{"id":"W4405355854","doi":"10.1016/j.jocmr.2024.101134","title":"Assessing microvascular dysfunction and predicting long-term prognosis in patients with cardiac amyloidosis by cardiovascular magnetic resonance quantitative stress perfusion","year":2024,"lang":"en","type":"article","venue":"Journal of Cardiovascular Magnetic Resonance","topic":"Amyloidosis: Diagnosis, Treatment, Outcomes","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Circle Cardiovascular Imaging","funders":"Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Medicine; Angiology; Cardiology; Internal medicine; Cardiac amyloidosis; Amyloidosis; Perfusion; Cardiac magnetic resonance; Term (time); Radiology; Pathology; Magnetic resonance imaging","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001432746,0.0006682212,0.001309923,0.0003355035,0.0001879435,0.0003985466,0.0003685308,0.0003390486,0.00001298207],"category_scores_gemma":[0.0002337247,0.0005646698,0.001628643,0.000637177,0.0002826585,0.0001597285,0.0002005001,0.0005211231,0.000003911067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002061944,"about_ca_system_score_gemma":0.000196809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008836499,"about_ca_topic_score_gemma":0.00001273912,"domain_scores_codex":[0.9950076,0.0007260618,0.0009492576,0.001146284,0.001492701,0.0006781204],"domain_scores_gemma":[0.9980502,0.000119172,0.0002324177,0.00085002,0.0005191225,0.0002290798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001979206,0.000213184,0.6355954,0.0002469811,0.001498754,0.0001686739,0.0001455047,0.0002080342,0.0009156019,0.000002368021,0.0001906222,0.3606169],"study_design_scores_gemma":[0.003943325,0.002086049,0.935861,0.00168647,0.002340451,0.0001080217,0.0002067553,0.00008369592,0.007764156,0.000003964453,0.04523109,0.0006850542],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5239808,0.4748373,0.0002796911,0.00003032722,0.0002639749,0.0005288275,0.00003753663,0.00001654119,0.00002500158],"genre_scores_gemma":[0.8956615,0.1018086,0.001809322,0.00003286556,0.0002722979,0.0001360641,0.00006623756,0.0001389504,0.00007422494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3730288,"threshold_uncertainty_score":0.9996805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006797946348462851,"score_gpt":0.2304984639706756,"score_spread":0.2237005176222128,"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."}}