{"id":"W4361199601","doi":"10.3390/bios13040434","title":"Surfactant-Assisted Label-Free Fluorescent Aptamer Biosensors and Binding Assays","year":2023,"lang":"en","type":"article","venue":"Biosensors","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aptamer; Chemistry; Fluorescence; Biosensor; Cuvette; Pulmonary surfactant; Chromatography; Adsorption; Biophysics; Combinatorial chemistry; Biochemistry; Organic chemistry; Molecular biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003706961,0.0003513308,0.0003190519,0.000258409,0.0002349009,0.00006418483,0.0002584074,0.0003189856,0.0000042592],"category_scores_gemma":[0.0003285801,0.0003062603,0.0001467126,0.0006351116,0.0002599437,0.00000740721,0.0003221518,0.0001538761,0.00004922121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002886789,"about_ca_system_score_gemma":0.00003111277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002381152,"about_ca_topic_score_gemma":0.00003742134,"domain_scores_codex":[0.9979423,0.0001218943,0.0003539163,0.0007335801,0.0002822286,0.0005660739],"domain_scores_gemma":[0.9987603,0.00004011896,0.0001508926,0.0007475261,0.0001165094,0.0001846169],"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":[0.0000601224,0.00005136987,0.00209991,0.00001966735,0.0001076272,0.00003615683,0.00002058592,0.000001611212,0.9812693,0.00004812187,0.009138518,0.007147027],"study_design_scores_gemma":[0.0007109374,0.0002210759,0.009468851,0.00004577583,0.000070149,0.00005149286,0.0002323784,0.0002508563,0.9689947,0.00006560668,0.01931958,0.0005686065],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977198,0.0001792242,0.00003618025,0.000800971,0.0001553177,0.0002012697,0.0001339424,0.0003430614,0.0004302023],"genre_scores_gemma":[0.9913824,0.001246436,0.004717072,0.0001800371,0.0001744791,0.000006995165,0.0002426964,0.0000618503,0.001988019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01227459,"threshold_uncertainty_score":0.999939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02272957307313799,"score_gpt":0.2796983822924798,"score_spread":0.2569688092193418,"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."}}