{"id":"W2918536040","doi":"10.1055/a-0830-4453","title":"Whole-Body [18F]-FDG-PET/MRI for Oncology: A Consensus Recommendation","year":2019,"lang":"en","type":"article","venue":"Nuklearmedizin - NuclearMedicine","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Medical physics; Whole body imaging; Positron emission tomography; Workflow; Magnetic resonance imaging; PET-CT; Standardization; Radiology; Nuclear medicine; Computer science","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":[0.02552054,0.001674575,0.003263934,0.005701497,0.001435283,0.004948223,0.007309923,0.01533816,0.01079973],"category_scores_gemma":[0.04716864,0.001364756,0.00666215,0.003939705,0.001658762,0.004631524,0.003343697,0.01101892,0.01672077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006364773,"about_ca_system_score_gemma":0.02285893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01520777,"about_ca_topic_score_gemma":0.0134243,"domain_scores_codex":[0.9794754,0.007080968,0.00544299,0.001314527,0.005280528,0.001405666],"domain_scores_gemma":[0.9472459,0.009307449,0.004191017,0.001218907,0.03527118,0.002765553],"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":[0.0002278957,0.0001571527,0.00085008,0.01432403,0.0003019125,0.0006246024,0.0003762271,0.0006423052,0.001491403,0.004042064,0.7235631,0.2533993],"study_design_scores_gemma":[0.0003270154,0.0001134631,0.001396575,0.02897487,0.0005801009,0.0007211373,0.0003682154,0.000265501,0.0007535802,0.003920967,0.9624969,0.00008160428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.002919231,0.2704221,0.02283191,0.5835693,0.04203867,0.005484976,0.01044583,0.001402943,0.06088498],"genre_scores_gemma":[0.02032217,0.4517756,0.1504055,0.2624435,0.01417343,0.01205685,0.03664936,0.0007581103,0.05141549],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02552054,"threshold_uncertainty_score":0.1349671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03209462565890027,"score_gpt":0.3703500478099825,"score_spread":0.3382554221510822,"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."}}