{"id":"W2040456254","doi":"10.1063/1.3463720","title":"Gold nanoparticle-assisted single base-pair mismatch discrimination on a microfluidic microarray device","year":2010,"lang":"en","type":"article","venue":"Biomicrofluidics","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Amplicon; Microfluidics; Colloidal gold; DNA; Nanotechnology; Botrytis; Materials science; Biosensor; DNA microarray; Base pair; Nanoparticle; DNA–DNA hybridization; Molecule; Polymerase chain reaction; Analytical Chemistry (journal); Chemistry; Chromatography; Botrytis cinerea; Biology; Biochemistry; Gene; Organic chemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001969434,0.0002822968,0.0001762945,0.00007931562,0.0001802912,0.00006236775,0.0003084511,0.0003088542,0.0000110161],"category_scores_gemma":[0.00008640688,0.000273539,0.0001313847,0.0002241461,0.0001944813,0.000008117666,0.0001127093,0.000192126,0.00006358017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003869422,"about_ca_system_score_gemma":0.0000654973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002475949,"about_ca_topic_score_gemma":0.00002042618,"domain_scores_codex":[0.9984991,0.00004533999,0.000331029,0.000603822,0.0001381355,0.0003825825],"domain_scores_gemma":[0.9987556,0.00002324207,0.0001337046,0.0007921997,0.0001518469,0.000143431],"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":[0.00005560794,0.0003130217,0.0001517212,0.00001425291,0.00001649945,0.00000249718,0.0000219542,1.064984e-7,0.9352049,0.0002776785,0.05700953,0.006932284],"study_design_scores_gemma":[0.0003220264,0.0001705935,0.0003823802,0.00001848928,0.00002066542,0.00003640939,0.00002554464,0.000007125131,0.7215102,0.00008405356,0.2771643,0.0002581742],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926372,0.0006669438,0.003591275,0.001844254,0.0002950873,0.0003710714,0.00007795187,0.0001487078,0.0003675568],"genre_scores_gemma":[0.9847991,0.0001815516,0.01213136,0.001218844,0.0002596962,0.00004244906,0.0003574708,0.000068008,0.00094153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2201548,"threshold_uncertainty_score":0.9999717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02109993527753308,"score_gpt":0.2696094625478513,"score_spread":0.2485095272703182,"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."}}