{"id":"W4414130417","doi":"10.62019/99z3v138","title":"&lt;b&gt;CO-SELECTION OF ANTIMICROBIAL RESISTANCE GENES BY HEAVY METAL RESISTANCE IN &lt;/b&gt;&lt;b&gt;&lt;i&gt;Staphylococcus aureus&lt;/i&gt;&lt;/b&gt;&lt;b&gt;: &lt;/b&gt;&lt;b&gt;PUBLIC HEALTH IMPLICATIONS&lt;/b&gt;","year":2025,"lang":"en","type":"article","venue":"Journal of medical & health sciences review.","topic":"Microbial Metabolism and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Society of Microbiologists","funders":"","keywords":"Antibiotic resistance; Staphylococcus aureus; Horizontal gene transfer; Gene; Mobile genetic elements; Resistome; Cadmium; Resistance (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","sts","open_science","research_integrity"],"consensus_categories":["metaepi_narrow","sts","research_integrity"],"category_scores_codex":[0.02143577,0.002774368,0.006132927,0.002218469,0.003733573,0.0007637787,0.007353969,0.002161149,0.0007219388],"category_scores_gemma":[0.004558416,0.002564241,0.002273796,0.009311697,0.00406608,0.0006335803,0.001293899,0.002684326,0.0001542064],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00162839,"about_ca_system_score_gemma":0.01420634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008624513,"about_ca_topic_score_gemma":0.006471951,"domain_scores_codex":[0.969014,0.004108867,0.01080487,0.004842583,0.005755516,0.005474128],"domain_scores_gemma":[0.9796219,0.0009905461,0.008385417,0.003783835,0.003071703,0.004146541],"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":[0.0004266301,0.001659141,0.0002094181,0.002945379,0.0003553565,0.00003177526,0.0002302522,0.00004608556,0.5939081,0.0135287,0.3734265,0.01323264],"study_design_scores_gemma":[0.004196526,0.001208079,0.005432806,0.005041812,0.0004979661,0.0003139757,0.00005064447,0.0001787523,0.01407289,0.0008432873,0.9659727,0.002190602],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1838425,0.6836976,0.01094839,0.1017605,0.004552813,0.007663328,0.002285635,0.0003427339,0.004906476],"genre_scores_gemma":[0.3256363,0.6306658,0.01376786,0.0184868,0.004478471,0.0009168328,0.001148878,0.0004486507,0.004450425],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5925462,"threshold_uncertainty_score":0.9996165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0182856558998343,"score_gpt":0.3343131652497003,"score_spread":0.3160275093498661,"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."}}