{"id":"W2162891254","doi":"10.1093/epirev/mxq021","title":"Measuring Mortality Reductions in Cancer Screening Trials","year":2011,"lang":"en","type":"article","venue":"Epidemiologic Reviews","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University","funders":"Department of Epidemiology, Biostatistics and Occupational Health, McGill University; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Medicine; Cancer; Colorectal cancer; Breast cancer; Randomized controlled trial; Natural history; Clinical trial; Prostate cancer; Cancer screening; Mortality rate; Disease; Demography; Intensive care medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3430463,0.002013841,0.006182993,0.008069465,0.0006062557,0.003908611,0.002641024,0.003055352,0.00308982],"category_scores_gemma":[0.5916772,0.001313316,0.006654259,0.009289935,0.001966215,0.00445951,0.003815888,0.00447564,0.0007770197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004368756,"about_ca_system_score_gemma":0.003804476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001021624,"about_ca_topic_score_gemma":0.0009984961,"domain_scores_codex":[0.4099947,0.5065452,0.03951404,0.008778522,0.03359689,0.001570629],"domain_scores_gemma":[0.5051818,0.3930569,0.06177726,0.0168251,0.02152108,0.001637855],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.02250001,0.0006584508,0.05733697,0.0873987,0.07911093,0.0002229947,0.002123868,0.01298663,0.001599103,0.04573643,0.03695334,0.6533726],"study_design_scores_gemma":[0.03540716,0.04470352,0.2617671,0.06332114,0.1297196,0.001690248,0.001969056,0.02391935,0.01507323,0.1894501,0.2319634,0.001016058],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.06684484,0.6817964,0.1511483,0.02927389,0.012306,0.01775664,0.01011845,0.0009553611,0.02980017],"genre_scores_gemma":[0.6680037,0.1365272,0.122503,0.01756642,0.005709565,0.03938017,0.005988888,0.0002786642,0.004042365],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6569537,"threshold_uncertainty_score":0.8101409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7672342594608328,"score_gpt":0.4809905079133991,"score_spread":0.2862437515474337,"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."}}