{"id":"W2326809210","doi":"10.1021/es5038468","title":"Arsenic Speciation in Edible Mushrooms","year":2014,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"Argonne National Laboratory; Natural Sciences and Engineering Research Council of Canada; Office of Science; Aurora Research Institute; Canadian Light Source","keywords":"Arsenic; Arsenobetaine; Genetic algorithm; Biology; Environmental chemistry; Agaricus bisporus; Botany; Chemistry; Mushroom; Arsenite; Ecology; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007046307,0.0003322544,0.0002498459,0.000901324,0.0004526264,0.0005151358,0.0001946314,0.0001795133,0.0007146949],"category_scores_gemma":[0.0001595917,0.0001504173,0.0002080453,0.0007817884,0.0002835009,0.000228876,0.0003396984,0.0001864304,0.0002055724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003428987,"about_ca_system_score_gemma":0.0001578289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01112304,"about_ca_topic_score_gemma":0.01327388,"domain_scores_codex":[0.999898,0.000008470503,0.000007923579,0.00003626525,0.00002960765,0.00001983953],"domain_scores_gemma":[0.9999217,0.000009196887,0.00001656589,0.00000547193,0.00002991699,0.00001715025],"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":[0.0002992708,0.00001389934,0.03025343,0.000131825,0.00003498269,0.0003822527,0.000389902,0.0001426166,0.9617796,0.00005964789,0.00004519491,0.006467497],"study_design_scores_gemma":[0.00001055196,0.000264758,0.5973926,0.00005162226,0.00008930985,0.0008939323,0.001658912,0.0006675454,0.3950921,0.0001499373,0.00370203,0.00002666761],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979473,0.0005963335,0.0002535779,0.00001176389,0.000002168829,0.000006758274,0.0004398524,0.00001434536,0.0007279167],"genre_scores_gemma":[0.9967487,0.0007628883,0.000844171,0.00002368316,0.000002217499,0.000004571172,0.0005437421,0.000007404984,0.001062518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01112304,"threshold_uncertainty_score":0.0221166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002633218606221429,"score_gpt":0.1889717602143739,"score_spread":0.1863385416081525,"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."}}