{"id":"W2017206380","doi":"10.1021/ac5031557","title":"Highly Specific Recognition of Breast Tumors by an RNA-Cleaving Fluorogenic DNAzyme Probe","year":2014,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Deoxyribozyme; Breast cancer; Systematic evolution of ligands by exponential enrichment; Chemistry; Aptamer; Cancer research; Cancer; Lysis; RNA; Cell; DNA; Computational biology; Internal medicine; Molecular biology; Biochemistry; Biology; Medicine; Gene","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":[0.0004362337,0.0006087051,0.0002828775,0.0002415166,0.0001027653,0.0002596071,0.0003950911,0.000699013,0.0006574701],"category_scores_gemma":[0.000364033,0.0001962193,0.000288166,0.0001974821,0.0002816955,0.0002079083,0.0002395411,0.0004493388,0.0004120533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003240791,"about_ca_system_score_gemma":0.0001347904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002868927,"about_ca_topic_score_gemma":0.0003680608,"domain_scores_codex":[0.9995931,0.00007577383,0.00001989546,0.0001577412,0.00009133708,0.00006206684],"domain_scores_gemma":[0.9998319,0.00005084549,0.00004831874,0.00001455312,0.00003200381,0.00002229746],"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":[0.000007561552,0.00000463635,0.0000294935,0.00001856403,0.000001866503,0.0000150972,0.000006400714,0.0000343453,0.999139,0.00003845068,0.00001806512,0.0006865308],"study_design_scores_gemma":[0.000003528302,0.00006791852,0.000285574,0.000001651857,0.000003770131,0.00008673162,0.000006006357,0.0005173699,0.9981874,0.00001043665,0.000826523,0.000003057332],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8533115,0.003260834,0.1367219,0.0005448691,0.0001008046,0.0001734976,0.0003987749,0.0004629012,0.005024871],"genre_scores_gemma":[0.9319986,0.001122709,0.06140751,0.0002764266,0.00002258622,0.0001597366,0.0005808044,0.0000380629,0.004393645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000699013,"threshold_uncertainty_score":0.002351403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009116423690268006,"score_gpt":0.2423513770879271,"score_spread":0.2332349533976591,"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."}}