{"id":"W3095989683","doi":"","title":"耐性菌感染予防策としての抗菌薬サイクリング/ミキシング 第2回 操薬から抗菌薬サイクリング/ミキシングを考える","year":2006,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007133778,0.0002822802,0.0001777572,0.0007787006,0.001530869,0.003759917,0.000396301,0.0008833556,0.02832657],"category_scores_gemma":[0.001041066,0.0001668781,0.0002453227,0.0005521959,0.002491298,0.002424784,0.0006845027,0.000894052,0.004878785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001780816,"about_ca_system_score_gemma":0.001802853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003097147,"about_ca_topic_score_gemma":0.002126,"domain_scores_codex":[0.9995421,0.00008445603,0.00001716609,0.00007407916,0.0002159083,0.00006630086],"domain_scores_gemma":[0.9995483,0.0001132922,0.00005409963,0.00004020255,0.0001907332,0.00005334879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003058313,0.00003981692,0.0006840585,0.00006737706,0.00001079081,0.0001272789,0.0008946467,0.0005303509,0.002034266,0.9396904,0.00956502,0.04632552],"study_design_scores_gemma":[0.00002313834,0.0001007913,0.004340097,0.0000947671,0.00002860951,0.0004575472,0.003116769,0.001628469,0.006641878,0.6511405,0.332387,0.0000405238],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0359391,0.001658467,0.01504784,0.01000717,0.0005514936,0.00006426658,0.0001753582,0.00008979117,0.9364665],"genre_scores_gemma":[0.6620488,0.002087819,0.0144504,0.001643892,0.0004894469,0.0001169159,0.0001333155,0.00005413718,0.3189752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02832657,"threshold_uncertainty_score":0.09476185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01156588935498763,"score_gpt":0.2422935870358271,"score_spread":0.2307276976808394,"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."}}