{"id":"W2022749565","doi":"10.1016/j.ab.2010.01.017","title":"Optimization of a microfluidic microarray device for the fast discrimination of fungal pathogenic DNA","year":2010,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microfluidics; Microchannel; Materials science; DNA; DNA microarray; Chromatography; Rolling circle replication; Polymerase chain reaction; Analytical Chemistry (journal); Biological system; Nanotechnology; Biology; Chemistry; Polymerase; Genetics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000110132,0.0001044247,0.0001379269,0.00002530568,0.00004464934,0.000008608015,0.000192779,0.0001152145,0.00007337414],"category_scores_gemma":[0.00005223658,0.00008412699,0.0001117494,0.0001813336,0.0001124259,0.00002089209,0.00001652036,0.0001136122,0.000001766064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001560607,"about_ca_system_score_gemma":0.00003113427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003458771,"about_ca_topic_score_gemma":8.109781e-7,"domain_scores_codex":[0.9993561,0.000004685905,0.0002678626,0.0001349863,0.00009263545,0.000143756],"domain_scores_gemma":[0.9994041,0.00009443283,0.00005107997,0.0002893206,0.0001186842,0.00004235933],"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":[0.000008196744,0.00002948623,0.00004121909,0.000132814,0.00004942426,8.356056e-8,0.0000291161,0.00006137871,0.992742,0.000283191,0.00599901,0.0006240897],"study_design_scores_gemma":[0.000136433,0.00001258846,0.0001142611,0.00001096785,0.000126086,0.000004573552,0.00006444196,0.01070423,0.9868683,0.00003061532,0.001839555,0.00008794576],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9174992,0.01292816,0.06841571,0.0001959992,0.00005900084,0.000244195,0.0001238121,0.00003816342,0.0004957533],"genre_scores_gemma":[0.9953395,0.003891122,0.0004749822,0.00001769959,0.00006368478,0.00003097637,0.00008495813,0.00001764423,0.00007942454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0778403,"threshold_uncertainty_score":0.3430599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006618747089598704,"score_gpt":0.2184839677648938,"score_spread":0.2118652206752951,"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."}}