{"id":"W2538934754","doi":"10.1109/nssmic.2004.1466679","title":"Experimental Results of Identification and Vector Quantization Algorithms for DOI Measurement in Digital PET Scanners with Phoswich Detectors","year":2005,"lang":"en","type":"article","venue":"IEEE Symposium Conference Record Nuclear Science 2004.","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Physics; Lyso-; Detector; Photon; Quantization (signal processing); Algorithm; Optics; Noise (video); Computer science; Electronic engineering; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005426852,0.0001213614,0.0001908166,0.000197859,0.0001000071,0.00009976263,0.0001771796,0.00003496376,0.00001021248],"category_scores_gemma":[0.0001124811,0.0001034267,0.00002770125,0.0004345365,0.0004946144,0.0003981343,0.00002242513,0.00009241085,0.000004287509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001953466,"about_ca_system_score_gemma":0.000252263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001077558,"about_ca_topic_score_gemma":0.000028782,"domain_scores_codex":[0.9984242,0.000009089496,0.0003773704,0.0004253288,0.0005236077,0.0002404436],"domain_scores_gemma":[0.9989905,0.00002236004,0.0001675653,0.0002604985,0.0004005737,0.0001585513],"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":[0.0002265018,0.0002330668,0.0006706487,0.00003167972,0.000006040073,0.000001138865,0.0004063252,0.00001627594,0.9853193,0.0002752147,0.0002862984,0.01252747],"study_design_scores_gemma":[0.003441042,0.001464014,0.005164586,0.0006240802,0.00005006346,0.00006438662,0.0008530834,0.2795781,0.704597,0.00007100265,0.00366694,0.0004257046],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877061,0.00001349716,0.008843181,0.002050806,0.0000794338,0.0008111711,0.00001886019,0.00006668354,0.0004102697],"genre_scores_gemma":[0.9779777,0.000025839,0.02177802,0.00004652342,0.00004203063,0.00005311898,0.000006040868,0.00001478383,0.00005594935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2807223,"threshold_uncertainty_score":0.4217618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03476296461866638,"score_gpt":0.3022525548155481,"score_spread":0.2674895901968817,"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."}}