{"id":"W1984205790","doi":"10.1002/etc.5620210403","title":"Evaluating and expressing the propagation of uncertainty in chemical fate and bioaccumulation models","year":2002,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":223,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Uncertainty analysis; Monte Carlo method; Propagation of uncertainty; Sensitivity (control systems); Bioaccumulation; Sensitivity analysis; Variance (accounting); Computer science; Identification (biology); Uncertainty quantification; Econometrics; Mathematics; Statistics; Ecology; Algorithm; Simulation; Engineering; Machine learning","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":[0.0001672658,0.00009288636,0.00009606901,0.00000621559,0.00006813918,0.000008044938,0.00005333879,0.00009739949,0.0005451637],"category_scores_gemma":[0.00002615533,0.00007426507,0.000008938239,0.00003387713,0.0005566233,0.0001257239,0.0001364058,0.0001143766,0.000001826807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008220828,"about_ca_system_score_gemma":0.000001618422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006067949,"about_ca_topic_score_gemma":0.000001527609,"domain_scores_codex":[0.9993485,0.00003591264,0.0001562009,0.0002131369,0.0001079251,0.0001383393],"domain_scores_gemma":[0.9997273,0.00005755101,0.00007455325,0.0000952936,1.559143e-7,0.00004515569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001068315,0.00003715882,0.006000154,0.000005154528,0.000002982379,8.542619e-7,0.0006538905,0.0005543495,0.9440416,9.99219e-7,0.000002799127,0.04868934],"study_design_scores_gemma":[0.001062138,0.00006322735,0.1228151,0.00002530623,0.00002344601,0.00008638248,0.0005300547,0.3094124,0.5646421,0.001110077,0.00001581263,0.0002139717],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989187,0.0002773547,0.00001679277,0.0001473103,0.000006682741,0.0001023156,0.000008586239,0.00000544255,0.0005168728],"genre_scores_gemma":[0.9995853,0.00009695566,0.0001896154,0.0000464687,0.000009728225,0.000004613026,0.000001177216,0.000005892136,0.00006026962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3793996,"threshold_uncertainty_score":0.596916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03194378256946379,"score_gpt":0.2640228716813839,"score_spread":0.2320790891119202,"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."}}