{"id":"W1955494578","doi":"10.1002/ieam.1443","title":"The use of traits-based approaches and eco(toxico)logical models to advance the ecological risk assessment framework for chemicals","year":2013,"lang":"en","type":"article","venue":"Integrated Environmental Assessment and Management","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Toxicodynamics; Ecology; Population; Environmental resource management; Risk assessment; Ecosystem model; Biomonitoring; Ecosystem; Computer science; Environmental science; Biology; Environmental health; Toxicokinetics","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":[],"consensus_categories":[],"category_scores_codex":[0.0005789025,0.0004074406,0.0003666967,0.00004119198,0.0007729644,0.0001516489,0.0004389329,0.0002298808,0.0007951524],"category_scores_gemma":[0.00002472073,0.0002368676,0.0001181775,0.0001476315,0.001257879,0.0003276169,0.0007109084,0.000441643,0.00002817135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000379864,"about_ca_system_score_gemma":0.00000653126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002645865,"about_ca_topic_score_gemma":0.00004370198,"domain_scores_codex":[0.997492,0.0002517089,0.0005437106,0.0007635087,0.0003415018,0.000607606],"domain_scores_gemma":[0.9981322,0.0009940836,0.0002458796,0.0004073037,0.00000330542,0.000217208],"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":[0.0008375342,0.007573654,0.1736069,0.0001721905,0.001298319,0.00002540659,0.0007762404,0.1509052,0.03447749,0.0865784,0.02019116,0.5235575],"study_design_scores_gemma":[0.001796023,0.001929065,0.7628524,0.00004849027,0.0002969069,0.000009851184,0.00229095,0.1303812,0.002358761,0.05528063,0.04185052,0.000905175],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8978643,0.00009048449,0.09214211,0.003635066,0.000117423,0.004413591,0.0000913889,0.00004468126,0.001600912],"genre_scores_gemma":[0.8803134,0.0009108712,0.1144643,0.001508316,0.00001737851,0.002268675,0.00002810713,0.00002689852,0.0004620746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5892455,"threshold_uncertainty_score":0.9659182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.043778694715269,"score_gpt":0.2700095940040683,"score_spread":0.2262308992887993,"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."}}