{"id":"W2053195743","doi":"10.1016/j.marenvres.2004.07.002","title":"Assessment of metals in sediments from Lake Macquarie, New South Wales, Australia, using normalisation models and sediment quality guidelines","year":2004,"lang":"en","type":"article","venue":"Marine Environmental Research","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":136,"is_retracted":false,"has_abstract":false,"ca_institutions":"Department of Environment and Conservation","funders":"","keywords":"Sediment; Environmental science; Biota; Bay; Estuary; Mercury (programming language); Cockle; Cadmium; Arsenic; Environmental chemistry; Contamination; Hydrology (agriculture); Ecology; Geology; Oceanography; Chemistry; 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":[0.001161046,0.0004602333,0.0003726198,0.001133275,0.0008061366,0.001145764,0.0005486257,0.00063447,0.0003654837],"category_scores_gemma":[0.00280952,0.0004101291,0.0004514264,0.000984557,0.000443108,0.0005698354,0.0006068581,0.0002930287,0.0001363112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004269404,"about_ca_system_score_gemma":0.003468089,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5912799,"about_ca_topic_score_gemma":0.7477335,"domain_scores_codex":[0.9992397,0.0001688229,0.00009863442,0.0001275412,0.0003133511,0.00005188912],"domain_scores_gemma":[0.9988825,0.0002026244,0.0001658273,0.00005305241,0.0006556083,0.00004034987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009237975,0.0002426845,0.6361697,0.0008414638,0.0004263567,0.0009276454,0.002768991,0.2310863,0.02915537,0.002219184,0.002464911,0.09277357],"study_design_scores_gemma":[0.00009358001,0.0004202402,0.7508776,0.0001069262,0.0001733894,0.0002755428,0.001928614,0.2312441,0.008182853,0.001065136,0.00554474,0.00008739487],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994881,0.00008838996,0.002693418,0.0001158739,0.000004625405,0.00006893402,0.0004033147,0.0000543416,0.001690066],"genre_scores_gemma":[0.9913957,0.0001265046,0.005720893,0.00004418531,0.0000016782,0.00005639865,0.0006268639,0.0000155007,0.00201229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5912799,"threshold_uncertainty_score":0.8222542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2783401194552186,"score_gpt":0.4509275839092985,"score_spread":0.1725874644540799,"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."}}