{"id":"W2662725846","doi":"","title":"上部消化管内視鏡検査up to date；安全，迅速，診断精度の向上をめざして","year":2011,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004323361,0.0004370335,0.0004593445,0.0002774617,0.0001440552,0.00001854636,0.0008971471,0.0003910081,0.01253136],"category_scores_gemma":[0.000132007,0.0004425508,0.000120328,0.0004464056,0.0002360988,0.0002469121,0.0002070219,0.0008961937,0.004374367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000429453,"about_ca_system_score_gemma":0.00007014764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001576563,"about_ca_topic_score_gemma":0.00002990656,"domain_scores_codex":[0.9976884,0.00006615841,0.000529362,0.0005151854,0.000339612,0.0008613269],"domain_scores_gemma":[0.998601,0.00006920403,0.00004699034,0.0007264736,0.00004886158,0.0005075293],"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":[0.000652615,0.00116575,0.002328346,0.001960512,0.002590423,0.003227191,0.05186746,0.0002460841,0.03734265,0.08200137,0.6382898,0.1783278],"study_design_scores_gemma":[0.003553645,0.0009942306,0.004602235,0.0006921664,0.0007051941,0.0002989275,0.006163741,0.006777303,0.07930004,0.01153043,0.8825469,0.002835173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2902991,0.009540847,0.001944764,0.002860798,0.006864509,0.0008421963,0.0001987284,0.002242335,0.6852068],"genre_scores_gemma":[0.9931076,0.001883554,0.002359892,0.0005594793,0.0004119545,0.00006803618,0.0000253428,0.00007137879,0.001512726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7028086,"threshold_uncertainty_score":0.9998026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03437266904811664,"score_gpt":0.2630295126767807,"score_spread":0.2286568436286641,"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."}}