{"id":"W2798531184","doi":"10.1101/307983","title":"Colistin resistance prevalence in <i>Escherichia coli</i> from domestic animals in intensive breeding farms of Jiangsu Province, China","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"National Natural Science Foundation of China","keywords":"Colistin; MCR-1; Escherichia coli; Carriage; Biology; Veterinary medicine; Microbiology; Agar; Feces; Enterobacteriaceae; Bacteria; Medicine; Gene; Antibiotics","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":[0.0004656623,0.0004053402,0.0002993637,0.001576828,0.0006201616,0.0004886832,0.0003132635,0.0004287166,0.0007678],"category_scores_gemma":[0.000571289,0.0003343656,0.0002734853,0.001129464,0.0005472644,0.0003102675,0.000320646,0.0001946735,0.0001015631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006704336,"about_ca_system_score_gemma":0.0007126399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02797535,"about_ca_topic_score_gemma":0.04061629,"domain_scores_codex":[0.9995676,0.00006337479,0.00006746726,0.0001058553,0.0001109644,0.00008482797],"domain_scores_gemma":[0.9993861,0.00006736148,0.0002296614,0.00003244568,0.0001531343,0.0001313442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004413677,0.00002779369,0.993846,0.00003362584,0.00002445341,0.0003844536,0.0003365364,0.00002006382,0.003320368,0.00001095574,0.00008282625,0.001868684],"study_design_scores_gemma":[0.000002542784,0.0000449505,0.9990726,0.000004906752,0.000007170054,0.0002822194,0.0002957887,0.0000456848,0.0001485917,0.000002746593,0.00009069787,0.000002095231],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996736,0.00006141049,0.0000386033,0.00001588755,0.000002272762,0.000006246856,0.00008088533,0.000001633804,0.0001193758],"genre_scores_gemma":[0.9992236,0.00009588328,0.0001038048,0.00004075633,0.000007766742,0.00001019459,0.0002997197,0.000001209587,0.0002170321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02797535,"threshold_uncertainty_score":0.05562502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009462621654217386,"score_gpt":0.2297773082382568,"score_spread":0.2203146865840394,"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."}}