{"id":"W2239582579","doi":"10.1039/c5an02208h","title":"Electrochemical hydrogen sulfide biosensors","year":2016,"lang":"en","type":"review","venue":"The Analyst","topic":"Sulfur Compounds in Biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":185,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Centre for Policy Alternatives","funders":"Fundamental Research Funds for the Central Universities; Beijing Higher Education Young Elite Teacher Project; King Saud University; National Natural Science Foundation of China","keywords":"Hydrogen sulfide; Electrochemistry; Sulfide; Biosensor; Chemistry; Nanotechnology; Materials science; Electrode; Sulfur; Organic chemistry; Physical chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003273112,0.0004306706,0.0009049728,0.00008391686,0.00009683496,0.00001904181,0.00108854,0.0005580208,0.00006529692],"category_scores_gemma":[0.0001358505,0.0002245489,0.0008022756,0.0002186841,0.0002599804,9.693869e-7,0.0003404571,0.0002470988,0.0004522217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004717795,"about_ca_system_score_gemma":0.0001736404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004476161,"about_ca_topic_score_gemma":0.000006804906,"domain_scores_codex":[0.9979885,0.0003488562,0.0004625741,0.0006095218,0.0001311055,0.0004594123],"domain_scores_gemma":[0.9981824,0.0001143043,0.0002788664,0.001287393,0.00005467011,0.00008239437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008223466,0.0001109147,0.00002528432,0.001339146,0.00551109,0.00003052847,0.00001588869,2.376757e-7,0.1980867,0.0008196651,0.02038482,0.7735935],"study_design_scores_gemma":[0.0000820182,0.00005779072,2.447648e-7,0.0003312358,0.0004790244,0.0001753485,0.000002123911,2.882992e-7,0.007425061,0.00009471467,0.991035,0.0003171664],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003312017,0.9975473,0.0001207577,0.00008499585,0.0001173625,0.0002400539,0.00003122396,0.00002211217,0.001504975],"genre_scores_gemma":[0.0002098281,0.9957516,0.00007032931,0.0001470078,0.001145834,0.00005468633,0.0003864619,0.00006517386,0.00216908],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9706501,"threshold_uncertainty_score":0.9156837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02333027879660267,"score_gpt":0.3072095757514798,"score_spread":0.2838792969548772,"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."}}