{"id":"W1988967539","doi":"10.1016/s0140-6736(00)03200-1","title":"Being equipped for clinical PET","year":2000,"lang":"en","type":"article","venue":"The Lancet","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Thomas Hospital","funders":"","keywords":"Positron emission tomography; Nuclear medicine; Fluorodeoxyglucose; Pet imaging; Carbohydrate metabolism; Metabolism; In vivo; Nuclear medicine imaging; Medicine; Glucose uptake; Medical physics; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000468689,0.00004041648,0.0001845126,0.000005463127,0.00005543442,0.000007989144,0.0001297822,0.00001945657,0.0005503689],"category_scores_gemma":[0.000103752,0.00002331004,0.00005982962,0.00004315138,0.00007391907,0.000009910064,0.00001285634,0.0001355315,0.00007971495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005105994,"about_ca_system_score_gemma":0.000016267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003933121,"about_ca_topic_score_gemma":3.4641e-7,"domain_scores_codex":[0.9995343,0.000016272,0.0001425196,0.00009592506,0.00007040025,0.0001405881],"domain_scores_gemma":[0.9993991,0.0001416204,0.00001751157,0.0003695108,0.0000166761,0.00005558382],"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":[0.0001150107,0.00006631312,0.002761184,0.00002537974,0.00001768124,0.00000378092,0.00003241062,1.190608e-7,0.0003586851,0.006884637,0.9248971,0.06483772],"study_design_scores_gemma":[0.0008861942,0.00007161182,0.004712847,0.00004104499,0.000043668,0.00002790704,0.000004635407,0.001490361,0.0001821901,0.007684668,0.9848146,0.00004023754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5631431,0.0001043909,0.006834473,0.3405484,0.00008125816,0.001082105,0.00002206757,0.0005130289,0.08767124],"genre_scores_gemma":[0.8906547,0.0008699917,0.06555375,0.02684071,0.00386072,0.0002054873,0.00004158062,0.00002148496,0.01195153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3275117,"threshold_uncertainty_score":0.6026153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.125064629005944,"score_gpt":0.4527993814859637,"score_spread":0.3277347524800197,"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."}}