{"id":"W4386590650","doi":"10.1039/d3an01153d","title":"High performance nonenzymatic electrochemical sensors <i>via</i> thermally grown Cu native oxides (CuNOx) towards sweat glucose monitoring","year":2023,"lang":"en","type":"article","venue":"The Analyst","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Detection limit; Cyclic voltammetry; Repeatability; Materials science; Oxide; Nanomaterials; Redox; Glucose oxidase; Chemistry; Electrochemistry; Nanotechnology; Inorganic chemistry; Biosensor; Chromatography; Electrode; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002479212,0.0003422651,0.0001869657,0.0002601991,0.0001707806,0.0003605541,0.0004436287,0.0003464248,0.0003892165],"category_scores_gemma":[0.000489536,0.0002453788,0.0001247925,0.0002249644,0.0002870429,0.0003345464,0.0002648265,0.0002836355,0.0001222763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002198238,"about_ca_system_score_gemma":0.0001471014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001045068,"about_ca_topic_score_gemma":0.002938113,"domain_scores_codex":[0.9997637,0.00003374959,0.00001365232,0.00006889732,0.00009012999,0.0000299412],"domain_scores_gemma":[0.9998462,0.00003464872,0.00003775307,0.00001076574,0.00005268065,0.00001788305],"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":[0.00002280834,0.000005597889,0.0001980229,0.00005097993,0.000003674944,0.00004246015,0.00002088753,0.00008033781,0.9960079,0.00008794298,0.0001150686,0.003364291],"study_design_scores_gemma":[0.000002088236,0.00008142079,0.001620894,0.000003720376,0.00001001823,0.0002005904,0.00001703165,0.001914165,0.9948391,0.00003081247,0.001272992,0.000007182109],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9551951,0.003478717,0.03629747,0.0001964454,0.0001416748,0.00006140135,0.000206148,0.0006408565,0.003782293],"genre_scores_gemma":[0.9740493,0.0008192024,0.02304759,0.00008970331,0.00004396777,0.00002904612,0.0001373697,0.00003634906,0.001747413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001045068,"threshold_uncertainty_score":0.002077937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008627901898837933,"score_gpt":0.206704675920805,"score_spread":0.1980767740219671,"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."}}