{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001257891,0.0002142492,0.0008965561,0.0003838013,0.00004778321,0.000006243252,0.00005874545,0.000103744,0.000002535537],"category_scores_gemma":[0.003901679,0.0001823507,0.0001648581,0.0004033229,0.00004959065,0.0001337847,0.00005760461,0.0002838647,1.511388e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001546266,"about_ca_system_score_gemma":0.0003381495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009775053,"about_ca_topic_score_gemma":0.0006148426,"domain_scores_codex":[0.9979786,0.0003858171,0.0006520373,0.00028932,0.0003992053,0.0002950713],"domain_scores_gemma":[0.9937958,0.005393351,0.0004133038,0.0002659032,0.00005692741,0.00007474024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001877897,0.0003497266,0.987643,0.00400333,0.00007396874,0.00003715807,0.00590301,0.0002704701,0.001208137,0.00001294748,0.00002467773,0.000285777],"study_design_scores_gemma":[0.0006668083,0.000336551,0.9756888,0.00286482,0.0001317846,0.000003079528,0.005937742,0.0003895359,0.01379649,0.00002763487,0.000007672058,0.0001490575],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970604,0.001720143,0.0003259348,0.00004045877,0.0002975575,0.000495059,0.00001598533,0.00002056957,0.00002387202],"genre_scores_gemma":[0.9988107,0.0001102939,0.0007646859,0.0001018563,0.0001594092,0.00001750347,0.00001171302,0.00002038965,0.000003453231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01258836,"threshold_uncertainty_score":0.7436047,"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."}}