{"id":"W4417209033","doi":"10.1158/1557-3265.earlyonsetca25-c007","title":"Abstract C007: Age-stratified insight into genomic alterations in colon adenocarcinoma via AACR GENIE v18.0","year":2025,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Colorectal cancer; Cohort; Cancer; Adenocarcinoma; Incidence (geometry); Colon adenocarcinoma","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001069821,0.0003882619,0.00064917,0.001956736,0.0004208407,0.001005194,0.0004750876,0.0003781951,0.01426273],"category_scores_gemma":[0.003399243,0.0002624119,0.0008135247,0.003207071,0.00019423,0.0002289895,0.0007607486,0.0003879516,0.002581659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004366159,"about_ca_system_score_gemma":0.0007922673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009335455,"about_ca_topic_score_gemma":0.01669132,"domain_scores_codex":[0.9991314,0.0001666265,0.0000661356,0.0003229501,0.0001568866,0.000156111],"domain_scores_gemma":[0.9984263,0.0005380178,0.0003431083,0.0003171963,0.0002181874,0.0001571271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003038763,0.0000620721,0.8558334,0.001147918,0.001578946,0.0007164158,0.0003138468,0.001587086,0.01596266,0.000765482,0.06890209,0.0500914],"study_design_scores_gemma":[0.0001110537,0.0001932822,0.94651,0.0001719202,0.000722252,0.001092382,0.0001231239,0.001288456,0.002013394,0.0005707667,0.04717718,0.00002618927],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5633146,0.007360019,0.005565688,0.0008989185,0.0002347613,0.0001635699,0.4073279,0.001354692,0.01377981],"genre_scores_gemma":[0.7846692,0.001659256,0.006474826,0.0007866603,0.0001388815,0.0003413017,0.1991469,0.0007218373,0.006061129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01426273,"threshold_uncertainty_score":0.04771358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09505588414339707,"score_gpt":0.4613326691952381,"score_spread":0.3662767850518411,"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."}}