{"id":"W4407957060","doi":"10.1016/j.marpolbul.2025.117731","title":"Historical distribution and multi-dimensional environmental risk assessments of antibiotics in coastal sediments affected by land-based human activities","year":2025,"lang":"en","type":"article","venue":"Marine Pollution Bulletin","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Distribution (mathematics); Environmental science; Environmental risk assessment; Risk assessment; Oceanography; Ecology; Physical geography; Geography; Geology; Biology","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":[0.0002829719,0.000178033,0.0001115326,0.002024538,0.0002200908,0.0005072987,0.0001743471,0.0002082166,0.0007318056],"category_scores_gemma":[0.0007112097,0.0001495979,0.0003240612,0.002104156,0.0002506074,0.0003892017,0.0004909868,0.0001058203,0.0001792451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005786844,"about_ca_system_score_gemma":0.0001813365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01540238,"about_ca_topic_score_gemma":0.02918393,"domain_scores_codex":[0.9998429,0.00002319691,0.0000308975,0.00003342346,0.00004391035,0.00002577246],"domain_scores_gemma":[0.9993753,0.00008973697,0.0002828865,0.00003957525,0.0001671147,0.00004534419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001350023,0.00003671512,0.9695665,0.00004635763,0.0001136543,0.0002180551,0.0001992824,0.01217472,0.001603713,0.0002935859,0.0003245657,0.01528778],"study_design_scores_gemma":[0.000001812901,0.0000363464,0.9935328,0.000006862288,0.00003442652,0.0001247308,0.0002703505,0.004385003,0.0004254251,0.00009810103,0.001077634,0.000006383936],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959903,0.000160135,0.0005071055,0.0000289506,0.000002009947,0.000004037135,0.002303648,0.00001866359,0.0009850842],"genre_scores_gemma":[0.9981874,0.0001301596,0.0002586253,0.000003516652,0.000001874711,0.000002956927,0.001101485,0.000001540525,0.0003124758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01540238,"threshold_uncertainty_score":0.03062546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009603974284652811,"score_gpt":0.2629569645107528,"score_spread":0.2533529902261,"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."}}