{"id":"W2102469725","doi":"10.1093/nar/gkn378","title":"Impact of whole genome amplification on analysis of copy number variants","year":2008,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"University of British Columbia; Michael Smith Health Research BC; Genome British Columbia; Canada's Michael Smith Genome Sciences Centre; Eli Lilly and Company","keywords":"Biology; Copy-number variation; Genome; Genetics; Copy number analysis; SNP array; Human genome; Gene duplication; Multiple displacement amplification; Chromosome; Computational biology; Gene; Single-nucleotide polymorphism; Polymerase chain reaction; DNA extraction","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":[0.004536667,0.0007926267,0.0008616331,0.0008972197,0.0002878118,0.000842948,0.0003660191,0.0005306686,0.001408774],"category_scores_gemma":[0.01563701,0.000462548,0.0005165105,0.0008876281,0.0008392975,0.0004779751,0.0006098912,0.0008537755,0.0004162924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003762875,"about_ca_system_score_gemma":0.0004200826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00108524,"about_ca_topic_score_gemma":0.001880281,"domain_scores_codex":[0.9926173,0.003796931,0.0004833203,0.001251717,0.001661137,0.0001895409],"domain_scores_gemma":[0.9823054,0.01509929,0.0006767765,0.00122062,0.0005717438,0.0001262178],"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":[0.000470816,0.00006892379,0.01179395,0.0002409789,0.0001684817,0.0003206726,0.0001069601,0.003964074,0.9541157,0.0004952719,0.0001773857,0.0280769],"study_design_scores_gemma":[0.00002958993,0.0007077891,0.06793991,0.0000335277,0.0002575656,0.001348781,0.00004626964,0.03519066,0.8908405,0.0008972504,0.00265906,0.00004901213],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8148625,0.005573028,0.1737152,0.0006451021,0.0001661365,0.0002420961,0.0009045354,0.001000551,0.002890873],"genre_scores_gemma":[0.8606305,0.001833087,0.1335565,0.0006600095,0.00003792807,0.0001828149,0.001229954,0.0004289223,0.001440202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004536667,"threshold_uncertainty_score":0.02399254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0448862034867131,"score_gpt":0.3491683921793312,"score_spread":0.304282188692618,"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."}}