{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005081478,0.0004998342,0.0002770498,0.0002563899,0.0002721154,0.0003919134,0.0004841233,0.001036356,0.0006637211],"category_scores_gemma":[0.0006241689,0.0003597497,0.0003861525,0.0001535277,0.000415292,0.0005325439,0.0002892678,0.0004302273,0.0002999899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005533132,"about_ca_system_score_gemma":0.0001931778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001265106,"about_ca_topic_score_gemma":0.002261794,"domain_scores_codex":[0.9994523,0.0001477139,0.00003156129,0.0001270344,0.0001898849,0.00005144964],"domain_scores_gemma":[0.9997585,0.0001076314,0.00004835456,0.00002498991,0.00004047487,0.00001996466],"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":[0.00002841112,0.00001063483,0.00007645659,0.00008844802,0.00000649472,0.00005557558,0.00002124306,0.0001190397,0.9976529,0.0001357219,0.00004660852,0.001758408],"study_design_scores_gemma":[0.000005374573,0.0001199767,0.0006744064,0.000008205254,0.00001410171,0.0001232635,0.00002005677,0.002223244,0.9949882,0.00009960873,0.001712317,0.00001129764],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9040974,0.02747057,0.05827206,0.001619371,0.0004180009,0.0001867865,0.000268627,0.000366572,0.007300699],"genre_scores_gemma":[0.9573907,0.005824588,0.03112708,0.0004691415,0.00008352236,0.0001334077,0.0001950113,0.00003688775,0.00473975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001265106,"threshold_uncertainty_score":0.004014552,"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."}}