{"id":"W1417495857","doi":"10.1155/2009/801612","title":"Mutant Prevention Concentrations of Doripenem and Meropenem Alone and in Combination with Colistin (Polymyxin E), Levofloxacin and Tobramycin in <i>Pseudomonas aeruginosa</i>","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Infectious Diseases and Medical Microbiology","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Health Sciences Centre","funders":"University of Manitoba","keywords":"Meropenem; Doripenem; Colistin; Tobramycin; Microbiology; Pseudomonas aeruginosa; Imipenem; Polymyxin B; Carbapenem; Antimicrobial; Levofloxacin; Minimum inhibitory concentration; Polymyxin; Medicine; Antibiotics; Biology; Antibiotic resistance; Gentamicin; Bacteria","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003213658,0.0004772737,0.0005184446,0.0002600235,0.0001526728,0.0003837861,0.0003452292,0.0004748034,0.001108457],"category_scores_gemma":[0.0007690031,0.0002427128,0.0003878174,0.000170902,0.0002417684,0.0002924097,0.0002701658,0.0005494952,0.0002164099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002689771,"about_ca_system_score_gemma":0.0003129593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008195954,"about_ca_topic_score_gemma":0.001109287,"domain_scores_codex":[0.9994654,0.0001612179,0.00007054429,0.00008760804,0.0001362893,0.00007899856],"domain_scores_gemma":[0.9994759,0.0001465436,0.0001423585,0.00004465399,0.00007932356,0.0001111908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003800314,0.0006259612,0.003487755,0.0001670088,0.00004936789,0.0000858245,0.00008164493,0.0002983976,0.9818954,0.00004657745,0.0001667804,0.00929497],"study_design_scores_gemma":[0.0001896662,0.02514315,0.02648883,0.00002756824,0.0001374998,0.0006051516,0.0001035378,0.0008253003,0.9446902,0.00003340166,0.001738269,0.00001738511],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975303,0.001250812,0.000349683,0.00008055189,0.00002601265,0.00003405201,0.0001027734,0.00003101565,0.0005947779],"genre_scores_gemma":[0.9973497,0.0004114917,0.001418338,0.00003064937,0.00001870033,0.00003135347,0.0001954077,0.000009879299,0.0005344772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001108457,"threshold_uncertainty_score":0.003708184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003521078336540174,"score_gpt":0.2148336346395877,"score_spread":0.2113125563030475,"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."}}