{"id":"W2527923295","doi":"","title":"In vitro selection and biochemical characterization of trivalent metal ion dependent RNA-cleaving DNAzymes","year":2016,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Waterloo","keywords":"Deoxyribozyme; In vitro; Characterization (materials science); Selection (genetic algorithm); Chemistry; RNA; Metal; Biochemistry; Computational biology; Biology; Cell biology; Nanotechnology; Materials science; Computer science; DNA; Gene; Organic chemistry; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000345294,0.0005420155,0.0005278571,0.0004286532,0.0001632297,0.0005074518,0.0004784895,0.000353353,0.001018359],"category_scores_gemma":[0.0004221512,0.0002880039,0.0005560648,0.0005556883,0.0001600189,0.0002041268,0.0002875016,0.0008734642,0.001442746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002236269,"about_ca_system_score_gemma":0.0001803271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005800209,"about_ca_topic_score_gemma":0.0007622518,"domain_scores_codex":[0.9995522,0.00007679656,0.00007388997,0.00009466619,0.0001260574,0.00007637229],"domain_scores_gemma":[0.9997361,0.00006457625,0.00006621167,0.00003460588,0.00006188391,0.00003656078],"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":[0.00001683271,0.00003100184,0.0001179243,0.00006208591,0.000005271346,0.00003503294,0.00002145547,0.0001034784,0.9981042,0.00004718744,0.00005535918,0.001400151],"study_design_scores_gemma":[0.000003506254,0.0001122306,0.0008303997,0.00000994383,0.00001460963,0.00009587476,0.00002376382,0.0004711894,0.9940045,0.00002588995,0.004401644,0.000006412687],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8836265,0.01301202,0.08900417,0.0005908529,0.0002758896,0.0006748008,0.003012849,0.0005866016,0.009216435],"genre_scores_gemma":[0.8460644,0.0126099,0.1007085,0.0004251745,0.00008373676,0.0006238692,0.01467041,0.0002849678,0.02452913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001018359,"threshold_uncertainty_score":0.003406703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004800119263053521,"score_gpt":0.2099773645541961,"score_spread":0.2051772452911426,"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."}}