{"id":"W4417364499","doi":"10.26434/chemrxiv-2025-50q04","title":"A nanomolar affinity dopamine aptamer: rethinking of negative selections","year":2025,"lang":"","type":"article","venue":"ChemRxiv","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"China Scholarship Council; Natural Science Foundation of Hubei Province; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Aptamer; Negative selection; Selection (genetic algorithm); Mutant; DNA; Dopamine","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":[0.001118269,0.000650864,0.0005204684,0.0004145789,0.0003562932,0.0008456688,0.0007008851,0.000609802,0.0007347675],"category_scores_gemma":[0.001590718,0.0003043108,0.0002877616,0.0001727637,0.0005987912,0.0005988737,0.000819927,0.001283675,0.0004758634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002945143,"about_ca_system_score_gemma":0.0002620526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003285577,"about_ca_topic_score_gemma":0.0007191271,"domain_scores_codex":[0.9988586,0.0002095492,0.00007514725,0.0002671549,0.0005034931,0.00008612266],"domain_scores_gemma":[0.9989635,0.0004404584,0.0001069071,0.0001293586,0.0002507495,0.0001089439],"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":[0.00004389007,0.00003371998,0.0002777448,0.00005292397,0.000007845213,0.0001064477,0.00006981242,0.0001496247,0.9907095,0.0003793166,0.0001502988,0.008018925],"study_design_scores_gemma":[0.00001239355,0.0002355213,0.0005631081,0.00001140127,0.00002017446,0.0006736851,0.00003954632,0.001955135,0.9888512,0.0003259748,0.007290371,0.00002142586],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8727917,0.00413043,0.1128916,0.001482818,0.0003975862,0.0004078054,0.0001859856,0.0007211409,0.006991035],"genre_scores_gemma":[0.9099284,0.002756986,0.07591987,0.001389812,0.0001021779,0.0002347563,0.0005223607,0.0004179005,0.008727799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001118269,"threshold_uncertainty_score":0.005914032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01008929250270218,"score_gpt":0.2744123913686218,"score_spread":0.2643230988659196,"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."}}