{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007099271,0.0008750599,0.001322845,0.000671521,0.0004821844,0.0014603,0.001424989,0.001828064,0.006097981],"category_scores_gemma":[0.001094998,0.0003232207,0.0003078287,0.0007061663,0.0009807055,0.002059963,0.00116836,0.001544795,0.002813902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009869006,"about_ca_system_score_gemma":0.0004932527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003358694,"about_ca_topic_score_gemma":0.0004453385,"domain_scores_codex":[0.9994241,0.00009131832,0.00003065035,0.0001722203,0.0001965627,0.00008523834],"domain_scores_gemma":[0.9996824,0.0001727505,0.00004419653,0.00002944475,0.00004873084,0.00002242007],"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":[0.000241179,0.00009117329,0.000426227,0.002728546,0.00007631113,0.002209395,0.0001929463,0.001155418,0.1080206,0.06446778,0.02494032,0.79545],"study_design_scores_gemma":[0.00002530925,0.0002506092,0.0005447723,0.0002949014,0.00007128588,0.008527582,0.0000728169,0.001088561,0.08111335,0.01941144,0.8885695,0.00002989218],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0135059,0.8864391,0.0227848,0.002655189,0.002643944,0.00007431967,0.00008182231,0.0003178916,0.07149706],"genre_scores_gemma":[0.1804917,0.7052267,0.01015535,0.008005765,0.002087716,0.0002630781,0.0003154972,0.0001102074,0.09334394],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006097981,"threshold_uncertainty_score":0.02039975,"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."}}