{"id":"W1188758848","doi":"10.1021/acs.est.5b03231","title":"Metal–Polycyclic Aromatic Hydrocarbon Mixture Toxicity in <i>Hyalella azteca</i>. 1. Response Surfaces and Isoboles To Measure Non-additive Mixture Toxicity and Ecological Risk","year":2015,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge; Environment and Climate Change Canada; Lakehead University","funders":"Environment Canada; Syncrude; Natural Sciences and Engineering Research Council of Canada; Alberta Newsprint Company; Alberta-Pacific Forest Industries; Canadian Natural Resources Limited","keywords":"Hyalella azteca; Environmental chemistry; Toxicity; Phenanthrene; Chemistry; Biota; Polycyclic aromatic hydrocarbon; Ecotoxicology; Bioaccumulation; Ecology; Biology; Amphipoda; Crustacean; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000326725,0.0005382115,0.000482135,0.0003635561,0.0002557369,0.0006739579,0.0004036068,0.0005159754,0.0003608284],"category_scores_gemma":[0.0003057769,0.0002012623,0.0006837372,0.0004712609,0.0002711885,0.0003712824,0.0004861616,0.000583273,0.0001333316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001226564,"about_ca_system_score_gemma":0.0003965941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01267609,"about_ca_topic_score_gemma":0.01103445,"domain_scores_codex":[0.9995599,0.00006329059,0.00004151641,0.0001340452,0.0001679596,0.00003323552],"domain_scores_gemma":[0.9997479,0.00006125695,0.00009126337,0.00002154955,0.00005618628,0.00002186312],"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":[0.0002211982,0.0001097616,0.01096276,0.0002616401,0.00006192353,0.0001109112,0.00005808707,0.007642883,0.9746977,0.00008437669,0.00005819813,0.005730574],"study_design_scores_gemma":[0.00003117851,0.00257993,0.09922342,0.00002561299,0.0001347655,0.0002532037,0.0002535183,0.03232353,0.8631468,0.0002111339,0.001766522,0.00005040272],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954417,0.0004865849,0.002433292,0.00004606315,0.000006150317,0.00004883796,0.0007307904,0.00005048444,0.0007560487],"genre_scores_gemma":[0.9928324,0.0005411038,0.004723909,0.00005247369,0.000002852794,0.00006005418,0.0008306024,0.000008518843,0.0009480432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01267609,"threshold_uncertainty_score":0.0252046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007469200018578763,"score_gpt":0.2150630540239039,"score_spread":0.2075938540053251,"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."}}