{"id":"W1935122906","doi":"10.1002/cncr.25427","title":"The impact of socioeconomic status on stage of cancer at diagnosis and survival","year":2010,"lang":"en","type":"article","venue":"Cancer","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":294,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Medicine; Stage (stratigraphy); Cancer registry; Cancer; Socioeconomic status; Internal medicine; Population; Breast cancer; Colorectal cancer; Relative survival; Proportional hazards model; Oncology; Gynecology; Demography; Environmental health","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001408945,0.00009452277,0.0002345013,0.00002323421,0.00006384326,0.000006502372,0.00006494312,0.00005561707,0.001351924],"category_scores_gemma":[0.00004512255,0.0000588135,0.00009302895,0.00004287607,0.0002001409,0.00003897974,0.00003500444,0.0001535299,0.000003417706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002393349,"about_ca_system_score_gemma":0.0002910348,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01676128,"about_ca_topic_score_gemma":0.009310061,"domain_scores_codex":[0.9993267,0.00001311292,0.0001747217,0.0001383237,0.0001313677,0.0002157462],"domain_scores_gemma":[0.9993268,0.000142632,0.0001376356,0.0002030849,0.00008244895,0.0001073968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003623005,0.00001317777,0.9692927,0.00003185507,0.0001068513,0.000001354243,0.0002021389,0.00008968974,0.007743539,0.0001267598,0.002634619,0.019395],"study_design_scores_gemma":[0.0007507589,0.0002581172,0.9723814,0.00007372751,0.00004417151,7.455188e-7,0.0001570352,0.00006785068,0.01528717,0.00002986641,0.01087569,0.00007350564],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937708,0.003891098,4.816793e-7,0.000325269,0.0002912239,0.0001563808,0.0002416802,0.000006237304,0.001316777],"genre_scores_gemma":[0.9933577,0.005521986,0.00001140681,0.0001033117,0.0001301816,0.00005714647,0.000002304885,0.00001090351,0.0008051041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0193215,"threshold_uncertainty_score":0.999561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05657624583376918,"score_gpt":0.4000118140586578,"score_spread":0.3434355682248886,"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."}}