{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002368143,0.000331533,0.0001823473,0.0001218212,0.0001037116,0.0003226773,0.0001767539,0.0002321729,0.001546889],"category_scores_gemma":[0.0002537353,0.0001648228,0.0001685021,0.0001075069,0.0001034091,0.0001323456,0.0001830614,0.00043122,0.0006842177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001914731,"about_ca_system_score_gemma":0.0001108783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002169139,"about_ca_topic_score_gemma":0.00032367,"domain_scores_codex":[0.9998358,0.00003333966,0.00001895805,0.00003406139,0.00004775044,0.00003000689],"domain_scores_gemma":[0.9998478,0.00005228991,0.00002895168,0.00002105769,0.00001895629,0.00003094012],"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":[0.00001579884,0.000008577271,0.00002618449,0.000006226953,0.000001238438,0.000009139229,0.000007877156,0.00004330598,0.9994045,0.00006057469,0.00002179541,0.0003946905],"study_design_scores_gemma":[0.00000340138,0.00004110294,0.0001083652,8.437154e-7,0.000002549988,0.00002742138,0.000002801049,0.0002929084,0.9985574,0.00001444679,0.0009475542,0.000001241968],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746264,0.0007425098,0.02031128,0.0001130616,0.00009712487,0.00009633017,0.0005522513,0.0002667567,0.003194393],"genre_scores_gemma":[0.9737865,0.0006589027,0.01399787,0.00007593539,0.0000166451,0.0001079537,0.001354032,0.000109943,0.009892303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001546889,"threshold_uncertainty_score":0.005174875,"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."}}