{"id":"W4410799247","doi":"10.1016/j.hazadv.2025.100768","title":"Environmental drivers of antibiotic resistance: Synergistic effects of climate change, co-pollutants, and microplastics","year":2025,"lang":"en","type":"article","venue":"Journal of Hazardous Materials Advances","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Canada Research Chairs","keywords":"Microplastics; Pollutant; Environmental science; Climate change; Resistance (ecology); Environmental chemistry; Chemistry; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004833142,0.0006590824,0.0009569374,0.0009004042,0.0003276777,0.001719723,0.0003645232,0.0007813791,0.001545873],"category_scores_gemma":[0.0006405935,0.0002203745,0.0007653791,0.001020879,0.0003823411,0.00115717,0.0007222208,0.0008794402,0.0002872898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007693971,"about_ca_system_score_gemma":0.001303112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002321242,"about_ca_topic_score_gemma":0.003818774,"domain_scores_codex":[0.9996036,0.00009996548,0.00004302473,0.00008816775,0.0001091431,0.00005617174],"domain_scores_gemma":[0.9995868,0.0001816433,0.0000837681,0.00001118435,0.0001095471,0.00002712563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003456801,0.0001628986,0.02601724,0.04969721,0.001431265,0.003348666,0.001605667,0.00821837,0.08631982,0.02415127,0.03426217,0.7644398],"study_design_scores_gemma":[0.00001832435,0.0005210884,0.04920473,0.005568574,0.001279842,0.003544246,0.001860838,0.003466736,0.01528549,0.01302659,0.9060551,0.0001685349],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03267758,0.9508814,0.00400372,0.003882129,0.0008328882,0.00004008965,0.0005290127,0.00009086672,0.007062371],"genre_scores_gemma":[0.1028816,0.8901044,0.002341993,0.001196029,0.0006213143,0.00003857378,0.0003720525,0.00002094735,0.002423108],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002321242,"threshold_uncertainty_score":0.005582333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005788891313934045,"score_gpt":0.2562012983785815,"score_spread":0.2504124070646474,"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."}}