{"id":"W4250279403","doi":"10.1002/ange.200461848","title":"In Vitro Selection of Structure‐Switching Signaling Aptamers","year":2005,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Aptamer; In vitro; Selection (genetic algorithm); Chemistry; Nanotechnology; Computational biology; Computer science; Materials science; Biology; Biochemistry; Molecular biology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00008779001,0.0001074587,0.0001391189,0.00006117704,0.00002675313,0.000006119445,0.00007254631,0.0001133189,0.000005481666],"category_scores_gemma":[0.00002951558,0.00009922542,0.00006917445,0.0001443996,0.00002919444,0.000006314665,0.00002814369,0.00008641412,3.570243e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000237465,"about_ca_system_score_gemma":0.00001915533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001770451,"about_ca_topic_score_gemma":0.00004523829,"domain_scores_codex":[0.9993575,0.00001393054,0.0001828469,0.0002122634,0.00008192565,0.0001515908],"domain_scores_gemma":[0.9997053,0.000005953244,0.00008930013,0.0001243273,0.0000468313,0.00002827081],"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":[0.00005888087,0.00001959026,0.0002355397,0.000007707278,0.00002046309,5.83253e-7,0.00002308282,0.00002592438,0.996787,0.000002086704,0.0001359254,0.002683274],"study_design_scores_gemma":[0.0001797066,0.00003130125,0.00003349162,0.00001072374,0.00001413267,0.000007521064,0.00003063885,0.00003957078,0.9962308,0.00004978918,0.003253791,0.0001184925],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988802,0.0001347243,0.0005038852,0.00010715,0.00001798002,0.00004984775,0.000007163747,0.00001565079,0.0002833789],"genre_scores_gemma":[0.9879023,0.00005403567,0.01148063,0.0002022009,0.000206048,0.00000168294,0.00004353206,0.00001172278,0.00009782742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01097789,"threshold_uncertainty_score":0.4046295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007191109237802153,"score_gpt":0.2562008345253527,"score_spread":0.2490097252875506,"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."}}