{"id":"W4399176846","doi":"10.1177/08465371241255903","title":"Current Applications of PET/MR: Part I: Technical Basics and Preclinical/Clinical Applications","year":2024,"lang":"en","type":"review","venue":"Canadian Association of Radiologists Journal","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Western University; Lawson Health Research Institute; Sinai Health System; Women's College Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Positron emission tomography; Medical physics; Head and neck; Magnetic resonance imaging; Correction for attenuation; Modality (human–computer interaction); Radiation therapy; Radiology; Clinical Practice; Radiation treatment planning; PET-CT; Nuclear medicine; Artificial intelligence; Computer science; Surgery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004189942,0.001434974,0.001155715,0.001762245,0.0004029812,0.00305614,0.00128591,0.00270447,0.004989466],"category_scores_gemma":[0.002486096,0.0007484954,0.000978895,0.001429124,0.001468325,0.003449446,0.0009918795,0.002096511,0.0046624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001258059,"about_ca_system_score_gemma":0.001576686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005941287,"about_ca_topic_score_gemma":0.0003740067,"domain_scores_codex":[0.9987389,0.0003314028,0.0001564851,0.0002218869,0.0004004743,0.0001508506],"domain_scores_gemma":[0.9980929,0.0008139533,0.0002629672,0.0001093102,0.0005906501,0.0001302391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003604041,0.0002058242,0.001448856,0.01940625,0.00009822472,0.0005080582,0.0002390628,0.0007532833,0.06561568,0.01198488,0.03113608,0.8682435],"study_design_scores_gemma":[0.00004440578,0.000944766,0.00343459,0.003688875,0.0002449788,0.004724141,0.0002456663,0.0009245445,0.0412337,0.00918981,0.9352088,0.0001156135],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001963069,0.9782529,0.007138621,0.003554251,0.0007728899,0.00007776405,0.000115419,0.0001505967,0.007974477],"genre_scores_gemma":[0.01265399,0.9733762,0.006999287,0.001846752,0.002264708,0.0001418054,0.0002837362,0.00004644171,0.002386988],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004989466,"threshold_uncertainty_score":0.0221588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1011447357214457,"score_gpt":0.4556442604181864,"score_spread":0.3544995246967407,"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."}}