{"id":"W4389606885","doi":"10.1093/jncics/pkad105","title":"Progress in cancer control leads to a substantial number of cancer deaths avoided in Canada","year":2023,"lang":"en","type":"article","venue":"JNCI Cancer Spectrum","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institutes of Health Research; Public Health Agency of Canada; Institute of Cancer Research; Statistics Canada; University of Calgary","funders":"","keywords":"Medicine; Cancer; Standardized mortality ratio; Demography; Mortality rate; Population; Cause of death; Environmental health; Surgery; Internal medicine; Disease","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":[0.0009828816,0.000190879,0.0003062921,0.001208015,0.0006367754,0.0007769931,0.000379407,0.0002424956,0.001566979],"category_scores_gemma":[0.00353627,0.0001066949,0.0004527632,0.002141482,0.0003502223,0.0002982538,0.0004371802,0.0005160615,0.0001128674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01392026,"about_ca_system_score_gemma":0.01519189,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9595891,"about_ca_topic_score_gemma":0.9846192,"domain_scores_codex":[0.9986236,0.0001456075,0.00005808959,0.0001004141,0.0008298811,0.0002424089],"domain_scores_gemma":[0.9986958,0.0001152338,0.0002726047,0.0000515878,0.0007257822,0.0001390829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002476917,0.00003610547,0.8924959,0.0002793592,0.0004196319,0.0001658011,0.0003410893,0.004703337,0.0008094457,0.002443156,0.005917496,0.09214106],"study_design_scores_gemma":[0.00001152695,0.00003402148,0.987913,0.00008270788,0.0001038014,0.00009899386,0.0004080042,0.00185463,0.0004590899,0.0002967688,0.00872052,0.00001703348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9282845,0.01499077,0.003591314,0.004646683,0.0001289084,0.00009257364,0.01187117,0.0002155179,0.03617866],"genre_scores_gemma":[0.9889553,0.003760715,0.002079056,0.0002846867,0.00001888095,0.00001637111,0.001983409,0.00001330474,0.002888274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04041088,"threshold_uncertainty_score":0.100999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03961308598667412,"score_gpt":0.3695972981936099,"score_spread":0.3299842122069357,"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."}}