{"id":"W2052309069","doi":"10.1515/revac-2013-0008","title":"Electrochemical detection of sulfide","year":2013,"lang":"en","type":"article","venue":"Reviews in Analytical Chemistry","topic":"Sulfur Compounds in Biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Fogarty International Center; National Institutes of Health; University of Windsor; China University of Mining and Technology; University of Washington; Canadian Institutes of Health Research; University of Waterloo; AstraZeneca; Natural Sciences and Engineering Research Council of Canada; Pfizer","keywords":"Amperometry; Detection limit; Sulfide; Context (archaeology); Cyclic voltammetry; Hydrogen sulfide; Electrochemistry; Anodic stripping voltammetry; Voltammetry; Materials science; Electrode; Chemistry; Chromatography; Sulfur; Metallurgy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002292675,0.0001520351,0.0003351184,0.00002175203,0.00001220725,0.000006400527,0.0001927576,0.0002457862,0.0002050302],"category_scores_gemma":[0.0007149391,0.0001352037,0.0001537678,0.000175171,0.0001360174,0.000002659386,0.00009191787,0.0001786602,0.00003724004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003299769,"about_ca_system_score_gemma":0.00002969218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009307233,"about_ca_topic_score_gemma":0.000003478166,"domain_scores_codex":[0.9987914,0.00005505237,0.0004822474,0.0003300234,0.00008367322,0.0002576006],"domain_scores_gemma":[0.9993159,0.00003187965,0.0001034706,0.0004058085,0.00006294162,0.00008001193],"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":[0.00001328346,0.00004894278,0.00152225,0.00008379421,0.00001309747,6.041647e-7,0.000001723419,4.347351e-7,0.995762,0.00001164017,0.000351997,0.002190255],"study_design_scores_gemma":[0.0001990781,0.00004288539,0.0004925133,0.00003600247,0.00001233852,0.00003179322,0.000005935784,0.0002208642,0.9731363,0.0002203613,0.02545185,0.0001500679],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844797,0.006538268,0.001898302,0.00008228446,0.00003776442,0.0002313983,0.000001192773,0.000009331893,0.006721821],"genre_scores_gemma":[0.9967235,0.001873473,0.0006002096,0.0001072767,0.0001461607,0.00005253143,0.00003056363,0.0000125785,0.0004537543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02509985,"threshold_uncertainty_score":0.5513445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413216215242358,"score_gpt":0.274475595429318,"score_spread":0.2603434332768944,"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."}}