{"id":"W2433161656","doi":"10.1002/etc.3518","title":"Interlaboratory evaluation of the assessment of arsenic bioaccumulation from field collected sediments using <i>Hexagenia</i> spp","year":2016,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Universities’ Application Centre; Canadian Nuclear Laboratories; Toronto Metropolitan University; Ministry of the Environment, Conservation and Parks","funders":"","keywords":"Bioaccumulation; Arsenic; Environmental science; Environmental chemistry; Sediment; Contamination; Mayfly; Biomonitoring; Ecotoxicology; Ecology; Biology; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01002682,0.001301994,0.0005320201,0.001435196,0.001608409,0.001104587,0.001316305,0.0008598624,0.00122874],"category_scores_gemma":[0.009130886,0.0006237708,0.00101642,0.001557084,0.001520699,0.000381335,0.001786123,0.0006854333,0.0007128926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001926115,"about_ca_system_score_gemma":0.002768068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01261187,"about_ca_topic_score_gemma":0.02688367,"domain_scores_codex":[0.9806414,0.005925744,0.002054119,0.003952483,0.006956408,0.0004698845],"domain_scores_gemma":[0.9867115,0.001732324,0.002428713,0.002976661,0.005760348,0.0003904663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001455745,0.0008906664,0.06428705,0.0003003354,0.0005224711,0.0001039279,0.001152525,0.001914327,0.9001931,0.0003362906,0.0007626753,0.0280808],"study_design_scores_gemma":[0.0002311888,0.01253846,0.2612432,0.0000842418,0.0007885817,0.0006124392,0.0005248091,0.003851905,0.7102538,0.0004325021,0.00931472,0.0001241269],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9043043,0.000631531,0.08253666,0.0002051255,0.0002156014,0.002827236,0.002759002,0.0007060694,0.005814541],"genre_scores_gemma":[0.8486353,0.0005249541,0.1303748,0.0005430477,0.0001122691,0.00437176,0.008446449,0.0002485477,0.006742894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01261187,"threshold_uncertainty_score":0.05302757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153564480232892,"score_gpt":0.2646424048338528,"score_spread":0.2492859568105636,"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."}}