{"id":"W38172724","doi":"","title":"Nutritional risk among older Canadians.","year":2013,"lang":"en","type":"article","venue":"PubMed","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Medicine; Malnutrition; Environmental health; Depression (economics); Gerontology; Risk assessment; Logistic regression; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001327051,0.00006510493,0.0001199497,0.0001064553,0.00008788439,0.00002044216,0.00003632117,0.00005507775,0.001218175],"category_scores_gemma":[0.00006300646,0.00006071635,0.000043259,0.0001102384,0.00004745789,0.0000830127,0.000007265096,0.0001793349,0.0001810383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001022831,"about_ca_system_score_gemma":0.00003947131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005935485,"about_ca_topic_score_gemma":0.0004861608,"domain_scores_codex":[0.9991847,0.00002173783,0.0001555007,0.0001357379,0.000150481,0.0003518387],"domain_scores_gemma":[0.999218,0.0000313004,0.00003887817,0.000121798,0.00008295869,0.000507086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009148308,0.0001108958,0.7564529,0.0001285854,0.00002216325,0.00001615826,0.00006156577,2.104409e-7,0.000004397094,0.0003947432,0.180294,0.06250529],"study_design_scores_gemma":[0.001126734,0.000006024834,0.9632939,0.00002603081,0.00001500482,0.00001389354,0.00004767259,0.00003206109,0.00003994239,0.0007541767,0.03458228,0.00006230112],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9407947,0.0003632002,0.00004912824,0.02022648,0.0003278785,0.001921304,0.00002644905,0.0001119107,0.03617896],"genre_scores_gemma":[0.9880115,0.0000782624,0.0004502209,0.004848257,0.0003896938,0.002568605,0.00002719769,0.00001258039,0.003613731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.206841,"threshold_uncertainty_score":0.9996948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02202537921568429,"score_gpt":0.2457080422454304,"score_spread":0.2236826630297461,"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."}}