{"id":"W2078926053","doi":"10.1016/j.pec.2011.11.014","title":"Using visual displays to communicate risk of cancer to women from diverse race/ethnic backgrounds","year":2012,"lang":"en","type":"article","venue":"Patient Education and Counseling","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Cancer Institute; National Institute on Aging; Agency for Healthcare Research and Quality","keywords":"Ethnic group; Numeracy; Icon; Medicine; Race (biology); Demography; Breast cancer; Cervical cancer; Gerontology; Statistic; Psychology; Cancer; Family medicine; Literacy; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001151576,0.0006247769,0.0001847425,0.0006156769,0.0005039297,0.001123637,0.0002863308,0.0007518561,0.01447272],"category_scores_gemma":[0.008545744,0.0001521007,0.0002128179,0.0002416557,0.0001465899,0.0006638979,0.001105562,0.0004141082,0.001513217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002166874,"about_ca_system_score_gemma":0.0002172818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00124591,"about_ca_topic_score_gemma":0.002026405,"domain_scores_codex":[0.999612,0.0002683317,0.00001621417,0.00002376815,0.0000411655,0.00003862832],"domain_scores_gemma":[0.9958352,0.003282866,0.0002692973,0.0001147452,0.0002652834,0.0002326153],"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":[0.005814406,0.002415003,0.0890419,0.002106198,0.0002653928,0.002183884,0.03302462,0.002965678,0.03440882,0.005267677,0.1842378,0.6382686],"study_design_scores_gemma":[0.00269851,0.008868502,0.3178325,0.005510919,0.001866961,0.007304048,0.07342607,0.04223536,0.05709791,0.02263847,0.4597043,0.0008165192],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8168274,0.001889535,0.04531948,0.0149227,0.001064563,0.000677493,0.00195501,0.004834333,0.1125095],"genre_scores_gemma":[0.9531716,0.001134209,0.02897836,0.003315738,0.0002995146,0.0004486683,0.0004261086,0.0001634075,0.0120623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01447272,"threshold_uncertainty_score":0.04841608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1052848085899802,"score_gpt":0.41772136259312,"score_spread":0.3124365540031399,"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."}}