{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001615227,0.0001396312,0.0001426,0.0000163903,0.0001505305,0.000006083001,0.0001597143,0.0003371571,0.00003876641],"category_scores_gemma":[0.0001914493,0.0001314478,0.00005977891,0.00004449326,0.0002253315,0.000001362401,0.0001836453,0.0001268132,0.00001230916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001105586,"about_ca_system_score_gemma":0.0002011652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001635894,"about_ca_topic_score_gemma":0.00002676358,"domain_scores_codex":[0.9989614,0.00005593124,0.0002118808,0.0004349283,0.0001157872,0.0002200997],"domain_scores_gemma":[0.9993061,0.00002249087,0.00006020702,0.0003546599,0.00005214954,0.0002043742],"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":[0.00003232832,0.00006048719,0.00174557,0.00001049239,0.0000198857,0.000007151245,0.00001417261,0.00001269924,0.9858615,0.0001122138,0.009810102,0.002313381],"study_design_scores_gemma":[0.001220797,0.0001732415,0.005673821,0.00001947033,0.00003323029,0.0005815967,0.00003037412,0.002137928,0.5554112,0.0001619305,0.4340137,0.0005427353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7656755,0.002292321,0.2310408,0.0002256998,0.00004510655,0.0001982457,0.00001978783,0.00003193818,0.0004705695],"genre_scores_gemma":[0.9061931,0.00758284,0.08096258,0.003014471,0.0003467177,0.00007293223,0.0007127369,0.00005632162,0.001058247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4304503,"threshold_uncertainty_score":0.5360286,"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."}}