{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005660947,0.0004528025,0.0006950463,0.001096899,0.0001740408,0.001041681,0.0003538133,0.0007916021,0.003279858],"category_scores_gemma":[0.0008813193,0.000149854,0.000716751,0.00138975,0.0002570444,0.0005688661,0.0004044597,0.0006031828,0.0008840338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005606771,"about_ca_system_score_gemma":0.001589605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001904592,"about_ca_topic_score_gemma":0.002282676,"domain_scores_codex":[0.9997572,0.00006286607,0.00003157772,0.00005775251,0.0000631459,0.00002740293],"domain_scores_gemma":[0.99962,0.0001759543,0.00006860759,0.00001016469,0.00009844384,0.00002678924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001893831,0.00005532164,0.00183546,0.03496713,0.00042428,0.0004237026,0.0001702285,0.0006201319,0.008857749,0.006065819,0.02748437,0.9189064],"study_design_scores_gemma":[0.00003192695,0.0003612163,0.01002514,0.008892868,0.000878964,0.002479015,0.0002574993,0.0004554742,0.004908165,0.004757069,0.9669034,0.00004915004],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.001448686,0.9941391,0.0004330754,0.00130863,0.000337257,0.000008941074,0.0001006109,0.00001463259,0.002209081],"genre_scores_gemma":[0.008913086,0.9879799,0.0006594321,0.0004473366,0.0002099052,0.00001287312,0.0001357422,0.000005154441,0.001636643],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003279858,"threshold_uncertainty_score":0.01097226,"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."}}