{"id":"W4237516526","doi":"10.1109/nssmic.2003.1352315","title":"CT acquisition using PET detectors and electronics","year":2003,"lang":"en","type":"article","venue":"2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515)","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"National Institute for Materials Science; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Imaging phantom; Scintillator; Detector; Photon counting; Image resolution; Monochromatic color; Nuclear medicine; Physics; Optics; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001016897,0.0004067066,0.0005118443,0.0003389046,0.0006854833,0.0002737686,0.0004877716,0.0001103763,0.0004512207],"category_scores_gemma":[0.0003450222,0.0003789983,0.00009890306,0.001502291,0.001225112,0.0005076989,0.00006250339,0.0005404835,0.0001902855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004598708,"about_ca_system_score_gemma":0.00142758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001443541,"about_ca_topic_score_gemma":0.00001228701,"domain_scores_codex":[0.9964578,0.0001049233,0.0005457834,0.001038832,0.0007889445,0.001063692],"domain_scores_gemma":[0.9971774,0.00006102256,0.0002439737,0.0008387726,0.0008920142,0.0007867862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000225314,0.000133232,0.0009843688,0.00005971663,0.00001580745,0.00003769878,0.0001305647,0.000004158419,0.9907029,0.002643497,0.001964797,0.003300751],"study_design_scores_gemma":[0.002273726,0.001521916,0.0009640739,0.0008503995,0.0004172268,0.003830401,0.0004401518,0.6899484,0.1945249,0.001352398,0.1019472,0.001929208],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883348,0.00001512199,0.004262682,0.0008057427,0.0007699301,0.0008157459,0.0000128796,0.0003198726,0.004663245],"genre_scores_gemma":[0.8278432,0.001139562,0.1688343,0.001262493,0.0001769838,0.00004369029,0.000005406705,0.00007236547,0.0006220386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.796178,"threshold_uncertainty_score":0.9998662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02337592844175866,"score_gpt":0.2918428804046955,"score_spread":0.2684669519629368,"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."}}