{"id":"W2896048754","doi":"10.1016/j.cancergen.2018.07.004","title":"Assessing copy number aberrations and copy-neutral loss-of-heterozygosity across the genome as best practice: An evidence-based review from the Cancer Genomics Consortium (CGC) working group for chronic lymphocytic leukemia","year":2018,"lang":"en","type":"review","venue":"Cancer Genetics","topic":"Chronic Lymphocytic Leukemia Research","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"North York General Hospital","funders":"","keywords":"Loss of heterozygosity; Copy-number variation; Chronic lymphocytic leukemia; Biology; Cytogenetics; Copy number analysis; Comparative genomic hybridization; Karyotype; Genetics; Genome; Genomics; Leukemia; Computational biology; Chromosome; Gene; Allele","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":[0.004549737,0.001124351,0.004726419,0.004317368,0.000285387,0.001987826,0.002202276,0.001992092,0.003237479],"category_scores_gemma":[0.01779222,0.0004958166,0.003279345,0.004578719,0.0006209793,0.001794809,0.001083897,0.001575952,0.000468512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499968,"about_ca_system_score_gemma":0.004243269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004892964,"about_ca_topic_score_gemma":0.01016378,"domain_scores_codex":[0.9978536,0.0006369076,0.0006715701,0.0002627705,0.0005048006,0.00007025839],"domain_scores_gemma":[0.9895201,0.008208992,0.001070191,0.0001064704,0.0009889869,0.000105289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0003198346,0.00003375642,0.0007564391,0.3767321,0.003623432,0.0001512473,0.0001219903,0.0004715157,0.0003974811,0.001562694,0.01441751,0.601412],"study_design_scores_gemma":[0.000375753,0.0003164704,0.006106524,0.5395677,0.03670738,0.001633857,0.0003436333,0.0003001913,0.0006440994,0.00425664,0.4096065,0.0001413025],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005911097,0.9994494,0.00006348925,0.0001988634,0.00005843573,0.00001064737,0.00005786266,0.000001859311,0.0001002457],"genre_scores_gemma":[0.001040845,0.9981903,0.0002413248,0.0003491984,0.00005187647,0.00001542515,0.00006714287,0.000001273262,0.00004257892],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004892964,"threshold_uncertainty_score":0.02406162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1777208634895007,"score_gpt":0.4850319953298319,"score_spread":0.3073111318403312,"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."}}