{"id":"W2185234758","doi":"","title":"Estimating relative survival for cancer: An analysis of bias introduced by outdated life tables.","year":2014,"lang":"en","type":"article","venue":"PubMed","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Relative survival; Demography; Cancer registry; Population; Survival analysis; Cancer; Medicine; Statistics; Internal medicine; Mathematics","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2785287,0.001279607,0.001732216,0.004948706,0.0006898706,0.002425732,0.002710062,0.001294536,0.002227455],"category_scores_gemma":[0.6072245,0.0007756104,0.003489161,0.007252337,0.001619987,0.003204872,0.002677792,0.002587123,0.0003597277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003461051,"about_ca_system_score_gemma":0.002161261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005577243,"about_ca_topic_score_gemma":0.003569527,"domain_scores_codex":[0.7475584,0.2202732,0.007732452,0.007489062,0.01620485,0.0007420899],"domain_scores_gemma":[0.211291,0.7255842,0.03012313,0.02198108,0.0105343,0.0004863944],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002479744,0.0001139233,0.5866323,0.005266027,0.01965343,0.0005201559,0.003816247,0.03570327,0.0004017897,0.03048088,0.01026235,0.3046699],"study_design_scores_gemma":[0.0007353133,0.003337084,0.3957554,0.009046341,0.01756757,0.005159469,0.002695876,0.2883775,0.005063639,0.1644851,0.1071212,0.0006556223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1771531,0.05329088,0.7545069,0.002426989,0.001650699,0.001337311,0.005188318,0.0008103461,0.003635448],"genre_scores_gemma":[0.7559562,0.006181127,0.2284752,0.00151219,0.0006958926,0.001874993,0.00375975,0.0004328658,0.00111178],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7214713,"threshold_uncertainty_score":0.8897026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05181850995508321,"score_gpt":0.315722826682142,"score_spread":0.2639043167270588,"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."}}