{"id":"W4393072481","doi":"10.1158/1538-7445.am2024-149","title":"Abstract 149: Modeling patient-specific <i>CHEK2</i> genetic variants associated with high-risk neuroblastoma","year":2024,"lang":"en","type":"article","venue":"Cancer Research","topic":"Neuroblastoma Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"CHEK2; Neuroblastoma; Medicine; Genetics; Oncology; Internal medicine; Biology; Cancer research; Mutation; Gene; Germline mutation","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":[0.0001620472,0.0003840428,0.0001820502,0.0002332686,0.0001738141,0.000237006,0.0002971222,0.0003780329,0.002786128],"category_scores_gemma":[0.0002585329,0.0001255468,0.000287343,0.0001314834,0.000168724,0.0001049677,0.0001980744,0.000364049,0.0003134706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000580765,"about_ca_system_score_gemma":0.0004712977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007169859,"about_ca_topic_score_gemma":0.006529418,"domain_scores_codex":[0.9999312,0.00001013019,0.000004528358,0.00002290676,0.00002058759,0.00001063934],"domain_scores_gemma":[0.9999144,0.00001864822,0.00003491703,0.000007598735,0.000009606095,0.00001480426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008013242,0.0002795428,0.03654341,0.0001276247,0.0001062068,0.001527211,0.00008316666,0.01978979,0.9291834,0.001413678,0.001451894,0.008692799],"study_design_scores_gemma":[0.0004546508,0.004112922,0.1476751,0.00008627044,0.0005243279,0.008821856,0.0002812253,0.219692,0.6002122,0.001630495,0.01641274,0.00009629571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890514,0.000116267,0.007215326,0.0001168014,0.00001513485,0.00007870738,0.001905106,0.000151855,0.001349371],"genre_scores_gemma":[0.9900158,0.0001368917,0.006888438,0.00004398282,0.000003598422,0.0001022519,0.00147055,0.00004233378,0.001296209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007169859,"threshold_uncertainty_score":0.0142563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05300717004199528,"score_gpt":0.3437253068774087,"score_spread":0.2907181368354134,"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."}}