{"id":"W1991792617","doi":"10.1016/j.chemosphere.2011.07.026","title":"Arsenic speciation in field-collected and laboratory-exposed earthworms Lumbricus terrestris","year":2011,"lang":"en","type":"article","venue":"Chemosphere","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Military College of Canada","funders":"Natural Environment Research Council; Canadian Institutes of Health Research; Sight Research UK","keywords":"Lumbricus terrestris; Environmental chemistry; Arsenate; Arsenite; Arsenobetaine; Earthworm; Chemistry; Arsenic; Plant litter; Mesocosm; Genetic algorithm; Botany; Biology; Ecology; Nutrient","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009202171,0.000236222,0.0001896033,0.0004427299,0.0003138507,0.0003397872,0.0002156513,0.0003030268,0.001058742],"category_scores_gemma":[0.0001685243,0.0001337956,0.0001325092,0.0002150544,0.0002256453,0.0001847971,0.0001503083,0.0001583965,0.0002062712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000349298,"about_ca_system_score_gemma":0.0002348195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01627361,"about_ca_topic_score_gemma":0.01855041,"domain_scores_codex":[0.9999427,0.000009677823,0.000004539263,0.00002028014,0.0000106655,0.00001223511],"domain_scores_gemma":[0.9999,0.00001458512,0.00002096705,0.000007784922,0.00003506174,0.00002159488],"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":[0.001119062,0.00007443192,0.03079322,0.00004337329,0.00003062144,0.0001310878,0.0002603023,0.0001605307,0.9639247,0.00005904435,0.00009106579,0.00331256],"study_design_scores_gemma":[0.00005590356,0.00256141,0.5611054,0.00001821927,0.0001227539,0.0004965349,0.001653264,0.001215614,0.4307475,0.000192562,0.001803048,0.00002772433],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993712,0.00009379345,0.00007790379,0.00001222291,0.000002200667,0.000002287625,0.0001370152,0.000007389079,0.0002960169],"genre_scores_gemma":[0.9973701,0.0001048165,0.0001798657,0.00002036014,0.000002136998,0.000003793958,0.0003783249,0.000003675449,0.001936864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01627361,"threshold_uncertainty_score":0.03235781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008683704705644503,"score_gpt":0.1750045398898719,"score_spread":0.1663208351842274,"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."}}