{"id":"W2097937266","doi":"10.1021/ac400385v","title":"Theoretical Modeling of Masking DNA Application in Aptamer-Facilitated Biomarker Discovery","year":2013,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aptamer; DNA; Chemistry; Genomic library; Primer (cosmetics); Library; Computational biology; Molecular biology; Biochemistry; Biology; Gene; Base sequence","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":[0.000806155,0.0009760839,0.0009078381,0.0008797738,0.000628276,0.001007804,0.001418657,0.002353232,0.001873311],"category_scores_gemma":[0.002281442,0.0005629986,0.001013163,0.000593006,0.0009509157,0.001277857,0.0008765195,0.000910744,0.0006522469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001646734,"about_ca_system_score_gemma":0.001057486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005640223,"about_ca_topic_score_gemma":0.002201904,"domain_scores_codex":[0.999667,0.00009843045,0.00001331637,0.00006061251,0.0001075179,0.00005304929],"domain_scores_gemma":[0.9992685,0.0005145561,0.00006424279,0.00001997043,0.0001079592,0.00002490908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002119636,0.00003253747,0.0003453182,0.0001142744,0.00001534099,0.0001766155,0.00008876966,0.9411629,0.007984886,0.04716348,0.0003009094,0.00259377],"study_design_scores_gemma":[0.000002672066,0.000006762858,0.00003969669,0.000004916093,0.000002718888,0.00001741627,0.000005524897,0.9950013,0.0006085734,0.003906139,0.0003986958,0.000005523907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05031263,0.001726243,0.921,0.001026987,0.000118584,0.000131246,0.0001923608,0.0001809873,0.02531091],"genre_scores_gemma":[0.8520864,0.003116735,0.1172379,0.0005289377,0.00009029698,0.0009521318,0.0002773833,0.0001739413,0.02553627],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005640223,"threshold_uncertainty_score":0.01194787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008373989461367115,"score_gpt":0.2618168378220481,"score_spread":0.2534428483606809,"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."}}