{"id":"W4205349564","doi":"10.3390/antibiotics11010063","title":"Antimicrobial Resistance and Environmental Health: A Water Stewardship Framework for Global and National Action","year":2022,"lang":"en","type":"article","venue":"Antibiotics","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; United Nations University Institute for Water, Environment, and Health","funders":"","keywords":"Sanitation; Business; Stewardship (theology); Environmental planning; Action plan; Environmental resource management; Global health; Scope (computer science); Water supply; Public health; Environmental health; Environmental science; Political science; Medicine; Environmental engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002676759,0.0001424504,0.0001370445,0.00001349103,0.000564231,0.00003596677,0.00009360113,0.00004607268,0.0002771472],"category_scores_gemma":[0.00001519469,0.0001273382,0.00004390681,0.00005520774,0.0002828585,0.0001324387,0.0003808445,0.0001519167,0.00001987107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003396696,"about_ca_system_score_gemma":0.000008130971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000169232,"about_ca_topic_score_gemma":0.00001445818,"domain_scores_codex":[0.9987463,0.00005913145,0.0001746362,0.0003442671,0.0003128394,0.0003628365],"domain_scores_gemma":[0.9996482,0.00004581235,0.00005521193,0.00008650035,0.000001057936,0.0001632728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001378113,0.003450244,0.5125096,0.0007125219,0.0002862463,0.0000649045,0.003034548,0.001949789,0.3737062,0.02083277,0.03908587,0.04298926],"study_design_scores_gemma":[0.006329525,0.001650108,0.4481968,0.0001685116,0.0002060586,0.0006481885,0.002325568,0.005200512,0.1326186,0.07715706,0.3228856,0.002613394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926431,0.0001672664,0.00142701,0.004261615,0.0001980525,0.0003703047,0.0004287122,0.00002722561,0.000476772],"genre_scores_gemma":[0.9913,0.0001727059,0.00484474,0.003210054,0.00004616794,7.873158e-7,0.00007339729,0.0000132926,0.0003388677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2837997,"threshold_uncertainty_score":0.5192701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03699095173869758,"score_gpt":0.3138444951544854,"score_spread":0.2768535434157878,"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."}}