{"id":"W4295990790","doi":"10.3389/fsens.2022.840130","title":"A Fluorescent Alcohol Biosensor Using a Simple microPAD Based Detection Scheme","year":2022,"lang":"en","type":"article","venue":"Frontiers in Sensors","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Science and Engineering Research Board; Technische Universität München; Deutsche Forschungsgemeinschaft; University of Alberta","keywords":"Fluorophore; Analyte; Fluorescence; Alcohol; Ethanol; Chemistry; Detection limit; Aqueous solution; Biosensor; Chromatography; Analytical Chemistry (journal); Organic chemistry; Optics; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001747271,0.00020689,0.0002533418,0.0004219875,0.0001926091,0.0000309918,0.0001119618,0.00009057213,0.00007485403],"category_scores_gemma":[0.00002729663,0.0002381409,0.0001274471,0.0007443015,0.00004760259,0.00006430936,0.00003817746,0.0004394415,0.00000903573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005626912,"about_ca_system_score_gemma":0.00001516648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005771817,"about_ca_topic_score_gemma":0.00001171831,"domain_scores_codex":[0.9986354,0.00009530273,0.0002996015,0.0002998368,0.0002486327,0.0004212991],"domain_scores_gemma":[0.9996002,0.00001824377,0.00004033449,0.0002270332,0.00002227513,0.00009196356],"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":[0.0001313468,0.0000970576,0.003910588,0.00008262606,0.00006873548,0.00008880166,0.0001335502,0.3986468,0.5866809,0.000009332999,0.00219682,0.007953484],"study_design_scores_gemma":[0.0006034977,0.00004414098,0.0005758473,0.000009886317,0.00001851167,0.00001599597,0.0004087751,0.8827155,0.1074766,0.00005933807,0.00778999,0.0002818718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821895,0.000175723,0.01563652,0.00003939835,0.00127966,0.0002380642,0.00003455086,0.0002690574,0.0001375423],"genre_scores_gemma":[0.9889402,0.00001157574,0.01076144,0.00007105235,0.00008893022,0.00001750624,0.000009398643,0.00005726314,0.00004264328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4840688,"threshold_uncertainty_score":0.9711104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01238873573210574,"score_gpt":0.2116486537286556,"score_spread":0.1992599179965499,"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."}}