{"id":"W2560398163","doi":"10.15353/vsnl.v1i1.47","title":"Compensated Diffusion Magnetic Resonance Imaging","year":2015,"lang":"en","type":"article","venue":"Vision Letters","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Waterloo","funders":"","keywords":"Magnetic resonance imaging; Nuclear magnetic resonance; Contrast (vision); Diffusion; Magnetic resonance spectroscopic imaging; Chemistry; Nuclear medicine; Medicine; Physics; Optics; Radiology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001786036,0.0001289122,0.0001933253,0.0001166037,0.00004370917,0.00002550549,0.0001015197,0.00003273925,0.0003054162],"category_scores_gemma":[0.0000556561,0.000111358,0.00005157561,0.0002382008,0.00008098772,0.0000806858,0.000070943,0.0001505617,0.0003498858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001498561,"about_ca_system_score_gemma":0.00003588751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001058548,"about_ca_topic_score_gemma":0.00000313033,"domain_scores_codex":[0.9988065,0.00004526536,0.000198311,0.0002881436,0.0004201348,0.0002416382],"domain_scores_gemma":[0.9992265,0.0000624985,0.00004599789,0.0003732857,0.0000747988,0.0002168795],"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":[0.0001505898,0.00009536718,0.1199138,0.00002141976,0.000002882007,0.0002230172,0.0002695497,0.00001108414,0.06875536,0.00001951482,0.7386118,0.07192566],"study_design_scores_gemma":[0.004073238,0.0002720405,0.2611329,0.0004568069,0.00004680542,0.00009303119,0.00008989538,0.004318601,0.003497905,0.00003471306,0.7257348,0.0002492945],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8722625,0.003259452,0.0002636304,0.1204958,0.0006266516,0.0003385939,0.000004417556,0.0001856635,0.002563234],"genre_scores_gemma":[0.9570128,0.0001806335,0.003330616,0.0386035,0.0002997504,0.00002440043,0.00002106108,0.00004572948,0.0004815081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1412191,"threshold_uncertainty_score":0.4541049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0197667663410591,"score_gpt":0.2906313934388596,"score_spread":0.2708646270978005,"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."}}