{"id":"W2692463325","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（2）","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":[0.0008464984,0.0003039351,0.0001646051,0.0006905227,0.001235284,0.003765269,0.000371349,0.0009008509,0.02584862],"category_scores_gemma":[0.0008521508,0.0001598189,0.0002335902,0.0004137996,0.00182228,0.001615993,0.0006833549,0.0008940524,0.004950348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001853611,"about_ca_system_score_gemma":0.001965459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002601193,"about_ca_topic_score_gemma":0.002179153,"domain_scores_codex":[0.9995253,0.00008138475,0.00001653433,0.00006990491,0.0002312679,0.00007561861],"domain_scores_gemma":[0.9995957,0.00007786625,0.00005065346,0.00003547293,0.0001758881,0.00006449124],"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":[0.00008044079,0.0001066734,0.001703447,0.000181259,0.0000235095,0.0003157111,0.001311462,0.0006946572,0.009495469,0.8513511,0.01950268,0.1152336],"study_design_scores_gemma":[0.0000341724,0.0002444435,0.007918393,0.0001672727,0.00004295608,0.0009909788,0.003444885,0.001798646,0.02032312,0.2623722,0.7026035,0.00005948586],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04959229,0.003496705,0.011604,0.01404892,0.0009881977,0.0001075499,0.0001567839,0.0001125018,0.9198931],"genre_scores_gemma":[0.6114615,0.003584347,0.010631,0.003077795,0.0006090241,0.000110068,0.000125515,0.00004344027,0.3703573],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02584862,"threshold_uncertainty_score":0.08647227,"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."}}