{"id":"W4414219196","doi":"10.1002/anse.202500077","title":"Solution‐Based Biophysical Methods for Guiding Design of Aptamers into Electrochemical Biosensors","year":2025,"lang":"en","type":"article","venue":"Analysis & Sensing","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aptamer; Context (archaeology); Biosensor; Folding (DSP implementation); Isothermal titration calorimetry; Sequence (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":[],"consensus_categories":[],"category_scores_codex":[0.0005753078,0.0002227012,0.0005069564,0.0004418895,0.0001538089,0.00002060722,0.0001408617,0.0002009708,6.767274e-7],"category_scores_gemma":[0.0003749457,0.0002083816,0.000657609,0.001420389,0.000194574,0.000003881456,0.00005947676,0.00006586474,2.256446e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004533268,"about_ca_system_score_gemma":0.00008720534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002577412,"about_ca_topic_score_gemma":0.000009460115,"domain_scores_codex":[0.9983891,0.0002293621,0.0004342211,0.0005355177,0.0001084062,0.0003033979],"domain_scores_gemma":[0.9987676,0.0001776972,0.0002040438,0.0004593308,0.000338186,0.00005315252],"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":[0.0001264335,0.00004119645,0.00003830201,0.00001550671,0.001233096,3.680944e-7,0.00001014902,0.000325717,0.9778882,0.0000332928,0.0001855811,0.02010213],"study_design_scores_gemma":[0.0001702232,0.0000821689,0.00001052167,0.00001807971,0.00161489,6.249494e-7,0.00003984252,0.1646991,0.8322349,0.0002110435,0.00073985,0.0001786978],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0995597,0.0001269594,0.8998352,0.000241551,0.00002379329,0.0001427481,0.000002389314,0.00003833017,0.00002930435],"genre_scores_gemma":[0.5450056,0.00002423758,0.4546587,0.0001515892,0.00003277495,0.000001813257,0.0000717403,0.000009574891,0.0000439864],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4454459,"threshold_uncertainty_score":0.8497555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02172848359992701,"score_gpt":0.3612591366109084,"score_spread":0.3395306530109814,"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."}}