{"id":"W2013095752","doi":"10.1002/cbic.201300134","title":"Quality Control Certification of RNA Aptamer‐Based Detection","year":2013,"lang":"en","type":"article","venue":"ChemBioChem","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aptamer; RNA; DNA; Nuclease; Molecular beacon; Chemistry; Molecular recognition; Biosensor; Riboswitch; Molecular biology; Biophysics; Oligonucleotide; Computational biology; Biochemistry; Biology; Non-coding RNA; 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":[0.01101114,0.000856362,0.0006337618,0.002017878,0.0007546444,0.001659973,0.001614825,0.001606083,0.001879902],"category_scores_gemma":[0.01838407,0.000559304,0.0005398983,0.0009995454,0.001634624,0.001050903,0.001260279,0.001156778,0.001700035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001229855,"about_ca_system_score_gemma":0.001021331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001458799,"about_ca_topic_score_gemma":0.001359077,"domain_scores_codex":[0.9808313,0.003154563,0.001154511,0.002247408,0.01195185,0.0006603673],"domain_scores_gemma":[0.9759235,0.00314174,0.002672361,0.002978136,0.01476011,0.0005242549],"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":[0.0002817736,0.0001199096,0.006221836,0.0003321007,0.00005392724,0.0002776253,0.0003259398,0.0009365087,0.9155924,0.002259183,0.001763507,0.07183527],"study_design_scores_gemma":[0.00001897831,0.0002328712,0.004358454,0.00006093853,0.00004641696,0.0003336865,0.00006967387,0.005921282,0.9755947,0.0004245649,0.01290326,0.00003526814],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3039508,0.006533224,0.6670295,0.001016278,0.001233979,0.001165883,0.0009667766,0.003645177,0.01445846],"genre_scores_gemma":[0.7411125,0.003474914,0.2368412,0.0008961788,0.0002674632,0.000961342,0.003916379,0.001073361,0.01145675],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01101114,"threshold_uncertainty_score":0.05823314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01446979759234215,"score_gpt":0.2788987412527004,"score_spread":0.2644289436603583,"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."}}