{"id":"W2978443374","doi":"10.1111/evj.13151","title":"Clinical insights: Antimicrobials in an age of resistance","year":2019,"lang":"en","type":"letter","venue":"Equine Veterinary Journal","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Antibiotic resistance; Antimicrobial; Resistance (ecology); Medicine; Biology; Microbiology; Ecology; Antibiotics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006765276,0.0003872581,0.0008400301,0.0001932799,0.00004678101,0.00007362997,0.0008679675,0.001141337,0.00007779572],"category_scores_gemma":[0.0001305911,0.0003564126,0.0003238658,0.0001093623,0.0002682301,0.00001887737,0.0002416442,0.001480115,0.00001514816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004103205,"about_ca_system_score_gemma":0.0002526123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002212423,"about_ca_topic_score_gemma":0.00001238885,"domain_scores_codex":[0.9965835,0.0007102296,0.001385468,0.000601395,0.0002651847,0.0004541898],"domain_scores_gemma":[0.9979392,0.00005498898,0.0008811887,0.0009000335,0.0001546137,0.00007000563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005609209,0.0001018011,0.003993372,0.0002239587,0.00008246687,0.003196543,0.00002642297,0.000002824438,0.5713966,0.000001103219,0.4202873,0.0001267426],"study_design_scores_gemma":[0.001074273,0.00458214,0.005557144,0.0007408262,0.00003292353,0.0006533851,0.00001906614,0.000001269613,0.002147418,0.00004415318,0.9846287,0.0005186658],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876299,0.001282616,0.0001538689,0.008359127,0.001686581,0.0002300332,0.00006327886,0.00000668816,0.0005879435],"genre_scores_gemma":[0.7800526,0.006569406,0.01012206,0.1625307,0.02279874,0.00000718156,0.0021742,0.0004060915,0.01533905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5692492,"threshold_uncertainty_score":0.9998888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04800474455432631,"score_gpt":0.3437345534408887,"score_spread":0.2957298088865624,"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."}}