{"id":"W4306650493","doi":"10.1002/cplu.202200265","title":"Interactions between Caffeine, Theophylline and Derivatives with Gold Nanoparticles and Implications for Aptamer‐Based Label‐Free Colorimetric Detection","year":2022,"lang":"en","type":"article","venue":"ChemPlusChem","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Paraxanthine; Theobromine; Theophylline; Xanthine; Chemistry; Caffeine; Aptamer; Colloidal gold; Adsorption; Combinatorial chemistry; Biosensor; Nanoparticle; Chromatography; Nanotechnology; Organic chemistry; Biochemistry; Materials science; Pharmacology","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":[0.0001004558,0.0001188744,0.0001290784,0.00007474323,0.0002579315,0.00001958154,0.00008267505,0.0000374263,6.679193e-7],"category_scores_gemma":[0.0000835037,0.0001040925,0.00003084422,0.0002699636,0.0001089366,0.000006087856,0.0001132237,0.00007596348,6.940323e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002047225,"about_ca_system_score_gemma":0.00002429338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007879597,"about_ca_topic_score_gemma":0.00003168929,"domain_scores_codex":[0.9993606,0.00002528232,0.000125492,0.0003002271,0.000054146,0.0001342164],"domain_scores_gemma":[0.9994748,0.00006687654,0.00009170612,0.0002328155,0.0000816338,0.00005221378],"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":[0.00008809462,0.00004400683,0.002503128,0.0000108984,0.00005325391,1.339587e-7,0.00001193871,0.000003017915,0.9855423,0.00002986969,0.0001665236,0.01154685],"study_design_scores_gemma":[0.0005799402,0.0005301356,0.00396964,0.000003730549,0.0000734762,0.00001000963,0.00009078108,0.0001292033,0.9828015,0.0002129656,0.01144595,0.0001526596],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987988,0.0002474873,0.01064139,0.0006709329,0.00001151651,0.0002299885,0.0001194278,0.00004149613,0.00004976533],"genre_scores_gemma":[0.9857191,0.0000279028,0.01364939,0.0001245003,0.00007248713,0.000143912,0.0001286455,0.00001747193,0.0001165666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0113942,"threshold_uncertainty_score":0.4244769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01937152549080896,"score_gpt":0.2863980983797962,"score_spread":0.2670265728889873,"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."}}