{"id":"W2620962510","doi":"10.3389/978-2-88945-181-4","title":"Antimicrobial Resistance and Virulence Common Mechanisms","year":2017,"lang":"en","type":"book","venue":"Frontiers research topics","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"National Institute of Allergy and Infectious Diseases; Paracelsus Medizinische Privatuniversität; National Institutes of Health; Ministerio de Economía y Competitividad; Key Technologies Research and Development Program; National Natural Science Foundation of China; Danmarks Tekniske Universitet; Instituto de Salud Carlos III; Joint Programming Initiative Water challenges for a changing world; Comunidad de Madrid","keywords":"Virulence; Antimicrobial; Resistance (ecology); Antibiotic resistance; Microbiology; Biology; Genetics; Antibiotics; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006719731,0.0003117854,0.0004274084,0.0001174682,0.0005183812,0.0002514258,0.001004172,0.0007830245,0.00001637899],"category_scores_gemma":[0.0002319044,0.0003254683,0.0001041017,0.00003019524,0.0009776101,0.000009403248,0.0006750178,0.0006854824,0.00001964736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001159865,"about_ca_system_score_gemma":0.0005355487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000962162,"about_ca_topic_score_gemma":0.0001153543,"domain_scores_codex":[0.9976869,0.0001699503,0.0002793121,0.0008022278,0.0004637436,0.0005978146],"domain_scores_gemma":[0.9980193,0.000007085142,0.0001914026,0.001376933,0.0002396457,0.000165683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000152421,0.00001674597,0.0002366584,0.0002388496,0.0000791532,0.00005250543,0.00002146542,1.332909e-7,0.009841918,0.001831916,0.985459,0.002069197],"study_design_scores_gemma":[0.0002475735,0.00009491588,0.0004958269,0.0002779781,0.00001724883,0.000004995472,0.00001658133,0.000003393512,0.005735329,0.009361641,0.9833942,0.000350283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01160086,0.02644553,0.01271008,0.007564519,0.00529709,0.002899898,0.00104521,0.00009033573,0.9323465],"genre_scores_gemma":[0.000765132,0.004638618,0.007735455,0.00008105248,0.0009325633,0.000009014133,0.0003123868,0.00007232966,0.9854534],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05310697,"threshold_uncertainty_score":0.9999197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02713936680180973,"score_gpt":0.3161864322897455,"score_spread":0.2890470654879358,"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."}}