{"id":"W2466985514","doi":"10.1097/01.jto.0000283361.52989.e3","title":"PD2-2-7: Two wrongs make a right: the use of whole genome amplification for pair-wise genome-wide copy number analysis of limited patient material","year":2007,"lang":"en","type":"article","venue":"Journal of Thoracic Oncology","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency","funders":"","keywords":"Genome; Copy number analysis; Gene duplication; Copy-number variation; Computational biology; Multiple displacement amplification; Gene dosage; Biology; SNP array; Polymerase chain reaction; Human genome; Genetics; Molecular biology; Gene; Single-nucleotide polymorphism; DNA extraction","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":[0.002035137,0.0005586513,0.0007114724,0.001187593,0.0003277902,0.001280913,0.001038178,0.001703413,0.001664107],"category_scores_gemma":[0.005456373,0.0006790348,0.0004713538,0.0005495106,0.0009624982,0.0009151904,0.0008227642,0.002344876,0.000731034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003726022,"about_ca_system_score_gemma":0.0003256174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004554071,"about_ca_topic_score_gemma":0.001323799,"domain_scores_codex":[0.9984313,0.0004287359,0.0001111644,0.0004567137,0.0004530617,0.0001190026],"domain_scores_gemma":[0.998409,0.0009347763,0.00009967286,0.0002800721,0.0001471925,0.0001293206],"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":[0.002970492,0.0003011555,0.1424222,0.0003409541,0.0006329402,0.01060159,0.0005141389,0.003165898,0.5133786,0.003539231,0.01055146,0.3115813],"study_design_scores_gemma":[0.0003710019,0.001527099,0.1463944,0.0001352669,0.0006735649,0.1002817,0.0005897578,0.05507892,0.6487303,0.01086434,0.03508812,0.0002655857],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8694322,0.005875134,0.09969629,0.01329002,0.0006300716,0.0002554586,0.002027229,0.001959615,0.00683398],"genre_scores_gemma":[0.9210138,0.001000334,0.0709672,0.002966308,0.000149495,0.0001261176,0.001018862,0.0003389769,0.002419019],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002035137,"threshold_uncertainty_score":0.01076299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02352908507514999,"score_gpt":0.3282995411410309,"score_spread":0.3047704560658809,"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."}}