{"id":"W4386438154","doi":"10.1158/0008-5472.can-23-0816","title":"Analysis and Visualization of Longitudinal Genomic and Clinical Data from the AACR Project GENIE Biopharma Collaborative in cBioPortal","year":2023,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":853,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"National Center for Research Resources; Stand Up To Cancer; Ben and Catherine Ivy Foundation; Instituto Tecnológico de Costa Rica; Adenoid Cystic Carcinoma Research Foundation; Parker Institute for Cancer Immunotherapy; National Cancer Institute; Robertson Foundation; Memorial Sloan-Kettering Cancer Center; Breast Cancer Research Foundation; American Association for Cancer Research; Prostate Cancer Foundation; Cholangiocarcinoma Foundation","keywords":"Cancer; Medicine; Genomics; Visualization; Data science; Bioinformatics; Computer science; Data mining; Genome; Internal medicine; Biology; Genetics; 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":[0.006715428,0.001868891,0.001178173,0.006351233,0.001138751,0.005199969,0.00269001,0.001749735,0.02486843],"category_scores_gemma":[0.02306485,0.0008820065,0.002493666,0.005787046,0.0006465443,0.003209427,0.006409601,0.003042576,0.01207518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001391344,"about_ca_system_score_gemma":0.003425163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009422474,"about_ca_topic_score_gemma":0.009927711,"domain_scores_codex":[0.9963285,0.0009724204,0.0005460671,0.000757774,0.001117564,0.0002776517],"domain_scores_gemma":[0.9849021,0.005211314,0.0009547226,0.004453551,0.003130787,0.001347411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001515652,0.0002158651,0.01703976,0.002072725,0.0004313471,0.0009392048,0.00107429,0.008111001,0.008224313,0.01109731,0.8867897,0.06248889],"study_design_scores_gemma":[0.001140471,0.0001754805,0.03107597,0.001407648,0.0003660503,0.001197656,0.0007402633,0.0790484,0.0249498,0.04180386,0.817609,0.0004854774],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.0165836,0.001297183,0.1200811,0.004614622,0.001278921,0.0005719108,0.5908991,0.2538605,0.01081309],"genre_scores_gemma":[0.05373919,0.0009960679,0.1394839,0.001312368,0.0003285213,0.001229008,0.7752827,0.02426405,0.003364331],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02486843,"threshold_uncertainty_score":0.08319318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.157915453429175,"score_gpt":0.5056920842015609,"score_spread":0.3477766307723859,"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."}}