{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00100469,0.0007085729,0.00115166,0.0003562595,0.0003532997,0.0001377512,0.0004744125,0.0004474311,0.001254573],"category_scores_gemma":[0.0001877643,0.0006639572,0.0005363884,0.000534582,0.0003158931,0.0002443684,0.0002254861,0.000900226,0.0007563381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003342645,"about_ca_system_score_gemma":0.0007169122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001838295,"about_ca_topic_score_gemma":0.00004057582,"domain_scores_codex":[0.9952671,0.0001299981,0.001296788,0.001405244,0.0006703409,0.001230532],"domain_scores_gemma":[0.9963992,0.0005209084,0.0005008042,0.001318613,0.0004852524,0.0007752594],"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":[0.001610915,0.002602713,0.01859289,0.001253666,0.003396273,0.00045831,0.0005279056,0.00003912745,0.06141849,0.008030131,0.6994289,0.2026407],"study_design_scores_gemma":[0.006189285,0.001023385,0.003142133,0.0002503084,0.001653539,0.001349599,0.0002030634,0.007985667,0.01023098,0.002882084,0.9641261,0.0009639162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5984349,0.00266835,0.1016842,0.1886264,0.003387592,0.02276126,0.001550992,0.003980878,0.07690541],"genre_scores_gemma":[0.8965625,0.000321994,0.08913853,0.00599552,0.0008272106,0.0008609545,0.002124695,0.0002479296,0.003920676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2981276,"threshold_uncertainty_score":0.9996584,"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."}}