{"id":"W2114191440","doi":"10.1002/ieam.116","title":"Application of the tissue residue approach in ecological risk assessment","year":2010,"lang":"en","type":"review","venue":"Integrated Environmental Assessment and Management","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Residue (chemistry); Bioaccumulation; Organism; Risk assessment; Stressor; Environmental science; Biochemical engineering; Exposure assessment; Biotic Ligand Model; Computer science; Risk analysis (engineering); Ecology; Biology; Ecotoxicology; Mathematics; Business; Engineering; Statistics","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":[0.0008497592,0.0007004027,0.001202959,0.0001621433,0.0002959929,0.00003814416,0.0009009995,0.0007850528,0.00131135],"category_scores_gemma":[0.000005233662,0.0004728736,0.000258969,0.000452964,0.001072949,0.000149599,0.001770839,0.001718921,0.00009467686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001269712,"about_ca_system_score_gemma":0.00002220015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009498311,"about_ca_topic_score_gemma":0.0002321449,"domain_scores_codex":[0.9961255,0.0006699898,0.001048811,0.001131425,0.0004750405,0.0005492318],"domain_scores_gemma":[0.9980834,0.0001323518,0.000802625,0.0008535654,0.000001232077,0.0001268929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009449235,0.001977951,0.04252536,0.0007597367,0.0001541003,0.00001758933,0.00003350706,0.0002036421,0.0001503576,0.0006357142,0.0005328425,0.9529998],"study_design_scores_gemma":[0.0005608645,0.0001975829,0.1640944,0.0002566863,0.0006167282,0.00002852285,0.0001473389,0.0004921405,0.00002638882,0.0004128884,0.8325849,0.0005815735],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03408293,0.6955441,0.006463104,0.0003557998,0.002070199,0.03305474,0.0008944414,0.0002587764,0.2272759],"genre_scores_gemma":[0.01602161,0.9732199,0.007302368,0.00008925768,0.00002709343,0.001662504,0.0002404984,0.00005996315,0.001376777],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9524182,"threshold_uncertainty_score":0.9997723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01183215770776015,"score_gpt":0.2928199694133994,"score_spread":0.2809878117056392,"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."}}