{"id":"W4409020634","doi":"10.1021/acs.analchem.4c04120","title":"A Generalizable Screening Platform for Developing Functional Aptasensors","year":2025,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Chemistry; Biochemical engineering; Nanotechnology; Computational 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":[0.0007446879,0.001688541,0.0008238762,0.0008293394,0.0002568061,0.0003857871,0.0009172055,0.000908713,0.001463688],"category_scores_gemma":[0.0005958992,0.00065208,0.0005428528,0.000375768,0.0003401359,0.0005550753,0.0006937353,0.0009711551,0.001411187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004141671,"about_ca_system_score_gemma":0.0003675105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004021824,"about_ca_topic_score_gemma":0.0008910304,"domain_scores_codex":[0.9990311,0.0001587571,0.00006362301,0.0002447564,0.0003655659,0.0001362698],"domain_scores_gemma":[0.9997305,0.00006130597,0.00004849924,0.00004726654,0.00006178928,0.00005063199],"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":[0.00001470137,0.00002603367,0.00004032735,0.00004576792,0.000005088628,0.00003666409,0.000007227469,0.0002546765,0.9954993,0.0001674487,0.00008679461,0.003815862],"study_design_scores_gemma":[0.00001079422,0.0002169667,0.0003208491,0.000007520087,0.00001176806,0.000228657,0.000007010822,0.003376237,0.9913618,0.0001179619,0.004327406,0.00001313447],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2412705,0.003365799,0.7389621,0.0004373962,0.0001892257,0.001905537,0.001418276,0.006119702,0.0063316],"genre_scores_gemma":[0.4224483,0.00333993,0.5600681,0.0005275669,0.00008303795,0.001314037,0.002633331,0.0002235999,0.009362064],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001688541,"threshold_uncertainty_score":0.004896522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02592163955194903,"score_gpt":0.3016874284182465,"score_spread":0.2757657888662975,"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."}}