{"id":"W255210343","doi":"10.18907/jjsre.34.special_s102","title":"コンベックス走査式超音波気管支鏡ガイド下針生検(EBUS-TBNA)検体を用いたがんトランスレーショナル・リサーチ(池田賞受賞記念講演,第35回日本呼吸器内視鏡学会学術集会)","year":2012,"lang":"ja","type":"article","venue":"気管支学 : 日本気管支研究会雑誌","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001837343,0.0002872717,0.0002107741,0.0011296,0.002258779,0.005472292,0.0006214938,0.001055988,0.01849213],"category_scores_gemma":[0.003179151,0.0001938498,0.0002484894,0.0009725032,0.004095232,0.003627727,0.001867705,0.001006233,0.003114148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003364081,"about_ca_system_score_gemma":0.003269595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00811882,"about_ca_topic_score_gemma":0.007893377,"domain_scores_codex":[0.9988143,0.0003587714,0.00006341914,0.0001723255,0.0004149947,0.0001761638],"domain_scores_gemma":[0.9990476,0.0003116524,0.0001068629,0.00007044786,0.0003345022,0.0001289231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000592105,0.00006672489,0.003903107,0.0001600677,0.0000223009,0.0001535222,0.006747053,0.0009623171,0.002679334,0.8918754,0.004381517,0.08898947],"study_design_scores_gemma":[0.00004251317,0.0002007384,0.01764554,0.0004773598,0.00007790384,0.0008185275,0.02502352,0.004094582,0.01027534,0.5968814,0.3443659,0.00009671749],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1137508,0.002733704,0.02782878,0.0064593,0.0004902302,0.0001510108,0.0001570856,0.0001243017,0.8483047],"genre_scores_gemma":[0.8844764,0.001141579,0.02037956,0.0009768734,0.0001069725,0.0001540925,0.0000615401,0.00004120122,0.09266169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01849213,"threshold_uncertainty_score":0.06186235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172532388867259,"score_gpt":0.2107448481445869,"score_spread":0.1990195242559143,"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."}}