{"id":"W2903143161","doi":"10.1039/c8nr07850e","title":"A new DNA sensor system for specific and quantitative detection of mycobacteria","year":2018,"lang":"en","type":"article","venue":"Nanoscale","topic":"Mycobacterium research and diagnosis","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Familien Erichsens Mindefond; Aage og Johanne Louis-Hansens Fond; Marie og M.B. Richters Fond; Novo Nordisk Fonden; Minister Erna Hamiltons Legat for Videnskab og Kunst; Civilingeniør Frode V. Nyegaard og Hustrus Fond; Karen Elise Jensens Fond; Aase og Ejnar Danielsens Fond; Chinese University of Hong Kong; University of Pittsburgh; Arvid Nilssons Fond","keywords":"DNA; Computational biology; Nanotechnology; Microbiology; Biological system; Materials science; Biology; Genetics","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":[0.0005960637,0.0009316613,0.001007337,0.0005201927,0.0002953736,0.0006938266,0.001104373,0.00188843,0.001918178],"category_scores_gemma":[0.0004481637,0.0004843917,0.0004907098,0.0003522173,0.0004268137,0.001258693,0.0006182403,0.001328746,0.001607709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005405865,"about_ca_system_score_gemma":0.0003339314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001796482,"about_ca_topic_score_gemma":0.0002407567,"domain_scores_codex":[0.999089,0.000120543,0.00005940159,0.0003202937,0.0003345369,0.00007612644],"domain_scores_gemma":[0.9997632,0.00006126227,0.00004533078,0.00001690115,0.0000651784,0.00004811095],"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":[0.00004317893,0.00001695986,0.00004833758,0.0002064087,0.00001008384,0.00004846004,0.00002642129,0.00005155033,0.9942446,0.0003666236,0.0001332255,0.004804126],"study_design_scores_gemma":[0.00001338276,0.0002390852,0.0002435667,0.00001276821,0.0000236024,0.0004245773,0.00001512488,0.001817391,0.9845765,0.00009096676,0.01251892,0.00002421535],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3084615,0.02497805,0.6486805,0.001555312,0.002089863,0.001102991,0.001729583,0.005148218,0.006253944],"genre_scores_gemma":[0.5049277,0.007951592,0.4628796,0.002233002,0.0004309221,0.001480728,0.002121522,0.0001846709,0.01779024],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001918178,"threshold_uncertainty_score":0.006416917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03106797848720963,"score_gpt":0.3019748980514984,"score_spread":0.2709069195642888,"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."}}