{"id":"W1995936398","doi":"10.1088/0960-1317/22/11/115038","title":"Microfluidic system to detect DNA amplicons using agglutination technique","year":2012,"lang":"en","type":"article","venue":"Journal of Micromechanics and Microengineering","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Metaara Medical Technologies (Canada); Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microfluidics; Microfabrication; Nanotechnology; Streptavidin; DNA; Biosensor; Fabrication; Materials science; Chemistry; Biotin","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":[0.0006980937,0.0006869124,0.0003832662,0.0005477661,0.000350706,0.0004473302,0.0005295686,0.0005718793,0.0008635157],"category_scores_gemma":[0.0006718769,0.0002743393,0.0003128364,0.0001922854,0.0002800166,0.0002893652,0.0004279334,0.0004318383,0.0007074265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004180323,"about_ca_system_score_gemma":0.0004814058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004258288,"about_ca_topic_score_gemma":0.0006021925,"domain_scores_codex":[0.9993109,0.00009403424,0.00007504589,0.0001812845,0.0002766558,0.000062159],"domain_scores_gemma":[0.9996427,0.0001208927,0.00007559347,0.00003782574,0.00009423509,0.00002869349],"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":[0.00005958757,0.000040404,0.0004744501,0.0001539489,0.00001636672,0.00006078792,0.00004720949,0.0002512252,0.9819133,0.000681927,0.0005212012,0.01577964],"study_design_scores_gemma":[0.00003474367,0.0005162826,0.002104964,0.0000171773,0.00004454641,0.0005322421,0.00001560219,0.005454623,0.9711329,0.0001782422,0.019928,0.00004059131],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3798685,0.01289892,0.5869865,0.001485951,0.001670169,0.001218627,0.00123151,0.004706194,0.009933691],"genre_scores_gemma":[0.665481,0.003549532,0.3189321,0.001132389,0.0002319432,0.0007265646,0.0009592415,0.00007333328,0.008913912],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008635157,"threshold_uncertainty_score":0.003691912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00722364910438563,"score_gpt":0.2012472474674992,"score_spread":0.1940235983631136,"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."}}