{"id":"W4233492346","doi":"10.1016/s1074-5521(02)00195-3","title":"Aptamer Rivalry","year":2002,"lang":"en","type":"review","venue":"Chemistry & Biology","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Aptamer; Computational biology; Biology; RNA; Small molecule; Riboswitch; SELEX Aptamer Technique; Ligand (biochemistry); Nanotechnology; Systematic evolution of ligands by exponential enrichment; Molecular biology; Biochemistry; Receptor; Non-coding RNA; Gene; Materials science","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0001329589,0.0006663961,0.001333596,0.00005361957,0.00008875799,0.00002025609,0.0005684649,0.001574022,0.00006620912],"category_scores_gemma":[0.0001265694,0.0005294287,0.0008921281,0.0002039803,0.0003670618,0.00000144346,0.0003024833,0.000417759,0.00005913904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004597002,"about_ca_system_score_gemma":0.00009401795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002381586,"about_ca_topic_score_gemma":6.352229e-7,"domain_scores_codex":[0.9976746,0.000100023,0.0005870311,0.001057232,0.00008367139,0.0004974672],"domain_scores_gemma":[0.9982873,0.00002540296,0.0004130052,0.001058351,0.00008205558,0.0001338499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004766226,0.00006456264,0.000002997859,0.001760866,0.0003396565,0.000009840628,0.000001248773,3.154035e-8,0.03020449,0.000005832297,0.006873365,0.9607323],"study_design_scores_gemma":[0.00007861577,0.00005294468,7.346001e-8,0.0005548148,0.0003895336,0.0001550766,0.000002780051,0.000001033806,0.01970078,0.00002724797,0.978433,0.0006040576],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004762766,0.9947156,0.0001150418,0.00001599165,0.0001030453,0.0001868744,0.0001365782,0.00009717543,0.004582024],"genre_scores_gemma":[0.0001693936,0.9888327,0.001121163,0.00008253378,0.001063355,0.00005159629,0.002457775,0.00007991477,0.006141574],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9715597,"threshold_uncertainty_score":0.9997221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03153882060926261,"score_gpt":0.3412211368805486,"score_spread":0.309682316271286,"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."}}