{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006689564,0.000596877,0.0005509763,0.0004181134,0.0001742746,0.000612259,0.001535188,0.0006871262,0.009215089],"category_scores_gemma":[0.001592279,0.0004730129,0.0003256981,0.00036932,0.0002441239,0.0006318104,0.0005668065,0.0006145425,0.002180926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006978542,"about_ca_system_score_gemma":0.0009349025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001356537,"about_ca_topic_score_gemma":0.001155343,"domain_scores_codex":[0.9997004,0.00007157479,0.00002583259,0.00005138022,0.0001219256,0.00002892093],"domain_scores_gemma":[0.9991404,0.0003392545,0.00005157308,0.0001235212,0.0002570365,0.00008816625],"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":[0.004559475,0.0008575167,0.01128392,0.001222482,0.000317546,0.002283897,0.0005803797,0.3830153,0.3544742,0.01805688,0.04042325,0.1829251],"study_design_scores_gemma":[0.0006262995,0.001020942,0.003930446,0.00005445057,0.0001437535,0.001832288,0.00005189564,0.7130543,0.1821573,0.001976024,0.09502824,0.0001240905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.150169,0.0004954935,0.8025772,0.0003616982,0.0001273987,0.001656704,0.005597961,0.02816936,0.01084525],"genre_scores_gemma":[0.6166638,0.0009635963,0.3473392,0.0005657478,0.0000408983,0.002441626,0.008167049,0.003410143,0.02040792],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009215089,"threshold_uncertainty_score":0.03082752,"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."}}