{"id":"W4412821387","doi":"10.1093/oncolo/oyaf199","title":"A blueprint for creating an early-onset colorectal cancer program based on experiences from seven clinical centers across the United States and Canada","year":2025,"lang":"en","type":"article","venue":"The Oncologist","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Research in Immunology and Cancer; Fraser Health; Occupational Cancer Research Centre","funders":"National Cancer Institute","keywords":"Blueprint; Population; Guideline; Best practice; Process (computing); Medicine; Medical education; Process management; Political science; Computer science; Business; Engineering; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005004756,0.0001175183,0.0002112202,0.00002041093,0.0004505384,0.00006516691,0.0001391611,0.00006746667,0.00001053955],"category_scores_gemma":[0.0003461115,0.00006410706,0.00005107101,0.0001758088,0.0004023479,0.00001961103,0.00005017396,0.0002355148,1.605547e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002536718,"about_ca_system_score_gemma":0.0005322276,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8218717,"about_ca_topic_score_gemma":0.8240845,"domain_scores_codex":[0.998951,0.0001836115,0.0002255769,0.0002669496,0.0001436674,0.0002291969],"domain_scores_gemma":[0.9982376,0.001318228,0.00009889677,0.0001892718,0.00008085259,0.00007516894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03291227,0.0004513717,0.8007817,0.0000418139,0.000232605,0.00001777744,0.01129155,0.001265542,0.0000791198,0.00001022169,0.002562938,0.1503531],"study_design_scores_gemma":[0.002359937,0.007355361,0.8702998,0.0001564721,0.0001141205,0.000002740722,0.03279367,0.07837747,0.001302401,0.00003574587,0.007061335,0.0001409967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947655,0.00005153927,0.0001114214,0.003391857,0.0003861342,0.0009828029,0.00009658809,0.00007659411,0.0001376101],"genre_scores_gemma":[0.9962206,0.00002375097,0.0002465,0.002188071,0.0001131933,0.001057335,0.0000536819,0.000007894393,0.00008901323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1502121,"threshold_uncertainty_score":0.3465222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04092711426706386,"score_gpt":0.4009032914234042,"score_spread":0.3599761771563403,"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."}}