{"id":"W2782400280","doi":"10.1016/j.gerinurse.2017.11.004","title":"Inadequate fluid intake in long term care residents: prevalence and determinants","year":2018,"lang":"en","type":"article","venue":"Geriatric Nursing","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"Research Institute for Aging; University of Manitoba; Université de Moncton; University of Alberta; University of Waterloo; Toronto Rehabilitation Institute; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Fluid intake; Medicine; Dementia; Staffing; Water intake; Long-term care; Gerontology; Psychological intervention; Environmental health; Internal medicine; Nursing; Disease","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001839563,0.0001162907,0.0002194863,0.0002864382,0.0001392602,0.00002863882,0.00006007907,0.00008291539,0.0000600842],"category_scores_gemma":[0.00006109084,0.0001167691,0.00002309064,0.0003027448,0.0001198208,0.0001210806,0.00002375355,0.0001579702,0.00001863322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002640615,"about_ca_system_score_gemma":0.00008142511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005248161,"about_ca_topic_score_gemma":0.00004644785,"domain_scores_codex":[0.9988385,0.00004958721,0.000314326,0.0002867414,0.0001682575,0.000342523],"domain_scores_gemma":[0.9994701,0.00002671296,0.00007446303,0.000192608,0.00008397585,0.000152107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002375593,0.00006318088,0.7281992,0.001801458,0.000002770166,0.000113117,0.003876538,4.214112e-8,0.0009391239,0.0000160722,0.0002647489,0.2644862],"study_design_scores_gemma":[0.001632813,0.0002346879,0.9920304,0.003430653,0.00003729785,0.0001736322,0.0003613253,0.00005146494,0.001689892,0.0001465084,0.00009065294,0.0001206849],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99278,0.004427023,0.00008365447,0.000554055,0.0005364082,0.0003924245,0.00000257407,0.00004720062,0.00117671],"genre_scores_gemma":[0.9973184,0.0006652723,0.001024662,0.0002821749,0.0005030935,0.00000974058,0.000004367491,0.0000180527,0.0001742436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2643655,"threshold_uncertainty_score":0.4761705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02232903109587733,"score_gpt":0.3505428021178538,"score_spread":0.3282137710219765,"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."}}