{"id":"W2028248436","doi":"10.1021/es011156h","title":"Distribution of Haloacetic Acids in the Water Columns of the Laurentian Great Lakes and Lake Malawi","year":2002,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Chinese Academy of Agricultural Sciences; National Water Research Institute","keywords":"Haloacetic acids; Hydrology (agriculture); Environmental science; Water column; Watershed; Environmental chemistry; Population; Geology; Oceanography; Environmental engineering; Chemistry; Water treatment","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001172079,0.0002608101,0.0001976739,0.0009098818,0.000545477,0.0006396628,0.0001587309,0.0002134361,0.0004397733],"category_scores_gemma":[0.0003080395,0.0002368066,0.0002007119,0.0009844144,0.0005650491,0.0003236938,0.0006748546,0.0001763723,0.0000793078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008533493,"about_ca_system_score_gemma":0.0006361436,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0836179,"about_ca_topic_score_gemma":0.1444415,"domain_scores_codex":[0.9998668,0.00001674806,0.000009589447,0.00003344841,0.00002838477,0.00004501555],"domain_scores_gemma":[0.9997436,0.00002651882,0.0001248313,0.000007284828,0.0000514274,0.00004626178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001837448,0.00001572692,0.9284016,0.00007544482,0.00007234205,0.000328148,0.003311617,0.0001346078,0.06077666,0.00007730565,0.00008444304,0.006538349],"study_design_scores_gemma":[0.000001079542,0.00002196218,0.9984431,0.000003620232,0.000006697934,0.0000462865,0.0004950286,0.00005186862,0.0006429118,0.000005140972,0.0002794254,0.000002885799],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990861,0.0002668364,0.0000433769,0.00002090422,8.978273e-7,0.000004763378,0.0001408386,0.000002819736,0.0004333154],"genre_scores_gemma":[0.9988502,0.0002629326,0.0002203696,0.00003074116,0.000003013299,0.0000115919,0.0001797952,0.000001752695,0.0004396292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9163821,"threshold_uncertainty_score":0.1662624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009983821959662215,"score_gpt":0.2103661503073843,"score_spread":0.200382328347722,"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."}}