{"id":"W4236933431","doi":"10.22215/etd/2011-06889","title":"The development of novel aptamer sensor platforms for use in biosensing","year":2011,"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":"Library and Archives Canada","funders":"","keywords":"Aptamer; Computer science; Biology; Molecular biology","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":[0.0003607738,0.000452809,0.0002385078,0.000176992,0.0001777367,0.0005510238,0.0003564118,0.0006045423,0.001479231],"category_scores_gemma":[0.0003652152,0.0002444877,0.000235,0.0001467713,0.0002117652,0.0008831414,0.0003546461,0.0007612965,0.0008325402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002866977,"about_ca_system_score_gemma":0.0003230691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001880119,"about_ca_topic_score_gemma":0.000462273,"domain_scores_codex":[0.9998329,0.00001868585,0.000009379574,0.0000475738,0.00006375532,0.0000276901],"domain_scores_gemma":[0.9998819,0.00002980227,0.00001761402,0.00001243555,0.0000352165,0.00002313642],"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":[0.00002400673,0.00003116461,0.00004504465,0.00005311952,0.000003317473,0.00005111071,0.00003160817,0.0001648051,0.9872749,0.0006387779,0.0001910625,0.01149111],"study_design_scores_gemma":[0.000008304681,0.0001272004,0.0001773739,0.000006696025,0.000006737932,0.0002141511,0.00001144193,0.002191809,0.9899017,0.0001856264,0.007163161,0.000005871903],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6559835,0.01502361,0.3004537,0.001731192,0.0008064241,0.0005770741,0.000483776,0.001247333,0.02369344],"genre_scores_gemma":[0.758394,0.009801325,0.187715,0.0007372724,0.0001040295,0.0003107917,0.0008079015,0.0001288667,0.04200073],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001479231,"threshold_uncertainty_score":0.004948556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03684577433450369,"score_gpt":0.303231721557133,"score_spread":0.2663859472226293,"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."}}