{"id":"W2104655979","doi":"10.1186/1471-2318-14-9","title":"Effects of impairment in activities of daily living on predicting mortality following hip fracture surgery in studies using administrative healthcare databases","year":2014,"lang":"en","type":"article","venue":"BMC Geriatrics","topic":"Hip and Femur Fractures","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; Institute for Clinical Evaluative Sciences; Women's College Hospital; University of Toronto; Queen's University","funders":"Institute of Gender and Health; Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care; Institute of Nutrition, Metabolism and Diabetes; Heart and Stroke Foundation of Canada; Institute for Clinical Evaluative Sciences; Queen's University","keywords":"Medicine; Activities of daily living; Hip fracture; Confounding; Comorbidity; Logistic regression; Observational study; Rehabilitation; Physical therapy; Database; Generalizability theory; Gerontology; Osteoporosis; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.02087097,0.0004678897,0.0007715877,0.002078161,0.0006381019,0.001879777,0.001017328,0.000608407,0.0006002045],"category_scores_gemma":[0.07436795,0.000433315,0.002199432,0.004124699,0.000545807,0.0009439919,0.001544591,0.001032629,0.00009341661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001208172,"about_ca_system_score_gemma":0.00209078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09093197,"about_ca_topic_score_gemma":0.1124009,"domain_scores_codex":[0.9835927,0.009838224,0.002315149,0.001317413,0.002273757,0.0006627354],"domain_scores_gemma":[0.9207364,0.04598942,0.02171512,0.00402843,0.005613794,0.001916751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009422719,0.000007582412,0.9987118,0.00003328084,0.0003484286,0.0000132362,0.00005026485,0.0000599692,0.000007971293,0.00001082474,0.00004467528,0.0006178276],"study_design_scores_gemma":[0.00000986905,0.00004347731,0.9983866,0.00007752991,0.0003248021,0.00005919053,0.0001618675,0.00076801,0.00001973929,0.00002424976,0.000119465,0.000005119306],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938256,0.003594534,0.0002903244,0.0003355828,0.0000209228,0.00002964207,0.00133007,0.000006781105,0.0005667025],"genre_scores_gemma":[0.9984558,0.0004727676,0.0001989421,0.00005767353,0.00001868261,0.00002035089,0.0007424709,0.000002044336,0.0000312503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09093197,"threshold_uncertainty_score":0.1808053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1013655780169523,"score_gpt":0.3884271785435414,"score_spread":0.2870616005265891,"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."}}