{"id":"W2020951274","doi":"10.1097/rlu.0b013e318251e3d1","title":"Impact of Point Spread Function Reconstruction on Thoracic Lymph Node Staging With 18F-FDG PET/CT in Non–Small Cell Lung Cancer","year":2012,"lang":"en","type":"article","venue":"Clinical Nuclear Medicine","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre hospitalier universitaire de Québec; Université Laval","funders":"","keywords":"Medicine; McNemar's test; Nuclear medicine; Lymph node; Positron emission tomography; Lung cancer; Positive predicative value; PET-CT; Radiology; Predictive value; Internal medicine; Statistics; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007262264,0.0002602002,0.0007822341,0.0001763134,0.00004517666,0.000005576132,0.00006922263,0.00003795043,0.001016964],"category_scores_gemma":[0.0001234623,0.0001598274,0.0001870762,0.0002704647,0.000208648,0.0001166134,0.00002781353,0.0003801004,0.00003264938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006839267,"about_ca_system_score_gemma":0.0001492315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001417819,"about_ca_topic_score_gemma":0.00004124099,"domain_scores_codex":[0.9980599,0.0001069562,0.000731894,0.0003931102,0.0003114867,0.0003966162],"domain_scores_gemma":[0.9984733,0.0003009172,0.0003262516,0.0004327083,0.0001062445,0.000360516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002253154,0.001083364,0.9706978,0.0002757308,0.0002603827,0.0001107322,0.0001901683,0.00005065668,0.0001717787,0.00001272001,0.001497834,0.02339563],"study_design_scores_gemma":[0.007097225,0.002946545,0.9837548,0.003568643,0.0008657296,0.0001620913,0.000381089,0.0007066372,0.0001144252,0.000007948383,0.0002301012,0.0001647619],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927027,0.0007085865,0.00002192135,0.001646888,0.0007858584,0.000554856,0.000008680368,0.00004348231,0.003527081],"genre_scores_gemma":[0.9966034,0.001171615,0.0003345,0.0009110079,0.0007769564,0.00002945083,0.00001697775,0.00005834301,0.00009775953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02323087,"threshold_uncertainty_score":0.9998962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03222682844680932,"score_gpt":0.3799582051581553,"score_spread":0.347731376711346,"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."}}