{"id":"W2736599099","doi":"10.1111/vde.12474","title":"<i>Macrococcus canis</i> and <i>M. caseolyticus</i> in dogs: occurrence, genetic diversity and antibiotic resistance","year":2017,"lang":"en","type":"article","venue":"Veterinary Dermatology","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Canis; Antibiotics; Microbiology; Broth microdilution; Antibiotic resistance; Biology; Multilocus sequence typing; 16S ribosomal RNA; Veterinary medicine; Minimum inhibitory concentration; Bacteria; Medicine; Genetics; Genotype; Gene; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003161691,0.0002368576,0.0002569351,0.001091273,0.0003437152,0.0005979551,0.0002318148,0.0004071128,0.0005233258],"category_scores_gemma":[0.0007900997,0.0002613816,0.0001398965,0.0007529911,0.0007600819,0.0003867388,0.0002825716,0.0002374788,0.0001109511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006866457,"about_ca_system_score_gemma":0.0002659915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01182099,"about_ca_topic_score_gemma":0.01567484,"domain_scores_codex":[0.9996131,0.00004424593,0.00003229183,0.0001189193,0.0001033771,0.00008803869],"domain_scores_gemma":[0.9992106,0.00009738229,0.0004278162,0.00002424823,0.00009850108,0.0001413586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001759645,0.00003842758,0.9912304,0.0000256616,0.0000218101,0.0004370219,0.0002001924,0.00006556931,0.006300405,0.0000144001,0.00008054342,0.00140957],"study_design_scores_gemma":[0.000003307949,0.0001454463,0.9970466,0.000007199837,0.0000143967,0.001451518,0.0004092877,0.0001532649,0.0005749369,0.000009568237,0.0001816585,0.000002778107],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996067,0.0001528059,0.00003341751,0.00001508481,0.000001320005,0.000003565517,0.00005804565,0.000001332566,0.0001277885],"genre_scores_gemma":[0.9996169,0.00008603062,0.0001138616,0.00001046177,0.000003434955,0.000002136444,0.0001245205,6.178402e-7,0.00004211158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01182099,"threshold_uncertainty_score":0.02350438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02526107890158417,"score_gpt":0.2703515317017598,"score_spread":0.2450904528001756,"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."}}