{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005625905,0.0001148868,0.0001056306,0.000327852,0.0001932611,0.00001739119,0.0004171223,0.0000990395,0.002175689],"category_scores_gemma":[0.00007849135,0.0001168025,0.00002384806,0.001113396,0.001368504,0.0004178023,0.0003310676,0.0001582023,0.001619208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007502233,"about_ca_system_score_gemma":0.000009825207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003472443,"about_ca_topic_score_gemma":0.0001461903,"domain_scores_codex":[0.9985002,0.00002521316,0.0002128588,0.0004710853,0.0004062263,0.000384462],"domain_scores_gemma":[0.9995202,0.00001810652,0.0000847045,0.0003028795,0.000001320169,0.00007274457],"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":[0.000004191841,0.0001568823,0.2639096,9.84423e-7,0.000001073568,0.000003459665,0.0004017179,0.0005706253,0.4891576,0.004606537,0.0001929227,0.2409945],"study_design_scores_gemma":[0.0007695483,0.0001718024,0.8145092,0.000009758133,0.000005108107,0.00002552497,0.0007510558,0.01051411,0.09528729,0.007770572,0.06980778,0.000378303],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9708926,0.000009511697,0.001884014,0.001052076,0.0001532348,0.0001851052,9.456594e-7,0.00008250462,0.02574003],"genre_scores_gemma":[0.9978426,0.00001708316,0.001161757,0.0002166543,0.00002274332,0.00002288178,0.000003650357,0.000007449875,0.0007052557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5505996,"threshold_uncertainty_score":0.9991581,"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."}}