{"id":"W4400942384","doi":"10.1016/j.xjtc.2024.06.024","title":"Clinical utility of artificial intelligence–augmented endobronchial ultrasound elastography in lymph node staging for lung cancer","year":2024,"lang":"en","type":"article","venue":"JTCVS Techniques","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; McMaster University","funders":"","keywords":"Medicine; Lymph node; Lymph; Radiology; Elastography; Ultrasound; Lung cancer; Receiver operating characteristic; Prospective cohort study; 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":[0.001893313,0.0004635893,0.0004040325,0.000558531,0.0001425222,0.0007741806,0.0003330158,0.0005341043,0.0005831779],"category_scores_gemma":[0.006571891,0.0001648477,0.000283579,0.0002713038,0.0002584792,0.0005058395,0.0004031744,0.0003703095,0.0001688771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003113927,"about_ca_system_score_gemma":0.0002985559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009518498,"about_ca_topic_score_gemma":0.001958779,"domain_scores_codex":[0.9992599,0.0004322547,0.00004904895,0.0001108477,0.0001145786,0.00003327356],"domain_scores_gemma":[0.9979244,0.001283507,0.0002554126,0.00010094,0.0003215909,0.0001140594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006682279,0.0006545225,0.7068662,0.0002652122,0.0004323985,0.0001843785,0.0001272275,0.02615308,0.008390733,0.0001515189,0.001044055,0.2490484],"study_design_scores_gemma":[0.0004053097,0.005099798,0.5110822,0.0001442545,0.00053524,0.0006030567,0.0001882301,0.468777,0.009640479,0.00105975,0.002392489,0.00007216023],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900764,0.001845237,0.005733535,0.0003599836,0.00003573344,0.00007529962,0.000255597,0.00008289502,0.00153546],"genre_scores_gemma":[0.996662,0.0001802145,0.002772089,0.00005847718,0.0000142891,0.00001898809,0.0001363278,0.000002759158,0.0001548845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001893313,"threshold_uncertainty_score":0.01001292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03730108561726991,"score_gpt":0.4145352946488722,"score_spread":0.3772342090316023,"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."}}