{"id":"W2600713729","doi":"10.1007/s12350-017-0855-6","title":"Clinical performance of Rb-82 myocardial perfusion PET and Tc-99m-based SPECT in patients with extreme obesity","year":2017,"lang":"en","type":"article","venue":"Journal of Nuclear Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Nuclear medicine; Coronary artery disease; Positron emission tomography; Myocardial perfusion imaging; Single-photon emission computed tomography; Cardiac PET; Spect imaging; Perfusion; Technetium Tc 99m Sestamibi; Radiology; Internal medicine; Scintigraphy","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":[0.0007891768,0.0001162444,0.0008624686,0.0001206311,0.00008280693,0.00001426711,0.0001097606,0.00007634819,0.00001098006],"category_scores_gemma":[0.0007782137,0.0000856011,0.0002469706,0.00003336585,0.0003363804,0.00008862441,0.00006659554,0.0004384046,0.000004249947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004380241,"about_ca_system_score_gemma":0.000115974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001238774,"about_ca_topic_score_gemma":0.00000123437,"domain_scores_codex":[0.9988413,0.000135909,0.000452281,0.0001491398,0.0002484451,0.0001728562],"domain_scores_gemma":[0.9986692,0.0001680694,0.0004421918,0.0003368933,0.0002551497,0.0001284705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0020064,0.000118943,0.993587,0.00002810173,0.00008227979,0.0002889244,0.00002981823,0.00005897327,0.00004361907,0.000004131132,0.0009221347,0.002829633],"study_design_scores_gemma":[0.006163908,0.002441487,0.9888764,0.0002078522,0.000220524,0.0003396157,0.00002430937,0.0002005662,0.000009766664,0.000004248899,0.001427612,0.00008371886],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976973,0.0001245146,0.00001000573,0.0002991681,0.0005036907,0.0001077125,0.000006025713,0.00000488275,0.0012467],"genre_scores_gemma":[0.9985873,0.0002387029,0.0005241207,0.0001654693,0.000458572,2.505514e-7,0.000002055556,0.00001721437,0.000006327964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004710651,"threshold_uncertainty_score":0.3490711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02134421743069439,"score_gpt":0.2772114987834479,"score_spread":0.2558672813527535,"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."}}