{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000532399,0.0006725066,0.0005339317,0.0006645911,0.0002583064,0.0008609031,0.0007585717,0.0007566289,0.01274533],"category_scores_gemma":[0.001748276,0.0006097921,0.0002807271,0.0008703285,0.0002531503,0.0005788744,0.0006502632,0.0006433495,0.003429365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003185588,"about_ca_system_score_gemma":0.000535766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007185137,"about_ca_topic_score_gemma":0.0007160928,"domain_scores_codex":[0.9997151,0.00005014663,0.00004078619,0.00008563582,0.00008431717,0.00002392288],"domain_scores_gemma":[0.999353,0.0002627748,0.00004265902,0.0001035868,0.0002043398,0.00003365421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009770951,0.0001207329,0.006165363,0.0007111102,0.0001100123,0.001490509,0.00009709362,0.003784224,0.8160151,0.003211894,0.006197556,0.1611193],"study_design_scores_gemma":[0.0003708205,0.001185541,0.017019,0.0002629178,0.0004317791,0.01160042,0.0001156391,0.03879755,0.8166266,0.002864625,0.1105899,0.0001352162],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08555176,0.002229639,0.8701842,0.0007458302,0.0003030499,0.001306297,0.003500301,0.005104203,0.03107476],"genre_scores_gemma":[0.2907423,0.00306875,0.6843601,0.001268616,0.000175144,0.00151675,0.00281723,0.0008031248,0.01524804],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01274533,"threshold_uncertainty_score":0.04263735,"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."}}