{"id":"W4411003666","doi":"10.1158/1055-9965.29221763","title":"Supplementary Table S5 from Modeling the Economic and Health Impact of Lowering the Recommended Colorectal Cancer Screening Age in Canada Using Fecal Immunochemical Test versus Colonoscopy","year":2025,"lang":"en","type":"supplementary-materials","venue":"","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Colonoscopy; Colorectal cancer; Test (biology); Medicine; Colorectal cancer screening; Table (database); Feces; General surgery; Internal medicine; Oncology; Demography; Cancer; Computer science; Sociology; Data mining; Geology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001686101,0.001445047,0.001350324,0.001205657,0.0008628741,0.001791162,0.002733823,0.001247469,0.365705],"category_scores_gemma":[0.0122584,0.0007103311,0.002243892,0.001835293,0.0004171644,0.0008220851,0.0006964058,0.002013442,0.01721446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008987009,"about_ca_system_score_gemma":0.01890798,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8457763,"about_ca_topic_score_gemma":0.8306201,"domain_scores_codex":[0.9992473,0.0002347652,0.00003542191,0.0001184464,0.0001540972,0.0002100446],"domain_scores_gemma":[0.9930083,0.004361411,0.0002824916,0.0001774198,0.001861849,0.0003087021],"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":[0.0004353588,0.0001897651,0.02504623,0.0009699555,0.0007095913,0.000232375,0.00007104712,0.1488299,0.0001189413,0.01316154,0.7964554,0.01377981],"study_design_scores_gemma":[0.004061736,0.0004844196,0.05888104,0.002136562,0.00247878,0.0004343783,0.0009450111,0.3804232,0.0008080053,0.03615983,0.512944,0.0002428937],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01181767,0.0006531045,0.004232062,0.002153052,0.0003899627,0.0003458613,0.9507307,0.0005376725,0.02913998],"genre_scores_gemma":[0.3531163,0.001611798,0.02122317,0.003082139,0.0004591632,0.001820239,0.4924611,0.001773979,0.1244521],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.365705,"threshold_uncertainty_score":0.9047449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04305917045876364,"score_gpt":0.3433306203527985,"score_spread":0.3002714498940349,"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."}}