{"id":"W4285044317","doi":"10.22215/etd/2020-14989","title":"The Selection of Aptamers for Biomarker Peptides for Kawasaki Disease","year":2020,"lang":"en","type":"dissertation","venue":"","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Aptamer; Biomarker; Oligonucleotide; Complementarity determining region; Molecular biology; Antibody; Computational biology; Immunology; Biology; Medicine; Chemistry; Virology; Monoclonal antibody; Genetics; Gene","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":[0.0003738311,0.0002728915,0.000162778,0.0002008161,0.0001798359,0.0004003524,0.0001684022,0.0003301339,0.003649983],"category_scores_gemma":[0.0004109061,0.0001578566,0.000238112,0.0001766757,0.0001026659,0.0002151202,0.0002556272,0.0005020425,0.002193527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001678493,"about_ca_system_score_gemma":0.0001395256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009768885,"about_ca_topic_score_gemma":0.0001846821,"domain_scores_codex":[0.9998322,0.00003032333,0.000007061458,0.00004088895,0.00005683261,0.00003267172],"domain_scores_gemma":[0.9999057,0.00003073463,0.000008880152,0.000006148204,0.0000302233,0.00001834293],"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":[0.000111283,0.00007551689,0.0003331876,0.0001136087,0.000006431693,0.00007744366,0.00006861101,0.0002970044,0.961903,0.0007321628,0.001636512,0.03464531],"study_design_scores_gemma":[0.00003787517,0.0005594782,0.002710549,0.00005119274,0.00001992511,0.0004313577,0.00007386913,0.001217889,0.9499579,0.0008062437,0.04411867,0.00001514305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8074908,0.0289337,0.06381766,0.002445482,0.001487593,0.000599144,0.0007070419,0.0003560752,0.09416237],"genre_scores_gemma":[0.8093809,0.01410511,0.04967134,0.002032984,0.0002307524,0.0004313497,0.001107947,0.0001482966,0.1228914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003649983,"threshold_uncertainty_score":0.01221043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270473622571295,"score_gpt":0.3099156915098784,"score_spread":0.2972109552841654,"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."}}