{"id":"W2056913884","doi":"10.1016/j.chemosphere.2012.03.016","title":"Evaluating pharmaceuticals and caffeine as indicators of fecal contamination in drinking water sources of the Greater Montreal region","year":2012,"lang":"en","type":"article","venue":"Chemosphere","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":160,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; Natural Sciences and Engineering Research Council; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Svenska Forskningsrådet Formas; Polytechnique Montréal; U.S. Environmental Protection Agency","keywords":"Naproxen; Environmental chemistry; Atrazine; Contamination; Environmental impact of pharmaceuticals and personal care products; Simazine; Wastewater; Chemistry; Sewage; Carbamazepine; Triclosan; Sewage treatment; Persistence (discontinuity); Environmental science; Environmental engineering; Pesticide; Ecology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002516909,0.0000950223,0.0001315944,0.000007449633,0.00003800297,0.000004780699,0.00009944031,0.00005328303,0.0005605817],"category_scores_gemma":[0.00002767251,0.00005469191,0.00003185968,0.00008775785,0.0003213741,0.0001496479,0.0002088,0.00009778506,0.00001613415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005330586,"about_ca_system_score_gemma":0.000001986183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001509359,"about_ca_topic_score_gemma":0.00001161569,"domain_scores_codex":[0.9991495,0.0000633925,0.0001933734,0.0001269632,0.0002277943,0.0002389556],"domain_scores_gemma":[0.999707,0.0000342745,0.00007086914,0.00009779425,0.000001682095,0.00008836372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001858072,0.00008827471,0.8164954,0.0000205891,0.000005821883,0.000001020033,0.001082088,0.00003364469,0.1557327,0.000006563417,0.00001056712,0.02650471],"study_design_scores_gemma":[0.0003226571,0.00001877321,0.4967773,0.00002748337,0.0000164568,0.000007128084,0.00009583294,0.0002104578,0.5023776,0.00004801096,0.00005264487,0.00004568006],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958802,0.00009374697,0.000005740812,0.0001797023,0.00002882151,0.0001527034,5.59793e-7,0.000004538161,0.00365401],"genre_scores_gemma":[0.9995444,0.00001778177,0.00006481547,0.0001350244,0.00001499758,0.000001704496,9.488091e-7,0.000007275066,0.0002130122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3466448,"threshold_uncertainty_score":0.6137977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03428202789510043,"score_gpt":0.3149762281214812,"score_spread":0.2806942002263808,"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."}}