{"id":"W2314661020","doi":"10.1200/jco.2007.25.18_suppl.9500","title":"Identification of genomic DNA signatures predicting relapse in low- and intermediate-risk neuroblastoma using a case control design and high-density SNP genotyping: A Children's Oncology Group (COG) study","year":2007,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Neuroblastoma Research and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital","funders":"","keywords":"Loss of heterozygosity; Oncology; Internal medicine; Genotyping; SNP array; Medicine; SNP; Malignancy; Single-nucleotide polymorphism; Neuroblastoma; Genotype; Genetics; Allele; Biology; 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":[0.003506913,0.0006642687,0.0005483462,0.0009534499,0.0007834802,0.000884603,0.0009619454,0.0007890475,0.001215842],"category_scores_gemma":[0.004397102,0.000474659,0.0006599184,0.0007102364,0.001014345,0.0002121862,0.0006517961,0.0004842023,0.0001814351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009448202,"about_ca_system_score_gemma":0.0007314616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006853005,"about_ca_topic_score_gemma":0.007996414,"domain_scores_codex":[0.997387,0.001144794,0.0001427031,0.0008689566,0.0003085792,0.0001480531],"domain_scores_gemma":[0.997572,0.000914686,0.0004292465,0.0006539201,0.0001863452,0.0002437274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009873047,0.0006077825,0.9709777,0.00005784848,0.0007678995,0.000478687,0.0003585361,0.0004664689,0.006410234,0.0002488261,0.0004590286,0.009293858],"study_design_scores_gemma":[0.00104646,0.002260624,0.9908341,0.00001762727,0.0005640782,0.0008200435,0.0001527094,0.001346073,0.00140444,0.0001327641,0.001399935,0.00002130927],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986564,0.000129846,0.0006358772,0.00001731021,0.000006063163,0.00009422555,0.000275973,0.000007922198,0.0001764177],"genre_scores_gemma":[0.9968388,0.00006981789,0.001850894,0.00003759374,0.00001193434,0.000185227,0.0008241986,0.00001407221,0.0001675752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006853005,"threshold_uncertainty_score":0.01854658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05585229353476018,"score_gpt":0.4097157365744569,"score_spread":0.3538634430396967,"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."}}