{"id":"W2582474590","doi":"10.1002/etc.3662","title":"Benthic injury dose–response models for polychlorinated biphenyl–contaminated sediment using equilibrium partitioning","year":2016,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dillon Consulting","funders":"National Oceanic and Atmospheric Administration","keywords":"Benthic zone; Environmental chemistry; Polychlorinated biphenyl; Sediment; Environmental science; Total organic carbon; Ceriodaphnia dubia; Ecotoxicology; Chemistry; Contamination; Benthos; Aquatic toxicology; EC50; Toxicity; Ecology; Acute toxicity; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005096166,0.0007572987,0.0003857546,0.0004788734,0.0002550164,0.000525513,0.0008547942,0.0005884399,0.0009483077],"category_scores_gemma":[0.000897616,0.0003369189,0.001086965,0.0002945536,0.0002611301,0.0003426634,0.000545562,0.0005179099,0.0001944181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001245229,"about_ca_system_score_gemma":0.0005804587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01450426,"about_ca_topic_score_gemma":0.00613989,"domain_scores_codex":[0.9998093,0.00006880243,0.00001356027,0.00003404068,0.00004177263,0.00003255813],"domain_scores_gemma":[0.9996622,0.0001525929,0.00006967128,0.00001618596,0.00008456031,0.00001473515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002177252,0.00002947148,0.001006339,0.00001670429,0.00001491593,0.00003150184,0.00001175079,0.9947805,0.002026663,0.0006970703,0.00003662909,0.001326636],"study_design_scores_gemma":[0.000004605111,0.00004026443,0.0003591929,0.000002265607,0.00000658104,0.000006617638,0.00000652102,0.9986026,0.000571913,0.0003119515,0.00008397591,0.000003571272],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5397865,0.0002755728,0.4519642,0.0001596835,0.00003174414,0.0002288155,0.0002557531,0.000256213,0.007041475],"genre_scores_gemma":[0.9824046,0.0001394111,0.01379848,0.00003992614,0.000005670469,0.0001559352,0.0001590857,0.00002081013,0.003275945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01450426,"threshold_uncertainty_score":0.02883965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01349603846685681,"score_gpt":0.2375923927264851,"score_spread":0.2240963542596283,"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."}}