{"id":"W2470094818","doi":"10.2166/wpt.2016.035","title":"Occurrence, removal, and environmental impacts of emerging contaminants detected in water and wastewater in Southern Ontario—Part I: occurrence and removal","year":2016,"lang":"en","type":"article","venue":"Water Practice & Technology","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; Ministry of the Environment, Conservation and Parks","funders":"","keywords":"Effluent; Nonylphenol; Environmental chemistry; Polybrominated diphenyl ethers; Sewage treatment; Wastewater; Contamination; Environmental science; Chemistry; Pollutant; Environmental engineering; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004358464,0.0002691208,0.0003137704,0.0001736512,0.00006561241,0.00002011573,0.0001580019,0.0001975929,0.0004722746],"category_scores_gemma":[0.00007264919,0.0001535706,0.00001765734,0.00009754854,0.001061858,0.0006645665,0.0007178762,0.0003161934,0.00009163078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001675808,"about_ca_system_score_gemma":0.000006284605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002139193,"about_ca_topic_score_gemma":0.002667222,"domain_scores_codex":[0.9980223,0.0001041316,0.0004222409,0.0005720405,0.0001990412,0.0006803098],"domain_scores_gemma":[0.9994477,0.00007581458,0.00009415281,0.0002340169,0.000002415739,0.0001458938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001320742,0.0001621727,0.2967459,0.00001449287,0.00001041141,0.0002553251,0.002327214,0.000001096758,0.6870071,0.000001725079,0.00001308947,0.01332937],"study_design_scores_gemma":[0.004402724,0.0006080353,0.06253082,0.0002674082,0.0000838975,0.00264897,0.00346219,0.00006789547,0.9018958,0.0004927362,0.02272141,0.0008181735],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978555,0.0001572921,0.000004764508,0.001462983,0.00005153485,0.0002571231,0.00005236888,0.00002371224,0.0001346667],"genre_scores_gemma":[0.9990362,0.0004439914,0.0002283017,0.0001014544,0.000004452833,0.000005522205,0.00001243657,0.000009462879,0.000158178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2342151,"threshold_uncertainty_score":0.6262426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01335540819944858,"score_gpt":0.2510119744356092,"score_spread":0.2376565662361606,"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."}}