{"id":"W3088312602","doi":"10.1007/s00228-020-02998-7","title":"Monte Carlo simulation evaluation of tigecycline dosing for bacteria with raised minimum inhibitory concentrations in non-critically ill adults","year":2020,"lang":"en","type":"article","venue":"European Journal of Clinical Pharmacology","topic":"Antibiotics Pharmacokinetics and Efficacy","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; Kingston General Hospital; University of Toronto","funders":"","keywords":"Tigecycline; Dosing; Minimum inhibitory concentration; Pharmacokinetics; Volume of distribution; Pharmacodynamics; Pharmacology; Medicine; Antibiotics; Elimination rate constant; Antibacterial agent; Microbiology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00267595,0.0004530494,0.0008722142,0.0007083076,0.0001627018,0.0006364402,0.0006500367,0.0007843172,0.002095744],"category_scores_gemma":[0.01043473,0.0003956342,0.001119941,0.0007191532,0.0002035215,0.0002466593,0.0002614801,0.0004327435,0.0001422212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008736107,"about_ca_system_score_gemma":0.001374394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01297144,"about_ca_topic_score_gemma":0.007326446,"domain_scores_codex":[0.9991971,0.000551806,0.00004920975,0.00006468981,0.00008541841,0.00005186371],"domain_scores_gemma":[0.9812146,0.01681396,0.0009494801,0.0002020064,0.0006697038,0.0001502559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008744965,0.00009864447,0.007163745,0.0002739375,0.000301112,0.00009225102,0.00004224268,0.9837938,0.0005284895,0.001138731,0.000367302,0.005325365],"study_design_scores_gemma":[0.0002620161,0.0005175326,0.002942821,0.0000685001,0.0002070898,0.00005580949,0.00002887174,0.9933647,0.0006760994,0.001001149,0.0008612481,0.00001412318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.93389,0.003321265,0.04695934,0.0004695734,0.00005008467,0.001037573,0.003130479,0.0002160554,0.01092551],"genre_scores_gemma":[0.983152,0.0009406533,0.01287301,0.0001130999,0.00001928184,0.0007752209,0.0009567767,0.00002240319,0.001147365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01297144,"threshold_uncertainty_score":0.02579188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1009026202784245,"score_gpt":0.4359197052647506,"score_spread":0.3350170849863261,"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."}}