{"id":"W2069776635","doi":"10.1016/j.envint.2008.02.001","title":"Converting Toxic Equivalents (TEQ) of dioxins and dioxin-like compounds in fish from one Toxic Equivalency Factor (TEF) scheme to another","year":2008,"lang":"en","type":"article","venue":"Environment International","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":101,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of the Environment, Conservation and Parks","funders":"","keywords":"Toxic equivalency factor; Environmental chemistry; Fish <Actinopterygii>; Congener; Polychlorinated dibenzodioxins; Chemistry; Polychlorinated dibenzofurans; Furan; Polychlorinated Dibenzo-p-dioxins; Animal science; Polychlorinated biphenyl; Persistent organic pollutant; Toxicology; Pollutant; Biology; Fishery; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001423306,0.0002542064,0.0002860064,0.0001006077,0.00006628161,0.0000167827,0.0005065519,0.00009716008,0.0192064],"category_scores_gemma":[0.00006660877,0.0002707104,0.000065839,0.0001110297,0.0002681575,0.0002921977,0.0005894257,0.0001763483,0.0004467872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006614942,"about_ca_system_score_gemma":0.00001350523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002071119,"about_ca_topic_score_gemma":0.00007026676,"domain_scores_codex":[0.9976167,0.00005867553,0.0005212658,0.0005386933,0.0008696045,0.0003950464],"domain_scores_gemma":[0.9992066,0.00009122682,0.000182787,0.0003390119,0.00000140897,0.0001789812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005870763,0.0003939804,0.4401915,0.000002950332,0.00006259217,0.00001945652,0.001240637,0.00009471833,0.5525395,0.000007823824,0.0003191583,0.005068913],"study_design_scores_gemma":[0.001062628,0.0001121937,0.9546194,0.00004605303,0.000007300787,0.00001189003,0.00004389575,0.0005894151,0.03992129,0.00009970433,0.003187587,0.0002986609],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952719,0.00003139598,0.0009571708,0.0005951117,0.0003685659,0.0002530458,0.0005703935,0.00002696868,0.001925455],"genre_scores_gemma":[0.9935732,0.00009883376,0.004287172,0.0007123942,0.0000995845,0.000009498752,0.00001437122,0.00003698452,0.001167905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5144278,"threshold_uncertainty_score":0.9999745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03077423372960952,"score_gpt":0.243686885449733,"score_spread":0.2129126517201235,"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."}}