{"id":"W2416180300","doi":"10.1016/j.envint.2016.05.023","title":"High levels, partitioning and fish consumption based water guidelines of perfluoroalkyl acids downstream of a former firefighting training facility in Canada","year":2016,"lang":"en","type":"article","venue":"Environment International","topic":"Per- and polyfluoroalkyl substances research","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor; Ministry of the Environment, Conservation and Parks","funders":"U.S. Environmental Protection Agency","keywords":"Firefighting; Environmental science; Fish <Actinopterygii>; Contamination; Water consumption; Upstream and downstream (DNA); Fish consumption; Environmental chemistry; Hydrology (agriculture); Fishery; Chemistry; Ecology; Biology; Upstream (networking); Environmental engineering; Geology","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":[0.0001714069,0.0001299283,0.0001351566,0.0003291878,0.002420342,0.0008614222,0.0005903921,0.0003151537,0.0008019609],"category_scores_gemma":[0.0004194799,0.0001780116,0.0001440737,0.0005276893,0.000620099,0.0001901559,0.0003642504,0.0003703262,0.0001144127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01937448,"about_ca_system_score_gemma":0.02102025,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9858029,"about_ca_topic_score_gemma":0.9957002,"domain_scores_codex":[0.9996486,0.00002513167,0.00001122096,0.00005751523,0.0001146112,0.0001429525],"domain_scores_gemma":[0.9994918,0.00002268803,0.00005712425,0.000006872711,0.0003227303,0.00009880073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000219613,0.0001357735,0.9602926,0.00004431588,0.00003097035,0.0004594903,0.004054481,0.001456782,0.01842778,0.0005760194,0.001406636,0.01289555],"study_design_scores_gemma":[0.00000353792,0.00004346123,0.9865529,0.00001297847,0.00001104568,0.00005564718,0.008601941,0.001245426,0.002071135,0.00005954303,0.001331732,0.00001053265],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998121,0.00002052153,0.0001371137,0.0001232046,0.000002026866,0.000009596696,0.0001538702,0.000005108485,0.00142741],"genre_scores_gemma":[0.9976253,0.00003014132,0.0002571811,0.00004538906,6.162383e-7,0.000003840933,0.0001266791,0.000003069255,0.001907836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01937448,"threshold_uncertainty_score":0.1405724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05353435511401471,"score_gpt":0.2599932554251072,"score_spread":0.2064589003110925,"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."}}