{"id":"W3094882671","doi":"10.1016/j.talanta.2020.121818","title":"Aptamer selection and aptasensor construction for bone density biomarkers","year":2020,"lang":"en","type":"article","venue":"Talanta","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Aptamer; Systematic evolution of ligands by exponential enrichment; Chemistry; Thermostability; Chromatography; Osteocalcin; Molecular biology; Biochemistry; Alkaline phosphatase; RNA; Enzyme","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":[0.0008549515,0.0005931233,0.000460932,0.0004100464,0.0003111547,0.000408385,0.0004879508,0.0005131021,0.001817563],"category_scores_gemma":[0.0007002782,0.0004304658,0.0003649787,0.0003755632,0.0002723524,0.0003186933,0.0004451232,0.0005566921,0.001296291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002801068,"about_ca_system_score_gemma":0.0002851159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002777197,"about_ca_topic_score_gemma":0.0008065903,"domain_scores_codex":[0.9993706,0.00009090012,0.00006011736,0.0001881584,0.0001824465,0.0001078133],"domain_scores_gemma":[0.9996889,0.0000783141,0.00005186178,0.00004630391,0.00009235906,0.00004231665],"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":[0.00002514316,0.00001429225,0.00005376528,0.00001785752,0.000001933383,0.00002316722,0.0000201966,0.00005900356,0.9980349,0.0001161033,0.00003476535,0.001598954],"study_design_scores_gemma":[0.000002426508,0.00003380266,0.0001717726,0.000001158191,0.000003292775,0.00006063192,0.000004490229,0.0003953826,0.9980407,0.00003786112,0.001245093,0.000003393556],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6583062,0.001871007,0.3317507,0.0003611226,0.0001666673,0.0007515557,0.0007104629,0.001335531,0.004746808],"genre_scores_gemma":[0.7069939,0.001920314,0.2731771,0.0003984805,0.00005945552,0.000759356,0.001171241,0.000284405,0.01523575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001817563,"threshold_uncertainty_score":0.006080329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01045203964333171,"score_gpt":0.2497708430592763,"score_spread":0.2393188034159446,"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."}}