{"id":"W4324128674","doi":"10.1002/mp.16360","title":"Simulation studies of a full‐ring, CZT SPECT system for whole‐body imaging of <sup>99m</sup>Tc and <sup>177</sup>Lu","year":2023,"lang":"en","type":"article","venue":"Medical Physics","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"Nuclear Physics; National Heart, Lung, and Blood Institute; Office of Science; National Institute of Biomedical Imaging and Bioengineering; U.S. Department of Energy","keywords":"Cadmium zinc telluride; Collimator; Detector; Physics; Spect imaging; Single-photon emission computed tomography; Imaging phantom; Monte Carlo method; Correction for attenuation; Iterative reconstruction; Image resolution; Sensitivity (control systems); Optics; Emission computed tomography; Scanner; Medical imaging; Nuclear medicine; Medical physics; Attenuation; Positron emission tomography; Computer science; Artificial intelligence; Medicine; Mathematics","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":[0.0002925611,0.0003799184,0.000413846,0.0002891429,0.0004193664,0.0006890991,0.0006721017,0.001314402,0.002754994],"category_scores_gemma":[0.0009496793,0.0002918026,0.0004779472,0.0003860824,0.0004329525,0.0002976981,0.000396074,0.0003530066,0.000197774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000988879,"about_ca_system_score_gemma":0.001014449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0191097,"about_ca_topic_score_gemma":0.01136333,"domain_scores_codex":[0.9998968,0.00002928931,0.000004836159,0.00001565201,0.00002898946,0.00002441311],"domain_scores_gemma":[0.9993082,0.0004516702,0.00006110441,0.00002145945,0.0001067553,0.00005078824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001405037,0.00005481949,0.002028368,0.00004654822,0.00001942994,0.0002219283,0.00004877555,0.9927013,0.002886133,0.0005356704,0.0002667016,0.001049849],"study_design_scores_gemma":[0.00004359895,0.00008533289,0.0007418668,0.000004690016,0.00001323089,0.00003777564,0.00003479444,0.9974031,0.001219148,0.0001295128,0.0002797195,0.000007221297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.967729,0.0003357764,0.02063848,0.0003414862,0.00003307181,0.00008540331,0.000732428,0.0002936287,0.009810794],"genre_scores_gemma":[0.9930958,0.0001002182,0.004596565,0.0000459489,0.000003030375,0.00004627167,0.0002149485,0.00003114756,0.001865844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0191097,"threshold_uncertainty_score":0.03799695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04372698330213908,"score_gpt":0.3652150601916542,"score_spread":0.3214880768895151,"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."}}