{"id":"W3135700745","doi":"10.3390/antibiotics10030237","title":"Antibiotic Resistance in Shiga Toxigenic Escherichia coli Isolates from Surface Waters and Sediments in a Mixed Use Urban Agricultural Landscape","year":2021,"lang":"en","type":"article","venue":"Antibiotics","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Agriculture and Agri-Food Canada; Canadian Food Inspection Agency; University of British Columbia","funders":"Agriculture and Agri-Food Canada; Health Canada; Public Health Agency; Public Health Agency of Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Food Inspection Agency","keywords":"Microbiology; Cefoxitin; Biology; Amikacin; Meropenem; Ertapenem; Nalidixic acid; Kanamycin; Ampicillin; Antibiotic resistance; Cefotaxime; Imipenem; Sulfamethoxazole; Antibiotics; Genetics; Bacteria; Staphylococcus aureus","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000147221,0.0003186729,0.0003868488,0.00004466227,0.00006275316,0.0001514422,0.0002027073,0.000317329,0.00001201077],"category_scores_gemma":[0.0001341442,0.0002974988,0.00007269958,0.0003298884,0.0001229126,0.00003035392,0.0002003751,0.0002020767,0.000009873213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003861901,"about_ca_system_score_gemma":0.00008814533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000116249,"about_ca_topic_score_gemma":0.002409827,"domain_scores_codex":[0.9979886,0.0001668186,0.0004570102,0.0007322649,0.000147929,0.0005074132],"domain_scores_gemma":[0.9991745,0.00005832919,0.0001250121,0.0004522464,0.00008083675,0.0001090385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008989151,0.00009356004,0.4693165,0.00002821944,0.00004240038,0.00005248943,0.0001328583,0.0000181937,0.5294234,0.00002387152,0.0007702119,0.000008389293],"study_design_scores_gemma":[0.0008752343,0.0000466954,0.6961837,0.000147494,0.00002247085,0.000003696945,0.0004071377,0.00004363215,0.301179,0.00001665166,0.0007388428,0.0003354401],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970037,0.001975147,0.00002346095,0.0001942206,0.0003049528,0.0002075382,0.00007697698,0.00001687129,0.0001971781],"genre_scores_gemma":[0.992085,0.001015411,0.005121787,0.0001853985,0.00008219588,1.556687e-7,0.0004045029,0.00003798789,0.001067591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2282444,"threshold_uncertainty_score":0.9999477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008427226048049656,"score_gpt":0.2159790269240175,"score_spread":0.2075518008759679,"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."}}