{"id":"W4411690742","doi":"10.1016/j.envpol.2025.126739","title":"A survey of antibiotic contamination in tap water and associated health risks in China","year":2025,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"National Natural Science Foundation of China; Royal Society","keywords":"Contamination; Tap water; China; Environmental health; Environmental science; Water contamination; Geography; Medicine; Environmental engineering; Biology; Ecology; Archaeology","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":[0.0005427827,0.0003761879,0.0003275818,0.002103291,0.0007474387,0.0005157573,0.0003297086,0.0004563912,0.0008864678],"category_scores_gemma":[0.0004727059,0.0003046081,0.0004335577,0.00309011,0.0004215964,0.0004471699,0.0006154472,0.0002233026,0.00009142641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009844238,"about_ca_system_score_gemma":0.002714354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07679459,"about_ca_topic_score_gemma":0.07882398,"domain_scores_codex":[0.9995022,0.00006617807,0.00008044884,0.00008050517,0.0001877716,0.00008294306],"domain_scores_gemma":[0.9992477,0.00007581876,0.0002676309,0.00002513338,0.0002315101,0.0001521523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002917681,0.00005212572,0.991511,0.00006501942,0.00004119412,0.0004155314,0.0007857722,0.00007505008,0.003149511,0.00003900371,0.0001129558,0.003723478],"study_design_scores_gemma":[0.000001662584,0.00007289361,0.9974921,0.000007568234,0.00002291931,0.0001911561,0.001211918,0.0001316653,0.0002755861,0.00002056847,0.0005666994,0.000005339421],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987961,0.000181568,0.0001072634,0.00007025256,0.000002386293,0.00002028059,0.0003354597,0.000003257901,0.0004833644],"genre_scores_gemma":[0.9984779,0.0004098131,0.0001175462,0.00007834825,0.000005890291,0.00001245791,0.000291069,0.000001210828,0.0006057938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07679459,"threshold_uncertainty_score":0.1526952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02288990471294056,"score_gpt":0.2974748732196877,"score_spread":0.2745849685067471,"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."}}