{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001473159,0.0006960543,0.0005687673,0.0005673552,0.0002267001,0.0008815419,0.0007865817,0.0007160662,0.001421685],"category_scores_gemma":[0.001478577,0.0005415182,0.0003572813,0.0004919781,0.0006867635,0.0007756803,0.0005144702,0.001846956,0.0006565621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006088675,"about_ca_system_score_gemma":0.0003921083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002545214,"about_ca_topic_score_gemma":0.0005792658,"domain_scores_codex":[0.9992445,0.0002067704,0.00005983747,0.0001302951,0.0003217784,0.00003695318],"domain_scores_gemma":[0.9994961,0.0002359125,0.00007840383,0.0000474083,0.0001132465,0.00002897497],"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":[0.00002019704,0.00003708309,0.00008297394,0.0001667472,0.000009861893,0.00001982575,0.0000398135,0.002407831,0.9785751,0.004647933,0.0002255341,0.0137671],"study_design_scores_gemma":[0.00001869906,0.0001536208,0.0002219098,0.00003013953,0.00001175068,0.0001028277,0.00003107516,0.03540576,0.9486021,0.002799297,0.01259034,0.00003256391],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0484133,0.00740071,0.9393371,0.0006164803,0.000273215,0.0002215994,0.0001996057,0.0007191998,0.002818767],"genre_scores_gemma":[0.3399224,0.01283883,0.6399659,0.0004862675,0.0001605234,0.0005915525,0.0003817234,0.000151297,0.005501553],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001473159,"threshold_uncertainty_score":0.007790923,"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."}}