{"id":"W4416661009","doi":"10.1021/acs.est.5c13743","title":"Landfills as Hotspots of Multidrug Resistance Genes: Profiles, Drivers, and Hosts","year":2025,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Natural Science Foundation of China","keywords":"Mobile genetic elements; Resistome; Metagenomics; Antibiotic resistance; Multiple drug resistance; Resistance (ecology); Municipal solid waste; Virulence","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":[0.000503014,0.0005584618,0.000672663,0.001439451,0.0005548463,0.001367916,0.0002095566,0.0004571555,0.0007226752],"category_scores_gemma":[0.0005862296,0.0002150755,0.0003801535,0.002602642,0.0005026224,0.0008554489,0.0008654963,0.0003591844,0.000222364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003762282,"about_ca_system_score_gemma":0.0006759882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002727466,"about_ca_topic_score_gemma":0.004469086,"domain_scores_codex":[0.9993902,0.00009182365,0.00004677382,0.0001490772,0.0001534054,0.000168614],"domain_scores_gemma":[0.9995407,0.00006676707,0.0002275207,0.00002525991,0.00008398276,0.0000558368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005805612,0.0001713052,0.7219592,0.0005408733,0.0001391574,0.0009525539,0.00156397,0.001027663,0.2322117,0.0007125079,0.0005119862,0.03962854],"study_design_scores_gemma":[0.0000126673,0.0002917077,0.9490272,0.0001084648,0.0001808582,0.001566502,0.005489586,0.002601772,0.03297572,0.001090562,0.006587785,0.00006723963],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971508,0.0007184049,0.0009174569,0.00008001838,0.00000470719,0.00001420543,0.000675111,0.00003702891,0.0004021749],"genre_scores_gemma":[0.9959059,0.0008250956,0.001724468,0.00005167898,0.00001092612,0.00002275468,0.001144687,0.00001475509,0.000299733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002727466,"threshold_uncertainty_score":0.005423129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00476829871552946,"score_gpt":0.2474863797805108,"score_spread":0.2427180810649813,"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."}}