{"id":"W4383620621","doi":"10.1016/j.jneb.2023.05.154","title":"Elevating Historically Marginalized Voices in a National Aging Network Needs Assessment","year":2023,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Needs assessment; Medicaid; Gerontology; Inclusion (mineral); Indigenous; Descriptive statistics; Equity (law); Psychology; Diversity (politics); Medicine; Health care; Sociology; Social psychology; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.02101303,0.0003199977,0.0003809308,0.002476538,0.01851319,0.005977205,0.001977751,0.002582278,0.004272632],"category_scores_gemma":[0.03846887,0.0004100163,0.0003959674,0.001091859,0.003957965,0.007199706,0.0212599,0.006278396,0.000360971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009888802,"about_ca_system_score_gemma":0.03136609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02550087,"about_ca_topic_score_gemma":0.1020441,"domain_scores_codex":[0.9874107,0.00588756,0.0004925164,0.0003494685,0.002184521,0.003675177],"domain_scores_gemma":[0.9810315,0.004202056,0.001440032,0.0004092785,0.00548675,0.007430457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001147859,0.0007977372,0.1403288,0.0003040592,0.00003477136,0.001410964,0.7345657,0.0001376197,0.0008727064,0.01333929,0.02556988,0.08252373],"study_design_scores_gemma":[0.0000114077,0.0001171945,0.02138166,0.0005059691,0.00002040329,0.00028844,0.9406535,0.000247844,0.0002506883,0.004176818,0.03231575,0.00003038469],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8565496,0.0008671865,0.0009155366,0.1129492,0.000835546,0.0003127542,0.0001177922,0.0000148436,0.02743766],"genre_scores_gemma":[0.9835635,0.0005579566,0.001419987,0.01047954,0.0001304936,0.000384048,0.00005371799,0.0000160979,0.003394572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02550087,"threshold_uncertainty_score":0.1111289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05413171845554555,"score_gpt":0.442835775976458,"score_spread":0.3887040575209124,"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."}}