{"id":"W2079001208","doi":"10.1021/es201608q","title":"Veterinary Drug Residues in Seafood Inspected by the European Union, United States, Canada, and Japan from 2000 to 2009","year":2011,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Johns Hopkins University","keywords":"Veterinary drug; Veterinary Drugs; European union; Catfish; Shrimp; Transparency (behavior); Fishery; Business; Aquaculture; Veterinary medicine; Biotechnology; Biology; Fish <Actinopterygii>; International trade; Medicine; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006485621,0.0003306082,0.0001777401,0.002400948,0.0007144507,0.000798918,0.000426098,0.0002482478,0.0006473248],"category_scores_gemma":[0.002517622,0.0002530787,0.0002504593,0.003781304,0.0006147842,0.0003331565,0.0006274132,0.0002985878,0.0001077578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005525522,"about_ca_system_score_gemma":0.004991251,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8669962,"about_ca_topic_score_gemma":0.9311057,"domain_scores_codex":[0.9988157,0.00009253421,0.0001232218,0.0001328828,0.0006005949,0.00023508],"domain_scores_gemma":[0.9960766,0.0002093837,0.001517057,0.00009618573,0.001836273,0.0002644728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008166582,0.00002446221,0.9914994,0.00003063237,0.00004064098,0.0001224828,0.0005457205,0.0001517738,0.0005197433,0.00004295487,0.0006292383,0.006311284],"study_design_scores_gemma":[0.00000180538,0.00002506222,0.9970706,0.00001973295,0.00002128444,0.00009530667,0.0008872023,0.0001463739,0.0004785529,0.000006484574,0.001242162,0.000005485106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940808,0.0005380159,0.00009273134,0.00005636683,0.00000457671,0.00001903906,0.002690546,0.0000130808,0.002504744],"genre_scores_gemma":[0.9919167,0.0009908032,0.0004327294,0.0001173711,0.00000393,0.00001265929,0.004380282,0.000008549367,0.002137075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1330038,"threshold_uncertainty_score":0.2675741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01179158618919744,"score_gpt":0.2143400179774948,"score_spread":0.2025484317882974,"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."}}