{"id":"W4238501617","doi":"10.1109/nssmic.1992.301103","title":"A PET camera simulator with multispectral acquisition capabilities","year":2003,"lang":"en","type":"article","venue":"IEEE Conference on Nuclear Science Symposium and Medical Imaging","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Detector; Avalanche photodiode; Data acquisition; Multispectral image; Computer science; Calibration; Energy (signal processing); Eclipse; Photodiode; Histogram; Scanner; Computer vision; Computer hardware; Artificial intelligence; Physics; Computer graphics (images); Optics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006027822,0.0001846477,0.0002479499,0.000143506,0.0003356667,0.0001340654,0.0001997276,0.00004092773,0.0004849749],"category_scores_gemma":[0.0002217411,0.0001327362,0.00003836161,0.0003113911,0.002374476,0.0002293649,0.00003171345,0.000372412,0.00002717609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007402547,"about_ca_system_score_gemma":0.0005178357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005045221,"about_ca_topic_score_gemma":0.000001831552,"domain_scores_codex":[0.9977564,0.00003738241,0.0002219698,0.0005495932,0.0009624219,0.0004722768],"domain_scores_gemma":[0.9984912,0.00006646485,0.00005760859,0.0003513951,0.0001937927,0.0008395582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003040093,0.001419412,0.01180454,0.0003569513,0.00005284919,0.0009491367,0.003761939,0.00002727738,0.6627959,0.2868148,0.005164046,0.02654919],"study_design_scores_gemma":[0.00681742,0.001652358,0.005775064,0.003147522,0.000242835,0.006515737,0.004899433,0.9077317,0.03498933,0.002794162,0.0238152,0.001619252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9581628,0.000017019,0.002069095,0.02602486,0.0001391062,0.0004068155,0.000003460019,0.0002573318,0.01291947],"genre_scores_gemma":[0.9888227,0.0001072317,0.006814979,0.003982505,0.00006568672,0.00002210382,0.0000011401,0.00002010751,0.0001635312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9077044,"threshold_uncertainty_score":0.8748857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01238632606600992,"score_gpt":0.2893568446815808,"score_spread":0.2769705186155709,"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."}}