{"id":"W2546354034","doi":"10.1109/tns.2013.2293426","title":"Modeling of Single Photon Avalanche Diode Array Detectors for PET Applications","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Nuclear Science","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Detector; Scintillator; Physics; Photon; Single-photon avalanche diode; Avalanche photodiode; Silicon photomultiplier; Monte Carlo method; Photodetector; Diode; Photon counting; Energy (signal processing); Optics; Particle detector; Electronic engineering; Optoelectronics; Engineering","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":[0.0002330916,0.0007037427,0.0006204377,0.000359624,0.0003839984,0.0007661515,0.001740844,0.001431905,0.00314822],"category_scores_gemma":[0.000645049,0.0004687656,0.0008951375,0.0004508467,0.0003572612,0.0006544458,0.00032414,0.0006341681,0.0005722056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001173588,"about_ca_system_score_gemma":0.001100736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005991372,"about_ca_topic_score_gemma":0.003081679,"domain_scores_codex":[0.9998206,0.00003727394,0.000008191918,0.00003862655,0.00006962739,0.00002564668],"domain_scores_gemma":[0.9997869,0.0001019385,0.0000240279,0.00002376011,0.00004936519,0.00001401415],"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":[0.00001486133,0.00001649536,0.0003089467,0.00002834996,0.00001005104,0.00006682072,0.00002074337,0.9899671,0.004019926,0.00382793,0.0001816076,0.001537209],"study_design_scores_gemma":[0.000004522761,0.00001112199,0.00010766,0.000002973228,0.000004357468,0.0000217786,0.000003342179,0.9972107,0.001033914,0.0008529788,0.0007422458,0.000004376112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1095509,0.0008835195,0.8613254,0.0004778872,0.0001228638,0.0002511046,0.001252122,0.001198465,0.02493768],"genre_scores_gemma":[0.8692568,0.00110456,0.1076404,0.0001820344,0.00004280494,0.0008255997,0.0007459557,0.0003138184,0.01988803],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005991372,"threshold_uncertainty_score":0.011913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01541588172715085,"score_gpt":0.2450159085167035,"score_spread":0.2296000267895527,"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."}}