{"id":"W174390846","doi":"10.18907/jjsre.33.special_s119","title":"EBUS-TBNA in North America","year":2011,"lang":"en","type":"article","venue":"Kikanshigaku","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital","funders":"","keywords":"Computer science","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":[0.0005947953,0.0001535732,0.0002634884,0.001164394,0.001084633,0.0006630029,0.0002957362,0.0004980704,0.003211671],"category_scores_gemma":[0.0007643113,0.0002170087,0.0002522586,0.001841125,0.0006211828,0.0006686526,0.0006566272,0.0008399832,0.0003821298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002500818,"about_ca_system_score_gemma":0.004669826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.177226,"about_ca_topic_score_gemma":0.2929774,"domain_scores_codex":[0.9995342,0.0001148121,0.00003591558,0.00008640616,0.00006434278,0.000164358],"domain_scores_gemma":[0.9992618,0.0001131375,0.0001475965,0.0000301941,0.0002123957,0.0002348833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002930255,0.0001572333,0.9058128,0.0002575058,0.00009802561,0.001606886,0.00201357,0.0002035856,0.001996747,0.002066864,0.02244138,0.0630524],"study_design_scores_gemma":[0.00002952142,0.00006604155,0.9574305,0.000203629,0.00006938543,0.001171359,0.004382372,0.0001780651,0.0002398126,0.0004359701,0.0357796,0.00001363055],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8995349,0.03127528,0.0008060021,0.01663771,0.0006031406,0.0001185439,0.003317285,0.00009680418,0.04761027],"genre_scores_gemma":[0.9696574,0.01343795,0.0009106138,0.005805315,0.0003342,0.0001114776,0.001537935,0.00002581082,0.0081793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.177226,"threshold_uncertainty_score":0.3523889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03151976849952519,"score_gpt":0.2666561072147579,"score_spread":0.2351363387152327,"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."}}