{"id":"W2730840605","doi":"10.1186/s12963-017-0142-4","title":"Choice of relative or cause-specific approach to cancer survival analysis impacts estimates differentially by cancer type, population, and application: evidence from a Canadian population-based cohort study","year":2017,"lang":"en","type":"article","venue":"Population Health Metrics","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada; Cancer Care Ontario; Pediatric Oncology Group","funders":"Institute of Population and Public Health; Institute of Aboriginal Peoples Health; Canadian Institutes of Health Research","keywords":"Relative survival; Medicine; Demography; Population; Cohort; Cancer; Prostate cancer; Survival analysis; Cohort study; Cause of death; Census; Socioeconomic status; Breast cancer; Oncology; Cancer registry; Internal medicine; Environmental health; Disease","routes":{"ca_aff":true,"ca_fund":true,"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":[],"category_scores_codex":[0.1061357,0.0007976936,0.0009106555,0.002357765,0.00180831,0.002047749,0.002377315,0.0007526912,0.001342495],"category_scores_gemma":[0.1843988,0.0003651807,0.003326858,0.004967977,0.002797111,0.0009460945,0.001901643,0.001208041,0.0001225248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00630619,"about_ca_system_score_gemma":0.01307178,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5734253,"about_ca_topic_score_gemma":0.6620636,"domain_scores_codex":[0.9390025,0.04148708,0.002579398,0.005538896,0.01034999,0.001042191],"domain_scores_gemma":[0.8458629,0.1113117,0.01111944,0.0121757,0.01803475,0.001495483],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009854947,0.00003657871,0.9146839,0.001314844,0.00776813,0.00006378668,0.001772428,0.002244071,0.0002083827,0.003165764,0.001781587,0.06597503],"study_design_scores_gemma":[0.0002053089,0.0004487011,0.9739261,0.001272315,0.007700701,0.0002105143,0.00123357,0.004007418,0.0006063942,0.002450175,0.007831643,0.0001071502],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8696596,0.05367703,0.04600816,0.006166868,0.0005273765,0.000913269,0.006545832,0.000148391,0.01635342],"genre_scores_gemma":[0.9786078,0.006099834,0.0124355,0.0007504573,0.00007172918,0.0001809932,0.001289812,0.00005042362,0.0005133908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8938643,"threshold_uncertainty_score":0.8581738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2410428181900748,"score_gpt":0.4645729670136389,"score_spread":0.223530148823564,"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."}}