{"id":"W2009225559","doi":"10.1016/j.envpol.2010.07.002","title":"Illicit drugs in Canadian municipal wastewater and estimates of community drug use","year":2010,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":192,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Trent University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Benzoylecgonine; Ecstasy; MDMA; Methamphetamine; Amphetamine; Illicit drug; Drug; Population; Environmental health; Medicine; Pharmacology; Metabolite; Psychiatry; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0008624841,0.0004864088,0.0002764951,0.002721494,0.002161118,0.001646032,0.0008702426,0.0005572349,0.001555465],"category_scores_gemma":[0.003914675,0.000319417,0.0007584528,0.0080434,0.0005228232,0.0004546191,0.0006905372,0.0005151569,0.0001816078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05500928,"about_ca_system_score_gemma":0.04652643,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9982597,"about_ca_topic_score_gemma":0.9990143,"domain_scores_codex":[0.998126,0.0001882335,0.0001031862,0.000124147,0.001168143,0.0002903921],"domain_scores_gemma":[0.9977736,0.0001770363,0.0002598003,0.00004057457,0.001605309,0.0001437479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002641641,0.00007568112,0.9549108,0.0002605679,0.0001695257,0.0001397003,0.001115835,0.003156216,0.001150691,0.001175531,0.005445044,0.03213626],"study_design_scores_gemma":[0.00001404,0.00002878989,0.9786468,0.00006735903,0.0001045533,0.00008061143,0.002465593,0.003619087,0.00158686,0.0001876936,0.01316565,0.00003292037],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9643017,0.003500078,0.00105559,0.001526161,0.00003766799,0.00008703011,0.0153869,0.0000514047,0.01405344],"genre_scores_gemma":[0.989403,0.002094223,0.001296539,0.0002245667,0.00001134875,0.00002804131,0.003108854,0.00001180725,0.00382157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05500928,"threshold_uncertainty_score":0.3991221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01522300683258849,"score_gpt":0.2482451927511165,"score_spread":0.233022185918528,"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."}}