{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008755398,0.000132036,0.0001519001,0.0002383538,0.0000942652,0.00003701661,0.00009703141,0.00004139252,0.00004220476],"category_scores_gemma":[0.00001887464,0.0001118869,0.00005013975,0.0004985986,0.00004331589,0.00006407361,0.0000254416,0.0001479803,0.00001183668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005621088,"about_ca_system_score_gemma":0.00003343045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001278366,"about_ca_topic_score_gemma":0.00007371184,"domain_scores_codex":[0.9992192,0.00003711207,0.0002081404,0.0002413737,0.00008338667,0.0002107268],"domain_scores_gemma":[0.999579,0.00002040449,0.00007124343,0.0002509704,0.00004849667,0.00002986031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007868952,0.000771621,0.4184257,0.0001402982,0.0009718571,0.00004073178,0.001782439,0.1332761,0.2850655,0.02155144,0.0121152,0.1250722],"study_design_scores_gemma":[0.004100139,0.0003235362,0.04136184,0.0001888446,0.00007565528,0.000004705281,0.008104903,0.4100238,0.4465938,0.002300035,0.08591653,0.001006225],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952471,0.00003308044,0.0006240627,0.0005290192,0.0001441352,0.0002033238,0.000006875829,0.0001555439,0.003056805],"genre_scores_gemma":[0.997871,0.000003417663,0.0003577536,0.00003256484,0.00003704274,0.00002543587,0.00000285342,0.000009568278,0.001660398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3770639,"threshold_uncertainty_score":0.4562616,"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."}}