{"id":"W2920645185","doi":"10.1055/a-0828-8654","title":"Whole-Body [18F]-FDG-PET/MRI for Oncology: A Consensus Recommendation","year":2019,"lang":"en","type":"article","venue":"RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Medical physics; Positron emission tomography; Nuclear medicine; Magnetic resonance imaging; Whole body imaging; Radiology","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":[0.02642664,0.001725605,0.003220454,0.005854502,0.001422711,0.004635036,0.007386193,0.01527798,0.009689474],"category_scores_gemma":[0.04868637,0.001366963,0.006665637,0.0040906,0.001621286,0.004504185,0.003329226,0.01036107,0.01603317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006304624,"about_ca_system_score_gemma":0.02274065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01510074,"about_ca_topic_score_gemma":0.01271021,"domain_scores_codex":[0.9789693,0.007236484,0.005469578,0.00135341,0.005547095,0.001424117],"domain_scores_gemma":[0.9437283,0.009360528,0.004236458,0.001289075,0.03859178,0.002793974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002157715,0.0001517407,0.0009141407,0.01473723,0.0003105903,0.0006219652,0.0003889559,0.0006694425,0.001411874,0.003916527,0.7185257,0.2581361],"study_design_scores_gemma":[0.0003171069,0.0001160293,0.001496469,0.03115793,0.0006181333,0.0007411788,0.000392581,0.0002782657,0.000782255,0.004102927,0.9599159,0.00008129446],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.003085706,0.2698212,0.02458898,0.5813534,0.04657239,0.005619518,0.01025678,0.001461972,0.05724011],"genre_scores_gemma":[0.02183,0.452124,0.1564195,0.2534032,0.01564736,0.01275349,0.03620279,0.0008105433,0.05080926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02642664,"threshold_uncertainty_score":0.1397591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03120932356292729,"score_gpt":0.3579284560472634,"score_spread":0.3267191324843361,"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."}}