{"id":"W7133014677","doi":"","title":"Blood-Pool Stress MRI as a Tool for Identifying Early Biomarkers of Diabetic Heart Failure with Preserved Ejection Fraction","year":2023,"lang":"","type":"dissertation","venue":"TSpace","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; Toronto Rehabilitation Institute; University of Toronto","funders":"","keywords":"Heart failure; Heart failure with preserved ejection fraction; Ejection fraction; Skeletal muscle; Perfusion; Heart disease; Microcirculation; Cardiac function curve; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009898555,0.0006553693,0.0003160251,0.0008137582,0.0001890588,0.0007704073,0.0004357674,0.001046542,0.001022623],"category_scores_gemma":[0.0007406122,0.0002487923,0.0002635233,0.0002572433,0.0004148617,0.0007438383,0.0004749833,0.0006563835,0.000392831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001410738,"about_ca_system_score_gemma":0.0001956825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002246788,"about_ca_topic_score_gemma":0.0002971494,"domain_scores_codex":[0.9998131,0.0000843252,0.000008165244,0.00003538229,0.00002968384,0.00002932713],"domain_scores_gemma":[0.9996793,0.0001129144,0.00006668596,0.00002930967,0.00005310947,0.00005862586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008226609,0.0002252002,0.01091848,0.0005915326,0.00007323777,0.001007174,0.000134273,0.0004742435,0.9305046,0.001022461,0.001608179,0.05261799],"study_design_scores_gemma":[0.0001909946,0.005640509,0.09403603,0.0007560572,0.0008839196,0.01303252,0.0004348554,0.0288297,0.8272613,0.003574794,0.02509683,0.0002624161],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8004689,0.05626966,0.1263074,0.003884558,0.0008046113,0.0003086643,0.0006151573,0.00109257,0.01024834],"genre_scores_gemma":[0.8992873,0.01786712,0.07697126,0.002110034,0.0009338426,0.00026463,0.0003115517,0.00009550849,0.002158734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001046542,"threshold_uncertainty_score":0.005234897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01834876102966341,"score_gpt":0.3341459714109347,"score_spread":0.3157972103812712,"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."}}