{"id":"W3097563867","doi":"10.47670/wuwijar202041tv","title":"Malnutrition Intervention in Low Socioeconomic Senior Populations","year":2020,"lang":"en","type":"article","venue":"Westcliff International Journal of Applied Research","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wycliffe College","funders":"","keywords":"Malnutrition; Socioeconomic status; Intervention (counseling); Environmental health; Medicine; Gerontology; Population; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00119715,0.00007878771,0.0002331519,0.000674205,0.00005673824,0.00005267494,0.0002141894,0.00008211647,0.0007083602],"category_scores_gemma":[0.0001328276,0.00007706,0.0001271634,0.0001971677,0.00006926406,0.0001363354,0.00005947119,0.0008666569,0.0001822224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004104024,"about_ca_system_score_gemma":0.0001590014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001939796,"about_ca_topic_score_gemma":0.00001446817,"domain_scores_codex":[0.9980801,0.00007761608,0.0007543428,0.0001549035,0.0007185334,0.0002144583],"domain_scores_gemma":[0.9987828,0.00009448503,0.0002006051,0.00007125259,0.0006188214,0.0002320518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0373245,0.009740568,0.3523391,0.003636571,0.0009990043,0.002819852,0.01192153,0.001862233,0.136106,0.144183,0.1104823,0.1885853],"study_design_scores_gemma":[0.06389538,0.002981874,0.7368096,0.005390238,0.000109704,0.001296144,0.01305729,0.01745124,0.02182473,0.07517462,0.06114745,0.0008617816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9281008,0.0001583819,0.0007930134,0.06625023,0.0004539854,0.0004023214,0.00001269304,0.00001836828,0.003810155],"genre_scores_gemma":[0.9940283,0.0001913189,0.003155011,0.001382102,0.001125466,0.00001439066,0.00003575621,0.00001576999,0.00005191199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3844704,"threshold_uncertainty_score":0.7756048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1576366208225285,"score_gpt":0.4733486926882439,"score_spread":0.3157120718657154,"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."}}