{"id":"W2043213961","doi":"10.1186/1755-8794-1-5","title":"Robust SNP genotyping by multiplex PCR and arrayed primer extension","year":2008,"lang":"en","type":"article","venue":"BMC Medical Genomics","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Paul's Hospital; University of British Columbia","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC; British Columbia Lung Association; National Sanitarium Association; McGill University","keywords":"Genotyping; International HapMap Project; SNP genotyping; Single-nucleotide polymorphism; Multiplex; Biology; Multiplex polymerase chain reaction; SNP array; Genetics; Primer (cosmetics); SNP; Genotype; dbSNP; Molecular Inversion Probe; DNA microarray; Computational biology; Polymerase chain reaction; Gene; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01152044,0.00277678,0.002284147,0.002231531,0.0005467938,0.002187201,0.002945635,0.002256192,0.002259357],"category_scores_gemma":[0.01745663,0.00208312,0.002028557,0.001323129,0.0018544,0.001633969,0.002451369,0.003371108,0.003775078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006896816,"about_ca_system_score_gemma":0.001082123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003139949,"about_ca_topic_score_gemma":0.0007004664,"domain_scores_codex":[0.9724253,0.008558223,0.00235872,0.009245853,0.006378993,0.001032935],"domain_scores_gemma":[0.9874154,0.005459774,0.002192118,0.002503913,0.002151539,0.0002773796],"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":[0.0006838308,0.0002582175,0.002838461,0.0009281845,0.0002945372,0.0002349212,0.0002810802,0.007066649,0.9139118,0.001808706,0.001728699,0.06996498],"study_design_scores_gemma":[0.0001170461,0.0009508178,0.003234584,0.0001279156,0.0002430105,0.0007957976,0.00004426166,0.04425868,0.9350593,0.001510008,0.01340695,0.0002515666],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01982148,0.0009937733,0.9739474,0.0001303151,0.0001606595,0.0009723728,0.0006616074,0.0024579,0.0008545642],"genre_scores_gemma":[0.04628004,0.0005332774,0.9483224,0.0003223916,0.00006873086,0.001964373,0.001093551,0.0002810346,0.001134242],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01152044,"threshold_uncertainty_score":0.06092662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03778443708531583,"score_gpt":0.2631501439837545,"score_spread":0.2253657068984386,"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."}}