{"id":"W2052421975","doi":"10.1118/1.3182185","title":"SU‐GG‐BRC‐09: CT Detection of Primary and Metastatic Lesions with a Nano‐Agent in Rabbits: Validation with FDG‐PET","year":2009,"lang":"en","type":"article","venue":"Medical Physics","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Nuclear medicine; Iohexol; Gadolinium; PET-CT; Sarcoma; Radiology; Positron emission tomography; Pathology; Chemistry; 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":[0.001487928,0.0005372569,0.0004964295,0.0004941887,0.0001477415,0.0005306765,0.0004377407,0.0007796235,0.0006853715],"category_scores_gemma":[0.001026585,0.0004312235,0.0002400757,0.0002258556,0.0005708876,0.0004852678,0.0002100895,0.0005820345,0.000639465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003972936,"about_ca_system_score_gemma":0.0002500539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008909905,"about_ca_topic_score_gemma":0.0007351292,"domain_scores_codex":[0.999478,0.0001581839,0.00004561521,0.0001343157,0.0001272795,0.00005659261],"domain_scores_gemma":[0.9994181,0.0001343825,0.0001612072,0.0001183538,0.00009805502,0.00006991209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006310005,0.0001568158,0.001006527,0.00004498649,0.0000101063,0.00006581336,0.00003247004,0.0001323791,0.9961007,0.00004051092,0.00002962033,0.00174917],"study_design_scores_gemma":[0.0001136682,0.004641122,0.006025113,0.0000147406,0.00008124766,0.001081188,0.00003783621,0.002998539,0.9832601,0.00003449958,0.001697753,0.0000141456],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886901,0.001635848,0.00849307,0.00006706246,0.00001858342,0.0001211854,0.000154102,0.00008510036,0.0007348871],"genre_scores_gemma":[0.9850888,0.001430794,0.01117466,0.00006456008,0.00001553168,0.0002116799,0.0005741203,0.00004804694,0.001391782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001487928,"threshold_uncertainty_score":0.007869005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070227599420242,"score_gpt":0.2154495504729106,"score_spread":0.2047472744787081,"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."}}