{"id":"W1972016981","doi":"10.1017/s0266462303000692","title":"SCREENING FOR COLORECTAL CANCER USING THE FECAL OCCULT BLOOD TEST: AN ACTUARIAL ASSESSMENT OF THE IMPACT OF A POPULATION-BASED SCREENING PROGRAM IN CANADA","year":2003,"lang":"en","type":"article","venue":"International Journal of Technology Assessment in Health Care","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Medicine; Cohort; Population; Fecal occult blood; Colorectal cancer; Colonoscopy; Randomized controlled trial; Test (biology); Disease; Cancer; Demography; Internal medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007045744,0.000667421,0.0008867207,0.001304545,0.0007895984,0.001333856,0.001867491,0.0007709008,0.002126072],"category_scores_gemma":[0.01305789,0.0003965652,0.001616734,0.001477098,0.0008044817,0.0005365179,0.0008847417,0.001044738,0.0001353148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03781811,"about_ca_system_score_gemma":0.02433256,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9530544,"about_ca_topic_score_gemma":0.8960354,"domain_scores_codex":[0.9979745,0.0007462506,0.00009872679,0.0002538917,0.0005108066,0.0004158313],"domain_scores_gemma":[0.993972,0.003220563,0.0009960989,0.0002121656,0.001126095,0.0004729234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001682639,0.0001720633,0.1852525,0.0005553033,0.002468957,0.0003266319,0.0003244045,0.7732314,0.000427807,0.009910653,0.003587755,0.02205982],"study_design_scores_gemma":[0.0004448823,0.0007745958,0.161896,0.0003105638,0.002082939,0.0002062944,0.000433113,0.8248209,0.0003855175,0.004114462,0.004385634,0.0001450925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9484407,0.006889107,0.01530164,0.00393419,0.00008262353,0.0006321547,0.01181576,0.0001446369,0.01275921],"genre_scores_gemma":[0.9940182,0.001441496,0.002025936,0.0001473298,0.00001108881,0.0000686979,0.001355832,0.000007978819,0.0009234202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04694563,"threshold_uncertainty_score":0.2743909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02879481192358683,"score_gpt":0.4280993571041845,"score_spread":0.3993045451805977,"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."}}