{"id":"W2625185831","doi":"10.2967/jnumed.117.191049","title":"Optimization of SPECT Measurement of Myocardial Blood Flow with Corrections for Attenuation, Motion, and Blood Binding Compared with PET","year":2017,"lang":"en","type":"article","venue":"Journal of Nuclear Medicine","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Nuclear medicine; Blood flow; Correction for attenuation; Attenuation; Spect imaging; Positron emission tomography; Chemistry; Physics; Medicine; Radiology; Optics","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":[0.0006673376,0.00009576796,0.0004419577,0.0001459369,0.0001513447,0.000009992974,0.00009832645,0.00002462835,0.00004089756],"category_scores_gemma":[0.0004810651,0.00006038765,0.00004761347,0.00009305384,0.0003099936,0.00008593156,0.00001380838,0.0001405877,1.286087e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002277904,"about_ca_system_score_gemma":0.00007439175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002265553,"about_ca_topic_score_gemma":0.000003510822,"domain_scores_codex":[0.9987975,0.00001923871,0.0004460522,0.000107373,0.0005373447,0.00009253706],"domain_scores_gemma":[0.9978108,0.00004339884,0.0008602119,0.0002425601,0.0009125419,0.0001305058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01209525,0.009433569,0.2625906,0.003759314,0.01127972,0.0003875981,0.007744035,0.008850601,0.5647546,0.003371222,0.09330157,0.0224319],"study_design_scores_gemma":[0.1627348,0.06662813,0.3400574,0.03625911,0.04813114,0.0190513,0.008269838,0.250331,0.05174768,0.0006474514,0.01453025,0.001611916],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7505784,0.0001594322,0.2222241,0.02493011,0.0002015279,0.001060543,0.00001780969,0.00003730133,0.000790783],"genre_scores_gemma":[0.9115942,0.0001181516,0.08792204,0.0000713593,0.0002475457,0.000004564008,0.000006263493,0.0000191512,0.00001671609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5130069,"threshold_uncertainty_score":0.2462537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03741029681995342,"score_gpt":0.2901967365507547,"score_spread":0.2527864397308013,"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."}}