{"id":"W4417208861","doi":"10.1158/1557-3265.earlyonsetca25-ia002","title":"Abstract IA002: Early-Onset Colorectal Cancer as a Model for Precision Cancer Prevention","year":2025,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cancer prevention; Colorectal cancer; Cancer; Disease; Precision medicine; Microbiome; Aspirin; Disease prevention; Breast cancer","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":[0.001252331,0.0006051104,0.0005316822,0.0006955685,0.0008006422,0.002304173,0.0009004282,0.002004251,0.007946534],"category_scores_gemma":[0.001299649,0.0001878546,0.000530769,0.0004242484,0.001766256,0.001523545,0.002068776,0.003755048,0.001462767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001571016,"about_ca_system_score_gemma":0.002119749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003759665,"about_ca_topic_score_gemma":0.003940091,"domain_scores_codex":[0.9995882,0.0001400446,0.00001502308,0.00007368616,0.0001271745,0.00005592169],"domain_scores_gemma":[0.9991261,0.0002263684,0.00008968551,0.0001023616,0.0001303628,0.0003250694],"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":[0.0009149932,0.0006304972,0.003418946,0.001740379,0.0001230003,0.000952179,0.0008601691,0.002375746,0.02399188,0.2899158,0.4289626,0.2461137],"study_design_scores_gemma":[0.0002566053,0.001018333,0.006773553,0.001210194,0.0001666498,0.0009438663,0.0007775866,0.004315482,0.006727815,0.143651,0.8340662,0.00009275175],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0596039,0.1760313,0.05000581,0.4449614,0.06518424,0.0006349463,0.001903028,0.001503572,0.2001718],"genre_scores_gemma":[0.4511369,0.1873417,0.04369579,0.06691533,0.01658371,0.001082247,0.001441797,0.000302566,0.2314999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007946534,"threshold_uncertainty_score":0.02658379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3123093736101132,"score_gpt":0.6194755135353421,"score_spread":0.307166139925229,"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."}}