{"id":"W2957053576","doi":"10.1053/j.semtcvs.2019.07.007","title":"Combined Endosonographic Mediastinal Lymph Node Staging in Positron Emission Tomography and Computed Tomography Node-Negative Non–Small-Cell Lung Cancer in High-Risk Patients","year":2019,"lang":"en","type":"article","venue":"Seminars in Thoracic and Cardiovascular Surgery","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine; Positron emission tomography; Mediastinal lymph node; Lung cancer; Lymph node; Radiology; Positron Emission Tomography-Computed Tomography; Tomography; Computed tomography; Cancer; Pathology; Internal medicine; Metastasis","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00108944,0.0004463839,0.001320336,0.001288921,0.00007619459,0.00003993782,0.00008631915,0.0002054505,0.00001379009],"category_scores_gemma":[0.00003525509,0.0004045812,0.000559147,0.001450622,0.0001111902,0.0001518751,0.0001147195,0.0004001356,8.103726e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000220528,"about_ca_system_score_gemma":0.0001211919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002954554,"about_ca_topic_score_gemma":0.000073838,"domain_scores_codex":[0.9970479,0.000369542,0.000578845,0.0008738802,0.0005350538,0.0005948059],"domain_scores_gemma":[0.9985572,0.0004753921,0.0001697484,0.000472912,0.00009658348,0.0002282158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005530937,0.0004813996,0.9527346,0.0008574284,0.0006658012,0.0002245422,0.0008529083,0.0003172845,0.00003857475,8.988975e-7,0.0000460143,0.0432274],"study_design_scores_gemma":[0.00563596,0.0001119652,0.9849956,0.005278447,0.0006233926,0.000007676488,0.000405801,0.001309024,0.001195536,0.0000236604,0.00001506101,0.000397845],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9578491,0.0404143,0.00003670672,0.00005890706,0.0003633967,0.001088825,0.00005119432,0.00003244572,0.0001051189],"genre_scores_gemma":[0.980289,0.01884231,0.0003651477,0.00008047302,0.00004243255,0.0002311612,0.00009207233,0.00004826868,0.000009162123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04282955,"threshold_uncertainty_score":0.9998406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005044329209817116,"score_gpt":0.230606532650433,"score_spread":0.2255622034406159,"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."}}