{"id":"W4289859826","doi":"10.1016/b978-0-12-822960-6.00103-4","title":"Hybrid System: PET/CT","year":2022,"lang":"en","type":"book-chapter","venue":"Nuclear Medicine and Molecular Imaging","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Women's College Hospital; Sinai Health System; University Health Network; Toronto General Hospital","funders":"","keywords":"Correction for attenuation; Medical physics; PET-CT; Computer science; Attenuation; Positron emission tomography; Medicine; Nuclear medicine; Radiology; Physics","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002829481,0.0003648274,0.000672158,0.0002561212,0.0001937102,0.00002006043,0.0001716739,0.00001547089,0.003012529],"category_scores_gemma":[0.00005926415,0.0003215461,0.0001527481,0.00003849698,0.0003675944,0.00003655501,0.0002379759,0.0008965938,0.00005706929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001283164,"about_ca_system_score_gemma":0.00006910877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007578997,"about_ca_topic_score_gemma":1.180346e-7,"domain_scores_codex":[0.9980733,0.00001892085,0.0004240971,0.0005864462,0.0006165221,0.0002806821],"domain_scores_gemma":[0.9986724,0.00003455478,0.0001795482,0.0006663798,0.00008012143,0.000367039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002770445,0.00003115257,0.00001031692,0.000889993,0.0001556445,0.02609764,0.00005579905,8.677929e-8,0.004233492,0.5194147,0.4398113,0.009272189],"study_design_scores_gemma":[0.000649836,0.0001037902,0.000002095019,0.001327448,0.0006321807,0.01752288,0.00009840255,0.0007051752,0.00003936305,0.001762615,0.9768853,0.0002708977],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0003737643,0.003060854,0.0004203049,0.04293896,0.0001693331,0.0006988295,0.00002007603,0.0005965813,0.9517213],"genre_scores_gemma":[0.4731126,0.01056394,0.05427779,0.1778858,0.002682806,0.0003417708,0.002092852,0.00237648,0.276666],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6750553,"threshold_uncertainty_score":0.9999236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01472015566551857,"score_gpt":0.2693420540900727,"score_spread":0.2546218984245541,"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."}}