{"id":"W6887824785","doi":"10.17632/2yh5fp9yfk","title":"Frailty, Nutrition, and Quality of Life in Urban-Dwelling Older Adults Facing Vulnerability: Observational Study in Primary Heath Care","year":2025,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Logistic regression; Observational study; Vulnerability (computing); Odds; Quality of life (healthcare); Odds ratio; Scale (ratio)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004112864,0.000730971,0.001849661,0.0009223041,0.0001310151,0.0001022021,0.002058083,0.0004783624,0.0000993844],"category_scores_gemma":[0.002337243,0.000829005,0.00006677928,0.001294911,0.0001405948,0.0008534382,0.002853828,0.001442046,0.000008387775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008148391,"about_ca_system_score_gemma":0.00127386,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0212655,"about_ca_topic_score_gemma":0.04435187,"domain_scores_codex":[0.9913828,0.001631737,0.00268718,0.002321029,0.001387392,0.0005898714],"domain_scores_gemma":[0.9932469,0.001030223,0.0007411317,0.004408407,0.0004075588,0.0001657855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004583166,0.002838865,0.2369309,0.006751594,0.0001118107,0.00001393051,0.001020511,0.00004629084,0.000008994777,0.000003300446,0.7516053,0.0002101795],"study_design_scores_gemma":[0.02343333,0.0002613703,0.6681789,0.01114325,0.000348811,0.000002350985,0.01373607,0.0004696786,0.00001600346,0.00008434253,0.2800586,0.002267318],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1509348,0.004337497,0.00001127211,0.00005031771,0.0001368288,0.002977661,0.8414975,0.0000411693,0.00001292251],"genre_scores_gemma":[0.0252093,0.0003072337,0.000431612,0.0001616151,0.0001235707,0.0003250166,0.9733855,0.00004482441,0.00001138552],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4715467,"threshold_uncertainty_score":0.9994161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1993489808073089,"score_gpt":0.3887573073376082,"score_spread":0.1894083265302993,"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."}}