{"id":"W2102941013","doi":"10.1101/gr.3677206","title":"Copy number variation: New insights in genome diversity","year":2006,"lang":"en","type":"review","venue":"Genome Research","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":870,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Ontario Genomics Institute; Wellcome Trust; Canadian Institutes of Health Research; Ontario Genomics; Leukemia and Lymphoma Society; Genome Canada; Massachusetts General Hospital; Brigham and Women's Hospital; Howard Hughes Medical Institute","keywords":"Copy-number variation; Biology; Genetics; Genome; Variation (astronomy); Structural variation; Human genetic variation; Genetic variation; Gene; Phenotype; Human genome; Gene dosage; Genomics; Computational biology; Evolutionary biology; Comparative genomic hybridization; Gene expression","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":[0.001313287,0.001244585,0.002653451,0.003590336,0.0003687745,0.001948855,0.002041793,0.002247808,0.003346345],"category_scores_gemma":[0.001674411,0.0003914105,0.0005205927,0.003663975,0.002107951,0.003800806,0.001045646,0.002671993,0.002175464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563812,"about_ca_system_score_gemma":0.001035724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001312978,"about_ca_topic_score_gemma":0.001241874,"domain_scores_codex":[0.9994889,0.0001102314,0.00005015838,0.0001217025,0.0002000687,0.00002882549],"domain_scores_gemma":[0.999018,0.000596706,0.00007505072,0.00005153766,0.000185255,0.00007350786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007264753,0.00002972801,0.00049445,0.005975989,0.0001269785,0.0007902928,0.0001804981,0.0007471949,0.003437421,0.01658774,0.02803824,0.9435189],"study_design_scores_gemma":[0.00001758051,0.00006082621,0.00152523,0.001596006,0.00007398658,0.004202496,0.0001492385,0.0002209493,0.0007648655,0.01617224,0.9751748,0.00004172332],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001579216,0.9963472,0.0009418262,0.0009956566,0.000333573,0.000003276209,0.0000200228,0.00002019108,0.0011802],"genre_scores_gemma":[0.001177965,0.9963954,0.0008007085,0.0004177612,0.0004862424,0.000007305633,0.00003363801,0.000003702237,0.0006773103],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003590336,"threshold_uncertainty_score":0.01134634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08744079754405808,"score_gpt":0.362651021416473,"score_spread":0.2752102238724149,"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."}}