{"id":"W280973563","doi":"10.18907/jjsre.30.6_360","title":"肺癌におけるコンベックス式超音波気管支鏡ガイド下針生検(EBUS-TBNA)を用いた,縦隔・肺門リンパ節転移診断( 肺癌の縦隔リンパ節転移診断-画像と内視鏡的診断-)","year":2008,"lang":"ja","type":"article","venue":"気管支学 : 日本気管支研究会雑誌","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0007656888,0.002035628,0.002729668,0.0007433118,0.001310699,0.00021308,0.00105746,0.001084398,0.01098626],"category_scores_gemma":[0.0003681799,0.001857084,0.001453822,0.001577219,0.001004507,0.0006673108,0.0005163748,0.001660903,0.0138448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002367644,"about_ca_system_score_gemma":0.001659435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001839891,"about_ca_topic_score_gemma":0.0003113728,"domain_scores_codex":[0.9892962,0.0004444732,0.002108579,0.002755307,0.002362848,0.0030326],"domain_scores_gemma":[0.9925765,0.0006930649,0.0008127352,0.003216386,0.0006811012,0.002020238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002300797,0.01208274,0.3063991,0.002079595,0.006796282,0.01437005,0.01372134,0.000176753,0.001655028,0.003035807,0.6004745,0.03690792],"study_design_scores_gemma":[0.02358958,0.005002047,0.2564338,0.003071746,0.004680658,0.002205808,0.001763435,0.000715062,0.01112866,0.0003485945,0.6875289,0.00353168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7893986,0.05647669,0.00014786,0.01806447,0.009675148,0.004650266,0.0006738094,0.001142913,0.1197702],"genre_scores_gemma":[0.9251366,0.02049718,0.0006976695,0.00538777,0.005020976,0.0005748113,0.0003799665,0.0004474735,0.04185759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.135738,"threshold_uncertainty_score":0.9999894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02541177819825432,"score_gpt":0.2842519325298543,"score_spread":0.2588401543316,"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."}}