{"id":"W2768800707","doi":"10.1016/j.bios.2017.11.063","title":"Visual detection of cyanide ions by membrane-based nanozyme assay","year":2017,"lang":"en","type":"article","venue":"Biosensors and Bioelectronics","topic":"Advanced Nanomaterials in Catalysis","field":"Materials Science","cited_by":72,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Ministry of Science and Technology, Taiwan","keywords":"Hydroxide; Cyanide; Membrane; Chemistry; Glucose oxidase; Naked eye; Catalysis; Oxide; Graphene; Peroxidase; Inorganic chemistry; Detection limit; Biosensor; Nanotechnology; Materials science; Chromatography; Organic chemistry; Enzyme; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005089869,0.0007098357,0.0005392796,0.000379754,0.0002765439,0.0006791266,0.000933496,0.001126159,0.001231725],"category_scores_gemma":[0.0005584107,0.0003704196,0.0003730436,0.0002830604,0.0003638795,0.00051637,0.0005060273,0.0008420187,0.0007800753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000617368,"about_ca_system_score_gemma":0.0002852937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007105145,"about_ca_topic_score_gemma":0.0009320856,"domain_scores_codex":[0.9994666,0.0001424631,0.00003601969,0.0001113104,0.0001636405,0.0000800436],"domain_scores_gemma":[0.9996585,0.0001110136,0.00005686784,0.00003375567,0.00008856836,0.00005141949],"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":[0.00002210336,0.000006602208,0.0000376603,0.00001954724,0.000002646421,0.000009901971,0.000006209344,0.00001180002,0.9993669,0.00004361407,0.0000238599,0.0004490921],"study_design_scores_gemma":[0.000003771332,0.00002696339,0.0003029614,0.000002972226,0.000003747519,0.00005788161,0.000008131696,0.000914794,0.9983599,0.00003611322,0.0002793677,0.000003466186],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7951983,0.003670715,0.1909049,0.001005993,0.0002568687,0.0001533047,0.0007102931,0.001330956,0.006768527],"genre_scores_gemma":[0.9225482,0.001786056,0.06918165,0.0002654569,0.00004412247,0.0002202903,0.0006085537,0.00007253409,0.005273127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001231725,"threshold_uncertainty_score":0.004479349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00791048272580265,"score_gpt":0.2582317338366382,"score_spread":0.2503212511108355,"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."}}