{"id":"W4413782301","doi":"10.1016/j.nuclcard.2025.102415","title":"Artificial Intelligence-Enabled Gated Parametric Mapping of Fractional Blood Volume with 82Rb PET Improves Biventricular Volumetric and Functional Assessment","year":2025,"lang":"en","type":"article","venue":"Journal of Nuclear Cardiology","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Heart Institute; University of Ottawa; Micropharma (Canada)","funders":"","keywords":"Medicine; Volume (thermodynamics); Nuclear medicine; Parametric statistics; Medical physics; Statistics","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":[0.0005465017,0.0004620446,0.0004570131,0.0003565598,0.0001375274,0.0009717927,0.0004109643,0.0007164631,0.0008752487],"category_scores_gemma":[0.001459495,0.0002200648,0.0003705563,0.000282973,0.0002241209,0.0005017784,0.0004408247,0.0006096965,0.000289052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001451552,"about_ca_system_score_gemma":0.0003134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001110516,"about_ca_topic_score_gemma":0.001392643,"domain_scores_codex":[0.9998548,0.0000556106,0.00000774762,0.00003385341,0.00003319806,0.00001472711],"domain_scores_gemma":[0.999799,0.0001144522,0.00002875883,0.00002102725,0.0000241605,0.00001270273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001017548,0.0003954865,0.007236708,0.0003043384,0.0002511773,0.0005326219,0.0001748255,0.1035055,0.299739,0.003320678,0.002716816,0.5808053],"study_design_scores_gemma":[0.00004461318,0.0003681869,0.01117632,0.00004339818,0.0001303856,0.0008562685,0.00004973511,0.9145978,0.06378383,0.005742925,0.003143499,0.0000629995],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3150278,0.00225392,0.6752801,0.0006750103,0.0001341993,0.00007020414,0.0003037023,0.001963468,0.004291606],"genre_scores_gemma":[0.8698716,0.0006967557,0.1273777,0.0002371039,0.00005794924,0.00004881593,0.0002131103,0.0002143031,0.00128274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001110516,"threshold_uncertainty_score":0.002927959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02134902918265437,"score_gpt":0.289993365245111,"score_spread":0.2686443360624567,"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."}}