{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001684778,0.0006091505,0.0007250949,0.001347141,0.0002678924,0.001181389,0.001080938,0.0007413844,0.0004336526],"category_scores_gemma":[0.002676642,0.0003906465,0.0003420703,0.001164543,0.0006762684,0.0006655913,0.0008074324,0.0005541457,0.0003862712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006474516,"about_ca_system_score_gemma":0.0003596658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001101526,"about_ca_topic_score_gemma":0.001417396,"domain_scores_codex":[0.9962056,0.001240684,0.0002159058,0.0008374118,0.001328123,0.0001722146],"domain_scores_gemma":[0.9984897,0.0008222528,0.000294348,0.0002044384,0.000123459,0.00006580469],"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":[0.0006017133,0.000128832,0.008282642,0.0006256404,0.0002764738,0.0002271112,0.000244464,0.002868754,0.8315639,0.003222006,0.0004867802,0.1514716],"study_design_scores_gemma":[0.00003270755,0.0008381473,0.02002798,0.00003955848,0.0001606603,0.002261991,0.00008908002,0.01337674,0.944812,0.0009533074,0.01729688,0.0001110771],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4102212,0.0457511,0.5284547,0.0005926623,0.0005971335,0.0006131019,0.0008370285,0.002267384,0.01066576],"genre_scores_gemma":[0.5264941,0.01229599,0.4552696,0.0003582218,0.000200846,0.0003516187,0.0005808368,0.00009976532,0.004348954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001684778,"threshold_uncertainty_score":0.00891012,"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."}}