{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009181914,0.0002339667,0.0003476368,0.000860792,0.0007777302,0.0005499054,0.0002096233,0.0002660362,0.001523891],"category_scores_gemma":[0.002063642,0.0001011135,0.0002960209,0.0005779801,0.0001761956,0.0002967731,0.0009637323,0.0002766428,0.0001889269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004547435,"about_ca_system_score_gemma":0.00158396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004437593,"about_ca_topic_score_gemma":0.01009499,"domain_scores_codex":[0.9995664,0.000180471,0.00003898431,0.00003788957,0.0000868767,0.00008943908],"domain_scores_gemma":[0.9995177,0.00004939531,0.0001108278,0.0000133946,0.00008657563,0.0002220534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002225025,0.01204485,0.62436,0.001342837,0.0002251453,0.000423543,0.003536712,0.0001909348,0.003200624,0.0006574225,0.003085612,0.3487072],"study_design_scores_gemma":[0.0006284057,0.02142902,0.9566933,0.00085499,0.0002749618,0.0004345332,0.005331967,0.000499982,0.001290406,0.0007845467,0.01175393,0.00002409972],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994876,0.001233769,0.0001811485,0.0004211884,0.000045877,0.0001856435,0.0001066226,0.00001077592,0.002939151],"genre_scores_gemma":[0.9960315,0.001394875,0.000787965,0.0004237709,0.00004315196,0.0002449126,0.0001324158,0.000001551969,0.0009400675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004437593,"threshold_uncertainty_score":0.008823514,"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."}}