{"id":"W4281764511","doi":"10.1002/ieam.4645","title":"Evaluation of effects-based methods as monitoring tools for assessing ecological impacts of metals in aquatic ecosystems","year":2022,"lang":"en","type":"article","venue":"Integrated Environmental Assessment and Management","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nickel Institute","funders":"International Molybdenum Association; International Zinc Association; International Copper Association; Nickel Producers Environmental Research Association","keywords":"Toxicant; European union; Water Framework Directive; Population; Ecosystem; Aquatic ecosystem; Biota; Organism; Environmental science; Aquatic environment; Environmental chemistry; Pollutant; Ecology; Environmental health; Biology; Chemistry; Medicine; Toxicity; Water quality; Business","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":[0.07604298,0.002386317,0.001779879,0.00511403,0.0005041225,0.00352147,0.003157704,0.002450474,0.001838551],"category_scores_gemma":[0.06119378,0.0006894509,0.002738612,0.002328716,0.001429739,0.003607276,0.00299412,0.001404996,0.0004444291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002649287,"about_ca_system_score_gemma":0.002166075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001999406,"about_ca_topic_score_gemma":0.003049881,"domain_scores_codex":[0.9525881,0.02837869,0.002099436,0.00239086,0.01402348,0.0005194388],"domain_scores_gemma":[0.9423131,0.03056679,0.007386099,0.004144683,0.01480217,0.0007871845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002464387,0.0009612999,0.1079811,0.01090774,0.004936063,0.0003060483,0.0004868997,0.03675821,0.05639115,0.01590986,0.00246913,0.7604281],"study_design_scores_gemma":[0.0007318132,0.03243916,0.2109437,0.01308294,0.01390609,0.00241819,0.002302714,0.2542906,0.2710184,0.04280701,0.1550864,0.0009730217],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2236342,0.0994612,0.6297004,0.006348304,0.0007465381,0.004815223,0.002375473,0.000742775,0.03217595],"genre_scores_gemma":[0.55276,0.03089449,0.4068619,0.002013302,0.0002440084,0.001812613,0.001167829,0.000116063,0.004129854],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07604298,"threshold_uncertainty_score":0.4021585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04384339418239511,"score_gpt":0.3834309972471904,"score_spread":0.3395876030647953,"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."}}