{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001322871,0.00008452856,0.0002288774,0.00008996493,0.00005379461,0.00001586204,0.0000330904,0.0000729962,0.00009135695],"category_scores_gemma":[0.0001510487,0.00006997213,0.00005520655,0.0001286094,0.00007446883,0.00005536509,0.00001947881,0.00004513751,0.00004613943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004108957,"about_ca_system_score_gemma":0.00005389583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008274556,"about_ca_topic_score_gemma":0.00003068671,"domain_scores_codex":[0.9992769,0.00002870831,0.0001741373,0.0001897818,0.0001428028,0.0001876242],"domain_scores_gemma":[0.9992347,0.0001584527,0.00006011876,0.0001586452,0.0002093177,0.0001787261],"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":[0.001233369,0.00003181158,0.003373749,0.0003062139,0.00003009094,0.000002906584,0.0002085582,5.264456e-9,0.9863952,0.0002722118,0.002599024,0.005546858],"study_design_scores_gemma":[0.00170563,0.002227406,0.04909989,0.0001945049,0.00003845965,0.00003061422,0.0003423803,0.00004365313,0.9283987,0.00003201997,0.01781137,0.00007533439],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932478,0.0002093301,0.00458543,0.0001542916,0.000290106,0.0005396681,0.00004516481,0.00003627803,0.000891948],"genre_scores_gemma":[0.9931208,0.000054381,0.005782366,0.00002071549,0.0004054578,0.00002599668,0.00000820341,0.00001468852,0.0005673955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05799646,"threshold_uncertainty_score":0.2853381,"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."}}