{"id":"W4404312591","doi":"10.1021/acssensors.4c02117","title":"Computational Model-Assisted Development of a Nonenzymatic Fluorescent Glucose-Sensing Assay","year":2024,"lang":"en","type":"article","venue":"ACS Sensors","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Chemical, Bioengineering, Environmental, and Transport Systems; Robert J. Kleberg, Jr. and Helen C. Kleberg Foundation; McGill University; McGill University Health Centre; Queen Mary University of London; Universidad de Granada; National Science Foundation","keywords":"Fluorescence; Chemistry; Biophysics; Nanotechnology; Materials science; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001482713,0.0002179268,0.0002568801,0.0001358903,0.00005325968,0.00004139563,0.00009074213,0.0001114499,0.00001790274],"category_scores_gemma":[0.00002760506,0.000197538,0.00008511639,0.0003247268,0.0000412165,0.00005728768,0.00002547266,0.0002066854,0.00007980925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001455408,"about_ca_system_score_gemma":0.00005107659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003397764,"about_ca_topic_score_gemma":0.000004956122,"domain_scores_codex":[0.9986288,0.00002375691,0.0004638611,0.0002236959,0.0003318013,0.0003280617],"domain_scores_gemma":[0.9995286,0.0001449712,0.00002870287,0.0001361651,0.00006751942,0.00009397694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001175998,0.00003615908,0.00001122431,0.0004345467,0.0001788955,0.00002948858,0.0008852174,0.3826785,0.5970663,0.000322111,0.001199882,0.01714591],"study_design_scores_gemma":[0.00009002352,0.000006937294,0.0001081231,0.0001336767,0.00001925483,0.00001922347,0.00002209218,0.6521185,0.3467557,0.0002454528,0.0003079937,0.0001730121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803435,0.0004334046,0.01754806,0.00007473863,0.0001394539,0.0001295562,0.000007737075,0.0004258403,0.0008977256],"genre_scores_gemma":[0.935563,0.00001826882,0.0641723,0.00002268304,0.00003594948,0.000001719397,0.00003163276,0.0000483261,0.0001061334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.26944,"threshold_uncertainty_score":0.8055366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01308110915901086,"score_gpt":0.2214043568851095,"score_spread":0.2083232477260986,"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."}}