{"id":"W4388517342","doi":"10.1055/s-0043-1765291","title":"Diagnostic Accuracy and Safety of Endoscopic Ultrasound-Guided End-Cutting Fine-Needle Biopsy (FNB) Needles For Tissue Sampling of Abdominal and Mediastinal Lymphadenopathies: A Prospective Multicentre Series","year":2023,"lang":"en","type":"article","venue":"Endoscopy","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Medicine; Endoscopic ultrasound; Radiology; Biopsy; Sampling (signal processing); Fine needle biopsy; Endoscopy; Prospective cohort study; Adverse effect; Surgery; Fine-needle aspiration; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002657518,0.0003174675,0.0007373685,0.0002113072,0.0001694301,0.00002886386,0.00008187167,0.00009815995,0.00004724351],"category_scores_gemma":[0.005059863,0.0002689698,0.0000843729,0.0003290289,0.0002937805,0.0001679015,0.00008544864,0.0000746184,0.000004470176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009741892,"about_ca_system_score_gemma":0.0001668505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002867791,"about_ca_topic_score_gemma":0.00002289549,"domain_scores_codex":[0.9981614,0.00004688303,0.0006336653,0.0004479392,0.0002863714,0.0004237255],"domain_scores_gemma":[0.9926226,0.006465718,0.0003210738,0.0002377677,0.0001790227,0.0001738488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001333714,0.0004555986,0.8680565,0.002070326,0.0004194886,0.0001173152,0.01218052,0.00002068733,0.1041283,0.0007166253,0.0001811936,0.01031973],"study_design_scores_gemma":[0.01288159,0.001366105,0.5525214,0.001833757,0.000650768,0.0003465479,0.006563907,0.0001287876,0.4229287,0.0003514642,0.0001756698,0.000251334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944559,0.002538343,0.0002359752,0.000284381,0.0001847668,0.001775556,0.0003070502,0.00007893085,0.0001390598],"genre_scores_gemma":[0.9783288,0.001345715,0.01960192,0.00002229327,0.0001638705,0.0003242572,0.00009930956,0.0000396363,0.00007415641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3188004,"threshold_uncertainty_score":0.9999763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02266976918513719,"score_gpt":0.3121013214691662,"score_spread":0.289431552284029,"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."}}