{"id":"W3165297114","doi":"","title":"Chlorinated Dibenzo--Dioxins and Dibenzofurans in an Aquatic Food Chain. An Evaluation by Chemometrics","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Congener; Shellfish; Food chain; Sediment; Environmental science; Plankton; Chemometrics; Environmental chemistry; Fish <Actinopterygii>; Fishery; Ecology; Biology; Chemistry; Aquatic animal; Chromatography","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":[0.0006310708,0.0002933619,0.000135245,0.001631362,0.0001943515,0.0002786264,0.0001008431,0.0001590814,0.0006492142],"category_scores_gemma":[0.001250457,0.0001334943,0.0002064357,0.00221199,0.0002246853,0.0002803387,0.0002377797,0.0002218583,0.0002070246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000307624,"about_ca_system_score_gemma":0.0002347722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004438609,"about_ca_topic_score_gemma":0.005773112,"domain_scores_codex":[0.9995918,0.00009552324,0.0000304051,0.00005140395,0.0002057822,0.00002509468],"domain_scores_gemma":[0.9994656,0.0001396209,0.0001607646,0.00002971317,0.0001648126,0.00003952787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009178931,0.0002233113,0.5635888,0.000506075,0.0003065758,0.0002483762,0.0004267734,0.01394932,0.1197907,0.001740972,0.001159835,0.2971413],"study_design_scores_gemma":[0.00001234486,0.0003557758,0.9482015,0.00001348971,0.00005745321,0.0003181988,0.0001371999,0.0316447,0.01539923,0.0009586852,0.002885047,0.00001636308],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765345,0.001262,0.0176586,0.00005489261,0.0000183157,0.00005327553,0.001067338,0.00007289121,0.003278299],"genre_scores_gemma":[0.9859433,0.0005655311,0.01124366,0.00001529048,0.00001026747,0.0000444943,0.001117049,0.000008207919,0.001052313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004438609,"threshold_uncertainty_score":0.008825541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01827460470120024,"score_gpt":0.2626415852591336,"score_spread":0.2443669805579334,"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."}}