{"id":"W2929680053","doi":"10.3390/s19071604","title":"Sensitive Electrochemical Detection of Caffeic Acid in Wine Based on Fluorine-Doped Graphene Oxide","year":2019,"lang":"en","type":"article","venue":"Sensors","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Graphene; Cyclic voltammetry; Detection limit; Ascorbic acid; Electrochemical gas sensor; Electrochemistry; X-ray photoelectron spectroscopy; Materials science; Nuclear chemistry; Oxide; Differential pulse voltammetry; Chemistry; Electrode; Inorganic chemistry; Analytical Chemistry (journal); Nanotechnology; Chemical engineering; Chromatography","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":[0.000269511,0.0008874087,0.0005299521,0.0006116737,0.0002075789,0.0003649479,0.0007250265,0.001153317,0.0002514377],"category_scores_gemma":[0.0002950806,0.0002785786,0.0005165455,0.0003316329,0.0003081318,0.0005888944,0.0003334364,0.0004562864,0.0001881286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000259595,"about_ca_system_score_gemma":0.0001297058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007132436,"about_ca_topic_score_gemma":0.001384574,"domain_scores_codex":[0.9996775,0.00004076525,0.0000207678,0.0001167639,0.0001043963,0.00003981401],"domain_scores_gemma":[0.9998763,0.00002539265,0.00002592127,0.000009102832,0.00004415455,0.00001929753],"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":[0.00002186374,0.00001241906,0.0002262194,0.00008238026,0.00001319551,0.00009949834,0.0000145393,0.0000526092,0.9967625,0.00002606121,0.00001760907,0.002671103],"study_design_scores_gemma":[0.000005157056,0.0002232987,0.001678592,0.000007029439,0.00003432725,0.0004897263,0.00001892463,0.001499976,0.9946259,0.00003073675,0.001362752,0.0000236138],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9061431,0.02002131,0.07064466,0.000257391,0.000389965,0.0001319587,0.0004751564,0.0004931898,0.00144325],"genre_scores_gemma":[0.91693,0.004839472,0.07597254,0.0001961325,0.00008615763,0.00004377718,0.0003712905,0.0000202693,0.001540334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001153317,"threshold_uncertainty_score":0.001883507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002908605728806496,"score_gpt":0.1764417357373449,"score_spread":0.1735331300085384,"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."}}