{"id":"W2067629726","doi":"10.1016/j.chemosphere.2012.09.070","title":"An approach for assessing potential sediment-bound contaminant threats near the intake of a drinking water treatment plant","year":2012,"lang":"en","type":"article","venue":"Chemosphere","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Environmental science; Leachate; Sediment; Environmental remediation; Contamination; Context (archaeology); Environmental chemistry; Environmental engineering; Chemistry; Ecology; Geology","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":[0.0003360486,0.0003462721,0.0002203459,0.0009668791,0.0009518933,0.0007184168,0.0005061959,0.0006495431,0.001043837],"category_scores_gemma":[0.0006105006,0.0002313562,0.000346585,0.0006213289,0.0003643956,0.0004153221,0.0008823692,0.0004414101,0.0001730623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008586621,"about_ca_system_score_gemma":0.001900462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0185652,"about_ca_topic_score_gemma":0.0400138,"domain_scores_codex":[0.9997187,0.00008955011,0.00001064454,0.00004385971,0.0001101252,0.00002709449],"domain_scores_gemma":[0.9997942,0.00005940951,0.00003393747,0.00001796886,0.00007128713,0.00002324346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0017339,0.002026948,0.1877632,0.000354162,0.0001667866,0.0007015807,0.001720094,0.03846932,0.6420492,0.004599092,0.0005659974,0.1198498],"study_design_scores_gemma":[0.0003307194,0.0142934,0.2985695,0.00006365419,0.0005205989,0.0009145408,0.01015045,0.2995162,0.359977,0.007707937,0.007758886,0.0001971324],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562622,0.00005747619,0.0356196,0.00007638715,0.000009223716,0.0004100853,0.0002770154,0.00007540871,0.007212567],"genre_scores_gemma":[0.9502568,0.0001111323,0.04682987,0.00003728448,0.000002445884,0.0002258445,0.0001087884,0.00000485989,0.002422858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0185652,"threshold_uncertainty_score":0.03691429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02271946326797106,"score_gpt":0.2512415965133782,"score_spread":0.2285221332454072,"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."}}