{"id":"W2135504399","doi":"10.1093/database/bas006","title":"Aptamer base: a collaborative knowledge base to describe aptamers and SELEX experiments","year":2012,"lang":"en","type":"article","venue":"Database","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aptamer; Systematic evolution of ligands by exponential enrichment; Computer science; Knowledge base; Molecular recognition; SELEX Aptamer Technique; Computational biology; Nucleic acid; Resource (disambiguation); Chemistry; Biology; World Wide Web; RNA; Molecular biology; Biochemistry; Gene; Molecule","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":[0.003651138,0.004323056,0.004049276,0.0124497,0.001525658,0.007342673,0.007682127,0.003908442,0.03135327],"category_scores_gemma":[0.01518153,0.00213764,0.00225649,0.0127542,0.0007864074,0.005597235,0.004765983,0.003217749,0.03005866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582824,"about_ca_system_score_gemma":0.004527675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003842,"about_ca_topic_score_gemma":0.004684883,"domain_scores_codex":[0.9977624,0.0003304725,0.0006755851,0.0005095843,0.000603233,0.0001186343],"domain_scores_gemma":[0.9936133,0.002941726,0.000768038,0.001471996,0.0008705567,0.0003343873],"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":[0.001344512,0.0008039154,0.003362686,0.01680553,0.001247502,0.002682804,0.0008822028,0.04821159,0.0213475,0.0416196,0.3613251,0.5003672],"study_design_scores_gemma":[0.0003269978,0.0001393405,0.001159483,0.001646881,0.0005579607,0.001919483,0.0002061936,0.03995679,0.01473,0.04454393,0.8945134,0.0002995457],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.004497092,0.0064985,0.559303,0.001584814,0.0005264638,0.00149626,0.30781,0.09913089,0.01915286],"genre_scores_gemma":[0.01413745,0.008219222,0.5030485,0.0008157849,0.0001220703,0.002183927,0.4585862,0.006891586,0.005995148],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03135327,"threshold_uncertainty_score":0.1048871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02383674109648314,"score_gpt":0.3238841180193217,"score_spread":0.3000473769228385,"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."}}