{"id":"W2003763230","doi":"10.1089/109065703322783635","title":"Heteroduplex-Based Genotyping with Microchip Electrophoresis and dHPLC","year":2003,"lang":"en","type":"article","venue":"Genetic Testing","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Heteroduplex; Electropherogram; Amplicon; Genotyping; Denaturing high performance liquid chromatography; Computational biology; Biology; Chromatography; Genetics; Mutation; DNA; Chemistry; Electrophoresis; Polymerase chain reaction; Gene; Genotype","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008698108,0.0001727325,0.0001323536,0.00006258592,0.0001466285,0.00004383971,0.00008084677,0.00004801071,0.00002429491],"category_scores_gemma":[0.00004671834,0.0001658831,0.00001808748,0.000291695,0.00004069184,0.00001719407,0.000007113141,0.0001157763,0.00001074717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003470129,"about_ca_system_score_gemma":0.00004230806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001042614,"about_ca_topic_score_gemma":0.000003837084,"domain_scores_codex":[0.9991013,0.00002327359,0.0001610717,0.0002426623,0.0001099813,0.0003616859],"domain_scores_gemma":[0.9995346,0.00007024757,0.00002621568,0.0002265147,0.0000570024,0.00008544117],"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":[0.000003343452,0.000008022843,0.004112116,0.00004217084,0.00002023423,0.000004358433,0.00003922068,0.001073045,0.9888227,0.00009151491,0.001383653,0.00439961],"study_design_scores_gemma":[0.0008344266,0.0002530295,0.03675694,0.00008038301,0.0001069952,0.000296643,0.00005542768,0.007440247,0.9195386,0.0004461395,0.03330813,0.0008830818],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9430472,0.0312353,0.02412761,0.00002748888,0.00001722913,0.0001641397,0.000002307704,0.0002127987,0.001165895],"genre_scores_gemma":[0.9746521,0.001039247,0.02406201,0.00008347637,0.00003368697,0.00004130244,0.000004089023,0.00005365949,0.0000303951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06928416,"threshold_uncertainty_score":0.6764516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007292235488634898,"score_gpt":0.1669143648846795,"score_spread":0.1596221293960446,"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."}}