{"id":"W4404969668","doi":"10.1016/j.jcpo.2024.100524","title":"Socioeconomic inequalities in kidney and renal pelvis cancer mortality in Canada: Trends over three decades","year":2024,"lang":"en","type":"article","venue":"Journal of Cancer Policy","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Dalhousie University; Canada Research Chairs","keywords":"Socioeconomic status; Cancer; Kidney cancer; Inequality; Renal pelvis; Medicine; Demography; Kidney; Environmental health; Population; Internal medicine; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002331913,0.0001784122,0.0005171481,0.0006099205,0.00001713657,0.00003212896,0.00007369355,0.00006247556,0.0004480637],"category_scores_gemma":[0.00003116927,0.000138458,0.0001023852,0.0002501829,0.00005803021,0.0001656481,0.00002790867,0.0003770115,7.750988e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.006298845,"about_ca_system_score_gemma":0.01112668,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9613699,"about_ca_topic_score_gemma":0.9715906,"domain_scores_codex":[0.9985794,0.00004241349,0.0006240925,0.0001740099,0.0002840329,0.0002960146],"domain_scores_gemma":[0.9993299,0.00006515958,0.0001629673,0.0001147934,0.00004297787,0.0002841745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001722626,0.0000257651,0.9706545,0.0002666008,0.0002888785,0.0005940359,0.0009922595,0.0001288876,0.0005175575,0.0002960429,0.004580994,0.02148219],"study_design_scores_gemma":[0.001567816,0.00009794999,0.9913765,0.0007996574,0.0001347558,0.00008231192,0.0001293522,0.000248672,0.0009245651,0.0004684553,0.004047009,0.0001229524],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9680128,0.02067056,9.301875e-7,0.009997286,0.0002587734,0.00007295548,0.00009416304,0.000004546986,0.0008879969],"genre_scores_gemma":[0.9943621,0.002992191,0.00001839375,0.00117997,0.0009569505,0.00001969582,0.000002555454,0.00002265253,0.000445557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02634924,"threshold_uncertainty_score":0.9975158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03761395709544291,"score_gpt":0.3531112131080964,"score_spread":0.3154972560126535,"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."}}