{"id":"W31126323","doi":"10.1186/s13395-019-0201-6","title":"日-P2-166 カルバペネム系抗菌薬の使用量と緑膿菌耐性率との関連に関する調査(感染制御(治療薬),ポスター発表,一般演題,再興、再考、創ろう最高の医療の未来)","year":2013,"lang":"ja","type":"article","venue":"日本医療薬学会年会講演要旨集","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Muscular Dystrophy Association","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002374335,0.0004176741,0.0002897832,0.000187873,0.0002882764,0.0002795068,0.0003589208,0.000549371,0.01040354],"category_scores_gemma":[0.0002141849,0.0001574414,0.0003051572,0.0001351705,0.0003471217,0.0004951365,0.0002555511,0.001637198,0.003562652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002603102,"about_ca_system_score_gemma":0.0004002654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008253795,"about_ca_topic_score_gemma":0.0006125216,"domain_scores_codex":[0.9998306,0.00001701381,0.00001101669,0.0000390268,0.00004537865,0.00005691231],"domain_scores_gemma":[0.9998679,0.00002210527,0.00001815329,0.00002028286,0.00002250152,0.00004909199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001499978,0.0002810573,0.0004572808,0.0002140622,0.000033439,0.0003931289,0.00004980045,0.0002266813,0.9836485,0.001318986,0.0009524073,0.01092464],"study_design_scores_gemma":[0.0001406704,0.00121226,0.003546118,0.00002552424,0.00003437785,0.001584468,0.00009245269,0.000808642,0.9618669,0.001106914,0.02956197,0.00001962203],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8939351,0.01047946,0.02001035,0.002050599,0.001624837,0.0003170036,0.002293882,0.000464357,0.06882446],"genre_scores_gemma":[0.9521717,0.00216649,0.008380317,0.0009154661,0.0001322157,0.0001456965,0.002612454,0.0000946661,0.03338091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01040354,"threshold_uncertainty_score":0.03480333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005424351493948972,"score_gpt":0.2176527762859523,"score_spread":0.2122284247920034,"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."}}