{"id":"W4212920115","doi":"10.1007/s12149-022-01729-5","title":"Myocardial perfusion quantification with Rb-82 PET: good interobserver agreement of Carimas software on global, regional, and segmental levels","year":2022,"lang":"en","type":"article","venue":"Annals of Nuclear Medicine","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Intraclass correlation; Coronary artery disease; Perfusion; Limits of agreement; Nuclear medicine; Blood flow; Myocardial perfusion imaging; Cardiology; Internal medicine; Radiology","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":[],"consensus_categories":[],"category_scores_codex":[0.0004071022,0.0001535968,0.0004446179,0.0001066421,0.0001011548,0.000004862807,0.00008279328,0.00002696766,0.0003068514],"category_scores_gemma":[0.0001936974,0.0001225237,0.00009394032,0.0002088857,0.0002581563,0.00004284383,0.0001095387,0.0001688273,0.000005269789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005350937,"about_ca_system_score_gemma":0.00005773462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003113957,"about_ca_topic_score_gemma":0.000004133117,"domain_scores_codex":[0.9983769,0.00007327556,0.0003323663,0.0002769618,0.0007730853,0.0001674015],"domain_scores_gemma":[0.9989982,0.0001101988,0.0002056206,0.0003438721,0.0002202125,0.0001218769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.008390552,0.00285546,0.3908889,0.001096235,0.001289517,0.000436806,0.008412127,0.0004662955,0.03049093,0.003853527,0.5076673,0.04415238],"study_design_scores_gemma":[0.005280239,0.008692904,0.9241681,0.001489904,0.0005003928,0.0004288227,0.006051855,0.0001435951,0.0008660737,0.00008713395,0.05202539,0.0002656226],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798437,0.001603491,0.00003588679,0.01655826,0.0001987704,0.0003250659,0.0001240116,0.00003088324,0.001279982],"genre_scores_gemma":[0.9947522,0.0002949229,0.0003558583,0.004285185,0.0001203691,0.000006646162,0.00009581056,0.0000223245,0.00006666723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5332792,"threshold_uncertainty_score":0.4996371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0796767439100744,"score_gpt":0.3251524044829535,"score_spread":0.2454756605728791,"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."}}