{"id":"W1954935548","doi":"","title":"Utility of 18F-FDG PET in evaluating cancers of lung.","year":2005,"lang":"en","type":"article","venue":"PubMed","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen Elizabeth II Health Sciences Centre","funders":"","keywords":"Medicine; Lung cancer; Positron emission tomography; Nuclear medicine; Lung; Pet imaging; Radiology; PET-CT; Pathology; Internal medicine","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":[0.001852674,0.000742763,0.0006379907,0.002625743,0.000361231,0.001236302,0.0008017745,0.001806046,0.003244415],"category_scores_gemma":[0.002260987,0.0002490311,0.0005003655,0.001243949,0.001087941,0.001525148,0.0005942338,0.001080442,0.001834217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005079282,"about_ca_system_score_gemma":0.0004292688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001254978,"about_ca_topic_score_gemma":0.002030127,"domain_scores_codex":[0.9994397,0.000238966,0.00004491609,0.00009003885,0.0001431028,0.00004327955],"domain_scores_gemma":[0.99931,0.0004201694,0.00006376355,0.00003877353,0.0001148904,0.00005250668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004138398,0.0001008345,0.01947862,0.002138671,0.0001144276,0.005573111,0.0001827801,0.0008432969,0.0498324,0.00568354,0.01693065,0.8987078],"study_design_scores_gemma":[0.0001244376,0.001457759,0.06282256,0.002587997,0.0004850307,0.217356,0.0006644198,0.00383907,0.06044024,0.02266106,0.6273208,0.0002406232],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02003549,0.8420481,0.06032423,0.007009325,0.001727424,0.0002364211,0.0005347263,0.0005433915,0.06754088],"genre_scores_gemma":[0.2155872,0.623005,0.1365791,0.00401094,0.002845851,0.0002049019,0.0005573728,0.0001313273,0.01707822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003244415,"threshold_uncertainty_score":0.01085371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0658318396159769,"score_gpt":0.3714545552841872,"score_spread":0.3056227156682104,"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."}}