{"id":"W2084868787","doi":"10.1016/j.envint.2015.04.001","title":"Global occurrence of anti-infectives in contaminated surface waters: Impact of income inequality between countries","year":2015,"lang":"en","type":"article","venue":"Environment International","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":135,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Contamination; Environmental science; Economic inequality; Inequality; Economics; Environmental engineering; Mathematics; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00063684,0.0001936575,0.0002876412,0.001153159,0.000359307,0.001129494,0.0003213532,0.0003120685,0.002885144],"category_scores_gemma":[0.0023598,0.0001781056,0.0005662398,0.00247612,0.000619823,0.00100584,0.001831328,0.0006020074,0.0001630298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005365576,"about_ca_system_score_gemma":0.0004525587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03014544,"about_ca_topic_score_gemma":0.03003223,"domain_scores_codex":[0.9992211,0.0002240578,0.00005835467,0.000101417,0.00008329176,0.000311838],"domain_scores_gemma":[0.9981378,0.0003223349,0.0009468991,0.0001018784,0.0002538248,0.000237188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007471479,0.00002183582,0.9947076,0.00002426118,0.0001051324,0.00007880152,0.0003687444,0.0001772874,0.0001156472,0.0004348486,0.000186127,0.003704854],"study_design_scores_gemma":[0.000001037098,0.00002142454,0.9983241,0.00002082706,0.00002317537,0.00003943275,0.001025078,0.0001191974,0.00003138554,0.0001273337,0.000264224,0.000002817652],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945282,0.001145931,0.0001397468,0.0004933423,0.00001373154,0.000005842724,0.0009805714,0.000002882159,0.002689658],"genre_scores_gemma":[0.9991641,0.0003763645,0.00003753037,0.00002448295,0.000008556908,0.000002993148,0.0002645997,0.000001481597,0.0001198299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03014544,"threshold_uncertainty_score":0.05993992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02719566040918235,"score_gpt":0.3239631799083053,"score_spread":0.2967675194991229,"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."}}