{"id":"W2046159411","doi":"10.1021/es501509r","title":"Flame Retardants and Legacy Chemicals in Great Lakes’ Water","year":2014,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":183,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"U.S. Environmental Protection Agency","keywords":"Polybrominated diphenyl ethers; Dieldrin; Environmental chemistry; Environmental science; Organophosphate; Pesticide; Organochlorine pesticide; Pollutant; Chemistry; Ecology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006602358,0.0002207572,0.0002265723,0.0002434824,0.0001980484,0.00004519435,0.0007405679,0.0001673941,0.002588636],"category_scores_gemma":[0.00009647039,0.0001688075,0.0000238301,0.0005954861,0.004314311,0.0006991561,0.001022696,0.0002773264,0.001262164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005521475,"about_ca_system_score_gemma":0.000006979538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000264839,"about_ca_topic_score_gemma":0.0000372045,"domain_scores_codex":[0.9975954,0.00003014459,0.0002585161,0.000766642,0.0004447732,0.000904575],"domain_scores_gemma":[0.9992036,0.00001874431,0.00005149025,0.0005345097,2.615819e-7,0.0001913607],"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":[0.000004328854,0.00003785083,0.06055231,6.212529e-7,0.000001145191,0.000008905632,0.0001502337,0.000005486758,0.8640192,0.0000207159,0.0000152517,0.07518394],"study_design_scores_gemma":[0.0005431009,0.0001388552,0.2562671,0.000008793215,0.00000599542,0.0001614035,0.0001725984,0.00044948,0.7307807,0.002644606,0.008472474,0.0003548582],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941269,0.0000348839,0.00004440283,0.001442527,0.00007450472,0.0001768775,0.000005483759,0.00009527137,0.003999185],"genre_scores_gemma":[0.9988268,0.00003401225,0.0004961077,0.0002509555,0.00001507377,0.000008123739,6.276286e-7,0.00001722441,0.0003510689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1957148,"threshold_uncertainty_score":0.9995155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003822510262898862,"score_gpt":0.1990014217041597,"score_spread":0.1951789114412608,"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."}}