{"id":"W2151178589","doi":"10.1093/neuonc/nop001","title":"Genome-wide profiling using single-nucleotide polymorphism arrays identifies novel chromosomal imbalances in pediatric glioblastomas","year":2010,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Hospital for Sick Children; McGill University and Génome Québec Innovation Centre; Montreal Children's Hospital","funders":"Canadian Institutes of Health Research","keywords":"Biology; Loss of heterozygosity; SNP array; Genetics; Single-nucleotide polymorphism; Computational biology; SNP; Copy-number variation; Gene; SNP genotyping; Genome; Cancer research; Genotype; Allele","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002200902,0.0003344407,0.0006699151,0.0005469749,0.0001374672,0.00004736514,0.0001884899,0.0002782601,0.00009801143],"category_scores_gemma":[0.0003675573,0.0003080778,0.0001609952,0.0005550545,0.0001657976,0.0001697388,0.0001289545,0.0006266476,0.00006290273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002632245,"about_ca_system_score_gemma":0.0003375612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009260307,"about_ca_topic_score_gemma":0.0005072455,"domain_scores_codex":[0.9976906,0.0000747817,0.0006017539,0.0006557641,0.0003098425,0.0006673087],"domain_scores_gemma":[0.998476,0.0004834767,0.0002839751,0.0004088732,0.000103602,0.0002440953],"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":[0.00008734391,0.001100247,0.3018063,0.00003995312,0.00002431938,0.001016092,0.0001606764,0.00003735895,0.6953092,0.00002657035,0.00003115711,0.0003608326],"study_design_scores_gemma":[0.007713776,0.001917124,0.4399945,0.00004739249,0.0004716089,0.001352114,0.0001880948,0.0006829444,0.5410225,0.00009265979,0.006007834,0.0005094383],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943468,0.0003731222,0.00002848327,0.001323832,0.002060681,0.0006858075,0.00001373542,0.0001115125,0.001056034],"genre_scores_gemma":[0.99555,0.00008229668,0.002354301,0.0006160527,0.001231382,0.00007092499,0.00002033213,0.00006433555,0.00001040992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1542867,"threshold_uncertainty_score":0.9999371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02482329394493066,"score_gpt":0.2787654453868649,"score_spread":0.2539421514419342,"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."}}