{"id":"W2889574615","doi":"10.5888/pcd15.180026","title":"Visualizing Reach of Racial and Ethnic Approaches to Community Health for Asian Americans: the REACH FAR Project in New York and New Jersey","year":2018,"lang":"en","type":"article","venue":"Preventing Chronic Disease","topic":"Racial and Ethnic Identity Research","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Chronic Disease Prevention and Health Promotion; National Institute of Diabetes and Digestive and Kidney Diseases; Centers for Disease Control and Prevention; York University; National Institute on Minority Health and Health Disparities; New York State Department of Health; State of New Jersey Department of Health; National Center for Advancing Translational Sciences; New York City Department of Health and Mental Hygiene; National Institutes of Health","keywords":"Medicine; Ethnic group; Public health; Health promotion; Disease; Chronic disease; Promotion (chess); Gerontology; Family medicine; Nursing; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001603551,0.0002188547,0.000252143,0.001629926,0.002995207,0.00209423,0.000694327,0.0004740289,0.003598404],"category_scores_gemma":[0.003093217,0.0002093553,0.0002485434,0.001689235,0.001095328,0.001854526,0.003155635,0.0007168197,0.0001741133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003256914,"about_ca_system_score_gemma":0.003301815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.323078,"about_ca_topic_score_gemma":0.7087741,"domain_scores_codex":[0.9992698,0.0003538437,0.00002670701,0.0001116799,0.0001164622,0.0001215432],"domain_scores_gemma":[0.998199,0.000911887,0.0001759208,0.0001047182,0.0002683749,0.0003401524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006844065,0.000681775,0.4378285,0.0004888637,0.0001904815,0.0009247118,0.3171942,0.002404622,0.003207645,0.02233249,0.05866548,0.1553967],"study_design_scores_gemma":[0.00006373489,0.0001633379,0.5299696,0.0003012629,0.0001679702,0.0001565154,0.3819696,0.003694127,0.000819077,0.006358167,0.07624414,0.00009246915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9685715,0.0006333838,0.002733857,0.002553793,0.00006188259,0.00008577728,0.001678154,0.0001522632,0.02352937],"genre_scores_gemma":[0.9869896,0.0004359967,0.005980379,0.000249327,0.00001207433,0.0001793873,0.001547929,0.00006918082,0.004536252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.323078,"threshold_uncertainty_score":0.642395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.432460517793434,"score_gpt":0.4790271648745559,"score_spread":0.0465666470811219,"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."}}