{"id":"W2021513920","doi":"10.1515/cclm.2005.026","title":"Whole genome amplification of buccal cell DNA: genotyping concordance before and after multiple displacement amplification","year":2005,"lang":"en","type":"article","venue":"Clinical Chemistry and Laboratory Medicine (CCLM)","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Ontario; University Health Network; University of Toronto","funders":"Dairy Farmers of Canada","keywords":"Genotyping; Concordance; Buccal swab; Multiple displacement amplification; Biology; Genome; Gene duplication; DNA; Genetics; Molecular biology; Polymerase chain reaction; Genotype; DNA extraction; Gene","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":[0.0003998647,0.0001620743,0.0002434438,0.00001070852,0.00007927298,0.00001076523,0.0001027239,0.000192092,0.0000547846],"category_scores_gemma":[0.0001534284,0.0001449249,0.00003779529,0.00006416682,0.0003704872,0.00001088716,0.00007239854,0.0001329545,0.000003210125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001539571,"about_ca_system_score_gemma":0.00007057786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004782875,"about_ca_topic_score_gemma":0.0000133065,"domain_scores_codex":[0.9987251,0.00004843993,0.0005722988,0.0003891069,0.0001003494,0.000164709],"domain_scores_gemma":[0.9991001,0.00004711517,0.0002282399,0.0003147955,0.000160286,0.0001494195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001724534,0.0001236675,0.05755296,0.0002323985,0.00003713743,9.01897e-7,0.0002603283,0.00001699993,0.9403257,0.00003748916,0.0002299276,0.001010083],"study_design_scores_gemma":[0.004902873,0.0007662756,0.4078579,0.0001537038,0.0002156194,0.00001610772,0.001924982,0.0003640775,0.3417653,0.0001153772,0.2412507,0.000667101],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954311,0.00231696,0.001149907,0.0005456865,0.00005712817,0.0001411761,0.0001419055,0.0000091005,0.0002070651],"genre_scores_gemma":[0.9968761,0.0004851404,0.0006767731,0.0003047241,0.000777858,0.00003475773,0.0003289753,0.00001444944,0.000501201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5985604,"threshold_uncertainty_score":0.5909866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01131474480253872,"score_gpt":0.2681268655705822,"score_spread":0.2568121207680435,"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."}}