{"id":"W4362639440","doi":"10.3390/chemistry5020056","title":"Graphene Oxide-Assisted Aptamer-Based Fluorescent Detection of Tetracycline Antibiotics","year":2023,"lang":"en","type":"article","venue":"Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Aptamer; Graphene; Doxycycline; Fluorescence; Detection limit; Tetracycline; Chemistry; Tetracycline antibiotics; Adsorption; Biosensor; Oxide; Antibiotics; Nanotechnology; Nuclear chemistry; Combinatorial chemistry; Materials science; Chromatography; Biochemistry; Molecular biology; Biology; Optics; Organic 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":[0.0001268287,0.0001593448,0.0001793903,0.00005118216,0.00005528929,0.000008543686,0.0001372435,0.00021531,0.0000026461],"category_scores_gemma":[0.0001197919,0.0001508864,0.0001776078,0.0004181782,0.0001444447,0.000001785309,0.00005459936,0.00009557934,0.00000314807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001370126,"about_ca_system_score_gemma":0.00003370471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006188656,"about_ca_topic_score_gemma":0.000004531867,"domain_scores_codex":[0.9990363,0.00001653441,0.0002682889,0.0003232814,0.000149642,0.0002059444],"domain_scores_gemma":[0.9992284,0.00001227048,0.0001488187,0.0004200564,0.000126358,0.00006408449],"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":[0.00004603823,0.00007473708,0.0008820244,0.0000740465,0.00004021563,0.000004299762,0.000001188031,0.00002464949,0.9943987,5.230907e-7,0.0002134187,0.004240179],"study_design_scores_gemma":[0.0002520831,0.00004923339,0.002956207,0.00003353377,0.00003792736,0.000005928668,0.00002757112,0.0003523306,0.994803,0.00001739595,0.001291805,0.0001729806],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969197,0.00007941567,0.002512875,0.00005375812,0.00003782989,0.00006147604,0.00002955748,0.0001033045,0.0002020726],"genre_scores_gemma":[0.996982,0.0001386589,0.002194395,0.00004218611,0.00008209217,0.000001087749,0.0003007727,0.00002225923,0.0002365757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004067199,"threshold_uncertainty_score":0.615297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110113524627147,"score_gpt":0.2646281933496107,"score_spread":0.253616840886896,"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."}}