{"id":"W2739276358","doi":"10.1111/1759-7714.12481","title":"Influence of trainee involvement on procedural characteristics for linear endobronchial ultrasound","year":2017,"lang":"en","type":"article","venue":"Thoracic Cancer","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Medicine; Endobronchial ultrasound; Pulmonologists; Radiology; Sampling (signal processing); Retrospective cohort study; Ultrasound; Lidocaine; Lymph node; Bronchoscopy; Surgery; Internal medicine; Intensive care 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":[0.000103641,0.0001554662,0.0003353588,0.00003522824,0.000146108,0.0000204202,0.0001223335,0.00005488381,0.00005572028],"category_scores_gemma":[0.0001719844,0.000120553,0.0001047099,0.00002721455,0.0001085955,0.00007112062,0.00002037301,0.00008346375,0.000005971131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002507131,"about_ca_system_score_gemma":0.0002377297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002993298,"about_ca_topic_score_gemma":0.0001000821,"domain_scores_codex":[0.9990817,0.000007394648,0.0002421702,0.0002399011,0.0002153945,0.0002134034],"domain_scores_gemma":[0.9989651,0.00007416602,0.0002545675,0.000444849,0.0001627779,0.00009858185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007939587,0.002619553,0.8346888,0.005476632,0.001291644,0.00004219908,0.002803815,0.0004167904,0.03854508,0.001889628,0.005612915,0.0986733],"study_design_scores_gemma":[0.002602083,0.001284531,0.8899326,0.001118128,0.0003912866,0.000005458513,0.00003785377,0.00009302586,0.09690282,0.0001282547,0.007294737,0.0002091697],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965916,0.0001487604,0.00001783115,0.001429195,0.00020539,0.0009316246,0.0002418973,0.00002158652,0.0004121156],"genre_scores_gemma":[0.9970989,0.0003820302,0.0003134742,0.0005921136,0.0005743689,0.0005752122,0.00003660776,0.0000230559,0.0004042921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09846413,"threshold_uncertainty_score":0.4916008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03718418384644176,"score_gpt":0.382425259308645,"score_spread":0.3452410754622032,"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."}}