{"id":"W2270674462","doi":"","title":"整形外科領域における周術期感染対策； 「骨・関節術後感染予防ガイドライン」における抗菌薬の使用基準と最近の考え方","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":[0.0005329573,0.0005822718,0.0005983087,0.0003034126,0.0002064963,0.00002236392,0.000997619,0.0006311209,0.01987407],"category_scores_gemma":[0.0001158535,0.0005875567,0.0002214436,0.0004534299,0.0005507308,0.0003762111,0.0001650458,0.001414468,0.0028518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000750849,"about_ca_system_score_gemma":0.0001046915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001391594,"about_ca_topic_score_gemma":0.0000292311,"domain_scores_codex":[0.9971051,0.0001053243,0.000707801,0.0005757659,0.0004455768,0.001060499],"domain_scores_gemma":[0.9984815,0.0001035322,0.00009437298,0.000793174,0.00006624391,0.0004612218],"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":[0.0011271,0.002587589,0.009547592,0.003910125,0.00613024,0.006150385,0.06916158,0.0002787248,0.01764002,0.2610047,0.4080426,0.2144193],"study_design_scores_gemma":[0.01606611,0.002427591,0.02266675,0.001717724,0.003031352,0.001565053,0.01473166,0.05330895,0.07664537,0.1921239,0.6070681,0.008647447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1191168,0.02995164,0.0009579039,0.0009938544,0.005670928,0.0005634161,0.0000954498,0.002299494,0.8403505],"genre_scores_gemma":[0.9912499,0.005220449,0.001387889,0.0003892159,0.0004351498,0.00006374986,0.0000216299,0.00009530099,0.001136694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8721331,"threshold_uncertainty_score":0.9996576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03041070002375282,"score_gpt":0.251507951290536,"score_spread":0.2210972512667832,"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."}}