{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002625984,0.0002895818,0.0008027086,0.0002545704,0.00004306841,0.000016016,0.0002518946,0.000105319,0.001137156],"category_scores_gemma":[0.0000418946,0.000276329,0.00009434473,0.002075772,0.00006535921,0.0001132234,0.0000597283,0.0003998351,0.00002013191],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004070697,"about_ca_system_score_gemma":0.005970268,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9807297,"about_ca_topic_score_gemma":0.9976118,"domain_scores_codex":[0.9969612,0.0000516279,0.000647807,0.0005336663,0.000821089,0.0009845888],"domain_scores_gemma":[0.9990507,0.00005602265,0.0001636986,0.0003322134,0.000122113,0.000275268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00103061,0.00003124372,0.9846781,0.0001258241,0.00006173638,0.0004732537,0.0004660062,0.001589145,0.0005758282,0.0001035106,0.004965335,0.005899357],"study_design_scores_gemma":[0.003747529,0.00009639838,0.985146,0.001156148,0.00007355916,0.00001150954,0.000398226,0.001097176,0.005695857,0.00006146885,0.002177396,0.000338686],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824849,0.003721957,0.000006851474,0.01117154,0.0008571153,0.0008373605,0.0002159364,0.00004939113,0.0006549584],"genre_scores_gemma":[0.9955698,0.0007692681,0.00003484956,0.001906204,0.0004283052,0.0008358502,0.000007925633,0.00004562603,0.0004021356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01688211,"threshold_uncertainty_score":0.9999689,"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."}}