{"id":"W2530547764","doi":"10.1161/circimaging.116.005593","title":"Magnetic Resonance Diffusion Tensor Imaging Provides New Insights Into the Microstructural Alterations in Dilated Cardiomyopathy","year":2016,"lang":"en","type":"letter","venue":"Circulation Cardiovascular Imaging","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; Engineering and Physical Sciences Research Council","keywords":"Medicine; Magnetic resonance imaging; Dilated cardiomyopathy; Diffusion MRI; Cardiomyopathy; Cardiac magnetic resonance; Heart failure; Nuclear magnetic resonance; Cardiology; Radiology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006881803,0.0008675905,0.001510976,0.0008970887,0.0005362486,0.0003364683,0.0003527197,0.000448174,0.00008660907],"category_scores_gemma":[0.0002928298,0.0005882407,0.00333476,0.0009332555,0.0003213392,0.0004519178,0.0001855325,0.001883287,0.00009925111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008611488,"about_ca_system_score_gemma":0.0004983246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001355998,"about_ca_topic_score_gemma":0.00002763822,"domain_scores_codex":[0.9942982,0.0007210325,0.001015048,0.001487122,0.001635071,0.0008435908],"domain_scores_gemma":[0.996564,0.0001654031,0.0002315845,0.002357105,0.0004803133,0.0002016374],"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":[0.0001121416,0.00002556242,0.235521,0.0004009299,0.001613912,0.002962718,0.003638917,0.0007937268,0.003406221,0.00001472239,0.1369722,0.614538],"study_design_scores_gemma":[0.00253902,0.00001054555,0.2382497,0.0007007277,0.001255082,0.00106472,0.0001215308,0.001992247,0.00008179336,0.0001335128,0.7531943,0.0006568864],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08190513,0.4158866,0.0184638,0.4655912,0.007461204,0.007849513,0.00005491129,0.001049744,0.001737905],"genre_scores_gemma":[0.7924893,0.004397049,0.0007364866,0.1730383,0.02295727,0.0003929363,0.001825231,0.0007376047,0.003425749],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7105842,"threshold_uncertainty_score":0.9996569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008734406634236207,"score_gpt":0.2174446557790957,"score_spread":0.2087102491448595,"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."}}