{"id":"W2036080216","doi":"10.1038/srep00246","title":"Cross Priming Amplification: Mechanism and Optimization for Isothermal DNA Amplification","year":2012,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":220,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multiple displacement amplification; Primer (cosmetics); DNA polymerase; DNA; Amplicon; Molecular biology; Loop-mediated isothermal amplification; DNA clamp; Denaturation (fissile materials); Biophysics; Polymerase chain reaction; Chemistry; Biology; Biochemistry; Reverse transcriptase; DNA extraction; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001980107,0.00145692,0.000953108,0.000888966,0.0003473278,0.0009397321,0.001397995,0.001053821,0.002508845],"category_scores_gemma":[0.001356793,0.0008699421,0.0005596075,0.0009354076,0.0005439594,0.001540787,0.0007172262,0.001766213,0.00204887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006533029,"about_ca_system_score_gemma":0.0005305849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001419083,"about_ca_topic_score_gemma":0.0001415141,"domain_scores_codex":[0.9985493,0.000192013,0.0001041051,0.0003853528,0.0006377365,0.0001314685],"domain_scores_gemma":[0.9995092,0.0001230418,0.0001295744,0.00008332404,0.0001149855,0.00003990385],"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":[0.0001184403,0.000105967,0.0004198576,0.0004447514,0.00002005808,0.0001139539,0.00006205842,0.002008532,0.9584593,0.005274475,0.0005103761,0.03246216],"study_design_scores_gemma":[0.000008524444,0.0001035613,0.0002674175,0.00001358333,0.0000116998,0.0003982731,0.000006263988,0.00574786,0.9841082,0.0005325786,0.008781785,0.00002022164],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.18524,0.02111701,0.7786578,0.0004347317,0.0004581567,0.00108396,0.0005257388,0.002601415,0.009881171],"genre_scores_gemma":[0.528776,0.009793847,0.4472167,0.0002842939,0.0001852563,0.001469113,0.001174401,0.000547269,0.01055308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002508845,"threshold_uncertainty_score":0.01047194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01749872163086868,"score_gpt":0.2981365385458772,"score_spread":0.2806378169150086,"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."}}