiology; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002292077,0.0005169371,0.0003515198,0.0004513328,0.000164267,0.0009222092,0.0006234953,0.0006226104,0.000614895],"category_scores_gemma":[0.005359541,0.0002318438,0.0003810533,0.0004563744,0.0007321683,0.0008061489,0.0004929025,0.0004333656,0.0002240753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00038433,"about_ca_system_score_gemma":0.0004401988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004792435,"about_ca_topic_score_gemma":0.0003291747,"domain_scores_codex":[0.9992384,0.0003793225,0.00003425431,0.0001326658,0.0001824924,0.00003285003],"domain_scores_gemma":[0.9986802,0.0008179981,0.0001972854,0.000166466,0.0001220789,0.00001600534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000697892,0.0002197452,0.01187364,0.001340825,0.0003073014,0.0005071557,0.0007076327,0.4105317,0.3528741,0.03963751,0.001298694,0.1800038],"study_design_scores_gemma":[0.00009049432,0.001610374,0.02152763,0.0002592478,0.0002352513,0.001322702,0.0002355411,0.7131299,0.2044123,0.04634776,0.01062581,0.0002028449],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.334135,0.006892741,0.6530346,0.0007667732,0.0001422206,0.0001400278,0.0002530144,0.0004877167,0.004147808],"genre_scores_gemma":[0.852363,0.00383564,0.1417478,0.000123506,0.00007870988,0.0001697115,0.0001605645,0.0001087778,0.001412309],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002292077,"threshold_uncertainty_score":0.01212186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01344944710555939,"score_gpt":0.2752012958726353,"score_spread":0.2617518487670759,"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."}}