{"id":"W2522746526","doi":"10.1007/s12274-016-1262-z","title":"NanoHDA: A nanoparticle-assisted isothermal amplification technique for genotyping assays","year":2016,"lang":"en","type":"article","venue":"Nano Research","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"QIMR Berghofer Medical Research Institute","keywords":"Recombinase Polymerase Amplification; Loop-mediated isothermal amplification; Amplicon; Colloidal gold; DNA; Denaturation (fissile materials); Helicase; Molecular biology; Polymerase chain reaction; Genotyping; Multiple displacement amplification; Chemistry; Primer (cosmetics); Nanoparticle; Biophysics; Nanotechnology; Materials science; Genotype; Gene; Biology; Biochemistry; DNA extraction; RNA; Nuclear chemistry","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":[0.0009247842,0.0006383255,0.0008278823,0.0009724573,0.0003747956,0.000596037,0.001090084,0.0008887359,0.001461736],"category_scores_gemma":[0.0007185452,0.0005594981,0.0004330061,0.0003723243,0.0005202271,0.0006330319,0.0006186704,0.000983896,0.001166749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006068167,"about_ca_system_score_gemma":0.0004380661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004939314,"about_ca_topic_score_gemma":0.001137607,"domain_scores_codex":[0.9987289,0.0002327639,0.00007030004,0.000363454,0.0005302613,0.00007435042],"domain_scores_gemma":[0.9994882,0.0001633585,0.0001120181,0.00009298696,0.00008679827,0.00005670578],"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":[0.00006095778,0.00005464294,0.0003897061,0.0001739071,0.00002352837,0.00004823901,0.00002824171,0.0002594495,0.9753234,0.0004856768,0.000364679,0.02278768],"study_design_scores_gemma":[0.00001006359,0.00007639152,0.0007670506,0.000006897941,0.00001877057,0.0002678922,0.000007448984,0.006017338,0.9851053,0.0001875553,0.007509445,0.00002587728],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1215684,0.004981204,0.8592857,0.0004669313,0.0003706451,0.000525978,0.001277792,0.006366289,0.00515706],"genre_scores_gemma":[0.3010164,0.001539111,0.6846476,0.0004495338,0.00009551915,0.000626179,0.0009513065,0.0002102816,0.01046402],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001461736,"threshold_uncertainty_score":0.00489074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06720974743587926,"score_gpt":0.3883331430425865,"score_spread":0.3211233956067072,"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."}}