{"id":"W4385560536","doi":"10.12927/hcq.2023.27143","title":"Creating Health Equity in Cancer Screening: Developing Outreach Strategies for Under-Screened Populations through Community Engagement","year":2023,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Provincial Laboratory of Public Health; Institute of Population and Public Health; Alberta Medical Association; CARE Canada; Alberta Health Services","funders":"","keywords":"Outreach; Cancer screening; Health equity; Community engagement; Equity (law); Community health; Community health workers; Family medicine; Medicine; Cancer; Public relations; Environmental health; Medical education; Nursing; Public health; Political science; Health services; Population; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01245871,0.0002840287,0.0001878133,0.0008779617,0.006559232,0.005635323,0.001083459,0.002212907,0.005600675],"category_scores_gemma":[0.01097256,0.0002839472,0.0003923938,0.0007710757,0.00252198,0.002907823,0.01465066,0.00250292,0.0004911677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004340875,"about_ca_system_score_gemma":0.02712265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01073685,"about_ca_topic_score_gemma":0.03495157,"domain_scores_codex":[0.9942153,0.003031636,0.0001438115,0.0002177904,0.0004596126,0.00193194],"domain_scores_gemma":[0.9906228,0.003664284,0.0005262474,0.0002470778,0.001054578,0.003885054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00009741814,0.001823865,0.07003919,0.00180807,0.00005321376,0.001269635,0.2863039,0.0003008676,0.003223037,0.0285924,0.03032251,0.576166],"study_design_scores_gemma":[0.0002579759,0.001018442,0.1451025,0.002329075,0.0001258491,0.001031928,0.4871899,0.001019219,0.004558106,0.01573075,0.3415157,0.0001205933],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7222156,0.002189409,0.0142625,0.09198042,0.0006580458,0.004207308,0.0002233883,0.0002379145,0.1640254],"genre_scores_gemma":[0.9714579,0.001117683,0.008837442,0.00797618,0.00006753251,0.001118994,0.00007083052,0.00002580229,0.009327502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01245871,"threshold_uncertainty_score":0.06588876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7276593313413234,"score_gpt":0.6022490747334724,"score_spread":0.125410256607851,"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."}}