{"id":"W4300865278","doi":"10.1680/jenes.22.00011","title":"Assessment of toxicity and electrochemical sensing of arsenic in aqueous sources","year":2022,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arsenic; Environmental chemistry; Anodic stripping voltammetry; Voltammetry; Hazardous waste; Human decontamination; Environmental science; Groundwater; Contamination; Pollutant; Arsenic contamination of groundwater; Chemistry; Electrochemistry; Waste management; Geology; Electrode","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003445816,0.0004948626,0.000237016,0.0005216564,0.0001431195,0.0003329403,0.0004374666,0.0007014795,0.0004208626],"category_scores_gemma":[0.0005118045,0.000192744,0.0002471174,0.0006203268,0.0001705848,0.0004075088,0.0002947758,0.000329303,0.0002406394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002035512,"about_ca_system_score_gemma":0.0001783177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008299229,"about_ca_topic_score_gemma":0.001036499,"domain_scores_codex":[0.9994057,0.0001070389,0.00003005181,0.0001075026,0.0003186729,0.00003103469],"domain_scores_gemma":[0.9998571,0.00003734735,0.00001912363,0.000009716759,0.00006680636,0.000009977512],"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":[0.00003827505,0.00002331613,0.0006801045,0.0001750216,0.00001238124,0.0000752737,0.00005719541,0.0003991591,0.9894695,0.000192629,0.0001219866,0.008755173],"study_design_scores_gemma":[0.00000659708,0.0006710021,0.00479371,0.00002464102,0.00003789738,0.0004883934,0.0001891742,0.007696336,0.9799694,0.0004362263,0.00566329,0.00002339259],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8491696,0.01764777,0.1182556,0.0004884902,0.0002774893,0.0002005145,0.001198433,0.0005248538,0.01223711],"genre_scores_gemma":[0.9396259,0.01261171,0.04025478,0.0002003834,0.00006992162,0.0002266046,0.0007044734,0.00002253747,0.006283713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008299229,"threshold_uncertainty_score":0.001822293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002816190885206283,"score_gpt":0.1952510184227876,"score_spread":0.1924348275375813,"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."}}