{"id":"W2894767012","doi":"10.1016/j.cancergen.2018.07.002","title":"Assessing genome-wide copy number aberrations and copy-neutral loss-of-heterozygosity as best practice: An evidence-based review from the Cancer Genomics Consortium working group for plasma cell disorders","year":2018,"lang":"en","type":"review","venue":"Cancer Genetics","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto; Ontario Institute for Cancer Research","funders":"","keywords":"Plasma cell neoplasm; Plasma cell leukemia; Fluorescence in situ hybridization; Biology; Copy-number variation; Plasma cell; Multiple myeloma; Copy number analysis; Karyotype; Comparative genomic hybridization; Cytogenetics; Oncology; Bioinformatics; Cancer research; Computational biology; Genetics; Medicine; Chromosome; Genome; Immunology; Plasmacytoma; Gene","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":[0.004530203,0.001186278,0.004920794,0.004775236,0.000291949,0.002078566,0.002153094,0.002260589,0.003590647],"category_scores_gemma":[0.01439539,0.0005593541,0.003392392,0.004584673,0.0005865291,0.001994933,0.001183265,0.001846325,0.0006626021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001389557,"about_ca_system_score_gemma":0.004188874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00380102,"about_ca_topic_score_gemma":0.007992561,"domain_scores_codex":[0.9981669,0.000488166,0.0005965219,0.0002431754,0.0004392344,0.00006603421],"domain_scores_gemma":[0.990608,0.007208375,0.000987016,0.0001014036,0.0009903646,0.000104866],"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":[0.0003149408,0.00004231398,0.000683816,0.3129547,0.003123822,0.000193995,0.0001254489,0.0004682206,0.0005410073,0.001786787,0.01820764,0.6615573],"study_design_scores_gemma":[0.0003659394,0.0003199826,0.005787805,0.405334,0.02767507,0.001920224,0.0003413915,0.0003406074,0.0008326888,0.004453835,0.552466,0.0001624347],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000053933,0.999375,0.00007718351,0.0002303819,0.00007527436,0.00001064739,0.00006515135,0.000002398713,0.0001099979],"genre_scores_gemma":[0.0008718063,0.998175,0.0003015978,0.0004261693,0.00006858622,0.000015787,0.0000814188,0.000001697608,0.0000578272],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004920794,"threshold_uncertainty_score":0.02395833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.158159661908279,"score_gpt":0.4532366311074498,"score_spread":0.2950769691991708,"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."}}