{"id":"W2891985605","doi":"10.23889/ijpds.v3i4.756","title":"Health Equity in Cancer Screening in Calgary – A Geographic Approach to Account for Population Socioeconomic Status","year":2018,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital; University of Manitoba; Mount Sinai Hospital; Institute for Clinical Evaluative Sciences","funders":"","keywords":"Socioeconomic status; Breast cancer screening; Social deprivation; Demography; Breast cancer; Medicine; Cancer screening; Health equity; Social class; Population; Environmental health; Gerontology; Cancer; Public health; Mammography; Sociology; Pathology","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":[],"consensus_categories":[],"category_scores_codex":[0.002683477,0.0001178669,0.0002347166,0.0008186334,0.0002809672,0.0002061407,0.0007734826,0.00004734298,0.00001817672],"category_scores_gemma":[0.0004465081,0.0001143376,0.00005352076,0.0004067481,0.00008478518,0.001835789,0.000270101,0.0001739958,0.000001954758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001175232,"about_ca_system_score_gemma":0.0006103582,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02217328,"about_ca_topic_score_gemma":0.0103267,"domain_scores_codex":[0.9976255,0.00002306045,0.0006476263,0.0004914008,0.0007123297,0.0005000731],"domain_scores_gemma":[0.9987069,0.00004499773,0.0003100277,0.000251166,0.0004530765,0.0002338371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004973707,0.00005953036,0.8962079,0.00001718622,0.00001492785,0.000001146281,0.0002128498,0.001938676,0.00008460788,0.001538831,0.0005173636,0.09890966],"study_design_scores_gemma":[0.001165212,0.0001462037,0.8853145,0.0002255724,0.000007009882,0.00003230742,0.0001264993,0.1100867,0.000007857497,0.001040894,0.001736105,0.0001111983],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.927991,0.0001768583,0.06578832,0.003197527,0.001344159,0.0009847474,0.0003613835,0.00001738623,0.0001386177],"genre_scores_gemma":[0.9557961,0.0000551095,0.04106529,0.001767296,0.0006150171,0.00005257076,0.0006191765,0.00001093453,0.00001855289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.108148,"threshold_uncertainty_score":0.9843382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2313974561467634,"score_gpt":0.5085167327155664,"score_spread":0.2771192765688031,"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."}}