{"id":"W1976550807","doi":"10.1016/j.nima.2006.10.115","title":"Digital signal processing applied to crystal identification in Positron Emission Tomography dedicated to small animals","year":2006,"lang":"en","type":"article","venue":"Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Lyso-; Detector; Scintillator; Physics; Optics; Avalanche photodiode; Positron emission tomography; Preamplifier; SIGNAL (programming language); Energy (signal processing); Image resolution; Computer science; Optoelectronics; CMOS; Nuclear medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001045083,0.0002543127,0.0003290965,0.001109806,0.0003653795,0.0006827289,0.0001681825,0.0001292759,0.00003736683],"category_scores_gemma":[0.0000296659,0.0002556793,0.00006094921,0.002313174,0.00008031908,0.0002563336,0.0001809818,0.0005199439,0.000002908828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004175628,"about_ca_system_score_gemma":0.00003603651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002588839,"about_ca_topic_score_gemma":0.00002523472,"domain_scores_codex":[0.997592,0.0002076638,0.0005266311,0.0006405865,0.0004301429,0.0006029877],"domain_scores_gemma":[0.999328,0.00006820837,0.0001577594,0.0001477597,0.00009764173,0.0002006639],"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":[0.0001066481,0.0002558195,0.03969114,0.00001615259,0.00003933907,8.681794e-7,0.0005552922,0.0001165253,0.5048912,0.0002288999,0.00004552757,0.4540526],"study_design_scores_gemma":[0.004895314,0.001874515,0.422573,0.000390455,0.00004482585,0.000003489923,0.008175598,0.01563573,0.5239711,0.01738757,0.003222177,0.001826167],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951348,0.00001484264,0.002785771,0.0001002127,0.00008103241,0.0007286886,0.00001574201,0.00009287665,0.001046006],"genre_scores_gemma":[0.9967698,0.000006747795,0.002938881,0.00002496876,0.00009252987,0.00007554993,0.000008633087,0.00003611877,0.00004670886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4522265,"threshold_uncertainty_score":0.9999896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02872522226246627,"score_gpt":0.3366820680651977,"score_spread":0.3079568458027315,"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."}}