{"id":"W4416363117","doi":"10.3390/s25227062","title":"Improved Edge Pixel Resolution in Modular PET Detectors with Partly Segmented Light Guides","year":2025,"lang":"en","type":"article","venue":"Sensors","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thunder Bay Regional Research Institute; Ontario Institute for Cancer Research; Lakehead University","funders":"Canadian Institutes of Health Research; Mitacs","keywords":"Modular design; Pixel; Detector; Enhanced Data Rates for GSM Evolution; Coordinate system; Resolution (logic); Image resolution; Iterative reconstruction","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":[0.000401258,0.0004392745,0.000347525,0.0004055462,0.0001317214,0.0004498124,0.001032914,0.0005473786,0.0006232127],"category_scores_gemma":[0.0009431338,0.000421707,0.0002946016,0.0004448122,0.0003155584,0.000600672,0.0006628108,0.00034268,0.000282015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004928788,"about_ca_system_score_gemma":0.0003929372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005361856,"about_ca_topic_score_gemma":0.001287446,"domain_scores_codex":[0.9997341,0.00003774761,0.0000128581,0.00007632728,0.0001078652,0.00003103216],"domain_scores_gemma":[0.9988812,0.000334895,0.0002780441,0.0001957397,0.0002430356,0.00006710648],"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":[0.0003895443,0.00004224756,0.002460157,0.0001053261,0.00002820119,0.0001235842,0.00008529857,0.004032941,0.9735321,0.0005727175,0.0002568729,0.01837093],"study_design_scores_gemma":[0.00002652092,0.0003681319,0.006427791,0.00001087709,0.00003443212,0.0004786314,0.00002290065,0.03074016,0.9589524,0.0001796698,0.002730812,0.00002765203],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8540708,0.0006014512,0.1426374,0.00005848027,0.00001924093,0.00004056504,0.0001765651,0.001458808,0.0009365766],"genre_scores_gemma":[0.680196,0.0002246536,0.3174787,0.00007985399,0.00001391188,0.00006170697,0.0004154165,0.0001807318,0.001349078],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001032914,"threshold_uncertainty_score":0.003576159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005239453539372432,"score_gpt":0.2216754413396312,"score_spread":0.2164359878002588,"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."}}