{"id":"W4409911815","doi":"10.1016/j.ese.2025.100564","title":"Global antibiotic hotspots and risks: A One Health assessment","year":2025,"lang":"en","type":"review","venue":"Environmental Science and Ecotechnology","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Sichuan Province Science and Technology Support Program; National Natural Science Foundation of China","keywords":"Antibiotics; Environmental health; Medicine; Microbiology; 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":[0.003342308,0.0008857611,0.0009331231,0.007101978,0.0003711921,0.001918493,0.0009452065,0.001003505,0.00748062],"category_scores_gemma":[0.01329255,0.0002795916,0.0025689,0.01015987,0.000329325,0.001495192,0.002117241,0.0007251076,0.001662139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001673256,"about_ca_system_score_gemma":0.003850793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01933851,"about_ca_topic_score_gemma":0.0221439,"domain_scores_codex":[0.9970897,0.0009346092,0.0005954782,0.0005671984,0.0006146365,0.0001983831],"domain_scores_gemma":[0.9932239,0.003271037,0.001287627,0.0005836643,0.001457814,0.0001760843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006360748,0.00009976455,0.1936264,0.1009522,0.004818099,0.001035107,0.001238355,0.01607956,0.003478603,0.02189749,0.3421247,0.3140136],"study_design_scores_gemma":[0.0001128698,0.0001549624,0.120914,0.01448488,0.002361132,0.0006729156,0.001269048,0.003320621,0.00146279,0.008800684,0.8463367,0.0001094679],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"review","genre_scores_codex":[0.02080451,0.04817542,0.008571726,0.00505545,0.0002481405,0.0003093784,0.9045975,0.0006291108,0.01160875],"genre_scores_gemma":[0.183994,0.06914055,0.04077251,0.004167014,0.0003081346,0.001605756,0.6960172,0.0003037133,0.003691142],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01933851,"threshold_uncertainty_score":0.03845191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04634082330815317,"score_gpt":0.3795863860734459,"score_spread":0.3332455627652927,"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."}}