{"id":"W4411003698","doi":"10.1158/1055-9965.29221754","title":"Supplementary Table S8 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; Colorectal cancer screening; Test (biology); Medicine; Table (database); Feces; Internal medicine; Cancer; Computer science; Geology; Data mining","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":[0.001179805,0.001377365,0.001242336,0.001193825,0.0008546244,0.001849823,0.0026121,0.00140603,0.4254608],"category_scores_gemma":[0.01019945,0.0007219514,0.00182512,0.0019761,0.0003873262,0.0008023041,0.0006558276,0.001802871,0.02670563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008123495,"about_ca_system_score_gemma":0.01787158,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8447599,"about_ca_topic_score_gemma":0.8465235,"domain_scores_codex":[0.9994519,0.0001384514,0.00002588696,0.00008356899,0.000129549,0.0001706221],"domain_scores_gemma":[0.9947806,0.00301136,0.0002067854,0.000139117,0.001600343,0.0002618019],"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":[0.0002037178,0.0001175192,0.01362318,0.0006736451,0.0003270144,0.0001497931,0.00004889017,0.09812237,0.00008817999,0.01003508,0.8670964,0.009514181],"study_design_scores_gemma":[0.00293526,0.0002654408,0.04084976,0.001876763,0.001178568,0.0003213577,0.0006523678,0.3002047,0.0006110668,0.0325514,0.6183554,0.0001978948],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005016751,0.0004227651,0.002202931,0.001603235,0.0002737601,0.0001923122,0.965731,0.0004290555,0.02412822],"genre_scores_gemma":[0.2247116,0.001644576,0.01875076,0.003480784,0.0004862938,0.001477296,0.6224794,0.002085307,0.124884],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4254608,"threshold_uncertainty_score":0.8195105,"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."}}